System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving information such as a character, a theme, and a color preference based on a preference or interest input by a user; means for providing the received information to a generative AI model and instructing the generative AI model to generate a customized coloring picture; and means for transmitting the generated customized coloring picture to a terminal of the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Conventional general-purpose coloring books do not adequately address the individual preferences and interests of children, and parents and children themselves have the problem of having to spend time and effort creating coloring books by hand. To solve this problem, the present invention aims to provide a system that uses generative AI to easily generate and provide customized coloring books based on children's preferences and interests. [Means for solving the problem]

[0005] The present invention solves the above problems by providing a system including a means for receiving information such as character, theme, and color preferences based on preferences and interests input by a user, a means for providing the received information to a generative AI model and instructing it to generate a customized coloring book, and a means for transmitting the generated customized coloring book to the user's terminal (Claim 1). Furthermore, by including a means for the generative AI model to automatically create a coloring book based on specified characters and themes, it becomes possible to provide coloring books that meet a wider variety of needs (Claim 2). Furthermore, by including a means for providing an interface that allows a user or parent to easily input preferences and interests, the usability of the system can be improved (Claim 3).

[0006] "User" refers to a person who inputs their preferences and interests into the system to enjoy coloring books and receives the generated coloring books.

[0007] "Terminal" refers to the device through which a user interacts with the system, provides an input interface, and displays the generated coloring book.

[0008] "Server" refers to the central processing unit that receives user input data, instructs the generative AI model to generate a customized coloring book, and sends it to the device.

[0009] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates coloring pages based on user input.

[0010] "Character" refers to the image of a specific person, animal, object, etc. that is the subject of coloring.

[0011] "Theme" refers to the elements that determine the background, situation, and story of the coloring book.

[0012] "Color preferences" refer to particular colors or color combinations that a user desires to use when creating a coloring book.

[0013] "Means for receiving information" refers to the function of collecting user input data and converting it into a format that can be processed within the system.

[0014] "Means for instructing to generate" refers to the function of instructing the generative AI model to create a coloring book based on the received user information.

[0015] The "means for transmitting" refers to a function for transferring the generated customized coloring data to the user's terminal.

[0016] "Interface" refers to an operation screen or input form designed to allow users to easily input their preferences and interests. [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] The present invention relates to a system for generating and delivering customized coloring books based on a user's preferences and interests. The system includes a process that accepts user input and automatically creates a coloring book based on that information using a generative AI model.

[0039] System configuration

[0040] 1. User input reception (terminal)

[0041] The device provides a means for users to input information about their preferences and interests through a user interface designed to allow users to input their preferred characters (e.g., "cats"), themes (e.g., "space"), and color preferences (e.g., "blue and green").

[0042] 2. Data transmission (terminal -> server)

[0043] The device sends the information entered by the user to the server via an HTTP request, with the data packaged in JSON format.

[0044] 3. Request reception and analysis (server)

[0045] The server receives the HTTP request from the device and parses the data contained therein, including character, theme, and color preferences.

[0046] 4. Instructions for generating a coloring book (Server -> Generative AI model)

[0047] The server instructs the generative AI model to generate a coloring book based on the analyzed data. The generative AI model is programmed to automatically generate a new coloring book based on the specified characters and themes.

[0048] 5. Coloring book generation process (generative AI model)

[0049] The generative AI model uses the received data to generate a coloring book, generating images based on the user-specified characters "cat" and "space" themes, as well as blue and green hues.

[0050] 6. Sending the generated results (generated AI model -> server -> device)

[0051] The generative AI model returns the created coloring book to the server, which then sends the coloring book data to the user's device in a common file format such as PDF or image file.

[0052] 7. Displaying coloring books (device)

[0053] The terminal displays the received coloring data to the user, who can then download or print the generated coloring book and enjoy coloring it.

[0054] Specific examples

[0055] As an example, consider the following steps:

[0056] 1. Input example:

[0057] The user inputs a character called "cat," a theme called "space," and color preferences of "blue and green."

[0058] 2. Data transmission:

[0059] The terminal packages the input data in JSON format and sends it to the server via an HTTP request.

[0060] 3. Receiving and parsing the request:

[0061] The server receives the request and analyzes the data to extract the character "cat," the theme "space," and the color preference "blue and green."

[0062] 4. Instructions for creating a coloring book:

[0063] The server provides the analyzed data to a generative AI model, instructing it to generate a customized coloring book.

[0064] 5. Generation process:

[0065] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background, reflecting shades of blue and green.

[0066] 6. Sending the generated results:

[0067] The server receives the generated coloring book and sends it to the user's device.

[0068] 7. Coloring book display:

[0069] The device displays the received coloring book, and the user can download and print it to enjoy coloring it.

[0070] This system allows users to easily obtain customized coloring books that suit their preferences, enhancing creativity and enjoyment.

[0071] The processing flow will be explained below.

[0072] Step 1:

[0073] The terminal displays a user interface and provides a form where the user can enter their character, theme, and color preferences. The user enters their preferences and interests in the form. The terminal validates the entered data to ensure that all required fields are filled in.

[0074] Step 2:

[0075] The device packages the data entered by the user in JSON format, including character, theme, and color preferences, and sends this data to the server as an HTTP request.

[0076] Step 3:

[0077] The server receives HTTP requests from devices, analyzes the data, and extracts information about character, theme, and color preferences, which are then used as inputs to a generative AI model.

[0078] Step 4:

[0079] The server provides the extracted data to the generative AI model, which is programmed to automatically generate a new coloring book based on the specified characters and theme.

[0080] Step 5:

[0081] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"), and also reflects the user's specified color preferences (e.g., "blue and green").

[0082] Step 6:

[0083] The generative AI model returns the generated coloring data to the server, which then sends the received coloring data to the user's device. The file format sent is a common format such as PDF or image file.

[0084] Step 7:

[0085] The terminal displays the received coloring data to the user. The generated coloring book is shown to the user via the user interface. The user can then download or print the coloring book and enjoy coloring it.

[0086] Through this step, users can easily get a customized coloring book based on their preferences.

[0087] Example 1

[0088] 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."

[0089] Conventional coloring book generation systems have difficulty quickly and accurately generating customized coloring books that reflect a user's individual preferences and interests. Furthermore, the quality and variety of the generated coloring books are limited, resulting in low user satisfaction.

[0090] 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.

[0091] In this invention, the server includes means for receiving data such as character, theme, and color preferences based on the preferences and interests input by the user, means for analyzing the received data and generating a prompt sentence, means for providing the generated prompt sentence to a generative AI model and instructing it to generate a customized coloring book, means for transmitting the generated customized coloring book to the user's terminal, and means for allowing the user to display, download, or print the generated coloring book through a user interface. This enables the generation of a variety of high-quality customized coloring books that reflect the individual preferences and interests of the user.

[0092] A "user interface" is an interface through which a user interacts with a computer system or application.

[0093] A "generative AI model" is a model that uses machine learning or deep learning algorithms to generate new data or content.

[0094] A "prompt sentence" is a text-based input sentence that provides instructions or conditions to a generative AI model.

[0095] A "coloring book" is an activity in which line drawings are filled in with color, or a book or image for that purpose.

[0096] "Characters" refer to specific people, animals, and other characters or creatures that are the subject of coloring books.

[0097] A "theme" is a specific situation or concept that serves as the background or primary setting for a coloring book.

[0098] "Color preferences" refers to the color combinations and colors that a user particularly likes.

[0099] "Data" refers to a collection of information based on user-entered preferences and interests.

[0100] A "server" is a computer system that processes requests from user terminals on a network and provides services.

[0101] A "terminal" is an electronic device such as a computer or smartphone that a user uses to connect to a server and use a service.

[0102] The present invention relates to a system for generating and delivering customized coloring books based on a user's preferences and interests. The system includes a process that accepts user input and automatically creates a coloring book based on that information using a generative AI model.

[0103] System configuration

[0104] The system consists of the following main components:

[0105] 1. User Interface (Terminal)

[0106] The terminal provides an interface for user interaction. For example, it generates an input form through a web browser using HTML, CSS, and JavaScript. The user can use this form to input a character (e.g., "cat"), a theme (e.g., "space"), and color preferences (e.g., "blue and green").

[0107] 2. Data transmission and reception (terminal -> server)

[0108] The device packages the information entered by the user in JSON format and sends it via an HTTP POST request to the server, which receives the data using a web framework such as Python's Flask or Node.js's Express.

[0109] 3. Data analysis and prompt generation (server)

[0110] The server analyzes the received data and extracts character, theme, and color preferences, which are then used to generate prompts for the generative AI model, which are designed to accurately reflect the user's preferences.

[0111] Example: "Character: Cat", "Theme: Space", "Favorite Colors: Blue and Green"

[0112] 4. Sending a request to the generative AI model (server)

[0113] The server sends a request containing a prompt to the generative AI model, such as "Stable Diffusion." The server issues a generation command by sending an HTTP request via the API.

[0114] 5. Coloring book generation (generative AI model)

[0115] The generative AI model uses the prompt text to generate a high-resolution, customized coloring book, accurately reflecting shades of blue and green, and featuring cat and space themes.

[0116] 6. Sending the generated results (generated AI model -> server -> device)

[0117] The generative AI model returns the generated coloring book to the server, which converts it into an appropriate file format (e.g., PDF, JPEG, PNG) and sends it to the user's device.

[0118] 7. Display and save coloring pages (device)

[0119] The device displays the sent coloring data to the user. The user can then enjoy the created coloring book by downloading or printing it. The device's UI provides download and print buttons.

[0120] Specific examples

[0121] Here is a concrete example of how the system works:

[0122] 1. User Input

[0123] The user enters the character "cat," the theme "space," and the color preference "blue and green" into the input form on the device.

[0124] 2. Data Transmission

[0125] The terminal packages the input data in JSON format and sends it to the server via an HTTP POST request.

[0126] 3. Data analysis and prompt generation

[0127] The server receives the JSON data, extracts the data for the character "cat," the theme "space," and the color preference "blue and green," and generates a prompt sentence that combines them.

[0128] 4. Sending a request to the generative AI model

[0129] The server provides prompts to the generative AI model, instructing it to generate high-quality customized coloring books.

[0130] 5. Coloring book generation

[0131] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background and including shades of blue and green.

[0132] 6. Sending the generated results

[0133] The server receives the generated coloring book and sends it to the user's device.

[0134] 7. View and save your coloring book

[0135] The user's device displays the generated coloring book, which the user can download or print.

[0136] The above process allows for the rapid and accurate generation of a customized coloring book that reflects the user's individual preferences and interests.

[0137] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0138] Step 1: Displaying the User Interface (Terminal)

[0139] The terminal displays a user interface, which includes an input form that allows the user to input their character, theme, and color preferences. Specifically, the interface is designed using HTML, CSS, and JavaScript.

[0140] Input: None

[0141] Output: An interface that allows the user to enter input.

[0142] What it does: Loads an HTML file, styles it with CSS, and provides an interactive form with JavaScript.

[0143] Step 2: Accepting User Input (Terminal)

[0144] Users input their character "cat," theme "space," and color preference "blue and green." The device validates the input in real time to ensure accurate data.

[0145] Input: User-entered character, theme, and color preferences

[0146] Output: Validated input data

[0147] Specific behavior: Form validation using JavaScript, displaying error messages

[0148] Step 3: Sending input data (terminal -> server)

[0149] The terminal packages the data entered by the user in JSON format and sends it to the server via an HTTP POST request.

[0150] Input: Validated input data

[0151] Output: JSON data sent to the server

[0152] Specific behavior: Sends an HTTP POST request using the JavaScript Fetch API

[0153] Step 4: Data reception and analysis (server)

[0154] The server receives HTTP requests from devices and parses the JSON data to extract character, theme, and color preferences.

[0155] Input: JSON data sent from the terminal

[0156] Output: Extracted characters, themes, and color preferences

[0157] What it does: Parse JSON and extract data using Python and JavaScript

[0158] Step 5: Prompt Generation (Server)

[0159] The server generates prompts for the generative AI model based on the extracted data, such as "Character: cat," "Theme: space," and "Favorite colors: blue and green."

[0160] Input: Extracted characters, themes, and color preferences

[0161] Output: Generated prompt statement

[0162] Specific operation: Create a text format in Python and generate a prompt.

[0163] Step 6: Sending a request to the generative AI model (server)

[0164] The server sends the generated prompt to a generative AI model, such as "Stable Diffusion," and sends a request via an API.

[0165] Input: Generated prompt statement

[0166] Output: Sending a request to the generative AI model

[0167] Specific behavior: Sends an HTTP request to the API and provides a prompt.

[0168] Step 7: Coloring book generation (generative AI model)

[0169] The generative AI model generates customized coloring pages based on prompts, reflecting specified characters and themes and matching color preferences.

[0170] Input: prompt statement

[0171] Output: A customized coloring book

[0172] What it does: Generate high-resolution images using deep learning algorithms

[0173] Step 8: Sending the generated results (generated AI model -> server -> device)

[0174] The generative AI model returns the generated coloring book to the server, which converts the coloring book data into an appropriate file format (PDF, JPEG, PNG, etc.) and sends it to the user's device.

[0175] Input: Generated coloring book

[0176] Output: Coloring data sent to the user's device

[0177] Specific operation: Receives coloring data, converts the file format if necessary, and sends it to the device as an HTTP response.

[0178] Step 9: View and save your coloring book (device)

[0179] The terminal displays the transmitted coloring data to the user, who can then download or print the displayed coloring book.

[0180] Input: Submitted coloring data

[0181] Output: Coloring, download, and print options displayed to the user

[0182] Specific behavior: Display a coloring book using HTML Canvas and Image tags, and provide download and print buttons

[0183] This process allows for the creation and display of customized coloring pages based on the user's preferences and interests.

[0184] (Application example 1)

[0185] 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."

[0186] Conventional coloring book providing systems only generate customized coloring books according to the user's preferences and interests, but there is no way for the user to immediately receive the generated coloring book. This makes it difficult for users to easily and quickly enjoy customized coloring books in physical stores. In addition, separate printing equipment and operations are required to print the coloring book, which is inconvenient.

[0187] 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.

[0188] In this invention, the server includes means for receiving information such as character, theme, and color preferences based on the preferences and interests input by the user, means for providing the received information to a generative AI model and instructing it to generate a customized coloring book, means for transmitting the generated customized coloring book to the user's terminal, means for receiving data for generating a coloring book based on the specified character or theme and printing it on the spot, and means for displaying the generated coloring book on an interactive kiosk terminal, thereby enabling users to easily and quickly enjoy a customized coloring book tailored to their preferences in a physical store.

[0189] "User" refers to any individual or entity that wishes to use the System to generate a customized coloring book.

[0190] "Preferences and interests" refers to the individual preferences and interests of the user, and is a general term for information including character, theme, color selection, etc.

[0191] "Characters" refers to characters and animals that appear in illustrations, animations, etc.

[0192] "Theme" refers to the concept of the background, situation, scene, etc. used in the coloring book.

[0193] "Color preferences" refers to the user's selection of desired shades or color schemes to use in the coloring book.

[0194] A "generative AI model" refers to an artificial intelligence (AI) algorithm or neural network that automatically generates a customized coloring book based on information provided by the user.

[0195] "Terminal" refers to a device used by a user to operate the system, including smartphones, tablets, PCs, kiosk terminals, etc.

[0196] An "interactive kiosk terminal" refers to a publicly installed information terminal that can be operated by direct contact with a user and has a display that can provide instant output.

[0197] A "customized coloring book" refers to a coloring book with unique content that is automatically generated by a generative AI model based on the user's preferences and interests.

[0198] "Means for receiving data and printing on the spot" refers to a device or mechanism that has the function of receiving the generated customized coloring book data in real time and immediately physically printing it.

[0199] The present invention relates to a system for creating customized coloring books based on a user's preferences and interests and providing the coloring books at an interactive kiosk terminal installed in a brick-and-mortar store. Specific embodiments of the system are described in detail below.

[0200] System configuration

[0201] Accepting user input (touch screen)

[0202] Users first use a touchscreen kiosk in a brick-and-mortar store to input information about their preferences and interests, specifically selecting their character, theme, and color preferences. The interface is built using HTML, CSS, and JavaScript. For example, a user might input a "penguin" character, a "Antarctic" theme, and a "blue and white" color preference.

[0203] Data transmission (terminal -> server)

[0204] The entered data is packaged in JSON format and sent to the server via an HTTP request, which accurately conveys information about the user's preferences and interests to the server.

[0205] Request reception and analysis (server)

[0206] The server parses the received HTTP request and extracts data, specifically the character "Penguin," the theme "Antarctica," and the color preference "Blue and White." The server-side processing is implemented using Python and Flask.

[0207] Instructions for generating a coloring book (Server -> Generative AI model)

[0208] The server provides the analyzed data to a generative AI model, which is built using machine learning frameworks such as TENSORFLOW (registered trademark) and PyTorch, and generates a coloring book based on the provided data.

[0209] Coloring book generation process (generative AI model)

[0210] The generative AI model uses built-in algorithms to generate coloring images based on user-specified characters and themes, such as a customized coloring book featuring penguins against an Antarctic backdrop, with blue and white as the color palette.

[0211] Sending the generated results (generated AI model -> server -> device)

[0212] The coloring data returned by the generative AI model is sent back to the server and then sent to the kiosk terminal used by the user. The data is sent in PDF or a common image file format.

[0213] Display and print coloring pages (device)

[0214] The user's device displays the received coloring book data on the touch screen of the interactive kiosk terminal for the user to confirm, after which the terminal instantly prints the coloring book using the built-in high-speed printer.

[0215] Specific examples

[0216] For example, if the user selects "penguin," "antarctic," and "blue and white," this data is sent to the server and the generative AI model generates the following prompt:

[0217] Character: Penguin

[0218] Theme: Antarctica

[0219] Color preference: Blue and white

[0220] This generates a coloring book with a blue and white theme featuring a penguin standing against an Antarctic backdrop, and users can receive the printed coloring book on the spot.

[0221] This system allows users to easily and quickly enjoy customized coloring books tailored to their preferences in physical stores.

[0222] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0223] Step 1:

[0224] The terminal (a touchscreen installed on a kiosk) accepts input from the user about character, theme, color preferences, etc. The user enters information such as "penguin," "Antarctica," and "blue and white." This input data is packaged in JSON format.

[0225] Input: User-selected character, theme, and color preferences

[0226] Output: Input data in JSON format

[0227] Step 2:

[0228] The device sends the packaged JSON-formatted data to the server via an HTTP request, and the data is sent over the network.

[0229] Input: Input data in JSON format

[0230] Output: HTTP request sent to the server

[0231] Step 3:

[0232] The server analyzes the received HTTP request, parses the JSON data, extracts character, theme, and color preferences, and converts the analysis results into a format that can be passed to the generative AI model.

[0233] Input: HTTP request (JSON data)

[0234] Output: Parsed character, theme, and color preference data

[0235] Step 4:

[0236] The server then provides the parsed data to a generative AI model, which is built on machine learning frameworks such as TensorFlow and PyTorch, to generate a customized coloring book.

[0237] Input: Parsed character, theme, and color preference data

[0238] Output: Instructions for generating a coloring book to the generative AI model

[0239] Step 5:

[0240] A generative AI model generates customized coloring pages based on the data provided. It uses specific algorithms to create coloring images. For example, it might generate a coloring page featuring penguins standing against an Antarctic background in blue and white.

[0241] Input: Generation instruction data from the server

[0242] Output: Generated customized coloring book image

[0243] Step 6:

[0244] The generative AI model returns the generated coloring book to the server, which then repackages the coloring book data and sends it to the device. The data sent can be in PDF or a standard image file format.

[0245] Input: Generated customized coloring book image

[0246] Output: Send coloring book data (PDF or image file format)

[0247] Step 7:

[0248] The terminal displays the received customized coloring data and has an interface for the user to confirm. After the user confirms, the coloring book is printed on the spot using a high-speed printer.

[0249] Input: Received coloring data

[0250] Output: Coloring page display on the interface and printed coloring page

[0251] 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.

