System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving original content provided by a user; means for using a generative model to simplify the original content for infants; means for automatically generating learning content in the form of coloring based on the simplified content; and means for delivering the automatically generated learning content in the form of coloring to a terminal of the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In today's Internet environment, there is a wide variety of content accessible to young children, but much of it is not suited to their level of comprehension. Furthermore, text-based content is rarely appealing to children, limiting their opportunities for natural learning. Given this background, there is a need for a system that provides knowledge in a format that is both interesting and easy for young children to understand. [Means for solving the problem]

[0005] This invention includes a means for receiving original content provided by a user and using a generative model to simplify it for young children. It also includes a means for automatically generating coloring-book-style learning content based on the simplified content and delivering the learning content to the user's device. It also includes a means for adding visual elements to the simplified content and integrating the learning elements into the generated coloring-book-style learning content. It also includes a means for providing an interface that makes it easy for the user to input the original content and a means for displaying the interface for using the coloring-book-style learning content. This allows for an environment that engages young children and allows them to learn naturally.

[0006] A "generative model" is a machine learning model that simplifies the original content provided by users for young children.

[0007] "Original content" refers to materials such as text and image files that contain the information the user wants to learn.

[0008] "Simplification" is the process of converting difficult words and complex sentence structures into simple and easy expressions.

[0009] "Learning content in the form of a coloring book" is content that is provided as a coloring book that visually represents the learning content.

[0010] A "user device" is a device such as a computer, tablet, or smartphone that children use at home, school, or elsewhere.

[0011] "Visual elements" are visual elements such as images, figures, and illustrations that complement text information and aid understanding.

[0012] A "learning element" is a major part of the content that contains the knowledge or information to be learned.

[0013] An "interface" is an operation screen or input device that allows a user to operate a system or receive information from the system. [Brief explanation of the drawings]

[0014] [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

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] This invention is a knowledge provision system for young children, which has a mechanism in which a server, a terminal, and a user work together. This system is implemented in the following way.

[0036] Server Processing

[0037] Receiving input

[0038] The server receives the original content sent by the user from the device. This content is material such as text and image files containing the information to be learned.

[0039] Simplifying content

[0040] The server uses a generative model to simplify the original content it receives for young children. A generative model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it replaces difficult words with simpler terms and converts complex sentence structures into simpler sentences. It also generates visual elements as needed. Visual elements are images, shapes, illustrations, and other visual elements that complement text information and aid understanding.

[0041] Coloring book content generation

[0042] The server automatically generates coloring-book-style learning content based on the simplified content. Coloring-book-style learning content is content provided as a coloring book that visually represents the learning content. Specifically, it generates related images based on simplified explanations and commentary, automatically extracts the outlines of those images, and converts them into a format suitable for coloring. This coloring book integrates learning elements and contains the knowledge and information to be learned.

[0043] Distribution of coloring book content

[0044] The server distributes the generated coloring content to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[0045] Terminal handling

[0046] Sending User Input

[0047] The terminal provides an interface for transmitting the original content input by the user to the server. The interface is an operation screen and an input device that the user uses to operate the system.

[0048] Receiving coloring content

[0049] The terminal receives the coloring content sent from the server, and is then ready to visually display the received coloring content.

[0050] Viewing the Interface

[0051] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[0052] User operations

[0053] Entering original content

[0054] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[0055] Use of coloring books

[0056] Users enjoy coloring by viewing the coloring content displayed on their device. While coloring, users (especially young children) naturally read and learn from simplified explanations. By coloring the pictures with their fingers or a stylus, they also acquire knowledge visually.

[0057] Specific examples

[0058] Example 1: Learning about animals

[0059] 1. User operations

[0060] A user enters the text "I want to learn information about lions."

[0061] 2. Server Processing

[0062] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[0063] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[0064] 3. Terminal Processing

[0065] The terminal receives the coloring content sent from the server and displays it on the screen.

[0066] 4. User Operation

[0067] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[0068] This system provides a learning environment that allows young children to acquire knowledge naturally while stimulating their interest.

[0069] The processing flow will be explained below.

[0070] Step 1:

[0071] The user uses an interface to input the information they want to learn and inputs the original content (text and images) into the device.

[0072] Step 2:

[0073] The terminal transmits the original content input by the user to the server.

[0074] Step 3:

[0075] The server receives the original content sent from the terminal.

[0076] Step 4:

[0077] The server inputs the received original content into a generative model and simplifies it for young children, converting complex words into simpler terms and complex sentences into simpler sentences.

[0078] Step 5:

[0079] The server generates relevant visual elements (images and illustrations) based on the simplified content.

[0080] Step 6:

[0081] The server extracts the outlines of the generated visual elements and automatically generates learning content in the form of a coloring book, with a simple explanation attached.

[0082] Step 7:

[0083] The server transmits the generated learning content in the form of a coloring book to the user's terminal.

[0084] Step 8:

[0085] The terminal receives the learning content in the form of a coloring book sent from the server and displays it on the screen.

[0086] Step 9:

[0087] The user (child) looks at the coloring book-style learning content displayed on the device and colors it using their finger or a stylus, progressing through the learning process in a natural way.

[0088] Example 1

[0089] 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."

[0090] Creating effective learning materials for young children is not easy. Currently, many learning materials contain language and complex content that is difficult for young children to understand, and appropriate simplification is required. Furthermore, visual elements are extremely important in capturing young children's interest, and information must be presented in an appealing format. Furthermore, a user-friendly interface that allows easy use of such materials is also required.

[0091] 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.

[0092] In this invention, the server includes a means for receiving original information provided by a user, a means for using a generative artificial intelligence model to simplify the original information for young children, and a means for automatically generating learning materials in the form of coloring books based on the simplified information, thereby making it possible to provide learning materials that are simple and visually appealing so that young children can learn with interest.

[0093] "User" refers to a person who uses this system.

[0094] "Original information" refers to data such as text and image files provided by users to create study materials.

[0095] A "generative artificial intelligence model" refers to a machine learning model that simplifies original information for young children.

[0096] "Simplification" refers to the process of changing difficult words into simpler ones or simplifying complex sentence structures.

[0097] "Coloring book-style learning materials" refers to learning content in the form of a coloring book that is automatically generated based on simplified information.

[0098] "Visual elements" refers to visual elements such as images, figures, and illustrations that complement text information and aid comprehension.

[0099] "Learning elements" refer to the knowledge and information to be learned, and the content contained in the coloring book-style learning materials.

[0100] An "information processing device" is a device that allows a user to use this system, such as a computer, smartphone, or tablet terminal.

[0101] An "input / output device" is a device that allows a user to input information or output results, such as a keyboard, mouse, or touch screen.

[0102] This invention is a system for providing knowledge to young children, and is realized by the cooperation of a server, a terminal, and a user. This system is specifically implemented in the following manner.

[0103] First, the user provides the original information they want to learn. This is done by using the device interface to input text or upload an image file. For example, the user might input, "I want to learn information about lions."

[0104] The device sends the original information entered to the server. This is done using an operation screen within a web application or mobile app. The device sends the information via an HTTP POST request, and the server receives it.

[0105] The server then simplifies the received original information using a generative AI model. The generative AI model used here uses a library that utilizes natural language processing (NLP) technology (e.g., OpenAI GPT-3). The server provides the model with prompts to convert the original information into a form that is easy for young children to understand.

[0106] For example, the original sentence "Lions are carnivores, not herbivores" is simplified to "Lions are animals that eat meat."

[0107] The server then generates learning materials in the form of a coloring book based on the simplified information. Here, an image generation library (e.g., OpenCV) is used to generate relevant images, extract their outlines, and convert them into a coloring book format. For example, based on the information about a lion, an image of a lion is generated, and its outline is extracted and converted into a coloring book.

[0108] The generated learning materials in the form of coloring books are delivered from the server to the device. The device visually displays the received coloring materials, allowing users to use them interactively. Specifically, a coloring image of a lion is displayed on the device, and children can color it using their fingers or a stylus.

[0109] Simplified explanations are displayed alongside the coloring pages, allowing young children to learn naturally. For example, the explanation might say, "Lions are large cats that live on grasslands. Male lions have manes."

[0110] This system provides a learning environment that allows young children to acquire knowledge naturally while stimulating their interest.

[0111] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0112] Step 1:

[0113] The user enters the original information using the device interface. For example, the user can enter the text "I want to learn about lions" or upload an image file of a lion. The interface provides text input fields and image upload functionality. The entered data is sent to the server via an HTTP POST request.

[0114] Step 2:

[0115] After receiving the original information provided by the user, the terminal sends it to the server through an HTTP request. The main role of the terminal is to properly forward the information provided by the user to the server. Specifically, it receives data including the user's text and images and sends them to the specified endpoint.

[0116] Step 3:

[0117] The server receives the original information sent from the device, including text content and image files. For example, the server receives the text entered by the user: "I want to learn about lions." The received data is temporarily stored in a database for use in the next processing step.

[0118] Step 4:

[0119] The server simplifies the received original information using a generative AI model. Specifically, a library that utilizes natural language processing (NLP) techniques (e.g., OpenAI GPT-3) is used. This model receives user-provided text as input and obtains simplified text as output. For example, the sentence "Lions are carnivores, not herbivores" is converted to "Lions are meat-eaters."

[0120] Step 5:

[0121] The server generates learning materials in the form of a coloring book based on the simplified text. This process uses an image generation library (e.g., OpenCV). Based on the simplified information, it generates a related image, extracts the outline of the image, and converts it into a coloring book format. For example, an image of a lion is generated and then processed into a coloring book format.

[0122] Step 6:

[0123] The server delivers the generated learning materials in coloring book format to the user's device. For this delivery, it sends the learning materials in coloring book format (e.g. PNG image file) to the device using an HTTP response. The received coloring book materials are visually displayed on the device.

[0124] Step 7:

[0125] The device receives learning materials in the form of coloring books from the server and displays them on the screen. The device then renders the received materials appropriately on the screen so that the user can use them interactively. Specifically, it displays a coloring book image of a lion, allowing the user to color it with their finger or a stylus.

[0126] Step 8:

[0127] Users can enjoy coloring learning materials displayed on their devices. While coloring, they can read and learn from the simplified explanations displayed. For example, while enjoying coloring a lion, they can understand the explanation that "lions are large cats that live on grasslands. Male lions have manes."

[0128] These steps allow users (especially young children) to acquire knowledge naturally while learning with interest.

[0129] (Application example 1)

[0130] 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."

[0131] Providing content that will pique young children's interest in learning is a challenge. Conventional learning systems have difficulty generating content that is appropriately simplified for young children, and lack interactive learning functions, making it difficult to keep young children's attention. Therefore, there is a need for a system that can automatically generate effective learning content that will allow young children to learn in a fun way and that can be used interactively via devices.

[0132] 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.

[0133] In this invention, the server includes a means for receiving original content provided by a user, a means for using a generation model to simplify the original content for young children, and a means for enabling interactive use of coloring-book-style learning content distributed to the terminal. This makes it possible to simplify the original content for young children, and then generate and distribute coloring-book-style learning content based on the simplified content. Furthermore, by interactively using the generated content, young children can learn effectively while having fun.

[0134] The "means for receiving original content provided by the user" is a mechanism for transmitting learning materials such as text and images entered by the user to the server.

[0135] "Means using generative models to simplify original content for young children" refers to a process that uses a generative AI model to convert difficult words and complex sentence structures into a form that is easy for young children to understand.

[0136] The "means for automatically generating learning content in the form of a coloring book based on simplified content" is a mechanism that uses simplified information to automatically generate educational content that can be used to learn in the form of a visual coloring book.

[0137] "Means for delivering automatically generated learning content in the form of a coloring book to a user's device" refers to the process of sending the generated educational content in the form of a coloring book to a device such as a user's smartphone or tablet.

[0138] "Means for transmitting content entered by the user to the server" refers to the interface or protocol that transmits the learning content desired by the user from the terminal to the server.

[0139] "Means for enabling interactive use of coloring book-style educational content delivered to a terminal" refers to an interface that allows a user to operate and interactively use coloring book-style educational content on a terminal.

[0140] "Means for generating simplified text, generating images based on the simplified text, and extracting the outlines of the images" refers to the process of using a generative AI model to create related images from simplified text, and then extracting the outlines of the images in a format that can be used as a coloring book.

[0141] "Means for adding visual elements" refers to techniques for adding visual elements such as images and figures to learning content to complement understanding.

[0142] "Means of integrating learning elements" refers to the process of incorporating specific learning points and information into the generated coloring book content.

[0143] "Means for providing an interface that makes it easy for users to input original content" refers to an operation screen or input device designed to allow users to intuitively input text and images.

[0144] The "means for displaying an interface that allows the user to use learning content in the form of a coloring book" refers to a screen or interface that displays the generated coloring book content so that the user can operate it while viewing it.

[0145] The "means for generating prompts to generate simplified content" is the process of creating appropriate prompts to input into a generative AI model to convert the original content into a content suitable for young children.

[0146] This invention is a system that automatically generates learning content for young children and provides it to users. The overall process is carried out in cooperation with three main elements: a server, a terminal, and a user.

[0147] Server Processing

[0148] Receiving input

[0149] The server receives the original content sent by the user from the device. This original content is material such as text or image files containing information to be learned.

[0150] Simplifying content

[0151] The server uses a generative AI model to simplify the received original content for young children. The generative AI model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it replaces difficult words with simpler terms and converts complex sentence structures into simpler sentences. It also generates visual elements as needed. For example, it uses prompt sentences like the following:

[0152] TXT

[0153] Please simplify the following sentences for young children:

[0154] Lions are big cats that live in grasslands. Male lions have manes.

[0155] Coloring book content generation

[0156] The server automatically generates learning content in the form of a coloring book based on the simplified content. This coloring content generates outline images that visually represent the learning content, allowing young children to learn while coloring them in.

[0157] Distribution of coloring book content

[0158] The server distributes the generated learning content in the form of a coloring book to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[0159] Terminal handling

[0160] Sending User Input

[0161] The terminal provides an interface for transmitting the original content entered by the user to the server.

[0162] Receiving coloring content

[0163] The terminal receives the coloring content sent from the server and prepares to display it.

[0164] Viewing the Interface

[0165] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[0166] User operations

[0167] Entering original content

[0168] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[0169] Use of coloring books

[0170] Users can enjoy coloring while viewing the coloring content displayed on the device. This allows young children to naturally understand the learning content and learn with interest. Specifically, for example, they can enjoy coloring a lion based on simplified text such as, "Lions are large cats that live on grasslands. Male lions have manes."

[0171] Hardware and software used

[0172] Hardware: smartphones, tablets, servers

[0173] Software: Android / iOS apps, server-side scripts (Python, Node.js, etc.), machine learning libraries (TensorFlow, PyTorch, etc.)

[0174] The system configured in this way allows young children to learn in a fun and effective way.

[0175] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0176] Step 1:

[0177] The user uses the device to input original content, which may include text or image files containing information the child wants to learn. The input data is collected through a user interface (e.g., text boxes and image upload buttons).

[0178] Step 2:

[0179] The device sends the original content entered by the user to the server. The entered text or image file is sent through an API endpoint that allows the server to receive the data appropriately. When sent, the input data is converted into an appropriate format (e.g., JSON format).

[0180] Step 3:

[0181] The server receives the original content sent by the user. The received data is pre-processed (e.g., text cleaning and filtering) to feed into a generative AI model. The input here is the original content, and the output is the pre-processed content.

[0182] Step 4:

[0183] The server uses a generative AI model to simplify the original content. Specifically, it inputs a prompt sentence into the generative AI model to convert the received sentence or image into a simple representation. An example of a prompt sentence is as follows:

[0184] TXT

[0185] Please simplify the following sentences for young children:

[0186] Lions are big cats that live in grasslands. Male lions have manes.

[0187] The generative AI model outputs simplified text based on this prompt. The input is the preprocessed content, and the output is the simplified content.

[0188] Step 5:

[0189] The server generates images based on the simplified text and extracts their outlines. The generated images are converted into coloring book format and provided as visual learning elements. The input is the simplified text, and the output is a coloring book format image.

[0190] Step 6:

[0191] The server delivers the generated learning content in the form of a coloring book to the user's device. The generated content is converted into an appropriate format (e.g., image file or PDF) and sent to the user's device.

[0192] Step 7:

[0193] The device receives the coloring content sent from the server and displays it so that the user can use it interactively. The received data is displayed on the screen, and the child can color it using their finger or a stylus.

[0194] Step 8:

[0195] Users can enjoy coloring and learning through the coloring content displayed on their device. They can perform interactive operations through the interface. Specifically, by selecting colors and shapes based on the learning content and completing the coloring, they can naturally absorb knowledge.

[0196] 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.

[0197] This invention is a knowledge provision system for young children, which has a mechanism in which a server, a terminal, a user, and an emotion engine work together. This system is implemented in the following way.

[0198] Server Processing

[0199] Receiving input

[0200] The server receives the original content sent by the user from the device. This content is material such as text and image files containing the information to be learned.

[0201] Simplifying content

[0202] The server uses a generative model to simplify the received original content for young children. A generative model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it converts difficult words into simpler terms and complex sentences into simpler sentences. It also generates visual elements as needed. Visual elements are images, shapes, illustrations, and other visual elements that complement text information and aid understanding.

[0203] Coloring book content generation

[0204] The server automatically generates coloring-book-style learning content based on the simplified content. Coloring-book-style learning content is content provided as a coloring book that visually represents the learning content. Specifically, it generates related images based on simplified explanations and commentary, automatically extracts the outlines of those images, and converts them into a format suitable for coloring. This coloring book integrates learning elements and contains the knowledge and information to be learned.

[0205] Distribution of coloring book content

[0206] The server distributes the generated coloring content to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[0207] Emotion engine processing

[0208] User Emotion Recognition

[0209] The emotion engine analyzes the user's facial expressions, tone of voice, etc. to recognize the user's emotions in real time. The emotion engine uses input devices such as a camera and microphone.

[0210] Adjusting content based on emotions

[0211] The emotion engine uses the emotional data it recognizes to adjust the content and difficulty of the learning content, for example, adding more engaging images or easier questions if the user is bored.

[0212] Recording and analyzing emotional data

[0213] The emotion engine records the user's emotion data and sends it to the server for use in later improving and personalizing learning content.

[0214] Terminal handling

[0215] Sending User Input

[0216] The terminal provides an interface for transmitting the original content input by the user to the server. The interface is an operation screen and an input device that the user uses to operate the system.

[0217] Receiving coloring content

[0218] The terminal receives the coloring content sent from the server, and is then ready to visually display the received coloring content.

[0219] Emotion engine data transmission

[0220] The device transmits emotion data from the emotion engine to the server, and also reflects the output of the emotion engine in real time on the server.

