System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting a historical event or character that a user wishes to learn and a display format; means for transmitting the input information to a server; server means for retrieving information about the historical event or character from a database; generating means for generating a story according to a specified display format based on the retrieved information; means for transmitting the generated story to a terminal; and means for displaying the transmitted story to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Many people struggle to memorize history and forget it immediately after the test. Learning history as a story makes it easier to understand and remember, but existing learning methods don't allow users to learn the story in a way that suits their preferences. This creates a need for a learning experience that allows users to learn history in their preferred format and continues to learn in an enjoyable way. [Means for solving the problem]

[0005] This invention allows users to learn history in a format that suits their preferences through a system that includes: means for inputting historical events and people that a user wants to learn about and a display format; means for transmitting the input information to a server; server means for searching a database for information about the historical events and people; means for generating a story based on the searched information in a specified display format; means for transmitting the generated story to a terminal; and means for displaying the transmitted story to the user. This system allows users to learn history in a format that suits their preferences by experiencing it as a story, which promotes understanding and memory retention and provides an enjoyable learning experience.

[0006] "User" refers to the learner who uses the system or the entity who inputs information.

[0007] "Historical events" are concrete occurrences such as important incidents or battles that actually occurred in the past.

[0008] A "person" is an individual who played an important role in history.

[0009] "Display format" refers to the type of learning method the user prefers, such as comic or audio format.

[0010] "Input means" refers to the interface or device through which a user provides information to a system.

[0011] "Means of sending" refers to the communication means for transferring the user's input information to the server.

[0012] A "server" is a computer system that receives and processes information from users.

[0013] A "database" is a collection of data that stores information about historical events and people.

[0014] "Searching means" refers to the process of identifying and retrieving specific information from a database.

[0015] "Generation means" refers to the function of creating a story in a specified display format based on the searched information.

[0016] "Transmission means" refers to a communication means for transferring the created story to a terminal.

[0017] "Means for displaying" refers to means that allow a user to visually or audibly confirm the generated story.

[0018] A "terminal" is a device through which a user can input information and view generated stories. [Brief explanation of the drawings]

[0019] [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

[0020] 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.

[0021] First, the terms used in the following description will be explained.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 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.

[0030] 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).

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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."

[0040] This invention is a system that automatically generates and displays a story when the user specifies a historical event or person and selects the format in which they want to learn about it (for example, manga or audio). Below is the actual program processing flow of this system and a specific example.

[0041] User Input

[0042] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[0043] Sending input data from the terminal

[0044] The device (the user's smartphone or computer) converts this input data into an appropriate format (for example, JSON format) and sends it to the server. The transmitted data may be in the following format:

[0045] json

[0046] {

[0047] "theme": "Battle of Sekigahara",

[0048] "format": "manga"

[0049] }

[0050] Server database search

[0051] The server analyzes the received data, identifies the theme (the Battle of Sekigahara) and the format (manga), and searches the database for information and characters related to the Battle of Sekigahara. For example, it retrieves information about Tokugawa Ieyasu and Ishida Mitsunari, who are the main characters.

[0052] Server Story Generation

[0053] Based on the data acquired by the server, a story generation AI model is used to generate a manga-style story. This AI model generates images and text based on the acquired data, and then organizes them into a manga-style story.

[0054] Story generation and output

[0055] The generated manga story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[0056] json

[0057] {

[0058] "story": [

[0059] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0060] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0061] ]

[0062] }

[0063] View user stories

[0064] The device analyzes the received story data and displays it to the user, who can then use the device's interface to view the displayed manga and learn about the Battle of Sekigahara.

[0065] Specific examples

[0066] For example, if a user specifies, "I want to learn about the Battle of Sekigahara through manga," the process will proceed through the following steps:

[0067] 1. User: Enter "Battle of Sekigahara" and "manga" in the dedicated application.

[0068] 2. Terminal: Sends input data in JSON format to the server.

[0069] 3. Server: Analyzes the received data and searches the database for information about the Battle of Sekigahara.

[0070] 4. Server: The search data is input into the AI ​​model and a comic-style story is generated.

[0071] 5. Server: Sends the generated story in JSON format to the device.

[0072] 6. Terminal: Analyzes the story data and displays it to the user in comic form.

[0073] 7. User: Read manga on their device and learn about the Battle of Sekigahara.

[0074] This makes it easier for users to learn history in a format that suits their preferences, and also promotes memory retention.

[0075] The processing flow will be explained below.

[0076] Step 1:

[0077] Users input the historical events or people they want to learn about and the display format. For example, a user specifies "The Battle of Sekigahara" and "Manga."

[0078] Step 2:

[0079] The terminal converts the input information into an appropriate data format (for example, JSON format). Create data in the following format:

[0080] json

[0081] {

[0082] "theme": "Battle of Sekigahara",

[0083] "format": "manga"

[0084] }

[0085] Step 3:

[0086] The terminal then sends the converted data to the server, typically using HTTPS as the communication protocol.

[0087] Step 4:

[0088] The server analyzes the received data and identifies the theme and display format specified by the user.

[0089] Step 5:

[0090] The server searches the database for information related to the specified topic (the Battle of Sekigahara), using SQL-like search queries to retrieve data about relevant events and people.

[0091] sql

[0092] SELECT FROM history_data WHERE event = 'Battle of Sekigahara'

[0093] Step 6:

[0094] The server organizes the retrieved information and prepares it as input for the story generation AI model, including creating a list of characters and a timeline of events.

[0095] Step 7:

[0096] The server inputs the organized data into an AI model, which generates a story in the format (manga) specified by the user. The AI ​​model combines images and text to create a story in the specified format.

[0097] Step 8:

[0098] The generated story is converted back into JSON format and sent to the device in the following format:

[0099] json

[0100] {

[0101] "story": [

[0102] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0103] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0104] ]

[0105] }

[0106] Step 9:

[0107] The device analyzes the received data and prepares an interface to display to the user, such as providing the ability to swipe through the pages of a comic book.

[0108] Step 10:

[0109] Users can use the device interface to view the generated manga-style story, making it an enjoyable way to learn about the history of the Battle of Sekigahara.

[0110] This specific processing flow allows users to learn history in a format that suits their preferences, leading to a deeper understanding and solidification of memories.

[0111] Example 1

[0112] 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."

[0113] With conventional learning systems, it was difficult for users to efficiently learn about history and people that they were interested in. Furthermore, the time and cost required to generate content according to the desired learning format was high, making it difficult to provide instantly customized learning materials. As a result, users often lost motivation to learn.

[0114] 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.

[0115] In this invention, the server includes means for inputting events or people that a user wants to learn about and a display format, means for converting the input information into a data format and sending it to the server, means for searching for information about the events or people from a database, means for generating a story in accordance with a specified display format using a generative AI model, means for converting the generated story into a data format and sending it to a terminal, and means for displaying the sent story to the user. This allows the user to instantly obtain customized learning materials that have been automatically generated based on their input.

[0116] A "user" is an individual or group of people who use the system to select the events or people they want to learn about and enter the appropriate display format.

[0117] An "incident" is a historical or other significant event or occurrence that a user selects to study.

[0118] A "person" is a specific individual that the user selects to study, who has played an important role in history or other fields.

[0119] "Display format" refers to the way the user chooses to present the learning material, such as comic book format or audio format.

[0120] "Input means" refers to the interface that allows users to input the events or people to be studied and the display format into the system.

[0121] A "data format" is the standardized digital format in which the entered information is sent to the server, such as JSON.

[0122] "Transmission means" refers to the communication protocol and method for converting the input data into an appropriate format and transmitting it to the server.

[0123] A "database" is a digital storage system that stores information about events and people.

[0124] A "searching means" is an algorithm or function for extracting information related to a specified event or person from a database.

[0125] A "generative AI model" is an artificial intelligence technology that generates a story in a specified display format based on input data.

[0126] A "terminal" is a device such as a computer or smartphone that allows a user to operate the system and view generated learning materials.

[0127] This invention is a system that allows users to input events or people they want to learn about and study them in a specified display format. Specifically, the user uses a dedicated application or web interface to input the event or person to be studied and the display format. For example, if a user wants to study "historical battles" in "manga format," the user enters "historical battles" and "manga" in the application's input fields.

[0128] First, the device (the smartphone or computer used by the user) converts this input data into JSON format and sends it to the server. The data sent may be in the following format:

[0129] json

[0130] {

[0131] "theme": "Historic Battle",

[0132] "format": "manga"

[0133] }

[0134] The server then analyzes the received data, identifying the theme (historical battles) and presentation format (manga). The server then searches its database for information related to the specified theme, such as information about major characters and events.

[0135] Based on the data acquired by the server, a generative AI model is used to generate a story in the specified display format. This AI model generates images and text related to the specified theme and organizes them into a comic-style story.

[0136] The generated comic story is converted back to JSON format and sent to the device. The data sent may be in the following format:

[0137] json

[0138] {

[0139] "story": [

[0140] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0141] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0142] ]

[0143] }

[0144] The device analyzes the received story data and displays it to the user in comic form based on that data. The user can then use the device's interface to view the displayed comic and learn about the specified topic. This system allows users to view stories that match their interests and a format that is easy to learn, improving learning efficiency.

[0145] As a concrete example, consider the case where a user wants to learn about historical battles in manga format. The user enters "historical battle" and "manga" into the application and presses the send button. The device converts the input data into JSON format and sends it to the server. The server receives this data and searches for relevant information in a database. The server then inputs the data into a generative AI model to generate a story in manga format. The generated story is converted into JSON format and sent to the device, allowing the user to view the learning material in manga format.

[0146] Example prompt sentence:

[0147] Theme: Historical Battles

[0148] Format: Manga

[0149] Provide detailed information about a historical battle and depict it in comic form. The main characters are listed as "Main Characters." The first page should introduce them briefly, and the next page should depict the main battle scenes.

[0150] In this way, the present invention allows users to learn about history and other important events in a format that suits their interests, which has the effect of increasing motivation to learn.

[0151] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0152] Step 1:

[0153] User Input

[0154] Using a dedicated application or web interface, users input the events or people they want to learn about and the display format. Specifically, users enter "historical battle" and "manga" into the application's input fields and press the submit button. This input provides the system with the user's learning goal and desired display format.

[0155] Step 2:

[0156] Sending input data from the terminal

[0157] The terminal receives the user's input data and converts it into JSON format. Specifically, the terminal converts the input data into the following JSON format:

[0158] Input: "historical battle", format: "manga"

[0159] output:

[0160] json

[0161] {

[0162] "theme": "Historic Battle",

[0163] "format": "manga"

[0164] }

[0165] The device sends the converted JSON data to the server using an HTTP POST request.

[0166] Step 3:

[0167] Server database search

[0168] The server parses the received JSON data and identifies the subject (historical battle) and the presentation format (manga). Based on this data parsing, the server starts searching for relevant information from its database.

[0169] input:

[0170] json

[0171] {

[0172] "theme": "Historic Battle",

[0173] "format": "manga"

[0174] }

[0175] output:

[0176] The appropriate information is retrieved from the database. Specifically, the server executes an SQL query to extract records related to "historical battles" from the database.

[0177] Step 4:

[0178] Server Story Generation

[0179] The server generates a prompt based on the retrieved information and passes it to the generative AI model. Specifically, the server generates the following prompt:

[0180] Theme: Historical Battles

[0181] Format: Manga

[0182] Provide detailed information about a historical battle and depict it in comic form. The main characters are listed as "Main Characters." The first page should introduce them briefly, and the next page should depict the main battle scenes.

[0183] Input: prompt statement and search data

[0184] Output: A comic-style story (multiple images and text) obtained from the generative AI model

[0185] The server inputs this prompt into the AI ​​model and generates a story in the specified format.

[0186] Step 5:

[0187] Story generation and output

[0188] The generated comic-style story is converted into JSON format on the server and sent to the device.

[0189] Input: Story data obtained from a generative AI model

[0190] output:

[0191] json

[0192] {

[0193] "story": [

[0194] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0195] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0196] ]

[0197] }

[0198] The server sends this story data to the terminal as an HTTP response.

[0199] Step 6:

[0200] View user stories

[0201] The device parses the received JSON data and displays it to the user in comic form. Specifically, the device downloads images from the specified URL and displays them in the user interface. The user can learn about the specified topic while viewing the comic on the device.

[0202] Input: Story data (JSON format)

[0203] Output: Learning materials displayed in comic format

[0204] This allows the user to study efficiently.

[0205] (Application example 1)

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

[0207] In conventional learning methods, there were limited ways for users to effectively learn about historical events and people according to their interests. In particular, there were few systems that provided the information users wanted to learn in a specified format, which led to issues such as low learning efficiency and low retention of memory.

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

[0209] In this invention, the server includes means for inputting information events or people that a user wants to learn about and a display format, means for transmitting the input data to the server, server means for searching a database for data related to the information events or people, generation means for generating content based on the searched data in a specified display format, means for transmitting the generated content to a terminal, and means for displaying the transmitted content to the user, thereby enabling users to efficiently learn history in a format that interests them.

[0210] "User" refers to an individual who uses the System to input information they wish to learn and view the generated content.

[0211] "Information events" refer to historical events and data related to those events.

[0212] "People" refers to specific historical figures and data related to those figures.

[0213] "Display format" refers to the format of the content specified by the user, and includes formats such as images, audio, and video.

[0214] "Input Data" refers to the information events or people a user wishes to learn about and the data in a display format that the user inputs into the system.

[0215] "Server" refers to a central computing device that receives input data, retrieves information from a database, and generates content.

[0216] A "database" refers to a source of information in which data about information events or people is accumulated and stored in a searchable form.

[0217] "Server means" refers to the functionality of the server to receive input data and retrieve relevant information from a database.

[0218] "Content" refers to the information generated by the server about events or people that users want to learn about, and is data generated in accordance with a specified display format.

[0219] "Generation means" refers to a method or process for generating content based on retrieved data in accordance with a specified display format.

[0220] "Terminal" means a device used by a User to display Generated Content.

[0221] "Display Means" refers to the method or process by which content generated on a device is visually or audibly presented to a user.

[0222] MODE FOR CARRYING OUT THE INVENTION

[0223] This invention is a system that automatically generates and displays relevant content by allowing users to specify the informational events or people they want to learn about and select a display format. Specific implementation methods for this system are described below.

[0224] System Overview

[0225] The server includes the following means:

[0226] 1. A means for users to input the events or people they want to learn about and the format in which they want to view them.

[0227] 2. A means for transmitting the input data to a server.

[0228] 3. Server means for retrieving data relating to the informational events and people from a database.

[0229] 4. A generating means for generating content in accordance with a specified display format based on the retrieved data.

[0230] 5. A means for transmitting the generated content to a terminal.

[0231] 6. Means for displaying said transmitted content to the user.

[0232] Program processing explanation

[0233] The server first receives input from the user, including the historical events or people the user wants to learn about and the desired display format (e.g., image, audio, video). This input data is sent to the server in a standard format, such as JSON.

[0234] The server analyzes the received input data and searches for related information from the database. The server extracts data corresponding to the events or people specified by the user from the historical data and information on people stored in the database. This search process can be performed using database queries such as SQL.

[0235] The server then uses a generative AI model to generate content based on the extracted data. The generative AI model converts the data into images, audio, video, etc. according to the specified display format. For example, if a user specifies that they want to learn about a historical battle in "image" format, the generative AI model will generate images of the relevant battle scenes and characters.

[0236] The generated content is then converted back to JSON format and sent to the user's device, where it is analyzed and displayed appropriately.

[0237] Hardware and software used

[0238] Hardware

[0239] Server: The core device that processes data and runs generative AI models.

[0240] Device: The device used by the user (smartphone, tablet, computer, etc.).

[0241] software

[0242] Database management system (e.g., MySQL, PostgreSQL): Stores and retrieves data.

[0243] Generative AI models (e.g. TensorFlow, PyTorch): generate content in a specified format.

[0244] Data format conversion tools (e.g., JSON libraries): Convert input data or generated content.

[0245] Specific examples

[0246] Example 1

[0247] If a user requests to learn about the Battle of Sekigahara in "image" format, the following happens:

[0248] 1. The user uses the terminal to input "Battle of Sekigahara" and an "image."

[0249] 2. Convert the input data into JSON format and send it to the server.

[0250] 3. The server searches the database for information about the Battle of Sekigahara.

[0251] 4. Use generative AI models to generate content in the form of images.

[0252] 5. Send the generated image content to the device.

[0253] 6. The device displays the received image to the user.

[0254] Example 2

[0255] If a user requests to learn "famous people in modern history" in "audio" format, the following happens:

[0256] 1. The user uses the terminal to input the name of a famous person in modern history and their voice.

[0257] 2. Convert the input data into JSON format and send it to the server.

[0258] 3. The server searches the database for information about "famous people in modern history."

[0259] 4. Use generative AI models to generate audio content.

[0260] 5. The generated audio content is sent to the device.

[0261] 6. The device plays the received audio to the user.

[0262] Prompt Sentence Examples

[0263] Story Generation:

[0264] Theme: Battle of Sekigahara

[0265] Format: Image

[0266] This allows users to efficiently learn knowledge in a format that interests them.

[0267] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0268] Step 1:

[0269] The user uses a device to input the informational events or people they want to learn about, as well as the desired display format. The input information includes a "theme" (e.g., "Battle of Sekigahara") and a "format" (e.g., "manga" or "audio"). The "theme" and "format" are converted into JSON format as input data.

[0270] Input: User input (Battle of Sekigahara, manga)

[0271] Output: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[0272] Step 2:

[0273] The terminal sends the generated JSON formatted input data to the server. This sending process is performed using an HTTP POST request, and the destination URL specifies the server address.

[0274] Input: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[0275] Output: HTTP POST request to the server

[0276] Step 3:

[0277] The server analyzes the received JSON-formatted input data, extracts the "theme" and "format," and generates a database search query based on the extracted information. It then executes this query to search the database for relevant historical information.

[0278] Input: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[0279] Output: Database search query and search result data (information about the Battle of Sekigahara)

[0280] Step 4:

[0281] The server generates data to input into the generative AI model based on the search result data. The generative AI model receives a prompt sentence corresponding to the retrieved historical information and display format. The prompt sentence specifies the theme and format of the story to be generated.

[0282] Input: Search result data (information about the Battle of Sekigahara)

[0283] Output: Input data (prompt sentence) to the generative AI model

[0284] Step 5:

[0285] The server generates content using a generative AI model. The generative AI model generates a story according to a specified format (e.g., manga or audio). The generated content is output as an image or audio file.

[0286] Input: Input data (prompt sentence) to the generative AI model

[0287] Output: The generated content (e.g., a manga image file)

[0288] Step 6:

[0289] The server converts the generated content back into JSON format and sends it to the terminal. The transmitted data includes the URL and metadata of the generated content.

