system

Abstract

We provide the system. [Solution] A means of receiving input from the parent, A generation means that creates generated data based on the received input, A means of constructing a story based on generated data, A means of generating illustrations based on a constructed story, A means of creating digital media by combining stories and illustrations, Means for transmitting the formed digital medium, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Modern parents have a problem that it is difficult to find picture books suitable for their children's interests and ages. In particular, when parents are looking for stories incorporating specific themes or lessons, picture books that meet such needs are not sufficiently provided in the existing market. Also, the conventional method is not efficient because it takes a lot of time and effort to select picture books.

Means for Solving the Problems

[0005] This invention provides a system that automatically generates stories and illustrations based on input information from parents and educators, and delivers picture books in digital format. Specifically, it includes means for generating original stories using a generation AI model based on age and theme information entered by parents, means for automatically generating illustrations suitable for the generated stories, and means for combining these to form a digital medium and quickly providing it to parents and educators. This allows parents to easily and quickly receive customized digital picture books that match their child's learning needs.

[0006] "Parental input" refers to parents providing the system with information such as their child's age and areas of interest.

[0007] "Generated data" refers to the information that forms the basis of stories and illustrations automatically created by the system based on input from the parent.

[0008] "Generation method" refers to the process or method of automatically creating stories or illustrations based on specified information.

[0009] "Methods for constructing a story" refers to the process of creating a consistent narrative by shaping storylines and characters from generated data.

[0010] "Methods for generating illustrations" refers to the process of automatically generating visual representations based on a constructed narrative.

[0011] "Means of forming digital media" refers to the process of combining generated stories and illustrations to complete a picture book in digital format.

[0012] "Means of transmission" refers to the methods and processes for quickly sending the completed digital media to the user's device.

[0013] "Age information" refers to data about the age of the target child, and is treated as an important element in the creation of stories and illustrations.

[0014] "Theme information" refers to data about the subject or concept used to define the content of a story or illustration.

[0015] An "artificial intelligence model" refers to an algorithm or system used to generate new stories or illustrations by learning from past data and patterns. [Brief explanation of the drawing]

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

Mode for Carrying Out the Invention

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

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

[0019] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

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

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

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

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

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

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

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

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0033] As shown in Figure 2, in the data processing device 12, specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

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

[0035] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

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

[0037] This invention relates to a system for parents or educators to provide children with customized picture books. This system primarily involves a process in which a parent or educator (hereinafter referred to as "user") accesses the system through their own device and generates and obtains an original picture book through the following steps.

[0038] First, the user accesses the system using a terminal. The system provides a user interface where the user can input information such as the child's age, areas of interest, and even special requests. This input information is used as the basis for the stories and illustrations that the system generates.

[0039] Next, the device sends the entered information to the server. The server uses a powerful generative AI model to generate an original story based on the received information. The AI ​​model has learned from past data and story patterns, and can automatically create content that matches the specified theme and age. In this process, care is taken to ensure that the story is educational and child-friendly.

[0040] After the story is generated, the server uses AI again to generate illustrations that match the story. The illustration generation process creates visual representations based on the story's characters and setting. This step ensures consistency between the story and the illustrations.

[0041] The server then combines the generated story and illustrations to complete a digital picture book. This digital picture book uses an easy-to-read font size and appropriate page layout, making it enjoyable for parents and children to read together.

[0042] Finally, the completed digital picture book is sent from the server to the user's device. The user can then share the received digital picture book with their child, allowing them to enjoy learning and fun reading time together.

[0043] For example, for a 5-year-old child who loves dinosaurs, simply inputting "5 years old" and "dinosaurs" allows the AI ​​to automatically generate and provide a picture book containing an adventurous story and cute dinosaur illustrations. In this way, users can quickly obtain educational content tailored to their child's needs.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] Users use their devices to input information to customize the picture book. Specifically, they enter the child's age, themes of interest, and special requests (e.g., lessons or characters) into input fields. This information serves as the basis for the system to generate the original story and illustrations.

[0047] Step 2:

[0048] The terminal sends the entered information to the server. The transmission takes place over the network, and the data is verified to ensure its accuracy.

[0049] Step 3:

[0050] The server analyzes the received information and activates the AI ​​model. The AI ​​model begins generating a story based on the input. Specifically, it uses theme and age information to structure the story and create character settings, adapting it to content suitable for children.

[0051] Step 4:

[0052] Based on a story generated on the server, AI is used to automatically generate illustrations. Here, illustrations are created that match the characters and scenes appearing in the story. The AI ​​refers to language and image matching data to select appropriate visual elements.

[0053] Step 5:

[0054] The server integrates the story and illustrations to create a digital picture book. Page layouts are adjusted and design elements are optimized to create an easy-to-read and user-friendly digital medium.

[0055] Step 6:

[0056] The server sends the completed digital picture book to the device. Since the transmission is done in real time, the user can view the picture book immediately.

[0057] Step 7:

[0058] Users can view the digital picture books received on their devices and read them together with their children. This allows for use in parent-child reading sessions and learning activities.

[0059] (Example 1)

[0060] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0061] Providing personalized educational content for children is difficult, and a challenge lies in the effort required of parents and educators to quickly prepare picture books that are appropriate for children's interests and age.

[0062] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0063] In this invention, the server includes means for receiving personalized information from a parent or educator, means for automatically creating story data using a generative AI model, and means for generating visual data based on the generated story data. This makes it possible to quickly generate and provide original digital picture books tailored to individual children.

[0064] "Personalized information" refers to information provided by parents or educators about a child's age, interests, and special needs.

[0065] "Original story data" refers to data of unique stories tailored to each child, generated based on individualized information.

[0066] A "generative AI model" is an artificial intelligence system that learns from past data and story patterns and automatically generates narratives and visual elements based on specific conditions.

[0067] "Visual data" refers to illustration data such as characters and backgrounds that correspond to the generated story.

[0068] "Electronic media" refers to digital content that integrates narrative data and visual data, and is provided as a picture book that can be displayed on electronic devices.

[0069] The system in this invention allows parents or educators to easily generate personalized picture books for children. The user (parent or educator) first accesses a dedicated picture book generation system through their device. The device is connected to the internet and can input personalized information provided by the user. This information includes the child's age, interests, and special requests.

[0070] The terminal sends the entered personalized information to the server. The server analyzes the entered information using a powerful generative AI model and generates original story data based on it. The generative AI model has learned from a large amount of historical data and story patterns, and has the ability to create stories optimized for children.

[0071] Once the story data is generated, the server uses the generation AI model again to generate visual data (illustrations) that match the story. This visual data visually represents the characters and scenes of the story, providing the reader with a consistent narrative experience.

[0072] The server then integrates the story data and visual data to create a digital picture book as an electronic medium. This digital picture book uses an easy-to-read font size and appropriate page layout, making it suitable for use by parents and children together.

[0073] Finally, the server sends the completed digital picture book to the user's device. The user can then receive the e-book on their device and enjoy it with their child. For example, by using a prompt such as, "Generate a dinosaur-themed adventure story for a 5-year-old," it is possible to obtain an AI-generated picture book in a short amount of time.

[0074] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0075] Step 1:

[0076] The user accesses the picture book generation system using a device. The user enters personalized information into the interface on the device. The entered data includes the child's age, themes of interest, and special requests. The device compiles this information and sends it to the server.

[0077] Step 2:

[0078] The server receives personalized information sent by the terminal. The server then activates a generative AI model and converts the received personalized information into a prompt. This prompt is used to give specific instructions to the AI ​​model. For example, it might say, "Generate a dinosaur-themed adventure story for a 5-year-old."

[0079] Step 3:

[0080] The server generates narrative data from prompt text using a generative AI model. Based on the received instructions, the AI ​​model extracts patterns from a trained database and creates a story that suits the specified conditions. This process involves data manipulation and calculations.

[0081] Step 4:

[0082] The server uses the generated AI model to create visual data (illustrations) based on the generated story data. Illustrations are automatically created based on the characters and scenes of the generated story. This ensures consistency between the story and the visual data.

[0083] Step 5:

[0084] The server combines story data and visual data to create a digital picture book in electronic format. Font size and page layout are automatically adjusted, taking into consideration its use for bedtime stories and educational purposes.

[0085] Step 6:

[0086] The server sends the completed digital picture book to the user's device. The user can then open the picture book on their device and enjoy reading time with their child. Through this seamless process, the user can receive personalized content.

[0087] (Application Example 1)

[0088] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0089] The challenge lies in not only rapidly and effectively generating customizable stories and illustrations, but also providing them as physical objects, enabling parents and educators to offer children personalized educational experiences. To solve this challenge, a system is needed that automates the entire process from generating digital data to creating physical media.

[0090] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0091] In this invention, the server includes a device for receiving input information, a device for creating generated data based on the received input information, a device for constructing a story based on the generated data, a device for generating visual data based on the constructed story, a device for combining the story and visual data to form an electronic medium, a device for transmitting the formed electronic medium, and a device for physically generating the formed object using a transport unit control device. This makes it possible to generate an original digital picture book and simultaneously bind its contents into a physical medium and provide it to the user.