[0221] Viewing the Interface

[0222] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[0223] User operations

[0224] Entering original content

[0225] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[0226] Use of coloring books

[0227] Users enjoy coloring by viewing the coloring content displayed on their device. While coloring, users (especially young children) naturally read and learn from simplified explanations. By coloring the pictures with their fingers or a stylus, they also acquire knowledge visually.

[0228] Specific examples

[0229] Example 1: Learning about animals

[0230] 1. User operations

[0231] A user enters the text "I want to learn information about lions."

[0232] 2. Server Processing

[0233] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[0234] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[0235] 3. Emotion Engine Processing

[0236] The emotion engine recognizes whether a child is having fun from their facial expressions and voice.

[0237] If the emotion engine detects that the child is bored, the server adds more interesting information and images.

[0238] 4. Terminal Processing

[0239] The terminal receives the coloring content sent from the server and displays it on the screen.

[0240] 5. User Operations

[0241] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[0242] The system provides a learning environment that helps young children acquire knowledge naturally while keeping them interested, and its emotional engine monitors children's reactions in real time to optimize learning content.

[0243] The processing flow will be explained below.

[0244] Step 1:

[0245] Users input the information they want to learn through the device interface, and this original content includes text and images.

[0246] Step 2:

[0247] The terminal transmits the original content input by the user to the server.

[0248] Step 3:

[0249] The server receives the original content sent from the terminal.

[0250] Step 4:

[0251] The server inputs the received original content into a generative model and simplifies it for young children, converting complex words into simpler terms and complex sentences into simpler sentences.

[0252] Step 5:

[0253] The server generates relevant visual elements (images and illustrations) based on the simplified content. Visual elements include images, figures, and illustrations that complement the text information and aid comprehension.

[0254] Step 6:

[0255] The server extracts the outlines of the generated visual elements and automatically generates learning content in the form of a coloring book, with a simple explanation attached.

[0256] Step 7:

[0257] The server creates learning content in the form of a coloring book that integrates learning elements based on the simplified content and visual elements.

[0258] Step 8:

[0259] The server distributes the generated learning content in the form of a coloring book to the user's terminal.

[0260] Step 9:

[0261] The terminal receives the learning content in the form of a coloring book sent from the server and displays it on the screen.

[0262] Step 10:

[0263] Users (children) can enjoy coloring while viewing learning content in the form of coloring books displayed on the device. By coloring the pictures with their fingers or a stylus, they can also learn knowledge visually.

[0264] Step 11:

[0265] The emotion engine analyzes the user's facial expressions and tone of voice through a camera and microphone to recognize the user's emotions.

[0266] Step 12:

[0267] The emotion engine analyzes the user's emotion data in real time and transmits the information to the server.

[0268] Step 13:

[0269] The server adjusts the content and difficulty of the learning content based on the emotion data received from the emotion engine. For example, if the user is bored, it adds more attractive images or easier questions.

[0270] Step 14:

[0271] The server transmits the updated study content again to the user's terminal.

[0272] Step 15:

[0273] The terminal redisplays the updated learning content on the screen, allowing the user to continue using it interactively.

[0274] Step 16:

[0275] The emotion engine continues to monitor the user's emotions and sends new emotion data to the server as needed.

[0276] To give a specific example, in a scenario where "information about lions" is input as learning content, the process proceeds as follows:

[0277] Example: Animal learning

[0278] 1. Step 1: User enters text "I want to learn information about lions."

[0279] 2. Steps 3-6: The server simplifies the text, adds visual elements, and generates learning content in the form of a coloring book.

[0280] 3. Step 8: The server sends the generated content to the terminal.

[0281] 4. Step 10: The user (child) learns while enjoying coloring on the device.

[0282] 5. Steps 11-14: The emotion engine recognizes the user's emotions, and the server adjusts the learning content accordingly.

[0283] The system provides a learning environment that engages young children and allows them to acquire knowledge naturally, and its emotional engine monitors children's reactions in real time to optimize learning content.

[0284] Example 2

[0285] 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."

[0286] Conventional educational systems for young children have the problem that the level of difficulty and the way the information is presented is often inappropriate for children, making it easy for children to lose interest in learning. In addition, it is not possible to adjust the content in real time according to the emotions of each user, making it difficult to provide effective learning support.

[0287] 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.

[0288] In this invention, the server includes a means for receiving original information provided by a user, a means for using a generative model to simplify the original information for young children, and a means for automatically generating educational content in the form of a coloring book based on the simplified information. This allows for the provision of educational content at a level of difficulty appropriate for young children, enabling children to continue learning while maintaining their interest. Furthermore, by analyzing the user's facial expressions and voice using an emotion engine, the content and difficulty level of the content can be adjusted in real time, maximizing the learning effect for each child.

[0289] "Original information" refers to learning materials such as text, images, and audio provided by the user.

[0290] A "generative model" is a machine learning model that analyzes original information and converts it into a simpler, more understandable representation.

[0291] "Simplification" refers to converting complex words and expressions into simpler forms that even young children can understand.

[0292] "Coloring book-style educational content" is content that is in the form of a coloring book created based on learning materials, allowing children to learn while coloring.

[0293] A "device" is an electronic device that a user uses to enter information or display received content.

[0294] "Visual elements" are images, figures, illustrations, and other visual elements that complement text information and aid comprehension.

[0295] "Learning components" are elements of knowledge or information that are integrated into educational content.

[0296] An "interface" is an operation screen or input device that allows a user to operate the system.

[0297] An "emotion engine" is a program or system that analyzes a user's facial expressions and voice to recognize their emotions.

[0298] "Real time" refers to the time attribute in which processing is performed immediately and the results are reflected immediately.

[0299] This invention is a knowledge provision system for young children, which provides an environment in which young children can learn in a fun and effective way by having a server, terminals, users, and an emotion engine work together.

[0300] Hardware and Software Configuration

[0301] The servers are responsible for data processing and content generation. They are equipped with high-performance CPUs and GPUs, providing the computing power to process large amounts of data at high speed. They also have software installed to run generative AI models (such as GPT-3).

[0302] A terminal is a device operated by a user, and includes PCs, tablets, smartphones, etc. Terminals are equipped with internet connectivity and input devices such as cameras and microphones, allowing users to input content and display received educational content.

[0303] The emotion engine is a program that analyzes the user's facial expressions and voice to acquire emotional data. It analyzes data acquired from the camera and microphone and recognizes the user's emotions, such as whether they are enjoying themselves or feeling bored, in real time.

[0304] Data processing and calculation

[0305] The user inputs the information they want to learn through the device interface. For example, they might input "I want to learn information about lions" in text format.

[0306] The server receives the original information sent by the user. This information is then analyzed using a generative AI model. The generative model simplifies complex words and sentences for young children, converting them into simple, easy-to-understand expressions. This process generates sentences such as, "Lions are large cats that live on grasslands. Male lions have manes."

[0307] Based on the simplified information, the server automatically generates educational content in the form of a coloring book. Specifically, it extracts the outline of the generated lion illustration and generates an image file for coloring. This image file depicts the lion's characteristics as visual elements.

[0308] The generated coloring content is sent from the server to the device in real time. The device receives this content and displays it on the screen. Users (especially young children) can enjoy coloring the displayed coloring page while learning about lions.

[0309] The emotion engine analyzes the user's facial expressions and tone of voice to recognize emotions in real time. For example, if the server detects that the user is bored, it will incorporate more interesting information or additional visual elements into the content. This emotion data is sent to the server and reflected in the next content generation.

[0310] Use concrete examples and prompts

[0311] The operation of this system is explained using the following example.

[0312] Example 1: Learning about animals

[0313] 1. User operations

[0314] A user enters the following text: "I want to learn about lions. Please create a simple and easy to understand explanation and a lion coloring page."

[0315] 2. Server Processing

[0316] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[0317] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[0318] 3. Emotion Engine Processing

[0319] The emotion engine recognizes whether a child is having fun from their facial expressions and voice.

[0320] If the emotion engine detects that the child is bored, the server adds more interesting information and images.

[0321] 4. Terminal Processing

[0322] The terminal receives the coloring content sent from the server and displays it on the screen.

[0323] 5. User Operations

[0324] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[0325] In this way, children can acquire knowledge naturally while being interested in the system.The emotion engine also monitors the user's reactions in real time and optimizes the learning content.

[0326] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0327] Step 1:

[0328] The user uses the device to input the information they want to learn. For example, they might input "I want to learn about lions" in text format. This input data is sent to the server as a prompt based on the user's intention.

[0329] Input: Text data entered by the user: "I want to learn about lions."

[0330] Output: Sends the prompt to the server.

[0331] Step 2:

[0332] The server processes the prompt received from the user and analyzes it using a generative AI model. Specifically, based on the prompt "I want to learn about lions," it generates relevant information. In this process, complex expressions and words are simplified.

[0333] Input: The prompt text sent by the user.

[0334] Data processing: Analysis of prompts and generation of information using a generative AI model.

[0335] Output: A simplified sentence such as "Lions are big cats that live in grasslands. Male lions have manes."

[0336] Step 3:

[0337] The server automatically generates educational content in the form of a coloring book based on the simplified text. The coloring content includes an outline of the lion's body and its characteristic mane. This image data is then converted into a format that can be displayed on the device.

[0338] Input: Simplified text.

[0339] Data calculation: Generate images and extract outlines to generate coloring book format image files.

[0340] Output: Coloring book format image file.

[0341] Step 4:

[0342] The server delivers the generated coloring content to the user's device in real time. This data is transmitted over the Internet and reaches the user's device.

[0343] Input: Coloring book format image file.

[0344] Output: Sending the coloring content to the user's device.

[0345] Step 5:

[0346] The device receives the coloring content sent from the server, and the received data is displayed on the device screen, ready for the user to use interactively.

[0347] Input: Coloring book content sent from the server.

[0348] Output: Screen display of coloring book content.

[0349] Step 6:

[0350] The emotion engine uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time to recognize emotional data. Based on this data, the server adjusts the content and difficulty of the educational content.

[0351] Input: User facial and voice data obtained from the camera and microphone.

[0352] Data computation: Analysis with emotion recognition algorithms.

[0353] Output: Emotion data.

[0354] Step 7:

[0355] The server receives the emotion data sent from the emotion engine and adjusts the educational content according to the user's emotion, for example, adding more interesting information if the user is bored.

[0356] Input: Emotion data sent from the emotion engine.

[0357] Data processing: Adjustment of educational content.

[0358] Output: Adjusted educational content.

[0359] Step 8:

[0360] The device receives the adjusted educational content and provides it to the user, who can then continue coloring based on the new information.

[0361] Input: Adjusted educational content.

[0362] Output: The adjusted coloring book content is displayed on the screen and the user can interact with it.

[0363] (Application example 2)

[0364] 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."

[0365] Educational content for young children is often difficult to understand, and it is difficult to attract their attention. Providing content that engages young children and allows them to learn is particularly important in educational settings and at home, but it is extremely difficult to tailor content to each child's emotions and interests. Furthermore, there is a need for technology that can analyze emotions in real time and optimize content appropriately while providing interactive content.

[0366] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0367] In this invention, the server includes means for receiving original content provided by a user, means for using a generative model to simplify the original content for young children, and means for automatically generating coloring-book-style learning content based on the simplified content. This makes it possible to provide content that is easy for young children to understand and that they can learn with interest. The server also includes means for delivering the automatically generated coloring-book-style learning content to a user's device, means for the device to recognize the user's emotions in real time using a camera and microphone and use an emotion engine to adjust the learning content based on that information, and means for providing an interface that allows the user to interactively use the coloring-book-style learning content via a touchscreen. This allows young children to learn while having fun, providing an optimal learning experience based on their individual emotions and interests.

[0368] "Means for receiving original content provided by the user" refers to a mechanism by which the server receives data such as text and image files entered by the user.

[0369] "Means using generative models to simplify original content for young children" refers to a system that uses machine learning models to convert complex sentences and difficult words into simple expressions that even young children can understand.

[0370] "Means for automatically generating learning content in the form of a coloring book based on simplified content" refers to a mechanism for creating visual teaching materials provided as coloring books based on text information converted into simple expressions.

[0371] "Means for delivering automatically generated learning content in the form of coloring books to users' devices" refers to a system in which coloring book content created by a server is sent via the Internet to devices such as tablets and PCs used by users.

[0372] "The device uses a camera and microphone to recognize the user's emotions in real time, and an emotion engine that adjusts the learning content based on that information" refers to a mechanism that uses the camera and microphone built into the device to analyze the user's facial expressions and tone of voice, and changes the learning content according to the user's emotional state.

[0373] "Means for providing an interface that allows users to interactively use coloring-style learning content via a touchscreen" refers to a system that uses a touchscreen on a tablet or smartphone to display an operation screen that allows users to learn while enjoying coloring.

[0374] This invention is a system that simplifies original content provided by users to make it easier for young children to use, and generates and distributes interactive coloring books. This system is implemented through the mutual cooperation of a server, terminals, an emotion engine, and users.

[0375] Server Processing

[0376] Receiving and facilitating content

[0377] The server receives the original content provided by the user, which may be text or image files containing information that the child is to learn.

[0378] After receiving the original content, the server uses a generative AI model (e.g., GPT-4) to simplify the content for young children, converting complex words into simpler terms, complex sentences into simpler sentences, and generating visual elements to complement the text information.

[0379] For example, if a user enters "information about lions," the server simplifies it to "lions are large cats that live in grasslands. Male lions have manes."

[0380] Coloring book content generation

[0381] The server generates related images based on the simplified content, extracts the outlines of those images, and creates learning content in the form of a coloring book. This automatically generates coloring books based on simplified explanations and commentary.

[0382] Distribution of coloring book content

[0383] The generated coloring content is delivered to the user's device, allowing the user's device to receive coloring content suitable for learning.

[0384] Emotion engine processing

[0385] Emotion Recognition and Content Adjustment

[0386] The emotion engine analyzes the user's facial expressions and tone of voice via a camera and microphone, recognizing their emotions in real time. Based on the recognized emotional data, it has the ability to adjust the content and difficulty of the learning content.

[0387] For example, if the emotion engine detects that a child is bored, the server will add more interesting information and images, providing an optimal learning experience tailored to each individual user's emotions.

[0388] Terminal handling

[0389] View content and learn interactively

[0390] The terminal displays the coloring content received from the server and provides an interface that allows users to use it interactively via a touch screen, allowing children to learn while having fun coloring.

[0391] The device also transmits emotion engine data to the server in real time, further personalizing the learning experience on the device.

[0392] Specific examples and prompts

[0393] Specific examples

[0394] When a user types "I want to learn information about lions," the server uses a generative AI model (e.g., GPT-4) to generate a simple description such as "Lions are big cats that live in grasslands. Male lions have manes."

[0395] The system then extracts the outline of a related image (e.g., a picture of a lion) and provides it as a coloring book. Children can enjoy coloring this book on their tablet device while learning. The device's built-in emotion engine also analyzes the child's reactions in real time and continues to provide the most appropriate content.

[0396] Prompt Sentence Examples

[0397] "Easily adapt the following content for young children:

[0398] Lions live in the grasslands and males have manes."

[0399] This system provides an environment where young children can acquire knowledge while having fun. Growth and learning progress is managed appropriately in real time, and content is optimized based on the user's emotions, resulting in a more effective learning experience.

[0400] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0401] Step 1:

[0402] Entering and receiving user-original content

[0403] The user inputs the original content they want to learn using their device. The original content can be text or image files. The device then sends this original content to the server. The server receives the original content provided by the user as input and records the data.

[0404] Specific actions

[0405] The user enters text into the input field.

[0406] The terminal transmits the input text data to the server.

[0407] The server receives the original content and stores it in a database.

[0408] Step 2:

[0409] Simplifying content

[0410] The server then uses a generative AI model (e.g., GPT-4) to simplify the received original content for young children. This is the process where the original content is input and the generative AI model outputs text that has been converted into simple language.

[0411] Specific actions

[0412] The server passes the received content to the generative AI model.

[0413] The generative AI model is fed a prompt in the form of "Please convert the following content into something suitable for young children."

[0414] A generative AI model (e.g., GPT-4) generates simplified content and returns it to the server.

[0415] Store the simplified content in a database.

[0416] Step 3:

[0417] Coloring book content generation

[0418] The server generates related images based on the simplified content and extracts the outlines of those images, generating learning content in the form of a coloring book. This process takes the simplified text and related images as input and outputs an outline image of the coloring book.

[0419] Specific actions

[0420] The server loads the simplified content and generates the relevant images.

[0421] Extract the outline of the image using an image processing library such as OpenCV.

[0422] The extracted outline images are converted into coloring book format and stored in a database.

[0423] Step 4:

[0424] Distribution of coloring book content

[0425] The server delivers the generated coloring book content to the user's terminal. In this step, the generated coloring book content is input, transmitted to the user's terminal, and received by the terminal is the output.

[0426] Specific actions

[0427] The server loads the generated coloring book content.

[0428] Coloring content is sent to the user's device via the network.

[0429] The device receives the coloring content and prepares it for display.

[0430] Step 5:

[0431] Emotion Recognition and Content Adjustment

[0432] Using the device's built-in camera and microphone, the emotion engine analyzes the user's facial expressions and voice to obtain emotional data in real time. Based on this emotional data, the server adjusts the content and difficulty of the learning content.

[0433] Specific actions

[0434] The device's camera captures the user's facial expression and the microphone records their voice.

[0435] The emotion engine analyzes this data and estimates the emotional state.

[0436] The estimated emotion data is sent to the server, which then adjusts the learning content.

[0437] The content will be rebalanced and the updated coloring content will be redistributed to your device.

[0438] Step 6:

[0439] Interactive learning experience

[0440] Users can enjoy coloring content while learning through the device's touchscreen, which reflects the user's actions in real time and receives feedback from the emotion engine.

[0441] Specific actions

[0442] The device displays the coloring content, and the user begins coloring on the touch screen.

[0443] The area where the user touches can be colored.

[0444] The user's reactions and actions are fed back to the emotion engine in real time.

[0445] If necessary, the server optimizes the content again and sends updated data to the terminal.

[0446] This series of processes creates an interactive educational environment that engages young children and allows them to learn in a fun and engaging way.

[0447] 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.

[0448] 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.

[0449] 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.

[0450] [Second embodiment]

[0451] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0452] 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.

[0453] 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).

[0454] 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.

[0455] 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.

[0456] 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).

[0457] 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.

[0458] 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.

[0459] 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.

[0460] 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.

[0461] 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.

[0462] 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."

[0463] This invention is a knowledge provision system for young children, which has a mechanism in which a server, a terminal, and a user work together. This system is implemented in the following way.

