system

Abstract

Provide a system. A device for detecting a touch operation by a user; A means for generating related information by a generation AI based on a touch operation; means for presenting the generated information to a user; A system including:

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] Current digital learning materials only provide preset information, which limits the information available, making intuitive understanding difficult, especially when learning about creatures or exhibits that are difficult to touch. There is a growing need for a new interactive learning system that solves this problem and provides a wide range of information more intuitively. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides the following means: a system comprising means for detecting a user's touch operation, means for generating related information using a generation AI based on the touch operation, and means for presenting the generated information to the user. The system further comprises means for distinguishing a specific object or part of the object based on the position of the user's touch operation, searching a database for detailed information about the object, and means for generating animations of the object in real time. The system also includes means for storing information about living creatures and exhibits in the form of text, images, and videos, real-time processing means for instantly providing information in response to user operations, and communication means for sending and receiving information between a server and a terminal.

[0006] A "touch operation" is an operation performed by a user using an input device such as a touch screen or a touch pad.

[0007] "Generative AI" is a system that uses artificial intelligence technology to generate information and animations based on user input.

[0008] "Related information" refers to detailed data and explanations about the object corresponding to the user's touch operation.

[0009] A "database" is an information accumulation system that systematically stores and manages information, making it easy to search and retrieve.

[0010] "Real-time processing" is a processing method that responds immediately to user operations and generates and provides information.

[0011] "Communication means" refers to the technology and protocols used to send and receive information between a server and a terminal.

[0012] The "subject" is a specific object such as a living thing or an exhibit that the user is studying.

[0013] "Animation" is content that visually expresses movement and is intended to convey information to users intuitively.

[0014] "User" refers to a person who uses the system to learn or gather information.

[0015] A "server" is a computer system that provides information and operates databases and generative AI.

[0016] A "terminal" is a device that is operated by a user and that communicates with a server to display information. [Brief explanation of the drawings]

[0017] [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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] To implement this invention, it is necessary to build a digital teaching material system (e-Touch system). This system detects the user's touch operations and generates and provides related information in real time in response to those operations. The program processing and specific examples of this system are explained below.

[0039] First, the system starts up when the user operates the device. When the user touches a creature or exhibit on the screen, the touch operation is detected by the device. The device collects information about the touch position and the touch target and sends it to the server.

[0040] The server receives requests sent from the device and analyzes their contents. For example, if a user touches an "elephant's ear," that information is sent to the server, which searches a database for detailed information about the "elephant's ear." The server then uses a generative AI to generate the necessary animations and visual information in real time. Based on the user's request, the generative AI creates an animation that shows the movement and internal structure of a specific object in detail.

[0041] The generated information is sent from the server to the device as a response. The device receives this response and immediately displays it to the user. For example, the user is presented with an animated elephant ear and a detailed text description of its function. If the user touches another part, the same process is repeated and related information is immediately displayed.

[0042] Specific examples

[0043] Use in museums

[0044] When a user touches a dinosaur model on a museum display terminal, the terminal detects the action and sends the touch position information to a server. The server then searches a database for information about the dinosaur's head and uses generative AI to generate an animation of the dinosaur's head. This allows users to learn about how dinosaurs feed and the skeletal structure of their heads through animation.

[0045] Use in school teaching materials

[0046] When a teacher teaches a class about the ecology of frogs, they have students touch a frog's leg while using a digital textbook. The device detects the touch and sends a request to the server. The server retrieves information related to the frog's leg from a database and uses generative AI to generate an animation showing the movement and muscle structure of the frog's leg. This allows students to visually understand how the frog's leg moves.

[0047] In this way, the e-Touch system of the present invention can provide an intuitive and effective learning experience by providing real-time information generated based on the user's touch operations.The specific components and processes of the present invention make it possible to effectively and efficiently provide a wide range of knowledge to users.

[0048] The processing flow will be explained below.

[0049] Step 1:

[0050] The user touches the creatures or exhibits on the device's touch screen, and the target area is identified by the touch operation.

[0051] Step 2:

[0052] The device detects the user's touch operation and acquires information about the touch position and the object (e.g., an elephant's ear), which allows it to identify which part was touched.

[0053] Step 3:

[0054] Based on the information acquired by the device, the touch position and target information are compiled into a JSON-formatted request packet, which includes specific coordinates and target area information.

[0055] Step 4:

[0056] The terminal sends the generated request packet to the server. The packet is sent using the communication means and arrives at the server.

[0057] Step 5:

[0058] The server receives the request sent from the device and analyzes its contents. It identifies the touched object (e.g., an elephant's ear) from the contents of the request packet.

[0059] Step 6:

[0060] Based on the request, the server searches for information about the relevant object in a database that contains detailed information about living creatures and exhibits.

[0061] Step 7:

[0062] The server uses a generative AI based on information retrieved from the database to generate the necessary animations and visual information in real time. The generative AI then creates the specific animations.

[0063] Step 8:

[0064] The server then assembles the generated animation and related information into a response packet, which contains the generated animation file and explanatory text.

[0065] Step 9:

[0066] The server sends a response packet to the terminal, which then arrives at the terminal via the communication means.

[0067] Step 10:

[0068] The device receives the response sent from the server, analyzes its contents, and displays the information based on the analyzed information.

[0069] Step 11:

[0070] The device presents the generated animation and related information to the user. The animation is played on the screen, and text information is displayed simultaneously.

[0071] Step 12:

[0072] If the user views additional information or touches another area, the process starts again from step 1.

[0073] Example 1

[0074] 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."

[0075] Digital learning systems are required to provide relevant information instantly in response to user operations. However, conventional systems often fail to provide information based on touch operations in a sufficiently real-time manner, making it difficult for users to gain an intuitive learning experience. Furthermore, there is a lack of technology for generating detailed animations and visual information about the object, which limits the learning effect.

[0076] 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.

[0077] In this invention, the server includes means for detecting a user's touch operation, means for collecting and transmitting information about the touch position and the touch target to the server, means for the server to analyze the request sent from the terminal, means for searching detailed information from a database, means for generating visual information and animation in real time using a generative AI model, and means for presenting the generated information to the user. This makes it possible to instantly provide real-time visual information such as detailed animation and text information based on the user's touch operation.

[0078] "User" refers to a person who operates the system.

[0079] "Touch operation" refers to a physical input action performed by a user via the touch panel of a terminal.

[0080] A "terminal" refers to a computer system, such as a mobile device or a fixed device, operated by a user.

[0081] A "server" refers to a centralized computer system that receives and analyzes requests sent from terminals.

[0082] A "request" refers to request data sent from a terminal to a server.

[0083] A "generative AI model" refers to a type of artificial intelligence that generates visual information and animations based on user requests.

[0084] A "database" refers to a collection of information that stores information about living creatures and exhibits in the form of text, images, videos, etc.

[0085] "Visual information" refers to data such as images and animations that are visually presented to the user.

[0086] "Real-time" refers to data processing and information presentation occurring instantly with little delay.

[0087] "Animation" refers to a visual representation that dynamically shows the movement or internal structure of an object.

[0088] The "touch position" refers to the specific location on the device screen where the user touches the screen with their finger or pen.

[0089] A "touch target" refers to a specific object or area that a user selects or operates on the device screen.

[0090] "Analysis" refers to the process of interpreting the content of a received request and determining the corresponding action.

[0091] "Detailed information" refers to information that contains more in-depth knowledge or explanation about a particular object or part.

[0092] "Communication means" refers to the technology and protocols used to send and receive information between a server and a terminal.

[0093] "Real-time processing means" refers to technology that processes data instantly in response to user operations.

[0094] To implement this invention, it is necessary to build a digital teaching material system (hereinafter referred to as the e-Touch system). The e-Touch system detects the user's touch operations and generates and provides related information in real time based on those touch operations. Specifically, the invention is implemented by the following procedure.

[0095] When a user touches a device, that touch triggers the system to start operating. The device uses touch panel technology to detect the user's touch and its location. For example, if a user touches an "elephant's ear" on the screen, data about the location and the touch target (elephant's ear) is collected.

[0096] The device then sends the collected information to the server, which then packages it into a data packet and sends it to the server via a communication medium. The server receives the data packet and analyzes the request, searching a database for relevant details based on the received information.

[0097] The server pulls detailed information about "Elephant Ear" from a database containing text, images, and videos about animals and exhibits. The information is then transformed in real time into animations and visuals using a generative AI model (e.g., OpenAI's GPT-4) on the server.

[0098] The generative AI model generates specific visual information and animations based on user requests. An appropriate prompt is input to the model. For example, the prompt might be, "Generate an animation of the internal structure and movement of an elephant's ear."

[0099] The generated visual information is sent from the server to the device as a response. The device receives this response and immediately displays it to the user. Specifically, an "elephant ear animation" and a "detailed text explanation of the function of the elephant ear" are displayed on the device screen. If the user touches another part of the device (for example, the elephant's foot), related information is immediately displayed through a similar process.

[0100] Specific examples

[0101] Use in museums

[0102] When a user touches a dinosaur model on a museum display terminal, the terminal detects the touch and sends the touch location information to a server. The server then searches a database for information about the dinosaur's head and uses generative AI to generate an animation of the dinosaur's head. This allows users to learn how dinosaurs feed and the skeletal structure of their heads through animation.

[0103] Use in school teaching materials

[0104] When a teacher teaches a class about the ecology of frogs, they have students touch a frog's leg while using a digital textbook. The device detects the touch and sends a request to the server. The server retrieves information related to the frog's leg from a database and uses generative AI to generate an animation showing the movement and muscle structure of the frog's leg. This allows students to visually understand how the frog's leg moves.

[0105] Prompt Sentence Examples

[0106] "When a user touches an exhibit on the screen, generate and present detailed information and animation about that exhibit. For example, if the user touches an 'elephant's ear,' create an animation about its function and internal structure."

[0107] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0108] Step 1:

[0109] The user touches the screen of the device.

[0110] Input: User touch operation (e.g., touching "elephant ears")

[0111] Output: Touch position information and touch target information

[0112] Specific operation: The user touches the "elephant's ear" part on the device screen with their finger. The device uses touch panel technology to detect the touch position (coordinates) and the touch target (elephant's ear).

[0113] Step 2:

[0114] The device collects touch information and sends it to the server.

[0115] Input: Touch position information and touch target information

[0116] Output: Data packet sent to the server

[0117] Specific operation: The terminal compiles the detected touch position and touch target information into a data packet and sends it to the server via a communication means.

[0118] Step 3:

[0119] The server receives and analyzes the request from the terminal.

[0120] Input: Data packets sent from the device

[0121] Output: Analysis results (information about the touch target)

[0122] What happens: The server analyzes the received data packet to identify detailed information about the "elephant ear." This analysis includes matching the touch location and touch target.

[0123] Step 4:

[0124] The server retrieves the relevant information from a database.

[0125] Input: Analysis results (information about the touch target)

[0126] Output: More information about "elephant ears"

[0127] Specific operation: The server searches the database based on the analysis results and retrieves text and image data related to "elephant ears."

[0128] Step 5:

[0129] The server uses generative AI models to generate visual information and animations.

[0130] Input: More information about "elephant ears", prompt

[0131] Output: Generated animation and visual information

[0132] Specific operation: The generative AI model (e.g., GPT-4) is given the prompt, "Generate an animation of the internal structure and movement of an elephant's ear," and animation data and a detailed text description are generated.

[0133] Step 6:

[0134] The server transmits the generated information to the terminal as a response.

[0135] Input: Generated animation and visual information

[0136] Output: Sending data packets to the device

[0137] Specific operation: A data packet containing the generated animation data and text description is compiled and sent to the terminal via a communication means.

[0138] Step 7:

[0139] The terminal receives the response from the server and displays it to the user.

[0140] Input: Data packet sent from the server

[0141] Output: Visual information and textual descriptions displayed to the user

[0142] What it does: It displays an animated elephant ear and a detailed text description of the elephant ear's function in real time on the device screen. If the user touches another part of the device (e.g., the elephant's foot), the same process is repeated.

[0143] (Application example 1)

[0144] 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."

[0145] In traditional brick-and-mortar stores, customers lacked the means to intuitively and quickly obtain detailed product information and usage instructions. Furthermore, sales staff were not always available, and customers had to spend time researching information on their own. This resulted in reduced speed and accuracy of purchasing decisions, making it difficult to improve customer satisfaction.

[0146] 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.

[0147] In this invention, the server includes a means for detecting a user's touch operation, a means for generating related information using a generation AI based on the touch operation, and a means for presenting the generated information to the user. This makes it possible to detect an operation by touching a product or scanning a QR code (registered trademark) with a smartphone, and display product information in real time.

[0148] A "user touch operation" is an operation performed by a user using a touchscreen device such as a smartphone or tablet by touching a specific position or object on the screen.

[0149] "Generative AI" is an artificial intelligence technology that automatically generates text, images, and videos based on input data.

[0150] "Related information" is data that includes detailed information, explanations, animations, and the like about a specific object, which is generated based on a user's operation.

[0151] "Operations by touching a product or scanning a QR code with a smartphone" refers to operations in which a customer uses a smartphone to touch and select a product or read a QR code in a physical store.

[0152] The "target object" is an object such as a specific product or exhibit that the user touches.

[0153] A "database" is an information management system for systematically storing information about products, exhibits, etc. in the form of text, images, and videos.

[0154] "Generating in real time" refers to the process of instantly generating and displaying necessary information and animations in response to user operations.

[0155] "Communication means" refers to the network infrastructure for sending and receiving information between a server and a device such as a smartphone.

[0156] "Product information" refers to information including a detailed description of the product, ingredients, instructions for use, related animations, etc.

[0157] This invention is a system that instantly provides detailed product information and animations of how to use a product when a customer touches the product or scans the QR code in a physical store. To achieve this, it applies the technology of the digital educational system (e-Touch system) to generate and display information in real time based on the user's touch operation.

[0158] Hardware and software used

[0159] Hardware:

[0160] Smartphone (general smartphone device), server (cloud server or local server)

[0161] software:

[0162] Client-side application: Mobile application using React Native

[0163] Server side: API server using Node.js and Express

[0164] Database: MongoDB

[0165] Generative AI models: OpenAI GPT-4, DALL-E

[0166] System operation procedure

[0167] 1. Detecting user touch actions

[0168] A user uses a smartphone in a physical store to touch a product or scan a QR code.

[0169] The smartphone app detects user operations and collects touch position information or QR code information.

[0170] 2. Sending a request to the server

[0171] The smartphone sends the collected information to the server in JSON format.

[0172] 3. Information analysis and generation on the server

[0173] The server analyzes the received request and searches the database (MongoDB) for the corresponding product information.

[0174] Using generative AI models (OpenAI GPT-4, DALL-E), product details and animations are generated in real time.

[0175] 4. Provision and display of information

[0176] The information generated on the server is sent as a response to the smartphone in JSON format.

[0177] The smartphone analyzes the received information and displays animations and text related to the product to the user.

[0178] Specific examples

[0179] For example, when a user picks up a skincare product in a physical store and scans the QR code with their smartphone, detailed information about the product (ingredients, usage, effects, etc.) is displayed in real time. Furthermore, a generative AI model is used to generate an animation explaining how to use the product, providing the user with a visually easy-to-understand presentation.

[0180] Example prompt sentence:

[0181] Product name: "Elephant Ear Cream"

[0182] Prompt: "Write a detailed description of this product in Japanese. Also, generate an animation on how to use it."

[0183] Data processing and calculation

[0184] Smartphone

[0185] Touch position and QR code information is collected and sent to the server in JSON format.

[0186] server

[0187] Analyze the received data.

[0188] Search for relevant product information from MongoDB.

[0189] Text generation is performed using OpenAI GPT-4 and animation generation is performed using DALL-E.

[0190] The generated information is returned to the client in JSON format.

[0191] Smartphone

[0192] Analyze the received JSON data and display the necessary animations and text.

[0193] Such systems allow customers to instantly obtain detailed product information and make quick purchasing decisions.

[0194] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0195] Step 1:

[0196] A user uses a smartphone in a physical store to touch a product or scan a QR code.

[0197] Input: Touch location information or QR code information

[0198] Output: Collected touch location information or QR code information

[0199] Specific operation: The user scans the QR code with the smartphone camera or touches the product. The smartphone app detects this action and collects touch position information or scanned QR code information.

[0200] Step 2:

[0201] The smartphone sends the collected information to the server in JSON format.

[0202] Input: Collected touch location information or QR code information

[0203] Output: JSON data sent to the server

[0204] Specific operation: The smartphone app converts the collected touch position information or QR code information into JSON format and sends it to the server via the network.

[0205] Step 3:

[0206] The server analyzes the received request and searches the database (MongoDB) for the corresponding product information.

[0207] Input: JSON data sent to the server

[0208] Output: Product information retrieved from the database

[0209] Specific operation: The server parses the JSON data to extract the product ID and touch position information. Based on that information, it searches for and retrieves the corresponding product data (text, images, videos) from MongoDB.

[0210] Step 4:

[0211] Using generative AI models (OpenAI GPT-4, DALL-E), product details and animations are generated in real time.

[0212] Input: Product information retrieved from the database

[0213] Output: Generated detailed information and animation data

[0214] Specific operation: Based on the acquired product data, the server sends a prompt to OpenAI GPT-4 to generate detailed information. It also requests DALL-E to generate product images and usage animations to create visual content. For the product "Elephant Ear Cream," the following prompt is sent to the generative AI model: "Please write a detailed description of this product in Japanese. Also, please generate an animation showing how to use it."

[0215] Step 5:

[0216] The information generated on the server is sent as a response to the smartphone in JSON format.

[0217] Input: Generated detailed information and animation data

[0218] Output: JSON data sent to the smartphone

[0219] How it works: The server combines the generated details and animation data, encodes them into JSON format, and then sends the JSON data back to the smartphone via the network.