[0092] "Input information" refers to data that users provide to the system, and this includes personalized information such as age information and theme information.

[0093] "Generated data" refers to the basic data created by AI models and other systems based on received input information, and is used to construct narratives and visual data.

[0094] "Visual data" refers to visual representations such as images and illustrations that correspond to a constructed narrative, and is generated to effectively complement the content of the story.

[0095] "Electronic media" refers to a medium in which information is stored in digital format, and in this invention, it refers to a digital picture book in which story and visual data are integrated.

[0096] A "transportation unit" refers to a unit or unit used when handling physical media within a manufacturing process, and is used in the processes of bookbinding and delivery.

[0097] A "control device" is a device that manages and adjusts the operation of each device or unit within a system, enabling integrated operation of the entire system.

[0098] A system for realizing this invention includes a user, a terminal, and a server configuration.

[0099] The user first accesses the system using a terminal. The terminal has an input interface where the user can enter information such as the child's age, areas of interest, and other customization requirements. This information is then sent from the terminal to the server.

[0100] The server processes the received input information and uses a generative AI model to generate a story. This generative AI model is trained on past data and story patterns and generates original stories tailored to the specified theme and age group. Next, the AI ​​model is used again to generate visual data, i.e., illustrations, based on the generated story.

[0101] The generated stories and illustrations are combined on a server to form an electronic medium. This electronic medium is then bound into a physical book by a transport unit. In this process, a control device operates the bookbinding equipment to quickly and efficiently produce a physical picture book.

[0102] Ultimately, the completed picture books will be delivered to users and used for reading and learning time with their children. The hardware used in this system includes embedded computers such as Raspberry Pi and bookbinding equipment, while the software used includes ROS (Robot Operating System) and generative AI models.

[0103] As a concrete example, if you select "5 years old" and "space" as the themes, you would input the following prompt into the generating AI: "User input: Generate a story with a space theme for a 5-year-old, depicting an adventure with interesting characters." This will generate the corresponding story.

[0104] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0105] Step 1:

[0106] Users access the system using a terminal and enter information such as their child's age and areas of interest through an input interface. This input information is stored in the terminal's database and prepared to be sent to the server.

[0107] Step 2:

[0108] The terminal sends the information entered by the user to the server. The server receives this data, converts it to the required format, and creates prompts for input into the generated AI model. The input is the user's input information, and the output is the prompt text.

[0109] Step 3:

[0110] The server uses a generative AI model to generate a story based on the prompt. In this process, the AI ​​model uses past data and story patterns to generate content appropriate for the specified theme and age. The input is the prompt, and the output is the generated story.

[0111] Step 4:

[0112] The server uses the AI ​​model again to generate visual data, i.e., illustrations, based on the generated story. In this step, images that match the characters and setting of the story are automatically generated. The input is the generated story, and the output is the visual data.

[0113] Step 5:

[0114] The server combines story and visual data to form an electronic medium. This electronic medium ultimately takes the form of a digital picture book to be delivered to the user. The input is story and visual data, and the output is the electronic medium.

[0115] Step 6:

[0116] After the electronic media is formed, the server uses the transport unit's control device to bind it as physical media. In this process, bookbinding equipment is operated and a physical picture book is created. The input is electronic media, and the output is physical media.

[0117] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0118] This invention relates to a system that allows parents or educators to provide children with emotionally tailored, customized picture books. The system enables users to generate and obtain original, emotion-based stories by performing a series of processes through their own devices.

[0119] First, the user accesses the system using a device and enters information to customize the picture book. This information includes the child's age, themes of interest, and any special requests. The system also incorporates an emotion engine that can recognize the user's emotions during input. The emotion engine analyzes the user's emotions through voice input and other means, identifying emotions such as joy, surprise, and sadness.

[0120] The input information and emotional data are sent from the terminal to the server. The server analyzes this data and uses a generative AI model to create an original story that corresponds to the emotions in the text. The emotional data is reflected in the story's content, generating a story that matches the user's background emotions.

[0121] Once the story is complete, the server uses AI again to automatically generate illustrations that match it. In this process, colors and designs that match the emotional expression are adopted for the illustrations. Once the story and illustrations are complete, the server combines them digitally to form the final digital picture book.

[0122] The server then sends the completed digital picture book to the user's device. The user can then view the received digital picture book with their child and enjoy a heartwarming reading experience together through emotionally resonant content.

[0123] For example, if a user requests a children's adventure-themed picture book with the emotion of "surprise," the AI ​​will generate a story incorporating elements of surprise and provide visually expressive illustrations for the surprising scenes. In this way, a customized picture book is reliably provided that incorporates not only textual information but also emotions.

[0124] The following describes the processing flow.

[0125] Step 1:

[0126] Users access the system using a device and enter information to customize the picture book. An interface is provided for describing the child's age, themes of interest, and any special requests. Users can also express their emotions through voice input.

[0127] Step 2:

[0128] The terminal sends data entered by the user to the server. This data includes not only text information but also audio data. The audio data is important for analyzing the user's emotional state.

[0129] Step 3:

[0130] The server analyzes the received data and uses an emotion engine to identify the user's emotions from the voice data. The emotion engine analyzes voice features to identify emotions such as joy, surprise, and sadness.

[0131] Step 4:

[0132] When an emotion is recognized by the server, a generative AI model is activated, and a story is generated based on the input theme, age information, and emotional information. The recognized emotion is incorporated as an important element within the story.

[0133] Step 5:

[0134] The server automatically generates illustrations using AI based on the generated story. During this process, colors and designs are selected to match the emotional tone of the story. The illustrations are crucial for visually representing the atmosphere of the story.

[0135] Step 6:

[0136] The server combines the story and illustrations to create a digital picture book. The digital format is then designed for readability, with adjustments to page layout, fonts, and other elements.

[0137] Step 7:

[0138] The server sends the completed digital picture book to the device. The user receives the picture book in real time and can immediately check its contents.

[0139] Step 8:

[0140] Users open the digital picture book received on their device and enjoy the content together with their children. The emotionally sensitive story and illustrations support a time of learning and enjoyment for parents and children.

[0141] (Example 2)

[0142] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0143] Traditional picture book creation systems have presented challenges in that it is difficult for users to create customized stories based on individual emotions, and the generated story content and visual presentation are not always optimized to children's interests and emotions. As a result, it has been difficult for users to share a consistent and heartwarming reading experience with their children.

[0144] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0145] In this invention, the server includes means for receiving information from users, means for analyzing emotional data based on the received information, and means for generating a story based on the emotional data. This makes it possible to create customized picture books that respond to emotions.

[0146] A "user" is an entity that accesses the system and provides information for the creation of picture books.

[0147] "Information" refers to data including age information, subject information, and other special requests necessary for customizing the picture book.

[0148] "Emotional data" refers to data obtained by analyzing the emotional state of users, and is an element that is considered when generating narratives.

[0149] A "generation method" is a process that has the function of creating a story based on received information and emotional data.

[0150] "Visual representation" refers to illustrations and graphic materials created to complement the generated narrative.

[0151] "Digital media" refers to digital content that integrates narrative and visual expression, and can be viewed on the user's device.

[0152] "Means of transmission" refers to communication functions used to provide the created digital medium to the user.

[0153] This invention is a system for users to create customized picture books through their own devices. The system has the function of analyzing emotional data based on input information from the user and generating a story and visual representation based on that data.

[0154] Users access the system using a device and input customization information for children's picture books. This information includes the child's age, areas of interest, and any special requests. Furthermore, users input emotions via voice through the device, which are then analyzed by an emotion engine. This emotion engine uses voice recognition software to identify specific emotions such as joy, surprise, and sadness.

[0155] The collected information and emotional data are sent from the terminal to the server. The server analyzes this data and creates prompt sentences using a generative AI model. Based on these prompt sentences, an original story optimized for the user's emotions and theme is generated. Based on the generated story, the server automatically generates visual representations using AI technology. In this process, colors and designs that match the emotions are applied.

[0156] Once the story and visual representation are complete, the server integrates them digitally to generate the final digital picture book. This digital picture book is then sent to the user's device, allowing the user and their child to enjoy a rich and emotional reading experience.

[0157] As a concrete example, one prompt might be, "Create a picture book for a 5-year-old child, themed around a pirate adventure, incorporating feelings of surprise and joy." Based on this prompt, the AI ​​constructs a story incorporating elements of surprise and generates corresponding visual representations. This allows users to provide a heartwarming experience through a customized picture book for children.

[0158] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0159] Step 1:

[0160] The user accesses the system using a terminal and enters information to customize the picture book. This information includes the child's age, themes of interest, and special requests. The terminal collects this information as data and prepares it for processing. Specifically, the user enters the required information into a form on the screen and presses the submit button.