[0252] The present invention relates to a system that generates and provides customized coloring books based on a user's preferences and interests. Furthermore, the present invention enhances the user experience by incorporating an emotion engine that recognizes the user's emotions and suggests appropriate character, theme, and color preferences based on the emotions. The system includes a process that accepts user input and automatically creates a coloring book using a generative AI model based on the input.

[0253] System configuration

[0254] 1. User input reception (terminal)

[0255] The device provides a means for users to input information about their preferences and interests through a user interface. The interface is designed to allow users to input their preferred characters (e.g., "cat"), themes (e.g., "space"), and color preferences (e.g., "blue and green"). The emotion engine can also recognize emotions by analyzing the user's facial and voice data.

[0256] 2. Emotion Engine (Terminal)

[0257] The on-device emotion engine analyzes the user's facial expressions and voice data in real time to determine their emotions. Based on the recognized emotions, the system can suggest characters, themes, and color preferences that match the user's tastes.

[0258] 3. Data transmission (terminal -> server)

[0259] The device packages the data entered by the user and the data suggested by the emotion engine in JSON format and sends it to the server via an HTTP request.

[0260] 4. Request Reception and Analysis (Server)

[0261] The server receives the HTTP request from the device and analyzes the data contained therein, including character, theme, and color preferences, as well as information suggested by the emotion engine.

[0262] 5. Instructions for generating a coloring book (Server -> Generative AI model)

[0263] The server instructs the generative AI model to generate a coloring book based on the analyzed data. The generative AI model is programmed to automatically generate a new coloring book based on the specified characters and themes.

[0264] 6. Coloring book generation process (generative AI model)

[0265] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"), and also reflects the user's specified color preferences (e.g., "blue and green").

[0266] 7. Sending the generated results (generated AI model -> server -> device)

[0267] The generative AI model returns the generated coloring book data to the server, which then sends the data to the user's device in a common file format such as PDF or image file.

[0268] 8. Displaying coloring books (device)

[0269] The terminal displays the received coloring data to the user. The generated coloring book is shown to the user via the user interface. The user can then download or print the coloring book and enjoy coloring it.

[0270] Specific examples

[0271] As an example, consider the following steps:

[0272] 1. Input example:

[0273] Users input a character like "cat," a theme like "space," and a color preference of "blue and green." The emotion engine recognizes the user's smile and detects joy. Based on this, it makes suggestions like "bright background" or "starry sky."

[0274] 2. Data transmission:

[0275] The device packages the input data and the data suggested by the emotion engine in JSON format and sends it to the server via an HTTP request.

[0276] 3. Receiving and parsing the request:

[0277] The server receives the request and analyzes the data to extract the character "cat," the theme "space," and the color preference "blue and green." Additionally, the emotion engine's suggestion data is also analyzed.

[0278] 4. Instructions for creating a coloring book:

[0279] The server provides the analyzed data to a generative AI model, instructing it to generate a customized coloring book.

[0280] 5. Generation process:

[0281] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background, reflecting blue and green hues. Based on the emotion engine's suggestions, a starry sky is added to the background.

[0282] 6. Sending the generated results:

[0283] The server receives the generated coloring book and sends it to the user's device.

[0284] 7. Coloring book display:

[0285] The device displays the coloring book and presents it to the user via a user interface, who can then download, print, and enjoy the coloring book.

[0286] The system allows users to easily access customized coloring pages based on their preferences and current emotions, further enhancing creativity and enjoyment.

[0287] The processing flow will be explained below.

[0288] Step 1:

[0289] The device displays a user interface and provides a form for the user to enter their preferences for characters, themes, and colors. The user enters their preferences and interests in the form. The device validates the entered data and ensures that all required fields are entered. At this point, the device also obtains the user's facial expressions and voice data and provides it to the emotion engine.

[0290] Step 2:

[0291] The emotion engine on the device analyzes the user's facial expressions and voice data to recognize their emotions. For example, if the user is smiling, it is recognized as "joy," and if they are frowning, it is recognized as "surprise." The emotion engine then suggests the most suitable characters, themes, and color preferences based on the recognized emotions.

[0292] Step 3:

[0293] The device packages the data entered by the user and the data suggested by the emotion engine in JSON format. This JSON data includes character, theme, color preferences, and the emotion engine's suggestions. The device then sends this data to the server as an HTTP request.

[0294] Step 4:

[0295] The server receives HTTP requests from devices, analyzes the data, and extracts information about characters, themes, color preferences, and emotion engine suggestions. The extracted information is then formatted as input data for the generative AI model.

[0296] Step 5:

[0297] The server provides the analyzed data to the generative AI model, which is programmed to automatically generate a new coloring book based on the specified characters and theme.

[0298] Step 6:

[0299] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"). Based on suggestions from the emotion engine, additional elements such as a starry sky background are incorporated, and color preferences (e.g., "blue and green") are also applied.

[0300] Step 7:

[0301] The generative AI model returns the generated coloring data to the server, which then sends the received coloring data to the user's device. The file format sent is a common format such as PDF or image file.

[0302] Step 8:

[0303] The terminal displays the received coloring data on the user interface. The user can check the displayed customized coloring book and enjoy downloading or printing it. The user can unleash their creativity using the customized coloring book provided by the system.

[0304] Example 2

[0305] 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."

[0306] Conventional coloring book generation systems lack functionality to improve the user experience, and lack the ability to customize based on user preferences and interests. Furthermore, there are no systems that recognize users' emotions and make suggestions based on them. Therefore, it is difficult to provide users with customized coloring books that satisfy their needs.

[0307] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for receiving information such as character, theme, and color preferences based on preferences and interests input by the user, a means for providing the received information and the user's emotion recognition results to a generative AI model and instructing it to generate a customized coloring book, a means for transmitting the generated customized coloring book to the user's terminal, and a means for displaying the received coloring book data to the user and enabling download or printing. This enables the generation of a more personalized coloring book based on the user's input and emotions.

[0308] "User-entered preferences and interests" refers to information such as character, theme, and color preferences that a user enters through an interface.

[0309] "Emotion recognition result" is the result of analyzing the user's facial expressions and voice data in real time and determining the user's emotions.

[0310] A "generative AI model" is an artificial intelligence model that automatically generates coloring pages based on specified characters or themes.

[0311] A "customized coloring book" is a coloring book that is automatically created by a generative AI model based on user-entered preferences, interests, and emotions.

[0312] "Server" is a central processing unit that receives, analyzes, and provides user-entered data to the generative AI model.

[0313] A "user terminal" is an electronic device through which a user inputs information and receives and displays the generated customized coloring book.

[0314] A "user interface" is an operating screen that allows users to easily input information based on their preferences, interests, and emotions.

[0315] "Data transmission" is the process of sending information entered by the user and emotion recognition results from the terminal to the server.

[0316] "Data analysis" is the process by which the server reads the data it receives and extracts the necessary information.

[0317] "Downloading or printing" refers to the act of the user saving the generated coloring book from the terminal or printing it out on paper.

[0318] The present invention relates to a system that generates and provides customized coloring books based on a user's preferences and interests. Furthermore, the present invention enhances the user experience by incorporating an emotion engine that recognizes the user's emotions and suggests appropriate character, theme, and color preferences based on the emotions. The system includes a process that accepts user input and automatically creates a coloring book using a generative AI model based on the input.

[0319] Hardware and software used

[0320] 1. Terminal

[0321] A device for providing a user interface, including tablets and smartphones.

[0322] It is equipped with a camera and microphone to capture the user's facial expressions and voice.

[0323] Equipped with an emotion recognition engine, it analyzes the user's emotions in real time.

[0324] 2. Server

[0325] Receives and analyzes data sent from the terminal.

[0326] Sends data and instructions to the generative AI model.

[0327] The generated coloring data is sent to the user's terminal.

[0328] 3. Generative AI Models

[0329] An artificial intelligence model that automatically generates coloring pages based on specified characters and themes.

[0330] An example is a deep learning-based image generation model.

[0331] How it works

[0332] User input reception (terminal)

[0333] Users input their character (e.g., "cat"), theme (e.g., "space"), and color preferences (e.g., "blue and green") through the device's user interface. The device's built-in camera and microphone also capture facial expressions and voice, and this data is analyzed in real time by an emotion recognition engine. Based on the analyzed emotion data, the system makes suggestions that match the user's preferences.

[0334] Data transmission (terminal -> server)

[0335] The data entered by the user and the data analyzed by the emotion recognition engine are sent from the device to the server in JSON format using an HTTP request.

[0336] Request reception and analysis (server)

[0337] The server receives the HTTP request from the device and parses the data contained therein, including the user's input preferences for characters, themes, and colors, as well as additional information suggested by an emotion recognition engine.

[0338] Instructions for generating a coloring book (Server -> Generative AI model)

[0339] The server provides the analyzed data to the generative AI model and instructs it to generate a customized coloring book. Based on this data, the generative AI model generates a customized coloring book that reflects the specified characters and theme.

[0340] Sending the generated results (generated AI model -> server -> device)

[0341] The coloring book data generated by the generative AI model is sent back to the server, which then sends it to the user's device in a standard PDF or image file format.

[0342] Display coloring book (device)

[0343] The device displays the received coloring data to the user through a user interface, allowing the user to view the coloring page on the screen and download or print it.

[0344] Specific examples of operation

[0345] 1. Example user input:

[0346] Character: "Cat"

[0347] Theme: "Space"

[0348] Color preference: "Blue and green"

[0349] 2. Example prompt:

[0350] Character: Cat

[0351] Theme: Space

[0352] Color preference: Blue and green

[0353] Suggestions: bright background, starry sky

[0354] The system allows users to easily access customized coloring pages based on their preferences and current emotions, further enhancing creativity and enjoyment.

[0355] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0356] Step 1: Accepting user input (terminal)

[0357] The terminal provides a user interface for user input. The user uses this interface to input information such as a character (e.g., "cat"), a theme (e.g., "space"), and color preferences (e.g., "blue and green"). The terminal captures the input data and stores it internally.

[0358] input:

[0359] Information that users enter on the interface, such as character, theme, and color preferences.

[0360] output:

[0361] User input data stored on the device.

[0362] Specific behavior:

[0363] The user enters "cat," "space," and "blue and green" into the text fields and clicks the "Submit" button.

[0364] Step 2: Emotion Recognition (Device)

[0365] The device uses a built-in camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this data in real time and determines the user's emotion. For example, if the user is smiling, it is determined to be "happy."

[0366] input:

[0367] Facial and voice data of the user captured by a camera and microphone.

[0368] output:

[0369] User emotion data determined by the emotion engine.

[0370] Specific behavior:

[0371] The user smiles at the camera and speaks into the microphone, and the device collects this data and analyzes their emotions.

[0372] Step 3: Send data (device -> server)

[0373] The device packages the data entered by the user and the emotion recognition data in JSON format and sends it to the server as an HTTP request. When the request is sent, the message "Transmission has started" is displayed.

[0374] input:

[0375] User input data and emotion recognition data.

[0376] output:

[0377] The HTTP request sent to the server in JSON format.

[0378] Specific behavior:

[0379] When the "Send" button is clicked, the user's input data and emotion data are converted into JSON format and sent to the server as an HTTP request.

[0380] Step 4: Receiving and parsing the request (server)

[0381] The server receives the HTTP request from the device and parses the JSON data, which includes the character, theme, color preference, and emotion recognition results. The server extracts this information and processes it.

[0382] input:

[0383] JSON format data received from the terminal.

[0384] output:

[0385] Analyzed characters, themes, color preferences, and emotion recognition results.

[0386] Specific behavior:

[0387] The server receives the HTTP request, parses the JSON data, and stores the information in specific variables.

[0388] Step 5: Instructions for generating a coloring book (Server -> Generative AI model)

[0389] The server then instructs the AI ​​model to generate a coloring book based on the analyzed data. Specifically, it sends the prompt text "Character: cat, theme: space, color preference: blue and green, suggestions: bright background, starry sky" to the AI ​​model.

[0390] input:

[0391] Analyzed user character, theme, color preferences, and emotion recognition results.

[0392] output:

[0393] The prompt sent to the generative AI model.

[0394] Specific behavior:

[0395] The server generates a prompt sentence based on the analysis results and sends it to the generative AI model.

[0396] Step 6: Coloring book generation process (generative AI model)

[0397] The generative AI model generates a coloring book based on prompts received from the server, resulting in a customized coloring book that reflects the user's specified character ("cat"), theme ("space"), and color preferences ("blue and green").

[0398] input:

[0399] The prompt text sent by the server.

[0400] output:

[0401] Generated customized coloring data.

[0402] Specific behavior:

[0403] A generative AI model analyzes the prompt and generates a coloring book based on it.

[0404] Step 7: Sending the generated results (generated AI model -> server -> device)

[0405] The generative AI model returns the generated coloring data to the server, which then sends it to the user's device as a PDF or JPEG file.

[0406] input:

[0407] Generated coloring data returned from the generative AI model.

[0408] output:

[0409] Coloring book data sent to the user's device.

[0410] Specific behavior:

[0411] The server sends the coloring data received from the generated AI model to the terminal.

[0412] Step 8: View the coloring book (device)

[0413] The device displays the received coloring data on a user interface. The user can check the coloring page on the screen and save or print it by clicking the "Download" or "Print" button.

[0414] input:

[0415] Coloring book data sent from the server.

[0416] output:

[0417] The coloring data displayed to the user.

[0418] Specific behavior:

[0419] The device displays the coloring data, and the user clicks the "Download" or "Print" button to save or print it.

[0420] (Application example 2)

[0421] 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."

[0422] In conventional factory work environments, workers' motivation and stress management have not been adequately considered, resulting in issues such as reduced productivity and a worsening working environment. In particular, there are many cases where workers feel fatigued and mentally burdened due to monotony of work and long working hours. The present invention aims to solve these issues by generating entertainment content customized to the worker's emotions and preferences, thereby improving the working environment.

[0423] 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.

[0424] In this invention, the server includes: means for receiving information such as character, theme, and color preferences based on the preferences and interests input by the user; means for instructing a generative AI model to generate customized content using the received information and an emotion engine that recognizes and processes the user's emotions; and means for transmitting the generated customized content to a display device and audio device installed in the user's terminal or work environment. This makes it possible to provide visual and audio entertainment content that suits the worker's emotions and preferences, which is expected to have the effect of improving the work environment.

[0425] "User-input preferences and interests" refers to personal preference information such as characters, themes, and color preferences selected and input by the user.

[0426] A "character" is a fictional or real person, animal, or anthropomorphic being with a particular trait or characteristic.

[0427] A "theme" is a subject or context related to a particular situation, environment, concept, idea, or setting.

[0428] "Color preferences" are a user's preferences for particular colors or color combinations.

[0429] The "emotion engine" is a system that analyzes the user's facial expressions and voice data in real time to determine the user's emotions.

[0430] A "generative AI model" is an artificial intelligence algorithm that automatically generates content (such as coloring books, visual and auditory content) based on input data.

[0431] "Customized Content" means visual or auditory content that is individually tailored and generated based on a user's preferences and emotions.

[0432] A "terminal" is a device that allows a user to input information, check displayed content, and use it.

[0433] "Display and audio devices" are devices used to visually or audibly present the generated customized content to the user.

[0434] The system is designed to generate customized entertainment content based on factory workers' emotions and preferences to enhance their working environment.

[0435] 1. User input reception (terminal)

[0436] The terminal provides a way for workers to input information about their preferences and interests through a user interface built into the factory robot. Users input preferences for specific characters, themes, and colors into the interface. They can also input prompts such as "your favorite theme or character" and "facial expressions and words that express your mood."

[0437] 2. Emotion Engine (Terminal)

[0438] The emotion engine installed on the terminal analyzes the worker's facial expressions and voice in real time to determine their emotions, thereby recognizing their current emotional state (e.g., "fatigue").

[0439] 3. Data transmission (terminal -> server)

[0440] The device packages the preference data entered by the user and the emotion data recognized by the emotion engine into JSON format and sends it to the server via an HTTP request.

[0441] 4. Request Reception and Analysis (Server)

[0442] The server receives the HTTP request sent from the device and analyzes the data contained therein, including the character, theme, color preference, and current emotional state.

[0443] 5. Instructions for customized content generation (Server -> Generative AI model)

[0444] The server then uses the analyzed data to instruct the generative AI model to generate customized content, which then generates new visual and auditory content based on the specified characters and themes.

[0445] 6. Content generation process (generative AI model)

[0446] The generative AI model generates customized visual and auditory content based on the provided data, including user-specified characters, themes, and color palettes, and incorporates elements suggested by the emotion engine (e.g., relaxing background music and visuals).

[0447] 7. Sending the generated results (generated AI model -> server -> device)

[0448] The generative AI model sends the generated content back to the server, which then sends it to the factory robot's terminal.

[0449] 8. Content display and playback (device)

[0450] The terminal displays and plays the generated customized content to workers through the factory robot's display and speakers.

[0451] Hardware and software used

[0452] Emotion Engine: A system (EmotionEngine) that analyzes facial expressions and voice in real time and recognizes emotions.

[0453] Generative AI model: An algorithm (AIContentGenerator) that generates customized visual and auditory content based on input data.

[0454] Terminal: A part of a factory robot that includes a user interface, display, speaker, etc.

[0455] Server: Responsible for analyzing data and instructing the generative AI model.

[0456] Specific examples

[0457] For example, if a worker's preference is "cats," the theme is "relaxation," and the color preference is "blue" and "green," the emotion engine may recognize "fatigue." Based on this data, the generative AI model will generate a "cat" character, a "relaxation"-themed background in blue and green, and soothing music. This content is provided to the worker via the factory robot's terminal.

[0458] Prompt Sentence Examples

[0459] "Generate background and music that the user needs to relax. Character is cat, theme is relaxing, and color preference is blue and green."

[0460] In this way, content that matches the worker's emotions and preferences can be provided, which is expected to improve the work environment and work efficiency.

[0461] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0462] Step 1:

[0463] Accepts data based on user-entered preferences and interests.

[0464] Through the user interface on the terminal of the factory robot, the user inputs a specific character (e.g., "cat"), a theme (e.g., "relax"), color preferences (e.g., "blue" and "green"), etc. The input data is collected by the terminal.

[0465] Step 2:

[0466] The emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state.

[0467] The device's emotion engine recognizes the user's face and analyzes their voice in real time to determine their emotions. For example, it can recognize "fatigue" through facial expression analysis. The input data is the user's facial expression and voice data, and the output is their emotional state.

[0468] Step 3:

[0469] The input data and emotion data are sent to the server.

[0470] The device packages the preference data entered by the user and the emotion data recognized by the emotion engine in JSON format and sends it to the server via an HTTP request. The input is the packaged data, and the destination is the server.

[0471] Step 4:

[0472] The server parses the received data.

[0473] The server receives the HTTP request sent from the device and parses the data contained therein. The parsed data includes characters, themes, color preferences, and emotional states. The input is the packaged data, and the output is the parsed data.

[0474] Step 5:

[0475] The server instructs the generative AI model to generate content.

[0476] The server uses the analyzed data to instruct the generative AI model to generate customized content. The generative AI model receives prompts to generate content based on inputs such as character, theme, color, and emotional state. The input is the analyzed data, and the output is the data that instructs generation.

[0477] Step 6:

[0478] Generative AI models generate customized content.

[0479] A generative AI model generates customized visual and auditory content based on the provided data, including content reflecting user-specified characters (e.g., "cat"), themes (e.g., "relaxation"), and color tones (e.g., "blue and green"), as well as elements suggested by an emotion engine (e.g., relaxing music for users feeling "fatigued"). The input is instruction data, and the output is generated content.

[0480] Step 7:

[0481] The generated content is returned to the server and transmitted to the terminal.

[0482] The generative AI model returns the generated content to the server, which then sends it to the factory robot's terminal. The input is the generated content data, and the output is the data sent to the terminal.

[0483] Step 8:

[0484] The device displays and plays the generated content.