[0220] Step 6:

[0221] The smartphone analyzes the received information and displays animations and text related to the product to the user.

[0222] Input: JSON data sent from the server

[0223] Output: Detailed information and animation displayed on the smartphone screen

[0224] How it works: The smartphone parses the received JSON data, extracts product information and animations, and then displays detailed descriptions and animations on the screen to help users visually understand the information.

[0225] 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.

[0226] This invention is a digital teaching material system (e-Touch system) that detects the user's touch operation, generates related information using a generation AI, and presents it to the user, and further combines it with an emotion engine that recognizes the user's emotions. The program processing and specific examples of this system are explained below.

[0227] System Overview

[0228] This system operates when the user operates the device. When the user touches a creature or exhibit on the touch screen, the device detects the action. The device then sends information about the touch position and the object to the server. In addition, an emotion engine that recognizes the user's emotions analyzes the emotions from the user's face and voice and sends this information to the server.

[0229] Server-side processing

[0230] The server receives the request sent from the device and analyzes the request content and the analysis results from the emotion engine. For example, if the user touches the "elephant ear" and is analyzed as being in an excited emotional state, the server searches the database for detailed information about the "elephant ear" and selects a method of providing information appropriate to that emotional state (for example, a more visually stimulating animation).

[0231] The server then uses generative AI to generate the necessary animations and visual information in real time. Based on the user's request and emotional state, the generative AI creates animations that detail the movement and internal structure of specific objects. For example, an excited user might see an animation of an elephant's ears sensing the wind, creating a highly conductive effect.

[0232] The generated information is sent from the server to the device as a response, and the device receives the response and immediately displays it to the user, providing the user with an animated elephant ear and a detailed text description of its function, while optimizing the content according to the user's emotions.

[0233] Specific examples

[0234] Use in museums

[0235] When a user using a museum display terminal touches a dinosaur model and shows an interested expression, the terminal detects the operation and emotional state and transmits it to the server. The server then searches the database for detailed information about the dinosaur's head and uses generative AI to generate a detailed and vivid dinosaur head animation for the interested user. Through this process, users can learn how dinosaurs feed and the skeletal structure of their heads with real-time animation.

[0236] Use in school teaching materials

[0237] In a lesson on the ecology of frogs, if a student uses a digital textbook to touch a frog's legs and shows a happy expression, the device will detect the touch action and emotional state and send it to the server. The server will then retrieve information related to the frog's legs from a database and use generative AI to generate a fun animation showing the frog's leg movements that is appropriate for the student who is enjoying it. This allows students to understand the movement and muscle structure of a frog's legs visually and in a fun way.

[0238] In this way, the e-Touch system of the present invention provides real-time information generated based on the user's touch operations, and further customizes the information provided by recognizing the user's emotions, thereby providing an intuitive and effective learning experience.The specific components and processes of the present invention make it possible to effectively and efficiently provide a wide range of knowledge to users.

[0239] The processing flow will be explained below.

[0240] Step 1:

[0241] Users touch animals and exhibits using the device's touchscreen, and their facial expressions and voices are simultaneously captured.

[0242] Step 2:

[0243] The device detects touch operations and acquires information about the touch position and the object (e.g., an elephant's ear).The emotion engine then analyzes the user's facial expressions and voice to identify their emotional state.

[0244] Step 3:

[0245] The device compiles the touch position, object information, and the analyzed user's emotional state into a JSON-formatted request packet, for example, {"object": "elephant", "part": "ear", "emotion": "excited", "coordinates": {"x": 150, "y": 200}}.

[0246] Step 4:

[0247] The terminal sends the generated request packet to the server. The packet is sent using a communication means.

[0248] Step 5:

[0249] The server receives the request sent from the device and analyzes its contents. From the contents of the request packet, it recognizes the touched object (e.g., elephant's ear) and the user's emotional state (e.g., excited).

[0250] Step 6:

[0251] Based on the request and the user's emotional state, the server searches for information about the relevant object from a database containing detailed information about living creatures and exhibits.

[0252] Step 7:

[0253] Based on the information retrieved from the database, the server uses generative AI to generate the necessary animations and visual information in real time. Based on the user's request and emotional state, the generative AI creates animations that show the object's movement and internal structure in detail. For example, for an excited user, it generates an animation that clearly shows the movement and function of an elephant's ears.

[0254] Step 8:

[0255] The server then packages the generated animation and related information into a response packet, which contains the generated animation file and explanatory text.

[0256] Step 9:

[0257] The server sends a response packet to the terminal, which then arrives at the terminal via the communication means.

[0258] Step 10:

[0259] The device receives the response sent from the server, analyzes its contents, and displays the information based on the analyzed information.

[0260] Step 11:

[0261] The device then presents the generated animation and related information to the user. The animation is played on the screen, and text information is displayed simultaneously. The method of presenting information is also adjusted according to the user's emotions.

[0262] Step 12:

[0263] If the user views additional information or touches another area, the process starts again from step 1.

[0264] Example 2

[0265] 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."

[0266] Conventional digital learning systems provide information based on user touch operations, but do not optimize information according to the user's emotional state. This limits the learning effect and makes it difficult to provide an intuitive and effective learning experience tailored to each individual user.

[0267] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for detecting a user's touch operation, means for generating related information by a generation AI based on the touch operation, means for presenting the generated information to the user, means for recognizing the emotional state of the user by analyzing the user's facial expression and voice, and means for selecting an optimal information format based on the emotional state. This makes it possible to provide information that is optimized in real time based on the user's touch operation and emotional state.

[0268] A "user touch action" is a tactile input that a user makes to an object using a touchscreen or other interface.

[0269] "Generative AI" is an artificial intelligence model that automatically generates relevant information and content based on user input and requests.

[0270] "Related information" refers to data or content provided in response to a user's touch operation or request, and includes formats such as text, images, videos, and animations.

[0271] The "emotional state" is an emotional state determined by analyzing the user's facial expression and voice, and includes, for example, excitement, joy, interest, and the like.

[0272] The "database" is a computerized facility for storing and managing various information about living creatures and exhibits, and holds information in the form of text, images, and videos.

[0273] "Real-time processing" refers to a processing procedure for instantly generating and providing information in response to a user's operations and emotional state.

[0274] "Communication means" refers to the network infrastructure for transmitting and receiving information between the server and the terminal, and includes wired or wireless communication methods.

[0275] An "animation" is a continuous sequence of automatically generated images that visually represents the movement or behavior of an object.

[0276] "Terminal" refers to an electronic device that a user operates and that displays information, including devices with touch screens.

[0277] A "server" is a computing device that receives requests from users, processes the information using a database or generative AI, and provides the information to a terminal.

[0278] MODE FOR CARRYING OUT THE INVENTION

[0279] This invention relates to a digital learning system that generates and provides appropriate information in real time based on a user's touch operations and emotional state. The specific operation of the program of this system and the hardware and software required to realize it are described below.

[0280] System configuration

[0281] The system consists of the following main components:

[0282] 1. Terminal (touch detection device):

[0283] Electronic devices with touchscreens.

[0284] Detects user touch operations and obtains location information and object information.

[0285] It has a built-in emotion engine that analyzes the user's facial expressions and voice to recognize their emotional state.

[0286] 2. Server:

[0287] Receives and analyzes touch operation and emotional state data.

[0288] Search for detailed information about an object from a database.

[0289] Utilizing generative AI models, it generates real-time animations and visual information tailored to the user.

[0290] The generated information is sent to the terminal.

[0291] 3. Database:

[0292] Stores information about animals and exhibits in the form of text, images, and videos.

[0293] It is used to search for information according to user operations.

[0294] 4. Means of communication:

[0295] Network infrastructure for sending and receiving information between servers and terminals.

[0296] Supports wired and wireless communication methods.

[0297] Program processing

[0298] How it works

[0299] 1. Detecting user touch actions:

[0300] The user operates the touch screen of the device and touches a specific object (e.g., a living creature or exhibit).

[0301] The device obtains the touch position, the ID of the touched object, the touch time, etc.

[0302] 2. Emotion Recognition:

[0303] The emotion engine captures the user's face and voice using a camera and microphone and analyzes them in real time.

[0304] Based on the analysis results, the device recognizes the user's emotional state (e.g., excited, having fun).

[0305] 3. Sending data to the server:

[0306] The terminal transmits the acquired touch data and emotion data to the server.

[0307] 4. Server data analysis and generation AI:

[0308] The server analyzes the received data and determines the corresponding content.

[0309] Search for detailed information about an object from a database.

[0310] It uses generative AI models to generate animations and visual information based on the user's requests and emotional state.

[0311] Specific examples

[0312] Examples of use in museums

[0313] When a user touches the head of the dinosaur model, the device records the touch position and time and sends it to the server.

[0314] The emotion engine determines that the user is "excited" based on their facial expression.

[0315] The server retrieves detailed information about the dinosaur's head from a database and uses generative AI to generate real-time dinosaur head animations.

[0316] The terminal displays the generated animation to the user, enhancing the user's learning experience.

[0317] Examples of use in school teaching materials

[0318] Students touch the frog's legs in a digital textbook and show happy expressions.

[0319] The device detects the user's actions and emotional state and transmits the data to the server.

[0320] The server retrieves data related to the frog's legs and uses generative AI to generate fun animations.

[0321] The device displays this animation to students, helping them to understand the movement of a frog's legs and muscle structure in a visually engaging way.

[0322] Examples of prompt statements

[0323] Examples of prompts for generative AI models include:

[0324] "The user touches the elephant's ear and gets excited. Please explain the movement of the elephant's ear in detail and generate an interesting animation."

[0325] As a result, the system of the present invention can generate and provide optimal information in real time based on the user's touch operations and emotional state, providing an intuitive and effective learning experience.

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

[0327] Step 1:

[0328] The user performs a touch operation

[0329] Input: The user touches a specific object (e.g., a creature or exhibit) on the device's touchscreen.

[0330] Specific action: A user touches the head of a dinosaur model in a museum.

[0331] Output: The device receives data such as the touch position, the ID of the touched object, and the touch time.

[0332] Step 2:

[0333] Emotion recognition

[0334] Input: The emotion engine captures the user's face and voice using a camera and microphone and analyzes emotions in real time.

[0335] What it does: The emotion engine reads the user's facial expressions and analyzes the tone of their voice.

[0336] Output: Generates user emotion data (e.g., excitement, joy, interest, etc.).

[0337] Step 3:

[0338] Sending data to the server

[0339] Input: Touch data and emotion data acquired by the device.

[0340] Specific operation: The device sends a data set such as "The user is touching the dinosaur's head and is excited" to the server.

[0341] Output: The server receives the touch data and emotion data.

[0342] Step 4:

[0343] Server data analysis

[0344] Input: Touch and emotion data.

[0345] What happens: The server searches the database for detailed information about the touched object.

[0346] Output: Detailed information about the object is obtained (e.g., information about the dinosaur's head).

[0347] Step 5:

[0348] Utilizing generative AI

[0349] Input: User request and emotional state, detailed information about the object.

[0350] Specific behavior: The generative AI model generates animations and visual information that are optimal for the user based on the prompt. For example, the prompt to the generative AI model is, "The user is touching the elephant's ear and is excited. Please provide a detailed explanation of the elephant's ear movement and generate an interesting animation."

[0351] Output: Animations and visuals generated in real time.

[0352] Step 6:

[0353] Serving generated content

[0354] Input: Animations and visual information generated by a generative AI model.

[0355] Specific operation: The server sends the generated information to the terminal.

[0356] Output: The device immediately displays the information it receives to the user. For example, the device displays an animated dinosaur head on the screen.

[0357] These steps enable a learning experience that is optimized in real time based on the user's touch and emotional state.

[0358] (Application example 2)

[0359] 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."

[0360] Conventional automotive infotainment systems only provide information based on user touch operations and do not take into account the user's emotional state, making it impossible to provide optimal information to the user. Furthermore, even when the user is feeling nervous or anxious, only uniform information is presented, which hinders efforts to improve the user experience.

[0361] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0362] In this invention, the server includes means for detecting a user's touch operation, means for generating related information by a generation AI based on the touch operation, means for presenting the generated information to the user, emotion analysis means for recognizing the user's emotion, means for adjusting the information presentation method based on the emotion analysis result, and communication means for transmitting the user's touch operation and emotional state to the server, thereby enabling information provision that takes into account the user's touch operation and emotional state.

[0363] A "user's touch operation" is an act of a user making an input by physically touching a touch display or touch panel.

[0364] "Generative AI" is an artificial intelligence technology that automatically generates corresponding information based on user input.

[0365] "Related information" is data such as text, images, and videos that are provided in response to the user's touch operations and interests.

[0366] "Emotion analysis means" is a technology that analyzes input data such as the user's face and voice to identify the user's emotional state.

[0367] The "means for adjusting the method of presenting information" is a technology for changing the format and content of the information to be presented depending on the analyzed emotional state of the user.

[0368] "Communication means" refers to the technology used to send and receive data between a server and a terminal.

[0369] The "particular object" refers to an object or part that the user is interested in when performing a touch operation.

[0370] "Animation" is visual content that expresses movement using a series of images or videos.

[0371] "Real-time processing means" refers to technology that responds immediately to user input and instantly generates and presents results.

[0372] This invention is an infotainment system for autonomous vehicles that generates and provides relevant information based on a user's touch operations and emotional state. The configuration and operation of this system are described in detail below.

[0373] System configuration

[0374] The system of the present invention uses the following hardware and software:

[0375] Hardware:

[0376] Camera: Used to capture the user's face and voice.

[0377] Touch display / panel: Used to detect user touch actions.

[0378] software:

[0379] Emotion Engine: Used to analyze the user's facial and voice data to identify their emotional state.

[0380] AI Generator: Used to generate relevant information based on user touch actions.

[0381] Car Display: A display system inside a vehicle used to present information to the user.

[0382] How it works

[0383] 1. Face and voice capture

[0384] The server uses a camera installed inside the car to capture the user's face and voice data, which provides input data for the Emotion Engine to analyze the user's emotional state.

[0385] 2. Emotion analysis

[0386] The Emotion Engine analyzes the captured facial and voice data to identify the user's emotional state, for example, whether the user is nervous or excited.

[0387] 3. Touch detection

[0388] Detects user touch operations on the device's touch display / panel, identifies the touched location and object, and sends that information to the server.

[0389] 4. Information Generation

[0390] The AI ​​Generator generates relevant information based on touch operation information received from the server, and the generated information is provided in a form appropriate for the user's emotional state.

[0391] 5. Presentation of Information

[0392] The Car Display displays the generated information on a touch screen, and the display method is adjusted according to the user's emotional state, for example, providing visually dynamic animations to an excited user.

[0393] Specific examples

[0394] Here is a specific scenario:

[0395] When a user touches the destination input screen in an autonomous vehicle's infotainment system and appears nervous, the system operates as follows: The Emotion Engine analyzes facial data captured by the camera and identifies the nervous state. The AI ​​Generator then generates a guide for the nervous user on how to input their destination in a relaxed voice and displays it on the display.

[0396] Prompt Sentence Examples

[0397] If the user touches the destination input screen and feels "tense," generate a guide to help them relax.

[0398] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0399] Step 1:

[0400] A user operates a touch display within the infotainment system of an autonomous vehicle.

[0401] Input: User touch actions

[0402] Output: Touched position and object information

[0403] Specific action: The user taps on the destination input screen on the touch display.

[0404] Step 2:

[0405] The terminal detects the user's touch operation and obtains information about the position and object.

[0406] Input: Touched position and object information

[0407] Output: Touch operation information

[0408] What happens: The device's sensors identify the touch location and determine which user interface element was manipulated.

[0409] Step 3:

[0410] The device's camera captures the user's face and voice and sends the data to the Emotion Engine.

[0411] Input: User's face and voice data

[0412] Output: Input data required for sentiment analysis

[0413] Specific operation: The device's camera and microphone record the user's facial expressions and voice in real time.

[0414] Step 4:

[0415] The Emotion Engine analyzes the facial and voice data it receives to determine the user's emotional state.

[0416] Input: User's face and voice data

[0417] Output: Emotional state information

[0418] Specific operation: Based on the sensed data, an algorithm is executed to recognize emotions such as smiling, anger, and tension.

[0419] Step 5:

[0420] The terminal transmits the user's touch operation information and emotional state information to the server.

[0421] Input: User touch operation information and emotional state information

[0422] Output: Request data to the server

[0423] Specific operation: Data is transmitted from the terminal to the server via the network.

[0424] Step 6:

[0425] The server acquires data about the object from a database based on the touch operation information.

[0426] Input: Touch operation information

[0427] Output: Detailed information about the object

[0428] Specific operation: The server searches the database for relevant destination data based on the information touched on the destination input screen.

[0429] Step 7:

[0430] The server uses a generative AI to generate relevant information based on the acquired data and the user's emotional state.

[0431] Input: Detailed information about the object and its emotional state

[0432] Output: Emotion-related information (e.g., relaxation guidance)

[0433] Specific behavior: The generative AI model generates information that matches the emotional state (e.g., text and audio guidance on how to set a destination in a gentle voice).

[0434] Step 8:

[0435] The server transmits the generated information to the terminal.

[0436] Input: Emotion-related information

[0437] Output: Response data to the terminal

[0438] Specific operation: Data is sent from the server to the terminal in real time over the line.

[0439] Step 9:

[0440] The terminal presents the received information to the user.

[0441] Input: Response data from the server

[0442] Output: Information and guidance displayed to the user

[0443] Specific operation: Text and animations are displayed on the device's touch display, and generated audio guidance is played from the speaker.

[0444] 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.

[0445] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0446] 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.

[0447] [Second embodiment]

[0448] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0449] 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.

[0450] 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).

[0451] 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.

[0452] 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.

[0453] 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).

[0454] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0455] 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.

[0456] 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.

[0457] 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.

[0458] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0459] 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."