[0161] Step 2:

[0162] The device utilizes voice input functionality to capture the user's emotions. When the user inputs an emotion via voice, the device collects the voice data and sends it to the emotion engine. The emotion engine uses speech recognition technology to analyze the voice data and identify emotions such as joy, surprise, and sadness. The identified emotion data is returned to the device from the emotion engine in text format.

[0163] Step 3:

[0164] The terminal sends information entered by the user and sentiment data obtained from the sentiment engine to the server. This data includes user customization information and sentiment information, which arrive at the server as prompt messages. Specifically, the terminal sends this data to the server in packet form via the network connection.

[0165] Step 4:

[0166] The server receives the prompt message sent from the terminal and begins analysis. Based on the analysis results, the server provides input to a generative AI model, which generates an original story that aligns with the user's emotions and themes. In this process, the generative AI model processes the prompt message, determines the story's structure, and outputs the story as text.

[0167] Step 5:

[0168] The server then initiates the process of generating visual representations based on the generated story. The server again utilizes AI technology to automatically generate illustrations that match the story. During this process, colors and designs corresponding to emotions are selected, and image data representing the visual representation is output.

[0169] Step 6:

[0170] The server integrates the generated story and visual representation to form a digital picture book. Specifically, the server edits this text data and image data and packages it as a single digital picture book. Next, it prepares to send the completed digital picture book to the user's device.

[0171] Step 7:

[0172] The server sends the completed digital picture book to the user's device. The user receives the picture book on their device and enjoys it with their child. This transmission includes providing a download link for the digital medium or a directly viewable interface. Specifically, the user can receive a notification, open the picture book, and begin the shared experience.

[0173] (Application Example 2)

[0174] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0175] Traditional digital picture book generation systems only allowed users to customize stories based on their child's age and interests, making it difficult to provide stories that reflected the user's current emotions. Furthermore, they lacked an integrated virtual store for effectively previewing and ultimately purchasing these digital picture books. This made it challenging to provide an emotionally tailored reading experience that fosters a stronger parent-child bond.

[0176] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0177] In this invention, the server includes means for receiving input from a parent, means for creating generated data based on the received input, and means for analyzing the user's emotions and customizing the digital medium considering the analysis results. This allows for the automatic generation of stories and illustrations that are appropriate to the user's emotions, which can then be previewed and purchased within the virtual store.

[0178] "Means for receiving input from parents" refers to a device or method for receiving input information provided by a parent or educator through a digital device.

[0179] "Generative means for creating generated data" refers to a device or method that creates data that forms the basis of a story based on received input information.

[0180] "Means of constructing a narrative" refers to a device or method that uses generated data to form a logical narrative flow.

[0181] "Means for generating illustrations" refers to a device or method for creating illustrations to visually represent a constructed story.

[0182] "Means of forming a digital medium" refers to a device or method that combines a story and illustrations into a single digital medium.

[0183] "Means for transmitting a formed digital medium" refers to an apparatus or method for transmitting a completed digital picture book to other digital devices or platforms.

[0184] "Means for analyzing user emotions" refers to a device or method for evaluating an emotional state based on information and responses provided by the user to the system.

[0185] "Means for making digital media available for preview and purchase within a virtual store" refers to a device or method that provides a process for customers to check, select, and purchase digital media online.

[0186] The system for implementing the invention is configured to provide parents or educators with emotionally-based, customized picture books for their children. Users access the application using a digital device such as a smartphone or tablet and provide their current emotional state via voice or touch input, along with the child's age, areas of interest, and special requests, using the input screen displayed on the device. Based on this, an emotion analysis engine analyzes the user's emotions and extracts emotional data such as "joy" or "surprise."

[0187] The device sends user input information and emotional data to a server in the cloud. The server utilizes generative AI models such as Google Cloud AI and Amazon SageMaker to generate a story based on the input information. The story's development and setting are designed to respond to the user's emotions, and the story's content reflects those emotions. Subsequently, the AI ​​generates illustrations suitable for the story, incorporating emotion-based colors and designs into the visual elements.

[0188] Ultimately, the server integrates the story and illustrations to create data in the form of a digital picture book and sends it to the user's device. This digital picture book can be previewed within the virtual store application, and can be shared and purchased by parents and children. The virtual store also offers users a variety of picture book options, increasing their freedom of choice.

[0189] As a concrete example, let's say a user requests a picture book with the themes of "surprise" and "adventure." In this case, the AI ​​will generate an adventure story filled with unexpected events and create dynamic illustrations to match. Possible prompts for this would be instructions such as, "Please create a story for a 5-year-old, with a theme of surprise and adventure. The story should include elements of surprise and lively illustrations."

[0190] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0191] Step 1:

[0192] Users input information such as their child's age, interests, special requests, and their own emotional state through a smartphone application. Input can be via text or voice input for sentiment analysis. Users enter this information into the application on their device and send the data to the server.

[0193] Step 2:

[0194] The device sends the user-entered information and emotional data to a server in the cloud. At this point, the input data is structured as user information and converted into the necessary format for use in the next process.

[0195] Step 3:

[0196] The server utilizes a cloud-based emotion analysis engine to identify emotions such as joy, surprise, and sadness from voice data and text provided by the user. The emotion engine then evaluates the user's emotions numerically and categorically, generating emotion data as output.

[0197] Step 4:

[0198] The server utilizes a generative AI model to automatically generate stories based on user information and emotional data. Specifically, the story is structured according to the input theme and emotions, and the AI ​​model creates the story outline and detailed storyline. The story is generated dynamically based on the input data.

[0199] Step 5:

[0200] Based on the generated story, the server uses AI to create illustrations that match its content. The image generation model prepares the most suitable visuals for each scene and character in the story, and processes them so that the emotions are reflected in the colors and design.

[0201] Step 6:

[0202] The server combines the generated story and illustrations to form a digital medium. It integrates the story text with corresponding illustrations to create a digital picture book file. This data is optimized for display on the user's device.

[0203] Step 7:

[0204] The completed digital picture book is sent from the server to the user's device. The user can preview the picture book on their device and purchase and download it as needed through the virtual store function. The picture book is used to provide enjoyment for parents and children.

[0205] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0206] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0207] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0208] [Second Embodiment]

[0209] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0210] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0211] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0212] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0213] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0214] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0215] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0216] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0217] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0218] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0219] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0220] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0221] This invention relates to a system for parents or educators to provide children with customized picture books. This system primarily involves a process in which a parent or educator (hereinafter referred to as "user") accesses the system through their own device and generates and obtains an original picture book through the following steps.

[0222] First, the user accesses the system using a terminal. The system provides a user interface where the user can input information such as the child's age, areas of interest, and even special requests. This input information is used as the basis for the stories and illustrations that the system generates.

[0223] Next, the device sends the entered information to the server. The server uses a powerful generative AI model to generate an original story based on the received information. The AI ​​model has learned from past data and story patterns, and can automatically create content that matches the specified theme and age. In this process, care is taken to ensure that the story is educational and child-friendly.

[0224] After the story is generated, the server uses AI again to generate illustrations that match the story. The illustration generation process creates visual representations based on the story's characters and setting. This step ensures consistency between the story and the illustrations.

[0225] The server then combines the generated story and illustrations to complete a digital picture book. This digital picture book uses an easy-to-read font size and appropriate page layout, making it enjoyable for parents and children to read together.

[0226] Finally, the completed digital picture book is sent from the server to the user's device. The user can then share the received digital picture book with their child, allowing them to enjoy learning and fun reading time together.

[0227] For example, for a 5-year-old child who loves dinosaurs, simply inputting "5 years old" and "dinosaurs" allows the AI ​​to automatically generate and provide a picture book containing an adventurous story and cute dinosaur illustrations. In this way, users can quickly obtain educational content tailored to their child's needs.

[0228] The following describes the processing flow.

[0229] Step 1:

[0230] Users use their devices to input information to customize the picture book. Specifically, they enter the child's age, themes of interest, and special requests (e.g., lessons or characters) into input fields. This information serves as the basis for the system to generate the original story and illustrations.

[0231] Step 2:

[0232] The terminal sends the entered information to the server. The transmission takes place over the network, and the data is verified to ensure its accuracy.

[0233] Step 3:

[0234] The server analyzes the received information and activates the AI ​​model. The AI ​​model begins generating a story based on the input. Specifically, it uses theme and age information to structure the story and create character settings, adapting it to content suitable for children.

[0235] Step 4:

[0236] Based on a story generated on the server, AI is used to automatically generate illustrations. Here, illustrations are created that match the characters and scenes appearing in the story. The AI ​​refers to language and image matching data to select appropriate visual elements.

[0237] Step 5:

[0238] The server integrates the story and illustrations to create a digital picture book. Page layouts are adjusted and design elements are optimized to create an easy-to-read and user-friendly digital medium.