[0485] The terminal uses the factory robot's display and speaker to display and play content customized for the worker. The displayed content is visual and auditory entertainment for relaxation purposes, thereby reducing stress and increasing motivation for the worker. The input is the content data sent to the terminal, and the output is the content that is displayed and played.

[0486] 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.

[0487] 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.

[0488] 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.

[0489] [Second embodiment]

[0490] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0491] 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.

[0492] 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).

[0493] 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.

[0494] 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.

[0495] 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).

[0496] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0497] 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.

[0498] 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.

[0499] 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.

[0500] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0501] 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."

[0502] The present invention relates to a system for generating and delivering customized coloring books based on a user's preferences and interests. The system includes a process that accepts user input and automatically creates a coloring book based on that information using a generative AI model.

[0503] System configuration

[0504] 1. User input reception (terminal)

[0505] The device provides a means for users to input information about their preferences and interests through a user interface designed to allow users to input their preferred characters (e.g., "cats"), themes (e.g., "space"), and color preferences (e.g., "blue and green").

[0506] 2. Data transmission (terminal -> server)

[0507] The device sends the information entered by the user to the server via an HTTP request, with the data packaged in JSON format.

[0508] 3. Request reception and analysis (server)

[0509] The server receives the HTTP request from the device and parses the data contained therein, including character, theme, and color preferences.

[0510] 4. Instructions for generating a coloring book (Server -> Generative AI model)

[0511] The server instructs the generative AI model to generate a coloring book based on the analyzed data. The generative AI model is programmed to automatically generate a new coloring book based on the specified characters and themes.

[0512] 5. Coloring book generation process (generative AI model)

[0513] The generative AI model uses the received data to generate a coloring book, generating images based on the user-specified characters "cat" and "space" themes, as well as blue and green hues.

[0514] 6. Sending the generated results (generated AI model -> server -> device)

[0515] The generative AI model returns the created coloring book to the server, which then sends the coloring book data to the user's device in a common file format such as PDF or image file.

[0516] 7. Displaying coloring books (device)

[0517] The terminal displays the received coloring data to the user, who can then download or print the generated coloring book and enjoy coloring it.

[0518] Specific examples

[0519] As an example, consider the following steps:

[0520] 1. Input example:

[0521] The user inputs a character called "cat," a theme called "space," and color preferences of "blue and green."

[0522] 2. Data transmission:

[0523] The terminal packages the input data in JSON format and sends it to the server via an HTTP request.

[0524] 3. Receiving and parsing the request:

[0525] The server receives the request and analyzes the data to extract the character "cat," the theme "space," and the color preference "blue and green."

[0526] 4. Instructions for creating a coloring book:

[0527] The server provides the analyzed data to a generative AI model, instructing it to generate a customized coloring book.

[0528] 5. Generation process:

[0529] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background, reflecting shades of blue and green.

[0530] 6. Sending the generated results:

[0531] The server receives the generated coloring book and sends it to the user's device.

[0532] 7. Coloring book display:

[0533] The device displays the received coloring book, and the user can download and print it to enjoy coloring it.

[0534] This system allows users to easily obtain customized coloring books that suit their preferences, enhancing creativity and enjoyment.

[0535] The processing flow will be explained below.

[0536] Step 1:

[0537] The terminal displays a user interface and provides a form where the user can enter their character, theme, and color preferences. The user enters their preferences and interests in the form. The terminal validates the entered data to ensure that all required fields are filled in.

[0538] Step 2:

[0539] The device packages the data entered by the user in JSON format, including character, theme, and color preferences, and sends this data to the server as an HTTP request.

[0540] Step 3:

[0541] The server receives HTTP requests from devices, analyzes the data, and extracts information about character, theme, and color preferences, which are then used as inputs to a generative AI model.

[0542] Step 4:

[0543] The server provides the extracted data to the generative AI model, which is programmed to automatically generate a new coloring book based on the specified characters and theme.

[0544] Step 5:

[0545] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"), and also reflects the user's specified color preferences (e.g., "blue and green").

[0546] Step 6:

[0547] The generative AI model returns the generated coloring data to the server, which then sends the received coloring data to the user's device. The file format sent is a common format such as PDF or image file.

[0548] Step 7:

[0549] The terminal displays the received coloring data to the user. The generated coloring book is shown to the user via the user interface. The user can then download or print the coloring book and enjoy coloring it.

[0550] Through this step, users can easily get a customized coloring book based on their preferences.

[0551] Example 1

[0552] 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."

[0553] Conventional coloring book generation systems have difficulty quickly and accurately generating customized coloring books that reflect a user's individual preferences and interests. Furthermore, the quality and variety of the generated coloring books are limited, resulting in low user satisfaction.

[0554] 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.

[0555] In this invention, the server includes means for receiving data such as character, theme, and color preferences based on the preferences and interests input by the user, means for analyzing the received data and generating a prompt sentence, means for providing the generated prompt sentence to a generative AI model and instructing it to generate a customized coloring book, means for transmitting the generated customized coloring book to the user's terminal, and means for allowing the user to display, download, or print the generated coloring book through a user interface. This enables the generation of a variety of high-quality customized coloring books that reflect the individual preferences and interests of the user.

[0556] A "user interface" is an interface through which a user interacts with a computer system or application.

[0557] A "generative AI model" is a model that uses machine learning or deep learning algorithms to generate new data or content.

[0558] A "prompt sentence" is a text-based input sentence that provides instructions or conditions to a generative AI model.

[0559] A "coloring book" is an activity in which line drawings are filled in with color, or a book or image for that purpose.

[0560] "Characters" refer to specific people, animals, and other characters or creatures that are the subject of coloring books.

[0561] A "theme" is a specific situation or concept that serves as the background or primary setting for a coloring book.

[0562] "Color preferences" refers to the color combinations and colors that a user particularly likes.

[0563] "Data" refers to a collection of information based on user-entered preferences and interests.

[0564] A "server" is a computer system that processes requests from user terminals on a network and provides services.

[0565] A "terminal" is an electronic device such as a computer or smartphone that a user uses to connect to a server and use a service.

[0566] The present invention relates to a system for generating and delivering customized coloring books based on a user's preferences and interests. The system includes a process that accepts user input and automatically creates a coloring book based on that information using a generative AI model.

[0567] System configuration

[0568] The system consists of the following main components:

[0569] 1. User Interface (Terminal)

[0570] The device provides an interface for user interaction, for example, by generating an input form using HTML, CSS, and JavaScript through a web browser. The user can use this form to input a character (e.g., "cat"), a theme (e.g., "space"), and color preferences (e.g., "blue and green").

[0571] 2. Data transmission and reception (terminal -> server)

[0572] The device packages the information entered by the user in JSON format and sends it via an HTTP POST request to the server, which receives the data using a web framework such as Python's Flask or Node.js's Express.

[0573] 3. Data analysis and prompt generation (server)

[0574] The server analyzes the received data and extracts character, theme, and color preferences, which are then used to generate prompts for the generative AI model, which are designed to accurately reflect the user's preferences.

[0575] Example: "Character: Cat", "Theme: Space", "Favorite Colors: Blue and Green"

[0576] 4. Sending a request to the generative AI model (server)

[0577] The server sends a request containing a prompt to the generative AI model, such as "Stable Diffusion." The server issues a generation command by sending an HTTP request via the API.

[0578] 5. Coloring book generation (generative AI model)

[0579] The generative AI model uses the prompt text to generate a high-resolution, customized coloring book, accurately reflecting shades of blue and green, and featuring cat and space themes.

[0580] 6. Sending the generated results (generated AI model -> server -> device)

[0581] The generative AI model returns the generated coloring book to the server, which converts it into an appropriate file format (e.g., PDF, JPEG, PNG) and sends it to the user's device.

[0582] 7. Display and save coloring pages (device)

[0583] The device displays the sent coloring data to the user. The user can then enjoy the created coloring book by downloading or printing it. The device's UI provides download and print buttons.

[0584] Specific examples

[0585] Here is a concrete example of how the system works:

[0586] 1. User Input

[0587] The user enters the character "cat," the theme "space," and the color preference "blue and green" into the input form on the device.

[0588] 2. Data Transmission

[0589] The terminal packages the input data in JSON format and sends it to the server via an HTTP POST request.

[0590] 3. Data analysis and prompt generation

[0591] The server receives the JSON data, extracts the data for the character "cat," the theme "space," and the color preference "blue and green," and generates a prompt sentence that combines them.

[0592] 4. Sending a request to the generative AI model

[0593] The server provides prompts to the generative AI model, instructing it to generate high-quality customized coloring books.

[0594] 5. Coloring book generation

[0595] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background and including shades of blue and green.

[0596] 6. Sending the generated results

[0597] The server receives the generated coloring book and sends it to the user's device.

[0598] 7. View and save your coloring book

[0599] The user's device displays the generated coloring book, which the user can download or print.

[0600] The above process allows for the rapid and accurate generation of a customized coloring book that reflects the user's individual preferences and interests.

[0601] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0602] Step 1: Displaying the User Interface (Terminal)

[0603] The terminal displays a user interface, which includes an input form that allows the user to input their character, theme, and color preferences. Specifically, the interface is designed using HTML, CSS, and JavaScript.

[0604] Input: None

[0605] Output: An interface that allows the user to enter input.

[0606] What it does: Loads an HTML file, styles it with CSS, and provides an interactive form with JavaScript.

[0607] Step 2: Accepting User Input (Terminal)

[0608] Users input their character "cat," theme "space," and color preference "blue and green." The device validates the input in real time to ensure accurate data.

[0609] Input: User-entered character, theme, and color preferences

[0610] Output: Validated input data

[0611] Specific behavior: Form validation using JavaScript, displaying error messages

[0612] Step 3: Sending input data (terminal -> server)

[0613] The terminal packages the data entered by the user in JSON format and sends it to the server via an HTTP POST request.

[0614] Input: Validated input data

[0615] Output: JSON data sent to the server

[0616] Specific behavior: Sends an HTTP POST request using the JavaScript Fetch API

[0617] Step 4: Data reception and analysis (server)

[0618] The server receives HTTP requests from devices and parses the JSON data to extract character, theme, and color preferences.

[0619] Input: JSON data sent from the terminal

[0620] Output: Extracted characters, themes, and color preferences

[0621] What it does: Parse JSON and extract data using Python and JavaScript

[0622] Step 5: Prompt Generation (Server)

[0623] The server generates prompts for the generative AI model based on the extracted data, such as "Character: cat," "Theme: space," and "Favorite colors: blue and green."

[0624] Input: Extracted characters, themes, and color preferences

[0625] Output: Generated prompt statement

[0626] Specific operation: Create a text format in Python and generate a prompt.

[0627] Step 6: Sending a request to the generative AI model (server)

[0628] The server sends the generated prompt to a generative AI model, such as "Stable Diffusion," and sends a request via an API.

[0629] Input: Generated prompt statement

[0630] Output: Sending a request to the generative AI model

[0631] Specific behavior: Sends an HTTP request to the API and provides a prompt.

[0632] Step 7: Coloring book generation (generative AI model)

[0633] The generative AI model generates customized coloring pages based on prompts, reflecting specified characters and themes and matching color preferences.

[0634] Input: prompt statement

[0635] Output: A customized coloring book

[0636] What it does: Generate high-resolution images using deep learning algorithms

[0637] Step 8: Sending the generated results (generated AI model -> server -> device)

[0638] The generative AI model returns the generated coloring book to the server, which converts the coloring book data into an appropriate file format (PDF, JPEG, PNG, etc.) and sends it to the user's device.

[0639] Input: Generated coloring book

[0640] Output: Coloring data sent to the user's device

[0641] Specific operation: Receives coloring data, converts the file format if necessary, and sends it to the device as an HTTP response.

[0642] Step 9: View and save your coloring book (device)

[0643] The terminal displays the transmitted coloring data to the user, who can then download or print the displayed coloring book.

[0644] Input: Submitted coloring data

[0645] Output: Coloring, download, and print options displayed to the user

[0646] Specific behavior: Display a coloring book using HTML Canvas and Image tags, and provide download and print buttons

[0647] This process allows for the creation and display of customized coloring pages based on the user's preferences and interests.

[0648] (Application example 1)

[0649] 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."

[0650] Conventional coloring book providing systems only generate customized coloring books according to the user's preferences and interests, but there is no way for the user to immediately receive the generated coloring book. This makes it difficult for users to easily and quickly enjoy customized coloring books in physical stores. In addition, separate printing equipment and operations are required to print the coloring book, which is inconvenient.

[0651] 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.

[0652] In this invention, the server includes means for receiving information such as character, theme, and color preferences based on the preferences and interests input by the user, means for providing the received information to a generative AI model and instructing it to generate a customized coloring book, means for transmitting the generated customized coloring book to the user's terminal, means for receiving data for generating a coloring book based on the specified character or theme and printing it on the spot, and means for displaying the generated coloring book on an interactive kiosk terminal, thereby enabling users to easily and quickly enjoy a customized coloring book tailored to their preferences in a physical store.

[0653] "User" refers to any individual or entity that wishes to use the System to generate a customized coloring book.

[0654] "Preferences and interests" refers to the individual preferences and interests of the user, and is a general term for information including character, theme, color selection, etc.

[0655] "Characters" refers to characters and animals that appear in illustrations, animations, etc.

[0656] "Theme" refers to the concept of the background, situation, scene, etc. used in the coloring book.

[0657] "Color preferences" refers to the user's selection of desired shades or color schemes to use in the coloring book.

[0658] A "generative AI model" refers to an artificial intelligence (AI) algorithm or neural network that automatically generates a customized coloring book based on information provided by the user.

[0659] "Terminal" refers to a device used by a user to operate the system, including smartphones, tablets, PCs, kiosk terminals, etc.

[0660] An "interactive kiosk terminal" refers to a publicly installed information terminal that can be operated by direct contact with a user and has a display that can provide instant output.

[0661] A "customized coloring book" refers to a coloring book with unique content that is automatically generated by a generative AI model based on the user's preferences and interests.

[0662] "Means for receiving data and printing on the spot" refers to a device or mechanism that has the function of receiving the generated customized coloring book data in real time and immediately physically printing it.

[0663] The present invention relates to a system for creating customized coloring books based on a user's preferences and interests and providing the coloring books at an interactive kiosk terminal installed in a brick-and-mortar store. Specific embodiments of the system are described in detail below.

[0664] System configuration

[0665] Accepting user input (touch screen)

[0666] Users first use a touchscreen kiosk in a brick-and-mortar store to input information about their preferences and interests, specifically selecting their character, theme, and color preferences. The interface is built using HTML, CSS, and JavaScript. For example, a user might input a "penguin" character, a "Antarctic" theme, and a "blue and white" color preference.

[0667] Data transmission (terminal -> server)

[0668] The entered data is packaged in JSON format and sent to the server via an HTTP request, which accurately conveys information about the user's preferences and interests to the server.

[0669] Request reception and analysis (server)

[0670] The server parses the received HTTP request and extracts data, specifically the character "Penguin," the theme "Antarctica," and the color preference "Blue and White." The server-side processing is implemented using Python and Flask.

[0671] Instructions for generating a coloring book (Server -> Generative AI model)

[0672] The server then provides the analyzed data to a generative AI model, which is built using machine learning frameworks such as TensorFlow and PyTorch, to generate a customized coloring book based on the data provided.

[0673] Coloring book generation process (generative AI model)

[0674] The generative AI model uses built-in algorithms to generate coloring images based on user-specified characters and themes, such as a customized coloring book featuring penguins against an Antarctic backdrop, with blue and white as the color palette.

[0675] Sending the generated results (generated AI model -> server -> device)

[0676] The coloring data returned by the generative AI model is sent back to the server and then sent to the kiosk terminal used by the user. The data is sent in PDF or a common image file format.

[0677] Display and print coloring pages (device)

[0678] The user's device displays the received coloring book data on the touch screen of the interactive kiosk terminal for the user to confirm, after which the terminal instantly prints the coloring book using the built-in high-speed printer.

[0679] Specific examples

[0680] For example, if the user selects "penguin," "antarctic," and "blue and white," this data is sent to the server and the generative AI model generates the following prompt:

[0681] Character: Penguin

[0682] Theme: Antarctica

[0683] Color preference: Blue and white

[0684] This generates a coloring book with a blue and white theme featuring a penguin standing against an Antarctic backdrop, and users can receive the printed coloring book on the spot.

[0685] This system allows users to easily and quickly enjoy customized coloring books tailored to their preferences in physical stores.

[0686] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0687] Step 1:

[0688] The terminal (a touchscreen installed on a kiosk) accepts input from the user about character, theme, color preferences, etc. The user enters information such as "penguin," "Antarctica," and "blue and white." This input data is packaged in JSON format.

[0689] Input: User-selected character, theme, and color preferences

[0690] Output: Input data in JSON format

[0691] Step 2:

[0692] The device sends the packaged JSON-formatted data to the server via an HTTP request, and the data is sent over the network.

[0693] Input: Input data in JSON format

[0694] Output: HTTP request sent to the server

[0695] Step 3:

[0696] The server analyzes the received HTTP request, parses the JSON data, extracts character, theme, and color preferences, and converts the analysis results into a format that can be passed to the generative AI model.

[0697] Input: HTTP request (JSON data)

[0698] Output: Parsed character, theme, and color preference data

[0699] Step 4:

[0700] The server then provides the parsed data to a generative AI model, which is built on machine learning frameworks such as TensorFlow and PyTorch, to generate a customized coloring book.

[0701] Input: Parsed character, theme, and color preference data

[0702] Output: Instructions for generating a coloring book to the generative AI model

[0703] Step 5:

[0704] A generative AI model generates customized coloring pages based on the data provided. It uses specific algorithms to create coloring images. For example, it might generate a coloring page featuring penguins standing against an Antarctic background in blue and white.

[0705] Input: Generation instruction data from the server

[0706] Output: Generated customized coloring book image

[0707] Step 6:

[0708] The generative AI model returns the generated coloring book to the server, which then repackages the coloring book data and sends it to the device. The data sent can be in PDF or a standard image file format.

[0709] Input: Generated customized coloring book image

[0710] Output: Send coloring book data (PDF or image file format)

[0711] Step 7:

[0712] The terminal displays the received customized coloring data and has an interface for the user to confirm. After the user confirms, the coloring book is printed on the spot using a high-speed printer.

[0713] Input: Received coloring data

[0714] Output: Coloring page display on the interface and printed coloring page

[0715] 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.

[0716] The present invention relates to a system that generates and provides customized coloring books based on a user's preferences and interests. Furthermore, the present invention enhances the user experience by incorporating an emotion engine that recognizes the user's emotions and suggests appropriate character, theme, and color preferences based on the emotions. The system includes a process that accepts user input and automatically creates a coloring book using a generative AI model based on the input.

[0717] System configuration

[0718] 1. User input reception (terminal)

[0719] The device provides a means for users to input information about their preferences and interests through a user interface. The interface is designed to allow users to input their preferred characters (e.g., "cat"), themes (e.g., "space"), and color preferences (e.g., "blue and green"). The emotion engine can also recognize emotions by analyzing the user's facial and voice data.

[0720] 2. Emotion Engine (Terminal)

[0721] The on-device emotion engine analyzes the user's facial expressions and voice data in real time to determine their emotions. Based on the recognized emotions, the system can suggest characters, themes, and color preferences that match the user's tastes.

[0722] 3. Data transmission (terminal -> server)

[0723] The device packages the data entered by the user and the data suggested by the emotion engine in JSON format and sends it to the server via an HTTP request.

[0724] 4. Request Reception and Analysis (Server)

[0725] The server receives the HTTP request from the device and analyzes the data contained therein, including character, theme, and color preferences, as well as information suggested by the emotion engine.

[0726] 5. Instructions for generating a coloring book (Server -> Generative AI model)

[0727] The server instructs the generative AI model to generate a coloring book based on the analyzed data. The generative AI model is programmed to automatically generate a new coloring book based on the specified characters and themes.

[0728] 6. Coloring book generation process (generative AI model)

[0729] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"), and also reflects the user's specified color preferences (e.g., "blue and green").