[0464] Server Processing

[0465] Receiving input

[0466] The server receives the original content sent by the user from the device. This content is material such as text and image files containing the information to be learned.

[0467] Simplifying content

[0468] The server uses a generative model to simplify the original content it receives for young children. A generative model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it replaces difficult words with simpler terms and converts complex sentence structures into simpler sentences. It also generates visual elements as needed. Visual elements are images, shapes, illustrations, and other visual elements that complement text information and aid understanding.

[0469] Coloring book content generation

[0470] The server automatically generates coloring-book-style learning content based on the simplified content. Coloring-book-style learning content is content provided as a coloring book that visually represents the learning content. Specifically, it generates related images based on simplified explanations and commentary, automatically extracts the outlines of those images, and converts them into a format suitable for coloring. This coloring book integrates learning elements and contains the knowledge and information to be learned.

[0471] Distribution of coloring book content

[0472] The server distributes the generated coloring content to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[0473] Terminal handling

[0474] Sending User Input

[0475] The terminal provides an interface for transmitting the original content input by the user to the server. The interface is an operation screen and an input device that the user uses to operate the system.

[0476] Receiving coloring content

[0477] The terminal receives the coloring content sent from the server, and is then ready to visually display the received coloring content.

[0478] Viewing the Interface

[0479] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[0480] User operations

[0481] Entering original content

[0482] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[0483] Use of coloring books

[0484] Users enjoy coloring by viewing the coloring content displayed on their device. While coloring, users (especially young children) naturally read and learn from simplified explanations. By coloring the pictures with their fingers or a stylus, they also acquire knowledge visually.

[0485] Specific examples

[0486] Example 1: Learning about animals

[0487] 1. User operations

[0488] A user enters the text "I want to learn information about lions."

[0489] 2. Server Processing

[0490] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[0491] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[0492] 3. Terminal Processing

[0493] The terminal receives the coloring content sent from the server and displays it on the screen.

[0494] 4. User Operation

[0495] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[0496] This system provides a learning environment that allows young children to acquire knowledge naturally while stimulating their interest.

[0497] The processing flow will be explained below.

[0498] Step 1:

[0499] The user uses an interface to input the information they want to learn and inputs the original content (text and images) into the device.

[0500] Step 2:

[0501] The terminal transmits the original content input by the user to the server.

[0502] Step 3:

[0503] The server receives the original content sent from the terminal.

[0504] Step 4:

[0505] The server inputs the received original content into a generative model and simplifies it for young children, converting complex words into simpler terms and complex sentences into simpler sentences.

[0506] Step 5:

[0507] The server generates relevant visual elements (images and illustrations) based on the simplified content.

[0508] Step 6:

[0509] The server extracts the outlines of the generated visual elements and automatically generates learning content in the form of a coloring book, with a simple explanation attached.

[0510] Step 7:

[0511] The server transmits the generated learning content in the form of a coloring book to the user's terminal.

[0512] Step 8:

[0513] The terminal receives the learning content in the form of a coloring book sent from the server and displays it on the screen.

[0514] Step 9:

[0515] The user (child) looks at the coloring book-style learning content displayed on the device and colors it using their finger or a stylus, progressing through the learning process in a natural way.

[0516] Example 1

[0517] 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."

[0518] Creating effective learning materials for young children is not easy. Currently, many learning materials contain language and complex content that is difficult for young children to understand, and appropriate simplification is required. Furthermore, visual elements are extremely important in capturing young children's interest, and information must be presented in an appealing format. Furthermore, a user-friendly interface that allows easy use of such materials is also required.

[0519] 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.

[0520] In this invention, the server includes a means for receiving original information provided by a user, a means for using a generative artificial intelligence model to simplify the original information for young children, and a means for automatically generating learning materials in the form of coloring books based on the simplified information, thereby making it possible to provide learning materials that are simple and visually appealing so that young children can learn with interest.

[0521] "User" refers to a person who uses this system.

[0522] "Original information" refers to data such as text and image files provided by users to create study materials.

[0523] A "generative artificial intelligence model" refers to a machine learning model that simplifies original information for young children.

[0524] "Simplification" refers to the process of changing difficult words into simpler ones or simplifying complex sentence structures.

[0525] "Coloring book-style learning materials" refers to learning content in the form of a coloring book that is automatically generated based on simplified information.

[0526] "Visual elements" refers to visual elements such as images, figures, and illustrations that complement text information and aid comprehension.

[0527] "Learning elements" refer to the knowledge and information to be learned, and the content contained in the coloring book-style learning materials.

[0528] An "information processing device" is a device that allows a user to use this system, such as a computer, smartphone, or tablet terminal.

[0529] An "input / output device" is a device that allows a user to input information or output results, such as a keyboard, mouse, or touch screen.

[0530] This invention is a system for providing knowledge to young children, and is realized by the cooperation of a server, a terminal, and a user. This system is specifically implemented in the following manner.

[0531] First, the user provides the original information they want to learn. This is done by using the device interface to input text or upload an image file. For example, the user might input, "I want to learn information about lions."

[0532] The device sends the original information entered to the server. This is done using an operation screen within a web application or mobile app. The device sends the information via an HTTP POST request, and the server receives it.

[0533] The server then simplifies the received original information using a generative AI model. The generative AI model used here uses a library that utilizes natural language processing (NLP) technology (e.g., OpenAI GPT-3). The server provides the model with prompts to convert the original information into a form that is easy for young children to understand.

[0534] For example, the original sentence "Lions are carnivores, not herbivores" is simplified to "Lions are animals that eat meat."

[0535] The server then generates learning materials in the form of a coloring book based on the simplified information. Here, an image generation library (e.g., OpenCV) is used to generate relevant images, extract their outlines, and convert them into a coloring book format. For example, based on the information about a lion, an image of a lion is generated, and its outline is extracted and converted into a coloring book.

[0536] The generated learning materials in the form of coloring books are delivered from the server to the device. The device visually displays the received coloring materials, allowing users to use them interactively. Specifically, a coloring image of a lion is displayed on the device, and children can color it using their fingers or a stylus.

[0537] Simplified explanations are displayed alongside the coloring pages, allowing young children to learn naturally. For example, the explanation might say, "Lions are large cats that live on grasslands. Male lions have manes."

[0538] This system provides a learning environment that allows young children to acquire knowledge naturally while stimulating their interest.

[0539] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0540] Step 1:

[0541] The user enters the original information using the device interface. For example, the user can enter the text "I want to learn about lions" or upload an image file of a lion. The interface provides text input fields and image upload functionality. The entered data is sent to the server via an HTTP POST request.

[0542] Step 2:

[0543] After receiving the original information provided by the user, the terminal sends it to the server through an HTTP request. The main role of the terminal is to properly forward the information provided by the user to the server. Specifically, it receives data including the user's text and images and sends them to the specified endpoint.

[0544] Step 3:

[0545] The server receives the original information sent from the device, including text content and image files. For example, the server receives the text entered by the user: "I want to learn about lions." The received data is temporarily stored in a database for use in the next processing step.

[0546] Step 4:

[0547] The server simplifies the received original information using a generative AI model. Specifically, a library that utilizes natural language processing (NLP) techniques (e.g., OpenAI GPT-3) is used. This model receives user-provided text as input and obtains simplified text as output. For example, the sentence "Lions are carnivores, not herbivores" is converted to "Lions are meat-eaters."

[0548] Step 5:

[0549] The server generates learning materials in the form of a coloring book based on the simplified text. This process uses an image generation library (e.g., OpenCV). Based on the simplified information, it generates a related image, extracts the outline of the image, and converts it into a coloring book format. For example, an image of a lion is generated and then processed into a coloring book format.

[0550] Step 6:

[0551] The server delivers the generated learning materials in coloring book format to the user's device. For this delivery, it sends the learning materials in coloring book format (e.g. PNG image file) to the device using an HTTP response. The received coloring book materials are visually displayed on the device.

[0552] Step 7:

[0553] The device receives learning materials in the form of coloring books from the server and displays them on the screen. The device then renders the received materials appropriately on the screen so that the user can use them interactively. Specifically, it displays a coloring book image of a lion, allowing the user to color it with their finger or a stylus.

[0554] Step 8:

[0555] Users can enjoy coloring learning materials displayed on their devices. While coloring, they can read and learn from the simplified explanations displayed. For example, while enjoying coloring a lion, they can understand the explanation that "lions are large cats that live on grasslands. Male lions have manes."

[0556] These steps allow users (especially young children) to acquire knowledge naturally while learning with interest.

[0557] (Application example 1)

[0558] 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."

[0559] Providing content that will pique young children's interest in learning is a challenge. Conventional learning systems have difficulty generating content that is appropriately simplified for young children, and lack interactive learning functions, making it difficult to keep young children's attention. Therefore, there is a need for a system that can automatically generate effective learning content that will allow young children to learn in a fun way and that can be used interactively via devices.

[0560] 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.

[0561] In this invention, the server includes a means for receiving original content provided by a user, a means for using a generation model to simplify the original content for young children, and a means for enabling interactive use of coloring-book-style learning content distributed to the terminal. This makes it possible to simplify the original content for young children, and then generate and distribute coloring-book-style learning content based on the simplified content. Furthermore, by interactively using the generated content, young children can learn effectively while having fun.

[0562] The "means for receiving original content provided by the user" is a mechanism for transmitting learning materials such as text and images entered by the user to the server.

[0563] "Means using generative models to simplify original content for young children" refers to a process that uses a generative AI model to convert difficult words and complex sentence structures into a form that is easy for young children to understand.

[0564] The "means for automatically generating learning content in the form of a coloring book based on simplified content" is a mechanism that uses simplified information to automatically generate educational content that can be used to learn in the form of a visual coloring book.

[0565] "Means for delivering automatically generated learning content in the form of a coloring book to a user's device" refers to the process of sending the generated educational content in the form of a coloring book to a device such as a user's smartphone or tablet.

[0566] "Means for transmitting content entered by the user to the server" refers to the interface or protocol that transmits the learning content desired by the user from the terminal to the server.

[0567] "Means for enabling interactive use of coloring book-style educational content delivered to a terminal" refers to an interface that allows a user to operate and interactively use coloring book-style educational content on a terminal.

[0568] "Means for generating simplified text, generating images based on the simplified text, and extracting the outlines of the images" refers to the process of using a generative AI model to create related images from simplified text, and then extracting the outlines of the images in a format that can be used as a coloring book.

[0569] "Means for adding visual elements" refers to techniques for adding visual elements such as images and figures to learning content to complement understanding.

[0570] "Means of integrating learning elements" refers to the process of incorporating specific learning points and information into the generated coloring book content.

[0571] "Means for providing an interface that makes it easy for users to input original content" refers to an operation screen or input device designed to allow users to intuitively input text and images.

[0572] The "means for displaying an interface that allows the user to use learning content in the form of a coloring book" refers to a screen or interface that displays the generated coloring book content so that the user can operate it while viewing it.

[0573] The "means for generating prompts to generate simplified content" is the process of creating appropriate prompts to input into a generative AI model to convert the original content into a content suitable for young children.

[0574] This invention is a system that automatically generates learning content for young children and provides it to users. The overall process is carried out in cooperation with three main elements: a server, a terminal, and a user.

[0575] Server Processing

[0576] Receiving input

[0577] The server receives the original content sent by the user from the device. This original content is material such as text or image files containing information to be learned.

[0578] Simplifying content

[0579] The server uses a generative AI model to simplify the received original content for young children. The generative AI model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it replaces difficult words with simpler terms and converts complex sentence structures into simpler sentences. It also generates visual elements as needed. For example, it uses prompt sentences like the following:

[0580] TXT

[0581] Please simplify the following sentences for young children:

[0582] Lions are big cats that live in grasslands. Male lions have manes.

[0583] Coloring book content generation

[0584] The server automatically generates learning content in the form of a coloring book based on the simplified content. This coloring content generates outline images that visually represent the learning content, allowing young children to learn while coloring them in.

[0585] Distribution of coloring book content

[0586] The server distributes the generated learning content in the form of a coloring book to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[0587] Terminal handling

[0588] Sending User Input

[0589] The terminal provides an interface for transmitting the original content entered by the user to the server.

[0590] Receiving coloring content

[0591] The terminal receives the coloring content sent from the server and prepares to display it.

[0592] Viewing the Interface

[0593] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[0594] User operations

[0595] Entering original content

[0596] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[0597] Use of coloring books

[0598] Users can enjoy coloring while viewing the coloring content displayed on the device. This allows young children to naturally understand the learning content and learn with interest. Specifically, for example, they can enjoy coloring a lion based on simplified text such as, "Lions are large cats that live on grasslands. Male lions have manes."

[0599] Hardware and software used

[0600] Hardware: smartphones, tablets, servers

[0601] Software: Android / iOS apps, server-side scripts (Python, Node.js, etc.), machine learning libraries (TensorFlow, PyTorch, etc.)

[0602] The system configured in this way allows young children to learn in a fun and effective way.

[0603] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0604] Step 1:

[0605] The user uses the device to input original content, which may include text or image files containing information the child wants to learn. The input data is collected through a user interface (e.g., text boxes and image upload buttons).

[0606] Step 2:

[0607] The device sends the original content entered by the user to the server. The entered text or image file is sent through an API endpoint that allows the server to receive the data appropriately. When sent, the input data is converted into an appropriate format (e.g., JSON format).

[0608] Step 3:

[0609] The server receives the original content sent by the user. The received data is pre-processed (e.g., text cleaning and filtering) to feed into a generative AI model. The input here is the original content, and the output is the pre-processed content.

[0610] Step 4:

[0611] The server uses a generative AI model to simplify the original content. Specifically, it inputs a prompt sentence into the generative AI model to convert the received sentence or image into a simple representation. An example of a prompt sentence is as follows:

[0612] TXT

[0613] Please simplify the following sentences for young children:

[0614] Lions are big cats that live in grasslands. Male lions have manes.

[0615] The generative AI model outputs simplified text based on this prompt. The input is the preprocessed content, and the output is the simplified content.

[0616] Step 5:

[0617] The server generates images based on the simplified text and extracts their outlines. The generated images are converted into coloring book format and provided as visual learning elements. The input is the simplified text, and the output is a coloring book format image.

[0618] Step 6:

[0619] The server delivers the generated learning content in the form of a coloring book to the user's device. The generated content is converted into an appropriate format (e.g., image file or PDF) and sent to the user's device.

[0620] Step 7:

[0621] The device receives the coloring content sent from the server and displays it so that the user can use it interactively. The received data is displayed on the screen, and the child can color it using their finger or a stylus.

[0622] Step 8:

[0623] Users can enjoy coloring and learning through the coloring content displayed on their device. They can perform interactive operations through the interface. Specifically, by selecting colors and shapes based on the learning content and completing the coloring, they can naturally absorb knowledge.

[0624] 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.

[0625] This invention is a knowledge provision system for young children, which has a mechanism in which a server, a terminal, a user, and an emotion engine work together. This system is implemented in the following way.

[0626] Server Processing

[0627] Receiving input

[0628] The server receives the original content sent by the user from the device. This content is material such as text and image files containing the information to be learned.

[0629] Simplifying content

[0630] The server uses a generative model to simplify the received original content for young children. A generative model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it converts difficult words into simpler terms and complex sentences into simpler sentences. It also generates visual elements as needed. Visual elements are images, shapes, illustrations, and other visual elements that complement text information and aid understanding.

[0631] Coloring book content generation

[0632] The server automatically generates coloring-book-style learning content based on the simplified content. Coloring-book-style learning content is content provided as a coloring book that visually represents the learning content. Specifically, it generates related images based on simplified explanations and commentary, automatically extracts the outlines of those images, and converts them into a format suitable for coloring. This coloring book integrates learning elements and contains the knowledge and information to be learned.

[0633] Distribution of coloring book content

[0634] The server distributes the generated coloring content to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[0635] Emotion engine processing

[0636] User Emotion Recognition

[0637] The emotion engine analyzes the user's facial expressions, tone of voice, etc. to recognize the user's emotions in real time. The emotion engine uses input devices such as a camera and microphone.

[0638] Adjusting content based on emotions

[0639] The emotion engine uses the emotional data it recognizes to adjust the content and difficulty of the learning content, for example, adding more engaging images or easier questions if the user is bored.

[0640] Recording and analyzing emotional data

[0641] The emotion engine records the user's emotion data and sends it to the server for use in later improving and personalizing learning content.

[0642] Terminal handling

[0643] Sending User Input

[0644] The terminal provides an interface for transmitting the original content input by the user to the server. The interface is an operation screen and an input device that the user uses to operate the system.

[0645] Receiving coloring content

[0646] The terminal receives the coloring content sent from the server, and is then ready to visually display the received coloring content.

[0647] Emotion engine data transmission

[0648] The device transmits emotion data from the emotion engine to the server, and also reflects the output of the emotion engine in real time on the server.

[0649] Viewing the Interface

[0650] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[0651] User operations

[0652] Entering original content

[0653] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[0654] Use of coloring books

[0655] Users enjoy coloring by viewing the coloring content displayed on their device. While coloring, users (especially young children) naturally read and learn from simplified explanations. By coloring the pictures with their fingers or a stylus, they also acquire knowledge visually.

[0656] Specific examples

[0657] Example 1: Learning about animals

[0658] 1. User operations

[0659] A user enters the text "I want to learn information about lions."

[0660] 2. Server Processing

[0661] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[0662] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[0663] 3. Emotion Engine Processing

[0664] The emotion engine recognizes whether a child is having fun from their facial expressions and voice.

[0665] If the emotion engine detects that the child is bored, the server adds more interesting information and images.

[0666] 4. Terminal Processing

[0667] The terminal receives the coloring content sent from the server and displays it on the screen.

[0668] 5. User Operations

[0669] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[0670] The system provides a learning environment that helps young children acquire knowledge naturally while keeping them interested, and its emotional engine monitors children's reactions in real time to optimize learning content.

[0671] The processing flow will be explained below.

[0672] Step 1:

[0673] Users input the information they want to learn through the device interface, and this original content includes text and images.

[0674] Step 2:

[0675] The terminal transmits the original content input by the user to the server.

[0676] Step 3:

[0677] The server receives the original content sent from the terminal.

[0678] Step 4:

[0679] The server inputs the received original content into a generative model and simplifies it for young children, converting complex words into simpler terms and complex sentences into simpler sentences.

[0680] Step 5:

[0681] The server generates relevant visual elements (images and illustrations) based on the simplified content. Visual elements include images, figures, and illustrations that complement the text information and aid comprehension.

[0682] Step 6:

[0683] The server extracts the outlines of the generated visual elements and automatically generates learning content in the form of a coloring book, with a simple explanation attached.