[0460] To implement this invention, it is necessary to build a digital teaching material system (e-Touch system). This system detects the user's touch operations and generates and provides related information in real time in response to those operations. The program processing and specific examples of this system are explained below.

[0461] First, the system starts up when the user operates the device. When the user touches a creature or exhibit on the screen, the touch operation is detected by the device. The device collects information about the touch position and the touch target and sends it to the server.

[0462] The server receives requests sent from the device and analyzes their contents. For example, if a user touches an "elephant's ear," that information is sent to the server, which searches a database for detailed information about the "elephant's ear." The server then uses a generative AI to generate the necessary animations and visual information in real time. Based on the user's request, the generative AI creates an animation that shows the movement and internal structure of a specific object in detail.

[0463] The generated information is sent from the server to the device as a response. The device receives this response and immediately displays it to the user. For example, the user is presented with an animated elephant ear and a detailed text description of its function. If the user touches another part, the same process is repeated and related information is immediately displayed.

[0464] Specific examples

[0465] Use in museums

[0466] When a user touches a dinosaur model on a museum display terminal, the terminal detects the action and sends the touch position information to a server. The server then searches a database for information about the dinosaur's head and uses generative AI to generate an animation of the dinosaur's head. This allows users to learn about how dinosaurs feed and the skeletal structure of their heads through animation.

[0467] Use in school teaching materials

[0468] When a teacher teaches a class about the ecology of frogs, they have students touch a frog's leg while using a digital textbook. The device detects the touch and sends a request to the server. The server retrieves information related to the frog's leg from a database and uses generative AI to generate an animation showing the movement and muscle structure of the frog's leg. This allows students to visually understand how the frog's leg moves.

[0469] In this way, the e-Touch system of the present invention can provide an intuitive and effective learning experience by providing real-time information generated based on the user's touch operations.The specific components and processes of the present invention make it possible to effectively and efficiently provide a wide range of knowledge to users.

[0470] The processing flow will be explained below.

[0471] Step 1:

[0472] The user touches the creatures or exhibits on the device's touch screen, and the target area is identified by the touch operation.

[0473] Step 2:

[0474] The device detects the user's touch operation and acquires information about the touch position and the object (e.g., an elephant's ear), which allows it to identify which part was touched.

[0475] Step 3:

[0476] Based on the information acquired by the device, the touch position and target information are compiled into a JSON-formatted request packet, which includes specific coordinates and target area information.

[0477] Step 4:

[0478] The terminal sends the generated request packet to the server. The packet is sent using the communication means and arrives at the server.

[0479] Step 5:

[0480] The server receives the request sent from the device and analyzes its contents. It identifies the touched object (e.g., an elephant's ear) from the contents of the request packet.

[0481] Step 6:

[0482] Based on the request, the server searches for information about the relevant object in a database that contains detailed information about living creatures and exhibits.

[0483] Step 7:

[0484] The server uses a generative AI based on information retrieved from the database to generate the necessary animations and visual information in real time. The generative AI then creates the specific animations.

[0485] Step 8:

[0486] The server then assembles the generated animation and related information into a response packet, which contains the generated animation file and explanatory text.

[0487] Step 9:

[0488] The server sends a response packet to the terminal, which then arrives at the terminal via the communication means.

[0489] Step 10:

[0490] The device receives the response sent from the server, analyzes its contents, and displays the information based on the analyzed information.

[0491] Step 11:

[0492] The device presents the generated animation and related information to the user. The animation is played on the screen, and text information is displayed simultaneously.

[0493] Step 12:

[0494] If the user views additional information or touches another area, the process starts again from step 1.

[0495] Example 1

[0496] 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."

[0497] Digital learning systems are required to provide relevant information instantly in response to user operations. However, conventional systems often fail to provide information based on touch operations in a sufficiently real-time manner, making it difficult for users to gain an intuitive learning experience. Furthermore, there is a lack of technology for generating detailed animations and visual information about the object, which limits the learning effect.

[0498] 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.

[0499] In this invention, the server includes means for detecting a user's touch operation, means for collecting and transmitting information about the touch position and the touch target to the server, means for the server to analyze the request sent from the terminal, means for searching detailed information from a database, means for generating visual information and animation in real time using a generative AI model, and means for presenting the generated information to the user. This makes it possible to instantly provide real-time visual information such as detailed animation and text information based on the user's touch operation.

[0500] "User" refers to a person who operates the system.

[0501] "Touch operation" refers to a physical input action performed by a user via the touch panel of a terminal.

[0502] A "terminal" refers to a computer system, such as a mobile device or a fixed device, operated by a user.

[0503] A "server" refers to a centralized computer system that receives and analyzes requests sent from terminals.

[0504] A "request" refers to request data sent from a terminal to a server.

[0505] A "generative AI model" refers to a type of artificial intelligence that generates visual information and animations based on user requests.

[0506] A "database" refers to a collection of information that stores information about living creatures and exhibits in the form of text, images, videos, etc.

[0507] "Visual information" refers to data such as images and animations that are visually presented to the user.

[0508] "Real-time" refers to data processing and information presentation occurring instantly with little delay.

[0509] "Animation" refers to a visual representation that dynamically shows the movement or internal structure of an object.

[0510] The "touch position" refers to the specific location on the device screen where the user touches the screen with their finger or pen.

[0511] A "touch target" refers to a specific object or area that a user selects or operates on the device screen.

[0512] "Analysis" refers to the process of interpreting the content of a received request and determining the corresponding action.

[0513] "Detailed information" refers to information that contains more in-depth knowledge or explanation about a particular object or part.

[0514] "Communication means" refers to the technology and protocols used to send and receive information between a server and a terminal.

[0515] "Real-time processing means" refers to technology that processes data instantly in response to user operations.

[0516] To implement this invention, it is necessary to build a digital teaching material system (hereinafter referred to as the e-Touch system). The e-Touch system detects the user's touch operations and generates and provides related information in real time based on those touch operations. Specifically, the invention is implemented by the following procedure.

[0517] When a user touches a device, that touch triggers the system to start operating. The device uses touch panel technology to detect the user's touch and its location. For example, if a user touches an "elephant's ear" on the screen, data about the location and the touch target (elephant's ear) is collected.

[0518] The device then sends the collected information to the server, which then packages it into a data packet and sends it to the server via a communication medium. The server receives the data packet and analyzes the request, searching a database for relevant details based on the received information.

[0519] The server pulls detailed information about "Elephant Ear" from a database containing text, images, and videos about animals and exhibits, and then uses a generative AI model (e.g., OpenAI's GPT-4) on the server to transform the information into animations and visualizations in real time.

[0520] The generative AI model generates specific visual information and animations based on user requests. An appropriate prompt is input to the model. For example, the prompt might be, "Generate an animation of the internal structure and movement of an elephant's ear."

[0521] The generated visual information is sent from the server to the device as a response. The device receives this response and immediately displays it to the user. Specifically, an "elephant ear animation" and a "detailed text explanation of the function of the elephant ear" are displayed on the device screen. If the user touches another part of the device (for example, the elephant's foot), related information is immediately displayed through a similar process.

[0522] Specific examples

[0523] Use in museums

[0524] When a user touches a dinosaur model on a museum display terminal, the terminal detects the touch and sends the touch location information to a server. The server then searches a database for information about the dinosaur's head and uses generative AI to generate an animation of the dinosaur's head. This allows users to learn how dinosaurs feed and the skeletal structure of their heads through animation.

[0525] Use in school teaching materials

[0526] When a teacher teaches a class about the ecology of frogs, they have students touch a frog's leg while using a digital textbook. The device detects the touch and sends a request to the server. The server retrieves information related to the frog's leg from a database and uses generative AI to generate an animation showing the movement and muscle structure of the frog's leg. This allows students to visually understand how the frog's leg moves.

[0527] Prompt Sentence Examples

[0528] "When a user touches an exhibit on the screen, generate and present detailed information and animation about that exhibit. For example, if the user touches an 'elephant's ear,' create an animation about its function and internal structure."

[0529] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0530] Step 1:

[0531] The user touches the screen of the device.

[0532] Input: User touch operation (e.g., touching "elephant ears")

[0533] Output: Touch position information and touch target information

[0534] Specific operation: The user touches the "elephant's ear" part on the device screen with their finger. The device uses touch panel technology to detect the touch position (coordinates) and the touch target (elephant's ear).

[0535] Step 2:

[0536] The device collects touch information and sends it to the server.

[0537] Input: Touch position information and touch target information

[0538] Output: Data packet sent to the server

[0539] Specific operation: The terminal compiles the detected touch position and touch target information into a data packet and sends it to the server via a communication means.

[0540] Step 3:

[0541] The server receives and analyzes the request from the terminal.

[0542] Input: Data packets sent from the device

[0543] Output: Analysis results (information about the touch target)

[0544] What happens: The server analyzes the received data packet to identify detailed information about the "elephant ear." This analysis includes matching the touch location and touch target.

[0545] Step 4:

[0546] The server retrieves the relevant information from a database.

[0547] Input: Analysis results (information about the touch target)

[0548] Output: More information about "elephant ears"

[0549] Specific operation: The server searches the database based on the analysis results and retrieves text and image data related to "elephant ears."

[0550] Step 5:

[0551] The server uses generative AI models to generate visual information and animations.

[0552] Input: More information about "elephant ears", prompt

[0553] Output: Generated animation and visual information

[0554] Specific operation: The generative AI model (e.g., GPT-4) is given the prompt, "Generate an animation of the internal structure and movement of an elephant's ear," and animation data and a detailed text description are generated.

[0555] Step 6:

[0556] The server transmits the generated information to the terminal as a response.

[0557] Input: Generated animation and visual information

[0558] Output: Sending data packets to the device

[0559] Specific operation: A data packet containing the generated animation data and text description is compiled and sent to the terminal via a communication means.

[0560] Step 7:

[0561] The terminal receives the response from the server and displays it to the user.

[0562] Input: Data packet sent from the server

[0563] Output: Visual information and textual descriptions displayed to the user

[0564] What it does: It displays an animated elephant ear and a detailed text description of the elephant ear's function in real time on the device screen. If the user touches another part of the device (e.g., the elephant's foot), the same process is repeated.

[0565] (Application example 1)

[0566] 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."

[0567] In traditional brick-and-mortar stores, customers lacked the means to intuitively and quickly obtain detailed product information and usage instructions. Furthermore, sales staff were not always available, and customers had to spend time researching information on their own. This resulted in reduced speed and accuracy of purchasing decisions, making it difficult to improve customer satisfaction.

[0568] 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.

[0569] In this invention, the server includes a means for detecting a user's touch operation, a means for generating related information using a generation AI based on the touch operation, and a means for presenting the generated information to the user. This makes it possible to detect an operation by touching a product or scanning a QR code with a smartphone and display product information in real time.

[0570] A "user touch operation" is an operation performed by a user using a touchscreen device such as a smartphone or tablet by touching a specific position or object on the screen.

[0571] "Generative AI" is an artificial intelligence technology that automatically generates text, images, and videos based on input data.

[0572] "Related information" is data that includes detailed information, explanations, animations, and the like about a specific object, which is generated based on a user's operation.

[0573] "Operations by touching a product or scanning a QR code with a smartphone" refers to operations in which a customer uses a smartphone to touch and select a product or read a QR code in a physical store.

[0574] The "target object" is an object such as a specific product or exhibit that the user touches.

[0575] A "database" is an information management system for systematically storing information about products, exhibits, etc. in the form of text, images, and videos.

[0576] "Generating in real time" refers to the process of instantly generating and displaying necessary information and animations in response to user operations.

[0577] "Communication means" refers to the network infrastructure for sending and receiving information between a server and a device such as a smartphone.

[0578] "Product information" refers to information including a detailed description of the product, ingredients, instructions for use, related animations, etc.

[0579] This invention is a system that instantly provides detailed product information and animations of how to use a product when a customer touches the product or scans the QR code in a physical store. To achieve this, it applies the technology of the digital educational system (e-Touch system) to generate and display information in real time based on the user's touch operation.

[0580] Hardware and software used

[0581] Hardware:

[0582] Smartphone (general smartphone device), server (cloud server or local server)

[0583] software:

[0584] Client-side application: Mobile application using React Native

[0585] Server side: API server using Node.js and Express

[0586] Database: MongoDB

[0587] Generative AI models: OpenAI GPT-4, DALL-E

[0588] System operation procedure

[0589] 1. Detecting user touch actions

[0590] A user uses a smartphone in a physical store to touch a product or scan a QR code.

[0591] The smartphone app detects user operations and collects touch position information or QR code information.

[0592] 2. Sending a request to the server

[0593] The smartphone sends the collected information to the server in JSON format.

[0594] 3. Information analysis and generation on the server

[0595] The server analyzes the received request and searches the database (MongoDB) for the corresponding product information.

[0596] Using generative AI models (OpenAI GPT-4, DALL-E), product details and animations are generated in real time.

[0597] 4. Provision and display of information

[0598] The information generated on the server is sent as a response to the smartphone in JSON format.

[0599] The smartphone analyzes the received information and displays animations and text related to the product to the user.

[0600] Specific examples

[0601] For example, when a user picks up a skincare product in a physical store and scans the QR code with their smartphone, detailed information about the product (ingredients, usage, effects, etc.) is displayed in real time. Furthermore, a generative AI model is used to generate an animation explaining how to use the product, providing the user with a visually easy-to-understand presentation.

[0602] Example prompt sentence:

[0603] Product name: "Elephant Ear Cream"

[0604] Prompt: "Write a detailed description of this product in Japanese. Also, generate an animation on how to use it."

[0605] Data processing and calculation

[0606] Smartphone

[0607] Touch position and QR code information is collected and sent to the server in JSON format.

[0608] server

[0609] Analyze the received data.

[0610] Search for relevant product information from MongoDB.

[0611] Text generation is performed using OpenAI GPT-4 and animation generation is performed using DALL-E.

[0612] The generated information is returned to the client in JSON format.

[0613] Smartphone

[0614] Analyze the received JSON data and display the necessary animations and text.

[0615] Such systems allow customers to instantly obtain detailed product information and make quick purchasing decisions.

[0616] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0617] Step 1:

[0618] A user uses a smartphone in a physical store to touch a product or scan a QR code.

[0619] Input: Touch location information or QR code information

[0620] Output: Collected touch location information or QR code information

[0621] Specific operation: The user scans the QR code with the smartphone camera or touches the product. The smartphone app detects this action and collects touch position information or scanned QR code information.

[0622] Step 2:

[0623] The smartphone sends the collected information to the server in JSON format.

[0624] Input: Collected touch location information or QR code information

[0625] Output: JSON data sent to the server

[0626] Specific operation: The smartphone app converts the collected touch position information or QR code information into JSON format and sends it to the server via the network.

[0627] Step 3:

[0628] The server analyzes the received request and searches the database (MongoDB) for the corresponding product information.

[0629] Input: JSON data sent to the server

[0630] Output: Product information retrieved from the database

[0631] Specific operation: The server parses the JSON data to extract the product ID and touch position information. Based on that information, it searches for and retrieves the corresponding product data (text, images, videos) from MongoDB.

[0632] Step 4:

[0633] Using generative AI models (OpenAI GPT-4, DALL-E), product details and animations are generated in real time.

[0634] Input: Product information retrieved from the database

[0635] Output: Generated detailed information and animation data

[0636] Specific operation: Based on the acquired product data, the server sends a prompt to OpenAI GPT-4 to generate detailed information. It also requests DALL-E to generate product images and usage animations to create visual content. For the product "Elephant Ear Cream," the following prompt is sent to the generative AI model: "Please write a detailed description of this product in Japanese. Also, please generate an animation showing how to use it."

[0637] Step 5:

[0638] The information generated on the server is sent as a response to the smartphone in JSON format.

[0639] Input: Generated detailed information and animation data

[0640] Output: JSON data sent to the smartphone

[0641] How it works: The server combines the generated details and animation data, encodes them into JSON format, and then sends the JSON data back to the smartphone via the network.

[0642] Step 6:

[0643] The smartphone analyzes the received information and displays animations and text related to the product to the user.

[0644] Input: JSON data sent from the server

[0645] Output: Detailed information and animation displayed on the smartphone screen

[0646] How it works: The smartphone parses the received JSON data, extracts product information and animations, and then displays detailed descriptions and animations on the screen to help users visually understand the information.

[0647] 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.

[0648] This invention is a digital teaching material system (e-Touch system) that detects the user's touch operation, generates related information using a generation AI, and presents it to the user, and further combines it with an emotion engine that recognizes the user's emotions. The program processing and specific examples of this system are explained below.

[0649] System Overview

[0650] This system operates when the user operates the device. When the user touches a creature or exhibit on the touch screen, the device detects the action. The device then sends information about the touch position and the object to the server. In addition, an emotion engine that recognizes the user's emotions analyzes the emotions from the user's face and voice and sends this information to the server.

[0651] Server-side processing

[0652] The server receives the request sent from the device and analyzes the request content and the analysis results from the emotion engine. For example, if the user touches the "elephant ear" and is analyzed as being in an excited emotional state, the server searches the database for detailed information about the "elephant ear" and selects a method of providing information appropriate to that emotional state (for example, a more visually stimulating animation).

[0653] The server then uses generative AI to generate the necessary animations and visual information in real time. Based on the user's request and emotional state, the generative AI creates animations that detail the movement and internal structure of specific objects. For example, an excited user might see an animation of an elephant's ears sensing the wind, creating a highly conductive effect.

[0654] The generated information is sent from the server to the device as a response, and the device receives the response and immediately displays it to the user, providing the user with an animated elephant ear and a detailed text description of its function, while optimizing the content according to the user's emotions.

[0655] Specific examples

[0656] Use in museums

[0657] When a user using a museum display terminal touches a dinosaur model and shows an interested expression, the terminal detects the operation and emotional state and transmits it to the server. The server then searches the database for detailed information about the dinosaur's head and uses generative AI to generate a detailed and vivid dinosaur head animation for the interested user. Through this process, users can learn how dinosaurs feed and the skeletal structure of their heads with real-time animation.