[0730] 7. Sending the generated results (generated AI model -> server -> device)

[0731] The generative AI model returns the generated coloring book data to the server, which then sends the data to the user's device in a common file format such as PDF or image file.

[0732] 8. Displaying coloring books (device)

[0733] The terminal displays the received coloring data to the user. The generated coloring book is shown to the user via the user interface. The user can then download or print the coloring book and enjoy coloring it.

[0734] Specific examples

[0735] As an example, consider the following steps:

[0736] 1. Input example:

[0737] Users input a character like "cat," a theme like "space," and a color preference of "blue and green." The emotion engine recognizes the user's smile and detects joy. Based on this, it makes suggestions like "bright background" or "starry sky."

[0738] 2. Data transmission:

[0739] The device packages the input data and the data suggested by the emotion engine in JSON format and sends it to the server via an HTTP request.

[0740] 3. Receiving and parsing the request:

[0741] The server receives the request and analyzes the data to extract the character "cat," the theme "space," and the color preference "blue and green." Additionally, the emotion engine's suggestion data is also analyzed.

[0742] 4. Instructions for creating a coloring book:

[0743] The server provides the analyzed data to a generative AI model, instructing it to generate a customized coloring book.

[0744] 5. Generation process:

[0745] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background, reflecting blue and green hues. Based on the emotion engine's suggestions, a starry sky is added to the background.

[0746] 6. Sending the generated results:

[0747] The server receives the generated coloring book and sends it to the user's device.

[0748] 7. Coloring book display:

[0749] The device displays the coloring book and presents it to the user via a user interface, who can then download, print, and enjoy the coloring book.

[0750] The system allows users to easily access customized coloring pages based on their preferences and current emotions, further enhancing creativity and enjoyment.

[0751] The processing flow will be explained below.

[0752] Step 1:

[0753] The device displays a user interface and provides a form for the user to enter their preferences for characters, themes, and colors. The user enters their preferences and interests in the form. The device validates the entered data and ensures that all required fields are entered. At this point, the device also obtains the user's facial expressions and voice data and provides it to the emotion engine.

[0754] Step 2:

[0755] The emotion engine on the device analyzes the user's facial expressions and voice data to recognize their emotions. For example, if the user is smiling, it is recognized as "joy," and if they are frowning, it is recognized as "surprise." The emotion engine then suggests the most suitable characters, themes, and color preferences based on the recognized emotions.

[0756] Step 3:

[0757] The device packages the data entered by the user and the data suggested by the emotion engine in JSON format. This JSON data includes character, theme, color preferences, and the emotion engine's suggestions. The device then sends this data to the server as an HTTP request.

[0758] Step 4:

[0759] The server receives HTTP requests from devices, analyzes the data, and extracts information about characters, themes, color preferences, and emotion engine suggestions. The extracted information is then formatted as input data for the generative AI model.

[0760] Step 5:

[0761] The server provides the analyzed data to the generative AI model, which is programmed to automatically generate a new coloring book based on the specified characters and theme.

[0762] Step 6:

[0763] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"). Based on suggestions from the emotion engine, additional elements such as a starry sky background are incorporated, and color preferences (e.g., "blue and green") are also applied.

[0764] Step 7:

[0765] The generative AI model returns the generated coloring data to the server, which then sends the received coloring data to the user's device. The file format sent is a common format such as PDF or image file.

[0766] Step 8:

[0767] The terminal displays the received coloring data on the user interface. The user can check the displayed customized coloring book and enjoy downloading or printing it. The user can unleash their creativity using the customized coloring book provided by the system.

[0768] Example 2

[0769] 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."

[0770] Conventional coloring book generation systems lack functionality to improve the user experience, and lack the ability to customize based on user preferences and interests. Furthermore, there are no systems that recognize users' emotions and make suggestions based on them. Therefore, it is difficult to provide users with customized coloring books that satisfy their needs.

[0771] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for receiving information such as character, theme, and color preferences based on preferences and interests input by the user, a means for providing the received information and the user's emotion recognition results to a generative AI model and instructing it to generate a customized coloring book, a means for transmitting the generated customized coloring book to the user's terminal, and a means for displaying the received coloring book data to the user and enabling download or printing. This enables the generation of a more personalized coloring book based on the user's input and emotions.

[0772] "User-entered preferences and interests" refers to information such as character, theme, and color preferences that a user enters through an interface.

[0773] "Emotion recognition result" is the result of analyzing the user's facial expressions and voice data in real time and determining the user's emotions.

[0774] A "generative AI model" is an artificial intelligence model that automatically generates coloring pages based on specified characters or themes.

[0775] A "customized coloring book" is a coloring book that is automatically created by a generative AI model based on user-entered preferences, interests, and emotions.

[0776] "Server" is a central processing unit that receives, analyzes, and provides user-entered data to the generative AI model.

[0777] A "user terminal" is an electronic device through which a user inputs information and receives and displays the generated customized coloring book.

[0778] A "user interface" is an operating screen that allows users to easily input information based on their preferences, interests, and emotions.

[0779] "Data transmission" is the process of sending information entered by the user and emotion recognition results from the terminal to the server.

[0780] "Data analysis" is the process by which the server reads the data it receives and extracts the necessary information.

[0781] "Downloading or printing" refers to the act of the user saving the generated coloring book from the terminal or printing it out on paper.

[0782] The present invention relates to a system that generates and provides customized coloring books based on a user's preferences and interests. Furthermore, the present invention enhances the user experience by incorporating an emotion engine that recognizes the user's emotions and suggests appropriate character, theme, and color preferences based on the emotions. The system includes a process that accepts user input and automatically creates a coloring book using a generative AI model based on the input.

[0783] Hardware and software used

[0784] 1. Terminal

[0785] A device for providing a user interface, including tablets and smartphones.

[0786] It is equipped with a camera and microphone to capture the user's facial expressions and voice.

[0787] Equipped with an emotion recognition engine, it analyzes the user's emotions in real time.

[0788] 2. Server

[0789] Receives and analyzes data sent from the terminal.

[0790] Sends data and instructions to the generative AI model.

[0791] The generated coloring data is sent to the user's terminal.

[0792] 3. Generative AI Models

[0793] An artificial intelligence model that automatically generates coloring pages based on specified characters and themes.

[0794] An example is a deep learning-based image generation model.

[0795] How it works

[0796] User input reception (terminal)

[0797] Users input their character (e.g., "cat"), theme (e.g., "space"), and color preferences (e.g., "blue and green") through the device's user interface. The device's built-in camera and microphone also capture facial expressions and voice, and this data is analyzed in real time by an emotion recognition engine. Based on the analyzed emotion data, the system makes suggestions that match the user's preferences.

[0798] Data transmission (terminal -> server)

[0799] The data entered by the user and the data analyzed by the emotion recognition engine are sent from the device to the server in JSON format using an HTTP request.

[0800] Request reception and analysis (server)

[0801] The server receives the HTTP request from the device and parses the data contained therein, including the user's input preferences for characters, themes, and colors, as well as additional information suggested by an emotion recognition engine.

[0802] Instructions for generating a coloring book (Server -> Generative AI model)

[0803] The server provides the analyzed data to the generative AI model and instructs it to generate a customized coloring book. Based on this data, the generative AI model generates a customized coloring book that reflects the specified characters and theme.

[0804] Sending the generated results (generated AI model -> server -> device)

[0805] The coloring book data generated by the generative AI model is sent back to the server, which then sends it to the user's device in a standard PDF or image file format.

[0806] Display coloring book (device)

[0807] The device displays the received coloring data to the user through a user interface, allowing the user to view the coloring page on the screen and download or print it.

[0808] Specific examples of operation

[0809] 1. Example user input:

[0810] Character: "Cat"

[0811] Theme: "Space"

[0812] Color preference: "Blue and green"

[0813] 2. Example prompt:

[0814] Character: Cat

[0815] Theme: Space

[0816] Color preference: Blue and green

[0817] Suggestions: bright background, starry sky

[0818] The system allows users to easily access customized coloring pages based on their preferences and current emotions, further enhancing creativity and enjoyment.

[0819] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0820] Step 1: Accepting user input (terminal)

[0821] The terminal provides a user interface for user input. The user uses this interface to input information such as a character (e.g., "cat"), a theme (e.g., "space"), and color preferences (e.g., "blue and green"). The terminal captures the input data and stores it internally.

[0822] input:

[0823] Information that users enter on the interface, such as character, theme, and color preferences.

[0824] output:

[0825] User input data stored on the device.

[0826] Specific behavior:

[0827] The user enters "cat," "space," and "blue and green" into the text fields and clicks the "Submit" button.

[0828] Step 2: Emotion Recognition (Device)

[0829] The device uses a built-in camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this data in real time and determines the user's emotion. For example, if the user is smiling, it is determined to be "happy."

[0830] input:

[0831] Facial and voice data of the user captured by a camera and microphone.

[0832] output:

[0833] User emotion data determined by the emotion engine.

[0834] Specific behavior:

[0835] The user smiles at the camera and speaks into the microphone, and the device collects this data and analyzes their emotions.

[0836] Step 3: Send data (device -> server)

[0837] The device packages the data entered by the user and the emotion recognition data in JSON format and sends it to the server as an HTTP request. When the request is sent, the message "Transmission has started" is displayed.

[0838] input:

[0839] User input data and emotion recognition data.

[0840] output:

[0841] The HTTP request sent to the server in JSON format.

[0842] Specific behavior:

[0843] When the "Send" button is clicked, the user's input data and emotion data are converted into JSON format and sent to the server as an HTTP request.

[0844] Step 4: Receiving and parsing the request (server)

[0845] The server receives the HTTP request from the device and parses the JSON data, which includes the character, theme, color preference, and emotion recognition results. The server extracts this information and processes it.

[0846] input:

[0847] JSON format data received from the terminal.

[0848] output:

[0849] Analyzed characters, themes, color preferences, and emotion recognition results.

[0850] Specific behavior:

[0851] The server receives the HTTP request, parses the JSON data, and stores the information in specific variables.

[0852] Step 5: Instructions for generating a coloring book (Server -> Generative AI model)

[0853] The server then instructs the AI ​​model to generate a coloring book based on the analyzed data. Specifically, it sends the prompt text "Character: cat, theme: space, color preference: blue and green, suggestions: bright background, starry sky" to the AI ​​model.

[0854] input:

[0855] Analyzed user character, theme, color preferences, and emotion recognition results.

[0856] output:

[0857] The prompt sent to the generative AI model.

[0858] Specific behavior:

[0859] The server generates a prompt sentence based on the analysis results and sends it to the generative AI model.

[0860] Step 6: Coloring book generation process (generative AI model)

[0861] The generative AI model generates a coloring book based on prompts received from the server, resulting in a customized coloring book that reflects the user's specified character ("cat"), theme ("space"), and color preferences ("blue and green").

[0862] input:

[0863] The prompt text sent by the server.

[0864] output:

[0865] Generated customized coloring data.

[0866] Specific behavior:

[0867] A generative AI model analyzes the prompt and generates a coloring book based on it.

[0868] Step 7: Sending the generated results (generated AI model -> server -> device)

[0869] The generative AI model returns the generated coloring data to the server, which then sends it to the user's device as a PDF or JPEG file.

[0870] input:

[0871] Generated coloring data returned from the generative AI model.

[0872] output:

[0873] Coloring book data sent to the user's device.

[0874] Specific behavior:

[0875] The server sends the coloring data received from the generated AI model to the terminal.

[0876] Step 8: View the coloring book (device)

[0877] The device displays the received coloring data on a user interface. The user can check the coloring page on the screen and save or print it by clicking the "Download" or "Print" button.

[0878] input:

[0879] Coloring book data sent from the server.

[0880] output:

[0881] The coloring data displayed to the user.

[0882] Specific behavior:

[0883] The device displays the coloring data, and the user clicks the "Download" or "Print" button to save or print it.

[0884] (Application example 2)

[0885] 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."

[0886] In conventional factory work environments, workers' motivation and stress management have not been adequately considered, resulting in issues such as reduced productivity and a worsening working environment. In particular, there are many cases where workers feel fatigued and mentally burdened due to monotony of work and long working hours. The present invention aims to solve these issues by generating entertainment content customized to the worker's emotions and preferences, thereby improving the working environment.

[0887] 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.

[0888] In this invention, the server includes: means for receiving information such as character, theme, and color preferences based on the preferences and interests input by the user; means for instructing a generative AI model to generate customized content using the received information and an emotion engine that recognizes and processes the user's emotions; and means for transmitting the generated customized content to a display device and audio device installed in the user's terminal or work environment. This makes it possible to provide visual and audio entertainment content that suits the worker's emotions and preferences, which is expected to have the effect of improving the work environment.

[0889] "User-input preferences and interests" refers to personal preference information such as characters, themes, and color preferences selected and input by the user.

[0890] A "character" is a fictional or real person, animal, or anthropomorphic being with a particular trait or characteristic.

[0891] A "theme" is a subject or context related to a particular situation, environment, concept, idea, or setting.

[0892] "Color preferences" are a user's preferences for particular colors or color combinations.

[0893] The "emotion engine" is a system that analyzes the user's facial expressions and voice data in real time to determine the user's emotions.

[0894] A "generative AI model" is an artificial intelligence algorithm that automatically generates content (such as coloring books, visual and auditory content) based on input data.

[0895] "Customized Content" means visual or auditory content that is individually tailored and generated based on a user's preferences and emotions.

[0896] A "terminal" is a device that allows a user to input information, check displayed content, and use it.

[0897] "Display and audio devices" are devices used to visually or audibly present the generated customized content to the user.

[0898] The system is designed to generate customized entertainment content based on factory workers' emotions and preferences to enhance their working environment.

[0899] 1. User input reception (terminal)

[0900] The terminal provides a way for workers to input information about their preferences and interests through a user interface built into the factory robot. Users input preferences for specific characters, themes, and colors into the interface. They can also input prompts such as "your favorite theme or character" and "facial expressions and words that express your mood."

[0901] 2. Emotion Engine (Terminal)

[0902] The emotion engine installed on the terminal analyzes the worker's facial expressions and voice in real time to determine their emotions, thereby recognizing their current emotional state (e.g., "fatigue").

[0903] 3. Data transmission (terminal -> server)

[0904] The device packages the preference data entered by the user and the emotion data recognized by the emotion engine into JSON format and sends it to the server via an HTTP request.

[0905] 4. Request Reception and Analysis (Server)

[0906] The server receives the HTTP request sent from the device and analyzes the data contained therein, including the character, theme, color preference, and current emotional state.

[0907] 5. Instructions for customized content generation (Server -> Generative AI model)

[0908] The server then uses the analyzed data to instruct the generative AI model to generate customized content, which then generates new visual and auditory content based on the specified characters and themes.

[0909] 6. Content generation process (generative AI model)

[0910] The generative AI model generates customized visual and auditory content based on the provided data, including user-specified characters, themes, and color palettes, and incorporates elements suggested by the emotion engine (e.g., relaxing background music and visuals).

[0911] 7. Sending the generated results (generated AI model -> server -> device)

[0912] The generative AI model sends the generated content back to the server, which then sends it to the factory robot's terminal.

[0913] 8. Content display and playback (device)

[0914] The terminal displays and plays the generated customized content to workers through the factory robot's display and speakers.

[0915] Hardware and software used

[0916] Emotion Engine: A system (EmotionEngine) that analyzes facial expressions and voice in real time and recognizes emotions.

[0917] Generative AI model: An algorithm (AIContentGenerator) that generates customized visual and auditory content based on input data.

[0918] Terminal: A part of a factory robot that includes a user interface, display, speaker, etc.

[0919] Server: Responsible for analyzing data and instructing the generative AI model.

[0920] Specific examples

[0921] For example, if a worker's preference is "cats," the theme is "relaxation," and the color preference is "blue" and "green," the emotion engine may recognize "fatigue." Based on this data, the generative AI model will generate a "cat" character, a "relaxation"-themed background in blue and green, and soothing music. This content is provided to the worker via the factory robot's terminal.

[0922] Prompt Sentence Examples

[0923] "Generate background and music that the user needs to relax. Character is cat, theme is relaxing, and color preference is blue and green."

[0924] In this way, content that matches the worker's emotions and preferences can be provided, which is expected to improve the work environment and work efficiency.

[0925] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0926] Step 1:

[0927] Accepts data based on user-entered preferences and interests.

[0928] Through the user interface on the terminal of the factory robot, the user inputs a specific character (e.g., "cat"), a theme (e.g., "relax"), color preferences (e.g., "blue" and "green"), etc. The input data is collected by the terminal.

[0929] Step 2:

[0930] The emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state.

[0931] The device's emotion engine recognizes the user's face and analyzes their voice in real time to determine their emotions. For example, it can recognize "fatigue" through facial expression analysis. The input data is the user's facial expression and voice data, and the output is their emotional state.

[0932] Step 3:

[0933] The input data and emotion data are sent to the server.

[0934] The device packages the preference data entered by the user and the emotion data recognized by the emotion engine in JSON format and sends it to the server via an HTTP request. The input is the packaged data, and the destination is the server.

[0935] Step 4:

[0936] The server parses the received data.

[0937] The server receives the HTTP request sent from the device and parses the data contained therein. The parsed data includes characters, themes, color preferences, and emotional states. The input is the packaged data, and the output is the parsed data.

[0938] Step 5:

[0939] The server instructs the generative AI model to generate content.

[0940] The server uses the analyzed data to instruct the generative AI model to generate customized content. The generative AI model receives prompts to generate content based on inputs such as character, theme, color, and emotional state. The input is the analyzed data, and the output is the data that instructs generation.

[0941] Step 6:

[0942] Generative AI models generate customized content.

[0943] A generative AI model generates customized visual and auditory content based on the provided data, including content reflecting user-specified characters (e.g., "cat"), themes (e.g., "relaxation"), and color tones (e.g., "blue and green"), as well as elements suggested by an emotion engine (e.g., relaxing music for users feeling "fatigued"). The input is instruction data, and the output is generated content.

[0944] Step 7:

[0945] The generated content is returned to the server and transmitted to the terminal.

[0946] The generative AI model returns the generated content to the server, which then sends it to the factory robot's terminal. The input is the generated content data, and the output is the data sent to the terminal.

[0947] Step 8:

[0948] The device displays and plays the generated content.

[0949] The terminal uses the factory robot's display and speaker to display and play content customized for the worker. The displayed content is visual and auditory entertainment for relaxation purposes, thereby reducing stress and increasing motivation for the worker. The input is the content data sent to the terminal, and the output is the content that is displayed and played.

[0950] 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.

[0951] 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.

[0952] 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.

[0953] [Third embodiment]

[0954] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0955] 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.

[0956] 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).

[0957] 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.

[0958] 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.

[0959] 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).

[0960] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0961] 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.

[0962] 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.

[0963] 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.

[0964] 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.

[0965] 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."

[0966] The present invention relates to a system for generating and delivering customized coloring books based on a user's preferences and interests. The system includes a process that accepts user input and automatically creates a coloring book based on that information using a generative AI model.

[0967] System configuration

[0968] 1. User input reception (terminal)

[0969] The device provides a means for users to input information about their preferences and interests through a user interface designed to allow users to input their preferred characters (e.g., "cats"), themes (e.g., "space"), and color preferences (e.g., "blue and green").

[0970] 2. Data transmission (terminal -> server)

[0971] The device sends the information entered by the user to the server via an HTTP request, with the data packaged in JSON format.

[0972] 3. Request reception and analysis (server)

[0973] The server receives the HTTP request from the device and parses the data contained therein, including character, theme, and color preferences.

[0974] 4. Instructions for generating a coloring book (Server -> Generative AI model)

[0975] The server instructs the generative AI model to generate a coloring book based on the analyzed data. The generative AI model is programmed to automatically generate a new coloring book based on the specified characters and themes.

[0976] 5. Coloring book generation process (generative AI model)

[0977] The generative AI model uses the received data to generate a coloring book, generating images based on the user-specified characters "cat" and "space" themes, as well as blue and green hues.