[0684] Step 7:

[0685] The server creates learning content in the form of a coloring book that integrates learning elements based on the simplified content and visual elements.

[0686] Step 8:

[0687] The server distributes the generated learning content in the form of a coloring book to the user's terminal.

[0688] Step 9:

[0689] The terminal receives the learning content in the form of a coloring book sent from the server and displays it on the screen.

[0690] Step 10:

[0691] Users (children) can enjoy coloring while viewing learning content in the form of coloring books displayed on the device. By coloring the pictures with their fingers or a stylus, they can also learn knowledge visually.

[0692] Step 11:

[0693] The emotion engine analyzes the user's facial expressions and tone of voice through a camera and microphone to recognize the user's emotions.

[0694] Step 12:

[0695] The emotion engine analyzes the user's emotion data in real time and transmits the information to the server.

[0696] Step 13:

[0697] The server adjusts the content and difficulty of the learning content based on the emotion data received from the emotion engine. For example, if the user is bored, it adds more attractive images or easier questions.

[0698] Step 14:

[0699] The server transmits the updated study content again to the user's terminal.

[0700] Step 15:

[0701] The terminal redisplays the updated learning content on the screen, allowing the user to continue using it interactively.

[0702] Step 16:

[0703] The emotion engine continues to monitor the user's emotions and sends new emotion data to the server as needed.

[0704] To give a specific example, in a scenario where "information about lions" is input as learning content, the process proceeds as follows:

[0705] Example: Animal learning

[0706] 1. Step 1: User enters text "I want to learn information about lions."

[0707] 2. Steps 3-6: The server simplifies the text, adds visual elements, and generates learning content in the form of a coloring book.

[0708] 3. Step 8: The server sends the generated content to the terminal.

[0709] 4. Step 10: The user (child) learns while enjoying coloring on the device.

[0710] 5. Steps 11-14: The emotion engine recognizes the user's emotions, and the server adjusts the learning content accordingly.

[0711] The system provides a learning environment that engages young children and allows them to acquire knowledge naturally, and its emotional engine monitors children's reactions in real time to optimize learning content.

[0712] Example 2

[0713] 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."

[0714] Conventional educational systems for young children have the problem that the level of difficulty and the way the information is presented is often inappropriate for children, making it easy for children to lose interest in learning. In addition, it is not possible to adjust the content in real time according to the emotions of each user, making it difficult to provide effective learning support.

[0715] 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.

[0716] In this invention, the server includes a means for receiving original information provided by a user, a means for using a generative model to simplify the original information for young children, and a means for automatically generating educational content in the form of a coloring book based on the simplified information. This allows for the provision of educational content at a level of difficulty appropriate for young children, enabling children to continue learning while maintaining their interest. Furthermore, by analyzing the user's facial expressions and voice using an emotion engine, the content and difficulty level of the content can be adjusted in real time, maximizing the learning effect for each child.

[0717] "Original information" refers to learning materials such as text, images, and audio provided by the user.

[0718] A "generative model" is a machine learning model that analyzes original information and converts it into a simpler, more understandable representation.

[0719] "Simplification" refers to converting complex words and expressions into simpler forms that even young children can understand.

[0720] "Coloring book-style educational content" is content that is in the form of a coloring book created based on learning materials, allowing children to learn while coloring.

[0721] A "device" is an electronic device that a user uses to enter information or display received content.

[0722] "Visual elements" are images, figures, illustrations, and other visual elements that complement text information and aid comprehension.

[0723] "Learning components" are elements of knowledge or information that are integrated into educational content.

[0724] An "interface" is an operation screen or input device that allows a user to operate the system.

[0725] An "emotion engine" is a program or system that analyzes a user's facial expressions and voice to recognize their emotions.

[0726] "Real time" refers to the time attribute in which processing is performed immediately and the results are reflected immediately.

[0727] This invention is a knowledge provision system for young children, which provides an environment in which young children can learn in a fun and effective way by having a server, terminals, users, and an emotion engine work together.

[0728] Hardware and Software Configuration

[0729] The servers are responsible for data processing and content generation. They are equipped with high-performance CPUs and GPUs, providing the computing power to process large amounts of data at high speed. They also have software installed to run generative AI models (such as GPT-3).

[0730] A terminal is a device operated by a user, and includes PCs, tablets, smartphones, etc. Terminals are equipped with internet connectivity and input devices such as cameras and microphones, allowing users to input content and display received educational content.

[0731] The emotion engine is a program that analyzes the user's facial expressions and voice to acquire emotional data. It analyzes data acquired from the camera and microphone and recognizes the user's emotions, such as whether they are enjoying themselves or feeling bored, in real time.

[0732] Data processing and calculation

[0733] The user inputs the information they want to learn through the device interface. For example, they might input "I want to learn information about lions" in text format.

[0734] The server receives the original information sent by the user. This information is then analyzed using a generative AI model. The generative model simplifies complex words and sentences for young children, converting them into simple, easy-to-understand expressions. This process generates sentences such as, "Lions are large cats that live on grasslands. Male lions have manes."

[0735] Based on the simplified information, the server automatically generates educational content in the form of a coloring book. Specifically, it extracts the outline of the generated lion illustration and generates an image file for coloring. This image file depicts the lion's characteristics as visual elements.

[0736] The generated coloring content is sent from the server to the device in real time. The device receives this content and displays it on the screen. Users (especially young children) can enjoy coloring the displayed coloring page while learning about lions.

[0737] The emotion engine analyzes the user's facial expressions and tone of voice to recognize emotions in real time. For example, if the server detects that the user is bored, it will incorporate more interesting information or additional visual elements into the content. This emotion data is sent to the server and reflected in the next content generation.

[0738] Use concrete examples and prompts

[0739] The operation of this system is explained using the following example.

[0740] Example 1: Learning about animals

[0741] 1. User operations

[0742] A user enters the following text: "I want to learn about lions. Please create a simple and easy to understand explanation and a lion coloring page."

[0743] 2. Server Processing

[0744] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[0745] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[0746] 3. Emotion Engine Processing

[0747] The emotion engine recognizes whether a child is having fun from their facial expressions and voice.

[0748] If the emotion engine detects that the child is bored, the server adds more interesting information and images.

[0749] 4. Terminal Processing

[0750] The terminal receives the coloring content sent from the server and displays it on the screen.

[0751] 5. User Operations

[0752] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[0753] In this way, children can acquire knowledge naturally while being interested in the system.The emotion engine also monitors the user's reactions in real time and optimizes the learning content.

[0754] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0755] Step 1:

[0756] The user uses the device to input the information they want to learn. For example, they might input "I want to learn about lions" in text format. This input data is sent to the server as a prompt based on the user's intention.

[0757] Input: Text data entered by the user: "I want to learn about lions."

[0758] Output: Sends the prompt to the server.

[0759] Step 2:

[0760] The server processes the prompt received from the user and analyzes it using a generative AI model. Specifically, based on the prompt "I want to learn about lions," it generates relevant information. In this process, complex expressions and words are simplified.

[0761] Input: The prompt text sent by the user.

[0762] Data processing: Analysis of prompts and generation of information using a generative AI model.

[0763] Output: A simplified sentence such as "Lions are big cats that live in grasslands. Male lions have manes."

[0764] Step 3:

[0765] The server automatically generates educational content in the form of a coloring book based on the simplified text. The coloring content includes an outline of the lion's body and its characteristic mane. This image data is then converted into a format that can be displayed on the device.

[0766] Input: Simplified text.

[0767] Data calculation: Generate images and extract outlines to generate coloring book format image files.

[0768] Output: Coloring book format image file.

[0769] Step 4:

[0770] The server delivers the generated coloring content to the user's device in real time. This data is transmitted over the Internet and reaches the user's device.

[0771] Input: Coloring book format image file.

[0772] Output: Sending the coloring content to the user's device.

[0773] Step 5:

[0774] The device receives the coloring content sent from the server, and the received data is displayed on the device screen, ready for the user to use interactively.

[0775] Input: Coloring book content sent from the server.

[0776] Output: Screen display of coloring book content.

[0777] Step 6:

[0778] The emotion engine uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time to recognize emotional data. Based on this data, the server adjusts the content and difficulty of the educational content.

[0779] Input: User facial and voice data obtained from the camera and microphone.

[0780] Data computation: Analysis with emotion recognition algorithms.

[0781] Output: Emotion data.

[0782] Step 7:

[0783] The server receives the emotion data sent from the emotion engine and adjusts the educational content according to the user's emotion, for example, adding more interesting information if the user is bored.

[0784] Input: Emotion data sent from the emotion engine.

[0785] Data processing: Adjustment of educational content.

[0786] Output: Adjusted educational content.

[0787] Step 8:

[0788] The device receives the adjusted educational content and provides it to the user, who can then continue coloring based on the new information.

[0789] Input: Adjusted educational content.

[0790] Output: The adjusted coloring book content is displayed on the screen and the user can interact with it.

[0791] (Application example 2)

[0792] 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."

[0793] Educational content for young children is often difficult to understand, and it is difficult to attract their attention. Providing content that engages young children and allows them to learn is particularly important in educational settings and at home, but it is extremely difficult to tailor content to each child's emotions and interests. Furthermore, there is a need for technology that can analyze emotions in real time and optimize content appropriately while providing interactive content.

[0794] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0795] In this invention, the server includes means for receiving original content provided by a user, means for using a generative model to simplify the original content for young children, and means for automatically generating coloring-book-style learning content based on the simplified content. This makes it possible to provide content that is easy for young children to understand and that they can learn with interest. The server also includes means for delivering the automatically generated coloring-book-style learning content to a user's device, means for the device to recognize the user's emotions in real time using a camera and microphone and use an emotion engine to adjust the learning content based on that information, and means for providing an interface that allows the user to interactively use the coloring-book-style learning content via a touchscreen. This allows young children to learn while having fun, providing an optimal learning experience based on their individual emotions and interests.

[0796] "Means for receiving original content provided by the user" refers to a mechanism by which the server receives data such as text and image files entered by the user.

[0797] "Means using generative models to simplify original content for young children" refers to a system that uses machine learning models to convert complex sentences and difficult words into simple expressions that even young children can understand.

[0798] "Means for automatically generating learning content in the form of a coloring book based on simplified content" refers to a mechanism for creating visual teaching materials provided as coloring books based on text information converted into simple expressions.

[0799] "Means for delivering automatically generated learning content in the form of coloring books to users' devices" refers to a system in which coloring book content created by a server is sent via the Internet to devices such as tablets and PCs used by users.

[0800] "The device uses a camera and microphone to recognize the user's emotions in real time, and an emotion engine that adjusts the learning content based on that information" refers to a mechanism that uses the camera and microphone built into the device to analyze the user's facial expressions and tone of voice, and changes the learning content according to the user's emotional state.

[0801] "Means for providing an interface that allows users to interactively use coloring-style learning content via a touchscreen" refers to a system that uses a touchscreen on a tablet or smartphone to display an operation screen that allows users to learn while enjoying coloring.

[0802] This invention is a system that simplifies original content provided by users to make it easier for young children to use, and generates and distributes interactive coloring books. This system is implemented through the mutual cooperation of a server, terminals, an emotion engine, and users.

[0803] Server Processing

[0804] Receiving and facilitating content

[0805] The server receives the original content provided by the user, which may be text or image files containing information that the child is to learn.

[0806] After receiving the original content, the server uses a generative AI model (e.g., GPT-4) to simplify the content for young children, converting complex words into simpler terms, complex sentences into simpler sentences, and generating visual elements to complement the text information.

[0807] For example, if a user enters "information about lions," the server simplifies it to "lions are large cats that live in grasslands. Male lions have manes."

[0808] Coloring book content generation

[0809] The server generates related images based on the simplified content, extracts the outlines of those images, and creates learning content in the form of a coloring book. This automatically generates coloring books based on simplified explanations and commentary.

[0810] Distribution of coloring book content

[0811] The generated coloring content is delivered to the user's device, allowing the user's device to receive coloring content suitable for learning.

[0812] Emotion engine processing

[0813] Emotion Recognition and Content Adjustment

[0814] The emotion engine analyzes the user's facial expressions and tone of voice via a camera and microphone, recognizing their emotions in real time. Based on the recognized emotional data, it has the ability to adjust the content and difficulty of the learning content.

[0815] For example, if the emotion engine detects that a child is bored, the server will add more interesting information and images, providing an optimal learning experience tailored to each individual user's emotions.

[0816] Terminal handling

[0817] View content and learn interactively

[0818] The terminal displays the coloring content received from the server and provides an interface that allows users to use it interactively via a touch screen, allowing children to learn while having fun coloring.

[0819] The device also transmits emotion engine data to the server in real time, further personalizing the learning experience on the device.

[0820] Specific examples and prompts

[0821] Specific examples

[0822] When a user types "I want to learn information about lions," the server uses a generative AI model (e.g., GPT-4) to generate a simple description such as "Lions are big cats that live in grasslands. Male lions have manes."

[0823] The system then extracts the outline of a related image (e.g., a picture of a lion) and provides it as a coloring book. Children can enjoy coloring this book on their tablet device while learning. The device's built-in emotion engine also analyzes the child's reactions in real time and continues to provide the most appropriate content.

[0824] Prompt Sentence Examples

[0825] "Easily adapt the following content for young children:

[0826] Lions live in the grasslands and males have manes."

[0827] This system provides an environment where young children can acquire knowledge while having fun. Growth and learning progress is managed appropriately in real time, and content is optimized based on the user's emotions, resulting in a more effective learning experience.

[0828] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0829] Step 1:

[0830] Entering and receiving user-original content

[0831] The user inputs the original content they want to learn using their device. The original content can be text or image files. The device then sends this original content to the server. The server receives the original content provided by the user as input and records the data.

[0832] Specific actions

[0833] The user enters text into the input field.

[0834] The terminal transmits the input text data to the server.

[0835] The server receives the original content and stores it in a database.

[0836] Step 2:

[0837] Simplifying content

[0838] The server then uses a generative AI model (e.g., GPT-4) to simplify the received original content for young children. This is the process where the original content is input and the generative AI model outputs text that has been converted into simple language.

[0839] Specific actions

[0840] The server passes the received content to the generative AI model.

[0841] The generative AI model is fed a prompt in the form of "Please convert the following content into something suitable for young children."

[0842] A generative AI model (e.g., GPT-4) generates simplified content and returns it to the server.

[0843] Store the simplified content in a database.

[0844] Step 3:

[0845] Coloring book content generation

[0846] The server generates related images based on the simplified content and extracts the outlines of those images, generating learning content in the form of a coloring book. This process takes the simplified text and related images as input and outputs an outline image of the coloring book.

[0847] Specific actions

[0848] The server loads the simplified content and generates the relevant images.

[0849] Extract the outline of the image using an image processing library such as OpenCV.

[0850] The extracted outline images are converted into coloring book format and stored in a database.

[0851] Step 4:

[0852] Distribution of coloring book content

[0853] The server delivers the generated coloring book content to the user's terminal. In this step, the generated coloring book content is input, transmitted to the user's terminal, and received by the terminal is the output.

[0854] Specific actions

[0855] The server loads the generated coloring book content.

[0856] Coloring content is sent to the user's device via the network.

[0857] The device receives the coloring content and prepares it for display.

[0858] Step 5:

[0859] Emotion Recognition and Content Adjustment

[0860] Using the device's built-in camera and microphone, the emotion engine analyzes the user's facial expressions and voice to obtain emotional data in real time. Based on this emotional data, the server adjusts the content and difficulty of the learning content.

[0861] Specific actions

[0862] The device's camera captures the user's facial expression and the microphone records their voice.

[0863] The emotion engine analyzes this data and estimates the emotional state.

[0864] The estimated emotion data is sent to the server, which then adjusts the learning content.

[0865] The content will be rebalanced and the updated coloring content will be redistributed to your device.

[0866] Step 6:

[0867] Interactive learning experience

[0868] Users can enjoy coloring content while learning through the device's touchscreen, which reflects the user's actions in real time and receives feedback from the emotion engine.

[0869] Specific actions

[0870] The device displays the coloring content, and the user begins coloring on the touch screen.

[0871] The area where the user touches can be colored.

[0872] The user's reactions and actions are fed back to the emotion engine in real time.

[0873] If necessary, the server optimizes the content again and sends updated data to the terminal.

[0874] This series of processes creates an interactive educational environment that engages young children and allows them to learn in a fun and engaging way.

[0875] 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.

[0876] 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.

[0877] 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.

[0878] [Third embodiment]

[0879] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0880] 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.

[0881] 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).

[0882] 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.

[0883] 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.

[0884] 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).

[0885] 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.

[0886] 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.

[0887] 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.

[0888] 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.

[0889] 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.

[0890] 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."

[0891] This invention is a knowledge provision system for young children, which has a mechanism in which a server, a terminal, and a user work together. This system is implemented in the following way.

[0892] Server Processing

[0893] Receiving input

[0894] The server receives the original content sent by the user from the device. This content is material such as text and image files containing the information to be learned.

[0895] Simplifying content

[0896] The server uses a generative model to simplify the original content it receives for young children. A generative model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it replaces difficult words with simpler terms and converts complex sentence structures into simpler sentences. It also generates visual elements as needed. Visual elements are images, shapes, illustrations, and other visual elements that complement text information and aid understanding.

[0897] Coloring book content generation

[0898] The server automatically generates coloring-book-style learning content based on the simplified content. Coloring-book-style learning content is content provided as a coloring book that visually represents the learning content. Specifically, it generates related images based on simplified explanations and commentary, automatically extracts the outlines of those images, and converts them into a format suitable for coloring. This coloring book integrates learning elements and contains the knowledge and information to be learned.

[0899] Distribution of coloring book content

[0900] The server distributes the generated coloring content to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[0901] Terminal handling

[0902] Sending User Input

[0903] The terminal provides an interface for transmitting the original content input by the user to the server. The interface is an operation screen and an input device that the user uses to operate the system.

[0904] Receiving coloring content

[0905] The terminal receives the coloring content sent from the server, and is then ready to visually display the received coloring content.

[0906] Viewing the Interface

[0907] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[0908] User operations

[0909] Entering original content

[0910] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[0911] Use of coloring books

[0912] Users enjoy coloring by viewing the coloring content displayed on their device. While coloring, users (especially young children) naturally read and learn from simplified explanations. By coloring the pictures with their fingers or a stylus, they also acquire knowledge visually.

[0913] Specific examples

[0914] Example 1: Learning about animals

[0915] 1. User operations

[0916] A user enters the text "I want to learn information about lions."

[0917] 2. Server Processing

[0918] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[0919] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[0920] 3. Terminal Processing

[0921] The terminal receives the coloring content sent from the server and displays it on the screen.