[0658] Use in school teaching materials

[0659] In a lesson on the ecology of frogs, if a student uses a digital textbook to touch a frog's legs and shows a happy expression, the device will detect the touch action and emotional state and send it to the server. The server will then retrieve information related to the frog's legs from a database and use generative AI to generate a fun animation showing the frog's leg movements that is appropriate for the student who is enjoying it. This allows students to understand the movement and muscle structure of a frog's legs visually and in a fun way.

[0660] In this way, the e-Touch system of the present invention provides real-time information generated based on the user's touch operations, and further customizes the information provided by recognizing the user's emotions, thereby providing an intuitive and effective learning experience.The specific components and processes of the present invention make it possible to effectively and efficiently provide a wide range of knowledge to users.

[0661] The processing flow will be explained below.

[0662] Step 1:

[0663] Users touch animals and exhibits using the device's touchscreen, and their facial expressions and voices are simultaneously captured.

[0664] Step 2:

[0665] The device detects touch operations and acquires information about the touch position and the object (e.g., an elephant's ear).The emotion engine then analyzes the user's facial expressions and voice to identify their emotional state.

[0666] Step 3:

[0667] The device compiles the touch position, object information, and the analyzed user's emotional state into a JSON-formatted request packet, for example, {"object": "elephant", "part": "ear", "emotion": "excited", "coordinates": {"x": 150, "y": 200}}.

[0668] Step 4:

[0669] The terminal sends the generated request packet to the server. The packet is sent using a communication means.

[0670] Step 5:

[0671] The server receives the request sent from the device and analyzes its contents. From the contents of the request packet, it recognizes the touched object (e.g., elephant's ear) and the user's emotional state (e.g., excited).

[0672] Step 6:

[0673] Based on the request and the user's emotional state, the server searches for information about the relevant object from a database containing detailed information about living creatures and exhibits.

[0674] Step 7:

[0675] Based on the information retrieved from the database, the server uses generative AI to generate the necessary animations and visual information in real time. Based on the user's request and emotional state, the generative AI creates animations that show the object's movement and internal structure in detail. For example, for an excited user, it generates an animation that clearly shows the movement and function of an elephant's ears.

[0676] Step 8:

[0677] The server then packages the generated animation and related information into a response packet, which contains the generated animation file and explanatory text.

[0678] Step 9:

[0679] The server sends a response packet to the terminal, which then arrives at the terminal via the communication means.

[0680] Step 10:

[0681] The device receives the response sent from the server, analyzes its contents, and displays the information based on the analyzed information.

[0682] Step 11:

[0683] The device then presents the generated animation and related information to the user. The animation is played on the screen, and text information is displayed simultaneously. The method of presenting information is also adjusted according to the user's emotions.

[0684] Step 12:

[0685] If the user views additional information or touches another area, the process starts again from step 1.

[0686] Example 2

[0687] 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."

[0688] Conventional digital learning systems provide information based on user touch operations, but do not optimize information according to the user's emotional state. This limits the learning effect and makes it difficult to provide an intuitive and effective learning experience tailored to each individual user.

[0689] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for detecting a user's touch operation, means for generating related information by a generation AI based on the touch operation, means for presenting the generated information to the user, means for recognizing the emotional state of the user by analyzing the user's facial expression and voice, and means for selecting an optimal information format based on the emotional state. This makes it possible to provide information that is optimized in real time based on the user's touch operation and emotional state.

[0690] A "user touch action" is a tactile input that a user makes to an object using a touchscreen or other interface.

[0691] "Generative AI" is an artificial intelligence model that automatically generates relevant information and content based on user input and requests.

[0692] "Related information" refers to data or content provided in response to a user's touch operation or request, and includes formats such as text, images, videos, and animations.

[0693] The "emotional state" is an emotional state determined by analyzing the user's facial expression and voice, and includes, for example, excitement, joy, interest, and the like.

[0694] The "database" is a computerized facility for storing and managing various information about living creatures and exhibits, and holds information in the form of text, images, and videos.

[0695] "Real-time processing" refers to a processing procedure for instantly generating and providing information in response to a user's operations and emotional state.

[0696] "Communication means" refers to the network infrastructure for transmitting and receiving information between the server and the terminal, and includes wired or wireless communication methods.

[0697] An "animation" is a continuous sequence of automatically generated images that visually represents the movement or behavior of an object.

[0698] "Terminal" refers to an electronic device that a user operates and that displays information, including devices with touch screens.

[0699] A "server" is a computing device that receives requests from users, processes the information using a database or generative AI, and provides the information to a terminal.

[0700] MODE FOR CARRYING OUT THE INVENTION

[0701] This invention relates to a digital learning system that generates and provides appropriate information in real time based on a user's touch operations and emotional state. The specific operation of the program of this system and the hardware and software required to realize it are described below.

[0702] System configuration

[0703] The system consists of the following main components:

[0704] 1. Terminal (touch detection device):

[0705] Electronic devices with touchscreens.

[0706] Detects user touch operations and obtains location information and object information.

[0707] It has a built-in emotion engine that analyzes the user's facial expressions and voice to recognize their emotional state.

[0708] 2. Server:

[0709] Receives and analyzes touch operation and emotional state data.

[0710] Search for detailed information about an object from a database.

[0711] Utilizing generative AI models, it generates real-time animations and visual information tailored to the user.

[0712] The generated information is sent to the terminal.

[0713] 3. Database:

[0714] Stores information about animals and exhibits in the form of text, images, and videos.

[0715] It is used to search for information according to user operations.

[0716] 4. Means of communication:

[0717] Network infrastructure for sending and receiving information between servers and terminals.

[0718] Supports wired and wireless communication methods.

[0719] Program processing

[0720] How it works

[0721] 1. Detecting user touch actions:

[0722] The user operates the touch screen of the device and touches a specific object (e.g., a living creature or exhibit).

[0723] The device obtains the touch position, the ID of the touched object, the touch time, etc.

[0724] 2. Emotion Recognition:

[0725] The emotion engine captures the user's face and voice using a camera and microphone and analyzes them in real time.

[0726] Based on the analysis results, the device recognizes the user's emotional state (e.g., excited, having fun).

[0727] 3. Sending data to the server:

[0728] The terminal transmits the acquired touch data and emotion data to the server.

[0729] 4. Server data analysis and generation AI:

[0730] The server analyzes the received data and determines the corresponding content.

[0731] Search for detailed information about an object from a database.

[0732] It uses generative AI models to generate animations and visual information based on the user's requests and emotional state.

[0733] Specific examples

[0734] Examples of use in museums

[0735] When a user touches the head of the dinosaur model, the device records the touch position and time and sends it to the server.

[0736] The emotion engine determines that the user is "excited" based on their facial expression.

[0737] The server retrieves detailed information about the dinosaur's head from a database and uses generative AI to generate real-time dinosaur head animations.

[0738] The terminal displays the generated animation to the user, enhancing the user's learning experience.

[0739] Examples of use in school teaching materials

[0740] Students touch the frog's legs in a digital textbook and show happy expressions.

[0741] The device detects the user's actions and emotional state and transmits the data to the server.

[0742] The server retrieves data related to the frog's legs and uses generative AI to generate fun animations.

[0743] The device displays this animation to students, helping them to understand the movement of a frog's legs and muscle structure in a visually engaging way.

[0744] Examples of prompt statements

[0745] Examples of prompts for generative AI models include:

[0746] "The user touches the elephant's ear and gets excited. Please explain the movement of the elephant's ear in detail and generate an interesting animation."

[0747] As a result, the system of the present invention can generate and provide optimal information in real time based on the user's touch operations and emotional state, providing an intuitive and effective learning experience.

[0748] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0749] Step 1:

[0750] The user performs a touch operation

[0751] Input: The user touches a specific object (e.g., a creature or exhibit) on the device's touchscreen.

[0752] Specific action: A user touches the head of a dinosaur model in a museum.

[0753] Output: The device receives data such as the touch position, the ID of the touched object, and the touch time.

[0754] Step 2:

[0755] Emotion recognition

[0756] Input: The emotion engine captures the user's face and voice using a camera and microphone and analyzes emotions in real time.

[0757] What it does: The emotion engine reads the user's facial expressions and analyzes the tone of their voice.

[0758] Output: Generates user emotion data (e.g., excitement, joy, interest, etc.).

[0759] Step 3:

[0760] Sending data to the server

[0761] Input: Touch data and emotion data acquired by the device.

[0762] Specific operation: The device sends a data set such as "The user is touching the dinosaur's head and is excited" to the server.

[0763] Output: The server receives the touch data and emotion data.

[0764] Step 4:

[0765] Server data analysis

[0766] Input: Touch and emotion data.

[0767] What happens: The server searches the database for detailed information about the touched object.

[0768] Output: Detailed information about the object is obtained (e.g., information about the dinosaur's head).

[0769] Step 5:

[0770] Utilizing generative AI

[0771] Input: User request and emotional state, detailed information about the object.

[0772] Specific behavior: The generative AI model generates animations and visual information that are optimal for the user based on the prompt. For example, the prompt to the generative AI model is, "The user is touching the elephant's ear and is excited. Please provide a detailed explanation of the elephant's ear movement and generate an interesting animation."

[0773] Output: Animations and visuals generated in real time.

[0774] Step 6:

[0775] Serving generated content

[0776] Input: Animations and visual information generated by a generative AI model.

[0777] Specific operation: The server sends the generated information to the terminal.

[0778] Output: The device immediately displays the information it receives to the user. For example, the device displays an animated dinosaur head on the screen.

[0779] These steps enable a learning experience that is optimized in real time based on the user's touch and emotional state.

[0780] (Application example 2)

[0781] 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."

[0782] Conventional automotive infotainment systems only provide information based on user touch operations and do not take into account the user's emotional state, making it impossible to provide optimal information to the user. Furthermore, even when the user is feeling nervous or anxious, only uniform information is presented, which hinders efforts to improve the user experience.

[0783] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0784] In this invention, the server includes means for detecting a user's touch operation, means for generating related information by a generation AI based on the touch operation, means for presenting the generated information to the user, emotion analysis means for recognizing the user's emotion, means for adjusting the information presentation method based on the emotion analysis result, and communication means for transmitting the user's touch operation and emotional state to the server, thereby enabling information provision that takes into account the user's touch operation and emotional state.

[0785] A "user's touch operation" is an act of a user making an input by physically touching a touch display or touch panel.

[0786] "Generative AI" is an artificial intelligence technology that automatically generates corresponding information based on user input.

[0787] "Related information" is data such as text, images, and videos that are provided in response to the user's touch operations and interests.

[0788] "Emotion analysis means" is a technology that analyzes input data such as the user's face and voice to identify the user's emotional state.

[0789] The "means for adjusting the method of presenting information" is a technology for changing the format and content of the information to be presented depending on the analyzed emotional state of the user.

[0790] "Communication means" refers to the technology used to send and receive data between a server and a terminal.

[0791] The "particular object" refers to an object or part that the user is interested in when performing a touch operation.

[0792] "Animation" is visual content that expresses movement using a series of images or videos.

[0793] "Real-time processing means" refers to technology that responds immediately to user input and instantly generates and presents results.

[0794] This invention is an infotainment system for autonomous vehicles that generates and provides relevant information based on a user's touch operations and emotional state. The configuration and operation of this system are described in detail below.

[0795] System configuration

[0796] The system of the present invention uses the following hardware and software:

[0797] Hardware:

[0798] Camera: Used to capture the user's face and voice.

[0799] Touch display / panel: Used to detect user touch actions.

[0800] software:

[0801] Emotion Engine: Used to analyze the user's facial and voice data to identify their emotional state.

[0802] AI Generator: Used to generate relevant information based on user touch actions.

[0803] Car Display: A display system inside a vehicle used to present information to the user.

[0804] How it works

[0805] 1. Face and voice capture

[0806] The server uses a camera installed inside the car to capture the user's face and voice data, which provides input data for the Emotion Engine to analyze the user's emotional state.

[0807] 2. Emotion analysis

[0808] The Emotion Engine analyzes the captured facial and voice data to identify the user's emotional state, for example, whether the user is nervous or excited.

[0809] 3. Touch detection

[0810] Detects user touch operations on the device's touch display / panel, identifies the touched location and object, and sends that information to the server.

[0811] 4. Information Generation

[0812] The AI ​​Generator generates relevant information based on touch operation information received from the server, and the generated information is provided in a form appropriate for the user's emotional state.

[0813] 5. Presentation of Information

[0814] The Car Display displays the generated information on a touch screen, and the display method is adjusted according to the user's emotional state, for example, providing visually dynamic animations to an excited user.

[0815] Specific examples

[0816] Here is a specific scenario:

[0817] When a user touches the destination input screen in an autonomous vehicle's infotainment system and appears nervous, the system operates as follows: The Emotion Engine analyzes facial data captured by the camera and identifies the nervous state. The AI ​​Generator then generates a guide for the nervous user on how to input their destination in a relaxed voice and displays it on the display.

[0818] Prompt Sentence Examples

[0819] If the user touches the destination input screen and feels "tense," generate a guide to help them relax.

[0820] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0821] Step 1:

[0822] A user operates a touch display within the infotainment system of an autonomous vehicle.

[0823] Input: User touch actions

[0824] Output: Touched position and object information

[0825] Specific action: The user taps on the destination input screen on the touch display.

[0826] Step 2:

[0827] The terminal detects the user's touch operation and obtains information about the position and object.

[0828] Input: Touched position and object information

[0829] Output: Touch operation information

[0830] What happens: The device's sensors identify the touch location and determine which user interface element was manipulated.

[0831] Step 3:

[0832] The device's camera captures the user's face and voice and sends the data to the Emotion Engine.

[0833] Input: User's face and voice data

[0834] Output: Input data required for sentiment analysis

[0835] Specific operation: The device's camera and microphone record the user's facial expressions and voice in real time.

[0836] Step 4:

[0837] The Emotion Engine analyzes the facial and voice data it receives to determine the user's emotional state.

[0838] Input: User's face and voice data

[0839] Output: Emotional state information

[0840] Specific operation: Based on the sensed data, an algorithm is executed to recognize emotions such as smiling, anger, and tension.

[0841] Step 5:

[0842] The terminal transmits the user's touch operation information and emotional state information to the server.

[0843] Input: User touch operation information and emotional state information

[0844] Output: Request data to the server

[0845] Specific operation: Data is transmitted from the terminal to the server via the network.

[0846] Step 6:

[0847] The server acquires data about the object from a database based on the touch operation information.

[0848] Input: Touch operation information

[0849] Output: Detailed information about the object

[0850] Specific operation: The server searches the database for relevant destination data based on the information touched on the destination input screen.

[0851] Step 7:

[0852] The server uses a generative AI to generate relevant information based on the acquired data and the user's emotional state.

[0853] Input: Detailed information about the object and its emotional state

[0854] Output: Emotion-related information (e.g., relaxation guidance)

[0855] Specific behavior: The generative AI model generates information that matches the emotional state (e.g., text and audio guidance on how to set a destination in a gentle voice).

[0856] Step 8:

[0857] The server transmits the generated information to the terminal.

[0858] Input: Emotion-related information

[0859] Output: Response data to the terminal

[0860] Specific operation: Data is sent from the server to the terminal in real time over the line.

[0861] Step 9:

[0862] The terminal presents the received information to the user.

[0863] Input: Response data from the server

[0864] Output: Information and guidance displayed to the user

[0865] Specific operation: Text and animations are displayed on the device's touch display, and generated audio guidance is played from the speaker.

[0866] 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.

[0867] 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.

[0868] 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.

[0869] [Third embodiment]

[0870] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0871] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0872] 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).

[0873] 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.

[0874] 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.

[0875] 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).

[0876] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0877] 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.

[0878] 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.

[0879] 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.

[0880] 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.

[0881] 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."

[0882] To implement this invention, it is necessary to build a digital teaching material system (e-Touch system). This system detects the user's touch operations and generates and provides related information in real time in response to those operations. The program processing and specific examples of this system are explained below.

[0883] First, the system starts up when the user operates the device. When the user touches a creature or exhibit on the screen, the touch operation is detected by the device. The device collects information about the touch position and the touch target and sends it to the server.

[0884] The server receives requests sent from the device and analyzes their contents. For example, if a user touches an "elephant's ear," that information is sent to the server, which searches a database for detailed information about the "elephant's ear." The server then uses a generative AI to generate the necessary animations and visual information in real time. Based on the user's request, the generative AI creates an animation that shows the movement and internal structure of a specific object in detail.

[0885] The generated information is sent from the server to the device as a response. The device receives this response and immediately displays it to the user. For example, the user is presented with an animated elephant ear and a detailed text description of its function. If the user touches another part, the same process is repeated and related information is immediately displayed.

[0886] Specific examples

[0887] Use in museums

[0888] When a user touches a dinosaur model on a museum display terminal, the terminal detects the action and sends the touch position information to a server. The server then searches a database for information about the dinosaur's head and uses generative AI to generate an animation of the dinosaur's head. This allows users to learn about how dinosaurs feed and the skeletal structure of their heads through animation.

[0889] Use in school teaching materials

[0890] When a teacher teaches a class about the ecology of frogs, they have students touch a frog's leg while using a digital textbook. The device detects the touch and sends a request to the server. The server retrieves information related to the frog's leg from a database and uses generative AI to generate an animation showing the movement and muscle structure of the frog's leg. This allows students to visually understand how the frog's leg moves.

[0891] In this way, the e-Touch system of the present invention can provide an intuitive and effective learning experience by providing real-time information generated based on the user's touch operations.The specific components and processes of the present invention make it possible to effectively and efficiently provide a wide range of knowledge to users.

[0892] The processing flow will be explained below.