[0290] Input: Generated content (e.g., comic book image files)

[0291] Output: Content data in JSON format ({"story": [{"page": 1, "image_url": "http: / / example.com / page1.png"}]})

[0292] Step 7:

[0293] The device analyzes the received JSON content data and displays it in the appropriate format for the user. For example, if it is in comic format, it will display multiple images in order. If it is in audio format, it will play an audio file.

[0294] Input: JSON format content data ({"story": [{"page": 1, "image_url": "http: / / example.com / page1.png"}]})

[0295] Output: The content that is displayed to the user (e.g., a comic page, an audio file played, etc.)

[0296] 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.

[0297] This invention is a system that allows users to specify historical events or people, select the format in which they want to learn about them (for example, manga or audio), and combines this with an emotion engine that recognizes the user's emotions to optimize the learning experience. Below is the actual program processing flow of this system and a specific example.

[0298] User Input

[0299] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[0300] Sending input data from the terminal

[0301] The terminal converts the input information into an appropriate data format (for example, JSON format) and sends it to the server. The sent data may be in the following format:

[0302] json

[0303] {

[0304] "theme": "Battle of Sekigahara",

[0305] "format": "manga"

[0306] }

[0307] Server database search

[0308] The server analyzes the received data, determines the theme and display format specified by the user, and then searches the database for information and characters related to the Battle of Sekigahara. For example, it retrieves information about the main characters, Tokugawa Ieyasu and Ishida Mitsunari.

[0309] Server Story Generation

[0310] Based on the data acquired by the server, a story generation AI model is used to generate a manga-style story. This AI model generates images and text based on the acquired data and then organizes them into a manga-style story.

[0311] Emotion Engine Operation

[0312] The emotion engine analyzes the user's facial expressions, voice, and operation actions in real time, and determines the user's emotional state and learning progress based on the results of this analysis.

[0313] Story generation and dynamic adjustment

[0314] The generated story is dynamically adjusted based on feedback from the emotion engine, for example, speeding up the story if the user is excited, or lowering the difficulty if the user is losing focus.

[0315] Story output

[0316] The adjusted story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[0317] json

[0318] {

[0319] "story": [

[0320] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0321] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0322] ]

[0323] }

[0324] View user stories

[0325] The device analyzes the received story data and prepares an interface to display it to the user, such as providing a function to swipe through the pages of a manga. The user uses this interface to view the story of the Battle of Sekigahara in manga format, adjusted by emotion recognition.

[0326] Specific examples

[0327] For example, if a user selects "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that their concentration is declining while they are studying, the difficulty of the story will be automatically lowered. By viewing the adjusted content, the user can continue to study with interest.

[0328] This specific processing flow allows users to have an optimal learning experience in a format that suits their preferences and is emotionally attuned to their needs, leading to deeper understanding and retention.

[0329] The processing flow will be explained below.

[0330] Step 1:

[0331] Users input the historical events or people they want to learn about and the display format. For example, a user specifies "The Battle of Sekigahara" and "Manga."

[0332] Step 2:

[0333] The terminal converts the input information into an appropriate data format (for example, JSON format). Create data in the following format:

[0334] json

[0335] {

[0336] "theme": "Battle of Sekigahara",

[0337] "format": "manga"

[0338] }

[0339] Step 3:

[0340] The terminal then sends the converted data to the server, typically using HTTPS as the communication protocol.

[0341] Step 4:

[0342] The server analyzes the received data and identifies the theme and display format specified by the user.

[0343] Step 5:

[0344] The server searches the database for information related to the specified topic (the Battle of Sekigahara), using SQL-like search queries to retrieve data about relevant events and people.

[0345] sql

[0346] SELECT FROM history_data WHERE event = 'Battle of Sekigahara'

[0347] Step 6:

[0348] The server organizes the retrieved information and prepares it as input for the story generation AI model, including creating a list of characters and a timeline of events.

[0349] Step 7:

[0350] The server inputs the organized data into an AI model, which generates a story in the format (manga) specified by the user. The AI ​​model combines images and text to create a story in the specified format.

[0351] Step 8:

[0352] The emotion engine analyzes the user's facial expressions, voice, and operation actions in real time, and determines the user's emotional state and learning progress based on the results of this analysis.

[0353] Step 9:

[0354] Based on feedback from the emotion engine, the server dynamically adjusts the generated story, for example, speeding up the story if the user is excited, or lowering the difficulty if the user is losing focus.

[0355] Step 10:

[0356] The adjusted story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[0357] json

[0358] {

[0359] "story": [

[0360] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0361] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0362] ]

[0363] }

[0364] Step 11:

[0365] The device analyzes the received data and prepares an interface to display to the user, such as providing the ability to swipe through the pages of a comic book.

[0366] Step 12:

[0367] Using the device interface, users can view the generated story, which is tailored by the emotion engine, and learn about the Battle of Sekigahara.

[0368] Specific examples

[0369] For example, if a user selects "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that their concentration is declining while they are studying, the difficulty of the story will be automatically lowered. By viewing the adjusted content, the user can continue to study with interest.

[0370] This specific processing flow allows users to have an optimal learning experience in a format that suits their preferences and is emotionally attuned to their needs, leading to deeper understanding and retention.

[0371] Example 2

[0372] 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."

[0373] Traditional learning systems lack the flexibility to allow users to individually select the historical content they want to learn. Furthermore, they do not dynamically adjust to accommodate the user's emotional state or loss of concentration while learning, which reduces learning effectiveness. In particular, because the display format is fixed, learning in a format that does not suit the user's preferences often reduces effectiveness.

[0374] 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.

[0375] In this invention, the server includes a means for a user to input a historical event or person that the user wants to learn about and a display format, a means for transmitting the input information to the server, and a means for searching for information about the historical event or person from a database, thereby enabling the user to study a specific historical topic in a display format of their choice.

[0376] The server further includes a generation AI model means for generating a story in a specified display format based on the searched information, an emotion engine means for recognizing the user's emotional state by analyzing the user's facial expressions, voice, and operation actions, and a means for dynamically adjusting the generated story based on feedback from the emotion engine means, thereby appropriately adjusting the learning content according to the user's emotional state and concentration level, providing an optimal learning experience.

[0377] Definitions of important words

[0378] A "User" is any person or entity that uses the Learning System to obtain information about historical events or people.

[0379] A "server" is a computing device that stores, retrieves, and processes data and provides information in response to user requests.

[0380] "Display format" refers to the form of information display that the user chooses to learn (e.g., text, comics, audio).

[0381] "Input method" refers to the interface (e.g., keyboard, touchscreen, voice input) through which the user inputs the content to be learned and the format in which it is displayed into the system.

[0382] "Means for sending" refers to a communication method for sending the information entered by the user to the server via a network.

[0383] A "database" is an electronic data repository that contains information about historical events and people.

[0384] A "searching means" is a method or device for retrieving information from a database based on specified conditions.

[0385] A "generative AI model means" is an artificial intelligence model for generating stories, images, sounds, etc. suitable for a specified display format.

[0386] The "emotion engine means" is a technology that analyzes the user's facial expressions, voice, operating actions, etc. to determine the user's emotional state and concentration level.

[0387] The "dynamic adjustment means" is a method or device for changing or adjusting the generated story or display content in real time based on feedback from the emotion engine means.

[0388] A "means for displaying" is an interface for appropriately presenting the generated or adjusted story to the user.

[0389] MODE FOR CARRYING OUT THE INVENTION

[0390] This invention is a system that allows users to specify historical events or people, select the format in which they want to learn about them (e.g., manga or audio), and combines it with an emotion engine that recognizes the user's emotions to optimize the learning experience. This invention uses the following hardware and software:

[0391] Hardware and software used

[0392] Device: The device that the user uses as an interface, such as a smartphone, tablet, or PC.

[0393] Server: A server for storing, retrieving, and processing data.

[0394] Database: A data repository that stores information about historical events and people.

[0395] Generative AI models: Artificial intelligence models that generate stories, images, audio, etc. appropriate for a specified display format (e.g., GPT, DALL-E)

[0396] Emotion engine: Technology that analyzes the user's facial expressions, voice, and operating actions to determine the user's emotional state and level of concentration.

[0397] System Configuration and Operation

[0398] User Input

[0399] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[0400] Sending input data from the terminal

[0401] The terminal converts the information entered by the user into an appropriate data format (for example, JSON format) and sends it to the server via the network. If the transmission is successful, the terminal displays the message "Sending data..." to the user.

[0402] Server database search

[0403] The server analyzes the received data, extracts the specified theme and display format, and then accesses its internal database to search for related information and characters, such as detailed data on Tokugawa Ieyasu and Ishida Mitsunari.

[0404] Server Story Generation

[0405] The server uses the acquired data to generate a manga-style story using a generative AI model. Specifically, the AI ​​model generates an image of Tokugawa Ieyasu and prepares corresponding text. The resulting output is as follows:

[0406] Page 1: "The Battle of Sekigahara Begins..."

[0407] Image URL: "http: / / example.com / page1.png"

[0408] Page 2: "Tokugawa Ieyasu's Strategy..."

[0409] Image URL: "http: / / example.com / page2.png"

[0410] Emotion Engine Operation

[0411] The emotion engine captures and analyzes the user's facial expressions, voice, and operating actions in real time through the device's camera and microphone. For example, if the user is smiling, it will recognize that they are "having fun," and if they look tired, it will determine that they are "not concentrating."

[0412] Story generation and dynamic adjustment

[0413] Based on feedback from the emotion engine, the server dynamically adjusts the content of the story. If the user is enjoying the story, it speeds up the story, and if the user's concentration is declining, it lowers the difficulty. For example, the server may omit parts of the story or simplify explanations.

[0414] Story output

[0415] The adjusted story is then converted back into a digital format and sent to the device, which receives the data and displays it in a dedicated interface. The user can enjoy the story by swiping left and right to turn the pages as they read the manga.

[0416] Specific examples

[0417] If a user types in "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that the user's concentration is declining while learning, the server will automatically adjust the difficulty of the story by simplifying the explanations and slowing down the storytelling.

[0418] Prompt Sentence Examples

[0419] "I want to learn about the Battle of Sekigahara in manga format. I also want the story to speed up when I'm excited and the difficulty to decrease when my concentration wanes."

[0420] In this way, users can get the best learning experience in a format that suits their preferences and emotionally responsive.

[0421] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0422] Specific flow of system program processing

[0423] Step 1:

[0424] Using the application or web interface, the user inputs the historical event or person they want to learn about and the display format—for example, selecting "Battle of Sekigahara" and "manga" format—which then becomes the basis for the next processing step.

[0425] Step 2:

[0426] The terminal receives the user's input data and converts it into an appropriate data format (e.g., JSON format). JSON example:

[0427] json

[0428] {

[0429] "theme": "Battle of Sekigahara",

[0430] "format": "manga"

[0431] }

[0432] The terminal then sends this data to the server over the network. The input data is the user's request, and the output data is the JSON data sent to the server.

[0433] Step 3:

[0434] The server analyzes the received JSON data and identifies the theme and display format. For example, the server retrieves "Battle of Sekigahara" from the "theme" field and "manga" from the "format" field. The results of this analysis become the input data for the next step.

[0435] Step 4:

[0436] Based on the data analyzed by the server, related information is searched from the database. For example, information related to the Battle of Sekigahara and character data (Tokugawa Ieyasu, Ishida Mitsunari, etc.) are obtained. The input data is the analysis results, and the output data is related information and character data.

[0437] Step 5:

[0438] Based on the information acquired by the server, a generative AI model is used to generate a manga-style story. The generative AI model uses the acquired information as input data and generates manga stories and images as output data. Specific outputs include:

[0439] Page 1: "The Battle of Sekigahara Begins..."

[0440] Image URL: "http: / / example.com / page1.png"

[0441] Page 2: "Tokugawa Ieyasu's Strategy..."

[0442] Image URL: "http: / / example.com / page2.png"

[0443] Step 6:

[0444] The emotion engine captures and analyzes the user's facial expressions, voice, and operating actions in real time. The input data is the user's state from the camera and microphone, and the output data is the user's emotional state (e.g., enjoying themselves, losing concentration). This data is used in the next adjustment step.

[0445] Step 7:

[0446] The server dynamically adjusts the generated story based on feedback from the emotion engine. For example, if the user is enjoying the story, it speeds up the story, and if the user's concentration is declining, it simplifies the explanation. The input data is the emotion engine's feedback, and the output data is the adjusted story.

[0447] Step 8:

[0448] The server converts the adjusted story back into JSON format and sends it to the device. Example:

[0449] json

[0450] {

[0451] "story": [

[0452] {"page": 1, "image_url": "http: / / example.com / page1.png", "text": "The beginning of the Battle of Sekigahara..."},

[0453] {"page": 2, "image_url": "http: / / example.com / page2.png", "text": "Tokugawa Ieyasu's Strategy..."}

[0454] ]

[0455] }

[0456] The input data is the adapted story, and the output data is the JSON data to be sent.

[0457] Step 9:

[0458] The device analyzes the received JSON data and displays it in a dedicated user interface. Specifically, the pages of the manga are displayed on the screen, and the user can turn the pages by swiping left and right. The input data is the received JSON data, and the output data is the interface displayed to the user.

[0459] Step 10:

[0460] The user browses the displayed content and progresses with their learning. Through stories optimized according to the user's emotional state, deeper understanding and retention of the information can be achieved. The input data is the displayed story, and the output data is the user's learning results.

[0461] (Application example 2)

[0462] 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."

[0463] Current learning systems lack the ability to dynamically adjust content based on the user's emotional state and learning progress, which can lead to problems such as users losing interest and concentration, and making it difficult to personalize and optimize the learning experience for each individual user.

[0464] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state in real time, means for adjusting the difficulty level and pace of the story based on the analyzed emotional state, and means for transmitting the generated and adjusted story to the terminal. This makes it possible to dynamically adjust the learning content according to the user's emotional state and provide an optimal learning experience for each individual user.

[0465] "Users" refer to ordinary consumers who use the system or application to learn about historical events and people.

[0466] "Historical events" refer to events, battles, political upheavals, etc. that actually occurred in the past.

[0467] "Person" refers to an individual associated with a historical event, such as a politician, military officer, or thinker.

[0468] "Display format" refers to the way in which the learning content is presented that the user selects, and includes formats such as comics and audio.

[0469] A "server" refers to a remote computer system that receives input from users and performs processes such as database searches, story generation, and emotional state analysis.

[0470] A "database" refers to a collection of information that stores information about historical events and people.

[0471] A "story" is a series of generated content based on the historical events or people that users are trying to learn about.

[0472] "Generation means" refers to a system or technology that creates a story based on information retrieved from a database, based on user input.

[0473] "Emotional state" refers to the psychological state inferred from the user's facial expressions, voice, operating actions, etc.

[0474] An "emotion engine" refers to technology and algorithms for analyzing a user's emotional state in real time.

[0475] "Adjustment methods" refers to technologies and systems that dynamically change the difficulty and pace of a story based on data obtained from the emotion engine.

[0476] "Terminal" refers to a device used by a user to view learning content, including smartphones, head-mounted displays, etc.

[0477] "Transmission means" refers to the technology and protocols used to send the generated story and adjustments from the server to the device.

[0478] The present invention is a system for optimizing the process by which a user learns about historical events and people. Specific embodiments for carrying out the invention are described below.

[0479] First, a user uses a dedicated application or web interface to input the historical events or people they want to learn about, as well as the display format, and this input information is sent to the server.

[0480] The server analyzes the user's input and searches the database for relevant data. Based on the information retrieved, a generative AI model is used to generate a story according to the specified display format. In this case, the generative AI model is used to create a story that combines images and text.

[0481] Next, the server's built-in emotion engine analyzes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, voice, and operating actions to determine their level of concentration and interest. Based on this data, the difficulty level and pace of the story are adjusted. For example, if the engine determines that the user's concentration is declining while studying, the difficulty level of the story will automatically be adjusted lower.

[0482] The adjusted story is then sent back to the device from the server. This data is interpreted by the user's device and displayed to the user. The user can view the adjusted learning content using a device such as a smartphone or head-mounted display.

[0483] The specific hardware and software used by the server includes a generative AI model, an emotion engine, and libraries for processing HTTP requests (e.g., requests).

[0484] For example, if a user specifies "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that the user's concentration is declining while studying, the server will automatically adjust the difficulty of the story to a lower level to keep the user interested.

[0485] An example prompt might look like this:

[0486] A user wants to learn about the Battle of Sekigahara in a manga format. Dynamically adjust the story based on their emotional state (distraction or excitement) during the lesson.

[0487] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0488] Step 1:

[0489] Using a dedicated application or web interface, users input the historical events or people they want to learn about, as well as the display format they want to see—for example, "The Battle of Sekigahara" and "Manga"—and this information is converted into JSON-formatted data.

[0490] Input: User-entered historical events, people, and display formats

[0491] Output: Data converted to JSON format

[0492] Specific operation: User inputs information on the application screen → Input information is converted to JSON format

[0493] Step 2:

[0494] The device sends the entered information in JSON format to the server, which receives it and parses it appropriately.

[0495] Input: Input information in JSON format

[0496] Output: Data sent to the server

[0497] Specific operation: The device sends an HTTP POST request → The server receives the data and begins analyzing it.

[0498] Step 3:

[0499] Based on the data received by the server, it searches the database for related information, such as information about characters and events related to the Battle of Sekigahara.

[0500] Input: Input data received by the server

[0501] Output: Relevant information retrieved from the database

[0502] Specific operation: The server executes a database query to obtain relevant information.

[0503] Step 4:

[0504] Based on the data acquired by the server, a generative AI model is used to generate a story, for example, creating a comic book-style story.

[0505] Input: Relevant information retrieved from the database

[0506] Output: The story generated by the generative AI model

[0507] Specific operation: The server inputs data into the generated AI model → The model generates images and text → A comic-style story is created

[0508] Step 5:

[0509] The emotion engine analyzes the user's facial expressions, voice, and operating actions in real time to determine the user's emotional state and level of concentration.

[0510] Input: User facial expression, voice, and operation data

[0511] Output: Judgment result of user's emotional state and concentration level

[0512] Specific operation: The emotion engine collects data from the camera and microphone → the analysis algorithm determines the emotional state

[0513] Step 6:

[0514] The generated and analyzed stories are adjusted based on the emotional state, for example, reducing the difficulty of the story if concentration levels decrease.

[0515] Input: User's emotional state and concentration level judgment results, output of the generative AI model

[0516] Output: Adjusted story

[0517] Specific operation: The server adjusts the difficulty and pace of the story → generates the adjusted story

[0518] Step 7:

[0519] The server sends the adjusted story to the device, which receives the data and displays it to the user.

[0520] Input: Adjusted story

[0521] Output: The story sent to your device

[0522] Specific operation: The server sends data via an HTTP POST request → The device receives the data and analyzes it as display data

[0523] Step 8:

[0524] The device displays the tailored story to the user, who then views the story.

[0525] Input: Story sent to device

[0526] Output: The story the user sees

[0527] Specific operation: The device prepares the interface for displaying the story → The user views the story

[0528] This is the specific processing flow of the invention. This system allows users to have an optimal learning experience that is tailored to their emotional state and learning progress.