[0978] 6. Sending the generated results (generated AI model -> server -> device)

[0979] The generative AI model returns the created coloring book to the server, which then sends the coloring book data to the user's device in a common file format such as PDF or image file.

[0980] 7. Displaying coloring books (device)

[0981] The terminal displays the received coloring data to the user, who can then download or print the generated coloring book and enjoy coloring it.

[0982] Specific examples

[0983] As an example, consider the following steps:

[0984] 1. Input example:

[0985] The user inputs a character called "cat," a theme called "space," and color preferences of "blue and green."

[0986] 2. Data transmission:

[0987] The terminal packages the input data in JSON format and sends it to the server via an HTTP request.

[0988] 3. Receiving and parsing the request:

[0989] The server receives the request and analyzes the data to extract the character "cat," the theme "space," and the color preference "blue and green."

[0990] 4. Instructions for creating a coloring book:

[0991] The server provides the analyzed data to a generative AI model, instructing it to generate a customized coloring book.

[0992] 5. Generation process:

[0993] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background, reflecting shades of blue and green.

[0994] 6. Sending the generated results:

[0995] The server receives the generated coloring book and sends it to the user's device.

[0996] 7. Coloring book display:

[0997] The device displays the received coloring book, and the user can download and print it to enjoy coloring it.

[0998] This system allows users to easily obtain customized coloring books that suit their preferences, enhancing creativity and enjoyment.

[0999] The processing flow will be explained below.

[1000] Step 1:

[1001] The terminal displays a user interface and provides a form where the user can enter their character, theme, and color preferences. The user enters their preferences and interests in the form. The terminal validates the entered data to ensure that all required fields are filled in.

[1002] Step 2:

[1003] The device packages the data entered by the user in JSON format, including character, theme, and color preferences, and sends this data to the server as an HTTP request.

[1004] Step 3:

[1005] The server receives HTTP requests from devices, analyzes the data, and extracts information about character, theme, and color preferences, which are then used as inputs to a generative AI model.

[1006] Step 4:

[1007] The server provides the extracted data to the generative AI model, which is programmed to automatically generate a new coloring book based on the specified characters and theme.

[1008] Step 5:

[1009] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"), and also reflects the user's specified color preferences (e.g., "blue and green").

[1010] Step 6:

[1011] The generative AI model returns the generated coloring data to the server, which then sends the received coloring data to the user's device. The file format sent is a common format such as PDF or image file.

[1012] Step 7:

[1013] The terminal displays the received coloring data to the user. The generated coloring book is shown to the user via the user interface. The user can then download or print the coloring book and enjoy coloring it.

[1014] Through this step, users can easily get a customized coloring book based on their preferences.

[1015] Example 1

[1016] 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."

[1017] Conventional coloring book generation systems have difficulty quickly and accurately generating customized coloring books that reflect a user's individual preferences and interests. Furthermore, the quality and variety of the generated coloring books are limited, resulting in low user satisfaction.

[1018] 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.

[1019] In this invention, the server includes means for receiving data such as character, theme, and color preferences based on the preferences and interests input by the user, means for analyzing the received data and generating a prompt sentence, means for providing the generated prompt sentence to a generative AI model and instructing it to generate a customized coloring book, means for transmitting the generated customized coloring book to the user's terminal, and means for allowing the user to display, download, or print the generated coloring book through a user interface. This enables the generation of a variety of high-quality customized coloring books that reflect the individual preferences and interests of the user.

[1020] A "user interface" is an interface through which a user interacts with a computer system or application.

[1021] A "generative AI model" is a model that uses machine learning or deep learning algorithms to generate new data or content.

[1022] A "prompt sentence" is a text-based input sentence that provides instructions or conditions to a generative AI model.

[1023] A "coloring book" is an activity in which line drawings are filled in with color, or a book or image for that purpose.

[1024] "Characters" refer to specific people, animals, and other characters or creatures that are the subject of coloring books.

[1025] A "theme" is a specific situation or concept that serves as the background or primary setting for a coloring book.

[1026] "Color preferences" refers to the color combinations and colors that a user particularly likes.

[1027] "Data" refers to a collection of information based on user-entered preferences and interests.

[1028] A "server" is a computer system that processes requests from user terminals on a network and provides services.

[1029] A "terminal" is an electronic device such as a computer or smartphone that a user uses to connect to a server and use a service.

[1030] The present invention relates to a system for generating and delivering customized coloring books based on a user's preferences and interests. The system includes a process that accepts user input and automatically creates a coloring book based on that information using a generative AI model.

[1031] System configuration

[1032] The system consists of the following main components:

[1033] 1. User Interface (Terminal)

[1034] The device provides an interface for user interaction, for example, by generating an input form using HTML, CSS, and JavaScript through a web browser. The user can use this form to input a character (e.g., "cat"), a theme (e.g., "space"), and color preferences (e.g., "blue and green").

[1035] 2. Data transmission and reception (terminal -> server)

[1036] The device packages the information entered by the user in JSON format and sends it via an HTTP POST request to the server, which receives the data using a web framework such as Python's Flask or Node.js's Express.

[1037] 3. Data analysis and prompt generation (server)

[1038] The server analyzes the received data and extracts character, theme, and color preferences, which are then used to generate prompts for the generative AI model, which are designed to accurately reflect the user's preferences.

[1039] Example: "Character: Cat", "Theme: Space", "Favorite Colors: Blue and Green"

[1040] 4. Sending a request to the generative AI model (server)

[1041] The server sends a request containing a prompt to the generative AI model, such as "Stable Diffusion." The server issues a generation command by sending an HTTP request via the API.

[1042] 5. Coloring book generation (generative AI model)

[1043] The generative AI model uses the prompt text to generate a high-resolution, customized coloring book, accurately reflecting shades of blue and green, and featuring cat and space themes.

[1044] 6. Sending the generated results (generated AI model -> server -> device)

[1045] The generative AI model returns the generated coloring book to the server, which converts it into an appropriate file format (e.g., PDF, JPEG, PNG) and sends it to the user's device.

[1046] 7. Display and save coloring pages (device)

[1047] The device displays the sent coloring data to the user. The user can then enjoy the created coloring book by downloading or printing it. The device's UI provides download and print buttons.

[1048] Specific examples

[1049] Here is a concrete example of how the system works:

[1050] 1. User Input

[1051] The user enters the character "cat," the theme "space," and the color preference "blue and green" into the input form on the device.

[1052] 2. Data Transmission

[1053] The terminal packages the input data in JSON format and sends it to the server via an HTTP POST request.

[1054] 3. Data analysis and prompt generation

[1055] The server receives the JSON data, extracts the data for the character "cat," the theme "space," and the color preference "blue and green," and generates a prompt sentence that combines them.

[1056] 4. Sending a request to the generative AI model

[1057] The server provides prompts to the generative AI model, instructing it to generate high-quality customized coloring books.

[1058] 5. Coloring book generation

[1059] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background and including shades of blue and green.

[1060] 6. Sending the generated results

[1061] The server receives the generated coloring book and sends it to the user's device.

[1062] 7. View and save your coloring book

[1063] The user's device displays the generated coloring book, which the user can download or print.

[1064] The above process allows for the rapid and accurate generation of a customized coloring book that reflects the user's individual preferences and interests.

[1065] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1066] Step 1: Displaying the User Interface (Terminal)

[1067] The terminal displays a user interface, which includes an input form that allows the user to input their character, theme, and color preferences. Specifically, the interface is designed using HTML, CSS, and JavaScript.

[1068] Input: None

[1069] Output: An interface that allows the user to enter input.

[1070] What it does: Loads an HTML file, styles it with CSS, and provides an interactive form with JavaScript.

[1071] Step 2: Accepting User Input (Terminal)

[1072] Users input their character "cat," theme "space," and color preference "blue and green." The device validates the input in real time to ensure accurate data.

[1073] Input: User-entered character, theme, and color preferences

[1074] Output: Validated input data

[1075] Specific behavior: Form validation using JavaScript, displaying error messages

[1076] Step 3: Sending input data (terminal -> server)

[1077] The terminal packages the data entered by the user in JSON format and sends it to the server via an HTTP POST request.

[1078] Input: Validated input data

[1079] Output: JSON data sent to the server

[1080] Specific behavior: Sends an HTTP POST request using the JavaScript Fetch API

[1081] Step 4: Data reception and analysis (server)

[1082] The server receives HTTP requests from devices and parses the JSON data to extract character, theme, and color preferences.

[1083] Input: JSON data sent from the terminal

[1084] Output: Extracted characters, themes, and color preferences

[1085] What it does: Parse JSON and extract data using Python and JavaScript

[1086] Step 5: Prompt Generation (Server)

[1087] The server generates prompts for the generative AI model based on the extracted data, such as "Character: cat," "Theme: space," and "Favorite colors: blue and green."

[1088] Input: Extracted characters, themes, and color preferences

[1089] Output: Generated prompt statement

[1090] Specific operation: Create a text format in Python and generate a prompt.

[1091] Step 6: Sending a request to the generative AI model (server)

[1092] The server sends the generated prompt to a generative AI model, such as "Stable Diffusion," and sends a request via an API.

[1093] Input: Generated prompt statement

[1094] Output: Sending a request to the generative AI model

[1095] Specific behavior: Sends an HTTP request to the API and provides a prompt.

[1096] Step 7: Coloring book generation (generative AI model)

[1097] The generative AI model generates customized coloring pages based on prompts, reflecting specified characters and themes and matching color preferences.

[1098] Input: prompt statement

[1099] Output: A customized coloring book

[1100] What it does: Generate high-resolution images using deep learning algorithms

[1101] Step 8: Sending the generated results (generated AI model -> server -> device)

[1102] The generative AI model returns the generated coloring book to the server, which converts the coloring book data into an appropriate file format (PDF, JPEG, PNG, etc.) and sends it to the user's device.

[1103] Input: Generated coloring book

[1104] Output: Coloring data sent to the user's device

[1105] Specific operation: Receives coloring data, converts the file format if necessary, and sends it to the device as an HTTP response.

[1106] Step 9: View and save your coloring book (device)

[1107] The terminal displays the transmitted coloring data to the user, who can then download or print the displayed coloring book.

[1108] Input: Submitted coloring data

[1109] Output: Coloring, download, and print options displayed to the user

[1110] Specific behavior: Display a coloring book using HTML Canvas and Image tags, and provide download and print buttons

[1111] This process allows for the creation and display of customized coloring pages based on the user's preferences and interests.

[1112] (Application example 1)

[1113] 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."

[1114] Conventional coloring book providing systems only generate customized coloring books according to the user's preferences and interests, but there is no way for the user to immediately receive the generated coloring book. This makes it difficult for users to easily and quickly enjoy customized coloring books in physical stores. In addition, separate printing equipment and operations are required to print the coloring book, which is inconvenient.

[1115] 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.

[1116] In this invention, the server includes means for receiving information such as character, theme, and color preferences based on the preferences and interests input by the user, means for providing the received information to a generative AI model and instructing it to generate a customized coloring book, means for transmitting the generated customized coloring book to the user's terminal, means for receiving data for generating a coloring book based on the specified character or theme and printing it on the spot, and means for displaying the generated coloring book on an interactive kiosk terminal, thereby enabling users to easily and quickly enjoy a customized coloring book tailored to their preferences in a physical store.

[1117] "User" refers to any individual or entity that wishes to use the System to generate a customized coloring book.

[1118] "Preferences and interests" refers to the individual preferences and interests of the user, and is a general term for information including character, theme, color selection, etc.

[1119] "Characters" refers to characters and animals that appear in illustrations, animations, etc.

[1120] "Theme" refers to the concept of the background, situation, scene, etc. used in the coloring book.

[1121] "Color preferences" refers to the user's selection of desired shades or color schemes to use in the coloring book.

[1122] A "generative AI model" refers to an artificial intelligence (AI) algorithm or neural network that automatically generates a customized coloring book based on information provided by the user.

[1123] "Terminal" refers to a device used by a user to operate the system, including smartphones, tablets, PCs, kiosk terminals, etc.

[1124] An "interactive kiosk terminal" refers to a publicly installed information terminal that can be operated by direct contact with a user and has a display that can provide instant output.

[1125] A "customized coloring book" refers to a coloring book with unique content that is automatically generated by a generative AI model based on the user's preferences and interests.

[1126] "Means for receiving data and printing on the spot" refers to a device or mechanism that has the function of receiving the generated customized coloring book data in real time and immediately physically printing it.

[1127] The present invention relates to a system for creating customized coloring books based on a user's preferences and interests and providing the coloring books at an interactive kiosk terminal installed in a brick-and-mortar store. Specific embodiments of the system are described in detail below.

[1128] System configuration

[1129] Accepting user input (touch screen)

[1130] Users first use a touchscreen kiosk in a brick-and-mortar store to input information about their preferences and interests, specifically selecting their character, theme, and color preferences. The interface is built using HTML, CSS, and JavaScript. For example, a user might input a "penguin" character, a "Antarctic" theme, and a "blue and white" color preference.

[1131] Data transmission (terminal -> server)

[1132] The entered data is packaged in JSON format and sent to the server via an HTTP request, which accurately conveys information about the user's preferences and interests to the server.

[1133] Request reception and analysis (server)

[1134] The server parses the received HTTP request and extracts data, specifically the character "Penguin," the theme "Antarctica," and the color preference "Blue and White." The server-side processing is implemented using Python and Flask.

[1135] Instructions for generating a coloring book (Server -> Generative AI model)

[1136] The server then provides the analyzed data to a generative AI model, which is built using machine learning frameworks such as TensorFlow and PyTorch, to generate a customized coloring book based on the data provided.

[1137] Coloring book generation process (generative AI model)

[1138] The generative AI model uses built-in algorithms to generate coloring images based on user-specified characters and themes, such as a customized coloring book featuring penguins against an Antarctic backdrop, with blue and white as the color palette.

[1139] Sending the generated results (generated AI model -> server -> device)

[1140] The coloring data returned by the generative AI model is sent back to the server and then sent to the kiosk terminal used by the user. The data is sent in PDF or a common image file format.

[1141] Display and print coloring pages (device)

[1142] The user's device displays the received coloring book data on the touch screen of the interactive kiosk terminal for the user to confirm, after which the terminal instantly prints the coloring book using the built-in high-speed printer.

[1143] Specific examples

[1144] For example, if the user selects "penguin," "antarctic," and "blue and white," this data is sent to the server and the generative AI model generates the following prompt:

[1145] Character: Penguin

[1146] Theme: Antarctica

[1147] Color preference: Blue and white

[1148] This generates a coloring book with a blue and white theme featuring a penguin standing against an Antarctic backdrop, and users can receive the printed coloring book on the spot.

[1149] This system allows users to easily and quickly enjoy customized coloring books tailored to their preferences in physical stores.

[1150] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1151] Step 1:

[1152] The terminal (a touchscreen installed on a kiosk) accepts input from the user about character, theme, color preferences, etc. The user enters information such as "penguin," "Antarctica," and "blue and white." This input data is packaged in JSON format.

[1153] Input: User-selected character, theme, and color preferences

[1154] Output: Input data in JSON format

[1155] Step 2:

[1156] The device sends the packaged JSON-formatted data to the server via an HTTP request, and the data is sent over the network.

[1157] Input: Input data in JSON format

[1158] Output: HTTP request sent to the server

[1159] Step 3:

[1160] The server analyzes the received HTTP request, parses the JSON data, extracts character, theme, and color preferences, and converts the analysis results into a format that can be passed to the generative AI model.

[1161] Input: HTTP request (JSON data)

[1162] Output: Parsed character, theme, and color preference data

[1163] Step 4:

[1164] The server then provides the parsed data to a generative AI model, which is built on machine learning frameworks such as TensorFlow and PyTorch, to generate a customized coloring book.

[1165] Input: Parsed character, theme, and color preference data

[1166] Output: Instructions for generating a coloring book to the generative AI model

[1167] Step 5:

[1168] A generative AI model generates customized coloring pages based on the data provided. It uses specific algorithms to create coloring images. For example, it might generate a coloring page featuring penguins standing against an Antarctic background in blue and white.

[1169] Input: Generation instruction data from the server

[1170] Output: Generated customized coloring book image

[1171] Step 6:

[1172] The generative AI model returns the generated coloring book to the server, which then repackages the coloring book data and sends it to the device. The data sent can be in PDF or a standard image file format.

[1173] Input: Generated customized coloring book image

[1174] Output: Send coloring book data (PDF or image file format)

[1175] Step 7:

[1176] The terminal displays the received customized coloring data and has an interface for the user to confirm. After the user confirms, the coloring book is printed on the spot using a high-speed printer.

[1177] Input: Received coloring data

[1178] Output: Coloring page display on the interface and printed coloring page

[1179] 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.

[1180] The present invention relates to a system that generates and provides customized coloring books based on a user's preferences and interests. Furthermore, the present invention enhances the user experience by incorporating an emotion engine that recognizes the user's emotions and suggests appropriate character, theme, and color preferences based on the emotions. The system includes a process that accepts user input and automatically creates a coloring book using a generative AI model based on the input.

[1181] System configuration

[1182] 1. User input reception (terminal)

[1183] The device provides a means for users to input information about their preferences and interests through a user interface. The interface is designed to allow users to input their preferred characters (e.g., "cat"), themes (e.g., "space"), and color preferences (e.g., "blue and green"). The emotion engine can also recognize emotions by analyzing the user's facial and voice data.

[1184] 2. Emotion Engine (Terminal)

[1185] The on-device emotion engine analyzes the user's facial expressions and voice data in real time to determine their emotions. Based on the recognized emotions, the system can suggest characters, themes, and color preferences that match the user's tastes.

[1186] 3. Data transmission (terminal -> server)

[1187] The device packages the data entered by the user and the data suggested by the emotion engine in JSON format and sends it to the server via an HTTP request.

[1188] 4. Request Reception and Analysis (Server)

[1189] The server receives the HTTP request from the device and analyzes the data contained therein, including character, theme, and color preferences, as well as information suggested by the emotion engine.

[1190] 5. Instructions for generating a coloring book (Server -> Generative AI model)

[1191] The server instructs the generative AI model to generate a coloring book based on the analyzed data. The generative AI model is programmed to automatically generate a new coloring book based on the specified characters and themes.

[1192] 6. Coloring book generation process (generative AI model)

[1193] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"), and also reflects the user's specified color preferences (e.g., "blue and green").

[1194] 7. Sending the generated results (generated AI model -> server -> device)

[1195] The generative AI model returns the generated coloring book data to the server, which then sends the data to the user's device in a common file format such as PDF or image file.

[1196] 8. Displaying coloring books (device)

[1197] The terminal displays the received coloring data to the user. The generated coloring book is shown to the user via the user interface. The user can then download or print the coloring book and enjoy coloring it.

[1198] Specific examples

[1199] As an example, consider the following steps:

[1200] 1. Input example:

[1201] Users input a character like "cat," a theme like "space," and a color preference of "blue and green." The emotion engine recognizes the user's smile and detects joy. Based on this, it makes suggestions like "bright background" or "starry sky."

[1202] 2. Data transmission:

[1203] The device packages the input data and the data suggested by the emotion engine in JSON format and sends it to the server via an HTTP request.

[1204] 3. Receiving and parsing the request:

[1205] The server receives the request and analyzes the data to extract the character "cat," the theme "space," and the color preference "blue and green." Additionally, the emotion engine's suggestion data is also analyzed.

[1206] 4. Instructions for creating a coloring book:

[1207] The server provides the analyzed data to a generative AI model, instructing it to generate a customized coloring book.

[1208] 5. Generation process:

[1209] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background, reflecting blue and green hues. Based on the emotion engine's suggestions, a starry sky is added to the background.

[1210] 6. Sending the generated results:

[1211] The server receives the generated coloring book and sends it to the user's device.

[1212] 7. Coloring book display:

[1213] The device displays the coloring book and presents it to the user via a user interface, who can then download, print, and enjoy the coloring book.