[0893] Step 1:

[0894] The user touches the creatures or exhibits on the device's touch screen, and the target area is identified by the touch operation.

[0895] Step 2:

[0896] The device detects the user's touch operation and acquires information about the touch position and the object (e.g., an elephant's ear), which allows it to identify which part was touched.

[0897] Step 3:

[0898] Based on the information acquired by the device, the touch position and target information are compiled into a JSON-formatted request packet, which includes specific coordinates and target area information.

[0899] Step 4:

[0900] The terminal sends the generated request packet to the server. The packet is sent using the communication means and arrives at the server.

[0901] Step 5:

[0902] The server receives the request sent from the device and analyzes its contents. It identifies the touched object (e.g., an elephant's ear) from the contents of the request packet.

[0903] Step 6:

[0904] Based on the request, the server searches for information about the relevant object in a database that contains detailed information about living creatures and exhibits.

[0905] Step 7:

[0906] The server uses a generative AI based on information retrieved from the database to generate the necessary animations and visual information in real time. The generative AI then creates the specific animations.

[0907] Step 8:

[0908] The server then assembles the generated animation and related information into a response packet, which contains the generated animation file and explanatory text.

[0909] Step 9:

[0910] The server sends a response packet to the terminal, which then arrives at the terminal via the communication means.

[0911] Step 10:

[0912] The device receives the response sent from the server, analyzes its contents, and displays the information based on the analyzed information.

[0913] Step 11:

[0914] The device presents the generated animation and related information to the user. The animation is played on the screen, and text information is displayed simultaneously.

[0915] Step 12:

[0916] If the user views additional information or touches another area, the process starts again from step 1.

[0917] Example 1

[0918] 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."

[0919] Digital learning systems are required to provide relevant information instantly in response to user operations. However, conventional systems often fail to provide information based on touch operations in a sufficiently real-time manner, making it difficult for users to gain an intuitive learning experience. Furthermore, there is a lack of technology for generating detailed animations and visual information about the object, which limits the learning effect.

[0920] 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.

[0921] In this invention, the server includes means for detecting a user's touch operation, means for collecting and transmitting information about the touch position and the touch target to the server, means for the server to analyze the request sent from the terminal, means for searching detailed information from a database, means for generating visual information and animation in real time using a generative AI model, and means for presenting the generated information to the user. This makes it possible to instantly provide real-time visual information such as detailed animation and text information based on the user's touch operation.

[0922] "User" refers to a person who operates the system.

[0923] "Touch operation" refers to a physical input action performed by a user via the touch panel of a terminal.

[0924] A "terminal" refers to a computer system, such as a mobile device or a fixed device, operated by a user.

[0925] A "server" refers to a centralized computer system that receives and analyzes requests sent from terminals.

[0926] A "request" refers to request data sent from a terminal to a server.

[0927] A "generative AI model" refers to a type of artificial intelligence that generates visual information and animations based on user requests.

[0928] A "database" refers to a collection of information that stores information about living creatures and exhibits in the form of text, images, videos, etc.

[0929] "Visual information" refers to data such as images and animations that are visually presented to the user.

[0930] "Real-time" refers to data processing and information presentation occurring instantly with little delay.

[0931] "Animation" refers to a visual representation that dynamically shows the movement or internal structure of an object.

[0932] The "touch position" refers to the specific location on the device screen where the user touches the screen with their finger or pen.

[0933] A "touch target" refers to a specific object or area that a user selects or operates on the device screen.

[0934] "Analysis" refers to the process of interpreting the content of a received request and determining the corresponding action.

[0935] "Detailed information" refers to information that contains more in-depth knowledge or explanation about a particular object or part.

[0936] "Communication means" refers to the technology and protocols used to send and receive information between a server and a terminal.

[0937] "Real-time processing means" refers to technology that processes data instantly in response to user operations.

[0938] To implement this invention, it is necessary to build a digital teaching material system (hereinafter referred to as the e-Touch system). The e-Touch system detects the user's touch operations and generates and provides related information in real time based on those touch operations. Specifically, the invention is implemented by the following procedure.

[0939] When a user touches a device, that touch triggers the system to start operating. The device uses touch panel technology to detect the user's touch and its location. For example, if a user touches an "elephant's ear" on the screen, data about the location and the touch target (elephant's ear) is collected.

[0940] The device then sends the collected information to the server, which then packages it into a data packet and sends it to the server via a communication medium. The server receives the data packet and analyzes the request, searching a database for relevant details based on the received information.

[0941] The server pulls detailed information about "Elephant Ear" from a database containing text, images, and videos about animals and exhibits, and then uses a generative AI model (e.g., OpenAI's GPT-4) on the server to transform the information into animations and visualizations in real time.

[0942] The generative AI model generates specific visual information and animations based on user requests. An appropriate prompt is input to the model. For example, the prompt might be, "Generate an animation of the internal structure and movement of an elephant's ear."

[0943] The generated visual information is sent from the server to the device as a response. The device receives this response and immediately displays it to the user. Specifically, an "elephant ear animation" and a "detailed text explanation of the function of the elephant ear" are displayed on the device screen. If the user touches another part of the device (for example, the elephant's foot), related information is immediately displayed through a similar process.

[0944] Specific examples

[0945] Use in museums

[0946] When a user touches a dinosaur model on a museum display terminal, the terminal detects the touch and sends the touch location information to a server. The server then searches a database for information about the dinosaur's head and uses generative AI to generate an animation of the dinosaur's head. This allows users to learn how dinosaurs feed and the skeletal structure of their heads through animation.

[0947] Use in school teaching materials

[0948] When a teacher teaches a class about the ecology of frogs, they have students touch a frog's leg while using a digital textbook. The device detects the touch and sends a request to the server. The server retrieves information related to the frog's leg from a database and uses generative AI to generate an animation showing the movement and muscle structure of the frog's leg. This allows students to visually understand how the frog's leg moves.

[0949] Prompt Sentence Examples

[0950] "When a user touches an exhibit on the screen, generate and present detailed information and animation about that exhibit. For example, if the user touches an 'elephant's ear,' create an animation about its function and internal structure."

[0951] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0952] Step 1:

[0953] The user touches the screen of the device.

[0954] Input: User touch operation (e.g., touching "elephant ears")

[0955] Output: Touch position information and touch target information

[0956] Specific operation: The user touches the "elephant's ear" part on the device screen with their finger. The device uses touch panel technology to detect the touch position (coordinates) and the touch target (elephant's ear).

[0957] Step 2:

[0958] The device collects touch information and sends it to the server.

[0959] Input: Touch position information and touch target information

[0960] Output: Data packet sent to the server

[0961] Specific operation: The terminal compiles the detected touch position and touch target information into a data packet and sends it to the server via a communication means.

[0962] Step 3:

[0963] The server receives and analyzes the request from the terminal.

[0964] Input: Data packets sent from the device

[0965] Output: Analysis results (information about the touch target)

[0966] What happens: The server analyzes the received data packet to identify detailed information about the "elephant ear." This analysis includes matching the touch location and touch target.

[0967] Step 4:

[0968] The server retrieves the relevant information from a database.

[0969] Input: Analysis results (information about the touch target)

[0970] Output: More information about "elephant ears"

[0971] Specific operation: The server searches the database based on the analysis results and retrieves text and image data related to "elephant ears."

[0972] Step 5:

[0973] The server uses generative AI models to generate visual information and animations.

[0974] Input: More information about "elephant ears", prompt

[0975] Output: Generated animation and visual information

[0976] Specific operation: The generative AI model (e.g., GPT-4) is given the prompt, "Generate an animation of the internal structure and movement of an elephant's ear," and animation data and a detailed text description are generated.

[0977] Step 6:

[0978] The server transmits the generated information to the terminal as a response.

[0979] Input: Generated animation and visual information

[0980] Output: Sending data packets to the device

[0981] Specific operation: A data packet containing the generated animation data and text description is compiled and sent to the terminal via a communication means.

[0982] Step 7:

[0983] The terminal receives the response from the server and displays it to the user.

[0984] Input: Data packet sent from the server

[0985] Output: Visual information and textual descriptions displayed to the user

[0986] What it does: It displays an animated elephant ear and a detailed text description of the elephant ear's function in real time on the device screen. If the user touches another part of the device (e.g., the elephant's foot), the same process is repeated.

[0987] (Application example 1)

[0988] 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."

[0989] In traditional brick-and-mortar stores, customers lacked the means to intuitively and quickly obtain detailed product information and usage instructions. Furthermore, sales staff were not always available, and customers had to spend time researching information on their own. This resulted in reduced speed and accuracy of purchasing decisions, making it difficult to improve customer satisfaction.

[0990] 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.

[0991] In this invention, the server includes a means for detecting a user's touch operation, a means for generating related information using a generation AI based on the touch operation, and a means for presenting the generated information to the user. This makes it possible to detect an operation by touching a product or scanning a QR code with a smartphone and display product information in real time.

[0992] A "user touch operation" is an operation performed by a user using a touchscreen device such as a smartphone or tablet by touching a specific position or object on the screen.

[0993] "Generative AI" is an artificial intelligence technology that automatically generates text, images, and videos based on input data.

[0994] "Related information" is data that includes detailed information, explanations, animations, and the like about a specific object, which is generated based on a user's operation.

[0995] "Operations by touching a product or scanning a QR code with a smartphone" refers to operations in which a customer uses a smartphone to touch and select a product or read a QR code in a physical store.

[0996] The "target object" is an object such as a specific product or exhibit that the user touches.

[0997] A "database" is an information management system for systematically storing information about products, exhibits, etc. in the form of text, images, and videos.

[0998] "Generating in real time" refers to the process of instantly generating and displaying necessary information and animations in response to user operations.

[0999] "Communication means" refers to the network infrastructure for sending and receiving information between a server and a device such as a smartphone.

[1000] "Product information" refers to information including a detailed description of the product, ingredients, instructions for use, related animations, etc.

[1001] This invention is a system that instantly provides detailed product information and animations of how to use a product when a customer touches the product or scans the QR code in a physical store. To achieve this, it applies the technology of the digital educational system (e-Touch system) to generate and display information in real time based on the user's touch operation.

[1002] Hardware and software used

[1003] Hardware:

[1004] Smartphone (general smartphone device), server (cloud server or local server)

[1005] software:

[1006] Client-side application: Mobile application using React Native

[1007] Server side: API server using Node.js and Express

[1008] Database: MongoDB

[1009] Generative AI models: OpenAI GPT-4, DALL-E

[1010] System operation procedure

[1011] 1. Detecting user touch actions

[1012] A user uses a smartphone in a physical store to touch a product or scan a QR code.

[1013] The smartphone app detects user operations and collects touch position information or QR code information.

[1014] 2. Sending a request to the server

[1015] The smartphone sends the collected information to the server in JSON format.

[1016] 3. Information analysis and generation on the server

[1017] The server analyzes the received request and searches the database (MongoDB) for the corresponding product information.

[1018] Using generative AI models (OpenAI GPT-4, DALL-E), product details and animations are generated in real time.

[1019] 4. Provision and display of information

[1020] The information generated on the server is sent as a response to the smartphone in JSON format.

[1021] The smartphone analyzes the received information and displays animations and text related to the product to the user.

[1022] Specific examples

[1023] For example, when a user picks up a skincare product in a physical store and scans the QR code with their smartphone, detailed information about the product (ingredients, usage, effects, etc.) is displayed in real time. Furthermore, a generative AI model is used to generate an animation explaining how to use the product, providing the user with a visually easy-to-understand presentation.

[1024] Example prompt sentence:

[1025] Product name: "Elephant Ear Cream"

[1026] Prompt: "Write a detailed description of this product in Japanese. Also, generate an animation on how to use it."

[1027] Data processing and calculation

[1028] Smartphone

[1029] Touch position and QR code information is collected and sent to the server in JSON format.

[1030] server

[1031] Analyze the received data.

[1032] Search for relevant product information from MongoDB.

[1033] Text generation is performed using OpenAI GPT-4 and animation generation is performed using DALL-E.

[1034] The generated information is returned to the client in JSON format.

[1035] Smartphone

[1036] Analyze the received JSON data and display the necessary animations and text.

[1037] Such systems allow customers to instantly obtain detailed product information and make quick purchasing decisions.

[1038] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1039] Step 1:

[1040] A user uses a smartphone in a physical store to touch a product or scan a QR code.

[1041] Input: Touch location information or QR code information

[1042] Output: Collected touch location information or QR code information

[1043] Specific operation: The user scans the QR code with the smartphone camera or touches the product. The smartphone app detects this action and collects touch position information or scanned QR code information.

[1044] Step 2:

[1045] The smartphone sends the collected information to the server in JSON format.

[1046] Input: Collected touch location information or QR code information

[1047] Output: JSON data sent to the server

[1048] Specific operation: The smartphone app converts the collected touch position information or QR code information into JSON format and sends it to the server via the network.

[1049] Step 3:

[1050] The server analyzes the received request and searches the database (MongoDB) for the corresponding product information.

[1051] Input: JSON data sent to the server

[1052] Output: Product information retrieved from the database

[1053] Specific operation: The server parses the JSON data to extract the product ID and touch position information. Based on that information, it searches for and retrieves the corresponding product data (text, images, videos) from MongoDB.

[1054] Step 4:

[1055] Using generative AI models (OpenAI GPT-4, DALL-E), product details and animations are generated in real time.

[1056] Input: Product information retrieved from the database

[1057] Output: Generated detailed information and animation data

[1058] Specific operation: Based on the acquired product data, the server sends a prompt to OpenAI GPT-4 to generate detailed information. It also requests DALL-E to generate product images and usage animations to create visual content. For the product "Elephant Ear Cream," the following prompt is sent to the generative AI model: "Please write a detailed description of this product in Japanese. Also, please generate an animation showing how to use it."

[1059] Step 5:

[1060] The information generated on the server is sent as a response to the smartphone in JSON format.

[1061] Input: Generated detailed information and animation data

[1062] Output: JSON data sent to the smartphone

[1063] How it works: The server combines the generated details and animation data, encodes them into JSON format, and then sends the JSON data back to the smartphone via the network.

[1064] Step 6:

[1065] The smartphone analyzes the received information and displays animations and text related to the product to the user.

[1066] Input: JSON data sent from the server

[1067] Output: Detailed information and animation displayed on the smartphone screen

[1068] How it works: The smartphone parses the received JSON data, extracts product information and animations, and then displays detailed descriptions and animations on the screen to help users visually understand the information.

[1069] 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.

[1070] This invention is a digital teaching material system (e-Touch system) that detects the user's touch operation, generates related information using a generation AI, and presents it to the user, and further combines it with an emotion engine that recognizes the user's emotions. The program processing and specific examples of this system are explained below.

[1071] System Overview

[1072] This system operates when the user operates the device. When the user touches a creature or exhibit on the touch screen, the device detects the action. The device then sends information about the touch position and the object to the server. In addition, an emotion engine that recognizes the user's emotions analyzes the emotions from the user's face and voice and sends this information to the server.

[1073] Server-side processing

[1074] The server receives the request sent from the device and analyzes the request content and the analysis results from the emotion engine. For example, if the user touches the "elephant ear" and is analyzed as being in an excited emotional state, the server searches the database for detailed information about the "elephant ear" and selects a method of providing information appropriate to that emotional state (for example, a more visually stimulating animation).

[1075] The server then uses generative AI to generate the necessary animations and visual information in real time. Based on the user's request and emotional state, the generative AI creates animations that detail the movement and internal structure of specific objects. For example, an excited user might see an animation of an elephant's ears sensing the wind, creating a highly conductive effect.

[1076] The generated information is sent from the server to the device as a response, and the device receives the response and immediately displays it to the user, providing the user with an animated elephant ear and a detailed text description of its function, while optimizing the content according to the user's emotions.

[1077] Specific examples

[1078] Use in museums

[1079] When a user using a museum display terminal touches a dinosaur model and shows an interested expression, the terminal detects the operation and emotional state and transmits it to the server. The server then searches the database for detailed information about the dinosaur's head and uses generative AI to generate a detailed and vivid dinosaur head animation for the interested user. Through this process, users can learn how dinosaurs feed and the skeletal structure of their heads with real-time animation.

[1080] Use in school teaching materials

[1081] In a lesson on the ecology of frogs, if a student uses a digital textbook to touch a frog's legs and shows a happy expression, the device will detect the touch action and emotional state and send it to the server. The server will then retrieve information related to the frog's legs from a database and use generative AI to generate a fun animation showing the frog's leg movements that is appropriate for the student who is enjoying it. This allows students to understand the movement and muscle structure of a frog's legs visually and in a fun way.

[1082] In this way, the e-Touch system of the present invention provides real-time information generated based on the user's touch operations, and further customizes the information provided by recognizing the user's emotions, thereby providing an intuitive and effective learning experience.The specific components and processes of the present invention make it possible to effectively and efficiently provide a wide range of knowledge to users.

[1083] The processing flow will be explained below.

[1084] Step 1:

[1085] Users touch animals and exhibits using the device's touchscreen, and their facial expressions and voices are simultaneously captured.

[1086] Step 2:

[1087] The device detects touch operations and acquires information about the touch position and the object (e.g., an elephant's ear).The emotion engine then analyzes the user's facial expressions and voice to identify their emotional state.

[1088] Step 3:

[1089] The device compiles the touch position, object information, and the analyzed user's emotional state into a JSON-formatted request packet, for example, {"object": "elephant", "part": "ear", "emotion": "excited", "coordinates": {"x": 150, "y": 200}}.

[1090] Step 4:

[1091] The terminal sends the generated request packet to the server. The packet is sent using a communication means.

[1092] Step 5:

[1093] The server receives the request sent from the device and analyzes its contents. From the contents of the request packet, it recognizes the touched object (e.g., elephant's ear) and the user's emotional state (e.g., excited).

[1094] Step 6:

[1095] Based on the request and the user's emotional state, the server searches for information about the relevant object from a database containing detailed information about living creatures and exhibits.