[0239] Step 6:

[0240] The server sends the completed digital picture book to the device. Since the transmission is done in real time, the user can view the picture book immediately.

[0241] Step 7:

[0242] Users can view the digital picture books received on their devices and read them together with their children. This allows for use in parent-child reading sessions and learning activities.

[0243] (Example 1)

[0244] Next, we will describe Example 1. 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."

[0245] Providing personalized educational content for children is difficult, and a challenge lies in the effort required of parents and educators to quickly prepare picture books that are appropriate for children's interests and age.

[0246] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0247] In this invention, the server includes means for receiving personalized information from a parent or educator, means for automatically creating story data using a generative AI model, and means for generating visual data based on the generated story data. This makes it possible to quickly generate and provide original digital picture books tailored to individual children.

[0248] "Personalized information" refers to information provided by parents or educators about a child's age, interests, and special needs.

[0249] "Original story data" refers to data of unique stories tailored to each child, generated based on individualized information.

[0250] A "generative AI model" is an artificial intelligence system that learns from past data and story patterns and automatically generates narratives and visual elements based on specific conditions.

[0251] "Visual data" refers to illustration data such as characters and backgrounds that correspond to the generated story.

[0252] "Electronic media" refers to digital content that integrates narrative data and visual data, and is provided as a picture book that can be displayed on electronic devices.

[0253] The system in this invention allows parents or educators to easily generate personalized picture books for children. The user (parent or educator) first accesses a dedicated picture book generation system through their device. The device is connected to the internet and can input personalized information provided by the user. This information includes the child's age, interests, and special requests.

[0254] The terminal sends the entered personalized information to the server. The server analyzes the entered information using a powerful generative AI model and generates original story data based on it. The generative AI model has learned from a large amount of historical data and story patterns, and has the ability to create stories optimized for children.

[0255] Once the story data is generated, the server uses the generation AI model again to generate visual data (illustrations) that match the story. This visual data visually represents the characters and scenes of the story, providing the reader with a consistent narrative experience.

[0256] The server then integrates the story data and visual data to create a digital picture book as an electronic medium. This digital picture book uses an easy-to-read font size and appropriate page layout, making it suitable for use by parents and children together.

[0257] Finally, the server sends the completed digital picture book to the user's device. The user can then receive the e-book on their device and enjoy it with their child. For example, by using a prompt such as, "Generate a dinosaur-themed adventure story for a 5-year-old," it is possible to obtain an AI-generated picture book in a short amount of time.

[0258] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0259] Step 1:

[0260] The user accesses the picture book generation system using a device. The user enters personalized information into the interface on the device. The entered data includes the child's age, themes of interest, and special requests. The device compiles this information and sends it to the server.

[0261] Step 2:

[0262] The server receives personalized information sent by the terminal. The server then activates a generative AI model and converts the received personalized information into a prompt. This prompt is used to give specific instructions to the AI ​​model. For example, it might say, "Generate a dinosaur-themed adventure story for a 5-year-old."

[0263] Step 3:

[0264] The server generates narrative data from prompt text using a generative AI model. Based on the received instructions, the AI ​​model extracts patterns from a trained database and creates a story that suits the specified conditions. This process involves data manipulation and calculations.

[0265] Step 4:

[0266] The server uses the generated AI model to create visual data (illustrations) based on the generated story data. Illustrations are automatically created based on the characters and scenes of the generated story. This ensures consistency between the story and the visual data.

[0267] Step 5:

[0268] The server combines story data and visual data to create a digital picture book in electronic format. Font size and page layout are automatically adjusted, taking into consideration its use for bedtime stories and educational purposes.

[0269] Step 6:

[0270] The server sends the completed digital picture book to the user's device. The user can then open the picture book on their device and enjoy reading time with their child. Through this seamless process, the user can receive personalized content.

[0271] (Application Example 1)

[0272] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0273] The challenge lies in not only rapidly and effectively generating customizable stories and illustrations, but also providing them as physical objects, enabling parents and educators to offer children personalized educational experiences. To solve this challenge, a system is needed that automates the entire process from generating digital data to creating physical media.

[0274] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0275] In this invention, the server includes a device for receiving input information, a device for creating generated data based on the received input information, a device for constructing a story based on the generated data, a device for generating visual data based on the constructed story, a device for combining the story and visual data to form an electronic medium, a device for transmitting the formed electronic medium, and a device for physically generating the formed object using a transport unit control device. This makes it possible to generate an original digital picture book and simultaneously bind its contents into a physical medium and provide it to the user.

[0276] "Input information" refers to data that users provide to the system, and this includes personalized information such as age information and theme information.

[0277] "Generated data" refers to the basic data created by AI models and other systems based on received input information, and is used to construct narratives and visual data.

[0278] "Visual data" refers to visual representations such as images and illustrations that correspond to a constructed narrative, and is generated to effectively complement the content of the story.

[0279] "Electronic media" refers to a medium in which information is stored in digital format, and in this invention, it refers to a digital picture book in which story and visual data are integrated.

[0280] A "transportation unit" refers to a unit or unit used when handling physical media within a manufacturing process, and is used in the processes of bookbinding and delivery.

[0281] A "control device" is a device that manages and adjusts the operation of each device or unit within a system, enabling integrated operation of the entire system.

[0282] A system for realizing this invention includes a user, a terminal, and a server configuration.

[0283] First, the user accesses the system using a terminal. Here, the terminal has an input interface, and the user can input the age information of the child, the theme of interest, and other customization requirements. These pieces of information are sent from the terminal to the server.

[0284] The server processes the received input information and uses a generative AI model to generate a story. This generative AI model is trained based on past data and story patterns and generates an original story according to the specified theme and age group. Next, the AI model is used again to generate visual data, that is, illustrations, based on the generated story.

[0285] The generated story and illustrations are combined within the server to form an electronic medium. This electronic medium is further bound as a physical medium by a transport unit. In this process, a control device operates the binding device to quickly and efficiently generate a physical picture book.

[0286] Finally, the completed picture book is delivered to the user and utilized for parent-child reading and learning time. The hardware used in this system includes an embedded computer such as a Raspberry Pi and a binding device, and software such as ROS (Robot Operating System) and a generative AI model is used.

[0287] As a specific example, when "5 years old" and "universe" are selected as themes, the following prompt sentence is input to the generative AI: "User input: Generate a story with the theme of 5 years old and the universe, and depict a story of setting out on an adventure with interesting characters." Thereby, the target story is generated.

[0288] The flow of specific processing in Application Example 1 will be described using FIG. 12.

[0289] Step 1:

[0290] Users access the system using a terminal and enter information such as their child's age and areas of interest through an input interface. This input information is stored in the terminal's database and prepared to be sent to the server.

[0291] Step 2:

[0292] The terminal sends the information entered by the user to the server. The server receives this data, converts it to the required format, and creates prompts for input into the generated AI model. The input is the user's input information, and the output is the prompt text.

[0293] Step 3:

[0294] The server uses a generative AI model to generate a story based on the prompt. In this process, the AI ​​model uses past data and story patterns to generate content appropriate for the specified theme and age. The input is the prompt, and the output is the generated story.

[0295] Step 4:

[0296] The server uses the AI ​​model again to generate visual data, i.e., illustrations, based on the generated story. In this step, images that match the characters and setting of the story are automatically generated. The input is the generated story, and the output is the visual data.

[0297] Step 5:

[0298] The server combines story and visual data to form an electronic medium. This electronic medium ultimately takes the form of a digital picture book to be delivered to the user. The input is story and visual data, and the output is the electronic medium.

[0299] Step 6:

[0300] After the electronic media is formed, the server uses the transport unit's control device to bind it as physical media. In this process, bookbinding equipment is operated and a physical picture book is created. The input is electronic media, and the output is physical media.

[0301] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0302] This invention relates to a system that allows parents or educators to provide children with emotionally tailored, customized picture books. The system enables users to generate and obtain original, emotion-based stories by performing a series of processes through their own devices.

[0303] First, the user accesses the system using a device and enters information to customize the picture book. This information includes the child's age, themes of interest, and any special requests. The system also incorporates an emotion engine that can recognize the user's emotions during input. The emotion engine analyzes the user's emotions through voice input and other means, identifying emotions such as joy, surprise, and sadness.

[0304] The input information and emotional data are sent from the terminal to the server. The server analyzes this data and uses a generative AI model to create an original story that corresponds to the emotions in the text. The emotional data is reflected in the story's content, generating a story that matches the user's background emotions.

[0305] Once the story is complete, the server uses AI again to automatically generate illustrations that match it. In this process, colors and designs that match the emotional expression are adopted for the illustrations. Once the story and illustrations are complete, the server combines them digitally to form the final digital picture book.

[0306] After that, the server sends the completed digital picture book to the user's terminal. The user can view the received digital picture book with their child and enjoy a warm reading experience between parent and child through the content that aligns with the emotions.