[1214] The system allows users to easily access customized coloring pages based on their preferences and current emotions, further enhancing creativity and enjoyment.

[1215] The processing flow will be explained below.

[1216] Step 1:

[1217] The device displays a user interface and provides a form for the user to enter their preferences for characters, themes, and colors. The user enters their preferences and interests in the form. The device validates the entered data and ensures that all required fields are entered. At this point, the device also obtains the user's facial expressions and voice data and provides it to the emotion engine.

[1218] Step 2:

[1219] The emotion engine on the device analyzes the user's facial expressions and voice data to recognize their emotions. For example, if the user is smiling, it is recognized as "joy," and if they are frowning, it is recognized as "surprise." The emotion engine then suggests the most suitable characters, themes, and color preferences based on the recognized emotions.

[1220] Step 3:

[1221] The device packages the data entered by the user and the data suggested by the emotion engine in JSON format. This JSON data includes character, theme, color preferences, and the emotion engine's suggestions. The device then sends this data to the server as an HTTP request.

[1222] Step 4:

[1223] The server receives HTTP requests from devices, analyzes the data, and extracts information about characters, themes, color preferences, and emotion engine suggestions. The extracted information is then formatted as input data for the generative AI model.

[1224] Step 5:

[1225] The server provides the analyzed data to the generative AI model, which is programmed to automatically generate a new coloring book based on the specified characters and theme.

[1226] Step 6:

[1227] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"). Based on suggestions from the emotion engine, additional elements such as a starry sky background are incorporated, and color preferences (e.g., "blue and green") are also applied.

[1228] Step 7:

[1229] The generative AI model returns the generated coloring data to the server, which then sends the received coloring data to the user's device. The file format sent is a common format such as PDF or image file.

[1230] Step 8:

[1231] The terminal displays the received coloring data on the user interface. The user can check the displayed customized coloring book and enjoy downloading or printing it. The user can unleash their creativity using the customized coloring book provided by the system.

[1232] Example 2

[1233] 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."

[1234] Conventional coloring book generation systems lack functionality to improve the user experience, and lack the ability to customize based on user preferences and interests. Furthermore, there are no systems that recognize users' emotions and make suggestions based on them. Therefore, it is difficult to provide users with customized coloring books that satisfy their needs.

[1235] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for receiving information such as character, theme, and color preferences based on preferences and interests input by the user, a means for providing the received information and the user's emotion recognition results to a generative AI model and instructing it to generate a customized coloring book, a means for transmitting the generated customized coloring book to the user's terminal, and a means for displaying the received coloring book data to the user and enabling download or printing. This enables the generation of a more personalized coloring book based on the user's input and emotions.

[1236] "User-entered preferences and interests" refers to information such as character, theme, and color preferences that a user enters through an interface.

[1237] "Emotion recognition result" is the result of analyzing the user's facial expressions and voice data in real time and determining the user's emotions.

[1238] A "generative AI model" is an artificial intelligence model that automatically generates coloring pages based on specified characters or themes.

[1239] A "customized coloring book" is a coloring book that is automatically created by a generative AI model based on user-entered preferences, interests, and emotions.

[1240] "Server" is a central processing unit that receives, analyzes, and provides user-entered data to the generative AI model.

[1241] A "user terminal" is an electronic device through which a user inputs information and receives and displays the generated customized coloring book.

[1242] A "user interface" is an operating screen that allows users to easily input information based on their preferences, interests, and emotions.

[1243] "Data transmission" is the process of sending information entered by the user and emotion recognition results from the terminal to the server.

[1244] "Data analysis" is the process by which the server reads the data it receives and extracts the necessary information.

[1245] "Downloading or printing" refers to the act of the user saving the generated coloring book from the terminal or printing it out on paper.

[1246] The present invention relates to a system that generates and provides customized coloring books based on a user's preferences and interests. Furthermore, the present invention enhances the user experience by incorporating an emotion engine that recognizes the user's emotions and suggests appropriate character, theme, and color preferences based on the emotions. The system includes a process that accepts user input and automatically creates a coloring book using a generative AI model based on the input.

[1247] Hardware and software used

[1248] 1. Terminal

[1249] A device for providing a user interface, including tablets and smartphones.

[1250] It is equipped with a camera and microphone to capture the user's facial expressions and voice.

[1251] Equipped with an emotion recognition engine, it analyzes the user's emotions in real time.

[1252] 2. Server

[1253] Receives and analyzes data sent from the terminal.

[1254] Sends data and instructions to the generative AI model.

[1255] The generated coloring data is sent to the user's terminal.

[1256] 3. Generative AI Models

[1257] An artificial intelligence model that automatically generates coloring pages based on specified characters and themes.

[1258] An example is a deep learning-based image generation model.

[1259] How it works

[1260] User input reception (terminal)

[1261] Users input their character (e.g., "cat"), theme (e.g., "space"), and color preferences (e.g., "blue and green") through the device's user interface. The device's built-in camera and microphone also capture facial expressions and voice, and this data is analyzed in real time by an emotion recognition engine. Based on the analyzed emotion data, the system makes suggestions that match the user's preferences.

[1262] Data transmission (terminal -> server)

[1263] The data entered by the user and the data analyzed by the emotion recognition engine are sent from the device to the server in JSON format using an HTTP request.

[1264] Request reception and analysis (server)

[1265] The server receives the HTTP request from the device and parses the data contained therein, including the user's input preferences for characters, themes, and colors, as well as additional information suggested by an emotion recognition engine.

[1266] Instructions for generating a coloring book (Server -> Generative AI model)

[1267] The server provides the analyzed data to the generative AI model and instructs it to generate a customized coloring book. Based on this data, the generative AI model generates a customized coloring book that reflects the specified characters and theme.

[1268] Sending the generated results (generated AI model -> server -> device)

[1269] The coloring book data generated by the generative AI model is sent back to the server, which then sends it to the user's device in a standard PDF or image file format.

[1270] Display coloring book (device)

[1271] The device displays the received coloring data to the user through a user interface, allowing the user to view the coloring page on the screen and download or print it.

[1272] Specific examples of operation

[1273] 1. Example user input:

[1274] Character: "Cat"

[1275] Theme: "Space"

[1276] Color preference: "Blue and green"

[1277] 2. Example prompt:

[1278] Character: Cat

[1279] Theme: Space

[1280] Color preference: Blue and green

[1281] Suggestions: bright background, starry sky

[1282] The system allows users to easily access customized coloring pages based on their preferences and current emotions, further enhancing creativity and enjoyment.

[1283] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1284] Step 1: Accepting user input (terminal)

[1285] The terminal provides a user interface for user input. The user uses this interface to input information such as a character (e.g., "cat"), a theme (e.g., "space"), and color preferences (e.g., "blue and green"). The terminal captures the input data and stores it internally.

[1286] input:

[1287] Information that users enter on the interface, such as character, theme, and color preferences.

[1288] output:

[1289] User input data stored on the device.

[1290] Specific behavior:

[1291] The user enters "cat," "space," and "blue and green" into the text fields and clicks the "Submit" button.

[1292] Step 2: Emotion Recognition (Device)

[1293] The device uses a built-in camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this data in real time and determines the user's emotion. For example, if the user is smiling, it is determined to be "happy."

[1294] input:

[1295] Facial and voice data of the user captured by a camera and microphone.

[1296] output:

[1297] User emotion data determined by the emotion engine.

[1298] Specific behavior:

[1299] The user smiles at the camera and speaks into the microphone, and the device collects this data and analyzes their emotions.

[1300] Step 3: Send data (device -> server)

[1301] The device packages the data entered by the user and the emotion recognition data in JSON format and sends it to the server as an HTTP request. When the request is sent, the message "Transmission has started" is displayed.

[1302] input:

[1303] User input data and emotion recognition data.

[1304] output:

[1305] The HTTP request sent to the server in JSON format.

[1306] Specific behavior:

[1307] When the "Send" button is clicked, the user's input data and emotion data are converted into JSON format and sent to the server as an HTTP request.

[1308] Step 4: Receiving and parsing the request (server)

[1309] The server receives the HTTP request from the device and parses the JSON data, which includes the character, theme, color preference, and emotion recognition results. The server extracts this information and processes it.

[1310] input:

[1311] JSON format data received from the terminal.

[1312] output:

[1313] Analyzed characters, themes, color preferences, and emotion recognition results.

[1314] Specific behavior:

[1315] The server receives the HTTP request, parses the JSON data, and stores the information in specific variables.

[1316] Step 5: Instructions for generating a coloring book (Server -> Generative AI model)

[1317] The server then instructs the AI ​​model to generate a coloring book based on the analyzed data. Specifically, it sends the prompt text "Character: cat, theme: space, color preference: blue and green, suggestions: bright background, starry sky" to the AI ​​model.

[1318] input:

[1319] Analyzed user character, theme, color preferences, and emotion recognition results.

[1320] output:

[1321] The prompt sent to the generative AI model.

[1322] Specific behavior:

[1323] The server generates a prompt sentence based on the analysis results and sends it to the generative AI model.

[1324] Step 6: Coloring book generation process (generative AI model)

[1325] The generative AI model generates a coloring book based on prompts received from the server, resulting in a customized coloring book that reflects the user's specified character ("cat"), theme ("space"), and color preferences ("blue and green").

[1326] input:

[1327] The prompt text sent by the server.

[1328] output:

[1329] Generated customized coloring data.

[1330] Specific behavior:

[1331] A generative AI model analyzes the prompt and generates a coloring book based on it.

[1332] Step 7: Sending the generated results (generated AI model -> server -> device)

[1333] The generative AI model returns the generated coloring data to the server, which then sends it to the user's device as a PDF or JPEG file.

[1334] input:

[1335] Generated coloring data returned from the generative AI model.

[1336] output:

[1337] Coloring book data sent to the user's device.

[1338] Specific behavior:

[1339] The server sends the coloring data received from the generated AI model to the terminal.

[1340] Step 8: View the coloring book (device)

[1341] The device displays the received coloring data on a user interface. The user can check the coloring page on the screen and save or print it by clicking the "Download" or "Print" button.

[1342] input:

[1343] Coloring book data sent from the server.

[1344] output:

[1345] The coloring data displayed to the user.

[1346] Specific behavior:

[1347] The device displays the coloring data, and the user clicks the "Download" or "Print" button to save or print it.

[1348] (Application example 2)

[1349] 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."

[1350] In conventional factory work environments, workers' motivation and stress management have not been adequately considered, resulting in issues such as reduced productivity and a worsening working environment. In particular, there are many cases where workers feel fatigued and mentally burdened due to monotony of work and long working hours. The present invention aims to solve these issues by generating entertainment content customized to the worker's emotions and preferences, thereby improving the working environment.

[1351] 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.

[1352] In this invention, the server includes: means for receiving information such as character, theme, and color preferences based on the preferences and interests input by the user; means for instructing a generative AI model to generate customized content using the received information and an emotion engine that recognizes and processes the user's emotions; and means for transmitting the generated customized content to a display device and audio device installed in the user's terminal or work environment. This makes it possible to provide visual and audio entertainment content that suits the worker's emotions and preferences, which is expected to have the effect of improving the work environment.

[1353] "User-input preferences and interests" refers to personal preference information such as characters, themes, and color preferences selected and input by the user.

[1354] A "character" is a fictional or real person, animal, or anthropomorphic being with a particular trait or characteristic.

[1355] A "theme" is a subject or context related to a particular situation, environment, concept, idea, or setting.

[1356] "Color preferences" are a user's preferences for particular colors or color combinations.

[1357] The "emotion engine" is a system that analyzes the user's facial expressions and voice data in real time to determine the user's emotions.

[1358] A "generative AI model" is an artificial intelligence algorithm that automatically generates content (such as coloring books, visual and auditory content) based on input data.

[1359] "Customized Content" means visual or auditory content that is individually tailored and generated based on a user's preferences and emotions.

[1360] A "terminal" is a device that allows a user to input information, check displayed content, and use it.

[1361] "Display and audio devices" are devices used to visually or audibly present the generated customized content to the user.

[1362] The system is designed to generate customized entertainment content based on factory workers' emotions and preferences to enhance their working environment.

[1363] 1. User input reception (terminal)

[1364] The terminal provides a way for workers to input information about their preferences and interests through a user interface built into the factory robot. Users input preferences for specific characters, themes, and colors into the interface. They can also input prompts such as "your favorite theme or character" and "facial expressions and words that express your mood."

[1365] 2. Emotion Engine (Terminal)

[1366] The emotion engine installed on the terminal analyzes the worker's facial expressions and voice in real time to determine their emotions, thereby recognizing their current emotional state (e.g., "fatigue").

[1367] 3. Data transmission (terminal -> server)

[1368] The device packages the preference data entered by the user and the emotion data recognized by the emotion engine into JSON format and sends it to the server via an HTTP request.

[1369] 4. Request Reception and Analysis (Server)

[1370] The server receives the HTTP request sent from the device and analyzes the data contained therein, including the character, theme, color preference, and current emotional state.

[1371] 5. Instructions for customized content generation (Server -> Generative AI model)

[1372] The server then uses the analyzed data to instruct the generative AI model to generate customized content, which then generates new visual and auditory content based on the specified characters and themes.

[1373] 6. Content generation process (generative AI model)

[1374] The generative AI model generates customized visual and auditory content based on the provided data, including user-specified characters, themes, and color palettes, and incorporates elements suggested by the emotion engine (e.g., relaxing background music and visuals).

[1375] 7. Sending the generated results (generated AI model -> server -> device)

[1376] The generative AI model sends the generated content back to the server, which then sends it to the factory robot's terminal.

[1377] 8. Content display and playback (device)

[1378] The terminal displays and plays the generated customized content to workers through the factory robot's display and speakers.

[1379] Hardware and software used

[1380] Emotion Engine: A system (EmotionEngine) that analyzes facial expressions and voice in real time and recognizes emotions.

[1381] Generative AI model: An algorithm (AIContentGenerator) that generates customized visual and auditory content based on input data.

[1382] Terminal: A part of a factory robot that includes a user interface, display, speaker, etc.

[1383] Server: Responsible for analyzing data and instructing the generative AI model.

[1384] Specific examples

[1385] For example, if a worker's preference is "cats," the theme is "relaxation," and the color preference is "blue" and "green," the emotion engine may recognize "fatigue." Based on this data, the generative AI model will generate a "cat" character, a "relaxation"-themed background in blue and green, and soothing music. This content is provided to the worker via the factory robot's terminal.

[1386] Prompt Sentence Examples

[1387] "Generate background and music that the user needs to relax. Character is cat, theme is relaxing, and color preference is blue and green."

[1388] In this way, content that matches the worker's emotions and preferences can be provided, which is expected to improve the work environment and work efficiency.

[1389] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1390] Step 1:

[1391] Accepts data based on user-entered preferences and interests.

[1392] Through the user interface on the terminal of the factory robot, the user inputs a specific character (e.g., "cat"), a theme (e.g., "relax"), color preferences (e.g., "blue" and "green"), etc. The input data is collected by the terminal.

[1393] Step 2:

[1394] The emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state.

[1395] The device's emotion engine recognizes the user's face and analyzes their voice in real time to determine their emotions. For example, it can recognize "fatigue" through facial expression analysis. The input data is the user's facial expression and voice data, and the output is their emotional state.

[1396] Step 3:

[1397] The input data and emotion data are sent to the server.

[1398] The device packages the preference data entered by the user and the emotion data recognized by the emotion engine in JSON format and sends it to the server via an HTTP request. The input is the packaged data, and the destination is the server.

[1399] Step 4:

[1400] The server parses the received data.

[1401] The server receives the HTTP request sent from the device and parses the data contained therein. The parsed data includes characters, themes, color preferences, and emotional states. The input is the packaged data, and the output is the parsed data.

[1402] Step 5:

[1403] The server instructs the generative AI model to generate content.

[1404] The server uses the analyzed data to instruct the generative AI model to generate customized content. The generative AI model receives prompts to generate content based on inputs such as character, theme, color, and emotional state. The input is the analyzed data, and the output is the data that instructs generation.

[1405] Step 6:

[1406] Generative AI models generate customized content.

[1407] A generative AI model generates customized visual and auditory content based on the provided data, including content reflecting user-specified characters (e.g., "cat"), themes (e.g., "relaxation"), and color tones (e.g., "blue and green"), as well as elements suggested by an emotion engine (e.g., relaxing music for users feeling "fatigued"). The input is instruction data, and the output is generated content.

[1408] Step 7:

[1409] The generated content is returned to the server and transmitted to the terminal.

[1410] The generative AI model returns the generated content to the server, which then sends it to the factory robot's terminal. The input is the generated content data, and the output is the data sent to the terminal.

[1411] Step 8:

[1412] The device displays and plays the generated content.

[1413] The terminal uses the factory robot's display and speaker to display and play content customized for the worker. The displayed content is visual and auditory entertainment for relaxation purposes, thereby reducing stress and increasing motivation for the worker. The input is the content data sent to the terminal, and the output is the content that is displayed and played.

[1414] 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.

[1415] 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.

[1416] 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.

[1417] [Fourth embodiment]

[1418] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1419] 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.

[1420] 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).

[1421] 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.

[1422] 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.

[1423] 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).

[1424] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1425] 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.

[1426] 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.

[1427] 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.

[1428] 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.

[1429] 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.

[1430] 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."

[1431] The present invention relates to a system for generating and delivering customized coloring books based on a user's preferences and interests. The system includes a process that accepts user input and automatically creates a coloring book based on that information using a generative AI model.

[1432] System configuration

[1433] 1. User input reception (terminal)

[1434] The device provides a means for users to input information about their preferences and interests through a user interface designed to allow users to input their preferred characters (e.g., "cats"), themes (e.g., "space"), and color preferences (e.g., "blue and green").

[1435] 2. Data transmission (terminal -> server)

[1436] The device sends the information entered by the user to the server via an HTTP request, with the data packaged in JSON format.

[1437] 3. Request reception and analysis (server)

[1438] The server receives the HTTP request from the device and parses the data contained therein, including character, theme, and color preferences.

[1439] 4. Instructions for generating a coloring book (Server -> Generative AI model)

[1440] The server instructs the generative AI model to generate a coloring book based on the analyzed data. The generative AI model is programmed to automatically generate a new coloring book based on the specified characters and themes.

[1441] 5. Coloring book generation process (generative AI model)

[1442] The generative AI model uses the received data to generate a coloring book, generating images based on the user-specified characters "cat" and "space" themes, as well as blue and green hues.

[1443] 6. Sending the generated results (generated AI model -> server -> device)

[1444] The generative AI model returns the created coloring book to the server, which then sends the coloring book data to the user's device in a common file format such as PDF or image file.

[1445] 7. Displaying coloring books (device)

[1446] The terminal displays the received coloring data to the user, who can then download or print the generated coloring book and enjoy coloring it.

[1447] Specific examples

[1448] As an example, consider the following steps:

[1449] 1. Input example:

[1450] The user inputs a character called "cat," a theme called "space," and color preferences of "blue and green."

[1451] 2. Data transmission:

[1452] The terminal packages the input data in JSON format and sends it to the server via an HTTP request.

[1453] 3. Receiving and parsing the request:

[1454] The server receives the request and analyzes the data to extract the character "cat," the theme "space," and the color preference "blue and green."

[1455] 4. Instructions for creating a coloring book:

[1456] The server provides the analyzed data to a generative AI model, instructing it to generate a customized coloring book.

[1457] 5. Generation process:

[1458] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background, reflecting shades of blue and green.

[1459] 6. Sending the generated results:

[1460] The server receives the generated coloring book and sends it to the user's device.

[1461] 7. Coloring book display:

[1462] The device displays the received coloring book, and the user can download and print it to enjoy coloring it.

[1463] This system allows users to easily obtain customized coloring books that suit their preferences, enhancing creativity and enjoyment.

[1464] The processing flow will be explained below.

[1465] Step 1:

[1466] The terminal displays a user interface and provides a form where the user can enter their character, theme, and color preferences. The user enters their preferences and interests in the form. The terminal validates the entered data to ensure that all required fields are filled in.