[1096] Step 7:

[1097] Based on the information retrieved from the database, the server uses generative AI to generate the necessary animations and visual information in real time. Based on the user's request and emotional state, the generative AI creates animations that show the object's movement and internal structure in detail. For example, for an excited user, it generates an animation that clearly shows the movement and function of an elephant's ears.

[1098] Step 8:

[1099] The server then packages the generated animation and related information into a response packet, which contains the generated animation file and explanatory text.

[1100] Step 9:

[1101] The server sends a response packet to the terminal, which then arrives at the terminal via the communication means.

[1102] Step 10:

[1103] The device receives the response sent from the server, analyzes its contents, and displays the information based on the analyzed information.

[1104] Step 11:

[1105] The device then presents the generated animation and related information to the user. The animation is played on the screen, and text information is displayed simultaneously. The method of presenting information is also adjusted according to the user's emotions.

[1106] Step 12:

[1107] If the user views additional information or touches another area, the process starts again from step 1.

[1108] Example 2

[1109] 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."

[1110] Conventional digital learning systems provide information based on user touch operations, but do not optimize information according to the user's emotional state. This limits the learning effect and makes it difficult to provide an intuitive and effective learning experience tailored to each individual user.

[1111] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for detecting a user's touch operation, means for generating related information by a generation AI based on the touch operation, means for presenting the generated information to the user, means for recognizing the emotional state of the user by analyzing the user's facial expression and voice, and means for selecting an optimal information format based on the emotional state. This makes it possible to provide information that is optimized in real time based on the user's touch operation and emotional state.

[1112] A "user touch action" is a tactile input that a user makes to an object using a touchscreen or other interface.

[1113] "Generative AI" is an artificial intelligence model that automatically generates relevant information and content based on user input and requests.

[1114] "Related information" refers to data or content provided in response to a user's touch operation or request, and includes formats such as text, images, videos, and animations.

[1115] The "emotional state" is an emotional state determined by analyzing the user's facial expression and voice, and includes, for example, excitement, joy, interest, and the like.

[1116] The "database" is a computerized facility for storing and managing various information about living creatures and exhibits, and holds information in the form of text, images, and videos.

[1117] "Real-time processing" refers to a processing procedure for instantly generating and providing information in response to a user's operations and emotional state.

[1118] "Communication means" refers to the network infrastructure for transmitting and receiving information between the server and the terminal, and includes wired or wireless communication methods.

[1119] An "animation" is a continuous sequence of automatically generated images that visually represents the movement or behavior of an object.

[1120] "Terminal" refers to an electronic device that a user operates and that displays information, including devices with touch screens.

[1121] A "server" is a computing device that receives requests from users, processes the information using a database or generative AI, and provides the information to a terminal.

[1122] MODE FOR CARRYING OUT THE INVENTION

[1123] This invention relates to a digital learning system that generates and provides appropriate information in real time based on a user's touch operations and emotional state. The specific operation of the program of this system and the hardware and software required to realize it are described below.

[1124] System configuration

[1125] The system consists of the following main components:

[1126] 1. Terminal (touch detection device):

[1127] Electronic devices with touchscreens.

[1128] Detects user touch operations and obtains location information and object information.

[1129] It has a built-in emotion engine that analyzes the user's facial expressions and voice to recognize their emotional state.

[1130] 2. Server:

[1131] Receives and analyzes touch operation and emotional state data.

[1132] Search for detailed information about an object from a database.

[1133] Utilizing generative AI models, it generates real-time animations and visual information tailored to the user.

[1134] The generated information is sent to the terminal.

[1135] 3. Database:

[1136] Stores information about animals and exhibits in the form of text, images, and videos.

[1137] It is used to search for information according to user operations.

[1138] 4. Means of communication:

[1139] Network infrastructure for sending and receiving information between servers and terminals.

[1140] Supports wired and wireless communication methods.

[1141] Program processing

[1142] How it works

[1143] 1. Detecting user touch actions:

[1144] The user operates the touch screen of the device and touches a specific object (e.g., a living creature or exhibit).

[1145] The device obtains the touch position, the ID of the touched object, the touch time, etc.

[1146] 2. Emotion Recognition:

[1147] The emotion engine captures the user's face and voice using a camera and microphone and analyzes them in real time.

[1148] Based on the analysis results, the device recognizes the user's emotional state (e.g., excited, having fun).

[1149] 3. Sending data to the server:

[1150] The terminal transmits the acquired touch data and emotion data to the server.

[1151] 4. Server data analysis and generation AI:

[1152] The server analyzes the received data and determines the corresponding content.

[1153] Search for detailed information about an object from a database.

[1154] It uses generative AI models to generate animations and visual information based on the user's requests and emotional state.

[1155] Specific examples

[1156] Examples of use in museums

[1157] When a user touches the head of the dinosaur model, the device records the touch position and time and sends it to the server.

[1158] The emotion engine determines that the user is "excited" based on their facial expression.

[1159] The server retrieves detailed information about the dinosaur's head from a database and uses generative AI to generate real-time dinosaur head animations.

[1160] The terminal displays the generated animation to the user, enhancing the user's learning experience.

[1161] Examples of use in school teaching materials

[1162] Students touch the frog's legs in a digital textbook and show happy expressions.

[1163] The device detects the user's actions and emotional state and transmits the data to the server.

[1164] The server retrieves data related to the frog's legs and uses generative AI to generate fun animations.

[1165] The device displays this animation to students, helping them to understand the movement of a frog's legs and muscle structure in a visually engaging way.

[1166] Examples of prompt statements

[1167] Examples of prompts for generative AI models include:

[1168] "The user touches the elephant's ear and gets excited. Please explain the movement of the elephant's ear in detail and generate an interesting animation."

[1169] As a result, the system of the present invention can generate and provide optimal information in real time based on the user's touch operations and emotional state, providing an intuitive and effective learning experience.

[1170] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1171] Step 1:

[1172] The user performs a touch operation

[1173] Input: The user touches a specific object (e.g., a creature or exhibit) on the device's touchscreen.

[1174] Specific action: A user touches the head of a dinosaur model in a museum.

[1175] Output: The device receives data such as the touch position, the ID of the touched object, and the touch time.

[1176] Step 2:

[1177] Emotion recognition

[1178] Input: The emotion engine captures the user's face and voice using a camera and microphone and analyzes emotions in real time.

[1179] What it does: The emotion engine reads the user's facial expressions and analyzes the tone of their voice.

[1180] Output: Generates user emotion data (e.g., excitement, joy, interest, etc.).

[1181] Step 3:

[1182] Sending data to the server

[1183] Input: Touch data and emotion data acquired by the device.

[1184] Specific operation: The device sends a data set such as "The user is touching the dinosaur's head and is excited" to the server.

[1185] Output: The server receives the touch data and emotion data.

[1186] Step 4:

[1187] Server data analysis

[1188] Input: Touch and emotion data.

[1189] What happens: The server searches the database for detailed information about the touched object.

[1190] Output: Detailed information about the object is obtained (e.g., information about the dinosaur's head).

[1191] Step 5:

[1192] Utilizing generative AI

[1193] Input: User request and emotional state, detailed information about the object.

[1194] Specific behavior: The generative AI model generates animations and visual information that are optimal for the user based on the prompt. For example, the prompt to the generative AI model is, "The user is touching the elephant's ear and is excited. Please provide a detailed explanation of the elephant's ear movement and generate an interesting animation."

[1195] Output: Animations and visuals generated in real time.

[1196] Step 6:

[1197] Serving generated content

[1198] Input: Animations and visual information generated by a generative AI model.

[1199] Specific operation: The server sends the generated information to the terminal.

[1200] Output: The device immediately displays the information it receives to the user. For example, the device displays an animated dinosaur head on the screen.

[1201] These steps enable a learning experience that is optimized in real time based on the user's touch and emotional state.

[1202] (Application example 2)

[1203] 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."

[1204] Conventional automotive infotainment systems only provide information based on user touch operations and do not take into account the user's emotional state, making it impossible to provide optimal information to the user. Furthermore, even when the user is feeling nervous or anxious, only uniform information is presented, which hinders efforts to improve the user experience.

[1205] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1206] In this invention, the server includes means for detecting a user's touch operation, means for generating related information by a generation AI based on the touch operation, means for presenting the generated information to the user, emotion analysis means for recognizing the user's emotion, means for adjusting the information presentation method based on the emotion analysis result, and communication means for transmitting the user's touch operation and emotional state to the server, thereby enabling information provision that takes into account the user's touch operation and emotional state.

[1207] A "user's touch operation" is an act of a user making an input by physically touching a touch display or touch panel.

[1208] "Generative AI" is an artificial intelligence technology that automatically generates corresponding information based on user input.

[1209] "Related information" is data such as text, images, and videos that are provided in response to the user's touch operations and interests.

[1210] "Emotion analysis means" is a technology that analyzes input data such as the user's face and voice to identify the user's emotional state.

[1211] The "means for adjusting the method of presenting information" is a technology for changing the format and content of the information to be presented depending on the analyzed emotional state of the user.

[1212] "Communication means" refers to the technology used to send and receive data between a server and a terminal.

[1213] The "particular object" refers to an object or part that the user is interested in when performing a touch operation.

[1214] "Animation" is visual content that expresses movement using a series of images or videos.

[1215] "Real-time processing means" refers to technology that responds immediately to user input and instantly generates and presents results.

[1216] This invention is an infotainment system for autonomous vehicles that generates and provides relevant information based on a user's touch operations and emotional state. The configuration and operation of this system are described in detail below.

[1217] System configuration

[1218] The system of the present invention uses the following hardware and software:

[1219] Hardware:

[1220] Camera: Used to capture the user's face and voice.

[1221] Touch display / panel: Used to detect user touch actions.

[1222] software:

[1223] Emotion Engine: Used to analyze the user's facial and voice data to identify their emotional state.

[1224] AI Generator: Used to generate relevant information based on user touch actions.

[1225] Car Display: A display system inside a vehicle used to present information to the user.

[1226] How it works

[1227] 1. Face and voice capture

[1228] The server uses a camera installed inside the car to capture the user's face and voice data, which provides input data for the Emotion Engine to analyze the user's emotional state.

[1229] 2. Emotion analysis

[1230] The Emotion Engine analyzes the captured facial and voice data to identify the user's emotional state, for example, whether the user is nervous or excited.

[1231] 3. Touch detection

[1232] Detects user touch operations on the device's touch display / panel, identifies the touched location and object, and sends that information to the server.

[1233] 4. Information Generation

[1234] The AI ​​Generator generates relevant information based on touch operation information received from the server, and the generated information is provided in a form appropriate for the user's emotional state.

[1235] 5. Presentation of Information

[1236] The Car Display displays the generated information on a touch screen, and the display method is adjusted according to the user's emotional state, for example, providing visually dynamic animations to an excited user.

[1237] Specific examples

[1238] Here is a specific scenario:

[1239] When a user touches the destination input screen in an autonomous vehicle's infotainment system and appears nervous, the system operates as follows: The Emotion Engine analyzes facial data captured by the camera and identifies the nervous state. The AI ​​Generator then generates a guide for the nervous user on how to input their destination in a relaxed voice and displays it on the display.

[1240] Prompt Sentence Examples

[1241] If the user touches the destination input screen and feels "tense," generate a guide to help them relax.

[1242] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1243] Step 1:

[1244] A user operates a touch display within the infotainment system of an autonomous vehicle.

[1245] Input: User touch actions

[1246] Output: Touched position and object information

[1247] Specific action: The user taps on the destination input screen on the touch display.

[1248] Step 2:

[1249] The terminal detects the user's touch operation and obtains information about the position and object.

[1250] Input: Touched position and object information

[1251] Output: Touch operation information

[1252] What happens: The device's sensors identify the touch location and determine which user interface element was manipulated.

[1253] Step 3:

[1254] The device's camera captures the user's face and voice and sends the data to the Emotion Engine.

[1255] Input: User's face and voice data

[1256] Output: Input data required for sentiment analysis

[1257] Specific operation: The device's camera and microphone record the user's facial expressions and voice in real time.

[1258] Step 4:

[1259] The Emotion Engine analyzes the facial and voice data it receives to determine the user's emotional state.

[1260] Input: User's face and voice data

[1261] Output: Emotional state information

[1262] Specific operation: Based on the sensed data, an algorithm is executed to recognize emotions such as smiling, anger, and tension.

[1263] Step 5:

[1264] The terminal transmits the user's touch operation information and emotional state information to the server.

[1265] Input: User touch operation information and emotional state information

[1266] Output: Request data to the server

[1267] Specific operation: Data is transmitted from the terminal to the server via the network.

[1268] Step 6:

[1269] The server acquires data about the object from a database based on the touch operation information.

[1270] Input: Touch operation information

[1271] Output: Detailed information about the object

[1272] Specific operation: The server searches the database for relevant destination data based on the information touched on the destination input screen.

[1273] Step 7:

[1274] The server uses a generative AI to generate relevant information based on the acquired data and the user's emotional state.

[1275] Input: Detailed information about the object and its emotional state

[1276] Output: Emotion-related information (e.g., relaxation guidance)

[1277] Specific behavior: The generative AI model generates information that matches the emotional state (e.g., text and audio guidance on how to set a destination in a gentle voice).

[1278] Step 8:

[1279] The server transmits the generated information to the terminal.

[1280] Input: Emotion-related information

[1281] Output: Response data to the terminal

[1282] Specific operation: Data is sent from the server to the terminal in real time over the line.

[1283] Step 9:

[1284] The terminal presents the received information to the user.

[1285] Input: Response data from the server

[1286] Output: Information and guidance displayed to the user

[1287] Specific operation: Text and animations are displayed on the device's touch display, and generated audio guidance is played from the speaker.

[1288] 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.

[1289] 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.

[1290] 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.

[1291] [Fourth embodiment]

[1292] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1293] 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.

[1294] 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).

[1295] 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.

[1296] 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.

[1297] 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).

[1298] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1299] 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.

[1300] 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.

[1301] 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.

[1302] 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.

[1303] 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.

[1304] 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."

[1305] To implement this invention, it is necessary to build a digital teaching material system (e-Touch system). This system detects the user's touch operations and generates and provides related information in real time in response to those operations. The program processing and specific examples of this system are explained below.

[1306] First, the system starts up when the user operates the device. When the user touches a creature or exhibit on the screen, the touch operation is detected by the device. The device collects information about the touch position and the touch target and sends it to the server.

[1307] The server receives requests sent from the device and analyzes their contents. For example, if a user touches an "elephant's ear," that information is sent to the server, which searches a database for detailed information about the "elephant's ear." The server then uses a generative AI to generate the necessary animations and visual information in real time. Based on the user's request, the generative AI creates an animation that shows the movement and internal structure of a specific object in detail.

[1308] The generated information is sent from the server to the device as a response. The device receives this response and immediately displays it to the user. For example, the user is presented with an animated elephant ear and a detailed text description of its function. If the user touches another part, the same process is repeated and related information is immediately displayed.

[1309] Specific examples

[1310] Use in museums

[1311] When a user touches a dinosaur model on a museum display terminal, the terminal detects the action and sends the touch position information to a server. The server then searches a database for information about the dinosaur's head and uses generative AI to generate an animation of the dinosaur's head. This allows users to learn about how dinosaurs feed and the skeletal structure of their heads through animation.

[1312] Use in school teaching materials

[1313] When a teacher teaches a class about the ecology of frogs, they have students touch a frog's leg while using a digital textbook. The device detects the touch and sends a request to the server. The server retrieves information related to the frog's leg from a database and uses generative AI to generate an animation showing the movement and muscle structure of the frog's leg. This allows students to visually understand how the frog's leg moves.

[1314] In this way, the e-Touch system of the present invention can provide an intuitive and effective learning experience by providing real-time information generated based on the user's touch operations.The specific components and processes of the present invention make it possible to effectively and efficiently provide a wide range of knowledge to users.

[1315] The processing flow will be explained below.

[1316] Step 1:

[1317] The user touches the creatures or exhibits on the device's touch screen, and the target area is identified by the touch operation.

[1318] Step 2:

[1319] The device detects the user's touch operation and acquires information about the touch position and the object (e.g., an elephant's ear), which allows it to identify which part was touched.

[1320] Step 3:

[1321] Based on the information acquired by the device, the touch position and target information are compiled into a JSON-formatted request packet, which includes specific coordinates and target area information.

[1322] Step 4:

[1323] The terminal sends the generated request packet to the server. The packet is sent using the communication means and arrives at the server.

[1324] Step 5:

[1325] The server receives the request sent from the device and analyzes its contents. It identifies the touched object (e.g., an elephant's ear) from the contents of the request packet.

[1326] Step 6:

[1327] Based on the request, the server searches for information about the relevant object in a database that contains detailed information about living creatures and exhibits.

[1328] Step 7:

[1329] The server uses a generative AI based on information retrieved from the database to generate the necessary animations and visual information in real time. The generative AI then creates the specific animations.

[1330] Step 8:

[1331] The server then assembles the generated animation and related information into a response packet, which contains the generated animation file and explanatory text.

[1332] Step 9:

[1333] The server sends a response packet to the terminal, which then arrives at the terminal via the communication means.

[1334] Step 10:

[1335] The device receives the response sent from the server, analyzes its contents, and displays the information based on the analyzed information.

[1336] Step 11:

[1337] The device presents the generated animation and related information to the user. The animation is played on the screen, and text information is displayed simultaneously.

[1338] Step 12:

[1339] If the user views additional information or touches another area, the process starts again from step 1.

[1340] Example 1

[1341] 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."

[1342] Digital learning systems are required to provide relevant information instantly in response to user operations. However, conventional systems often fail to provide information based on touch operations in a sufficiently real-time manner, making it difficult for users to gain an intuitive learning experience. Furthermore, there is a lack of technology for generating detailed animations and visual information about the object, which limits the learning effect.