[0307] As a specific example, if the user requests a picture book with an adventure theme for their child with the emotion of "surprise", the AI generates a story incorporating elements of surprise and provides visually expressive illustrations for the surprise scenes. In this way, a customized picture book that incorporates not only text information but also emotions is surely provided.

[0308] The following explains the process flow.

[0309] Step 1:

[0310] The user uses the terminal to access the system and enters customization information for the picture book. Here, an interface is provided for describing the child's age, interested themes, and special requests. The user can also express their emotions through voice input.

[0311] Step 2:

[0312] The terminal sends the data input by the user to the server. The data sent includes voice data in addition to text information. Voice data is important for analyzing the user's emotional state.

[0313] Step 3:

[0314] The server analyzes the received data and uses an emotion engine to identify the user's emotions from the voice data. The emotion engine analyzes voice features and identifies emotions such as joy, surprise, and sadness.

[0315] Step 4:

[0316] When an emotion is recognized by the server, a generative AI model is activated, and a story is generated based on the input theme, age information, and emotional information. The recognized emotion is incorporated as an important element within the story.

[0317] Step 5:

[0318] The server automatically generates illustrations using AI based on the generated story. During this process, colors and designs are selected to match the emotional tone of the story. The illustrations are crucial for visually representing the atmosphere of the story.

[0319] Step 6:

[0320] The server combines the story and illustrations to create a digital picture book. The digital format is then designed for readability, with adjustments to page layout, fonts, and other elements.

[0321] Step 7:

[0322] The server sends the completed digital picture book to the device. The user receives the picture book in real time and can immediately check its contents.

[0323] Step 8:

[0324] Users open the digital picture book received on their device and enjoy the content together with their children. The emotionally sensitive story and illustrations support a time of learning and enjoyment for parents and children.

[0325] (Example 2)

[0326] Next, we will describe Example 2. 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".

[0327] Traditional picture book creation systems have presented challenges in that it is difficult for users to create customized stories based on individual emotions, and the generated story content and visual presentation are not always optimized to children's interests and emotions. As a result, it has been difficult for users to share a consistent and heartwarming reading experience with their children.

[0328] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0329] In this invention, the server includes means for receiving information from users, means for analyzing emotional data based on the received information, and means for generating a story based on the emotional data. This makes it possible to create customized picture books that respond to emotions.

[0330] A "user" is an entity that accesses the system and provides information for the creation of picture books.

[0331] "Information" refers to data including age information, subject information, and other special requests necessary for customizing the picture book.

[0332] "Emotional data" refers to data obtained by analyzing the emotional state of users, and is an element that is considered when generating narratives.

[0333] A "generation method" is a process that has the function of creating a story based on received information and emotional data.

[0334] "Visual representation" refers to illustrations and graphic materials created to complement the generated narrative.

[0335] "Digital media" refers to digital content that integrates narrative and visual expression, and can be viewed on the user's device.

[0336] "Means of transmission" refers to communication functions used to provide the created digital medium to the user.

[0337] This invention is a system for users to create customized picture books through their own devices. The system has the function of analyzing emotional data based on input information from the user and generating a story and visual representation based on that data.

[0338] Users access the system using a device and input customization information for children's picture books. This information includes the child's age, areas of interest, and any special requests. Furthermore, users input emotions via voice through the device, which are then analyzed by an emotion engine. This emotion engine uses voice recognition software to identify specific emotions such as joy, surprise, and sadness.

[0339] The collected information and emotional data are sent from the terminal to the server. The server analyzes this data and creates prompt sentences using a generative AI model. Based on these prompt sentences, an original story optimized for the user's emotions and theme is generated. Based on the generated story, the server automatically generates visual representations using AI technology. In this process, colors and designs that match the emotions are applied.

[0340] Once the story and visual representation are complete, the server integrates them digitally to generate the final digital picture book. This digital picture book is then sent to the user's device, allowing the user and their child to enjoy a rich and emotional reading experience.

[0341] As a concrete example, one prompt might be, "Create a picture book for a 5-year-old child, themed around a pirate adventure, incorporating feelings of surprise and joy." Based on this prompt, the AI ​​constructs a story incorporating elements of surprise and generates corresponding visual representations. This allows users to provide a heartwarming experience through a customized picture book for children.

[0342] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0343] Step 1:

[0344] The user accesses the system using a terminal and enters information to customize the picture book. This information includes the child's age, themes of interest, and special requests. The terminal collects this information as data and prepares it for processing. Specifically, the user enters the required information into a form on the screen and presses the submit button.

[0345] Step 2:

[0346] The device utilizes voice input functionality to capture the user's emotions. When the user inputs an emotion via voice, the device collects the voice data and sends it to the emotion engine. The emotion engine uses speech recognition technology to analyze the voice data and identify emotions such as joy, surprise, and sadness. The identified emotion data is returned to the device from the emotion engine in text format.

[0347] Step 3:

[0348] The terminal sends information entered by the user and sentiment data obtained from the sentiment engine to the server. This data includes user customization information and sentiment information, which arrive at the server as prompt messages. Specifically, the terminal sends this data to the server in packet form via the network connection.

[0349] Step 4:

[0350] The server receives the prompt message sent from the terminal and begins analysis. Based on the analysis results, the server provides input to a generative AI model, which generates an original story that aligns with the user's emotions and themes. In this process, the generative AI model processes the prompt message, determines the story's structure, and outputs the story as text.

[0351] Step 5:

[0352] The server then initiates the process of generating visual representations based on the generated story. The server again utilizes AI technology to automatically generate illustrations that match the story. During this process, colors and designs corresponding to emotions are selected, and image data representing the visual representation is output.

[0353] Step 6:

[0354] The server integrates the generated story and visual representation to form a digital picture book. Specifically, the server edits this text data and image data and packages it as a single digital picture book. Next, it prepares to send the completed digital picture book to the user's device.

[0355] Step 7:

[0356] The server sends the completed digital picture book to the user's device. The user receives the picture book on their device and enjoys it with their child. This transmission includes providing a download link for the digital medium or a directly viewable interface. Specifically, the user can receive a notification, open the picture book, and begin the shared experience.

[0357] (Application Example 2)

[0358] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0359] Traditional digital picture book generation systems only allowed users to customize stories based on their child's age and interests, making it difficult to provide stories that reflected the user's current emotions. Furthermore, they lacked an integrated virtual store for effectively previewing and ultimately purchasing these digital picture books. This made it challenging to provide an emotionally tailored reading experience that fosters a stronger parent-child bond.

[0360] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0361] In this invention, the server includes means for receiving input from a parent, means for creating generated data based on the received input, and means for analyzing the user's emotions and customizing the digital medium considering the analysis results. This allows for the automatic generation of stories and illustrations that are appropriate to the user's emotions, which can then be previewed and purchased within the virtual store.

[0362] "Means for receiving input from parents" refers to a device or method for receiving input information provided by a parent or educator through a digital device.

[0363] "Generative means for creating generated data" refers to a device or method that creates data that forms the basis of a story based on received input information.

[0364] "Means of constructing a narrative" refers to a device or method that uses generated data to form a logical narrative flow.

[0365] "Means for generating illustrations" refers to a device or method for creating illustrations to visually represent a constructed story.

[0366] "Means of forming a digital medium" refers to a device or method that combines a story and illustrations into a single digital medium.

[0367] "Means for transmitting a formed digital medium" refers to an apparatus or method for transmitting a completed digital picture book to other digital devices or platforms.

[0368] "Means for analyzing user emotions" refers to a device or method for evaluating an emotional state based on information and responses provided by the user to the system.

[0369] "Means for making digital media available for preview and purchase within a virtual store" refers to a device or method that provides a process for customers to check, select, and purchase digital media online.

[0370] The system for implementing the invention is configured to provide parents or educators with emotionally-based, customized picture books for their children. Users access the application using a digital device such as a smartphone or tablet and provide their current emotional state via voice or touch input, along with the child's age, areas of interest, and special requests, using the input screen displayed on the device. Based on this, an emotion analysis engine analyzes the user's emotions and extracts emotional data such as "joy" or "surprise."

[0371] The device sends user input information and emotional data to a server in the cloud. The server utilizes generative AI models such as Google Cloud AI and Amazon SageMaker to generate a story based on the input information. The story's development and setting take into account the user's emotions, and the story's content reflects those emotions. Subsequently, the AI ​​generates illustrations suitable for the story, and emotion-based colors and designs are adopted for the visual elements.

[0372] Ultimately, the server integrates the story and illustrations to create data in the form of a digital picture book and sends it to the user's device. This digital picture book can be previewed within the virtual store application, and can be shared and purchased by parents and children. The virtual store also offers users a variety of picture book options, increasing their freedom of choice.

[0373] As a concrete example, let's say a user requests a picture book with the themes of "surprise" and "adventure." In this case, the AI ​​will generate an adventure story filled with unexpected events and create dynamic illustrations to match. Possible prompts for this would be instructions such as, "Please create a story for a 5-year-old, with a theme of surprise and adventure. The story should include elements of surprise and lively illustrations."