[1467] Step 2:

[1468] The device packages the data entered by the user in JSON format, including character, theme, and color preferences, and sends this data to the server as an HTTP request.

[1469] Step 3:

[1470] The server receives HTTP requests from devices, analyzes the data, and extracts information about character, theme, and color preferences, which are then used as inputs to a generative AI model.

[1471] Step 4:

[1472] The server provides the extracted data to the generative AI model, which is programmed to automatically generate a new coloring book based on the specified characters and theme.

[1473] Step 5:

[1474] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"), and also reflects the user's specified color preferences (e.g., "blue and green").

[1475] Step 6:

[1476] The generative AI model returns the generated coloring data to the server, which then sends the received coloring data to the user's device. The file format sent is a common format such as PDF or image file.

[1477] Step 7:

[1478] The terminal displays the received coloring data to the user. The generated coloring book is shown to the user via the user interface. The user can then download or print the coloring book and enjoy coloring it.

[1479] Through this step, users can easily get a customized coloring book based on their preferences.

[1480] Example 1

[1481] 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."

[1482] Conventional coloring book generation systems have difficulty quickly and accurately generating customized coloring books that reflect a user's individual preferences and interests. Furthermore, the quality and variety of the generated coloring books are limited, resulting in low user satisfaction.

[1483] 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.

[1484] In this invention, the server includes means for receiving data such as character, theme, and color preferences based on the preferences and interests input by the user, means for analyzing the received data and generating a prompt sentence, means for providing the generated prompt sentence to a generative AI model and instructing it to generate a customized coloring book, means for transmitting the generated customized coloring book to the user's terminal, and means for allowing the user to display, download, or print the generated coloring book through a user interface. This enables the generation of a variety of high-quality customized coloring books that reflect the individual preferences and interests of the user.

[1485] A "user interface" is an interface through which a user interacts with a computer system or application.

[1486] A "generative AI model" is a model that uses machine learning or deep learning algorithms to generate new data or content.

[1487] A "prompt sentence" is a text-based input sentence that provides instructions or conditions to a generative AI model.

[1488] A "coloring book" is an activity in which line drawings are filled in with color, or a book or image for that purpose.

[1489] "Characters" refer to specific people, animals, and other characters or creatures that are the subject of coloring books.

[1490] A "theme" is a specific situation or concept that serves as the background or primary setting for a coloring book.

[1491] "Color preferences" refers to the color combinations and colors that a user particularly likes.

[1492] "Data" refers to a collection of information based on user-entered preferences and interests.

[1493] A "server" is a computer system that processes requests from user terminals on a network and provides services.

[1494] A "terminal" is an electronic device such as a computer or smartphone that a user uses to connect to a server and use a service.

[1495] The present invention relates to a system for generating and delivering customized coloring books based on a user's preferences and interests. The system includes a process that accepts user input and automatically creates a coloring book based on that information using a generative AI model.

[1496] System configuration

[1497] The system consists of the following main components:

[1498] 1. User Interface (Terminal)

[1499] The device provides an interface for user interaction, for example, by generating an input form using HTML, CSS, and JavaScript through a web browser. The user can use this form to input a character (e.g., "cat"), a theme (e.g., "space"), and color preferences (e.g., "blue and green").

[1500] 2. Data transmission and reception (terminal -> server)

[1501] The device packages the information entered by the user in JSON format and sends it via an HTTP POST request to the server, which receives the data using a web framework such as Python's Flask or Node.js's Express.

[1502] 3. Data analysis and prompt generation (server)

[1503] The server analyzes the received data and extracts character, theme, and color preferences, which are then used to generate prompts for the generative AI model, which are designed to accurately reflect the user's preferences.

[1504] Example: "Character: Cat", "Theme: Space", "Favorite Colors: Blue and Green"

[1505] 4. Sending a request to the generative AI model (server)

[1506] The server sends a request containing a prompt to the generative AI model, such as "Stable Diffusion." The server issues a generation command by sending an HTTP request via the API.

[1507] 5. Coloring book generation (generative AI model)

[1508] The generative AI model uses the prompt text to generate a high-resolution, customized coloring book, accurately reflecting shades of blue and green, and featuring cat and space themes.

[1509] 6. Sending the generated results (generated AI model -> server -> device)

[1510] The generative AI model returns the generated coloring book to the server, which converts it into an appropriate file format (e.g., PDF, JPEG, PNG) and sends it to the user's device.

[1511] 7. Display and save coloring pages (device)

[1512] The device displays the sent coloring data to the user. The user can then enjoy the created coloring book by downloading or printing it. The device's UI provides download and print buttons.

[1513] Specific examples

[1514] Here is a concrete example of how the system works:

[1515] 1. User Input

[1516] The user enters the character "cat," the theme "space," and the color preference "blue and green" into the input form on the device.

[1517] 2. Data Transmission

[1518] The terminal packages the input data in JSON format and sends it to the server via an HTTP POST request.

[1519] 3. Data analysis and prompt generation

[1520] The server receives the JSON data, extracts the data for the character "cat," the theme "space," and the color preference "blue and green," and generates a prompt sentence that combines them.

[1521] 4. Sending a request to the generative AI model

[1522] The server provides prompts to the generative AI model, instructing it to generate high-quality customized coloring books.

[1523] 5. Coloring book generation

[1524] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background and including shades of blue and green.

[1525] 6. Sending the generated results

[1526] The server receives the generated coloring book and sends it to the user's device.

[1527] 7. View and save your coloring book

[1528] The user's device displays the generated coloring book, which the user can download or print.

[1529] The above process allows for the rapid and accurate generation of a customized coloring book that reflects the user's individual preferences and interests.

[1530] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1531] Step 1: Displaying the User Interface (Terminal)

[1532] The terminal displays a user interface, which includes an input form that allows the user to input their character, theme, and color preferences. Specifically, the interface is designed using HTML, CSS, and JavaScript.

[1533] Input: None

[1534] Output: An interface that allows the user to enter input.

[1535] What it does: Loads an HTML file, styles it with CSS, and provides an interactive form with JavaScript.

[1536] Step 2: Accepting User Input (Terminal)

[1537] Users input their character "cat," theme "space," and color preference "blue and green." The device validates the input in real time to ensure accurate data.

[1538] Input: User-entered character, theme, and color preferences

[1539] Output: Validated input data

[1540] Specific behavior: Form validation using JavaScript, displaying error messages

[1541] Step 3: Sending input data (terminal -> server)

[1542] The terminal packages the data entered by the user in JSON format and sends it to the server via an HTTP POST request.

[1543] Input: Validated input data

[1544] Output: JSON data sent to the server

[1545] Specific behavior: Sends an HTTP POST request using the JavaScript Fetch API

[1546] Step 4: Data reception and analysis (server)

[1547] The server receives HTTP requests from devices and parses the JSON data to extract character, theme, and color preferences.

[1548] Input: JSON data sent from the terminal

[1549] Output: Extracted characters, themes, and color preferences

[1550] What it does: Parse JSON and extract data using Python and JavaScript

[1551] Step 5: Prompt Generation (Server)

[1552] The server generates prompts for the generative AI model based on the extracted data, such as "Character: cat," "Theme: space," and "Favorite colors: blue and green."

[1553] Input: Extracted characters, themes, and color preferences

[1554] Output: Generated prompt statement

[1555] Specific operation: Create a text format in Python and generate a prompt.

[1556] Step 6: Sending a request to the generative AI model (server)

[1557] The server sends the generated prompt to a generative AI model, such as "Stable Diffusion," and sends a request via an API.

[1558] Input: Generated prompt statement

[1559] Output: Sending a request to the generative AI model

[1560] Specific behavior: Sends an HTTP request to the API and provides a prompt.

[1561] Step 7: Coloring book generation (generative AI model)

[1562] The generative AI model generates customized coloring pages based on prompts, reflecting specified characters and themes and matching color preferences.

[1563] Input: prompt statement

[1564] Output: A customized coloring book

[1565] What it does: Generate high-resolution images using deep learning algorithms

[1566] Step 8: Sending the generated results (generated AI model -> server -> device)

[1567] The generative AI model returns the generated coloring book to the server, which converts the coloring book data into an appropriate file format (PDF, JPEG, PNG, etc.) and sends it to the user's device.

[1568] Input: Generated coloring book

[1569] Output: Coloring data sent to the user's device

[1570] Specific operation: Receives coloring data, converts the file format if necessary, and sends it to the device as an HTTP response.

[1571] Step 9: View and save your coloring book (device)

[1572] The terminal displays the transmitted coloring data to the user, who can then download or print the displayed coloring book.

[1573] Input: Submitted coloring data

[1574] Output: Coloring, download, and print options displayed to the user

[1575] Specific behavior: Display a coloring book using HTML Canvas and Image tags, and provide download and print buttons

[1576] This process allows for the creation and display of customized coloring pages based on the user's preferences and interests.

[1577] (Application example 1)

[1578] 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."

[1579] Conventional coloring book providing systems only generate customized coloring books according to the user's preferences and interests, but there is no way for the user to immediately receive the generated coloring book. This makes it difficult for users to easily and quickly enjoy customized coloring books in physical stores. In addition, separate printing equipment and operations are required to print the coloring book, which is inconvenient.

[1580] 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.

[1581] In this invention, the server includes means for receiving information such as character, theme, and color preferences based on the preferences and interests input by the user, means for providing the received information to a generative AI model and instructing it to generate a customized coloring book, means for transmitting the generated customized coloring book to the user's terminal, means for receiving data for generating a coloring book based on the specified character or theme and printing it on the spot, and means for displaying the generated coloring book on an interactive kiosk terminal, thereby enabling users to easily and quickly enjoy a customized coloring book tailored to their preferences in a physical store.

[1582] "User" refers to any individual or entity that wishes to use the System to generate a customized coloring book.

[1583] "Preferences and interests" refers to the individual preferences and interests of the user, and is a general term for information including character, theme, color selection, etc.

[1584] "Characters" refers to characters and animals that appear in illustrations, animations, etc.

[1585] "Theme" refers to the concept of the background, situation, scene, etc. used in the coloring book.

[1586] "Color preferences" refers to the user's selection of desired shades or color schemes to use in the coloring book.

[1587] A "generative AI model" refers to an artificial intelligence (AI) algorithm or neural network that automatically generates a customized coloring book based on information provided by the user.

[1588] "Terminal" refers to a device used by a user to operate the system, including smartphones, tablets, PCs, kiosk terminals, etc.

[1589] An "interactive kiosk terminal" refers to a publicly installed information terminal that can be operated by direct contact with a user and has a display that can provide instant output.

[1590] A "customized coloring book" refers to a coloring book with unique content that is automatically generated by a generative AI model based on the user's preferences and interests.

[1591] "Means for receiving data and printing on the spot" refers to a device or mechanism that has the function of receiving the generated customized coloring book data in real time and immediately physically printing it.

[1592] The present invention relates to a system for creating customized coloring books based on a user's preferences and interests and providing the coloring books at an interactive kiosk terminal installed in a brick-and-mortar store. Specific embodiments of the system are described in detail below.

[1593] System configuration

[1594] Accepting user input (touch screen)

[1595] Users first use a touchscreen kiosk in a brick-and-mortar store to input information about their preferences and interests, specifically selecting their character, theme, and color preferences. The interface is built using HTML, CSS, and JavaScript. For example, a user might input a "penguin" character, a "Antarctic" theme, and a "blue and white" color preference.

[1596] Data transmission (terminal -> server)

[1597] The entered data is packaged in JSON format and sent to the server via an HTTP request, which accurately conveys information about the user's preferences and interests to the server.

[1598] Request reception and analysis (server)

[1599] The server parses the received HTTP request and extracts data, specifically the character "Penguin," the theme "Antarctica," and the color preference "Blue and White." The server-side processing is implemented using Python and Flask.

[1600] Instructions for generating a coloring book (Server -> Generative AI model)

[1601] The server then provides the analyzed data to a generative AI model, which is built using machine learning frameworks such as TensorFlow and PyTorch, to generate a customized coloring book based on the data provided.

[1602] Coloring book generation process (generative AI model)

[1603] The generative AI model uses built-in algorithms to generate coloring images based on user-specified characters and themes, such as a customized coloring book featuring penguins against an Antarctic backdrop, with blue and white as the color palette.

[1604] Sending the generated results (generated AI model -> server -> device)

[1605] The coloring data returned by the generative AI model is sent back to the server and then sent to the kiosk terminal used by the user. The data is sent in PDF or a common image file format.

[1606] Display and print coloring pages (device)

[1607] The user's device displays the received coloring book data on the touch screen of the interactive kiosk terminal for the user to confirm, after which the terminal instantly prints the coloring book using the built-in high-speed printer.

[1608] Specific examples

[1609] For example, if the user selects "penguin," "antarctic," and "blue and white," this data is sent to the server and the generative AI model generates the following prompt:

[1610] Character: Penguin

[1611] Theme: Antarctica

[1612] Color preference: Blue and white

[1613] This generates a coloring book with a blue and white theme featuring a penguin standing against an Antarctic backdrop, and users can receive the printed coloring book on the spot.

[1614] This system allows users to easily and quickly enjoy customized coloring books tailored to their preferences in physical stores.

[1615] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1616] Step 1:

[1617] The terminal (a touchscreen installed on a kiosk) accepts input from the user about character, theme, color preferences, etc. The user enters information such as "penguin," "Antarctica," and "blue and white." This input data is packaged in JSON format.

[1618] Input: User-selected character, theme, and color preferences

[1619] Output: Input data in JSON format

[1620] Step 2:

[1621] The device sends the packaged JSON-formatted data to the server via an HTTP request, and the data is sent over the network.

[1622] Input: Input data in JSON format

[1623] Output: HTTP request sent to the server

[1624] Step 3:

[1625] The server analyzes the received HTTP request, parses the JSON data, extracts character, theme, and color preferences, and converts the analysis results into a format that can be passed to the generative AI model.

[1626] Input: HTTP request (JSON data)

[1627] Output: Parsed character, theme, and color preference data

[1628] Step 4:

[1629] The server then provides the parsed data to a generative AI model, which is built on machine learning frameworks such as TensorFlow and PyTorch, to generate a customized coloring book.

[1630] Input: Parsed character, theme, and color preference data

[1631] Output: Instructions for generating a coloring book to the generative AI model

[1632] Step 5:

[1633] A generative AI model generates customized coloring pages based on the data provided. It uses specific algorithms to create coloring images. For example, it might generate a coloring page featuring penguins standing against an Antarctic background in blue and white.

[1634] Input: Generation instruction data from the server

[1635] Output: Generated customized coloring book image

[1636] Step 6:

[1637] The generative AI model returns the generated coloring book to the server, which then repackages the coloring book data and sends it to the device. The data sent can be in PDF or a standard image file format.

[1638] Input: Generated customized coloring book image

[1639] Output: Send coloring book data (PDF or image file format)

[1640] Step 7:

[1641] The terminal displays the received customized coloring data and has an interface for the user to confirm. After the user confirms, the coloring book is printed on the spot using a high-speed printer.

[1642] Input: Received coloring data

[1643] Output: Coloring page display on the interface and printed coloring page

[1644] 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.

[1645] The present invention relates to a system that generates and provides customized coloring books based on a user's preferences and interests. Furthermore, the present invention enhances the user experience by incorporating an emotion engine that recognizes the user's emotions and suggests appropriate character, theme, and color preferences based on the emotions. The system includes a process that accepts user input and automatically creates a coloring book using a generative AI model based on the input.

[1646] System configuration

[1647] 1. User input reception (terminal)

[1648] The device provides a means for users to input information about their preferences and interests through a user interface. The interface is designed to allow users to input their preferred characters (e.g., "cat"), themes (e.g., "space"), and color preferences (e.g., "blue and green"). The emotion engine can also recognize emotions by analyzing the user's facial and voice data.

[1649] 2. Emotion Engine (Terminal)

[1650] The on-device emotion engine analyzes the user's facial expressions and voice data in real time to determine their emotions. Based on the recognized emotions, the system can suggest characters, themes, and color preferences that match the user's tastes.

[1651] 3. Data transmission (terminal -> server)

[1652] The device packages the data entered by the user and the data suggested by the emotion engine in JSON format and sends it to the server via an HTTP request.

[1653] 4. Request Reception and Analysis (Server)

[1654] The server receives the HTTP request from the device and analyzes the data contained therein, including character, theme, and color preferences, as well as information suggested by the emotion engine.

[1655] 5. Instructions for generating a coloring book (Server -> Generative AI model)

[1656] The server instructs the generative AI model to generate a coloring book based on the analyzed data. The generative AI model is programmed to automatically generate a new coloring book based on the specified characters and themes.

[1657] 6. Coloring book generation process (generative AI model)

[1658] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"), and also reflects the user's specified color preferences (e.g., "blue and green").

[1659] 7. Sending the generated results (generated AI model -> server -> device)

[1660] The generative AI model returns the generated coloring book data to the server, which then sends the data to the user's device in a common file format such as PDF or image file.

[1661] 8. Displaying coloring books (device)

[1662] The terminal displays the received coloring data to the user. The generated coloring book is shown to the user via the user interface. The user can then download or print the coloring book and enjoy coloring it.

[1663] Specific examples

[1664] As an example, consider the following steps:

[1665] 1. Input example:

[1666] Users input a character like "cat," a theme like "space," and a color preference of "blue and green." The emotion engine recognizes the user's smile and detects joy. Based on this, it makes suggestions like "bright background" or "starry sky."

[1667] 2. Data transmission:

[1668] The device packages the input data and the data suggested by the emotion engine in JSON format and sends it to the server via an HTTP request.

[1669] 3. Receiving and parsing the request:

[1670] The server receives the request and analyzes the data to extract the character "cat," the theme "space," and the color preference "blue and green." Additionally, the emotion engine's suggestion data is also analyzed.

[1671] 4. Instructions for creating a coloring book:

[1672] The server provides the analyzed data to a generative AI model, instructing it to generate a customized coloring book.

[1673] 5. Generation process:

[1674] The generative AI model generates a customized coloring book featuring a "cat" against a "space" background, reflecting blue and green hues. Based on the emotion engine's suggestions, a starry sky is added to the background.

[1675] 6. Sending the generated results:

[1676] The server receives the generated coloring book and sends it to the user's device.

[1677] 7. Coloring book display:

[1678] The device displays the coloring book and presents it to the user via a user interface, who can then download, print, and enjoy the coloring book.

[1679] The system allows users to easily access customized coloring pages based on their preferences and current emotions, further enhancing creativity and enjoyment.

[1680] The processing flow will be explained below.

[1681] Step 1:

[1682] The device displays a user interface and provides a form for the user to enter their preferences for characters, themes, and colors. The user enters their preferences and interests in the form. The device validates the entered data and ensures that all required fields are entered. At this point, the device also obtains the user's facial expressions and voice data and provides it to the emotion engine.

[1683] Step 2:

[1684] The emotion engine on the device analyzes the user's facial expressions and voice data to recognize their emotions. For example, if the user is smiling, it is recognized as "joy," and if they are frowning, it is recognized as "surprise." The emotion engine then suggests the most suitable characters, themes, and color preferences based on the recognized emotions.

[1685] Step 3:

[1686] The device packages the data entered by the user and the data suggested by the emotion engine in JSON format. This JSON data includes character, theme, color preferences, and the emotion engine's suggestions. The device then sends this data to the server as an HTTP request.

[1687] Step 4:

[1688] The server receives HTTP requests from devices, analyzes the data, and extracts information about characters, themes, color preferences, and emotion engine suggestions. The extracted information is then formatted as input data for the generative AI model.

[1689] Step 5:

[1690] The server provides the analyzed data to the generative AI model, which is programmed to automatically generate a new coloring book based on the specified characters and theme.

[1691] Step 6:

[1692] The generative AI model generates a coloring book based on the provided data. This process creates a customized coloring book based on the user's specified character (e.g., "cat") and theme (e.g., "space"). Based on suggestions from the emotion engine, additional elements such as a starry sky background are incorporated, and color preferences (e.g., "blue and green") are also applied.