[1343] 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.

[1344] In this invention, the server includes means for detecting a user's touch operation, means for collecting and transmitting information about the touch position and the touch target to the server, means for the server to analyze the request sent from the terminal, means for searching detailed information from a database, means for generating visual information and animation in real time using a generative AI model, and means for presenting the generated information to the user. This makes it possible to instantly provide real-time visual information such as detailed animation and text information based on the user's touch operation.

[1345] "User" refers to a person who operates the system.

[1346] "Touch operation" refers to a physical input action performed by a user via the touch panel of a terminal.

[1347] A "terminal" refers to a computer system, such as a mobile device or a fixed device, operated by a user.

[1348] A "server" refers to a centralized computer system that receives and analyzes requests sent from terminals.

[1349] A "request" refers to request data sent from a terminal to a server.

[1350] A "generative AI model" refers to a type of artificial intelligence that generates visual information and animations based on user requests.

[1351] A "database" refers to a collection of information that stores information about living creatures and exhibits in the form of text, images, videos, etc.

[1352] "Visual information" refers to data such as images and animations that are visually presented to the user.

[1353] "Real-time" refers to data processing and information presentation occurring instantly with little delay.

[1354] "Animation" refers to a visual representation that dynamically shows the movement or internal structure of an object.

[1355] The "touch position" refers to the specific location on the device screen where the user touches the screen with their finger or pen.

[1356] A "touch target" refers to a specific object or area that a user selects or operates on the device screen.

[1357] "Analysis" refers to the process of interpreting the content of a received request and determining the corresponding action.

[1358] "Detailed information" refers to information that contains more in-depth knowledge or explanation about a particular object or part.

[1359] "Communication means" refers to the technology and protocols used to send and receive information between a server and a terminal.

[1360] "Real-time processing means" refers to technology that processes data instantly in response to user operations.

[1361] To implement this invention, it is necessary to build a digital teaching material system (hereinafter referred to as the e-Touch system). The e-Touch system detects the user's touch operations and generates and provides related information in real time based on those touch operations. Specifically, the invention is implemented by the following procedure.

[1362] When a user touches a device, that touch triggers the system to start operating. The device uses touch panel technology to detect the user's touch and its location. For example, if a user touches an "elephant's ear" on the screen, data about the location and the touch target (elephant's ear) is collected.

[1363] The device then sends the collected information to the server, which then packages it into a data packet and sends it to the server via a communication medium. The server receives the data packet and analyzes the request, searching a database for relevant details based on the received information.

[1364] The server pulls detailed information about "Elephant Ear" from a database containing text, images, and videos about animals and exhibits, and then uses a generative AI model (e.g., OpenAI's GPT-4) on the server to transform the information into animations and visualizations in real time.

[1365] The generative AI model generates specific visual information and animations based on user requests. An appropriate prompt is input to the model. For example, the prompt might be, "Generate an animation of the internal structure and movement of an elephant's ear."

[1366] The generated visual information is sent from the server to the device as a response. The device receives this response and immediately displays it to the user. Specifically, an "elephant ear animation" and a "detailed text explanation of the function of the elephant ear" are displayed on the device screen. If the user touches another part of the device (for example, the elephant's foot), related information is immediately displayed through a similar process.

[1367] Specific examples

[1368] Use in museums

[1369] When a user touches a dinosaur model on a museum display terminal, the terminal detects the touch and sends the touch location information to a server. The server then searches a database for information about the dinosaur's head and uses generative AI to generate an animation of the dinosaur's head. This allows users to learn how dinosaurs feed and the skeletal structure of their heads through animation.

[1370] Use in school teaching materials

[1371] When a teacher teaches a class about the ecology of frogs, they have students touch a frog's leg while using a digital textbook. The device detects the touch and sends a request to the server. The server retrieves information related to the frog's leg from a database and uses generative AI to generate an animation showing the movement and muscle structure of the frog's leg. This allows students to visually understand how the frog's leg moves.

[1372] Prompt Sentence Examples

[1373] "When a user touches an exhibit on the screen, generate and present detailed information and animation about that exhibit. For example, if the user touches an 'elephant's ear,' create an animation about its function and internal structure."

[1374] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1375] Step 1:

[1376] The user touches the screen of the device.

[1377] Input: User touch operation (e.g., touching "elephant ears")

[1378] Output: Touch position information and touch target information

[1379] Specific operation: The user touches the "elephant's ear" part on the device screen with their finger. The device uses touch panel technology to detect the touch position (coordinates) and the touch target (elephant's ear).

[1380] Step 2:

[1381] The device collects touch information and sends it to the server.

[1382] Input: Touch position information and touch target information

[1383] Output: Data packet sent to the server

[1384] Specific operation: The terminal compiles the detected touch position and touch target information into a data packet and sends it to the server via a communication means.

[1385] Step 3:

[1386] The server receives and analyzes the request from the terminal.

[1387] Input: Data packets sent from the device

[1388] Output: Analysis results (information about the touch target)

[1389] What happens: The server analyzes the received data packet to identify detailed information about the "elephant ear." This analysis includes matching the touch location and touch target.

[1390] Step 4:

[1391] The server retrieves the relevant information from a database.

[1392] Input: Analysis results (information about the touch target)

[1393] Output: More information about "elephant ears"

[1394] Specific operation: The server searches the database based on the analysis results and retrieves text and image data related to "elephant ears."

[1395] Step 5:

[1396] The server uses generative AI models to generate visual information and animations.

[1397] Input: More information about "elephant ears", prompt

[1398] Output: Generated animation and visual information

[1399] Specific operation: The generative AI model (e.g., GPT-4) is given the prompt, "Generate an animation of the internal structure and movement of an elephant's ear," and animation data and a detailed text description are generated.

[1400] Step 6:

[1401] The server transmits the generated information to the terminal as a response.

[1402] Input: Generated animation and visual information

[1403] Output: Sending data packets to the device

[1404] Specific operation: A data packet containing the generated animation data and text description is compiled and sent to the terminal via a communication means.

[1405] Step 7:

[1406] The terminal receives the response from the server and displays it to the user.

[1407] Input: Data packet sent from the server

[1408] Output: Visual information and textual descriptions displayed to the user

[1409] What it does: It displays an animated elephant ear and a detailed text description of the elephant ear's function in real time on the device screen. If the user touches another part of the device (e.g., the elephant's foot), the same process is repeated.

[1410] (Application example 1)

[1411] 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."

[1412] In traditional brick-and-mortar stores, customers lacked the means to intuitively and quickly obtain detailed product information and usage instructions. Furthermore, sales staff were not always available, and customers had to spend time researching information on their own. This resulted in reduced speed and accuracy of purchasing decisions, making it difficult to improve customer satisfaction.

[1413] 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.

[1414] In this invention, the server includes a means for detecting a user's touch operation, a means for generating related information using a generation AI based on the touch operation, and a means for presenting the generated information to the user. This makes it possible to detect an operation by touching a product or scanning a QR code with a smartphone and display product information in real time.

[1415] A "user touch operation" is an operation performed by a user using a touchscreen device such as a smartphone or tablet by touching a specific position or object on the screen.

[1416] "Generative AI" is an artificial intelligence technology that automatically generates text, images, and videos based on input data.

[1417] "Related information" is data that includes detailed information, explanations, animations, and the like about a specific object, which is generated based on a user's operation.

[1418] "Operations by touching a product or scanning a QR code with a smartphone" refers to operations in which a customer uses a smartphone to touch and select a product or read a QR code in a physical store.

[1419] The "target object" is an object such as a specific product or exhibit that the user touches.

[1420] A "database" is an information management system for systematically storing information about products, exhibits, etc. in the form of text, images, and videos.

[1421] "Generating in real time" refers to the process of instantly generating and displaying necessary information and animations in response to user operations.

[1422] "Communication means" refers to the network infrastructure for sending and receiving information between a server and a device such as a smartphone.

[1423] "Product information" refers to information including a detailed description of the product, ingredients, instructions for use, related animations, etc.

[1424] This invention is a system that instantly provides detailed product information and animations of how to use a product when a customer touches the product or scans the QR code in a physical store. To achieve this, it applies the technology of the digital educational system (e-Touch system) to generate and display information in real time based on the user's touch operation.

[1425] Hardware and software used

[1426] Hardware:

[1427] Smartphone (general smartphone device), server (cloud server or local server)

[1428] software:

[1429] Client-side application: Mobile application using React Native

[1430] Server side: API server using Node.js and Express

[1431] Database: MongoDB

[1432] Generative AI models: OpenAI GPT-4, DALL-E

[1433] System operation procedure

[1434] 1. Detecting user touch actions

[1435] A user uses a smartphone in a physical store to touch a product or scan a QR code.

[1436] The smartphone app detects user operations and collects touch position information or QR code information.

[1437] 2. Sending a request to the server

[1438] The smartphone sends the collected information to the server in JSON format.

[1439] 3. Information analysis and generation on the server

[1440] The server analyzes the received request and searches the database (MongoDB) for the corresponding product information.

[1441] Using generative AI models (OpenAI GPT-4, DALL-E), product details and animations are generated in real time.

[1442] 4. Provision and display of information

[1443] The information generated on the server is sent as a response to the smartphone in JSON format.

[1444] The smartphone analyzes the received information and displays animations and text related to the product to the user.

[1445] Specific examples

[1446] For example, when a user picks up a skincare product in a physical store and scans the QR code with their smartphone, detailed information about the product (ingredients, usage, effects, etc.) is displayed in real time. Furthermore, a generative AI model is used to generate an animation explaining how to use the product, providing the user with a visually easy-to-understand presentation.

[1447] Example prompt sentence:

[1448] Product name: "Elephant Ear Cream"

[1449] Prompt: "Write a detailed description of this product in Japanese. Also, generate an animation on how to use it."

[1450] Data processing and calculation

[1451] Smartphone

[1452] Touch position and QR code information is collected and sent to the server in JSON format.

[1453] server

[1454] Analyze the received data.

[1455] Search for relevant product information from MongoDB.

[1456] Text generation is performed using OpenAI GPT-4 and animation generation is performed using DALL-E.

[1457] The generated information is returned to the client in JSON format.

[1458] Smartphone

[1459] Analyze the received JSON data and display the necessary animations and text.

[1460] Such systems allow customers to instantly obtain detailed product information and make quick purchasing decisions.

[1461] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1462] Step 1:

[1463] A user uses a smartphone in a physical store to touch a product or scan a QR code.

[1464] Input: Touch location information or QR code information

[1465] Output: Collected touch location information or QR code information

[1466] Specific operation: The user scans the QR code with the smartphone camera or touches the product. The smartphone app detects this action and collects touch position information or scanned QR code information.

[1467] Step 2:

[1468] The smartphone sends the collected information to the server in JSON format.

[1469] Input: Collected touch location information or QR code information

[1470] Output: JSON data sent to the server

[1471] Specific operation: The smartphone app converts the collected touch position information or QR code information into JSON format and sends it to the server via the network.

[1472] Step 3:

[1473] The server analyzes the received request and searches the database (MongoDB) for the corresponding product information.

[1474] Input: JSON data sent to the server

[1475] Output: Product information retrieved from the database

[1476] Specific operation: The server parses the JSON data to extract the product ID and touch position information. Based on that information, it searches for and retrieves the corresponding product data (text, images, videos) from MongoDB.

[1477] Step 4:

[1478] Using generative AI models (OpenAI GPT-4, DALL-E), product details and animations are generated in real time.

[1479] Input: Product information retrieved from the database

[1480] Output: Generated detailed information and animation data

[1481] Specific operation: Based on the acquired product data, the server sends a prompt to OpenAI GPT-4 to generate detailed information. It also requests DALL-E to generate product images and usage animations to create visual content. For the product "Elephant Ear Cream," the following prompt is sent to the generative AI model: "Please write a detailed description of this product in Japanese. Also, please generate an animation showing how to use it."

[1482] Step 5:

[1483] The information generated on the server is sent as a response to the smartphone in JSON format.

[1484] Input: Generated detailed information and animation data

[1485] Output: JSON data sent to the smartphone

[1486] How it works: The server combines the generated details and animation data, encodes them into JSON format, and then sends the JSON data back to the smartphone via the network.

[1487] Step 6:

[1488] The smartphone analyzes the received information and displays animations and text related to the product to the user.

[1489] Input: JSON data sent from the server

[1490] Output: Detailed information and animation displayed on the smartphone screen

[1491] How it works: The smartphone parses the received JSON data, extracts product information and animations, and then displays detailed descriptions and animations on the screen to help users visually understand the information.

[1492] 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.

[1493] This invention is a digital teaching material system (e-Touch system) that detects the user's touch operation, generates related information using a generation AI, and presents it to the user, and further combines it with an emotion engine that recognizes the user's emotions. The program processing and specific examples of this system are explained below.

[1494] System Overview

[1495] This system operates when the user operates the device. When the user touches a creature or exhibit on the touch screen, the device detects the action. The device then sends information about the touch position and the object to the server. In addition, an emotion engine that recognizes the user's emotions analyzes the emotions from the user's face and voice and sends this information to the server.

[1496] Server-side processing

[1497] The server receives the request sent from the device and analyzes the request content and the analysis results from the emotion engine. For example, if the user touches the "elephant ear" and is analyzed as being in an excited emotional state, the server searches the database for detailed information about the "elephant ear" and selects a method of providing information appropriate to that emotional state (for example, a more visually stimulating animation).

[1498] The server then uses generative AI to generate the necessary animations and visual information in real time. Based on the user's request and emotional state, the generative AI creates animations that detail the movement and internal structure of specific objects. For example, an excited user might see an animation of an elephant's ears sensing the wind, creating a highly conductive effect.

[1499] The generated information is sent from the server to the device as a response, and the device receives the response and immediately displays it to the user, providing the user with an animated elephant ear and a detailed text description of its function, while optimizing the content according to the user's emotions.

[1500] Specific examples

[1501] Use in museums

[1502] When a user using a museum display terminal touches a dinosaur model and shows an interested expression, the terminal detects the operation and emotional state and transmits it to the server. The server then searches the database for detailed information about the dinosaur's head and uses generative AI to generate a detailed and vivid dinosaur head animation for the interested user. Through this process, users can learn how dinosaurs feed and the skeletal structure of their heads with real-time animation.

[1503] Use in school teaching materials

[1504] In a lesson on the ecology of frogs, if a student uses a digital textbook to touch a frog's legs and shows a happy expression, the device will detect the touch action and emotional state and send it to the server. The server will then retrieve information related to the frog's legs from a database and use generative AI to generate a fun animation showing the frog's leg movements that is appropriate for the student who is enjoying it. This allows students to understand the movement and muscle structure of a frog's legs visually and in a fun way.

[1505] In this way, the e-Touch system of the present invention provides real-time information generated based on the user's touch operations, and further customizes the information provided by recognizing the user's emotions, thereby providing an intuitive and effective learning experience.The specific components and processes of the present invention make it possible to effectively and efficiently provide a wide range of knowledge to users.

[1506] The processing flow will be explained below.

[1507] Step 1:

[1508] Users touch animals and exhibits using the device's touchscreen, and their facial expressions and voices are simultaneously captured.

[1509] Step 2:

[1510] The device detects touch operations and acquires information about the touch position and the object (e.g., an elephant's ear).The emotion engine then analyzes the user's facial expressions and voice to identify their emotional state.

[1511] Step 3:

[1512] The device compiles the touch position, object information, and the analyzed user's emotional state into a JSON-formatted request packet, for example, {"object": "elephant", "part": "ear", "emotion": "excited", "coordinates": {"x": 150, "y": 200}}.

[1513] Step 4:

[1514] The terminal sends the generated request packet to the server. The packet is sent using a communication means.

[1515] Step 5:

[1516] The server receives the request sent from the device and analyzes its contents. From the contents of the request packet, it recognizes the touched object (e.g., elephant's ear) and the user's emotional state (e.g., excited).

[1517] Step 6:

[1518] Based on the request and the user's emotional state, the server searches for information about the relevant object from a database containing detailed information about living creatures and exhibits.

[1519] Step 7:

[1520] Based on the information retrieved from the database, the server uses generative AI to generate the necessary animations and visual information in real time. Based on the user's request and emotional state, the generative AI creates animations that show the object's movement and internal structure in detail. For example, for an excited user, it generates an animation that clearly shows the movement and function of an elephant's ears.

[1521] Step 8:

[1522] The server then packages the generated animation and related information into a response packet, which contains the generated animation file and explanatory text.

[1523] Step 9:

[1524] The server sends a response packet to the terminal, which then arrives at the terminal via the communication means.

[1525] Step 10:

[1526] The device receives the response sent from the server, analyzes its contents, and displays the information based on the analyzed information.

[1527] Step 11:

[1528] The device then presents the generated animation and related information to the user. The animation is played on the screen, and text information is displayed simultaneously. The method of presenting information is also adjusted according to the user's emotions.

[1529] Step 12:

[1530] If the user views additional information or touches another area, the process starts again from step 1.

[1531] Example 2

[1532] 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."

[1533] Conventional digital learning systems provide information based on user touch operations, but do not optimize information according to the user's emotional state. This limits the learning effect and makes it difficult to provide an intuitive and effective learning experience tailored to each individual user.

[1534] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for detecting a user's touch operation, means for generating related information by a generation AI based on the touch operation, means for presenting the generated information to the user, means for recognizing the emotional state of the user by analyzing the user's facial expression and voice, and means for selecting an optimal information format based on the emotional state. This makes it possible to provide information that is optimized in real time based on the user's touch operation and emotional state.

[1535] A "user touch action" is a tactile input that a user makes to an object using a touchscreen or other interface.

[1536] "Generative AI" is an artificial intelligence model that automatically generates relevant information and content based on user input and requests.

[1537] "Related information" refers to data or content provided in response to a user's touch operation or request, and includes formats such as text, images, videos, and animations.