[0529] 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.

[0530] 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.

[0531] 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.

[0532] [Second embodiment]

[0533] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0534] 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.

[0535] 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).

[0536] 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.

[0537] 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.

[0538] 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).

[0539] 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.

[0540] 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.

[0541] 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.

[0542] 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.

[0543] 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.

[0544] 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."

[0545] This invention is a system that automatically generates and displays a story when the user specifies a historical event or person and selects the format in which they want to learn about it (for example, manga or audio). Below is the actual program processing flow of this system and a specific example.

[0546] User Input

[0547] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[0548] Sending input data from the terminal

[0549] The device (the user's smartphone or computer) converts this input data into an appropriate format (for example, JSON format) and sends it to the server. The transmitted data may be in the following format:

[0550] json

[0551] {

[0552] "theme": "Battle of Sekigahara",

[0553] "format": "manga"

[0554] }

[0555] Server database search

[0556] The server analyzes the received data, identifies the theme (the Battle of Sekigahara) and the format (manga), and searches the database for information and characters related to the Battle of Sekigahara. For example, it retrieves information about Tokugawa Ieyasu and Ishida Mitsunari, who are the main characters.

[0557] Server Story Generation

[0558] Based on the data acquired by the server, a story generation AI model is used to generate a manga-style story. This AI model generates images and text based on the acquired data, and then organizes them into a manga-style story.

[0559] Story generation and output

[0560] The generated manga story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[0561] json

[0562] {

[0563] "story": [

[0564] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0565] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0566] ]

[0567] }

[0568] View user stories

[0569] The device analyzes the received story data and displays it to the user, who can then use the device's interface to view the displayed manga and learn about the Battle of Sekigahara.

[0570] Specific examples

[0571] For example, if a user specifies, "I want to learn about the Battle of Sekigahara through manga," the process will proceed through the following steps:

[0572] 1. User: Enter "Battle of Sekigahara" and "manga" in the dedicated application.

[0573] 2. Terminal: Sends input data in JSON format to the server.

[0574] 3. Server: Analyzes the received data and searches the database for information about the Battle of Sekigahara.

[0575] 4. Server: The search data is input into the AI ​​model and a comic-style story is generated.

[0576] 5. Server: Sends the generated story in JSON format to the device.

[0577] 6. Terminal: Analyzes the story data and displays it to the user in comic form.

[0578] 7. User: Read manga on their device and learn about the Battle of Sekigahara.

[0579] This makes it easier for users to learn history in a format that suits their preferences, and also promotes memory retention.

[0580] The processing flow will be explained below.

[0581] Step 1:

[0582] Users input the historical events or people they want to learn about and the display format. For example, a user specifies "The Battle of Sekigahara" and "Manga."

[0583] Step 2:

[0584] The terminal converts the input information into an appropriate data format (for example, JSON format). Create data in the following format:

[0585] json

[0586] {

[0587] "theme": "Battle of Sekigahara",

[0588] "format": "manga"

[0589] }

[0590] Step 3:

[0591] The terminal then sends the converted data to the server, typically using HTTPS as the communication protocol.

[0592] Step 4:

[0593] The server analyzes the received data and identifies the theme and display format specified by the user.

[0594] Step 5:

[0595] The server searches the database for information related to the specified topic (the Battle of Sekigahara), using SQL-like search queries to retrieve data about relevant events and people.

[0596] sql

[0597] SELECT FROM history_data WHERE event = 'Battle of Sekigahara'

[0598] Step 6:

[0599] The server organizes the retrieved information and prepares it as input for the story generation AI model, including creating a list of characters and a timeline of events.

[0600] Step 7:

[0601] The server inputs the organized data into an AI model, which generates a story in the format (manga) specified by the user. The AI ​​model combines images and text to create a story in the specified format.

[0602] Step 8:

[0603] The generated story is converted back into JSON format and sent to the device in the following format:

[0604] json

[0605] {

[0606] "story": [

[0607] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0608] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0609] ]

[0610] }

[0611] Step 9:

[0612] The device analyzes the received data and prepares an interface to display to the user, such as providing the ability to swipe through the pages of a comic book.

[0613] Step 10:

[0614] Users can use the device interface to view the generated manga-style story, making it an enjoyable way to learn about the history of the Battle of Sekigahara.

[0615] This specific processing flow allows users to learn history in a format that suits their preferences, leading to a deeper understanding and solidification of memories.

[0616] Example 1

[0617] 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."

[0618] With conventional learning systems, it was difficult for users to efficiently learn about history and people that they were interested in. Furthermore, the time and cost required to generate content according to the desired learning format was high, making it difficult to provide instantly customized learning materials. As a result, users often lost motivation to learn.

[0619] 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.

[0620] In this invention, the server includes means for inputting events or people that a user wants to learn about and a display format, means for converting the input information into a data format and sending it to the server, means for searching for information about the events or people from a database, means for generating a story in accordance with a specified display format using a generative AI model, means for converting the generated story into a data format and sending it to a terminal, and means for displaying the sent story to the user. This allows the user to instantly obtain customized learning materials that have been automatically generated based on their input.

[0621] A "user" is an individual or group of people who use the system to select the events or people they want to learn about and enter the appropriate display format.

[0622] An "incident" is a historical or other significant event or occurrence that a user selects to study.

[0623] A "person" is a specific individual that the user selects to study, who has played an important role in history or other fields.

[0624] "Display format" refers to the way the user chooses to present the learning material, such as comic book format or audio format.

[0625] "Input means" refers to the interface that allows users to input the events or people to be studied and the display format into the system.

[0626] A "data format" is the standardized digital format in which the entered information is sent to the server, such as JSON.

[0627] "Transmission means" refers to the communication protocol and method for converting the input data into an appropriate format and transmitting it to the server.

[0628] A "database" is a digital storage system that stores information about events and people.

[0629] A "searching means" is an algorithm or function for extracting information related to a specified event or person from a database.

[0630] A "generative AI model" is an artificial intelligence technology that generates a story in a specified display format based on input data.

[0631] A "terminal" is a device such as a computer or smartphone that allows a user to operate the system and view generated learning materials.

[0632] This invention is a system that allows users to input events or people they want to learn about and study them in a specified display format. Specifically, the user uses a dedicated application or web interface to input the event or person to be studied and the display format. For example, if a user wants to study "historical battles" in "manga format," the user enters "historical battles" and "manga" in the application's input fields.

[0633] First, the device (the smartphone or computer used by the user) converts this input data into JSON format and sends it to the server. The data sent may be in the following format:

[0634] json

[0635] {

[0636] "theme": "Historic Battle",

[0637] "format": "manga"

[0638] }

[0639] The server then analyzes the received data, identifying the theme (historical battles) and presentation format (manga). The server then searches its database for information related to the specified theme, such as information about major characters and events.

[0640] Based on the data acquired by the server, a generative AI model is used to generate a story in the specified display format. This AI model generates images and text related to the specified theme and organizes them into a comic-style story.

[0641] The generated comic story is converted back to JSON format and sent to the device. The data sent may be in the following format:

[0642] json

[0643] {

[0644] "story": [

[0645] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0646] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0647] ]

[0648] }

[0649] The device analyzes the received story data and displays it to the user in comic form based on that data. The user can then use the device's interface to view the displayed comic and learn about the specified topic. This system allows users to view stories that match their interests and a format that is easy to learn, improving learning efficiency.

[0650] As a concrete example, consider the case where a user wants to learn about historical battles in manga format. The user enters "historical battle" and "manga" into the application and presses the send button. The device converts the input data into JSON format and sends it to the server. The server receives this data and searches for relevant information in a database. The server then inputs the data into a generative AI model to generate a story in manga format. The generated story is converted into JSON format and sent to the device, allowing the user to view the learning material in manga format.

[0651] Example prompt sentence:

[0652] Theme: Historical Battles

[0653] Format: Manga

[0654] Provide detailed information about a historical battle and depict it in comic form. The main characters are listed as "Main Characters." The first page should introduce them briefly, and the next page should depict the main battle scenes.

[0655] In this way, the present invention allows users to learn about history and other important events in a format that suits their interests, which has the effect of increasing motivation to learn.

[0656] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0657] Step 1:

[0658] User Input

[0659] Using a dedicated application or web interface, users input the events or people they want to learn about and the display format. Specifically, users enter "historical battle" and "manga" into the application's input fields and press the submit button. This input provides the system with the user's learning goal and desired display format.

[0660] Step 2:

[0661] Sending input data from the terminal

[0662] The terminal receives the user's input data and converts it into JSON format. Specifically, the terminal converts the input data into the following JSON format:

[0663] Input: "historical battle", format: "manga"

[0664] output:

[0665] json

[0666] {

[0667] "theme": "Historic Battle",

[0668] "format": "manga"

[0669] }

[0670] The device sends the converted JSON data to the server using an HTTP POST request.

[0671] Step 3:

[0672] Server database search

[0673] The server parses the received JSON data and identifies the subject (historical battle) and the presentation format (manga). Based on this data parsing, the server starts searching for relevant information from its database.

[0674] input:

[0675] json

[0676] {

[0677] "theme": "Historic Battle",

[0678] "format": "manga"

[0679] }

[0680] output:

[0681] The appropriate information is retrieved from the database. Specifically, the server executes an SQL query to extract records related to "historical battles" from the database.

[0682] Step 4:

[0683] Server Story Generation

[0684] The server generates a prompt based on the retrieved information and passes it to the generative AI model. Specifically, the server generates the following prompt:

[0685] Theme: Historical Battles

[0686] Format: Manga

[0687] Provide detailed information about a historical battle and depict it in comic form. The main characters are listed as "Main Characters." The first page should introduce them briefly, and the next page should depict the main battle scenes.

[0688] Input: prompt statement and search data

[0689] Output: A comic-style story (multiple images and text) obtained from the generative AI model

[0690] The server inputs this prompt into the AI ​​model and generates a story in the specified format.

[0691] Step 5:

[0692] Story generation and output

[0693] The generated comic-style story is converted into JSON format on the server and sent to the device.

[0694] Input: Story data obtained from a generative AI model

[0695] output:

[0696] json

[0697] {

[0698] "story": [

[0699] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0700] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0701] ]

[0702] }

[0703] The server sends this story data to the terminal as an HTTP response.

[0704] Step 6:

[0705] View user stories

[0706] The device parses the received JSON data and displays it to the user in comic form. Specifically, the device downloads images from the specified URL and displays them in the user interface. The user can learn about the specified topic while viewing the comic on the device.

[0707] Input: Story data (JSON format)

[0708] Output: Learning materials displayed in comic format

[0709] This allows the user to study efficiently.

[0710] (Application example 1)

[0711] 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."

[0712] In conventional learning methods, there were limited ways for users to effectively learn about historical events and people according to their interests. In particular, there were few systems that provided the information users wanted to learn in a specified format, which led to issues such as low learning efficiency and low retention of memory.

[0713] 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.

[0714] In this invention, the server includes means for inputting information events or people that a user wants to learn about and a display format, means for transmitting the input data to the server, server means for searching a database for data related to the information events or people, generation means for generating content based on the searched data in a specified display format, means for transmitting the generated content to a terminal, and means for displaying the transmitted content to the user, thereby enabling users to efficiently learn history in a format that interests them.

[0715] "User" refers to an individual who uses the System to input information they wish to learn and view the generated content.

[0716] "Information events" refer to historical events and data related to those events.

[0717] "People" refers to specific historical figures and data related to those figures.

[0718] "Display format" refers to the format of the content specified by the user, and includes formats such as images, audio, and video.

[0719] "Input Data" refers to the information events or people a user wishes to learn about and the data in a display format that the user inputs into the system.

[0720] "Server" refers to a central computing device that receives input data, retrieves information from a database, and generates content.

[0721] A "database" refers to a source of information in which data about information events or people is accumulated and stored in a searchable form.

[0722] "Server means" refers to the functionality of the server to receive input data and retrieve relevant information from a database.

[0723] "Content" refers to the information generated by the server about events or people that users want to learn about, and is data generated in accordance with a specified display format.

[0724] "Generation means" refers to a method or process for generating content based on retrieved data in accordance with a specified display format.

[0725] "Terminal" means a device used by a User to display Generated Content.

[0726] "Display Means" refers to the method or process by which content generated on a device is visually or audibly presented to a user.

[0727] MODE FOR CARRYING OUT THE INVENTION

[0728] This invention is a system that automatically generates and displays relevant content by allowing users to specify the informational events or people they want to learn about and select a display format. Specific implementation methods for this system are described below.

[0729] System Overview

[0730] The server includes the following means:

[0731] 1. A means for users to input the events or people they want to learn about and the format in which they want to view them.

[0732] 2. A means for transmitting the input data to a server.

[0733] 3. Server means for retrieving data relating to the informational events and people from a database.

[0734] 4. A generating means for generating content in accordance with a specified display format based on the retrieved data.

[0735] 5. A means for transmitting the generated content to a terminal.

[0736] 6. Means for displaying said transmitted content to the user.

[0737] Program processing explanation

[0738] The server first receives input from the user, including the historical events or people the user wants to learn about and the desired display format (e.g., image, audio, video). This input data is sent to the server in a standard format, such as JSON.

[0739] The server analyzes the received input data and searches for related information from the database. The server extracts data corresponding to the events or people specified by the user from the historical data and information on people stored in the database. This search process can be performed using database queries such as SQL.

[0740] The server then uses a generative AI model to generate content based on the extracted data. The generative AI model converts the data into images, audio, video, etc. according to the specified display format. For example, if a user specifies that they want to learn about a historical battle in "image" format, the generative AI model will generate images of the relevant battle scenes and characters.

[0741] The generated content is then converted back to JSON format and sent to the user's device, where it is analyzed and displayed appropriately.

[0742] Hardware and software used

[0743] Hardware

[0744] Server: The core device that processes data and runs generative AI models.

[0745] Device: The device used by the user (smartphone, tablet, computer, etc.).

[0746] software

[0747] Database management system (e.g., MySQL, PostgreSQL): Stores and retrieves data.

[0748] Generative AI models (e.g. TensorFlow, PyTorch): generate content in a specified format.

[0749] Data format conversion tools (e.g., JSON libraries): Convert input data or generated content.

[0750] Specific examples

[0751] Example 1

[0752] If a user requests to learn about the Battle of Sekigahara in "image" format, the following happens:

[0753] 1. The user uses the terminal to input "Battle of Sekigahara" and an "image."

[0754] 2. Convert the input data into JSON format and send it to the server.

[0755] 3. The server searches the database for information about the Battle of Sekigahara.

[0756] 4. Use generative AI models to generate content in the form of images.

[0757] 5. Send the generated image content to the device.

[0758] 6. The device displays the received image to the user.

[0759] Example 2

[0760] If a user requests to learn "famous people in modern history" in "audio" format, the following happens:

[0761] 1. The user uses the terminal to input the name of a famous person in modern history and their voice.

[0762] 2. Convert the input data into JSON format and send it to the server.

[0763] 3. The server searches the database for information about "famous people in modern history."

[0764] 4. Use generative AI models to generate audio content.

[0765] 5. The generated audio content is sent to the device.

[0766] 6. The device plays the received audio to the user.

[0767] Prompt Sentence Examples

[0768] Story Generation:

[0769] Theme: Battle of Sekigahara

[0770] Format: Image

[0771] This allows users to efficiently learn knowledge in a format that interests them.

[0772] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0773] Step 1:

[0774] The user uses a device to input the informational events or people they want to learn about, as well as the desired display format. The input information includes a "theme" (e.g., "Battle of Sekigahara") and a "format" (e.g., "manga" or "audio"). The "theme" and "format" are converted into JSON format as input data.

[0775] Input: User input (Battle of Sekigahara, manga)

[0776] Output: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[0777] Step 2:

[0778] The terminal sends the generated JSON formatted input data to the server. This sending process is performed using an HTTP POST request, and the destination URL specifies the server address.

[0779] Input: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[0780] Output: HTTP POST request to the server

[0781] Step 3:

[0782] The server analyzes the received JSON-formatted input data, extracts the "theme" and "format," and generates a database search query based on the extracted information. It then executes this query to search the database for relevant historical information.

[0783] Input: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[0784] Output: Database search query and search result data (information about the Battle of Sekigahara)

[0785] Step 4:

[0786] The server generates data to input into the generative AI model based on the search result data. The generative AI model receives a prompt sentence corresponding to the retrieved historical information and display format. The prompt sentence specifies the theme and format of the story to be generated.

[0787] Input: Search result data (information about the Battle of Sekigahara)

[0788] Output: Input data (prompt sentence) to the generative AI model

[0789] Step 5:

[0790] The server generates content using a generative AI model. The generative AI model generates a story according to a specified format (e.g., manga or audio). The generated content is output as an image or audio file.

[0791] Input: Input data (prompt sentence) to the generative AI model

[0792] Output: The generated content (e.g., a manga image file)

[0793] Step 6:

[0794] The server converts the generated content back into JSON format and sends it to the terminal. The transmitted data includes the URL and metadata of the generated content.

[0795] Input: Generated content (e.g., comic book image files)

[0796] Output: Content data in JSON format ({"story": [{"page": 1, "image_url": "http: / / example.com / page1.png"}]})

[0797] Step 7:

[0798] The device analyzes the received JSON content data and displays it in the appropriate format for the user. For example, if it is in comic format, it will display multiple images in order. If it is in audio format, it will play an audio file.

[0799] Input: JSON format content data ({"story": [{"page": 1, "image_url": "http: / / example.com / page1.png"}]})

[0800] Output: The content that is displayed to the user (e.g., a comic page, an audio file played, etc.)

[0801] 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.

[0802] This invention is a system that allows users to specify historical events or people, select the format in which they want to learn about them (for example, manga or audio), and combines this with an emotion engine that recognizes the user's emotions to optimize the learning experience. Below is the actual program processing flow of this system and a specific example.

[0803] User Input

[0804] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[0805] Sending input data from the terminal

[0806] The terminal converts the input information into an appropriate data format (for example, JSON format) and sends it to the server. The sent data may be in the following format:

[0807] json

[0808] {

[0809] "theme": "Battle of Sekigahara",

[0810] "format": "manga"

[0811] }

[0812] Server database search

[0813] The server analyzes the received data, determines the theme and display format specified by the user, and then searches the database for information and characters related to the Battle of Sekigahara. For example, it retrieves information about the main characters, Tokugawa Ieyasu and Ishida Mitsunari.

[0814] Server Story Generation

[0815] Based on the data acquired by the server, a story generation AI model is used to generate a manga-style story. This AI model generates images and text based on the acquired data and then organizes them into a manga-style story.

[0816] Emotion Engine Operation

[0817] The emotion engine analyzes the user's facial expressions, voice, and operation actions in real time, and determines the user's emotional state and learning progress based on the results of this analysis.

[0818] Story generation and dynamic adjustment

[0819] The generated story is dynamically adjusted based on feedback from the emotion engine, for example, speeding up the story if the user is excited, or lowering the difficulty if the user is losing focus.