[0922] 4. User Operation

[0923] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[0924] This system provides a learning environment that allows young children to acquire knowledge naturally while stimulating their interest.

[0925] The processing flow will be explained below.

[0926] Step 1:

[0927] The user uses an interface to input the information they want to learn and inputs the original content (text and images) into the device.

[0928] Step 2:

[0929] The terminal transmits the original content input by the user to the server.

[0930] Step 3:

[0931] The server receives the original content sent from the terminal.

[0932] Step 4:

[0933] The server inputs the received original content into a generative model and simplifies it for young children, converting complex words into simpler terms and complex sentences into simpler sentences.

[0934] Step 5:

[0935] The server generates relevant visual elements (images and illustrations) based on the simplified content.

[0936] Step 6:

[0937] The server extracts the outlines of the generated visual elements and automatically generates learning content in the form of a coloring book, with a simple explanation attached.

[0938] Step 7:

[0939] The server transmits the generated learning content in the form of a coloring book to the user's terminal.

[0940] Step 8:

[0941] The terminal receives the learning content in the form of a coloring book sent from the server and displays it on the screen.

[0942] Step 9:

[0943] The user (child) looks at the coloring book-style learning content displayed on the device and colors it using their finger or a stylus, progressing through the learning process in a natural way.

[0944] Example 1

[0945] 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."

[0946] Creating effective learning materials for young children is not easy. Currently, many learning materials contain language and complex content that is difficult for young children to understand, and appropriate simplification is required. Furthermore, visual elements are extremely important in capturing young children's interest, and information must be presented in an appealing format. Furthermore, a user-friendly interface that allows easy use of such materials is also required.

[0947] 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.

[0948] In this invention, the server includes a means for receiving original information provided by a user, a means for using a generative artificial intelligence model to simplify the original information for young children, and a means for automatically generating learning materials in the form of coloring books based on the simplified information, thereby making it possible to provide learning materials that are simple and visually appealing so that young children can learn with interest.

[0949] "User" refers to a person who uses this system.

[0950] "Original information" refers to data such as text and image files provided by users to create study materials.

[0951] A "generative artificial intelligence model" refers to a machine learning model that simplifies original information for young children.

[0952] "Simplification" refers to the process of changing difficult words into simpler ones or simplifying complex sentence structures.

[0953] "Coloring book-style learning materials" refers to learning content in the form of a coloring book that is automatically generated based on simplified information.

[0954] "Visual elements" refers to visual elements such as images, figures, and illustrations that complement text information and aid comprehension.

[0955] "Learning elements" refer to the knowledge and information to be learned, and the content contained in the coloring book-style learning materials.

[0956] An "information processing device" is a device that allows a user to use this system, such as a computer, smartphone, or tablet terminal.

[0957] An "input / output device" is a device that allows a user to input information or output results, such as a keyboard, mouse, or touch screen.

[0958] This invention is a system for providing knowledge to young children, and is realized by the cooperation of a server, a terminal, and a user. This system is specifically implemented in the following manner.

[0959] First, the user provides the original information they want to learn. This is done by using the device interface to input text or upload an image file. For example, the user might input, "I want to learn information about lions."

[0960] The device sends the original information entered to the server. This is done using an operation screen within a web application or mobile app. The device sends the information via an HTTP POST request, and the server receives it.

[0961] The server then simplifies the received original information using a generative AI model. The generative AI model used here uses a library that utilizes natural language processing (NLP) technology (e.g., OpenAI GPT-3). The server provides the model with prompts to convert the original information into a form that is easy for young children to understand.

[0962] For example, the original sentence "Lions are carnivores, not herbivores" is simplified to "Lions are animals that eat meat."

[0963] The server then generates learning materials in the form of a coloring book based on the simplified information. Here, an image generation library (e.g., OpenCV) is used to generate relevant images, extract their outlines, and convert them into a coloring book format. For example, based on the information about a lion, an image of a lion is generated, and its outline is extracted and converted into a coloring book.

[0964] The generated learning materials in the form of coloring books are delivered from the server to the device. The device visually displays the received coloring materials, allowing users to use them interactively. Specifically, a coloring image of a lion is displayed on the device, and children can color it using their fingers or a stylus.

[0965] Simplified explanations are displayed alongside the coloring pages, allowing young children to learn naturally. For example, the explanation might say, "Lions are large cats that live on grasslands. Male lions have manes."

[0966] This system provides a learning environment that allows young children to acquire knowledge naturally while stimulating their interest.

[0967] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0968] Step 1:

[0969] The user enters the original information using the device interface. For example, the user can enter the text "I want to learn about lions" or upload an image file of a lion. The interface provides text input fields and image upload functionality. The entered data is sent to the server via an HTTP POST request.

[0970] Step 2:

[0971] After receiving the original information provided by the user, the terminal sends it to the server through an HTTP request. The main role of the terminal is to properly forward the information provided by the user to the server. Specifically, it receives data including the user's text and images and sends them to the specified endpoint.

[0972] Step 3:

[0973] The server receives the original information sent from the device, including text content and image files. For example, the server receives the text entered by the user: "I want to learn about lions." The received data is temporarily stored in a database for use in the next processing step.

[0974] Step 4:

[0975] The server simplifies the received original information using a generative AI model. Specifically, a library that utilizes natural language processing (NLP) techniques (e.g., OpenAI GPT-3) is used. This model receives user-provided text as input and obtains simplified text as output. For example, the sentence "Lions are carnivores, not herbivores" is converted to "Lions are meat-eaters."

[0976] Step 5:

[0977] The server generates learning materials in the form of a coloring book based on the simplified text. This process uses an image generation library (e.g., OpenCV). Based on the simplified information, it generates a related image, extracts the outline of the image, and converts it into a coloring book format. For example, an image of a lion is generated and then processed into a coloring book format.

[0978] Step 6:

[0979] The server delivers the generated learning materials in coloring book format to the user's device. For this delivery, it sends the learning materials in coloring book format (e.g. PNG image file) to the device using an HTTP response. The received coloring book materials are visually displayed on the device.

[0980] Step 7:

[0981] The device receives learning materials in the form of coloring books from the server and displays them on the screen. The device then renders the received materials appropriately on the screen so that the user can use them interactively. Specifically, it displays a coloring book image of a lion, allowing the user to color it with their finger or a stylus.

[0982] Step 8:

[0983] Users can enjoy coloring learning materials displayed on their devices. While coloring, they can read and learn from the simplified explanations displayed. For example, while enjoying coloring a lion, they can understand the explanation that "lions are large cats that live on grasslands. Male lions have manes."

[0984] These steps allow users (especially young children) to acquire knowledge naturally while learning with interest.

[0985] (Application example 1)

[0986] 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."

[0987] Providing content that will pique young children's interest in learning is a challenge. Conventional learning systems have difficulty generating content that is appropriately simplified for young children, and lack interactive learning functions, making it difficult to keep young children's attention. Therefore, there is a need for a system that can automatically generate effective learning content that will allow young children to learn in a fun way and that can be used interactively via devices.

[0988] 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.

[0989] In this invention, the server includes a means for receiving original content provided by a user, a means for using a generation model to simplify the original content for young children, and a means for enabling interactive use of coloring-book-style learning content distributed to the terminal. This makes it possible to simplify the original content for young children, and then generate and distribute coloring-book-style learning content based on the simplified content. Furthermore, by interactively using the generated content, young children can learn effectively while having fun.

[0990] The "means for receiving original content provided by the user" is a mechanism for transmitting learning materials such as text and images entered by the user to the server.

[0991] "Means using generative models to simplify original content for young children" refers to a process that uses a generative AI model to convert difficult words and complex sentence structures into a form that is easy for young children to understand.

[0992] The "means for automatically generating learning content in the form of a coloring book based on simplified content" is a mechanism that uses simplified information to automatically generate educational content that can be used to learn in the form of a visual coloring book.

[0993] "Means for delivering automatically generated learning content in the form of a coloring book to a user's device" refers to the process of sending the generated educational content in the form of a coloring book to a device such as a user's smartphone or tablet.

[0994] "Means for transmitting content entered by the user to the server" refers to the interface or protocol that transmits the learning content desired by the user from the terminal to the server.

[0995] "Means for enabling interactive use of coloring book-style educational content delivered to a terminal" refers to an interface that allows a user to operate and interactively use coloring book-style educational content on a terminal.

[0996] "Means for generating simplified text, generating images based on the simplified text, and extracting the outlines of the images" refers to the process of using a generative AI model to create related images from simplified text, and then extracting the outlines of the images in a format that can be used as a coloring book.

[0997] "Means for adding visual elements" refers to techniques for adding visual elements such as images and figures to learning content to complement understanding.

[0998] "Means of integrating learning elements" refers to the process of incorporating specific learning points and information into the generated coloring book content.

[0999] "Means for providing an interface that makes it easy for users to input original content" refers to an operation screen or input device designed to allow users to intuitively input text and images.

[1000] The "means for displaying an interface that allows the user to use learning content in the form of a coloring book" refers to a screen or interface that displays the generated coloring book content so that the user can operate it while viewing it.

[1001] The "means for generating prompts to generate simplified content" is the process of creating appropriate prompts to input into a generative AI model to convert the original content into a content suitable for young children.

[1002] This invention is a system that automatically generates learning content for young children and provides it to users. The overall process is carried out in cooperation with three main elements: a server, a terminal, and a user.

[1003] Server Processing

[1004] Receiving input

[1005] The server receives the original content sent by the user from the device. This original content is material such as text or image files containing information to be learned.

[1006] Simplifying content

[1007] The server uses a generative AI model to simplify the received original content for young children. The generative AI model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it replaces difficult words with simpler terms and converts complex sentence structures into simpler sentences. It also generates visual elements as needed. For example, it uses prompt sentences like the following:

[1008] TXT

[1009] Please simplify the following sentences for young children:

[1010] Lions are big cats that live in grasslands. Male lions have manes.

[1011] Coloring book content generation

[1012] The server automatically generates learning content in the form of a coloring book based on the simplified content. This coloring content generates outline images that visually represent the learning content, allowing young children to learn while coloring them in.

[1013] Distribution of coloring book content

[1014] The server distributes the generated learning content in the form of a coloring book to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[1015] Terminal handling

[1016] Sending User Input

[1017] The terminal provides an interface for transmitting the original content entered by the user to the server.

[1018] Receiving coloring content

[1019] The terminal receives the coloring content sent from the server and prepares to display it.

[1020] Viewing the Interface

[1021] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[1022] User operations

[1023] Entering original content

[1024] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[1025] Use of coloring books

[1026] Users can enjoy coloring while viewing the coloring content displayed on the device. This allows young children to naturally understand the learning content and learn with interest. Specifically, for example, they can enjoy coloring a lion based on simplified text such as, "Lions are large cats that live on grasslands. Male lions have manes."

[1027] Hardware and software used

[1028] Hardware: smartphones, tablets, servers

[1029] Software: Android / iOS apps, server-side scripts (Python, Node.js, etc.), machine learning libraries (TensorFlow, PyTorch, etc.)

[1030] The system configured in this way allows young children to learn in a fun and effective way.

[1031] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1032] Step 1:

[1033] The user uses the device to input original content, which may include text or image files containing information the child wants to learn. The input data is collected through a user interface (e.g., text boxes and image upload buttons).

[1034] Step 2:

[1035] The device sends the original content entered by the user to the server. The entered text or image file is sent through an API endpoint that allows the server to receive the data appropriately. When sent, the input data is converted into an appropriate format (e.g., JSON format).

[1036] Step 3:

[1037] The server receives the original content sent by the user. The received data is pre-processed (e.g., text cleaning and filtering) to feed into a generative AI model. The input here is the original content, and the output is the pre-processed content.

[1038] Step 4:

[1039] The server uses a generative AI model to simplify the original content. Specifically, it inputs a prompt sentence into the generative AI model to convert the received sentence or image into a simple representation. An example of a prompt sentence is as follows:

[1040] TXT

[1041] Please simplify the following sentences for young children:

[1042] Lions are big cats that live in grasslands. Male lions have manes.

[1043] The generative AI model outputs simplified text based on this prompt. The input is the preprocessed content, and the output is the simplified content.

[1044] Step 5:

[1045] The server generates images based on the simplified text and extracts their outlines. The generated images are converted into coloring book format and provided as visual learning elements. The input is the simplified text, and the output is a coloring book format image.

[1046] Step 6:

[1047] The server delivers the generated learning content in the form of a coloring book to the user's device. The generated content is converted into an appropriate format (e.g., image file or PDF) and sent to the user's device.

[1048] Step 7:

[1049] The device receives the coloring content sent from the server and displays it so that the user can use it interactively. The received data is displayed on the screen, and the child can color it using their finger or a stylus.

[1050] Step 8:

[1051] Users can enjoy coloring and learning through the coloring content displayed on their device. They can perform interactive operations through the interface. Specifically, by selecting colors and shapes based on the learning content and completing the coloring, they can naturally absorb knowledge.

[1052] 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.

[1053] This invention is a knowledge provision system for young children, which has a mechanism in which a server, a terminal, a user, and an emotion engine work together. This system is implemented in the following way.

[1054] Server Processing

[1055] Receiving input

[1056] The server receives the original content sent by the user from the device. This content is material such as text and image files containing the information to be learned.

[1057] Simplifying content

[1058] The server uses a generative model to simplify the received original content for young children. A generative model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it converts difficult words into simpler terms and complex sentences into simpler sentences. It also generates visual elements as needed. Visual elements are images, shapes, illustrations, and other visual elements that complement text information and aid understanding.

[1059] Coloring book content generation

[1060] The server automatically generates coloring-book-style learning content based on the simplified content. Coloring-book-style learning content is content provided as a coloring book that visually represents the learning content. Specifically, it generates related images based on simplified explanations and commentary, automatically extracts the outlines of those images, and converts them into a format suitable for coloring. This coloring book integrates learning elements and contains the knowledge and information to be learned.

[1061] Distribution of coloring book content

[1062] The server distributes the generated coloring content to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[1063] Emotion engine processing

[1064] User Emotion Recognition

[1065] The emotion engine analyzes the user's facial expressions, tone of voice, etc. to recognize the user's emotions in real time. The emotion engine uses input devices such as a camera and microphone.

[1066] Adjusting content based on emotions

[1067] The emotion engine uses the emotional data it recognizes to adjust the content and difficulty of the learning content, for example, adding more engaging images or easier questions if the user is bored.

[1068] Recording and analyzing emotional data

[1069] The emotion engine records the user's emotion data and sends it to the server for use in later improving and personalizing learning content.

[1070] Terminal handling

[1071] Sending User Input

[1072] The terminal provides an interface for transmitting the original content input by the user to the server. The interface is an operation screen and an input device that the user uses to operate the system.

[1073] Receiving coloring content

[1074] The terminal receives the coloring content sent from the server, and is then ready to visually display the received coloring content.

[1075] Emotion engine data transmission

[1076] The device transmits emotion data from the emotion engine to the server, and also reflects the output of the emotion engine in real time on the server.

[1077] Viewing the Interface

[1078] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[1079] User operations

[1080] Entering original content

[1081] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[1082] Use of coloring books

[1083] Users enjoy coloring by viewing the coloring content displayed on their device. While coloring, users (especially young children) naturally read and learn from simplified explanations. By coloring the pictures with their fingers or a stylus, they also acquire knowledge visually.

[1084] Specific examples

[1085] Example 1: Learning about animals

[1086] 1. User operations

[1087] A user enters the text "I want to learn information about lions."

[1088] 2. Server Processing

[1089] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[1090] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[1091] 3. Emotion Engine Processing

[1092] The emotion engine recognizes whether a child is having fun from their facial expressions and voice.

[1093] If the emotion engine detects that the child is bored, the server adds more interesting information and images.

[1094] 4. Terminal Processing

[1095] The terminal receives the coloring content sent from the server and displays it on the screen.

[1096] 5. User Operations

[1097] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[1098] The system provides a learning environment that helps young children acquire knowledge naturally while keeping them interested, and its emotional engine monitors children's reactions in real time to optimize learning content.

[1099] The processing flow will be explained below.

[1100] Step 1:

[1101] Users input the information they want to learn through the device interface, and this original content includes text and images.

[1102] Step 2:

[1103] The terminal transmits the original content input by the user to the server.

[1104] Step 3:

[1105] The server receives the original content sent from the terminal.

[1106] Step 4:

[1107] The server inputs the received original content into a generative model and simplifies it for young children, converting complex words into simpler terms and complex sentences into simpler sentences.

[1108] Step 5:

[1109] The server generates relevant visual elements (images and illustrations) based on the simplified content. Visual elements include images, figures, and illustrations that complement the text information and aid comprehension.

[1110] Step 6:

[1111] The server extracts the outlines of the generated visual elements and automatically generates learning content in the form of a coloring book, with a simple explanation attached.

[1112] Step 7:

[1113] The server creates learning content in the form of a coloring book that integrates learning elements based on the simplified content and visual elements.

[1114] Step 8:

[1115] The server distributes the generated learning content in the form of a coloring book to the user's terminal.

[1116] Step 9:

[1117] The terminal receives the learning content in the form of a coloring book sent from the server and displays it on the screen.

[1118] Step 10:

[1119] Users (children) can enjoy coloring while viewing learning content in the form of coloring books displayed on the device. By coloring the pictures with their fingers or a stylus, they can also learn knowledge visually.

[1120] Step 11:

[1121] The emotion engine analyzes the user's facial expressions and tone of voice through a camera and microphone to recognize the user's emotions.

[1122] Step 12:

[1123] The emotion engine analyzes the user's emotion data in real time and transmits the information to the server.

[1124] Step 13:

[1125] The server adjusts the content and difficulty of the learning content based on the emotion data received from the emotion engine. For example, if the user is bored, it adds more attractive images or easier questions.

[1126] Step 14:

[1127] The server transmits the updated study content again to the user's terminal.

[1128] Step 15:

[1129] The terminal redisplays the updated learning content on the screen, allowing the user to continue using it interactively.

[1130] Step 16:

[1131] The emotion engine continues to monitor the user's emotions and sends new emotion data to the server as needed.

[1132] To give a specific example, in a scenario where "information about lions" is input as learning content, the process proceeds as follows:

[1133] Example: Animal learning

[1134] 1. Step 1: User enters text "I want to learn information about lions."

[1135] 2. Steps 3-6: The server simplifies the text, adds visual elements, and generates learning content in the form of a coloring book.

[1136] 3. Step 8: The server sends the generated content to the terminal.

[1137] 4. Step 10: The user (child) learns while enjoying coloring on the device.

[1138] 5. Steps 11-14: The emotion engine recognizes the user's emotions, and the server adjusts the learning content accordingly.