[0374] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0375] Step 1:

[0376] Users input information such as their child's age, interests, special requests, and their own emotional state through a smartphone application. Input can be via text or voice input for sentiment analysis. Users enter this information into the application on their device and send the data to the server.

[0377] Step 2:

[0378] The device sends the user-entered information and emotional data to a server in the cloud. At this point, the input data is structured as user information and converted into the necessary format for use in the next process.

[0379] Step 3:

[0380] The server utilizes a cloud-based emotion analysis engine to identify emotions such as joy, surprise, and sadness from voice data and text provided by the user. The emotion engine then evaluates the user's emotions numerically and categorically, generating emotion data as output.

[0381] Step 4:

[0382] The server utilizes a generative AI model to automatically generate stories based on user information and emotional data. Specifically, the story is structured according to the input theme and emotions, and the AI ​​model creates the story outline and detailed storyline. The story is generated dynamically based on the input data.

[0383] Step 5:

[0384] Based on the generated story, the server uses AI to create illustrations that match its content. The image generation model prepares the most suitable visuals for each scene and character in the story, and processes them so that the emotions are reflected in the colors and design.

[0385] Step 6:

[0386] The server combines the generated story and illustrations to form a digital medium. It integrates the story text with corresponding illustrations to create a digital picture book file. This data is optimized for display on the user's device.

[0387] Step 7:

[0388] The completed digital picture book is sent from the server to the user's device. The user can preview the picture book on their device and purchase and download it as needed through the virtual store function. The picture book is used to provide enjoyment for parents and children.

[0389] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0390] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0391] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0392] [Third Embodiment]

[0393] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0394] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0395] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0396] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0397] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0398] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0399] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0400] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0401] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0402] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0403] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0404] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0405] This invention relates to a system for parents or educators to provide children with customized picture books. This system primarily involves a process in which a parent or educator (hereinafter referred to as "user") accesses the system through their own device and generates and obtains an original picture book through the following steps.

[0406] First, the user accesses the system using a terminal. The system provides a user interface where the user can input information such as the child's age, areas of interest, and even special requests. This input information is used as the basis for the stories and illustrations that the system generates.

[0407] Next, the device sends the entered information to the server. The server uses a powerful generative AI model to generate an original story based on the received information. The AI ​​model has learned from past data and story patterns, and can automatically create content that matches the specified theme and age. In this process, care is taken to ensure that the story is educational and child-friendly.

[0408] After the story is generated, the server uses AI again to generate illustrations that match the story. The illustration generation process creates visual representations based on the story's characters and setting. This step ensures consistency between the story and the illustrations.

[0409] The server then combines the generated story and illustrations to complete a digital picture book. This digital picture book uses an easy-to-read font size and appropriate page layout, making it enjoyable for parents and children to read together.

[0410] Finally, the completed digital picture book is sent from the server to the user's device. The user can then share the received digital picture book with their child, allowing them to enjoy learning and fun reading time together.

[0411] For example, for a 5-year-old child who loves dinosaurs, simply inputting "5 years old" and "dinosaurs" allows the AI ​​to automatically generate and provide a picture book containing an adventurous story and cute dinosaur illustrations. In this way, users can quickly obtain educational content tailored to their child's needs.

[0412] The following describes the processing flow.

[0413] Step 1:

[0414] Users use their devices to input information to customize the picture book. Specifically, they enter the child's age, themes of interest, and special requests (e.g., lessons or characters) into input fields. This information serves as the basis for the system to generate the original story and illustrations.

[0415] Step 2:

[0416] The terminal sends the entered information to the server. The transmission takes place over the network, and the data is verified to ensure its accuracy.

[0417] Step 3:

[0418] The server analyzes the received information and activates the AI ​​model. The AI ​​model begins generating a story based on the input. Specifically, it uses theme and age information to structure the story and create character settings, adapting it to content suitable for children.

[0419] Step 4:

[0420] Based on a story generated on the server, AI is used to automatically generate illustrations. Here, illustrations are created that match the characters and scenes appearing in the story. The AI ​​refers to language and image matching data to select appropriate visual elements.

[0421] Step 5:

[0422] The server integrates the story and illustrations to create a digital picture book. Page layouts are adjusted and design elements are optimized to create an easy-to-read and user-friendly digital medium.

[0423] Step 6:

[0424] The server sends the completed digital picture book to the device. Since the transmission is done in real time, the user can view the picture book immediately.

[0425] Step 7:

[0426] Users can view the digital picture books received on their devices and read them together with their children. This allows for use in parent-child reading sessions and learning activities.

[0427] (Example 1)

[0428] Next, we will describe Example 1. 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."

[0429] Providing personalized educational content for children is difficult, and a challenge lies in the effort required of parents and educators to quickly prepare picture books that are appropriate for children's interests and age.

[0430] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0431] In this invention, the server includes means for receiving personalized information from a parent or educator, means for automatically creating story data using a generative AI model, and means for generating visual data based on the generated story data. This makes it possible to quickly generate and provide original digital picture books tailored to individual children.

[0432] "Personalized information" refers to information provided by parents or educators about a child's age, interests, and special needs.

[0433] "Original story data" refers to data of unique stories tailored to each child, generated based on individualized information.

[0434] A "generative AI model" is an artificial intelligence system that learns from past data and story patterns and automatically generates narratives and visual elements based on specific conditions.

[0435] "Visual data" refers to illustration data such as characters and backgrounds that correspond to the generated story.

[0436] "Electronic media" refers to digital content that integrates narrative data and visual data, and is provided as a picture book that can be displayed on electronic devices.

[0437] The system in this invention allows parents or educators to easily generate personalized picture books for children. The user (parent or educator) first accesses a dedicated picture book generation system through their device. The device is connected to the internet and can input personalized information provided by the user. This information includes the child's age, interests, and special requests.

[0438] The terminal sends the entered personalized information to the server. The server analyzes the entered information using a powerful generative AI model and generates original story data based on it. The generative AI model has learned from a large amount of historical data and story patterns, and has the ability to create stories optimized for children.

[0439] Once the story data is generated, the server uses the generation AI model again to generate visual data (illustrations) that match the story. This visual data visually represents the characters and scenes of the story, providing the reader with a consistent narrative experience.

[0440] The server then integrates the story data and visual data to create a digital picture book as an electronic medium. This digital picture book uses an easy-to-read font size and appropriate page layout, making it suitable for use by parents and children together.

[0441] Finally, the server sends the completed digital picture book to the user's device. The user can then receive the e-book on their device and enjoy it with their child. For example, by using a prompt such as, "Generate a dinosaur-themed adventure story for a 5-year-old," it is possible to obtain an AI-generated picture book in a short amount of time.

[0442] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0443] Step 1:

[0444] The user accesses the picture book generation system using a device. The user enters personalized information into the interface on the device. The entered data includes the child's age, themes of interest, and special requests. The device compiles this information and sends it to the server.

[0445] Step 2:

[0446] The server receives personalized information sent by the terminal. The server then activates a generative AI model and converts the received personalized information into a prompt. This prompt is used to give specific instructions to the AI ​​model. For example, it might say, "Generate a dinosaur-themed adventure story for a 5-year-old."

[0447] Step 3:

[0448] The server generates narrative data from prompt text using a generative AI model. Based on the received instructions, the AI ​​model extracts patterns from a trained database and creates a story that suits the specified conditions. This process involves data manipulation and calculations.

[0449] Step 4:

[0450] The server uses the generated AI model to create visual data (illustrations) based on the generated story data. Illustrations are automatically created based on the characters and scenes of the generated story. This ensures consistency between the story and the visual data.

[0451] Step 5:

[0452] The server combines story data and visual data to create a digital picture book in electronic format. Font size and page layout are automatically adjusted, taking into consideration its use for bedtime stories and educational purposes.

[0453] Step 6:

[0454] The server sends the completed digital picture book to the user's device. The user can then open the picture book on their device and enjoy reading time with their child. Through this seamless process, the user can receive personalized content.

[0455] (Application Example 1)

[0456] Next, we will explain Application Example 1. In the following explanation, 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."

[0457] The challenge lies in not only rapidly and effectively generating customizable stories and illustrations, but also providing them as physical objects, enabling parents and educators to offer children personalized educational experiences. To solve this challenge, a system is needed that automates the entire process from generating digital data to creating physical media.

[0458] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0459] In this invention, the server includes a device for receiving input information, a device for creating generated data based on the received input information, a device for constructing a story based on the generated data, a device for generating visual data based on the constructed story, a device for combining the story and visual data to form an electronic medium, a device for transmitting the formed electronic medium, and a device for physically generating the formed object using a transport unit control device. This makes it possible to generate an original digital picture book and simultaneously bind its contents into a physical medium and provide it to the user.

[0460] "Input information" refers to data that users provide to the system, and this includes personalized information such as age information and theme information.