[0820] Story output

[0821] The adjusted story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[0822] json

[0823] {

[0824] "story": [

[0825] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0826] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0827] ]

[0828] }

[0829] View user stories

[0830] The device analyzes the received story data and prepares an interface to display it to the user, such as providing a function to swipe through the pages of a manga. The user uses this interface to view the story of the Battle of Sekigahara in manga format, adjusted by emotion recognition.

[0831] Specific examples

[0832] For example, if a user selects "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that their concentration is declining while they are studying, the difficulty of the story will be automatically lowered. By viewing the adjusted content, the user can continue to study with interest.

[0833] This specific processing flow allows users to have an optimal learning experience in a format that suits their preferences and is emotionally attuned to their needs, leading to deeper understanding and retention.

[0834] The processing flow will be explained below.

[0835] Step 1:

[0836] Users input the historical events or people they want to learn about and the display format. For example, a user specifies "The Battle of Sekigahara" and "Manga."

[0837] Step 2:

[0838] The terminal converts the input information into an appropriate data format (for example, JSON format). Create data in the following format:

[0839] json

[0840] {

[0841] "theme": "Battle of Sekigahara",

[0842] "format": "manga"

[0843] }

[0844] Step 3:

[0845] The terminal then sends the converted data to the server, typically using HTTPS as the communication protocol.

[0846] Step 4:

[0847] The server analyzes the received data and identifies the theme and display format specified by the user.

[0848] Step 5:

[0849] The server searches the database for information related to the specified topic (the Battle of Sekigahara), using SQL-like search queries to retrieve data about relevant events and people.

[0850] sql

[0851] SELECT FROM history_data WHERE event = 'Battle of Sekigahara'

[0852] Step 6:

[0853] The server organizes the retrieved information and prepares it as input for the story generation AI model, including creating a list of characters and a timeline of events.

[0854] Step 7:

[0855] The server inputs the organized data into an AI model, which generates a story in the format (manga) specified by the user. The AI ​​model combines images and text to create a story in the specified format.

[0856] Step 8:

[0857] The emotion engine analyzes the user's facial expressions, voice, and operation actions in real time, and determines the user's emotional state and learning progress based on the results of this analysis.

[0858] Step 9:

[0859] Based on feedback from the emotion engine, the server dynamically adjusts the generated story, for example, speeding up the story if the user is excited, or lowering the difficulty if the user is losing focus.

[0860] Step 10:

[0861] The adjusted story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[0862] json

[0863] {

[0864] "story": [

[0865] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[0866] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[0867] ]

[0868] }

[0869] Step 11:

[0870] The device analyzes the received data and prepares an interface to display to the user, such as providing the ability to swipe through the pages of a comic book.

[0871] Step 12:

[0872] Using the device interface, users can view the generated story, which is tailored by the emotion engine, and learn about the Battle of Sekigahara.

[0873] Specific examples

[0874] For example, if a user selects "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that their concentration is declining while they are studying, the difficulty of the story will be automatically lowered. By viewing the adjusted content, the user can continue to study with interest.

[0875] This specific processing flow allows users to have an optimal learning experience in a format that suits their preferences and is emotionally attuned to their needs, leading to deeper understanding and retention.

[0876] Example 2

[0877] 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."

[0878] Traditional learning systems lack the flexibility to allow users to individually select the historical content they want to learn. Furthermore, they do not dynamically adjust to accommodate the user's emotional state or loss of concentration while learning, which reduces learning effectiveness. In particular, because the display format is fixed, learning in a format that does not suit the user's preferences often reduces effectiveness.

[0879] 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.

[0880] In this invention, the server includes a means for a user to input a historical event or person that the user wants to learn about and a display format, a means for transmitting the input information to the server, and a means for searching for information about the historical event or person from a database, thereby enabling the user to study a specific historical topic in a display format of their choice.

[0881] The server further includes a generation AI model means for generating a story in a specified display format based on the searched information, an emotion engine means for recognizing the user's emotional state by analyzing the user's facial expressions, voice, and operation actions, and a means for dynamically adjusting the generated story based on feedback from the emotion engine means, thereby appropriately adjusting the learning content according to the user's emotional state and concentration level, providing an optimal learning experience.

[0882] Definitions of important words

[0883] A "User" is any person or entity that uses the Learning System to obtain information about historical events or people.

[0884] A "server" is a computing device that stores, retrieves, and processes data and provides information in response to user requests.

[0885] "Display format" refers to the form of information display that the user chooses to learn (e.g., text, comics, audio).

[0886] "Input method" refers to the interface (e.g., keyboard, touchscreen, voice input) through which the user inputs the content to be learned and the format in which it is displayed into the system.

[0887] "Means for sending" refers to a communication method for sending the information entered by the user to the server via a network.

[0888] A "database" is an electronic data repository that contains information about historical events and people.

[0889] A "searching means" is a method or device for retrieving information from a database based on specified conditions.

[0890] A "generative AI model means" is an artificial intelligence model for generating stories, images, sounds, etc. suitable for a specified display format.

[0891] The "emotion engine means" is a technology that analyzes the user's facial expressions, voice, operating actions, etc. to determine the user's emotional state and concentration level.

[0892] The "dynamic adjustment means" is a method or device for changing or adjusting the generated story or display content in real time based on feedback from the emotion engine means.

[0893] A "means for displaying" is an interface for appropriately presenting the generated or adjusted story to the user.

[0894] MODE FOR CARRYING OUT THE INVENTION

[0895] This invention is a system that allows users to specify historical events or people, select the format in which they want to learn about them (e.g., manga or audio), and combines it with an emotion engine that recognizes the user's emotions to optimize the learning experience. This invention uses the following hardware and software:

[0896] Hardware and software used

[0897] Device: The device that the user uses as an interface, such as a smartphone, tablet, or PC.

[0898] Server: A server for storing, retrieving, and processing data.

[0899] Database: A data repository that stores information about historical events and people.

[0900] Generative AI models: Artificial intelligence models that generate stories, images, audio, etc. appropriate for a specified display format (e.g., GPT, DALL-E)

[0901] Emotion engine: Technology that analyzes the user's facial expressions, voice, and operating actions to determine the user's emotional state and level of concentration.

[0902] System Configuration and Operation

[0903] User Input

[0904] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[0905] Sending input data from the terminal

[0906] The terminal converts the information entered by the user into an appropriate data format (for example, JSON format) and sends it to the server via the network. If the transmission is successful, the terminal displays the message "Sending data..." to the user.

[0907] Server database search

[0908] The server analyzes the received data, extracts the specified theme and display format, and then accesses its internal database to search for related information and characters, such as detailed data on Tokugawa Ieyasu and Ishida Mitsunari.

[0909] Server Story Generation

[0910] The server uses the acquired data to generate a manga-style story using a generative AI model. Specifically, the AI ​​model generates an image of Tokugawa Ieyasu and prepares corresponding text. The resulting output is as follows:

[0911] Page 1: "The Battle of Sekigahara Begins..."

[0912] Image URL: "http: / / example.com / page1.png"

[0913] Page 2: "Tokugawa Ieyasu's Strategy..."

[0914] Image URL: "http: / / example.com / page2.png"

[0915] Emotion Engine Operation

[0916] The emotion engine captures and analyzes the user's facial expressions, voice, and operating actions in real time through the device's camera and microphone. For example, if the user is smiling, it will recognize that they are "having fun," and if they look tired, it will determine that they are "not concentrating."

[0917] Story generation and dynamic adjustment

[0918] Based on feedback from the emotion engine, the server dynamically adjusts the content of the story. If the user is enjoying the story, it speeds up the story, and if the user's concentration is declining, it lowers the difficulty. For example, the server may omit parts of the story or simplify explanations.

[0919] Story output

[0920] The adjusted story is then converted back into a digital format and sent to the device, which receives the data and displays it in a dedicated interface. The user can enjoy the story by swiping left and right to turn the pages as they read the manga.

[0921] Specific examples

[0922] If a user types in "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that the user's concentration is declining while learning, the server will automatically adjust the difficulty of the story by simplifying the explanations and slowing down the storytelling.

[0923] Prompt Sentence Examples

[0924] "I want to learn about the Battle of Sekigahara in manga format. I also want the story to speed up when I'm excited and the difficulty to decrease when my concentration wanes."

[0925] In this way, users can get the best learning experience in a format that suits their preferences and emotionally responsive.

[0926] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0927] Specific flow of system program processing

[0928] Step 1:

[0929] Using the application or web interface, the user inputs the historical event or person they want to learn about and the display format—for example, selecting "Battle of Sekigahara" and "manga" format—which then becomes the basis for the next processing step.

[0930] Step 2:

[0931] The terminal receives the user's input data and converts it into an appropriate data format (e.g., JSON format). JSON example:

[0932] json

[0933] {

[0934] "theme": "Battle of Sekigahara",

[0935] "format": "manga"

[0936] }

[0937] The terminal then sends this data to the server over the network. The input data is the user's request, and the output data is the JSON data sent to the server.

[0938] Step 3:

[0939] The server analyzes the received JSON data and identifies the theme and display format. For example, the server retrieves "Battle of Sekigahara" from the "theme" field and "manga" from the "format" field. The results of this analysis become the input data for the next step.

[0940] Step 4:

[0941] Based on the data analyzed by the server, related information is searched from the database. For example, information related to the Battle of Sekigahara and character data (Tokugawa Ieyasu, Ishida Mitsunari, etc.) are obtained. The input data is the analysis results, and the output data is related information and character data.

[0942] Step 5:

[0943] Based on the information acquired by the server, a generative AI model is used to generate a manga-style story. The generative AI model uses the acquired information as input data and generates manga stories and images as output data. Specific outputs include:

[0944] Page 1: "The Battle of Sekigahara Begins..."

[0945] Image URL: "http: / / example.com / page1.png"

[0946] Page 2: "Tokugawa Ieyasu's Strategy..."

[0947] Image URL: "http: / / example.com / page2.png"

[0948] Step 6:

[0949] The emotion engine captures and analyzes the user's facial expressions, voice, and operating actions in real time. The input data is the user's state from the camera and microphone, and the output data is the user's emotional state (e.g., enjoying themselves, losing concentration). This data is used in the next adjustment step.

[0950] Step 7:

[0951] The server dynamically adjusts the generated story based on feedback from the emotion engine. For example, if the user is enjoying the story, it speeds up the story, and if the user's concentration is declining, it simplifies the explanation. The input data is the emotion engine's feedback, and the output data is the adjusted story.

[0952] Step 8:

[0953] The server converts the adjusted story back into JSON format and sends it to the device. Example:

[0954] json

[0955] {

[0956] "story": [

[0957] {"page": 1, "image_url": "http: / / example.com / page1.png", "text": "The beginning of the Battle of Sekigahara..."},

[0958] {"page": 2, "image_url": "http: / / example.com / page2.png", "text": "Tokugawa Ieyasu's Strategy..."}

[0959] ]

[0960] }

[0961] The input data is the adapted story, and the output data is the JSON data to be sent.

[0962] Step 9:

[0963] The device analyzes the received JSON data and displays it in a dedicated user interface. Specifically, the pages of the manga are displayed on the screen, and the user can turn the pages by swiping left and right. The input data is the received JSON data, and the output data is the interface displayed to the user.

[0964] Step 10:

[0965] The user browses the displayed content and progresses with their learning. Through stories optimized according to the user's emotional state, deeper understanding and retention of the information can be achieved. The input data is the displayed story, and the output data is the user's learning results.

[0966] (Application example 2)

[0967] 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."

[0968] Current learning systems lack the ability to dynamically adjust content based on the user's emotional state and learning progress, which can lead to problems such as users losing interest and concentration, and making it difficult to personalize and optimize the learning experience for each individual user.

[0969] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state in real time, means for adjusting the difficulty level and pace of the story based on the analyzed emotional state, and means for transmitting the generated and adjusted story to the terminal. This makes it possible to dynamically adjust the learning content according to the user's emotional state and provide an optimal learning experience for each individual user.

[0970] "Users" refer to ordinary consumers who use the system or application to learn about historical events and people.

[0971] "Historical events" refer to events, battles, political upheavals, etc. that actually occurred in the past.

[0972] "Person" refers to an individual associated with a historical event, such as a politician, military officer, or thinker.

[0973] "Display format" refers to the way in which the learning content is presented that the user selects, and includes formats such as comics and audio.

[0974] A "server" refers to a remote computer system that receives input from users and performs processes such as database searches, story generation, and emotional state analysis.

[0975] A "database" refers to a collection of information that stores information about historical events and people.

[0976] A "story" is a series of generated content based on the historical events or people that users are trying to learn about.

[0977] "Generation means" refers to a system or technology that creates a story based on information retrieved from a database, based on user input.

[0978] "Emotional state" refers to the psychological state inferred from the user's facial expressions, voice, operating actions, etc.

[0979] An "emotion engine" refers to technology and algorithms for analyzing a user's emotional state in real time.

[0980] "Adjustment methods" refers to technologies and systems that dynamically change the difficulty and pace of a story based on data obtained from the emotion engine.

[0981] "Terminal" refers to a device used by a user to view learning content, including smartphones, head-mounted displays, etc.

[0982] "Transmission means" refers to the technology and protocols used to send the generated story and adjustments from the server to the device.

[0983] The present invention is a system for optimizing the process by which a user learns about historical events and people. Specific embodiments for carrying out the invention are described below.

[0984] First, a user uses a dedicated application or web interface to input the historical events or people they want to learn about, as well as the display format, and this input information is sent to the server.

[0985] The server analyzes the user's input and searches the database for relevant data. Based on the information retrieved, a generative AI model is used to generate a story according to the specified display format. In this case, the generative AI model is used to create a story that combines images and text.

[0986] Next, the server's built-in emotion engine analyzes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, voice, and operating actions to determine their level of concentration and interest. Based on this data, the difficulty level and pace of the story are adjusted. For example, if the engine determines that the user's concentration is declining while studying, the difficulty level of the story will automatically be adjusted lower.

[0987] The adjusted story is then sent back to the device from the server. This data is interpreted by the user's device and displayed to the user. The user can view the adjusted learning content using a device such as a smartphone or head-mounted display.

[0988] The specific hardware and software used by the server includes a generative AI model, an emotion engine, and libraries for processing HTTP requests (e.g., requests).

[0989] For example, if a user specifies "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that the user's concentration is declining while studying, the server will automatically adjust the difficulty of the story to a lower level to keep the user interested.

[0990] An example prompt might look like this:

[0991] A user wants to learn about the Battle of Sekigahara in a manga format. Dynamically adjust the story based on their emotional state (distraction or excitement) during the lesson.

[0992] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0993] Step 1:

[0994] Using a dedicated application or web interface, users input the historical events or people they want to learn about, as well as the display format they want to see—for example, "The Battle of Sekigahara" and "Manga"—and this information is converted into JSON-formatted data.

[0995] Input: User-entered historical events, people, and display formats

[0996] Output: Data converted to JSON format

[0997] Specific operation: User inputs information on the application screen → Input information is converted to JSON format

[0998] Step 2:

[0999] The device sends the entered information in JSON format to the server, which receives it and parses it appropriately.

[1000] Input: Input information in JSON format

[1001] Output: Data sent to the server

[1002] Specific operation: The device sends an HTTP POST request → The server receives the data and begins analyzing it.

[1003] Step 3:

[1004] Based on the data received by the server, it searches the database for related information, such as information about characters and events related to the Battle of Sekigahara.

[1005] Input: Input data received by the server

[1006] Output: Relevant information retrieved from the database

[1007] Specific operation: The server executes a database query to obtain relevant information.

[1008] Step 4:

[1009] Based on the data acquired by the server, a generative AI model is used to generate a story, for example, creating a comic book-style story.

[1010] Input: Relevant information retrieved from the database

[1011] Output: The story generated by the generative AI model

[1012] Specific operation: The server inputs data into the generated AI model → The model generates images and text → A comic-style story is created

[1013] Step 5:

[1014] The emotion engine analyzes the user's facial expressions, voice, and operating actions in real time to determine the user's emotional state and level of concentration.

[1015] Input: User facial expression, voice, and operation data

[1016] Output: Judgment result of user's emotional state and concentration level

[1017] Specific operation: The emotion engine collects data from the camera and microphone → the analysis algorithm determines the emotional state

[1018] Step 6:

[1019] The generated and analyzed stories are adjusted based on the emotional state, for example, reducing the difficulty of the story if concentration levels decrease.

[1020] Input: User's emotional state and concentration level judgment results, output of the generative AI model

[1021] Output: Adjusted story

[1022] Specific operation: The server adjusts the difficulty and pace of the story → generates the adjusted story

[1023] Step 7:

[1024] The server sends the adjusted story to the device, which receives the data and displays it to the user.

[1025] Input: Adjusted story

[1026] Output: The story sent to your device

[1027] Specific operation: The server sends data via an HTTP POST request → The device receives the data and analyzes it as display data

[1028] Step 8:

[1029] The device displays the tailored story to the user, who then views the story.

[1030] Input: Story sent to device

[1031] Output: The story the user sees

[1032] Specific operation: The device prepares the interface for displaying the story → The user views the story

[1033] This is the specific processing flow of the invention. This system allows users to have an optimal learning experience that is tailored to their emotional state and learning progress.

[1034] 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.

[1035] 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.

[1036] 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.

[1037] [Third embodiment]

[1038] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1039] 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.

[1040] 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).

[1041] 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.

[1042] 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.

[1043] 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).

[1044] 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.

[1045] 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.

[1046] 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.

[1047] 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.

[1048] 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.

[1049] 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."

[1050] This invention is a system that automatically generates and displays a story when the user specifies a historical event or person and selects the format in which they want to learn about it (for example, manga or audio). Below is the actual program processing flow of this system and a specific example.

[1051] User Input

[1052] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[1053] Sending input data from the terminal

[1054] The device (the user's smartphone or computer) converts this input data into an appropriate format (for example, JSON format) and sends it to the server. The transmitted data may be in the following format:

[1055] json

[1056] {

[1057] "theme": "Battle of Sekigahara",

[1058] "format": "manga"

[1059] }

[1060] Server database search

[1061] The server analyzes the received data, identifies the theme (the Battle of Sekigahara) and the format (manga), and searches the database for information and characters related to the Battle of Sekigahara. For example, it retrieves information about Tokugawa Ieyasu and Ishida Mitsunari, who are the main characters.

[1062] Server Story Generation

[1063] Based on the data acquired by the server, a story generation AI model is used to generate a manga-style story. This AI model generates images and text based on the acquired data, and then organizes them into a manga-style story.

[1064] Story generation and output

[1065] The generated manga story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[1066] json

[1067] {

[1068] "story": [

[1069] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1070] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1071] ]

[1072] }

[1073] View user stories

[1074] The device analyzes the received story data and displays it to the user, who can then use the device's interface to view the displayed manga and learn about the Battle of Sekigahara.