[1693] Step 7:

[1694] The generative AI model returns the generated coloring data to the server, which then sends the received coloring data to the user's device. The file format sent is a common format such as PDF or image file.

[1695] Step 8:

[1696] The terminal displays the received coloring data on the user interface. The user can check the displayed customized coloring book and enjoy downloading or printing it. The user can unleash their creativity using the customized coloring book provided by the system.

[1697] Example 2

[1698] 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."

[1699] Conventional coloring book generation systems lack functionality to improve the user experience, and lack the ability to customize based on user preferences and interests. Furthermore, there are no systems that recognize users' emotions and make suggestions based on them. Therefore, it is difficult to provide users with customized coloring books that satisfy their needs.

[1700] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for receiving information such as character, theme, and color preferences based on preferences and interests input by the user, a means for providing the received information and the user's emotion recognition results to a generative AI model and instructing it to generate a customized coloring book, a means for transmitting the generated customized coloring book to the user's terminal, and a means for displaying the received coloring book data to the user and enabling download or printing. This enables the generation of a more personalized coloring book based on the user's input and emotions.

[1701] "User-entered preferences and interests" refers to information such as character, theme, and color preferences that a user enters through an interface.

[1702] "Emotion recognition result" is the result of analyzing the user's facial expressions and voice data in real time and determining the user's emotions.

[1703] A "generative AI model" is an artificial intelligence model that automatically generates coloring pages based on specified characters or themes.

[1704] A "customized coloring book" is a coloring book that is automatically created by a generative AI model based on user-entered preferences, interests, and emotions.

[1705] "Server" is a central processing unit that receives, analyzes, and provides user-entered data to the generative AI model.

[1706] A "user terminal" is an electronic device through which a user inputs information and receives and displays the generated customized coloring book.

[1707] A "user interface" is an operating screen that allows users to easily input information based on their preferences, interests, and emotions.

[1708] "Data transmission" is the process of sending information entered by the user and emotion recognition results from the terminal to the server.

[1709] "Data analysis" is the process by which the server reads the data it receives and extracts the necessary information.

[1710] "Downloading or printing" refers to the act of the user saving the generated coloring book from the terminal or printing it out on paper.

[1711] The present invention relates to a system that generates and provides customized coloring books based on a user's preferences and interests. Furthermore, the present invention enhances the user experience by incorporating an emotion engine that recognizes the user's emotions and suggests appropriate character, theme, and color preferences based on the emotions. The system includes a process that accepts user input and automatically creates a coloring book using a generative AI model based on the input.

[1712] Hardware and software used

[1713] 1. Terminal

[1714] A device for providing a user interface, including tablets and smartphones.

[1715] It is equipped with a camera and microphone to capture the user's facial expressions and voice.

[1716] Equipped with an emotion recognition engine, it analyzes the user's emotions in real time.

[1717] 2. Server

[1718] Receives and analyzes data sent from the terminal.

[1719] Sends data and instructions to the generative AI model.

[1720] The generated coloring data is sent to the user's terminal.

[1721] 3. Generative AI Models

[1722] An artificial intelligence model that automatically generates coloring pages based on specified characters and themes.

[1723] An example is a deep learning-based image generation model.

[1724] How it works

[1725] User input reception (terminal)

[1726] Users input their character (e.g., "cat"), theme (e.g., "space"), and color preferences (e.g., "blue and green") through the device's user interface. The device's built-in camera and microphone also capture facial expressions and voice, and this data is analyzed in real time by an emotion recognition engine. Based on the analyzed emotion data, the system makes suggestions that match the user's preferences.

[1727] Data transmission (terminal -> server)

[1728] The data entered by the user and the data analyzed by the emotion recognition engine are sent from the device to the server in JSON format using an HTTP request.

[1729] Request reception and analysis (server)

[1730] The server receives the HTTP request from the device and parses the data contained therein, including the user's input preferences for characters, themes, and colors, as well as additional information suggested by an emotion recognition engine.

[1731] Instructions for generating a coloring book (Server -> Generative AI model)

[1732] The server provides the analyzed data to the generative AI model and instructs it to generate a customized coloring book. Based on this data, the generative AI model generates a customized coloring book that reflects the specified characters and theme.

[1733] Sending the generated results (generated AI model -> server -> device)

[1734] The coloring book data generated by the generative AI model is sent back to the server, which then sends it to the user's device in a standard PDF or image file format.

[1735] Display coloring book (device)

[1736] The device displays the received coloring data to the user through a user interface, allowing the user to view the coloring page on the screen and download or print it.

[1737] Specific examples of operation

[1738] 1. Example user input:

[1739] Character: "Cat"

[1740] Theme: "Space"

[1741] Color preference: "Blue and green"

[1742] 2. Example prompt:

[1743] Character: Cat

[1744] Theme: Space

[1745] Color preference: Blue and green

[1746] Suggestions: bright background, starry sky

[1747] The system allows users to easily access customized coloring pages based on their preferences and current emotions, further enhancing creativity and enjoyment.

[1748] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1749] Step 1: Accepting user input (terminal)

[1750] The terminal provides a user interface for user input. The user uses this interface to input information such as a character (e.g., "cat"), a theme (e.g., "space"), and color preferences (e.g., "blue and green"). The terminal captures the input data and stores it internally.

[1751] input:

[1752] Information that users enter on the interface, such as character, theme, and color preferences.

[1753] output:

[1754] User input data stored on the device.

[1755] Specific behavior:

[1756] The user enters "cat," "space," and "blue and green" into the text fields and clicks the "Submit" button.

[1757] Step 2: Emotion Recognition (Device)

[1758] The device uses a built-in camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this data in real time and determines the user's emotion. For example, if the user is smiling, it is determined to be "happy."

[1759] input:

[1760] Facial and voice data of the user captured by a camera and microphone.

[1761] output:

[1762] User emotion data determined by the emotion engine.

[1763] Specific behavior:

[1764] The user smiles at the camera and speaks into the microphone, and the device collects this data and analyzes their emotions.

[1765] Step 3: Send data (device -> server)

[1766] The device packages the data entered by the user and the emotion recognition data in JSON format and sends it to the server as an HTTP request. When the request is sent, the message "Transmission has started" is displayed.

[1767] input:

[1768] User input data and emotion recognition data.

[1769] output:

[1770] The HTTP request sent to the server in JSON format.

[1771] Specific behavior:

[1772] When the "Send" button is clicked, the user's input data and emotion data are converted into JSON format and sent to the server as an HTTP request.

[1773] Step 4: Receiving and parsing the request (server)

[1774] The server receives the HTTP request from the device and parses the JSON data, which includes the character, theme, color preference, and emotion recognition results. The server extracts this information and processes it.

[1775] input:

[1776] JSON format data received from the terminal.

[1777] output:

[1778] Analyzed characters, themes, color preferences, and emotion recognition results.

[1779] Specific behavior:

[1780] The server receives the HTTP request, parses the JSON data, and stores the information in specific variables.

[1781] Step 5: Instructions for generating a coloring book (Server -> Generative AI model)

[1782] The server then instructs the AI ​​model to generate a coloring book based on the analyzed data. Specifically, it sends the prompt text "Character: cat, theme: space, color preference: blue and green, suggestions: bright background, starry sky" to the AI ​​model.

[1783] input:

[1784] Analyzed user character, theme, color preferences, and emotion recognition results.

[1785] output:

[1786] The prompt sent to the generative AI model.

[1787] Specific behavior:

[1788] The server generates a prompt sentence based on the analysis results and sends it to the generative AI model.

[1789] Step 6: Coloring book generation process (generative AI model)

[1790] The generative AI model generates a coloring book based on prompts received from the server, resulting in a customized coloring book that reflects the user's specified character ("cat"), theme ("space"), and color preferences ("blue and green").

[1791] input:

[1792] The prompt text sent by the server.

[1793] output:

[1794] Generated customized coloring data.

[1795] Specific behavior:

[1796] A generative AI model analyzes the prompt and generates a coloring book based on it.

[1797] Step 7: Sending the generated results (generated AI model -> server -> device)

[1798] The generative AI model returns the generated coloring data to the server, which then sends it to the user's device as a PDF or JPEG file.

[1799] input:

[1800] Generated coloring data returned from the generative AI model.

[1801] output:

[1802] Coloring book data sent to the user's device.

[1803] Specific behavior:

[1804] The server sends the coloring data received from the generated AI model to the terminal.

[1805] Step 8: View the coloring book (device)

[1806] The device displays the received coloring data on a user interface. The user can check the coloring page on the screen and save or print it by clicking the "Download" or "Print" button.

[1807] input:

[1808] Coloring book data sent from the server.

[1809] output:

[1810] The coloring data displayed to the user.

[1811] Specific behavior:

[1812] The device displays the coloring data, and the user clicks the "Download" or "Print" button to save or print it.

[1813] (Application example 2)

[1814] 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."

[1815] In conventional factory work environments, workers' motivation and stress management have not been adequately considered, resulting in issues such as reduced productivity and a worsening working environment. In particular, there are many cases where workers feel fatigued and mentally burdened due to monotony of work and long working hours. The present invention aims to solve these issues by generating entertainment content customized to the worker's emotions and preferences, thereby improving the working environment.

[1816] 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.

[1817] In this invention, the server includes: means for receiving information such as character, theme, and color preferences based on the preferences and interests input by the user; means for instructing a generative AI model to generate customized content using the received information and an emotion engine that recognizes and processes the user's emotions; and means for transmitting the generated customized content to a display device and audio device installed in the user's terminal or work environment. This makes it possible to provide visual and audio entertainment content that suits the worker's emotions and preferences, which is expected to have the effect of improving the work environment.

[1818] "User-input preferences and interests" refers to personal preference information such as characters, themes, and color preferences selected and input by the user.

[1819] A "character" is a fictional or real person, animal, or anthropomorphic being with a particular trait or characteristic.

[1820] A "theme" is a subject or context related to a particular situation, environment, concept, idea, or setting.

[1821] "Color preferences" are a user's preferences for particular colors or color combinations.

[1822] The "emotion engine" is a system that analyzes the user's facial expressions and voice data in real time to determine the user's emotions.

[1823] A "generative AI model" is an artificial intelligence algorithm that automatically generates content (such as coloring books, visual and auditory content) based on input data.

[1824] "Customized Content" means visual or auditory content that is individually tailored and generated based on a user's preferences and emotions.

[1825] A "terminal" is a device that allows a user to input information, check displayed content, and use it.

[1826] "Display and audio devices" are devices used to visually or audibly present the generated customized content to the user.

[1827] The system is designed to generate customized entertainment content based on factory workers' emotions and preferences to enhance their working environment.

[1828] 1. User input reception (terminal)

[1829] The terminal provides a way for workers to input information about their preferences and interests through a user interface built into the factory robot. Users input preferences for specific characters, themes, and colors into the interface. They can also input prompts such as "your favorite theme or character" and "facial expressions and words that express your mood."

[1830] 2. Emotion Engine (Terminal)

[1831] The emotion engine installed on the terminal analyzes the worker's facial expressions and voice in real time to determine their emotions, thereby recognizing their current emotional state (e.g., "fatigue").

[1832] 3. Data transmission (terminal -> server)

[1833] The device packages the preference data entered by the user and the emotion data recognized by the emotion engine into JSON format and sends it to the server via an HTTP request.

[1834] 4. Request Reception and Analysis (Server)

[1835] The server receives the HTTP request sent from the device and analyzes the data contained therein, including the character, theme, color preference, and current emotional state.

[1836] 5. Instructions for customized content generation (Server -> Generative AI model)

[1837] The server then uses the analyzed data to instruct the generative AI model to generate customized content, which then generates new visual and auditory content based on the specified characters and themes.

[1838] 6. Content generation process (generative AI model)

[1839] The generative AI model generates customized visual and auditory content based on the provided data, including user-specified characters, themes, and color palettes, and incorporates elements suggested by the emotion engine (e.g., relaxing background music and visuals).

[1840] 7. Sending the generated results (generated AI model -> server -> device)

[1841] The generative AI model sends the generated content back to the server, which then sends it to the factory robot's terminal.

[1842] 8. Content display and playback (device)

[1843] The terminal displays and plays the generated customized content to workers through the factory robot's display and speakers.

[1844] Hardware and software used

[1845] Emotion Engine: A system (EmotionEngine) that analyzes facial expressions and voice in real time and recognizes emotions.

[1846] Generative AI model: An algorithm (AIContentGenerator) that generates customized visual and auditory content based on input data.

[1847] Terminal: A part of a factory robot that includes a user interface, display, speaker, etc.

[1848] Server: Responsible for analyzing data and instructing the generative AI model.

[1849] Specific examples

[1850] For example, if a worker's preference is "cats," the theme is "relaxation," and the color preference is "blue" and "green," the emotion engine may recognize "fatigue." Based on this data, the generative AI model will generate a "cat" character, a "relaxation"-themed background in blue and green, and soothing music. This content is provided to the worker via the factory robot's terminal.

[1851] Prompt Sentence Examples

[1852] "Generate background and music that the user needs to relax. Character is cat, theme is relaxing, and color preference is blue and green."

[1853] In this way, content that matches the worker's emotions and preferences can be provided, which is expected to improve the work environment and work efficiency.

[1854] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1855] Step 1:

[1856] Accepts data based on user-entered preferences and interests.

[1857] Through the user interface on the terminal of the factory robot, the user inputs a specific character (e.g., "cat"), a theme (e.g., "relax"), color preferences (e.g., "blue" and "green"), etc. The input data is collected by the terminal.

[1858] Step 2:

[1859] The emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state.

[1860] The device's emotion engine recognizes the user's face and analyzes their voice in real time to determine their emotions. For example, it can recognize "fatigue" through facial expression analysis. The input data is the user's facial expression and voice data, and the output is their emotional state.

[1861] Step 3:

[1862] The input data and emotion data are sent to the server.

[1863] The device packages the preference data entered by the user and the emotion data recognized by the emotion engine in JSON format and sends it to the server via an HTTP request. The input is the packaged data, and the destination is the server.

[1864] Step 4:

[1865] The server parses the received data.

[1866] The server receives the HTTP request sent from the device and parses the data contained therein. The parsed data includes characters, themes, color preferences, and emotional states. The input is the packaged data, and the output is the parsed data.

[1867] Step 5:

[1868] The server instructs the generative AI model to generate content.

[1869] The server uses the analyzed data to instruct the generative AI model to generate customized content. The generative AI model receives prompts to generate content based on inputs such as character, theme, color, and emotional state. The input is the analyzed data, and the output is the data that instructs generation.

[1870] Step 6:

[1871] Generative AI models generate customized content.

[1872] A generative AI model generates customized visual and auditory content based on the provided data, including content reflecting user-specified characters (e.g., "cat"), themes (e.g., "relaxation"), and color tones (e.g., "blue and green"), as well as elements suggested by an emotion engine (e.g., relaxing music for users feeling "fatigued"). The input is instruction data, and the output is generated content.

[1873] Step 7:

[1874] The generated content is returned to the server and transmitted to the terminal.

[1875] The generative AI model returns the generated content to the server, which then sends it to the factory robot's terminal. The input is the generated content data, and the output is the data sent to the terminal.

[1876] Step 8:

[1877] The device displays and plays the generated content.

[1878] The terminal uses the factory robot's display and speaker to display and play content customized for the worker. The displayed content is visual and auditory entertainment for relaxation purposes, thereby reducing stress and increasing motivation for the worker. The input is the content data sent to the terminal, and the output is the content that is displayed and played.

[1879] 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.

[1880] 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.

[1881] 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.

[1882] 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.

[1883] 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.

[1884] 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.

[1885] 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).

[1886] 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.

[1887] 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."

[1888] 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.

[1889] 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).

[1890] 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.

[1891] 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.

[1892] 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.

[1893] 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.

[1894] 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.

[1895] 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.

[1896] 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.

[1897] 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.

[1898] 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.

[1899] 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.

[1900] The following is further disclosed regarding the above embodiment.

[1901] (Claim 1)

[1902] means for receiving information such as character, theme, and color preferences based on user-entered preferences and interests;

[1903] a means for providing the received information to a generative AI model and instructing the model to generate a customized coloring book;

[1904] means for transmitting the generated customized coloring book to a user's terminal;

[1905] A system including:

[1906] (Claim 2)

[1907] 10. The system of claim 1, wherein the generative AI model includes means for automatically creating a coloring book based on specified characters and themes.

[1908] (Claim 3)

[1909] 10. The system of claim 1, further comprising means for providing an interface through which a user or parent can easily input preferences and interests.

[1910] "Example 1"

[1911] (Claim 1)

[1912] means for receiving data such as character, theme, and color preferences based on user-entered preferences and interests;

[1913] means for parsing the received data and generating a prompt;

[1914] A means for providing the generated prompt sentence to a generative AI model to instruct the model to generate a customized coloring book;

[1915] means for transmitting the generated customized coloring book to a user's terminal;

[1916] a means for allowing a user to view, download, or print the generated coloring book through a user interface;

[1917] A system including:

[1918] (Claim 2)

[1919] 10. The system of claim 1, wherein the generative AI model includes means for automatically creating a coloring book based on specified characters and themes.

[1920] (Claim 3)

[1921] 10. The system of claim 1, further comprising means for providing an interface through which a user or parent can easily input preferences and interests.

[1922] "Application Example 1"

[1923] (Claim 1)

[1924] means for receiving information such as character, theme, and color preferences based on user-entered preferences and interests;

[1925] a means for providing the received information to a generative AI model and instructing the model to generate a customized coloring book;

[1926] means for transmitting the generated customized coloring book to a user's terminal;

[1927] A means for receiving data for generating a coloring book based on a specified character or theme and printing it on the spot;

[1928] a means for displaying the generated coloring book on an interactive kiosk; and

[1929] A system including:

[1930] (Claim 2)

[1931] 10. The system of claim 1, wherein the generative AI model automatically creates a coloring book based on a specified character or theme.

[1932] (Claim 3)

[1933] 10. The system of claim 1, which provides an interface that allows a user or parent to easily input preferences and interests.

[1934] "Example 2: Combining Emotion Engines"

[1935] (Claim 1)

[1936] means for receiving information such as character, theme, and color preferences based on user-entered preferences and interests;

[1937] A means for providing the received information and the user's emotion recognition results to a generative AI model and instructing the model to generate a customized coloring book;

[1938] means for transmitting the generated customized coloring book to a user's terminal;

[1939] means for displaying the received coloring book data to a user and enabling the user to download or print the data;

[1940] A system including:

[1941] (Claim 2)

[1942] 10. The system of claim 1, wherein the generative AI model includes means for automatically creating a coloring book based on specified characters and themes.

[1943] (Claim 3)

[1944] 10. The system of claim 1, further comprising means for providing an interface that allows a user or parent to easily input preferences and interests and receive emotion-aware suggestions.

[1945] "Application example 2 when combining emotion engines"

[1946] (Claim 1)

[1947] means for receiving information such as character, theme, and color preferences based on user-entered preferences and interests;

[1948] means for instructing the generative AI model to generate customized content using an emotion engine that recognizes and processes the received information and the user's emotions;

[1949] means for transmitting the generated customized content to a display and sound device installed in the user's terminal or working environment;

[1950] A system including:

[1951] (Claim 2)

[1952] 10. The system of claim 1, wherein the generative AI model includes means for automatically creating visual and audio content based on specified characters and themes.

[1953] (Claim 3)

[1954] 10. The system of claim 1, further comprising means for providing an interface through which a user or operator can easily input preferences and interests. [Explanation of symbols]

[1955] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for receiving information such as character, theme, and color preferences based on user-entered preferences and interests; a means for providing the received information to a generative AI model and instructing the model to generate a customized coloring book; means for transmitting the generated customized coloring book to a user's terminal; A system including:

2. 10. The system of claim 1, wherein the generative AI model includes means for automatically creating a coloring book based on a specified character or theme.

3. 10. The system of claim 1, further comprising means for providing an interface through which a user or parent can easily input preferences and interests.

Images