[1139] The system provides a learning environment that engages young children and allows them to acquire knowledge naturally, and its emotional engine monitors children's reactions in real time to optimize learning content.

[1140] Example 2

[1141] 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."

[1142] Conventional educational systems for young children have the problem that the level of difficulty and the way the information is presented is often inappropriate for children, making it easy for children to lose interest in learning. In addition, it is not possible to adjust the content in real time according to the emotions of each user, making it difficult to provide effective learning support.

[1143] 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.

[1144] In this invention, the server includes a means for receiving original information provided by a user, a means for using a generative model to simplify the original information for young children, and a means for automatically generating educational content in the form of a coloring book based on the simplified information. This allows for the provision of educational content at a level of difficulty appropriate for young children, enabling children to continue learning while maintaining their interest. Furthermore, by analyzing the user's facial expressions and voice using an emotion engine, the content and difficulty level of the content can be adjusted in real time, maximizing the learning effect for each child.

[1145] "Original information" refers to learning materials such as text, images, and audio provided by the user.

[1146] A "generative model" is a machine learning model that analyzes original information and converts it into a simpler, more understandable representation.

[1147] "Simplification" refers to converting complex words and expressions into simpler forms that even young children can understand.

[1148] "Coloring book-style educational content" is content that is in the form of a coloring book created based on learning materials, allowing children to learn while coloring.

[1149] A "device" is an electronic device that a user uses to enter information or display received content.

[1150] "Visual elements" are images, figures, illustrations, and other visual elements that complement text information and aid comprehension.

[1151] "Learning components" are elements of knowledge or information that are integrated into educational content.

[1152] An "interface" is an operation screen or input device that allows a user to operate the system.

[1153] An "emotion engine" is a program or system that analyzes a user's facial expressions and voice to recognize their emotions.

[1154] "Real time" refers to the time attribute in which processing is performed immediately and the results are reflected immediately.

[1155] This invention is a knowledge provision system for young children, which provides an environment in which young children can learn in a fun and effective way by having a server, terminals, users, and an emotion engine work together.

[1156] Hardware and Software Configuration

[1157] The servers are responsible for data processing and content generation. They are equipped with high-performance CPUs and GPUs, providing the computing power to process large amounts of data at high speed. They also have software installed to run generative AI models (such as GPT-3).

[1158] A terminal is a device operated by a user, and includes PCs, tablets, smartphones, etc. Terminals are equipped with internet connectivity and input devices such as cameras and microphones, allowing users to input content and display received educational content.

[1159] The emotion engine is a program that analyzes the user's facial expressions and voice to acquire emotional data. It analyzes data acquired from the camera and microphone and recognizes the user's emotions, such as whether they are enjoying themselves or feeling bored, in real time.

[1160] Data processing and calculation

[1161] The user inputs the information they want to learn through the device interface. For example, they might input "I want to learn information about lions" in text format.

[1162] The server receives the original information sent by the user. This information is then analyzed using a generative AI model. The generative model simplifies complex words and sentences for young children, converting them into simple, easy-to-understand expressions. This process generates sentences such as, "Lions are large cats that live on grasslands. Male lions have manes."

[1163] Based on the simplified information, the server automatically generates educational content in the form of a coloring book. Specifically, it extracts the outline of the generated lion illustration and generates an image file for coloring. This image file depicts the lion's characteristics as visual elements.

[1164] The generated coloring content is sent from the server to the device in real time. The device receives this content and displays it on the screen. Users (especially young children) can enjoy coloring the displayed coloring page while learning about lions.

[1165] The emotion engine analyzes the user's facial expressions and tone of voice to recognize emotions in real time. For example, if the server detects that the user is bored, it will incorporate more interesting information or additional visual elements into the content. This emotion data is sent to the server and reflected in the next content generation.

[1166] Use concrete examples and prompts

[1167] The operation of this system is explained using the following example.

[1168] Example 1: Learning about animals

[1169] 1. User operations

[1170] A user enters the following text: "I want to learn about lions. Please create a simple and easy to understand explanation and a lion coloring page."

[1171] 2. Server Processing

[1172] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[1173] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[1174] 3. Emotion Engine Processing

[1175] The emotion engine recognizes whether a child is having fun from their facial expressions and voice.

[1176] If the emotion engine detects that the child is bored, the server adds more interesting information and images.

[1177] 4. Terminal Processing

[1178] The terminal receives the coloring content sent from the server and displays it on the screen.

[1179] 5. User Operations

[1180] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[1181] In this way, children can acquire knowledge naturally while being interested in the system.The emotion engine also monitors the user's reactions in real time and optimizes the learning content.

[1182] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1183] Step 1:

[1184] The user uses the device to input the information they want to learn. For example, they might input "I want to learn about lions" in text format. This input data is sent to the server as a prompt based on the user's intention.

[1185] Input: Text data entered by the user: "I want to learn about lions."

[1186] Output: Sends the prompt to the server.

[1187] Step 2:

[1188] The server processes the prompt received from the user and analyzes it using a generative AI model. Specifically, based on the prompt "I want to learn about lions," it generates relevant information. In this process, complex expressions and words are simplified.

[1189] Input: The prompt text sent by the user.

[1190] Data processing: Analysis of prompts and generation of information using a generative AI model.

[1191] Output: A simplified sentence such as "Lions are big cats that live in grasslands. Male lions have manes."

[1192] Step 3:

[1193] The server automatically generates educational content in the form of a coloring book based on the simplified text. The coloring content includes an outline of the lion's body and its characteristic mane. This image data is then converted into a format that can be displayed on the device.

[1194] Input: Simplified text.

[1195] Data calculation: Generate images and extract outlines to generate coloring book format image files.

[1196] Output: Coloring book format image file.

[1197] Step 4:

[1198] The server delivers the generated coloring content to the user's device in real time. This data is transmitted over the Internet and reaches the user's device.

[1199] Input: Coloring book format image file.

[1200] Output: Sending the coloring content to the user's device.

[1201] Step 5:

[1202] The device receives the coloring content sent from the server, and the received data is displayed on the device screen, ready for the user to use interactively.

[1203] Input: Coloring book content sent from the server.

[1204] Output: Screen display of coloring book content.

[1205] Step 6:

[1206] The emotion engine uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time to recognize emotional data. Based on this data, the server adjusts the content and difficulty of the educational content.

[1207] Input: User facial and voice data obtained from the camera and microphone.

[1208] Data computation: Analysis with emotion recognition algorithms.

[1209] Output: Emotion data.

[1210] Step 7:

[1211] The server receives the emotion data sent from the emotion engine and adjusts the educational content according to the user's emotion, for example, adding more interesting information if the user is bored.

[1212] Input: Emotion data sent from the emotion engine.

[1213] Data processing: Adjustment of educational content.

[1214] Output: Adjusted educational content.

[1215] Step 8:

[1216] The device receives the adjusted educational content and provides it to the user, who can then continue coloring based on the new information.

[1217] Input: Adjusted educational content.

[1218] Output: The adjusted coloring book content is displayed on the screen and the user can interact with it.

[1219] (Application example 2)

[1220] 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."

[1221] Educational content for young children is often difficult to understand, and it is difficult to attract their attention. Providing content that engages young children and allows them to learn is particularly important in educational settings and at home, but it is extremely difficult to tailor content to each child's emotions and interests. Furthermore, there is a need for technology that can analyze emotions in real time and optimize content appropriately while providing interactive content.

[1222] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1223] In this invention, the server includes means for receiving original content provided by a user, means for using a generative model to simplify the original content for young children, and means for automatically generating coloring-book-style learning content based on the simplified content. This makes it possible to provide content that is easy for young children to understand and that they can learn with interest. The server also includes means for delivering the automatically generated coloring-book-style learning content to a user's device, means for the device to recognize the user's emotions in real time using a camera and microphone and use an emotion engine to adjust the learning content based on that information, and means for providing an interface that allows the user to interactively use the coloring-book-style learning content via a touchscreen. This allows young children to learn while having fun, providing an optimal learning experience based on their individual emotions and interests.

[1224] "Means for receiving original content provided by the user" refers to a mechanism by which the server receives data such as text and image files entered by the user.

[1225] "Means using generative models to simplify original content for young children" refers to a system that uses machine learning models to convert complex sentences and difficult words into simple expressions that even young children can understand.

[1226] "Means for automatically generating learning content in the form of a coloring book based on simplified content" refers to a mechanism for creating visual teaching materials provided as coloring books based on text information converted into simple expressions.

[1227] "Means for delivering automatically generated learning content in the form of coloring books to users' devices" refers to a system in which coloring book content created by a server is sent via the Internet to devices such as tablets and PCs used by users.

[1228] "The device uses a camera and microphone to recognize the user's emotions in real time, and an emotion engine that adjusts the learning content based on that information" refers to a mechanism that uses the camera and microphone built into the device to analyze the user's facial expressions and tone of voice, and changes the learning content according to the user's emotional state.

[1229] "Means for providing an interface that allows users to interactively use coloring-style learning content via a touchscreen" refers to a system that uses a touchscreen on a tablet or smartphone to display an operation screen that allows users to learn while enjoying coloring.

[1230] This invention is a system that simplifies original content provided by users to make it easier for young children to use, and generates and distributes interactive coloring books. This system is implemented through the mutual cooperation of a server, terminals, an emotion engine, and users.

[1231] Server Processing

[1232] Receiving and facilitating content

[1233] The server receives the original content provided by the user, which may be text or image files containing information that the child is to learn.

[1234] After receiving the original content, the server uses a generative AI model (e.g., GPT-4) to simplify the content for young children, converting complex words into simpler terms, complex sentences into simpler sentences, and generating visual elements to complement the text information.

[1235] For example, if a user enters "information about lions," the server simplifies it to "lions are large cats that live in grasslands. Male lions have manes."

[1236] Coloring book content generation

[1237] The server generates related images based on the simplified content, extracts the outlines of those images, and creates learning content in the form of a coloring book. This automatically generates coloring books based on simplified explanations and commentary.

[1238] Distribution of coloring book content

[1239] The generated coloring content is delivered to the user's device, allowing the user's device to receive coloring content suitable for learning.

[1240] Emotion engine processing

[1241] Emotion Recognition and Content Adjustment

[1242] The emotion engine analyzes the user's facial expressions and tone of voice via a camera and microphone, recognizing their emotions in real time. Based on the recognized emotional data, it has the ability to adjust the content and difficulty of the learning content.

[1243] For example, if the emotion engine detects that a child is bored, the server will add more interesting information and images, providing an optimal learning experience tailored to each individual user's emotions.

[1244] Terminal handling

[1245] View content and learn interactively

[1246] The terminal displays the coloring content received from the server and provides an interface that allows users to use it interactively via a touch screen, allowing children to learn while having fun coloring.

[1247] The device also transmits emotion engine data to the server in real time, further personalizing the learning experience on the device.

[1248] Specific examples and prompts

[1249] Specific examples

[1250] When a user types "I want to learn information about lions," the server uses a generative AI model (e.g., GPT-4) to generate a simple description such as "Lions are big cats that live in grasslands. Male lions have manes."

[1251] The system then extracts the outline of a related image (e.g., a picture of a lion) and provides it as a coloring book. Children can enjoy coloring this book on their tablet device while learning. The device's built-in emotion engine also analyzes the child's reactions in real time and continues to provide the most appropriate content.

[1252] Prompt Sentence Examples

[1253] "Easily adapt the following content for young children:

[1254] Lions live in the grasslands and males have manes."

[1255] This system provides an environment where young children can acquire knowledge while having fun. Growth and learning progress is managed appropriately in real time, and content is optimized based on the user's emotions, resulting in a more effective learning experience.

[1256] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1257] Step 1:

[1258] Entering and receiving user-original content

[1259] The user inputs the original content they want to learn using their device. The original content can be text or image files. The device then sends this original content to the server. The server receives the original content provided by the user as input and records the data.

[1260] Specific actions

[1261] The user enters text into the input field.

[1262] The terminal transmits the input text data to the server.

[1263] The server receives the original content and stores it in a database.

[1264] Step 2:

[1265] Simplifying content

[1266] The server then uses a generative AI model (e.g., GPT-4) to simplify the received original content for young children. This is the process where the original content is input and the generative AI model outputs text that has been converted into simple language.

[1267] Specific actions

[1268] The server passes the received content to the generative AI model.

[1269] The generative AI model is fed a prompt in the form of "Please convert the following content into something suitable for young children."

[1270] A generative AI model (e.g., GPT-4) generates simplified content and returns it to the server.

[1271] Store the simplified content in a database.

[1272] Step 3:

[1273] Coloring book content generation

[1274] The server generates related images based on the simplified content and extracts the outlines of those images, generating learning content in the form of a coloring book. This process takes the simplified text and related images as input and outputs an outline image of the coloring book.

[1275] Specific actions

[1276] The server loads the simplified content and generates the relevant images.

[1277] Extract the outline of the image using an image processing library such as OpenCV.

[1278] The extracted outline images are converted into coloring book format and stored in a database.

[1279] Step 4:

[1280] Distribution of coloring book content

[1281] The server delivers the generated coloring book content to the user's terminal. In this step, the generated coloring book content is input, transmitted to the user's terminal, and received by the terminal is the output.

[1282] Specific actions

[1283] The server loads the generated coloring book content.

[1284] Coloring content is sent to the user's device via the network.

[1285] The device receives the coloring content and prepares it for display.

[1286] Step 5:

[1287] Emotion Recognition and Content Adjustment

[1288] Using the device's built-in camera and microphone, the emotion engine analyzes the user's facial expressions and voice to obtain emotional data in real time. Based on this emotional data, the server adjusts the content and difficulty of the learning content.

[1289] Specific actions

[1290] The device's camera captures the user's facial expression and the microphone records their voice.

[1291] The emotion engine analyzes this data and estimates the emotional state.

[1292] The estimated emotion data is sent to the server, which then adjusts the learning content.

[1293] The content will be rebalanced and the updated coloring content will be redistributed to your device.

[1294] Step 6:

[1295] Interactive learning experience

[1296] Users can enjoy coloring content while learning through the device's touchscreen, which reflects the user's actions in real time and receives feedback from the emotion engine.

[1297] Specific actions

[1298] The device displays the coloring content, and the user begins coloring on the touch screen.

[1299] The area where the user touches can be colored.

[1300] The user's reactions and actions are fed back to the emotion engine in real time.

[1301] If necessary, the server optimizes the content again and sends updated data to the terminal.

[1302] This series of processes creates an interactive educational environment that engages young children and allows them to learn in a fun and engaging way.

[1303] 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.

[1304] 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.

[1305] 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.

[1306] [Fourth embodiment]

[1307] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1308] 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.

[1309] 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).

[1310] 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.

[1311] 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.

[1312] 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).

[1313] 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.

[1314] 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.

[1315] 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.

[1316] 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.

[1317] 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.

[1318] 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.

[1319] 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."

[1320] This invention is a knowledge provision system for young children, which has a mechanism in which a server, a terminal, and a user work together. This system is implemented in the following way.

[1321] Server Processing

[1322] Receiving input

[1323] The server receives the original content sent by the user from the device. This content is material such as text and image files containing the information to be learned.

[1324] Simplifying content

[1325] The server uses a generative model to simplify the original content it receives for young children. A generative model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it replaces difficult words with simpler terms and converts complex sentence structures into simpler sentences. It also generates visual elements as needed. Visual elements are images, shapes, illustrations, and other visual elements that complement text information and aid understanding.

[1326] Coloring book content generation

[1327] The server automatically generates coloring-book-style learning content based on the simplified content. Coloring-book-style learning content is content provided as a coloring book that visually represents the learning content. Specifically, it generates related images based on simplified explanations and commentary, automatically extracts the outlines of those images, and converts them into a format suitable for coloring. This coloring book integrates learning elements and contains the knowledge and information to be learned.

[1328] Distribution of coloring book content

[1329] The server distributes the generated coloring content to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[1330] Terminal handling

[1331] Sending User Input

[1332] The terminal provides an interface for transmitting the original content input by the user to the server. The interface is an operation screen and an input device that the user uses to operate the system.

[1333] Receiving coloring content

[1334] The terminal receives the coloring content sent from the server, and is then ready to visually display the received coloring content.

[1335] Viewing the Interface

[1336] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[1337] User operations

[1338] Entering original content

[1339] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[1340] Use of coloring books

[1341] Users enjoy coloring by viewing the coloring content displayed on their device. While coloring, users (especially young children) naturally read and learn from simplified explanations. By coloring the pictures with their fingers or a stylus, they also acquire knowledge visually.

[1342] Specific examples

[1343] Example 1: Learning about animals

[1344] 1. User operations

[1345] A user enters the text "I want to learn information about lions."

[1346] 2. Server Processing

[1347] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[1348] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[1349] 3. Terminal Processing

[1350] The terminal receives the coloring content sent from the server and displays it on the screen.

[1351] 4. User Operation

[1352] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[1353] This system provides a learning environment that allows young children to acquire knowledge naturally while stimulating their interest.

[1354] The processing flow will be explained below.

[1355] Step 1:

[1356] The user uses an interface to input the information they want to learn and inputs the original content (text and images) into the device.

[1357] Step 2:

[1358] The terminal transmits the original content input by the user to the server.

[1359] Step 3:

[1360] The server receives the original content sent from the terminal.

[1361] Step 4:

[1362] The server inputs the received original content into a generative model and simplifies it for young children, converting complex words into simpler terms and complex sentences into simpler sentences.

[1363] Step 5:

[1364] The server generates relevant visual elements (images and illustrations) based on the simplified content.

[1365] Step 6:

[1366] The server extracts the outlines of the generated visual elements and automatically generates learning content in the form of a coloring book, with a simple explanation attached.

[1367] Step 7:

[1368] The server transmits the generated learning content in the form of a coloring book to the user's terminal.

[1369] Step 8:

[1370] The terminal receives the learning content in the form of a coloring book sent from the server and displays it on the screen.

[1371] Step 9:

[1372] The user (child) looks at the coloring book-style learning content displayed on the device and colors it using their finger or a stylus, progressing through the learning process in a natural way.

[1373] Example 1

[1374] 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."

[1375] Creating effective learning materials for young children is not easy. Currently, many learning materials contain language and complex content that is difficult for young children to understand, and appropriate simplification is required. Furthermore, visual elements are extremely important in capturing young children's interest, and information must be presented in an appealing format. Furthermore, a user-friendly interface that allows easy use of such materials is also required.

[1376] 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.

[1377] In this invention, the server includes a means for receiving original information provided by a user, a means for using a generative artificial intelligence model to simplify the original information for young children, and a means for automatically generating learning materials in the form of coloring books based on the simplified information, thereby making it possible to provide learning materials that are simple and visually appealing so that young children can learn with interest.