[1075] Specific examples

[1076] For example, if a user specifies, "I want to learn about the Battle of Sekigahara through manga," the process will proceed through the following steps:

[1077] 1. User: Enter "Battle of Sekigahara" and "manga" in the dedicated application.

[1078] 2. Terminal: Sends input data in JSON format to the server.

[1079] 3. Server: Analyzes the received data and searches the database for information about the Battle of Sekigahara.

[1080] 4. Server: The search data is input into the AI ​​model and a comic-style story is generated.

[1081] 5. Server: Sends the generated story in JSON format to the device.

[1082] 6. Terminal: Analyzes the story data and displays it to the user in comic form.

[1083] 7. User: Read manga on their device and learn about the Battle of Sekigahara.

[1084] This makes it easier for users to learn history in a format that suits their preferences, and also promotes memory retention.

[1085] The processing flow will be explained below.

[1086] Step 1:

[1087] Users input the historical events or people they want to learn about and the display format. For example, a user specifies "The Battle of Sekigahara" and "Manga."

[1088] Step 2:

[1089] The terminal converts the input information into an appropriate data format (for example, JSON format). Create data in the following format:

[1090] json

[1091] {

[1092] "theme": "Battle of Sekigahara",

[1093] "format": "manga"

[1094] }

[1095] Step 3:

[1096] The terminal then sends the converted data to the server, typically using HTTPS as the communication protocol.

[1097] Step 4:

[1098] The server analyzes the received data and identifies the theme and display format specified by the user.

[1099] Step 5:

[1100] The server searches the database for information related to the specified topic (the Battle of Sekigahara), using SQL-like search queries to retrieve data about relevant events and people.

[1101] sql

[1102] SELECT FROM history_data WHERE event = 'Battle of Sekigahara'

[1103] Step 6:

[1104] The server organizes the retrieved information and prepares it as input for the story generation AI model, including creating a list of characters and a timeline of events.

[1105] Step 7:

[1106] The server inputs the organized data into an AI model, which generates a story in the format (manga) specified by the user. The AI ​​model combines images and text to create a story in the specified format.

[1107] Step 8:

[1108] The generated story is converted back into JSON format and sent to the device in the following format:

[1109] json

[1110] {

[1111] "story": [

[1112] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1113] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1114] ]

[1115] }

[1116] Step 9:

[1117] The device analyzes the received data and prepares an interface to display to the user, such as providing the ability to swipe through the pages of a comic book.

[1118] Step 10:

[1119] Users can use the device interface to view the generated manga-style story, making it an enjoyable way to learn about the history of the Battle of Sekigahara.

[1120] This specific processing flow allows users to learn history in a format that suits their preferences, leading to a deeper understanding and solidification of memories.

[1121] Example 1

[1122] 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."

[1123] With conventional learning systems, it was difficult for users to efficiently learn about history and people that they were interested in. Furthermore, the time and cost required to generate content according to the desired learning format was high, making it difficult to provide instantly customized learning materials. As a result, users often lost motivation to learn.

[1124] 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.

[1125] In this invention, the server includes means for inputting events or people that a user wants to learn about and a display format, means for converting the input information into a data format and sending it to the server, means for searching for information about the events or people from a database, means for generating a story in accordance with a specified display format using a generative AI model, means for converting the generated story into a data format and sending it to a terminal, and means for displaying the sent story to the user. This allows the user to instantly obtain customized learning materials that have been automatically generated based on their input.

[1126] A "user" is an individual or group of people who use the system to select the events or people they want to learn about and enter the appropriate display format.

[1127] An "incident" is a historical or other significant event or occurrence that a user selects to study.

[1128] A "person" is a specific individual that the user selects to study, who has played an important role in history or other fields.

[1129] "Display format" refers to the way the user chooses to present the learning material, such as comic book format or audio format.

[1130] "Input means" refers to the interface that allows users to input the events or people to be studied and the display format into the system.

[1131] A "data format" is the standardized digital format in which the entered information is sent to the server, such as JSON.

[1132] "Transmission means" refers to the communication protocol and method for converting the input data into an appropriate format and transmitting it to the server.

[1133] A "database" is a digital storage system that stores information about events and people.

[1134] A "searching means" is an algorithm or function for extracting information related to a specified event or person from a database.

[1135] A "generative AI model" is an artificial intelligence technology that generates a story in a specified display format based on input data.

[1136] A "terminal" is a device such as a computer or smartphone that allows a user to operate the system and view generated learning materials.

[1137] This invention is a system that allows users to input events or people they want to learn about and study them in a specified display format. Specifically, the user uses a dedicated application or web interface to input the event or person to be studied and the display format. For example, if a user wants to study "historical battles" in "manga format," the user enters "historical battles" and "manga" in the application's input fields.

[1138] First, the device (the smartphone or computer used by the user) converts this input data into JSON format and sends it to the server. The data sent may be in the following format:

[1139] json

[1140] {

[1141] "theme": "Historic Battle",

[1142] "format": "manga"

[1143] }

[1144] The server then analyzes the received data, identifying the theme (historical battles) and presentation format (manga). The server then searches its database for information related to the specified theme, such as information about major characters and events.

[1145] Based on the data acquired by the server, a generative AI model is used to generate a story in the specified display format. This AI model generates images and text related to the specified theme and organizes them into a comic-style story.

[1146] The generated comic story is converted back to JSON format and sent to the device. The data sent may be in the following format:

[1147] json

[1148] {

[1149] "story": [

[1150] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1151] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1152] ]

[1153] }

[1154] The device analyzes the received story data and displays it to the user in comic form based on that data. The user can then use the device's interface to view the displayed comic and learn about the specified topic. This system allows users to view stories that match their interests and a format that is easy to learn, improving learning efficiency.

[1155] As a concrete example, consider the case where a user wants to learn about historical battles in manga format. The user enters "historical battle" and "manga" into the application and presses the send button. The device converts the input data into JSON format and sends it to the server. The server receives this data and searches for relevant information in a database. The server then inputs the data into a generative AI model to generate a story in manga format. The generated story is converted into JSON format and sent to the device, allowing the user to view the learning material in manga format.

[1156] Example prompt sentence:

[1157] Theme: Historical Battles

[1158] Format: Manga

[1159] Provide detailed information about a historical battle and depict it in comic form. The main characters are listed as "Main Characters." The first page should introduce them briefly, and the next page should depict the main battle scenes.

[1160] In this way, the present invention allows users to learn about history and other important events in a format that suits their interests, which has the effect of increasing motivation to learn.

[1161] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1162] Step 1:

[1163] User Input

[1164] Using a dedicated application or web interface, users input the events or people they want to learn about and the display format. Specifically, users enter "historical battle" and "manga" into the application's input fields and press the submit button. This input provides the system with the user's learning goal and desired display format.

[1165] Step 2:

[1166] Sending input data from the terminal

[1167] The terminal receives the user's input data and converts it into JSON format. Specifically, the terminal converts the input data into the following JSON format:

[1168] Input: "historical battle", format: "manga"

[1169] output:

[1170] json

[1171] {

[1172] "theme": "Historic Battle",

[1173] "format": "manga"

[1174] }

[1175] The device sends the converted JSON data to the server using an HTTP POST request.

[1176] Step 3:

[1177] Server database search

[1178] The server parses the received JSON data and identifies the subject (historical battle) and the presentation format (manga). Based on this data parsing, the server starts searching for relevant information from its database.

[1179] input:

[1180] json

[1181] {

[1182] "theme": "Historic Battle",

[1183] "format": "manga"

[1184] }

[1185] output:

[1186] The appropriate information is retrieved from the database. Specifically, the server executes an SQL query to extract records related to "historical battles" from the database.

[1187] Step 4:

[1188] Server Story Generation

[1189] The server generates a prompt based on the retrieved information and passes it to the generative AI model. Specifically, the server generates the following prompt:

[1190] Theme: Historical Battles

[1191] Format: Manga

[1192] Provide detailed information about a historical battle and depict it in comic form. The main characters are listed as "Main Characters." The first page should introduce them briefly, and the next page should depict the main battle scenes.

[1193] Input: prompt statement and search data

[1194] Output: A comic-style story (multiple images and text) obtained from the generative AI model

[1195] The server inputs this prompt into the AI ​​model and generates a story in the specified format.

[1196] Step 5:

[1197] Story generation and output

[1198] The generated comic-style story is converted into JSON format on the server and sent to the device.

[1199] Input: Story data obtained from a generative AI model

[1200] output:

[1201] json

[1202] {

[1203] "story": [

[1204] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1205] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1206] ]

[1207] }

[1208] The server sends this story data to the terminal as an HTTP response.

[1209] Step 6:

[1210] View user stories

[1211] The device parses the received JSON data and displays it to the user in comic form. Specifically, the device downloads images from the specified URL and displays them in the user interface. The user can learn about the specified topic while viewing the comic on the device.

[1212] Input: Story data (JSON format)

[1213] Output: Learning materials displayed in comic format

[1214] This allows the user to study efficiently.

[1215] (Application example 1)

[1216] 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."

[1217] In conventional learning methods, there were limited ways for users to effectively learn about historical events and people according to their interests. In particular, there were few systems that provided the information users wanted to learn in a specified format, which led to issues such as low learning efficiency and low retention of memory.

[1218] 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.

[1219] In this invention, the server includes means for inputting information events or people that a user wants to learn about and a display format, means for transmitting the input data to the server, server means for searching a database for data related to the information events or people, generation means for generating content based on the searched data in a specified display format, means for transmitting the generated content to a terminal, and means for displaying the transmitted content to the user, thereby enabling users to efficiently learn history in a format that interests them.

[1220] "User" refers to an individual who uses the System to input information they wish to learn and view the generated content.

[1221] "Information events" refer to historical events and data related to those events.

[1222] "People" refers to specific historical figures and data related to those figures.

[1223] "Display format" refers to the format of the content specified by the user, and includes formats such as images, audio, and video.

[1224] "Input Data" refers to the information events or people a user wishes to learn about and the data in a display format that the user inputs into the system.

[1225] "Server" refers to a central computing device that receives input data, retrieves information from a database, and generates content.

[1226] A "database" refers to a source of information in which data about information events or people is accumulated and stored in a searchable form.

[1227] "Server means" refers to the functionality of the server to receive input data and retrieve relevant information from a database.

[1228] "Content" refers to the information generated by the server about events or people that users want to learn about, and is data generated in accordance with a specified display format.

[1229] "Generation means" refers to a method or process for generating content based on retrieved data in accordance with a specified display format.

[1230] "Terminal" means a device used by a User to display Generated Content.

[1231] "Display Means" refers to the method or process by which content generated on a device is visually or audibly presented to a user.

[1232] MODE FOR CARRYING OUT THE INVENTION

[1233] This invention is a system that automatically generates and displays relevant content by allowing users to specify the informational events or people they want to learn about and select a display format. Specific implementation methods for this system are described below.

[1234] System Overview

[1235] The server includes the following means:

[1236] 1. A means for users to input the events or people they want to learn about and the format in which they want to view them.

[1237] 2. A means for transmitting the input data to a server.

[1238] 3. Server means for retrieving data relating to the informational events and people from a database.

[1239] 4. A generating means for generating content in accordance with a specified display format based on the retrieved data.

[1240] 5. A means for transmitting the generated content to a terminal.

[1241] 6. Means for displaying said transmitted content to the user.

[1242] Program processing explanation

[1243] The server first receives input from the user, including the historical events or people the user wants to learn about and the desired display format (e.g., image, audio, video). This input data is sent to the server in a standard format, such as JSON.

[1244] The server analyzes the received input data and searches for related information from the database. The server extracts data corresponding to the events or people specified by the user from the historical data and information on people stored in the database. This search process can be performed using database queries such as SQL.

[1245] The server then uses a generative AI model to generate content based on the extracted data. The generative AI model converts the data into images, audio, video, etc. according to the specified display format. For example, if a user specifies that they want to learn about a historical battle in "image" format, the generative AI model will generate images of the relevant battle scenes and characters.

[1246] The generated content is then converted back to JSON format and sent to the user's device, where it is analyzed and displayed appropriately.

[1247] Hardware and software used

[1248] Hardware

[1249] Server: The core device that processes data and runs generative AI models.

[1250] Device: The device used by the user (smartphone, tablet, computer, etc.).

[1251] software

[1252] Database management system (e.g., MySQL, PostgreSQL): Stores and retrieves data.

[1253] Generative AI models (e.g. TensorFlow, PyTorch): generate content in a specified format.

[1254] Data format conversion tools (e.g., JSON libraries): Convert input data or generated content.

[1255] Specific examples

[1256] Example 1

[1257] If a user requests to learn about the Battle of Sekigahara in "image" format, the following happens:

[1258] 1. The user uses the terminal to input "Battle of Sekigahara" and an "image."

[1259] 2. Convert the input data into JSON format and send it to the server.

[1260] 3. The server searches the database for information about the Battle of Sekigahara.

[1261] 4. Use generative AI models to generate content in the form of images.

[1262] 5. Send the generated image content to the device.

[1263] 6. The device displays the received image to the user.

[1264] Example 2

[1265] If a user requests to learn "famous people in modern history" in "audio" format, the following happens:

[1266] 1. The user uses the terminal to input the name of a famous person in modern history and their voice.

[1267] 2. Convert the input data into JSON format and send it to the server.

[1268] 3. The server searches the database for information about "famous people in modern history."

[1269] 4. Use generative AI models to generate audio content.

[1270] 5. The generated audio content is sent to the device.

[1271] 6. The device plays the received audio to the user.

[1272] Prompt Sentence Examples

[1273] Story Generation:

[1274] Theme: Battle of Sekigahara

[1275] Format: Image

[1276] This allows users to efficiently learn knowledge in a format that interests them.

[1277] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1278] Step 1:

[1279] The user uses a device to input the informational events or people they want to learn about, as well as the desired display format. The input information includes a "theme" (e.g., "Battle of Sekigahara") and a "format" (e.g., "manga" or "audio"). The "theme" and "format" are converted into JSON format as input data.

[1280] Input: User input (Battle of Sekigahara, manga)

[1281] Output: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[1282] Step 2:

[1283] The terminal sends the generated JSON formatted input data to the server. This sending process is performed using an HTTP POST request, and the destination URL specifies the server address.

[1284] Input: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[1285] Output: HTTP POST request to the server

[1286] Step 3:

[1287] The server analyzes the received JSON-formatted input data, extracts the "theme" and "format," and generates a database search query based on the extracted information. It then executes this query to search the database for relevant historical information.

[1288] Input: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[1289] Output: Database search query and search result data (information about the Battle of Sekigahara)

[1290] Step 4:

[1291] The server generates data to input into the generative AI model based on the search result data. The generative AI model receives a prompt sentence corresponding to the retrieved historical information and display format. The prompt sentence specifies the theme and format of the story to be generated.

[1292] Input: Search result data (information about the Battle of Sekigahara)

[1293] Output: Input data (prompt sentence) to the generative AI model

[1294] Step 5:

[1295] The server generates content using a generative AI model. The generative AI model generates a story according to a specified format (e.g., manga or audio). The generated content is output as an image or audio file.

[1296] Input: Input data (prompt sentence) to the generative AI model

[1297] Output: The generated content (e.g., a manga image file)

[1298] Step 6:

[1299] The server converts the generated content back into JSON format and sends it to the terminal. The transmitted data includes the URL and metadata of the generated content.

[1300] Input: Generated content (e.g., comic book image files)

[1301] Output: Content data in JSON format ({"story": [{"page": 1, "image_url": "http: / / example.com / page1.png"}]})

[1302] Step 7:

[1303] The device analyzes the received JSON content data and displays it in the appropriate format for the user. For example, if it is in comic format, it will display multiple images in order. If it is in audio format, it will play an audio file.

[1304] Input: JSON format content data ({"story": [{"page": 1, "image_url": "http: / / example.com / page1.png"}]})

[1305] Output: The content that is displayed to the user (e.g., a comic page, an audio file played, etc.)

[1306] 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.

[1307] This invention is a system that allows users to specify historical events or people, select the format in which they want to learn about them (for example, manga or audio), and combines this with an emotion engine that recognizes the user's emotions to optimize the learning experience. Below is the actual program processing flow of this system and a specific example.

[1308] User Input

[1309] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[1310] Sending input data from the terminal

[1311] The terminal converts the input information into an appropriate data format (for example, JSON format) and sends it to the server. The sent data may be in the following format:

[1312] json

[1313] {

[1314] "theme": "Battle of Sekigahara",

[1315] "format": "manga"

[1316] }

[1317] Server database search

[1318] The server analyzes the received data, determines the theme and display format specified by the user, and then searches the database for information and characters related to the Battle of Sekigahara. For example, it retrieves information about the main characters, Tokugawa Ieyasu and Ishida Mitsunari.

[1319] Server Story Generation

[1320] Based on the data acquired by the server, a story generation AI model is used to generate a manga-style story. This AI model generates images and text based on the acquired data and then organizes them into a manga-style story.

[1321] Emotion Engine Operation

[1322] The emotion engine analyzes the user's facial expressions, voice, and operation actions in real time, and determines the user's emotional state and learning progress based on the results of this analysis.

[1323] Story generation and dynamic adjustment

[1324] The generated story is dynamically adjusted based on feedback from the emotion engine, for example, speeding up the story if the user is excited, or lowering the difficulty if the user is losing focus.

[1325] Story output

[1326] The adjusted story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[1327] json

[1328] {

[1329] "story": [

[1330] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1331] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1332] ]

[1333] }

[1334] View user stories

[1335] The device analyzes the received story data and prepares an interface to display it to the user, such as providing a function to swipe through the pages of a manga. The user uses this interface to view the story of the Battle of Sekigahara in manga format, adjusted by emotion recognition.

[1336] Specific examples

[1337] For example, if a user selects "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that their concentration is declining while they are studying, the difficulty of the story will be automatically lowered. By viewing the adjusted content, the user can continue to study with interest.

[1338] This specific processing flow allows users to have an optimal learning experience in a format that suits their preferences and is emotionally attuned to their needs, leading to deeper understanding and retention.

[1339] The processing flow will be explained below.

[1340] Step 1:

[1341] Users input the historical events or people they want to learn about and the display format. For example, a user specifies "The Battle of Sekigahara" and "Manga."

[1342] Step 2:

[1343] The terminal converts the input information into an appropriate data format (for example, JSON format). Create data in the following format:

[1344] json

[1345] {

[1346] "theme": "Battle of Sekigahara",

[1347] "format": "manga"

[1348] }

[1349] Step 3:

[1350] The terminal then sends the converted data to the server, typically using HTTPS as the communication protocol.

[1351] Step 4:

[1352] The server analyzes the received data and identifies the theme and display format specified by the user.

[1353] Step 5:

[1354] The server searches the database for information related to the specified topic (the Battle of Sekigahara), using SQL-like search queries to retrieve data about relevant events and people.