[0461] "Generated data" refers to the basic data created by AI models and other systems based on received input information, and is used to construct narratives and visual data.

[0462] "Visual data" refers to visual representations such as images and illustrations that correspond to a constructed narrative, and is generated to effectively complement the content of the story.

[0463] "Electronic media" refers to a medium in which information is stored in digital format, and in this invention, it refers to a digital picture book in which story and visual data are integrated.

[0464] A "transportation unit" refers to a unit or unit used when handling physical media within a manufacturing process, and is used in the processes of bookbinding and delivery.

[0465] A "control device" is a device that manages and adjusts the operation of each device or unit within a system, enabling integrated operation of the entire system.

[0466] A system for realizing this invention includes a user, a terminal, and a server configuration.

[0467] The user first accesses the system using a terminal. The terminal has an input interface where the user can enter information such as the child's age, areas of interest, and other customization requirements. This information is then sent from the terminal to the server.

[0468] The server processes the received input information and uses a generative AI model to generate a story. This generative AI model is trained on past data and story patterns and generates original stories tailored to the specified theme and age group. Next, the AI ​​model is used again to generate visual data, i.e., illustrations, based on the generated story.

[0469] The generated stories and illustrations are combined on a server to form an electronic medium. This electronic medium is then bound into a physical book by a transport unit. In this process, a control device operates the bookbinding equipment to quickly and efficiently produce a physical picture book.

[0470] Ultimately, the completed picture books will be delivered to users and used for reading and learning time with their children. The hardware used in this system includes embedded computers such as Raspberry Pi and bookbinding equipment, while the software used includes ROS (Robot Operating System) and generative AI models.

[0471] As a concrete example, if you select "5 years old" and "space" as the themes, you would input the following prompt into the generating AI: "User input: Generate a story with a space theme for a 5-year-old, depicting an adventure with interesting characters." This will generate the corresponding story.

[0472] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0473] Step 1:

[0474] Users access the system using a terminal and enter information such as their child's age and areas of interest through an input interface. This input information is stored in the terminal's database and prepared to be sent to the server.

[0475] Step 2:

[0476] The terminal sends the information entered by the user to the server. The server receives this data, converts it to the required format, and creates prompts for input into the generated AI model. The input is the user's input information, and the output is the prompt text.

[0477] Step 3:

[0478] The server uses a generative AI model to generate a story based on the prompt. In this process, the AI ​​model uses past data and story patterns to generate content appropriate for the specified theme and age. The input is the prompt, and the output is the generated story.

[0479] Step 4:

[0480] The server uses the AI ​​model again to generate visual data, i.e., illustrations, based on the generated story. In this step, images that match the characters and setting of the story are automatically generated. The input is the generated story, and the output is the visual data.

[0481] Step 5:

[0482] The server combines story and visual data to form an electronic medium. This electronic medium ultimately takes the form of a digital picture book to be delivered to the user. The input is story and visual data, and the output is the electronic medium.

[0483] Step 6:

[0484] After the electronic media is formed, the server uses the transport unit's control device to bind it as physical media. In this process, bookbinding equipment is operated and a physical picture book is created. The input is electronic media, and the output is physical media.

[0485] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0486] This invention relates to a system that allows parents or educators to provide children with emotionally tailored, customized picture books. The system enables users to generate and obtain original, emotion-based stories by performing a series of processes through their own devices.

[0487] First, the user accesses the system using a device and enters information to customize the picture book. This information includes the child's age, themes of interest, and any special requests. The system also incorporates an emotion engine that can recognize the user's emotions during input. The emotion engine analyzes the user's emotions through voice input and other means, identifying emotions such as joy, surprise, and sadness.

[0488] The input information and emotional data are sent from the terminal to the server. The server analyzes this data and uses a generative AI model to create an original story that corresponds to the emotions in the text. The emotional data is reflected in the story's content, generating a story that matches the user's background emotions.

[0489] Once the story is complete, the server uses AI again to automatically generate illustrations that match it. In this process, colors and designs that match the emotional expression are adopted for the illustrations. Once the story and illustrations are complete, the server combines them digitally to form the final digital picture book.

[0490] The server then sends the completed digital picture book to the user's device. The user can then view the received digital picture book with their child and enjoy a heartwarming reading experience together through emotionally resonant content.

[0491] For example, if a user requests a children's adventure-themed picture book with the emotion of "surprise," the AI ​​will generate a story incorporating elements of surprise and provide visually expressive illustrations for the surprising scenes. In this way, a customized picture book is reliably provided that incorporates not only textual information but also emotions.

[0492] The following describes the processing flow.

[0493] Step 1:

[0494] Users access the system using a device and enter information to customize the picture book. An interface is provided for describing the child's age, themes of interest, and any special requests. Users can also express their emotions through voice input.

[0495] Step 2:

[0496] The terminal sends data entered by the user to the server. This data includes not only text information but also audio data. The audio data is important for analyzing the user's emotional state.

[0497] Step 3:

[0498] The server analyzes the received data and uses an emotion engine to identify the user's emotions from the voice data. The emotion engine analyzes voice features to identify emotions such as joy, surprise, and sadness.

[0499] Step 4:

[0500] When an emotion is recognized by the server, a generative AI model is activated, and a story is generated based on the input theme, age information, and emotional information. The recognized emotion is incorporated as an important element within the story.

[0501] Step 5:

[0502] The server automatically generates illustrations using AI based on the generated story. During this process, colors and designs are selected to match the emotional tone of the story. The illustrations are crucial for visually representing the atmosphere of the story.

[0503] Step 6:

[0504] The server combines the story and illustrations to create a digital picture book. The digital format is then designed for readability, with adjustments to page layout, fonts, and other elements.

[0505] Step 7:

[0506] The server sends the completed digital picture book to the device. The user receives the picture book in real time and can immediately check its contents.

[0507] Step 8:

[0508] Users open the digital picture book received on their device and enjoy the content together with their children. The emotionally sensitive story and illustrations support a time of learning and enjoyment for parents and children.

[0509] (Example 2)

[0510] Next, we will describe Example 2. 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."

[0511] Traditional picture book creation systems have presented challenges in that it is difficult for users to create customized stories based on individual emotions, and the generated story content and visual presentation are not always optimized to children's interests and emotions. As a result, it has been difficult for users to share a consistent and heartwarming reading experience with their children.

[0512] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0513] In this invention, the server includes means for receiving information from users, means for analyzing emotional data based on the received information, and means for generating a story based on the emotional data. This makes it possible to create customized picture books that respond to emotions.

[0514] A "user" is an entity that accesses the system and provides information for the creation of picture books.

[0515] "Information" refers to data including age information, subject information, and other special requests necessary for customizing the picture book.

[0516] "Emotional data" refers to data obtained by analyzing the emotional state of users, and is an element that is considered when generating narratives.

[0517] A "generation method" is a process that has the function of creating a story based on received information and emotional data.

[0518] "Visual representation" refers to illustrations and graphic materials created to complement the generated narrative.

[0519] "Digital media" refers to digital content that integrates narrative and visual expression, and can be viewed on the user's device.

[0520] "Means of transmission" refers to communication functions used to provide the created digital medium to the user.

[0521] This invention is a system for users to create customized picture books through their own devices. The system has the function of analyzing emotional data based on input information from the user and generating a story and visual representation based on that data.

[0522] Users access the system using a device and input customization information for children's picture books. This information includes the child's age, areas of interest, and any special requests. Furthermore, users input emotions via voice through the device, which are then analyzed by an emotion engine. This emotion engine uses voice recognition software to identify specific emotions such as joy, surprise, and sadness.

[0523] The collected information and emotional data are sent from the terminal to the server. The server analyzes this data and creates prompt sentences using a generative AI model. Based on these prompt sentences, an original story optimized for the user's emotions and theme is generated. Based on the generated story, the server automatically generates visual representations using AI technology. In this process, colors and designs that match the emotions are applied.

[0524] Once the story and visual representation are complete, the server integrates them digitally to generate the final digital picture book. This digital picture book is then sent to the user's device, allowing the user and their child to enjoy a rich and emotional reading experience.

[0525] As a concrete example, one prompt might be, "Create a picture book for a 5-year-old child, themed around a pirate adventure, incorporating feelings of surprise and joy." Based on this prompt, the AI ​​constructs a story incorporating elements of surprise and generates corresponding visual representations. This allows users to provide a heartwarming experience through a customized picture book for children.

[0526] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0527] Step 1:

[0528] The user accesses the system using a terminal and enters information to customize the picture book. This information includes the child's age, themes of interest, and special requests. The terminal collects this information as data and prepares it for processing. Specifically, the user enters the required information into a form on the screen and presses the submit button.

[0529] Step 2:

[0530] The device utilizes voice input functionality to capture the user's emotions. When the user inputs an emotion via voice, the device collects the voice data and sends it to the emotion engine. The emotion engine uses speech recognition technology to analyze the voice data and identify emotions such as joy, surprise, and sadness. The identified emotion data is returned to the device from the emotion engine in text format.