[1378] "User" refers to a person who uses this system.

[1379] "Original information" refers to data such as text and image files provided by users to create study materials.

[1380] A "generative artificial intelligence model" refers to a machine learning model that simplifies original information for young children.

[1381] "Simplification" refers to the process of changing difficult words into simpler ones or simplifying complex sentence structures.

[1382] "Coloring book-style learning materials" refers to learning content in the form of a coloring book that is automatically generated based on simplified information.

[1383] "Visual elements" refers to visual elements such as images, figures, and illustrations that complement text information and aid comprehension.

[1384] "Learning elements" refer to the knowledge and information to be learned, and the content contained in the coloring book-style learning materials.

[1385] An "information processing device" is a device that allows a user to use this system, such as a computer, smartphone, or tablet terminal.

[1386] An "input / output device" is a device that allows a user to input information or output results, such as a keyboard, mouse, or touch screen.

[1387] This invention is a system for providing knowledge to young children, and is realized by the cooperation of a server, a terminal, and a user. This system is specifically implemented in the following manner.

[1388] First, the user provides the original information they want to learn. This is done by using the device interface to input text or upload an image file. For example, the user might input, "I want to learn information about lions."

[1389] The device sends the original information entered to the server. This is done using an operation screen within a web application or mobile app. The device sends the information via an HTTP POST request, and the server receives it.

[1390] The server then simplifies the received original information using a generative AI model. The generative AI model used here uses a library that utilizes natural language processing (NLP) technology (e.g., OpenAI GPT-3). The server provides the model with prompts to convert the original information into a form that is easy for young children to understand.

[1391] For example, the original sentence "Lions are carnivores, not herbivores" is simplified to "Lions are animals that eat meat."

[1392] The server then generates learning materials in the form of a coloring book based on the simplified information. Here, an image generation library (e.g., OpenCV) is used to generate relevant images, extract their outlines, and convert them into a coloring book format. For example, based on the information about a lion, an image of a lion is generated, and its outline is extracted and converted into a coloring book.

[1393] The generated learning materials in the form of coloring books are delivered from the server to the device. The device visually displays the received coloring materials, allowing users to use them interactively. Specifically, a coloring image of a lion is displayed on the device, and children can color it using their fingers or a stylus.

[1394] Simplified explanations are displayed alongside the coloring pages, allowing young children to learn naturally. For example, the explanation might say, "Lions are large cats that live on grasslands. Male lions have manes."

[1395] This system provides a learning environment that allows young children to acquire knowledge naturally while stimulating their interest.

[1396] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1397] Step 1:

[1398] The user enters the original information using the device interface. For example, the user can enter the text "I want to learn about lions" or upload an image file of a lion. The interface provides text input fields and image upload functionality. The entered data is sent to the server via an HTTP POST request.

[1399] Step 2:

[1400] After receiving the original information provided by the user, the terminal sends it to the server through an HTTP request. The main role of the terminal is to properly forward the information provided by the user to the server. Specifically, it receives data including the user's text and images and sends them to the specified endpoint.

[1401] Step 3:

[1402] The server receives the original information sent from the device, including text content and image files. For example, the server receives the text entered by the user: "I want to learn about lions." The received data is temporarily stored in a database for use in the next processing step.

[1403] Step 4:

[1404] The server simplifies the received original information using a generative AI model. Specifically, a library that utilizes natural language processing (NLP) techniques (e.g., OpenAI GPT-3) is used. This model receives user-provided text as input and obtains simplified text as output. For example, the sentence "Lions are carnivores, not herbivores" is converted to "Lions are meat-eaters."

[1405] Step 5:

[1406] The server generates learning materials in the form of a coloring book based on the simplified text. This process uses an image generation library (e.g., OpenCV). Based on the simplified information, it generates a related image, extracts the outline of the image, and converts it into a coloring book format. For example, an image of a lion is generated and then processed into a coloring book format.

[1407] Step 6:

[1408] The server delivers the generated learning materials in coloring book format to the user's device. For this delivery, it sends the learning materials in coloring book format (e.g. PNG image file) to the device using an HTTP response. The received coloring book materials are visually displayed on the device.

[1409] Step 7:

[1410] The device receives learning materials in the form of coloring books from the server and displays them on the screen. The device then renders the received materials appropriately on the screen so that the user can use them interactively. Specifically, it displays a coloring book image of a lion, allowing the user to color it with their finger or a stylus.

[1411] Step 8:

[1412] Users can enjoy coloring learning materials displayed on their devices. While coloring, they can read and learn from the simplified explanations displayed. For example, while enjoying coloring a lion, they can understand the explanation that "lions are large cats that live on grasslands. Male lions have manes."

[1413] These steps allow users (especially young children) to acquire knowledge naturally while learning with interest.

[1414] (Application example 1)

[1415] 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."

[1416] Providing content that will pique young children's interest in learning is a challenge. Conventional learning systems have difficulty generating content that is appropriately simplified for young children, and lack interactive learning functions, making it difficult to keep young children's attention. Therefore, there is a need for a system that can automatically generate effective learning content that will allow young children to learn in a fun way and that can be used interactively via devices.

[1417] 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.

[1418] In this invention, the server includes a means for receiving original content provided by a user, a means for using a generation model to simplify the original content for young children, and a means for enabling interactive use of coloring-book-style learning content distributed to the terminal. This makes it possible to simplify the original content for young children, and then generate and distribute coloring-book-style learning content based on the simplified content. Furthermore, by interactively using the generated content, young children can learn effectively while having fun.

[1419] The "means for receiving original content provided by the user" is a mechanism for transmitting learning materials such as text and images entered by the user to the server.

[1420] "Means using generative models to simplify original content for young children" refers to a process that uses a generative AI model to convert difficult words and complex sentence structures into a form that is easy for young children to understand.

[1421] The "means for automatically generating learning content in the form of a coloring book based on simplified content" is a mechanism that uses simplified information to automatically generate educational content that can be used to learn in the form of a visual coloring book.

[1422] "Means for delivering automatically generated learning content in the form of a coloring book to a user's device" refers to the process of sending the generated educational content in the form of a coloring book to a device such as a user's smartphone or tablet.

[1423] "Means for transmitting content entered by the user to the server" refers to the interface or protocol that transmits the learning content desired by the user from the terminal to the server.

[1424] "Means for enabling interactive use of coloring book-style educational content delivered to a terminal" refers to an interface that allows a user to operate and interactively use coloring book-style educational content on a terminal.

[1425] "Means for generating simplified text, generating images based on the simplified text, and extracting the outlines of the images" refers to the process of using a generative AI model to create related images from simplified text, and then extracting the outlines of the images in a format that can be used as a coloring book.

[1426] "Means for adding visual elements" refers to techniques for adding visual elements such as images and figures to learning content to complement understanding.

[1427] "Means of integrating learning elements" refers to the process of incorporating specific learning points and information into the generated coloring book content.

[1428] "Means for providing an interface that makes it easy for users to input original content" refers to an operation screen or input device designed to allow users to intuitively input text and images.

[1429] The "means for displaying an interface that allows the user to use learning content in the form of a coloring book" refers to a screen or interface that displays the generated coloring book content so that the user can operate it while viewing it.

[1430] The "means for generating prompts to generate simplified content" is the process of creating appropriate prompts to input into a generative AI model to convert the original content into a content suitable for young children.

[1431] This invention is a system that automatically generates learning content for young children and provides it to users. The overall process is carried out in cooperation with three main elements: a server, a terminal, and a user.

[1432] Server Processing

[1433] Receiving input

[1434] The server receives the original content sent by the user from the device. This original content is material such as text or image files containing information to be learned.

[1435] Simplifying content

[1436] The server uses a generative AI model to simplify the received original content for young children. The generative AI model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it replaces difficult words with simpler terms and converts complex sentence structures into simpler sentences. It also generates visual elements as needed. For example, it uses prompt sentences like the following:

[1437] TXT

[1438] Please simplify the following sentences for young children:

[1439] Lions are big cats that live in grasslands. Male lions have manes.

[1440] Coloring book content generation

[1441] The server automatically generates learning content in the form of a coloring book based on the simplified content. This coloring content generates outline images that visually represent the learning content, allowing young children to learn while coloring them in.

[1442] Distribution of coloring book content

[1443] The server distributes the generated learning content in the form of a coloring book to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[1444] Terminal handling

[1445] Sending User Input

[1446] The terminal provides an interface for transmitting the original content entered by the user to the server.

[1447] Receiving coloring content

[1448] The terminal receives the coloring content sent from the server and prepares to display it.

[1449] Viewing the Interface

[1450] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[1451] User operations

[1452] Entering original content

[1453] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[1454] Use of coloring books

[1455] Users can enjoy coloring while viewing the coloring content displayed on the device. This allows young children to naturally understand the learning content and learn with interest. Specifically, for example, they can enjoy coloring a lion based on simplified text such as, "Lions are large cats that live on grasslands. Male lions have manes."

[1456] Hardware and software used

[1457] Hardware: smartphones, tablets, servers

[1458] Software: Android / iOS apps, server-side scripts (Python, Node.js, etc.), machine learning libraries (TensorFlow, PyTorch, etc.)

[1459] The system configured in this way allows young children to learn in a fun and effective way.

[1460] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1461] Step 1:

[1462] The user uses the device to input original content, which may include text or image files containing information the child wants to learn. The input data is collected through a user interface (e.g., text boxes and image upload buttons).

[1463] Step 2:

[1464] The device sends the original content entered by the user to the server. The entered text or image file is sent through an API endpoint that allows the server to receive the data appropriately. When sent, the input data is converted into an appropriate format (e.g., JSON format).

[1465] Step 3:

[1466] The server receives the original content sent by the user. The received data is pre-processed (e.g., text cleaning and filtering) to feed into a generative AI model. The input here is the original content, and the output is the pre-processed content.

[1467] Step 4:

[1468] The server uses a generative AI model to simplify the original content. Specifically, it inputs a prompt sentence into the generative AI model to convert the received sentence or image into a simple representation. An example of a prompt sentence is as follows:

[1469] TXT

[1470] Please simplify the following sentences for young children:

[1471] Lions are big cats that live in grasslands. Male lions have manes.

[1472] The generative AI model outputs simplified text based on this prompt. The input is the preprocessed content, and the output is the simplified content.

[1473] Step 5:

[1474] The server generates images based on the simplified text and extracts their outlines. The generated images are converted into coloring book format and provided as visual learning elements. The input is the simplified text, and the output is a coloring book format image.

[1475] Step 6:

[1476] The server delivers the generated learning content in the form of a coloring book to the user's device. The generated content is converted into an appropriate format (e.g., image file or PDF) and sent to the user's device.

[1477] Step 7:

[1478] The device receives the coloring content sent from the server and displays it so that the user can use it interactively. The received data is displayed on the screen, and the child can color it using their finger or a stylus.

[1479] Step 8:

[1480] Users can enjoy coloring and learning through the coloring content displayed on their device. They can perform interactive operations through the interface. Specifically, by selecting colors and shapes based on the learning content and completing the coloring, they can naturally absorb knowledge.

[1481] 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.

[1482] This invention is a knowledge provision system for young children, which has a mechanism in which a server, a terminal, a user, and an emotion engine work together. This system is implemented in the following way.

[1483] Server Processing

[1484] Receiving input

[1485] The server receives the original content sent by the user from the device. This content is material such as text and image files containing the information to be learned.

[1486] Simplifying content

[1487] The server uses a generative model to simplify the received original content for young children. A generative model is a machine learning model that converts the original content into simple, easy-to-understand expressions. Specifically, it converts difficult words into simpler terms and complex sentences into simpler sentences. It also generates visual elements as needed. Visual elements are images, shapes, illustrations, and other visual elements that complement text information and aid understanding.

[1488] Coloring book content generation

[1489] The server automatically generates coloring-book-style learning content based on the simplified content. Coloring-book-style learning content is content provided as a coloring book that visually represents the learning content. Specifically, it generates related images based on simplified explanations and commentary, automatically extracts the outlines of those images, and converts them into a format suitable for coloring. This coloring book integrates learning elements and contains the knowledge and information to be learned.

[1490] Distribution of coloring book content

[1491] The server distributes the generated coloring content to the user's device, allowing the device to provide content that is easy for children to learn and that will pique their interest.

[1492] Emotion engine processing

[1493] User Emotion Recognition

[1494] The emotion engine analyzes the user's facial expressions, tone of voice, etc. to recognize the user's emotions in real time. The emotion engine uses input devices such as a camera and microphone.

[1495] Adjusting content based on emotions

[1496] The emotion engine uses the emotional data it recognizes to adjust the content and difficulty of the learning content, for example, adding more engaging images or easier questions if the user is bored.

[1497] Recording and analyzing emotional data

[1498] The emotion engine records the user's emotion data and sends it to the server for use in later improving and personalizing learning content.

[1499] Terminal handling

[1500] Sending User Input

[1501] The terminal provides an interface for transmitting the original content input by the user to the server. The interface is an operation screen and an input device that the user uses to operate the system.

[1502] Receiving coloring content

[1503] The terminal receives the coloring content sent from the server, and is then ready to visually display the received coloring content.

[1504] Emotion engine data transmission

[1505] The device transmits emotion data from the emotion engine to the server, and also reflects the output of the emotion engine in real time on the server.

[1506] Viewing the Interface

[1507] The terminal displays the received coloring content on the screen, allowing the user to use it interactively.

[1508] User operations

[1509] Entering original content

[1510] Users input the original content they want to learn or have their children learn into the device, which can include entering text or uploading images.

[1511] Use of coloring books

[1512] Users enjoy coloring by viewing the coloring content displayed on their device. While coloring, users (especially young children) naturally read and learn from simplified explanations. By coloring the pictures with their fingers or a stylus, they also acquire knowledge visually.

[1513] Specific examples

[1514] Example 1: Learning about animals

[1515] 1. User operations

[1516] A user enters the text "I want to learn information about lions."

[1517] 2. Server Processing

[1518] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[1519] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[1520] 3. Emotion Engine Processing

[1521] The emotion engine recognizes whether a child is having fun from their facial expressions and voice.

[1522] If the emotion engine detects that the child is bored, the server adds more interesting information and images.

[1523] 4. Terminal Processing

[1524] The terminal receives the coloring content sent from the server and displays it on the screen.

[1525] 5. User Operations

[1526] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[1527] The system provides a learning environment that helps young children acquire knowledge naturally while keeping them interested, and its emotional engine monitors children's reactions in real time to optimize learning content.

[1528] The processing flow will be explained below.

[1529] Step 1:

[1530] Users input the information they want to learn through the device interface, and this original content includes text and images.

[1531] Step 2:

[1532] The terminal transmits the original content input by the user to the server.

[1533] Step 3:

[1534] The server receives the original content sent from the terminal.

[1535] Step 4:

[1536] The server inputs the received original content into a generative model and simplifies it for young children, converting complex words into simpler terms and complex sentences into simpler sentences.

[1537] Step 5:

[1538] The server generates relevant visual elements (images and illustrations) based on the simplified content. Visual elements include images, figures, and illustrations that complement the text information and aid comprehension.

[1539] Step 6:

[1540] The server extracts the outlines of the generated visual elements and automatically generates learning content in the form of a coloring book, with a simple explanation attached.

[1541] Step 7:

[1542] The server creates learning content in the form of a coloring book that integrates learning elements based on the simplified content and visual elements.

[1543] Step 8:

[1544] The server distributes the generated learning content in the form of a coloring book to the user's terminal.

[1545] Step 9:

[1546] The terminal receives the learning content in the form of a coloring book sent from the server and displays it on the screen.

[1547] Step 10:

[1548] Users (children) can enjoy coloring while viewing learning content in the form of coloring books displayed on the device. By coloring the pictures with their fingers or a stylus, they can also learn knowledge visually.

[1549] Step 11:

[1550] The emotion engine analyzes the user's facial expressions and tone of voice through a camera and microphone to recognize the user's emotions.

[1551] Step 12:

[1552] The emotion engine analyzes the user's emotion data in real time and transmits the information to the server.

[1553] Step 13:

[1554] The server adjusts the content and difficulty of the learning content based on the emotion data received from the emotion engine. For example, if the user is bored, it adds more attractive images or easier questions.

[1555] Step 14:

[1556] The server transmits the updated study content again to the user's terminal.

[1557] Step 15:

[1558] The terminal redisplays the updated learning content on the screen, allowing the user to continue using it interactively.

[1559] Step 16:

[1560] The emotion engine continues to monitor the user's emotions and sends new emotion data to the server as needed.

[1561] To give a specific example, in a scenario where "information about lions" is input as learning content, the process proceeds as follows:

[1562] Example: Animal learning

[1563] 1. Step 1: User enters text "I want to learn information about lions."

[1564] 2. Steps 3-6: The server simplifies the text, adds visual elements, and generates learning content in the form of a coloring book.

[1565] 3. Step 8: The server sends the generated content to the terminal.

[1566] 4. Step 10: The user (child) learns while enjoying coloring on the device.

[1567] 5. Steps 11-14: The emotion engine recognizes the user's emotions, and the server adjusts the learning content accordingly.

[1568] The system provides a learning environment that engages young children and allows them to acquire knowledge naturally, and its emotional engine monitors children's reactions in real time to optimize learning content.

[1569] Example 2

[1570] 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."

[1571] Conventional educational systems for young children have the problem that the level of difficulty and the way the information is presented is often inappropriate for children, making it easy for children to lose interest in learning. In addition, it is not possible to adjust the content in real time according to the emotions of each user, making it difficult to provide effective learning support.

[1572] 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.

[1573] In this invention, the server includes a means for receiving original information provided by a user, a means for using a generative model to simplify the original information for young children, and a means for automatically generating educational content in the form of a coloring book based on the simplified information. This allows for the provision of educational content at a level of difficulty appropriate for young children, enabling children to continue learning while maintaining their interest. Furthermore, by analyzing the user's facial expressions and voice using an emotion engine, the content and difficulty level of the content can be adjusted in real time, maximizing the learning effect for each child.

[1574] "Original information" refers to learning materials such as text, images, and audio provided by the user.

[1575] A "generative model" is a machine learning model that analyzes original information and converts it into a simpler, more understandable representation.

[1576] "Simplification" refers to converting complex words and expressions into simpler forms that even young children can understand.

[1577] "Coloring book-style educational content" is content that is in the form of a coloring book created based on learning materials, allowing children to learn while coloring.

[1578] A "device" is an electronic device that a user uses to enter information or display received content.

[1579] "Visual elements" are images, figures, illustrations, and other visual elements that complement text information and aid comprehension.

[1580] "Learning components" are elements of knowledge or information that are integrated into educational content.