[1355] sql

[1356] SELECT FROM history_data WHERE event = 'Battle of Sekigahara'

[1357] Step 6:

[1358] The server organizes the retrieved information and prepares it as input for the story generation AI model, including creating a list of characters and a timeline of events.

[1359] Step 7:

[1360] The server inputs the organized data into an AI model, which generates a story in the format (manga) specified by the user. The AI ​​model combines images and text to create a story in the specified format.

[1361] Step 8:

[1362] The emotion engine analyzes the user's facial expressions, voice, and operation actions in real time, and determines the user's emotional state and learning progress based on the results of this analysis.

[1363] Step 9:

[1364] Based on feedback from the emotion engine, the server dynamically adjusts the generated story, for example, speeding up the story if the user is excited, or lowering the difficulty if the user is losing focus.

[1365] Step 10:

[1366] The adjusted story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[1367] json

[1368] {

[1369] "story": [

[1370] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1371] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1372] ]

[1373] }

[1374] Step 11:

[1375] The device analyzes the received data and prepares an interface to display to the user, such as providing the ability to swipe through the pages of a comic book.

[1376] Step 12:

[1377] Using the device interface, users can view the generated story, which is tailored by the emotion engine, and learn about the Battle of Sekigahara.

[1378] Specific examples

[1379] For example, if a user selects "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that their concentration is declining while they are studying, the difficulty of the story will be automatically lowered. By viewing the adjusted content, the user can continue to study with interest.

[1380] This specific processing flow allows users to have an optimal learning experience in a format that suits their preferences and is emotionally attuned to their needs, leading to deeper understanding and retention.

[1381] Example 2

[1382] 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."

[1383] Traditional learning systems lack the flexibility to allow users to individually select the historical content they want to learn. Furthermore, they do not dynamically adjust to accommodate the user's emotional state or loss of concentration while learning, which reduces learning effectiveness. In particular, because the display format is fixed, learning in a format that does not suit the user's preferences often reduces effectiveness.

[1384] 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.

[1385] In this invention, the server includes a means for a user to input a historical event or person that the user wants to learn about and a display format, a means for transmitting the input information to the server, and a means for searching for information about the historical event or person from a database, thereby enabling the user to study a specific historical topic in a display format of their choice.

[1386] The server further includes a generation AI model means for generating a story in a specified display format based on the searched information, an emotion engine means for recognizing the user's emotional state by analyzing the user's facial expressions, voice, and operation actions, and a means for dynamically adjusting the generated story based on feedback from the emotion engine means, thereby appropriately adjusting the learning content according to the user's emotional state and concentration level, providing an optimal learning experience.

[1387] Definitions of important words

[1388] A "User" is any person or entity that uses the Learning System to obtain information about historical events or people.

[1389] A "server" is a computing device that stores, retrieves, and processes data and provides information in response to user requests.

[1390] "Display format" refers to the form of information display that the user chooses to learn (e.g., text, comics, audio).

[1391] "Input method" refers to the interface (e.g., keyboard, touchscreen, voice input) through which the user inputs the content to be learned and the format in which it is displayed into the system.

[1392] "Means for sending" refers to a communication method for sending the information entered by the user to the server via a network.

[1393] A "database" is an electronic data repository that contains information about historical events and people.

[1394] A "searching means" is a method or device for retrieving information from a database based on specified conditions.

[1395] A "generative AI model means" is an artificial intelligence model for generating stories, images, sounds, etc. suitable for a specified display format.

[1396] The "emotion engine means" is a technology that analyzes the user's facial expressions, voice, operating actions, etc. to determine the user's emotional state and concentration level.

[1397] The "dynamic adjustment means" is a method or device for changing or adjusting the generated story or display content in real time based on feedback from the emotion engine means.

[1398] A "means for displaying" is an interface for appropriately presenting the generated or adjusted story to the user.

[1399] MODE FOR CARRYING OUT THE INVENTION

[1400] This invention is a system that allows users to specify historical events or people, select the format in which they want to learn about them (e.g., manga or audio), and combines it with an emotion engine that recognizes the user's emotions to optimize the learning experience. This invention uses the following hardware and software:

[1401] Hardware and software used

[1402] Device: The device that the user uses as an interface, such as a smartphone, tablet, or PC.

[1403] Server: A server for storing, retrieving, and processing data.

[1404] Database: A data repository that stores information about historical events and people.

[1405] Generative AI models: Artificial intelligence models that generate stories, images, audio, etc. appropriate for a specified display format (e.g., GPT, DALL-E)

[1406] Emotion engine: Technology that analyzes the user's facial expressions, voice, and operating actions to determine the user's emotional state and level of concentration.

[1407] System Configuration and Operation

[1408] User Input

[1409] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[1410] Sending input data from the terminal

[1411] The terminal converts the information entered by the user into an appropriate data format (for example, JSON format) and sends it to the server via the network. If the transmission is successful, the terminal displays the message "Sending data..." to the user.

[1412] Server database search

[1413] The server analyzes the received data, extracts the specified theme and display format, and then accesses its internal database to search for related information and characters, such as detailed data on Tokugawa Ieyasu and Ishida Mitsunari.

[1414] Server Story Generation

[1415] The server uses the acquired data to generate a manga-style story using a generative AI model. Specifically, the AI ​​model generates an image of Tokugawa Ieyasu and prepares corresponding text. The resulting output is as follows:

[1416] Page 1: "The Battle of Sekigahara Begins..."

[1417] Image URL: "http: / / example.com / page1.png"

[1418] Page 2: "Tokugawa Ieyasu's Strategy..."

[1419] Image URL: "http: / / example.com / page2.png"

[1420] Emotion Engine Operation

[1421] The emotion engine captures and analyzes the user's facial expressions, voice, and operating actions in real time through the device's camera and microphone. For example, if the user is smiling, it will recognize that they are "having fun," and if they look tired, it will determine that they are "not concentrating."

[1422] Story generation and dynamic adjustment

[1423] Based on feedback from the emotion engine, the server dynamically adjusts the content of the story. If the user is enjoying the story, it speeds up the story, and if the user's concentration is declining, it lowers the difficulty. For example, the server may omit parts of the story or simplify explanations.

[1424] Story output

[1425] The adjusted story is then converted back into a digital format and sent to the device, which receives the data and displays it in a dedicated interface. The user can enjoy the story by swiping left and right to turn the pages as they read the manga.

[1426] Specific examples

[1427] If a user types in "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that the user's concentration is declining while learning, the server will automatically adjust the difficulty of the story by simplifying the explanations and slowing down the storytelling.

[1428] Prompt Sentence Examples

[1429] "I want to learn about the Battle of Sekigahara in manga format. I also want the story to speed up when I'm excited and the difficulty to decrease when my concentration wanes."

[1430] In this way, users can get the best learning experience in a format that suits their preferences and emotionally responsive.

[1431] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1432] Specific flow of system program processing

[1433] Step 1:

[1434] Using the application or web interface, the user inputs the historical event or person they want to learn about and the display format—for example, selecting "Battle of Sekigahara" and "manga" format—which then becomes the basis for the next processing step.

[1435] Step 2:

[1436] The terminal receives the user's input data and converts it into an appropriate data format (e.g., JSON format). JSON example:

[1437] json

[1438] {

[1439] "theme": "Battle of Sekigahara",

[1440] "format": "manga"

[1441] }

[1442] The terminal then sends this data to the server over the network. The input data is the user's request, and the output data is the JSON data sent to the server.

[1443] Step 3:

[1444] The server analyzes the received JSON data and identifies the theme and display format. For example, the server retrieves "Battle of Sekigahara" from the "theme" field and "manga" from the "format" field. The results of this analysis become the input data for the next step.

[1445] Step 4:

[1446] Based on the data analyzed by the server, related information is searched from the database. For example, information related to the Battle of Sekigahara and character data (Tokugawa Ieyasu, Ishida Mitsunari, etc.) are obtained. The input data is the analysis results, and the output data is related information and character data.

[1447] Step 5:

[1448] Based on the information acquired by the server, a generative AI model is used to generate a manga-style story. The generative AI model uses the acquired information as input data and generates manga stories and images as output data. Specific outputs include:

[1449] Page 1: "The Battle of Sekigahara Begins..."

[1450] Image URL: "http: / / example.com / page1.png"

[1451] Page 2: "Tokugawa Ieyasu's Strategy..."

[1452] Image URL: "http: / / example.com / page2.png"

[1453] Step 6:

[1454] The emotion engine captures and analyzes the user's facial expressions, voice, and operating actions in real time. The input data is the user's state from the camera and microphone, and the output data is the user's emotional state (e.g., enjoying themselves, losing concentration). This data is used in the next adjustment step.

[1455] Step 7:

[1456] The server dynamically adjusts the generated story based on feedback from the emotion engine. For example, if the user is enjoying the story, it speeds up the story, and if the user's concentration is declining, it simplifies the explanation. The input data is the emotion engine's feedback, and the output data is the adjusted story.

[1457] Step 8:

[1458] The server converts the adjusted story back into JSON format and sends it to the device. Example:

[1459] json

[1460] {

[1461] "story": [

[1462] {"page": 1, "image_url": "http: / / example.com / page1.png", "text": "The beginning of the Battle of Sekigahara..."},

[1463] {"page": 2, "image_url": "http: / / example.com / page2.png", "text": "Tokugawa Ieyasu's Strategy..."}

[1464] ]

[1465] }

[1466] The input data is the adapted story, and the output data is the JSON data to be sent.

[1467] Step 9:

[1468] The device analyzes the received JSON data and displays it in a dedicated user interface. Specifically, the pages of the manga are displayed on the screen, and the user can turn the pages by swiping left and right. The input data is the received JSON data, and the output data is the interface displayed to the user.

[1469] Step 10:

[1470] The user browses the displayed content and progresses with their learning. Through stories optimized according to the user's emotional state, deeper understanding and retention of the information can be achieved. The input data is the displayed story, and the output data is the user's learning results.

[1471] (Application example 2)

[1472] 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."

[1473] Current learning systems lack the ability to dynamically adjust content based on the user's emotional state and learning progress, which can lead to problems such as users losing interest and concentration, and making it difficult to personalize and optimize the learning experience for each individual user.

[1474] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state in real time, means for adjusting the difficulty level and pace of the story based on the analyzed emotional state, and means for transmitting the generated and adjusted story to the terminal. This makes it possible to dynamically adjust the learning content according to the user's emotional state and provide an optimal learning experience for each individual user.

[1475] "Users" refer to ordinary consumers who use the system or application to learn about historical events and people.

[1476] "Historical events" refer to events, battles, political upheavals, etc. that actually occurred in the past.

[1477] "Person" refers to an individual associated with a historical event, such as a politician, military officer, or thinker.

[1478] "Display format" refers to the way in which the learning content is presented that the user selects, and includes formats such as comics and audio.

[1479] A "server" refers to a remote computer system that receives input from users and performs processes such as database searches, story generation, and emotional state analysis.

[1480] A "database" refers to a collection of information that stores information about historical events and people.

[1481] A "story" is a series of generated content based on the historical events or people that users are trying to learn about.

[1482] "Generation means" refers to a system or technology that creates a story based on information retrieved from a database, based on user input.

[1483] "Emotional state" refers to the psychological state inferred from the user's facial expressions, voice, operating actions, etc.

[1484] An "emotion engine" refers to technology and algorithms for analyzing a user's emotional state in real time.

[1485] "Adjustment methods" refers to technologies and systems that dynamically change the difficulty and pace of a story based on data obtained from the emotion engine.

[1486] "Terminal" refers to a device used by a user to view learning content, including smartphones, head-mounted displays, etc.

[1487] "Transmission means" refers to the technology and protocols used to send the generated story and adjustments from the server to the device.

[1488] The present invention is a system for optimizing the process by which a user learns about historical events and people. Specific embodiments for carrying out the invention are described below.

[1489] First, a user uses a dedicated application or web interface to input the historical events or people they want to learn about, as well as the display format, and this input information is sent to the server.

[1490] The server analyzes the user's input and searches the database for relevant data. Based on the information retrieved, a generative AI model is used to generate a story according to the specified display format. In this case, the generative AI model is used to create a story that combines images and text.

[1491] Next, the server's built-in emotion engine analyzes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, voice, and operating actions to determine their level of concentration and interest. Based on this data, the difficulty level and pace of the story are adjusted. For example, if the engine determines that the user's concentration is declining while studying, the difficulty level of the story will automatically be adjusted lower.

[1492] The adjusted story is then sent back to the device from the server. This data is interpreted by the user's device and displayed to the user. The user can view the adjusted learning content using a device such as a smartphone or head-mounted display.

[1493] The specific hardware and software used by the server includes a generative AI model, an emotion engine, and libraries for processing HTTP requests (e.g., requests).

[1494] For example, if a user specifies "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that the user's concentration is declining while studying, the server will automatically adjust the difficulty of the story to a lower level to keep the user interested.

[1495] An example prompt might look like this:

[1496] A user wants to learn about the Battle of Sekigahara in a manga format. Dynamically adjust the story based on their emotional state (distraction or excitement) during the lesson.

[1497] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1498] Step 1:

[1499] Using a dedicated application or web interface, users input the historical events or people they want to learn about, as well as the display format they want to see—for example, "The Battle of Sekigahara" and "Manga"—and this information is converted into JSON-formatted data.

[1500] Input: User-entered historical events, people, and display formats

[1501] Output: Data converted to JSON format

[1502] Specific operation: User inputs information on the application screen → Input information is converted to JSON format

[1503] Step 2:

[1504] The device sends the entered information in JSON format to the server, which receives it and parses it appropriately.

[1505] Input: Input information in JSON format

[1506] Output: Data sent to the server

[1507] Specific operation: The device sends an HTTP POST request → The server receives the data and begins analyzing it.

[1508] Step 3:

[1509] Based on the data received by the server, it searches the database for related information, such as information about characters and events related to the Battle of Sekigahara.

[1510] Input: Input data received by the server

[1511] Output: Relevant information retrieved from the database

[1512] Specific operation: The server executes a database query to obtain relevant information.

[1513] Step 4:

[1514] Based on the data acquired by the server, a generative AI model is used to generate a story, for example, creating a comic book-style story.

[1515] Input: Relevant information retrieved from the database

[1516] Output: The story generated by the generative AI model

[1517] Specific operation: The server inputs data into the generated AI model → The model generates images and text → A comic-style story is created

[1518] Step 5:

[1519] The emotion engine analyzes the user's facial expressions, voice, and operating actions in real time to determine the user's emotional state and level of concentration.

[1520] Input: User facial expression, voice, and operation data

[1521] Output: Judgment result of user's emotional state and concentration level

[1522] Specific operation: The emotion engine collects data from the camera and microphone → the analysis algorithm determines the emotional state

[1523] Step 6:

[1524] The generated and analyzed stories are adjusted based on the emotional state, for example, reducing the difficulty of the story if concentration levels decrease.

[1525] Input: User's emotional state and concentration level judgment results, output of the generative AI model

[1526] Output: Adjusted story

[1527] Specific operation: The server adjusts the difficulty and pace of the story → generates the adjusted story

[1528] Step 7:

[1529] The server sends the adjusted story to the device, which receives the data and displays it to the user.

[1530] Input: Adjusted story

[1531] Output: The story sent to your device

[1532] Specific operation: The server sends data via an HTTP POST request → The device receives the data and analyzes it as display data

[1533] Step 8:

[1534] The device displays the tailored story to the user, who then views the story.

[1535] Input: Story sent to device

[1536] Output: The story the user sees

[1537] Specific operation: The device prepares the interface for displaying the story → The user views the story

[1538] This is the specific processing flow of the invention. This system allows users to have an optimal learning experience that is tailored to their emotional state and learning progress.

[1539] 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.

[1540] 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.

[1541] 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.

[1542] [Fourth embodiment]

[1543] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1544] 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.

[1545] 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).

[1546] 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.

[1547] 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.

[1548] 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).

[1549] 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.

[1550] 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.

[1551] 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.

[1552] 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.

[1553] 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.

[1554] 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.

[1555] 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."

[1556] This invention is a system that automatically generates and displays a story when the user specifies a historical event or person and selects the format in which they want to learn about it (for example, manga or audio). Below is the actual program processing flow of this system and a specific example.

[1557] User Input

[1558] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[1559] Sending input data from the terminal

[1560] The device (the user's smartphone or computer) converts this input data into an appropriate format (for example, JSON format) and sends it to the server. The transmitted data may be in the following format:

[1561] json

[1562] {

[1563] "theme": "Battle of Sekigahara",

[1564] "format": "manga"

[1565] }

[1566] Server database search

[1567] The server analyzes the received data, identifies the theme (the Battle of Sekigahara) and the format (manga), and searches the database for information and characters related to the Battle of Sekigahara. For example, it retrieves information about Tokugawa Ieyasu and Ishida Mitsunari, who are the main characters.

[1568] Server Story Generation

[1569] Based on the data acquired by the server, a story generation AI model is used to generate a manga-style story. This AI model generates images and text based on the acquired data, and then organizes them into a manga-style story.

[1570] Story generation and output

[1571] The generated manga story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[1572] json

[1573] {

[1574] "story": [

[1575] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1576] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1577] ]

[1578] }

[1579] View user stories

[1580] The device analyzes the received story data and displays it to the user, who can then use the device's interface to view the displayed manga and learn about the Battle of Sekigahara.

[1581] Specific examples

[1582] For example, if a user specifies, "I want to learn about the Battle of Sekigahara through manga," the process will proceed through the following steps:

[1583] 1. User: Enter "Battle of Sekigahara" and "manga" in the dedicated application.

[1584] 2. Terminal: Sends input data in JSON format to the server.

[1585] 3. Server: Analyzes the received data and searches the database for information about the Battle of Sekigahara.

[1586] 4. Server: The search data is input into the AI ​​model and a comic-style story is generated.

[1587] 5. Server: Sends the generated story in JSON format to the device.

[1588] 6. Terminal: Analyzes the story data and displays it to the user in comic form.

[1589] 7. User: Read manga on their device and learn about the Battle of Sekigahara.

[1590] This makes it easier for users to learn history in a format that suits their preferences, and also promotes memory retention.

[1591] The processing flow will be explained below.

[1592] Step 1:

[1593] Users input the historical events or people they want to learn about and the display format. For example, a user specifies "The Battle of Sekigahara" and "Manga."

[1594] Step 2:

[1595] The terminal converts the input information into an appropriate data format (for example, JSON format). Create data in the following format:

[1596] json

[1597] {

[1598] "theme": "Battle of Sekigahara",

[1599] "format": "manga"

[1600] }

[1601] Step 3:

[1602] The terminal then sends the converted data to the server, typically using HTTPS as the communication protocol.

[1603] Step 4:

[1604] The server analyzes the received data and identifies the theme and display format specified by the user.

[1605] Step 5:

[1606] The server searches the database for information related to the specified topic (the Battle of Sekigahara), using SQL-like search queries to retrieve data about relevant events and people.