[1538] The "emotional state" is an emotional state determined by analyzing the user's facial expression and voice, and includes, for example, excitement, joy, interest, and the like.

[1539] The "database" is a computerized facility for storing and managing various information about living creatures and exhibits, and holds information in the form of text, images, and videos.

[1540] "Real-time processing" refers to a processing procedure for instantly generating and providing information in response to a user's operations and emotional state.

[1541] "Communication means" refers to the network infrastructure for transmitting and receiving information between the server and the terminal, and includes wired or wireless communication methods.

[1542] An "animation" is a continuous sequence of automatically generated images that visually represents the movement or behavior of an object.

[1543] "Terminal" refers to an electronic device that a user operates and that displays information, including devices with touch screens.

[1544] A "server" is a computing device that receives requests from users, processes the information using a database or generative AI, and provides the information to a terminal.

[1545] MODE FOR CARRYING OUT THE INVENTION

[1546] This invention relates to a digital learning system that generates and provides appropriate information in real time based on a user's touch operations and emotional state. The specific operation of the program of this system and the hardware and software required to realize it are described below.

[1547] System configuration

[1548] The system consists of the following main components:

[1549] 1. Terminal (touch detection device):

[1550] Electronic devices with touchscreens.

[1551] Detects user touch operations and obtains location information and object information.

[1552] It has a built-in emotion engine that analyzes the user's facial expressions and voice to recognize their emotional state.

[1553] 2. Server:

[1554] Receives and analyzes touch operation and emotional state data.

[1555] Search for detailed information about an object from a database.

[1556] Utilizing generative AI models, it generates real-time animations and visual information tailored to the user.

[1557] The generated information is sent to the terminal.

[1558] 3. Database:

[1559] Stores information about animals and exhibits in the form of text, images, and videos.

[1560] It is used to search for information according to user operations.

[1561] 4. Means of communication:

[1562] Network infrastructure for sending and receiving information between servers and terminals.

[1563] Supports wired and wireless communication methods.

[1564] Program processing

[1565] How it works

[1566] 1. Detecting user touch actions:

[1567] The user operates the touch screen of the device and touches a specific object (e.g., a living creature or exhibit).

[1568] The device obtains the touch position, the ID of the touched object, the touch time, etc.

[1569] 2. Emotion Recognition:

[1570] The emotion engine captures the user's face and voice using a camera and microphone and analyzes them in real time.

[1571] Based on the analysis results, the device recognizes the user's emotional state (e.g., excited, having fun).

[1572] 3. Sending data to the server:

[1573] The terminal transmits the acquired touch data and emotion data to the server.

[1574] 4. Server data analysis and generation AI:

[1575] The server analyzes the received data and determines the corresponding content.

[1576] Search for detailed information about an object from a database.

[1577] It uses generative AI models to generate animations and visual information based on the user's requests and emotional state.

[1578] Specific examples

[1579] Examples of use in museums

[1580] When a user touches the head of the dinosaur model, the device records the touch position and time and sends it to the server.

[1581] The emotion engine determines that the user is "excited" based on their facial expression.

[1582] The server retrieves detailed information about the dinosaur's head from a database and uses generative AI to generate real-time dinosaur head animations.

[1583] The terminal displays the generated animation to the user, enhancing the user's learning experience.

[1584] Examples of use in school teaching materials

[1585] Students touch the frog's legs in a digital textbook and show happy expressions.

[1586] The device detects the user's actions and emotional state and transmits the data to the server.

[1587] The server retrieves data related to the frog's legs and uses generative AI to generate fun animations.

[1588] The device displays this animation to students, helping them to understand the movement of a frog's legs and muscle structure in a visually engaging way.

[1589] Examples of prompt statements

[1590] Examples of prompts for generative AI models include:

[1591] "The user touches the elephant's ear and gets excited. Please explain the movement of the elephant's ear in detail and generate an interesting animation."

[1592] As a result, the system of the present invention can generate and provide optimal information in real time based on the user's touch operations and emotional state, providing an intuitive and effective learning experience.

[1593] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1594] Step 1:

[1595] The user performs a touch operation

[1596] Input: The user touches a specific object (e.g., a creature or exhibit) on the device's touchscreen.

[1597] Specific action: A user touches the head of a dinosaur model in a museum.

[1598] Output: The device receives data such as the touch position, the ID of the touched object, and the touch time.

[1599] Step 2:

[1600] Emotion recognition

[1601] Input: The emotion engine captures the user's face and voice using a camera and microphone and analyzes emotions in real time.

[1602] What it does: The emotion engine reads the user's facial expressions and analyzes the tone of their voice.

[1603] Output: Generates user emotion data (e.g., excitement, joy, interest, etc.).

[1604] Step 3:

[1605] Sending data to the server

[1606] Input: Touch data and emotion data acquired by the device.

[1607] Specific operation: The device sends a data set such as "The user is touching the dinosaur's head and is excited" to the server.

[1608] Output: The server receives the touch data and emotion data.

[1609] Step 4:

[1610] Server data analysis

[1611] Input: Touch and emotion data.

[1612] What happens: The server searches the database for detailed information about the touched object.

[1613] Output: Detailed information about the object is obtained (e.g., information about the dinosaur's head).

[1614] Step 5:

[1615] Utilizing generative AI

[1616] Input: User request and emotional state, detailed information about the object.

[1617] Specific behavior: The generative AI model generates animations and visual information that are optimal for the user based on the prompt. For example, the prompt to the generative AI model is, "The user is touching the elephant's ear and is excited. Please provide a detailed explanation of the elephant's ear movement and generate an interesting animation."

[1618] Output: Animations and visuals generated in real time.

[1619] Step 6:

[1620] Serving generated content

[1621] Input: Animations and visual information generated by a generative AI model.

[1622] Specific operation: The server sends the generated information to the terminal.

[1623] Output: The device immediately displays the information it receives to the user. For example, the device displays an animated dinosaur head on the screen.

[1624] These steps enable a learning experience that is optimized in real time based on the user's touch and emotional state.

[1625] (Application example 2)

[1626] 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."

[1627] Conventional automotive infotainment systems only provide information based on user touch operations and do not take into account the user's emotional state, making it impossible to provide optimal information to the user. Furthermore, even when the user is feeling nervous or anxious, only uniform information is presented, which hinders efforts to improve the user experience.

[1628] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1629] In this invention, the server includes means for detecting a user's touch operation, means for generating related information by a generation AI based on the touch operation, means for presenting the generated information to the user, emotion analysis means for recognizing the user's emotion, means for adjusting the information presentation method based on the emotion analysis result, and communication means for transmitting the user's touch operation and emotional state to the server, thereby enabling information provision that takes into account the user's touch operation and emotional state.

[1630] A "user's touch operation" is an act of a user making an input by physically touching a touch display or touch panel.

[1631] "Generative AI" is an artificial intelligence technology that automatically generates corresponding information based on user input.

[1632] "Related information" is data such as text, images, and videos that are provided in response to the user's touch operations and interests.

[1633] "Emotion analysis means" is a technology that analyzes input data such as the user's face and voice to identify the user's emotional state.

[1634] The "means for adjusting the method of presenting information" is a technology for changing the format and content of the information to be presented depending on the analyzed emotional state of the user.

[1635] "Communication means" refers to the technology used to send and receive data between a server and a terminal.

[1636] The "particular object" refers to an object or part that the user is interested in when performing a touch operation.

[1637] "Animation" is visual content that expresses movement using a series of images or videos.

[1638] "Real-time processing means" refers to technology that responds immediately to user input and instantly generates and presents results.

[1639] This invention is an infotainment system for autonomous vehicles that generates and provides relevant information based on a user's touch operations and emotional state. The configuration and operation of this system are described in detail below.

[1640] System configuration

[1641] The system of the present invention uses the following hardware and software:

[1642] Hardware:

[1643] Camera: Used to capture the user's face and voice.

[1644] Touch display / panel: Used to detect user touch actions.

[1645] software:

[1646] Emotion Engine: Used to analyze the user's facial and voice data to identify their emotional state.

[1647] AI Generator: Used to generate relevant information based on user touch actions.

[1648] Car Display: A display system inside a vehicle used to present information to the user.

[1649] How it works

[1650] 1. Face and voice capture

[1651] The server uses a camera installed inside the car to capture the user's face and voice data, which provides input data for the Emotion Engine to analyze the user's emotional state.

[1652] 2. Emotion analysis

[1653] The Emotion Engine analyzes the captured facial and voice data to identify the user's emotional state, for example, whether the user is nervous or excited.

[1654] 3. Touch detection

[1655] Detects user touch operations on the device's touch display / panel, identifies the touched location and object, and sends that information to the server.

[1656] 4. Information Generation

[1657] The AI ​​Generator generates relevant information based on touch operation information received from the server, and the generated information is provided in a form appropriate for the user's emotional state.

[1658] 5. Presentation of Information

[1659] The Car Display displays the generated information on a touch screen, and the display method is adjusted according to the user's emotional state, for example, providing visually dynamic animations to an excited user.

[1660] Specific examples

[1661] Here is a specific scenario:

[1662] When a user touches the destination input screen in an autonomous vehicle's infotainment system and appears nervous, the system operates as follows: The Emotion Engine analyzes facial data captured by the camera and identifies the nervous state. The AI ​​Generator then generates a guide for the nervous user on how to input their destination in a relaxed voice and displays it on the display.

[1663] Prompt Sentence Examples

[1664] If the user touches the destination input screen and feels "tense," generate a guide to help them relax.

[1665] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1666] Step 1:

[1667] A user operates a touch display within the infotainment system of an autonomous vehicle.

[1668] Input: User touch actions

[1669] Output: Touched position and object information

[1670] Specific action: The user taps on the destination input screen on the touch display.

[1671] Step 2:

[1672] The terminal detects the user's touch operation and obtains information about the position and object.

[1673] Input: Touched position and object information

[1674] Output: Touch operation information

[1675] What happens: The device's sensors identify the touch location and determine which user interface element was manipulated.

[1676] Step 3:

[1677] The device's camera captures the user's face and voice and sends the data to the Emotion Engine.

[1678] Input: User's face and voice data

[1679] Output: Input data required for sentiment analysis

[1680] Specific operation: The device's camera and microphone record the user's facial expressions and voice in real time.

[1681] Step 4:

[1682] The Emotion Engine analyzes the facial and voice data it receives to determine the user's emotional state.

[1683] Input: User's face and voice data

[1684] Output: Emotional state information

[1685] Specific operation: Based on the sensed data, an algorithm is executed to recognize emotions such as smiling, anger, and tension.

[1686] Step 5:

[1687] The terminal transmits the user's touch operation information and emotional state information to the server.

[1688] Input: User touch operation information and emotional state information

[1689] Output: Request data to the server

[1690] Specific operation: Data is transmitted from the terminal to the server via the network.

[1691] Step 6:

[1692] The server acquires data about the object from a database based on the touch operation information.

[1693] Input: Touch operation information

[1694] Output: Detailed information about the object

[1695] Specific operation: The server searches the database for relevant destination data based on the information touched on the destination input screen.

[1696] Step 7:

[1697] The server uses a generative AI to generate relevant information based on the acquired data and the user's emotional state.

[1698] Input: Detailed information about the object and its emotional state

[1699] Output: Emotion-related information (e.g., relaxation guidance)

[1700] Specific behavior: The generative AI model generates information that matches the emotional state (e.g., text and audio guidance on how to set a destination in a gentle voice).

[1701] Step 8:

[1702] The server transmits the generated information to the terminal.

[1703] Input: Emotion-related information

[1704] Output: Response data to the terminal

[1705] Specific operation: Data is sent from the server to the terminal in real time over the line.

[1706] Step 9:

[1707] The terminal presents the received information to the user.

[1708] Input: Response data from the server

[1709] Output: Information and guidance displayed to the user

[1710] Specific operation: Text and animations are displayed on the device's touch display, and generated audio guidance is played from the speaker.

[1711] 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.

[1712] 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.

[1713] 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.

[1714] 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.

[1715] 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.

[1716] 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.

[1717] 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).

[1718] 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.

[1719] 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."

[1720] 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.

[1721] 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).

[1722] 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.

[1723] 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.

[1724] 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.

[1725] 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.

[1726] 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.

[1727] 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.

[1728] 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.

[1729] 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.

[1730] 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.

[1731] 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.

[1732] The following is further disclosed regarding the above embodiment.

[1733] (Claim 1)

[1734] means for detecting a touch operation by a user;

[1735] A means for generating related information by a generation AI based on a touch operation;

[1736] means for presenting the generated information to a user;

[1737] A system including:

[1738] (Claim 2)

[1739] A means for distinguishing a particular object or part thereof based on the location of a user's touch operation;

[1740] a means for retrieving detailed information about the object from a database;

[1741] a means for generating animation of the object in real time;

[1742] The system of claim 1 further comprising:

[1743] (Claim 3)

[1744] a means for providing a database for storing information about living creatures and exhibits in the form of text, images, and videos;

[1745] a real-time processing means for instantly providing information in response to a user's operation;

[1746] A communication means for transmitting and receiving information between the server and the terminal;

[1747] The system of claim 1 further comprising:

[1748] "Example 1"

[1749] (Claim 1)

[1750] means for detecting a touch operation by a user;

[1751] means for collecting information about the touch position and the touch target and transmitting the information to a server;

[1752] A means for the server to analyze a request sent from the terminal;

[1753] a means of searching for detailed information from the database;

[1754] A means to generate visual information and animations in real time using generative AI models;

[1755] means for presenting the generated information to a user;

[1756] A system including:

[1757] (Claim 2)

[1758] A means for distinguishing a particular object or part thereof based on the location of a user's touch operation;

[1759] a means for retrieving detailed information about the object from a database;

[1760] a means for generating animation of the object in real time;

[1761] The system of claim 1 further comprising:

[1762] (Claim 3)

[1763] a means for providing a database for storing information about living creatures and exhibits in the form of text, images, and videos;

[1764] a real-time processing means for instantly providing information in response to a user's operation;

[1765] A communication means for transmitting and receiving information between the server and the terminal;

[1766] The system of claim 1 further comprising:

[1767] "Application Example 1"

[1768] (Claim 1)

[1769] means for detecting a touch operation by a user;

[1770] A means for generating related information by a generation AI based on a touch operation;

[1771] means for presenting the generated information to a user;

[1772] A means for detecting an operation by touching a product or scanning a QR code with a smartphone and displaying product information in real time;

[1773] A system including:

[1774] (Claim 2)

[1775] A means for distinguishing a particular object or part thereof based on the location of a user's touch operation;

[1776] a means for retrieving detailed information about the object from a database;

[1777] a means for generating animation of the object in real time;

[1778] A means for transmitting the information collected from the smartphone to a server for analysis;

[1779] a means for displaying the generated information transmitted from the server on a smartphone;

[1780] The system of claim 1 further comprising:

[1781] (Claim 3)

[1782] a means for providing a database for storing information about products and exhibits in the form of text, images, and videos;

[1783] a real-time processing means for instantly providing information in response to a user's operation;

[1784] A communication means for transmitting and receiving information between the server and the terminal;

[1785] A means for providing product information by operation using a smartphone;

[1786] The system of claim 1 further comprising:

[1787] "Example 2: Combining Emotion Engines"

[1788] (Claim 1)

[1789] means for detecting a touch operation by a user;

[1790] A means for generating related information by a generation AI based on a touch operation;

[1791] means for presenting the generated information to a user;

[1792] A means for recognizing the emotional state of a user by analyzing the user's facial expressions and voice;

[1793] means for selecting an optimal information format based on the emotional state;

[1794] A system including:

[1795] (Claim 2)

[1796] A means for distinguishing a particular object or part thereof based on the location of a user's touch operation;

[1797] a means for retrieving detailed information about the object from a database;

[1798] a means for generating animations appropriate to the emotional state in real time;

[1799] The system of claim 1 further comprising:

[1800] (Claim 3)

[1801] a means for providing a database for storing information about living creatures and exhibits in the form of text, images, and videos;

[1802] a real-time processing means for instantly providing information in response to a user's operation and emotional state;

[1803] A communication means for transmitting and receiving information between the server and the terminal;

[1804] The system of claim 1 further comprising:

[1805] "Application example 2 when combining emotion engines"

[1806] (Claim 1)

[1807] means for detecting a touch operation by a user;

[1808] A means for generating related information by a generation AI based on a touch operation;

[1809] means for presenting the generated information to a user;

[1810] emotion analysis means for recognizing the emotion of a user;

[1811] a means for adjusting the presentation of information based on the sentiment analysis results;

[1812] a communication means for transmitting the user's touch operation and emotional state to a server;

[1813] A system including:

[1814] (Claim 2)

[1815] A means for distinguishing a particular object or part thereof based on the location of a user's touch operation;

[1816] a means for retrieving detailed information about the object from a database;

[1817] a means for generating animation of the object in real time;

[1818] means for adjusting the content of the animation based on the emotional state of the user;

[1819] The system of claim 1 further comprising:

[1820] (Claim 3)

[1821] a means for providing a database for storing information about living creatures and exhibits in the form of text, images, and videos;

[1822] real-time processing means for instantly providing information in response to a user's operations and emotional state;

[1823] A communication means for transmitting and receiving information between the server and the terminal;

[1824] The system of claim 1 further comprising: [Explanation of symbols]

[1825] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for detecting a touch operation by a user; A means for generating related information by a generation AI based on a touch operation; means for presenting the generated information to a user; A system including:

2. A means for distinguishing a particular object or part thereof based on the location of a user's touch operation; a means for retrieving detailed information about the object from a database; a means for generating animation of the object in real time; The system of claim 1 further comprising:

3. a means for providing a database for storing information about living creatures and exhibits in the form of text, images, and videos; a real-time processing means for instantly providing information in response to a user's operation; A communication means for transmitting and receiving information between the server and the terminal; The system of claim 1 further comprising:

Images