[1581] An "interface" is an operation screen or input device that allows a user to operate the system.

[1582] An "emotion engine" is a program or system that analyzes a user's facial expressions and voice to recognize their emotions.

[1583] "Real time" refers to the time attribute in which processing is performed immediately and the results are reflected immediately.

[1584] This invention is a knowledge provision system for young children, which provides an environment in which young children can learn in a fun and effective way by having a server, terminals, users, and an emotion engine work together.

[1585] Hardware and Software Configuration

[1586] The servers are responsible for data processing and content generation. They are equipped with high-performance CPUs and GPUs, providing the computing power to process large amounts of data at high speed. They also have software installed to run generative AI models (such as GPT-3).

[1587] A terminal is a device operated by a user, and includes PCs, tablets, smartphones, etc. Terminals are equipped with internet connectivity and input devices such as cameras and microphones, allowing users to input content and display received educational content.

[1588] The emotion engine is a program that analyzes the user's facial expressions and voice to acquire emotional data. It analyzes data acquired from the camera and microphone and recognizes the user's emotions, such as whether they are enjoying themselves or feeling bored, in real time.

[1589] Data processing and calculation

[1590] The user inputs the information they want to learn through the device interface. For example, they might input "I want to learn information about lions" in text format.

[1591] The server receives the original information sent by the user. This information is then analyzed using a generative AI model. The generative model simplifies complex words and sentences for young children, converting them into simple, easy-to-understand expressions. This process generates sentences such as, "Lions are large cats that live on grasslands. Male lions have manes."

[1592] Based on the simplified information, the server automatically generates educational content in the form of a coloring book. Specifically, it extracts the outline of the generated lion illustration and generates an image file for coloring. This image file depicts the lion's characteristics as visual elements.

[1593] The generated coloring content is sent from the server to the device in real time. The device receives this content and displays it on the screen. Users (especially young children) can enjoy coloring the displayed coloring page while learning about lions.

[1594] The emotion engine analyzes the user's facial expressions and tone of voice to recognize emotions in real time. For example, if the server detects that the user is bored, it will incorporate more interesting information or additional visual elements into the content. This emotion data is sent to the server and reflected in the next content generation.

[1595] Use concrete examples and prompts

[1596] The operation of this system is explained using the following example.

[1597] Example 1: Learning about animals

[1598] 1. User operations

[1599] A user enters the following text: "I want to learn about lions. Please create a simple and easy to understand explanation and a lion coloring page."

[1600] 2. Server Processing

[1601] The server receives this text and uses a generative model to simplify it to "Lions are large cats that live on grasslands. Male lions have manes."

[1602] Based on the simplified information, the server generates a coloring book of a lion, including its body and characteristic mane.

[1603] 3. Emotion Engine Processing

[1604] The emotion engine recognizes whether a child is having fun from their facial expressions and voice.

[1605] If the emotion engine detects that the child is bored, the server adds more interesting information and images.

[1606] 4. Terminal Processing

[1607] The terminal receives the coloring content sent from the server and displays it on the screen.

[1608] 5. User Operations

[1609] Children can have fun coloring in the lion coloring page displayed on the device and learn about lions.

[1610] In this way, children can acquire knowledge naturally while being interested in the system.The emotion engine also monitors the user's reactions in real time and optimizes the learning content.

[1611] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1612] Step 1:

[1613] The user uses the device to input the information they want to learn. For example, they might input "I want to learn about lions" in text format. This input data is sent to the server as a prompt based on the user's intention.

[1614] Input: Text data entered by the user: "I want to learn about lions."

[1615] Output: Sends the prompt to the server.

[1616] Step 2:

[1617] The server processes the prompt received from the user and analyzes it using a generative AI model. Specifically, based on the prompt "I want to learn about lions," it generates relevant information. In this process, complex expressions and words are simplified.

[1618] Input: The prompt text sent by the user.

[1619] Data processing: Analysis of prompts and generation of information using a generative AI model.

[1620] Output: A simplified sentence such as "Lions are big cats that live in grasslands. Male lions have manes."

[1621] Step 3:

[1622] The server automatically generates educational content in the form of a coloring book based on the simplified text. The coloring content includes an outline of the lion's body and its characteristic mane. This image data is then converted into a format that can be displayed on the device.

[1623] Input: Simplified text.

[1624] Data calculation: Generate images and extract outlines to generate coloring book format image files.

[1625] Output: Coloring book format image file.

[1626] Step 4:

[1627] The server delivers the generated coloring content to the user's device in real time. This data is transmitted over the Internet and reaches the user's device.

[1628] Input: Coloring book format image file.

[1629] Output: Sending the coloring content to the user's device.

[1630] Step 5:

[1631] The device receives the coloring content sent from the server, and the received data is displayed on the device screen, ready for the user to use interactively.

[1632] Input: Coloring book content sent from the server.

[1633] Output: Screen display of coloring book content.

[1634] Step 6:

[1635] The emotion engine uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time to recognize emotional data. Based on this data, the server adjusts the content and difficulty of the educational content.

[1636] Input: User facial and voice data obtained from the camera and microphone.

[1637] Data computation: Analysis with emotion recognition algorithms.

[1638] Output: Emotion data.

[1639] Step 7:

[1640] The server receives the emotion data sent from the emotion engine and adjusts the educational content according to the user's emotion, for example, adding more interesting information if the user is bored.

[1641] Input: Emotion data sent from the emotion engine.

[1642] Data processing: Adjustment of educational content.

[1643] Output: Adjusted educational content.

[1644] Step 8:

[1645] The device receives the adjusted educational content and provides it to the user, who can then continue coloring based on the new information.

[1646] Input: Adjusted educational content.

[1647] Output: The adjusted coloring book content is displayed on the screen and the user can interact with it.

[1648] (Application example 2)

[1649] 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."

[1650] Educational content for young children is often difficult to understand, and it is difficult to attract their attention. Providing content that engages young children and allows them to learn is particularly important in educational settings and at home, but it is extremely difficult to tailor content to each child's emotions and interests. Furthermore, there is a need for technology that can analyze emotions in real time and optimize content appropriately while providing interactive content.

[1651] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1652] In this invention, the server includes means for receiving original content provided by a user, means for using a generative model to simplify the original content for young children, and means for automatically generating coloring-book-style learning content based on the simplified content. This makes it possible to provide content that is easy for young children to understand and that they can learn with interest. The server also includes means for delivering the automatically generated coloring-book-style learning content to a user's device, means for the device to recognize the user's emotions in real time using a camera and microphone and use an emotion engine to adjust the learning content based on that information, and means for providing an interface that allows the user to interactively use the coloring-book-style learning content via a touchscreen. This allows young children to learn while having fun, providing an optimal learning experience based on their individual emotions and interests.

[1653] "Means for receiving original content provided by the user" refers to a mechanism by which the server receives data such as text and image files entered by the user.

[1654] "Means using generative models to simplify original content for young children" refers to a system that uses machine learning models to convert complex sentences and difficult words into simple expressions that even young children can understand.

[1655] "Means for automatically generating learning content in the form of a coloring book based on simplified content" refers to a mechanism for creating visual teaching materials provided as coloring books based on text information converted into simple expressions.

[1656] "Means for delivering automatically generated learning content in the form of coloring books to users' devices" refers to a system in which coloring book content created by a server is sent via the Internet to devices such as tablets and PCs used by users.

[1657] "The device uses a camera and microphone to recognize the user's emotions in real time, and an emotion engine that adjusts the learning content based on that information" refers to a mechanism that uses the camera and microphone built into the device to analyze the user's facial expressions and tone of voice, and changes the learning content according to the user's emotional state.

[1658] "Means for providing an interface that allows users to interactively use coloring-style learning content via a touchscreen" refers to a system that uses a touchscreen on a tablet or smartphone to display an operation screen that allows users to learn while enjoying coloring.

[1659] This invention is a system that simplifies original content provided by users to make it easier for young children to use, and generates and distributes interactive coloring books. This system is implemented through the mutual cooperation of a server, terminals, an emotion engine, and users.

[1660] Server Processing

[1661] Receiving and facilitating content

[1662] The server receives the original content provided by the user, which may be text or image files containing information that the child is to learn.

[1663] After receiving the original content, the server uses a generative AI model (e.g., GPT-4) to simplify the content for young children, converting complex words into simpler terms, complex sentences into simpler sentences, and generating visual elements to complement the text information.

[1664] For example, if a user enters "information about lions," the server simplifies it to "lions are large cats that live in grasslands. Male lions have manes."

[1665] Coloring book content generation

[1666] The server generates related images based on the simplified content, extracts the outlines of those images, and creates learning content in the form of a coloring book. This automatically generates coloring books based on simplified explanations and commentary.

[1667] Distribution of coloring book content

[1668] The generated coloring content is delivered to the user's device, allowing the user's device to receive coloring content suitable for learning.

[1669] Emotion engine processing

[1670] Emotion Recognition and Content Adjustment

[1671] The emotion engine analyzes the user's facial expressions and tone of voice via a camera and microphone, recognizing their emotions in real time. Based on the recognized emotional data, it has the ability to adjust the content and difficulty of the learning content.

[1672] For example, if the emotion engine detects that a child is bored, the server will add more interesting information and images, providing an optimal learning experience tailored to each individual user's emotions.

[1673] Terminal handling

[1674] View content and learn interactively

[1675] The terminal displays the coloring content received from the server and provides an interface that allows users to use it interactively via a touch screen, allowing children to learn while having fun coloring.

[1676] The device also transmits emotion engine data to the server in real time, further personalizing the learning experience on the device.

[1677] Specific examples and prompts

[1678] Specific examples

[1679] When a user types "I want to learn information about lions," the server uses a generative AI model (e.g., GPT-4) to generate a simple description such as "Lions are big cats that live in grasslands. Male lions have manes."

[1680] The system then extracts the outline of a related image (e.g., a picture of a lion) and provides it as a coloring book. Children can enjoy coloring this book on their tablet device while learning. The device's built-in emotion engine also analyzes the child's reactions in real time and continues to provide the most appropriate content.

[1681] Prompt Sentence Examples

[1682] "Easily adapt the following content for young children:

[1683] Lions live in the grasslands and males have manes."

[1684] This system provides an environment where young children can acquire knowledge while having fun. Growth and learning progress is managed appropriately in real time, and content is optimized based on the user's emotions, resulting in a more effective learning experience.

[1685] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1686] Step 1:

[1687] Entering and receiving user-original content

[1688] The user inputs the original content they want to learn using their device. The original content can be text or image files. The device then sends this original content to the server. The server receives the original content provided by the user as input and records the data.

[1689] Specific actions

[1690] The user enters text into the input field.

[1691] The terminal transmits the input text data to the server.

[1692] The server receives the original content and stores it in a database.

[1693] Step 2:

[1694] Simplifying content

[1695] The server then uses a generative AI model (e.g., GPT-4) to simplify the received original content for young children. This is the process where the original content is input and the generative AI model outputs text that has been converted into simple language.

[1696] Specific actions

[1697] The server passes the received content to the generative AI model.

[1698] The generative AI model is fed a prompt in the form of "Please convert the following content into something suitable for young children."

[1699] A generative AI model (e.g., GPT-4) generates simplified content and returns it to the server.

[1700] Store the simplified content in a database.

[1701] Step 3:

[1702] Coloring book content generation

[1703] The server generates related images based on the simplified content and extracts the outlines of those images, generating learning content in the form of a coloring book. This process takes the simplified text and related images as input and outputs an outline image of the coloring book.

[1704] Specific actions

[1705] The server loads the simplified content and generates the relevant images.

[1706] Extract the outline of the image using an image processing library such as OpenCV.

[1707] The extracted outline images are converted into coloring book format and stored in a database.

[1708] Step 4:

[1709] Distribution of coloring book content

[1710] The server delivers the generated coloring book content to the user's terminal. In this step, the generated coloring book content is input, transmitted to the user's terminal, and received by the terminal is the output.

[1711] Specific actions

[1712] The server loads the generated coloring book content.

[1713] Coloring content is sent to the user's device via the network.

[1714] The device receives the coloring content and prepares it for display.

[1715] Step 5:

[1716] Emotion Recognition and Content Adjustment

[1717] Using the device's built-in camera and microphone, the emotion engine analyzes the user's facial expressions and voice to obtain emotional data in real time. Based on this emotional data, the server adjusts the content and difficulty of the learning content.

[1718] Specific actions

[1719] The device's camera captures the user's facial expression and the microphone records their voice.

[1720] The emotion engine analyzes this data and estimates the emotional state.

[1721] The estimated emotion data is sent to the server, which then adjusts the learning content.

[1722] The content will be rebalanced and the updated coloring content will be redistributed to your device.

[1723] Step 6:

[1724] Interactive learning experience

[1725] Users can enjoy coloring content while learning through the device's touchscreen, which reflects the user's actions in real time and receives feedback from the emotion engine.

[1726] Specific actions

[1727] The device displays the coloring content, and the user begins coloring on the touch screen.

[1728] The area where the user touches can be colored.

[1729] The user's reactions and actions are fed back to the emotion engine in real time.

[1730] If necessary, the server optimizes the content again and sends updated data to the terminal.

[1731] This series of processes creates an interactive educational environment that engages young children and allows them to learn in a fun and engaging way.

[1732] 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.

[1733] 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.

[1734] 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.

[1735] 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.

[1736] 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.

[1737] 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.

[1738] 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).

[1739] 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.

[1740] 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."

[1741] 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.

[1742] 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).

[1743] 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.

[1744] 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.

[1745] 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.

[1746] 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.

[1747] 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.

[1748] 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.

[1749] 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.

[1750] 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.

[1751] 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.

[1752] 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.

[1753] The following is further disclosed regarding the above embodiment.

[1754] (Claim 1)

[1755] means for receiving original content provided by a user;

[1756] a means of using a generative model to simplify the original content for young children;

[1757] A means for automatically generating learning content in a coloring book format based on the simplified content;

[1758] A system including a means for delivering automatically generated learning content in the form of a coloring book to a user's terminal.

[1759] (Claim 2)

[1760] A means for adding visual elements to the simplified content;

[1761] 10. The system of claim 1, further comprising means for integrating learning elements into the generated learning content in the form of a coloring book.

[1762] (Claim 3)

[1763] means for providing an interface that facilitates user input of original content;

[1764] 10. The system according to claim 1, further comprising means for displaying an interface for a user to use learning content in a coloring book format.

[1765] "Example 1"

[1766] (Claim 1)

[1767] means for receiving the original information provided by the user;

[1768] a means using a generative artificial intelligence model to simplify the original information for a young child;

[1769] A means for automatically generating learning materials in the form of coloring books based on the simplified information;

[1770] A system including a means for delivering automatically generated learning materials in the form of coloring books to a user's information processing device.

[1771] (Claim 2)

[1772] a means for adding visual elements to the simplified information;

[1773] 10. The system of claim 1, further comprising means for integrating learning elements into the generated learning material in the form of a coloring book.

[1774] (Claim 3)

[1775] means for providing an input / output device that facilitates the user's input of original information;

[1776] 10. The system of claim 1, further comprising means for displaying an input / output device for a user to access learning materials in the form of a coloring book.

[1777] "Application Example 1"

[1778] (Claim 1)

[1779] means for receiving original content provided by a user;

[1780] a means of using a generative model to simplify the original content for young children;

[1781] A means for automatically generating learning content in a coloring book format based on the simplified content;

[1782] A means for delivering automatically generated learning content in the form of a coloring book to a user's device;

[1783] means for transmitting user-entered content to a server;

[1784] A means for enabling interactive use of coloring book-style learning content delivered to the device;

[1785] A means of generating simplified text, generating images based on it, and extracting their outlines

[1786] A system including:

[1787] (Claim 2)

[1788] A means for adding visual elements to the simplified content;

[1789] 10. The system of claim 1, further comprising means for integrating learning elements into the generated learning content in the form of a coloring book.

[1790] (Claim 3)

[1791] means for providing an interface that facilitates user input of original content;

[1792] means for displaying an interface for allowing a user to use learning content in a coloring book format;

[1793] A means of generating prompts that generate simplified content

[1794] 10. The system of claim 1, comprising:

[1795] "Example 2: Combining Emotion Engines"

[1796] (Claim 1)

[1797] means for receiving the original information provided by the user;

[1798] A method using a generative model to simplify the original information for young children;

[1799] A means for automatically generating educational content in the form of a coloring book based on simplified information;

[1800] means for delivering automatically generated educational content in the form of a coloring book to a user's device;

[1801] A means of recognizing emotions by analyzing the user's facial expressions and voice;

[1802] A means for adjusting the content and difficulty of educational content based on the recognized emotion data;

[1803] A system including:

[1804] (Claim 2)

[1805] a means for adding visual elements to the simplified information;

[1806] 10. The system of claim 1, further comprising means for integrating a learning component into the generated educational content in the form of a coloring book.

[1807] (Claim 3)

[1808] means for providing an interface that facilitates the user's input of original information;

[1809] 10. The system of claim 1, further comprising means for displaying an interface for a user to access educational content in the form of a coloring book.

[1810] "Application example 2 when combining emotion engines"

[1811] (Claim 1)

[1812] means for receiving original content provided by a user;

[1813] a means of using a generative model to simplify the original content for young children;

[1814] A means for automatically generating learning content in a coloring book format based on the simplified content;

[1815] A means for delivering automatically generated learning content in the form of a coloring book to a user's device;

[1816] The device uses a camera and a microphone to recognize the user's emotions in real time, and uses an emotion engine to adjust learning content based on that information;

[1817] A system including a means for providing an interface that allows a user to interactively use learning content in the form of a coloring book via a touch screen.

[1818] (Claim 2)

[1819] A means for adding visual elements to the simplified content;

[1820] 10. The system of claim 1, further comprising means for integrating learning elements into the generated learning content in the form of a coloring book.

[1821] (Claim 3)

[1822] means for providing an interface that facilitates user input of original content;

[1823] means for displaying an interface for allowing a user to use learning content in a coloring book format;

[1824] 10. The system of claim 1, further comprising means for analyzing emotions in real time and optimizing learning content based on the results. [Explanation of symbols]

[1825] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for receiving original content provided by a user; a means of using a generative model to simplify the original content for young children; A means for automatically generating learning content in a coloring book format based on the simplified content; A system including a means for delivering automatically generated learning content in the form of a coloring book to a user's terminal.

2. A means for adding visual elements to the simplified content; The system according to claim 1 , further comprising means for integrating learning elements into the generated learning content in the form of a coloring book.

3. means for providing an interface that facilitates user input of original content; The system according to claim 1 , further comprising means for displaying an interface for a user to use learning content in a coloring book format.

Images