[1607] sql

[1608] SELECT FROM history_data WHERE event = 'Battle of Sekigahara'

[1609] Step 6:

[1610] The server organizes the retrieved information and prepares it as input for the story generation AI model, including creating a list of characters and a timeline of events.

[1611] Step 7:

[1612] The server inputs the organized data into an AI model, which generates a story in the format (manga) specified by the user. The AI ​​model combines images and text to create a story in the specified format.

[1613] Step 8:

[1614] The generated story is converted back into JSON format and sent to the device in the following format:

[1615] json

[1616] {

[1617] "story": [

[1618] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1619] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1620] ]

[1621] }

[1622] Step 9:

[1623] The device analyzes the received data and prepares an interface to display to the user, such as providing the ability to swipe through the pages of a comic book.

[1624] Step 10:

[1625] Users can use the device interface to view the generated manga-style story, making it an enjoyable way to learn about the history of the Battle of Sekigahara.

[1626] This specific processing flow allows users to learn history in a format that suits their preferences, leading to a deeper understanding and solidification of memories.

[1627] Example 1

[1628] 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."

[1629] With conventional learning systems, it was difficult for users to efficiently learn about history and people that they were interested in. Furthermore, the time and cost required to generate content according to the desired learning format was high, making it difficult to provide instantly customized learning materials. As a result, users often lost motivation to learn.

[1630] 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.

[1631] In this invention, the server includes means for inputting events or people that a user wants to learn about and a display format, means for converting the input information into a data format and sending it to the server, means for searching for information about the events or people from a database, means for generating a story in accordance with a specified display format using a generative AI model, means for converting the generated story into a data format and sending it to a terminal, and means for displaying the sent story to the user. This allows the user to instantly obtain customized learning materials that have been automatically generated based on their input.

[1632] A "user" is an individual or group of people who use the system to select the events or people they want to learn about and enter the appropriate display format.

[1633] An "incident" is a historical or other significant event or occurrence that a user selects to study.

[1634] A "person" is a specific individual that the user selects to study, who has played an important role in history or other fields.

[1635] "Display format" refers to the way the user chooses to present the learning material, such as comic book format or audio format.

[1636] "Input means" refers to the interface that allows users to input the events or people to be studied and the display format into the system.

[1637] A "data format" is the standardized digital format in which the entered information is sent to the server, such as JSON.

[1638] "Transmission means" refers to the communication protocol and method for converting the input data into an appropriate format and transmitting it to the server.

[1639] A "database" is a digital storage system that stores information about events and people.

[1640] A "searching means" is an algorithm or function for extracting information related to a specified event or person from a database.

[1641] A "generative AI model" is an artificial intelligence technology that generates a story in a specified display format based on input data.

[1642] A "terminal" is a device such as a computer or smartphone that allows a user to operate the system and view generated learning materials.

[1643] This invention is a system that allows users to input events or people they want to learn about and study them in a specified display format. Specifically, the user uses a dedicated application or web interface to input the event or person to be studied and the display format. For example, if a user wants to study "historical battles" in "manga format," the user enters "historical battles" and "manga" in the application's input fields.

[1644] First, the device (the smartphone or computer used by the user) converts this input data into JSON format and sends it to the server. The data sent may be in the following format:

[1645] json

[1646] {

[1647] "theme": "Historic Battle",

[1648] "format": "manga"

[1649] }

[1650] The server then analyzes the received data, identifying the theme (historical battles) and presentation format (manga). The server then searches its database for information related to the specified theme, such as information about major characters and events.

[1651] Based on the data acquired by the server, a generative AI model is used to generate a story in the specified display format. This AI model generates images and text related to the specified theme and organizes them into a comic-style story.

[1652] The generated comic story is converted back to JSON format and sent to the device. The data sent may be in the following format:

[1653] json

[1654] {

[1655] "story": [

[1656] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1657] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1658] ]

[1659] }

[1660] The device analyzes the received story data and displays it to the user in comic form based on that data. The user can then use the device's interface to view the displayed comic and learn about the specified topic. This system allows users to view stories that match their interests and a format that is easy to learn, improving learning efficiency.

[1661] As a concrete example, consider the case where a user wants to learn about historical battles in manga format. The user enters "historical battle" and "manga" into the application and presses the send button. The device converts the input data into JSON format and sends it to the server. The server receives this data and searches for relevant information in a database. The server then inputs the data into a generative AI model to generate a story in manga format. The generated story is converted into JSON format and sent to the device, allowing the user to view the learning material in manga format.

[1662] Example prompt sentence:

[1663] Theme: Historical Battles

[1664] Format: Manga

[1665] Provide detailed information about a historical battle and depict it in comic form. The main characters are listed as "Main Characters." The first page should introduce them briefly, and the next page should depict the main battle scenes.

[1666] In this way, the present invention allows users to learn about history and other important events in a format that suits their interests, which has the effect of increasing motivation to learn.

[1667] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1668] Step 1:

[1669] User Input

[1670] Using a dedicated application or web interface, users input the events or people they want to learn about and the display format. Specifically, users enter "historical battle" and "manga" into the application's input fields and press the submit button. This input provides the system with the user's learning goal and desired display format.

[1671] Step 2:

[1672] Sending input data from the terminal

[1673] The terminal receives the user's input data and converts it into JSON format. Specifically, the terminal converts the input data into the following JSON format:

[1674] Input: "historical battle", format: "manga"

[1675] output:

[1676] json

[1677] {

[1678] "theme": "Historic Battle",

[1679] "format": "manga"

[1680] }

[1681] The device sends the converted JSON data to the server using an HTTP POST request.

[1682] Step 3:

[1683] Server database search

[1684] The server parses the received JSON data and identifies the subject (historical battle) and the presentation format (manga). Based on this data parsing, the server starts searching for relevant information from its database.

[1685] input:

[1686] json

[1687] {

[1688] "theme": "Historic Battle",

[1689] "format": "manga"

[1690] }

[1691] output:

[1692] The appropriate information is retrieved from the database. Specifically, the server executes an SQL query to extract records related to "historical battles" from the database.

[1693] Step 4:

[1694] Server Story Generation

[1695] The server generates a prompt based on the retrieved information and passes it to the generative AI model. Specifically, the server generates the following prompt:

[1696] Theme: Historical Battles

[1697] Format: Manga

[1698] Provide detailed information about a historical battle and depict it in comic form. The main characters are listed as "Main Characters." The first page should introduce them briefly, and the next page should depict the main battle scenes.

[1699] Input: prompt statement and search data

[1700] Output: A comic-style story (multiple images and text) obtained from the generative AI model

[1701] The server inputs this prompt into the AI ​​model and generates a story in the specified format.

[1702] Step 5:

[1703] Story generation and output

[1704] The generated comic-style story is converted into JSON format on the server and sent to the device.

[1705] Input: Story data obtained from a generative AI model

[1706] output:

[1707] json

[1708] {

[1709] "story": [

[1710] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1711] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1712] ]

[1713] }

[1714] The server sends this story data to the terminal as an HTTP response.

[1715] Step 6:

[1716] View user stories

[1717] The device parses the received JSON data and displays it to the user in comic form. Specifically, the device downloads images from the specified URL and displays them in the user interface. The user can learn about the specified topic while viewing the comic on the device.

[1718] Input: Story data (JSON format)

[1719] Output: Learning materials displayed in comic format

[1720] This allows the user to study efficiently.

[1721] (Application example 1)

[1722] 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."

[1723] In conventional learning methods, there were limited ways for users to effectively learn about historical events and people according to their interests. In particular, there were few systems that provided the information users wanted to learn in a specified format, which led to issues such as low learning efficiency and low retention of memory.

[1724] 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.

[1725] In this invention, the server includes means for inputting information events or people that a user wants to learn about and a display format, means for transmitting the input data to the server, server means for searching a database for data related to the information events or people, generation means for generating content based on the searched data in a specified display format, means for transmitting the generated content to a terminal, and means for displaying the transmitted content to the user, thereby enabling users to efficiently learn history in a format that interests them.

[1726] "User" refers to an individual who uses the System to input information they wish to learn and view the generated content.

[1727] "Information events" refer to historical events and data related to those events.

[1728] "People" refers to specific historical figures and data related to those figures.

[1729] "Display format" refers to the format of the content specified by the user, and includes formats such as images, audio, and video.

[1730] "Input Data" refers to the information events or people a user wishes to learn about and the data in a display format that the user inputs into the system.

[1731] "Server" refers to a central computing device that receives input data, retrieves information from a database, and generates content.

[1732] A "database" refers to a source of information in which data about information events or people is accumulated and stored in a searchable form.

[1733] "Server means" refers to the functionality of the server to receive input data and retrieve relevant information from a database.

[1734] "Content" refers to the information generated by the server about events or people that users want to learn about, and is data generated in accordance with a specified display format.

[1735] "Generation means" refers to a method or process for generating content based on retrieved data in accordance with a specified display format.

[1736] "Terminal" means a device used by a User to display Generated Content.

[1737] "Display Means" refers to the method or process by which content generated on a device is visually or audibly presented to a user.

[1738] MODE FOR CARRYING OUT THE INVENTION

[1739] This invention is a system that automatically generates and displays relevant content by allowing users to specify the informational events or people they want to learn about and select a display format. Specific implementation methods for this system are described below.

[1740] System Overview

[1741] The server includes the following means:

[1742] 1. A means for users to input the events or people they want to learn about and the format in which they want to view them.

[1743] 2. A means for transmitting the input data to a server.

[1744] 3. Server means for retrieving data relating to the informational events and people from a database.

[1745] 4. A generating means for generating content in accordance with a specified display format based on the retrieved data.

[1746] 5. A means for transmitting the generated content to a terminal.

[1747] 6. Means for displaying said transmitted content to the user.

[1748] Program processing explanation

[1749] The server first receives input from the user, including the historical events or people the user wants to learn about and the desired display format (e.g., image, audio, video). This input data is sent to the server in a standard format, such as JSON.

[1750] The server analyzes the received input data and searches for related information from the database. The server extracts data corresponding to the events or people specified by the user from the historical data and information on people stored in the database. This search process can be performed using database queries such as SQL.

[1751] The server then uses a generative AI model to generate content based on the extracted data. The generative AI model converts the data into images, audio, video, etc. according to the specified display format. For example, if a user specifies that they want to learn about a historical battle in "image" format, the generative AI model will generate images of the relevant battle scenes and characters.

[1752] The generated content is then converted back to JSON format and sent to the user's device, where it is analyzed and displayed appropriately.

[1753] Hardware and software used

[1754] Hardware

[1755] Server: The core device that processes data and runs generative AI models.

[1756] Device: The device used by the user (smartphone, tablet, computer, etc.).

[1757] software

[1758] Database management system (e.g., MySQL, PostgreSQL): Stores and retrieves data.

[1759] Generative AI models (e.g. TensorFlow, PyTorch): generate content in a specified format.

[1760] Data format conversion tools (e.g., JSON libraries): Convert input data or generated content.

[1761] Specific examples

[1762] Example 1

[1763] If a user requests to learn about the Battle of Sekigahara in "image" format, the following happens:

[1764] 1. The user uses the terminal to input "Battle of Sekigahara" and an "image."

[1765] 2. Convert the input data into JSON format and send it to the server.

[1766] 3. The server searches the database for information about the Battle of Sekigahara.

[1767] 4. Use generative AI models to generate content in the form of images.

[1768] 5. Send the generated image content to the device.

[1769] 6. The device displays the received image to the user.

[1770] Example 2

[1771] If a user requests to learn "famous people in modern history" in "audio" format, the following happens:

[1772] 1. The user uses the terminal to input the name of a famous person in modern history and their voice.

[1773] 2. Convert the input data into JSON format and send it to the server.

[1774] 3. The server searches the database for information about "famous people in modern history."

[1775] 4. Use generative AI models to generate audio content.

[1776] 5. The generated audio content is sent to the device.

[1777] 6. The device plays the received audio to the user.

[1778] Prompt Sentence Examples

[1779] Story Generation:

[1780] Theme: Battle of Sekigahara

[1781] Format: Image

[1782] This allows users to efficiently learn knowledge in a format that interests them.

[1783] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1784] Step 1:

[1785] The user uses a device to input the informational events or people they want to learn about, as well as the desired display format. The input information includes a "theme" (e.g., "Battle of Sekigahara") and a "format" (e.g., "manga" or "audio"). The "theme" and "format" are converted into JSON format as input data.

[1786] Input: User input (Battle of Sekigahara, manga)

[1787] Output: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[1788] Step 2:

[1789] The terminal sends the generated JSON formatted input data to the server. This sending process is performed using an HTTP POST request, and the destination URL specifies the server address.

[1790] Input: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[1791] Output: HTTP POST request to the server

[1792] Step 3:

[1793] The server analyzes the received JSON-formatted input data, extracts the "theme" and "format," and generates a database search query based on the extracted information. It then executes this query to search the database for relevant historical information.

[1794] Input: JSON format input data ({"theme": "Battle of Sekigahara", "format": "Manga"})

[1795] Output: Database search query and search result data (information about the Battle of Sekigahara)

[1796] Step 4:

[1797] The server generates data to input into the generative AI model based on the search result data. The generative AI model receives a prompt sentence corresponding to the retrieved historical information and display format. The prompt sentence specifies the theme and format of the story to be generated.

[1798] Input: Search result data (information about the Battle of Sekigahara)

[1799] Output: Input data (prompt sentence) to the generative AI model

[1800] Step 5:

[1801] The server generates content using a generative AI model. The generative AI model generates a story according to a specified format (e.g., manga or audio). The generated content is output as an image or audio file.

[1802] Input: Input data (prompt sentence) to the generative AI model

[1803] Output: The generated content (e.g., a manga image file)

[1804] Step 6:

[1805] The server converts the generated content back into JSON format and sends it to the terminal. The transmitted data includes the URL and metadata of the generated content.

[1806] Input: Generated content (e.g., comic book image files)

[1807] Output: Content data in JSON format ({"story": [{"page": 1, "image_url": "http: / / example.com / page1.png"}]})

[1808] Step 7:

[1809] The device analyzes the received JSON content data and displays it in the appropriate format for the user. For example, if it is in comic format, it will display multiple images in order. If it is in audio format, it will play an audio file.

[1810] Input: JSON format content data ({"story": [{"page": 1, "image_url": "http: / / example.com / page1.png"}]})

[1811] Output: The content that is displayed to the user (e.g., a comic page, an audio file played, etc.)

[1812] 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.

[1813] This invention is a system that allows users to specify historical events or people, select the format in which they want to learn about them (for example, manga or audio), and combines this with an emotion engine that recognizes the user's emotions to optimize the learning experience. Below is the actual program processing flow of this system and a specific example.

[1814] User Input

[1815] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[1816] Sending input data from the terminal

[1817] The terminal converts the input information into an appropriate data format (for example, JSON format) and sends it to the server. The sent data may be in the following format:

[1818] json

[1819] {

[1820] "theme": "Battle of Sekigahara",

[1821] "format": "manga"

[1822] }

[1823] Server database search

[1824] The server analyzes the received data, determines the theme and display format specified by the user, and then searches the database for information and characters related to the Battle of Sekigahara. For example, it retrieves information about the main characters, Tokugawa Ieyasu and Ishida Mitsunari.

[1825] Server Story Generation

[1826] Based on the data acquired by the server, a story generation AI model is used to generate a manga-style story. This AI model generates images and text based on the acquired data and then organizes them into a manga-style story.

[1827] Emotion Engine Operation

[1828] The emotion engine analyzes the user's facial expressions, voice, and operation actions in real time, and determines the user's emotional state and learning progress based on the results of this analysis.

[1829] Story generation and dynamic adjustment

[1830] The generated story is dynamically adjusted based on feedback from the emotion engine, for example, speeding up the story if the user is excited, or lowering the difficulty if the user is losing focus.

[1831] Story output

[1832] The adjusted story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[1833] json

[1834] {

[1835] "story": [

[1836] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1837] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1838] ]

[1839] }

[1840] View user stories

[1841] The device analyzes the received story data and prepares an interface to display it to the user, such as providing a function to swipe through the pages of a manga. The user uses this interface to view the story of the Battle of Sekigahara in manga format, adjusted by emotion recognition.

[1842] Specific examples

[1843] For example, if a user selects "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that their concentration is declining while they are studying, the difficulty of the story will be automatically lowered. By viewing the adjusted content, the user can continue to study with interest.

[1844] This specific processing flow allows users to have an optimal learning experience in a format that suits their preferences and is emotionally attuned to their needs, leading to deeper understanding and retention.

[1845] The processing flow will be explained below.

[1846] Step 1:

[1847] Users input the historical events or people they want to learn about and the display format. For example, a user specifies "The Battle of Sekigahara" and "Manga."

[1848] Step 2:

[1849] The terminal converts the input information into an appropriate data format (for example, JSON format). Create data in the following format:

[1850] json

[1851] {

[1852] "theme": "Battle of Sekigahara",

[1853] "format": "manga"

[1854] }

[1855] Step 3:

[1856] The terminal then sends the converted data to the server, typically using HTTPS as the communication protocol.

[1857] Step 4:

[1858] The server analyzes the received data and identifies the theme and display format specified by the user.

[1859] Step 5:

[1860] The server searches the database for information related to the specified topic (the Battle of Sekigahara), using SQL-like search queries to retrieve data about relevant events and people.

[1861] sql

[1862] SELECT FROM history_data WHERE event = 'Battle of Sekigahara'

[1863] Step 6:

[1864] The server organizes the retrieved information and prepares it as input for the story generation AI model, including creating a list of characters and a timeline of events.

[1865] Step 7:

[1866] The server inputs the organized data into an AI model, which generates a story in the format (manga) specified by the user. The AI ​​model combines images and text to create a story in the specified format.

[1867] Step 8:

[1868] The emotion engine analyzes the user's facial expressions, voice, and operation actions in real time, and determines the user's emotional state and learning progress based on the results of this analysis.

[1869] Step 9:

[1870] Based on feedback from the emotion engine, the server dynamically adjusts the generated story, for example, speeding up the story if the user is excited, or lowering the difficulty if the user is losing focus.

[1871] Step 10:

[1872] The adjusted story is then converted back to JSON format and sent to the device. The data sent may be in the following format:

[1873] json

[1874] {

[1875] "story": [

[1876] {"page": 1, "image_url": "http: / / example.com / page1.png"},

[1877] {"page": 2, "image_url": "http: / / example.com / page2.png"}

[1878] ]

[1879] }

[1880] Step 11:

[1881] The device analyzes the received data and prepares an interface to display to the user, such as providing the ability to swipe through the pages of a comic book.

[1882] Step 12:

[1883] Using the device interface, users can view the generated story, which is tailored by the emotion engine, and learn about the Battle of Sekigahara.

[1884] Specific examples

[1885] For example, if a user selects "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that their concentration is declining while they are studying, the difficulty of the story will be automatically lowered. By viewing the adjusted content, the user can continue to study with interest.

[1886] This specific processing flow allows users to have an optimal learning experience in a format that suits their preferences and is emotionally attuned to their needs, leading to deeper understanding and retention.

[1887] Example 2

[1888] 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."

[1889] Traditional learning systems lack the flexibility to allow users to individually select the historical content they want to learn. Furthermore, they do not dynamically adjust to accommodate the user's emotional state or loss of concentration while learning, which reduces learning effectiveness. In particular, because the display format is fixed, learning in a format that does not suit the user's preferences often reduces effectiveness.

[1890] 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.

[1891] In this invention, the server includes a means for a user to input a historical event or person that the user wants to learn about and a display format, a means for transmitting the input information to the server, and a means for searching for information about the historical event or person from a database, thereby enabling the user to study a specific historical topic in a display format of their choice.

[1892] The server further includes a generation AI model means for generating a story in a specified display format based on the searched information, an emotion engine means for recognizing the user's emotional state by analyzing the user's facial expressions, voice, and operation actions, and a means for dynamically adjusting the generated story based on feedback from the emotion engine means, thereby appropriately adjusting the learning content according to the user's emotional state and concentration level, providing an optimal learning experience.

[1893] Definitions of important words

[1894] A "User" is any person or entity that uses the Learning System to obtain information about historical events or people.

[1895] A "server" is a computing device that stores, retrieves, and processes data and provides information in response to user requests.

[1896] "Display format" refers to the form of information display that the user chooses to learn (e.g., text, comics, audio).

[1897] "Input method" refers to the interface (e.g., keyboard, touchscreen, voice input) through which the user inputs the content to be learned and the format in which it is displayed into the system.

[1898] "Means for sending" refers to a communication method for sending the information entered by the user to the server via a network.

[1899] A "database" is an electronic data repository that contains information about historical events and people.

[1900] A "searching means" is a method or device for retrieving information from a database based on specified conditions.

[1901] A "generative AI model means" is an artificial intelligence model for generating stories, images, sounds, etc. suitable for a specified display format.

[1902] The "emotion engine means" is a technology that analyzes the user's facial expressions, voice, operating actions, etc. to determine the user's emotional state and concentration level.

[1903] The "dynamic adjustment means" is a method or device for changing or adjusting the generated story or display content in real time based on feedback from the emotion engine means.

[1904] A "means for displaying" is an interface for appropriately presenting the generated or adjusted story to the user.

[1905] MODE FOR CARRYING OUT THE INVENTION

[1906] This invention is a system that allows users to specify historical events or people, select the format in which they want to learn about them (e.g., manga or audio), and combines it with an emotion engine that recognizes the user's emotions to optimize the learning experience. This invention uses the following hardware and software:

[1907] Hardware and software used

[1908] Device: The device that the user uses as an interface, such as a smartphone, tablet, or PC.

[1909] Server: A server for storing, retrieving, and processing data.

[1910] Database: A data repository that stores information about historical events and people.

[1911] Generative AI models: Artificial intelligence models that generate stories, images, audio, etc. appropriate for a specified display format (e.g., GPT, DALL-E)

[1912] Emotion engine: Technology that analyzes the user's facial expressions, voice, and operating actions to determine the user's emotional state and level of concentration.

[1913] System Configuration and Operation

[1914] User Input

[1915] Users use a dedicated application or web interface to input the historical event or person they want to learn about and the display format. For example, if a user wants to learn about the Battle of Sekigahara in manga format, they enter "Battle of Sekigahara" and "manga" into the application's input fields.

[1916] Sending input data from the terminal

[1917] The terminal converts the information entered by the user into an appropriate data format (for example, JSON format) and sends it to the server via the network. If the transmission is successful, the terminal displays the message "Sending data..." to the user.

[1918] Server database search

[1919] The server analyzes the received data, extracts the specified theme and display format, and then accesses its internal database to search for related information and characters, such as detailed data on Tokugawa Ieyasu and Ishida Mitsunari.

[1920] Server Story Generation

[1921] The server uses the acquired data to generate a manga-style story using a generative AI model. Specifically, the AI ​​model generates an image of Tokugawa Ieyasu and prepares corresponding text. The resulting output is as follows:

[1922] Page 1: "The Battle of Sekigahara Begins..."

[1923] Image URL: "http: / / example.com / page1.png"

[1924] Page 2: "Tokugawa Ieyasu's Strategy..."

[1925] Image URL: "http: / / example.com / page2.png"

[1926] Emotion Engine Operation

[1927] The emotion engine captures and analyzes the user's facial expressions, voice, and operating actions in real time through the device's camera and microphone. For example, if the user is smiling, it will recognize that they are "having fun," and if they look tired, it will determine that they are "not concentrating."

[1928] Story generation and dynamic adjustment

[1929] Based on feedback from the emotion engine, the server dynamically adjusts the content of the story. If the user is enjoying the story, it speeds up the story, and if the user's concentration is declining, it lowers the difficulty. For example, the server may omit parts of the story or simplify explanations.

[1930] Story output

[1931] The adjusted story is then converted back into a digital format and sent to the device, which receives the data and displays it in a dedicated interface. The user can enjoy the story by swiping left and right to turn the pages as they read the manga.

[1932] Specific examples

[1933] If a user types in "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that the user's concentration is declining while learning, the server will automatically adjust the difficulty of the story by simplifying the explanations and slowing down the storytelling.

[1934] Prompt Sentence Examples

[1935] "I want to learn about the Battle of Sekigahara in manga format. I also want the story to speed up when I'm excited and the difficulty to decrease when my concentration wanes."

[1936] In this way, users can get the best learning experience in a format that suits their preferences and emotionally responsive.

[1937] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1938] Specific flow of system program processing

[1939] Step 1:

[1940] Using the application or web interface, the user inputs the historical event or person they want to learn about and the display format—for example, selecting "Battle of Sekigahara" and "manga" format—which then becomes the basis for the next processing step.

[1941] Step 2:

[1942] The terminal receives the user's input data and converts it into an appropriate data format (e.g., JSON format). JSON example:

[1943] json

[1944] {

[1945] "theme": "Battle of Sekigahara",

[1946] "format": "manga"

[1947] }

[1948] The terminal then sends this data to the server over the network. The input data is the user's request, and the output data is the JSON data sent to the server.

[1949] Step 3:

[1950] The server analyzes the received JSON data and identifies the theme and display format. For example, the server retrieves "Battle of Sekigahara" from the "theme" field and "manga" from the "format" field. The results of this analysis become the input data for the next step.

[1951] Step 4:

[1952] Based on the data analyzed by the server, related information is searched from the database. For example, information related to the Battle of Sekigahara and character data (Tokugawa Ieyasu, Ishida Mitsunari, etc.) are obtained. The input data is the analysis results, and the output data is related information and character data.

[1953] Step 5:

[1954] Based on the information acquired by the server, a generative AI model is used to generate a manga-style story. The generative AI model uses the acquired information as input data and generates manga stories and images as output data. Specific outputs include:

[1955] Page 1: "The Battle of Sekigahara Begins..."

[1956] Image URL: "http: / / example.com / page1.png"

[1957] Page 2: "Tokugawa Ieyasu's Strategy..."

[1958] Image URL: "http: / / example.com / page2.png"

[1959] Step 6:

[1960] The emotion engine captures and analyzes the user's facial expressions, voice, and operating actions in real time. The input data is the user's state from the camera and microphone, and the output data is the user's emotional state (e.g., enjoying themselves, losing concentration). This data is used in the next adjustment step.

[1961] Step 7:

[1962] The server dynamically adjusts the generated story based on feedback from the emotion engine. For example, if the user is enjoying the story, it speeds up the story, and if the user's concentration is declining, it simplifies the explanation. The input data is the emotion engine's feedback, and the output data is the adjusted story.

[1963] Step 8:

[1964] The server converts the adjusted story back into JSON format and sends it to the device. Example:

[1965] json

[1966] {

[1967] "story": [

[1968] {"page": 1, "image_url": "http: / / example.com / page1.png", "text": "The beginning of the Battle of Sekigahara..."},

[1969] {"page": 2, "image_url": "http: / / example.com / page2.png", "text": "Tokugawa Ieyasu's Strategy..."}

[1970] ]

[1971] }

[1972] The input data is the adapted story, and the output data is the JSON data to be sent.

[1973] Step 9:

[1974] The device analyzes the received JSON data and displays it in a dedicated user interface. Specifically, the pages of the manga are displayed on the screen, and the user can turn the pages by swiping left and right. The input data is the received JSON data, and the output data is the interface displayed to the user.

[1975] Step 10:

[1976] The user browses the displayed content and progresses with their learning. Through stories optimized according to the user's emotional state, deeper understanding and retention of the information can be achieved. The input data is the displayed story, and the output data is the user's learning results.

[1977] (Application example 2)

[1978] 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."

[1979] Current learning systems lack the ability to dynamically adjust content based on the user's emotional state and learning progress, which can lead to problems such as users losing interest and concentration, and making it difficult to personalize and optimize the learning experience for each individual user.

[1980] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state in real time, means for adjusting the difficulty level and pace of the story based on the analyzed emotional state, and means for transmitting the generated and adjusted story to the terminal. This makes it possible to dynamically adjust the learning content according to the user's emotional state and provide an optimal learning experience for each individual user.

[1981] "Users" refer to ordinary consumers who use the system or application to learn about historical events and people.

[1982] "Historical events" refer to events, battles, political upheavals, etc. that actually occurred in the past.

[1983] "Person" refers to an individual associated with a historical event, such as a politician, military officer, or thinker.

[1984] "Display format" refers to the way in which the learning content is presented that the user selects, and includes formats such as comics and audio.

[1985] A "server" refers to a remote computer system that receives input from users and performs processes such as database searches, story generation, and emotional state analysis.

[1986] A "database" refers to a collection of information that stores information about historical events and people.

[1987] A "story" is a series of generated content based on the historical events or people that users are trying to learn about.

[1988] "Generation means" refers to a system or technology that creates a story based on information retrieved from a database, based on user input.

[1989] "Emotional state" refers to the psychological state inferred from the user's facial expressions, voice, operating actions, etc.

[1990] An "emotion engine" refers to technology and algorithms for analyzing a user's emotional state in real time.

[1991] "Adjustment methods" refers to technologies and systems that dynamically change the difficulty and pace of a story based on data obtained from the emotion engine.

[1992] "Terminal" refers to a device used by a user to view learning content, including smartphones, head-mounted displays, etc.

[1993] "Transmission means" refers to the technology and protocols used to send the generated story and adjustments from the server to the device.

[1994] The present invention is a system for optimizing the process by which a user learns about historical events and people. Specific embodiments for carrying out the invention are described below.

[1995] First, a user uses a dedicated application or web interface to input the historical events or people they want to learn about, as well as the display format, and this input information is sent to the server.

[1996] The server analyzes the user's input and searches the database for relevant data. Based on the information retrieved, a generative AI model is used to generate a story according to the specified display format. In this case, the generative AI model is used to create a story that combines images and text.

[1997] Next, the server's built-in emotion engine analyzes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, voice, and operating actions to determine their level of concentration and interest. Based on this data, the difficulty level and pace of the story are adjusted. For example, if the engine determines that the user's concentration is declining while studying, the difficulty level of the story will automatically be adjusted lower.

[1998] The adjusted story is then sent back to the device from the server. This data is interpreted by the user's device and displayed to the user. The user can view the adjusted learning content using a device such as a smartphone or head-mounted display.

[1999] The specific hardware and software used by the server includes a generative AI model, an emotion engine, and libraries for processing HTTP requests (e.g., requests).

[2000] For example, if a user specifies "I want to learn about the Battle of Sekigahara through manga," and the emotion engine recognizes that the user's concentration is declining while studying, the server will automatically adjust the difficulty of the story to a lower level to keep the user interested.

[2001] An example prompt might look like this:

[2002] A user wants to learn about the Battle of Sekigahara in a manga format. Dynamically adjust the story based on their emotional state (distraction or excitement) during the lesson.

[2003] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2004] Step 1:

[2005] Using a dedicated application or web interface, users input the historical events or people they want to learn about, as well as the display format they want to see—for example, "The Battle of Sekigahara" and "Manga"—and this information is converted into JSON-formatted data.

[2006] Input: User-entered historical events, people, and display formats

[2007] Output: Data converted to JSON format

[2008] Specific operation: User inputs information on the application screen → Input information is converted to JSON format

[2009] Step 2:

[2010] The device sends the entered information in JSON format to the server, which receives it and parses it appropriately.

[2011] Input: Input information in JSON format

[2012] Output: Data sent to the server

[2013] Specific operation: The device sends an HTTP POST request → The server receives the data and begins analyzing it.

[2014] Step 3:

[2015] Based on the data received by the server, it searches the database for related information, such as information about characters and events related to the Battle of Sekigahara.

[2016] Input: Input data received by the server

[2017] Output: Relevant information retrieved from the database

[2018] Specific operation: The server executes a database query to obtain relevant information.

[2019] Step 4:

[2020] Based on the data acquired by the server, a generative AI model is used to generate a story, for example, creating a comic book-style story.

[2021] Input: Relevant information retrieved from the database

[2022] Output: The story generated by the generative AI model

[2023] Specific operation: The server inputs data into the generated AI model → The model generates images and text → A comic-style story is created

[2024] Step 5:

[2025] The emotion engine analyzes the user's facial expressions, voice, and operating actions in real time to determine the user's emotional state and level of concentration.

[2026] Input: User facial expression, voice, and operation data

[2027] Output: Judgment result of user's emotional state and concentration level

[2028] Specific operation: The emotion engine collects data from the camera and microphone → the analysis algorithm determines the emotional state

[2029] Step 6:

[2030] The generated and analyzed stories are adjusted based on the emotional state, for example, reducing the difficulty of the story if concentration levels decrease.

[2031] Input: User's emotional state and concentration level judgment results, output of the generative AI model

[2032] Output: Adjusted story

[2033] Specific operation: The server adjusts the difficulty and pace of the story → generates the adjusted story

[2034] Step 7:

[2035] The server sends the adjusted story to the device, which receives the data and displays it to the user.

[2036] Input: Adjusted story

[2037] Output: The story sent to your device

[2038] Specific operation: The server sends data via an HTTP POST request → The device receives the data and analyzes it as display data

[2039] Step 8:

[2040] The device displays the tailored story to the user, who then views the story.

[2041] Input: Story sent to device

[2042] Output: The story the user sees

[2043] Specific operation: The device prepares the interface for displaying the story → The user views the story

[2044] This is the specific processing flow of the invention. This system allows users to have an optimal learning experience that is tailored to their emotional state and learning progress.

[2045] 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.

[2046] 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.

[2047] 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.

[2048] 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.

[2049] 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.

[2050] 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.

[2051] 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).

[2052] 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.

[2053] 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."

[2054] 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.

[2055] 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).

[2056] 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.

[2057] 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.

[2058] 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.

[2059] 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.

[2060] 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.

[2061] 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.

[2062] 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.

[2063] 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.

[2064] 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.

[2065] 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.

[2066] The following is further disclosed regarding the above embodiment.

[2067] (Claim 1)

[2068] A means for users to input the historical events or people they want to learn about and the display format;

[2069] means for transmitting the input information to a server;

[2070] a server means for searching a database for information about the historical events and people;

[2071] a generating means for generating a story in accordance with a specified display format based on the retrieved information;

[2072] means for transmitting the generated story to a terminal;

[2073] means for displaying said submitted story to a user;

[2074] A system including:

[2075] (Claim 2)

[2076] 2. The system of claim 1, wherein the display format is a comic book format.

[2077] (Claim 3)

[2078] 2. The system of claim 1, wherein the display format is an audio format.

[2079] "Example 1"

[2080] (Claim 1)

[2081] A means for the user to input the event or person they want to learn about and the display format;

[2082] means for converting the input information into a data format and transmitting the converted information to a server;

[2083] server means for retrieving information about said events or people from a database;

[2084] a means for generating a story in accordance with a specified display format using a generative AI model based on the retrieved information;

[2085] means for converting the generated story into a data format and transmitting it to a terminal;

[2086] means for displaying said submitted story to a user;

[2087] A system including:

[2088] (Claim 2)

[2089] 2. The system of claim 1, wherein the display format is a comic book format.

[2090] (Claim 3)

[2091] 2. The system of claim 1, wherein the display format is an audio format.

[2092] "Application Example 1"

[2093] (Claim 1)

[2094] a means for the user to input the informational events or people they wish to learn about and the format of the presentation;

[2095] means for transmitting the input data to a server;

[2096] a server means for searching a database for data relating to the information events and people;

[2097] a generating means for generating content in accordance with a designated display format based on the retrieved data;

[2098] means for transmitting the generated content to a terminal;

[2099] means for displaying the transmitted content to a user;

[2100] A system including:

[2101] (Claim 2)

[2102] 2. The system of claim 1, wherein the display format is an image format.

[2103] (Claim 3)

[2104] 2. The system of claim 1, wherein the display format is an audio format.

[2105] "Example 2: Combining Emotion Engines"

[2106] Claims

[2107] (Claim 1)

[2108] A means for users to input the historical events or people they want to learn about and the display format;

[2109] means for transmitting the input information to a server;

[2110] a server means for searching a database for information about the historical events and people;

[2111] a generation AI model means for generating a story in accordance with a specified display format based on the retrieved information;

[2112] an emotion engine means for recognizing an emotional state of a user by analyzing the user's facial expression, voice, and operation;

[2113] means for dynamically adjusting the generated story based on feedback from the emotion engine means;

[2114] means for transmitting the generated or adjusted story to a terminal;

[2115] means for displaying said submitted story to a user;

[2116] A system including:

[2117] (Claim 2)

[2118] 2. The system of claim 1, wherein the display format is a comic book format.

[2119] (Claim 3)

[2120] 2. The system of claim 1, wherein the display format is an audio format.

[2121] "Application example 2 when combining emotion engines"

[2122] (Claim 1)

[2123] A means for users to input the historical events or people they want to learn about and the display format;

[2124] means for transmitting the input information to a server;

[2125] a server means for searching a database for information about the historical events and people;

[2126] a generating means for generating a story in accordance with a specified display format based on the retrieved information;

[2127] A means of analyzing the user's emotional state in real time;

[2128] a means for adjusting the difficulty level and pace of the story based on the analyzed emotional state;

[2129] means for transmitting the generated and adjusted story to a terminal;

[2130] means for displaying said submitted story to a user;

[2131] A system including:

[2132] (Claim 2)

[2133] 2. The system of claim 1, wherein the display format is a comic book format.

[2134] (Claim 3)

[2135] 2. The system of claim 1, wherein the display format is an audio format. [Explanation of symbols]

[2136] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for users to input the historical events or people they want to learn about and the display format; means for transmitting the input information to a server; a server means for searching a database for information about the historical events and people; a generating means for generating a story in accordance with a specified display format based on the retrieved information; means for transmitting the generated story to a terminal; means for displaying said submitted story to a user; A system including:

2. The system of claim 1 , wherein the display format is a comic book format.

3. 2. The system of claim 1, wherein the display format is an audio format.

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