[0531] Step 3:

[0532] The terminal sends information entered by the user and sentiment data obtained from the sentiment engine to the server. This data includes user customization information and sentiment information, which arrive at the server as prompt messages. Specifically, the terminal sends this data to the server in packet form via the network connection.

[0533] Step 4:

[0534] The server receives the prompt message sent from the terminal and begins analysis. Based on the analysis results, the server provides input to a generative AI model, which generates an original story that aligns with the user's emotions and themes. In this process, the generative AI model processes the prompt message, determines the story's structure, and outputs the story as text.

[0535] Step 5:

[0536] The server then initiates the process of generating visual representations based on the generated story. The server again utilizes AI technology to automatically generate illustrations that match the story. During this process, colors and designs corresponding to emotions are selected, and image data representing the visual representation is output.

[0537] Step 6:

[0538] The server integrates the generated story and visual representation to form a digital picture book. Specifically, the server edits this text data and image data and packages it as a single digital picture book. Next, it prepares to send the completed digital picture book to the user's device.

[0539] Step 7:

[0540] The server sends the completed digital picture book to the user's device. The user receives the picture book on their device and enjoys it with their child. This transmission includes providing a download link for the digital medium or a directly viewable interface. Specifically, the user can receive a notification, open the picture book, and begin the shared experience.

[0541] (Application Example 2)

[0542] Next, we will explain application example 2. In the following explanation, 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."

[0543] Traditional digital picture book generation systems only allowed users to customize stories based on their child's age and interests, making it difficult to provide stories that reflected the user's current emotions. Furthermore, they lacked an integrated virtual store for effectively previewing and ultimately purchasing these digital picture books. This made it challenging to provide an emotionally tailored reading experience that fosters a stronger parent-child bond.

[0544] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0545] In this invention, the server includes means for receiving input from a parent, means for creating generated data based on the received input, and means for analyzing the user's emotions and customizing the digital medium considering the analysis results. This allows for the automatic generation of stories and illustrations that are appropriate to the user's emotions, which can then be previewed and purchased within the virtual store.

[0546] "Means for receiving input from parents" refers to a device or method for receiving input information provided by a parent or educator through a digital device.

[0547] "Generative means for creating generated data" refers to a device or method that creates data that forms the basis of a story based on received input information.

[0548] "Means of constructing a narrative" refers to a device or method that uses generated data to form a logical narrative flow.

[0549] "Means for generating illustrations" refers to a device or method for creating illustrations to visually represent a constructed story.

[0550] "Means of forming a digital medium" refers to a device or method that combines a story and illustrations into a single digital medium.

[0551] "Means for transmitting a formed digital medium" refers to an apparatus or method for transmitting a completed digital picture book to other digital devices or platforms.

[0552] "Means for analyzing user emotions" refers to a device or method for evaluating an emotional state based on information and responses provided by the user to the system.

[0553] "Means for making digital media available for preview and purchase within a virtual store" refers to a device or method that provides a process for customers to check, select, and purchase digital media online.

[0554] The system for implementing the invention is configured to provide parents or educators with emotionally-based, customized picture books for their children. Users access the application using a digital device such as a smartphone or tablet and provide their current emotional state via voice or touch input, along with the child's age, areas of interest, and special requests, using the input screen displayed on the device. Based on this, an emotion analysis engine analyzes the user's emotions and extracts emotional data such as "joy" or "surprise."

[0555] The device sends user input information and emotional data to a server in the cloud. The server utilizes generative AI models such as Google Cloud AI and Amazon SageMaker to generate a story based on the input information. The story's development and setting take into account the user's emotions, and the story's content reflects those emotions. Subsequently, the AI ​​generates illustrations suitable for the story, and emotion-based colors and designs are adopted for the visual elements.

[0556] Ultimately, the server integrates the story and illustrations to create data in the form of a digital picture book and sends it to the user's device. This digital picture book can be previewed within the virtual store application, and can be shared and purchased by parents and children. The virtual store also offers users a variety of picture book options, increasing their freedom of choice.

[0557] As a concrete example, let's say a user requests a picture book with the themes of "surprise" and "adventure." In this case, the AI ​​will generate an adventure story filled with unexpected events and create dynamic illustrations to match. Possible prompts for this would be instructions such as, "Please create a story for a 5-year-old, with a theme of surprise and adventure. The story should include elements of surprise and lively illustrations."

[0558] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0559] Step 1:

[0560] Users input information such as their child's age, interests, special requests, and their own emotional state through a smartphone application. Input can be via text or voice input for sentiment analysis. Users enter this information into the application on their device and send the data to the server.

[0561] Step 2:

[0562] The device sends the user-entered information and emotional data to a server in the cloud. At this point, the input data is structured as user information and converted into the necessary format for use in the next process.

[0563] Step 3:

[0564] The server utilizes a cloud-based emotion analysis engine to identify emotions such as joy, surprise, and sadness from voice data and text provided by the user. The emotion engine then evaluates the user's emotions numerically and categorically, generating emotion data as output.

[0565] Step 4:

[0566] The server utilizes a generative AI model to automatically generate stories based on user information and emotional data. Specifically, the story is structured according to the input theme and emotions, and the AI ​​model creates the story outline and detailed storyline. The story is generated dynamically based on the input data.

[0567] Step 5:

[0568] Based on the generated story, the server uses AI to create illustrations that match its content. The image generation model prepares the most suitable visuals for each scene and character in the story, and processes them so that the emotions are reflected in the colors and design.

[0569] Step 6:

[0570] The server combines the generated story and illustrations to form a digital medium. It integrates the story text with corresponding illustrations to create a digital picture book file. This data is optimized for display on the user's device.

[0571] Step 7:

[0572] The completed digital picture book is sent from the server to the user's device. The user can preview the picture book on their device and purchase and download it as needed through the virtual store function. The picture book is used to provide enjoyment for parents and children.

[0573] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0574] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0575] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0576] [Fourth Embodiment]

[0577] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0578] As shown in Figure 7, the 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.

[0579] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0580] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0581] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0582] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0583] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0584] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0585] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0586] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0587] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0588] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0589] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0590] This invention relates to a system for parents or educators to provide children with customized picture books. This system primarily involves a process in which a parent or educator (hereinafter referred to as "user") accesses the system through their own device and generates and obtains an original picture book through the following steps.

[0591] First, the user accesses the system using a terminal. The system provides a user interface where the user can input information such as the child's age, areas of interest, and even special requests. This input information is used as the basis for the stories and illustrations that the system generates.

[0592] Next, the device sends the entered information to the server. The server uses a powerful generative AI model to generate an original story based on the received information. The AI ​​model has learned from past data and story patterns, and can automatically create content that matches the specified theme and age. In this process, care is taken to ensure that the story is educational and child-friendly.

[0593] After the story is generated, the server uses AI again to generate illustrations that match the story. The illustration generation process creates visual representations based on the story's characters and setting. This step ensures consistency between the story and the illustrations.

[0594] The server then combines the generated story and illustrations to complete a digital picture book. This digital picture book uses an easy-to-read font size and appropriate page layout, making it enjoyable for parents and children to read together.

[0595] Finally, the completed digital picture book is sent from the server to the user's device. The user can then share the received digital picture book with their child, allowing them to enjoy learning and fun reading time together.

[0596] For example, for a 5-year-old child who loves dinosaurs, simply inputting "5 years old" and "dinosaurs" allows the AI ​​to automatically generate and provide a picture book containing an adventurous story and cute dinosaur illustrations. In this way, users can quickly obtain educational content tailored to their child's needs.

[0597] The following describes the processing flow.

[0598] Step 1:

[0599] Users use their devices to input information to customize the picture book. Specifically, they enter the child's age, themes of interest, and special requests (e.g., lessons or characters) into input fields. This information serves as the basis for the system to generate the original story and illustrations.

[0600] Step 2:

[0601] The terminal sends the entered information to the server. The transmission takes place over the network, and the data is verified to ensure its accuracy.

[0602] Step 3:

[0603] The server analyzes the received information and activates the AI ​​model. The AI ​​model begins generating a story based on the input. Specifically, it uses theme and age information to structure the story and create character settings, adapting it to content suitable for children.

[0604] Step 4:

[0605] Based on a story generated on the server, AI is used to automatically generate illustrations. Here, illustrations are created that match the characters and scenes appearing in the story. The AI ​​refers to language and image matching data to select appropriate visual elements.

[0606] Step 5:

[0607] The server integrates the story and illustrations to create a digital picture book. Page layouts are adjusted and design elements are optimized to create an easy-to-read and user-friendly digital medium.

[0608] Step 6:

[0609] The server sends the completed digital picture book to the device. Since the transmission is done in real time, the user can view the picture book immediately.

[0610] Step 7:

[0611] Users can view the digital picture books received on their devices and read them together with their children. This allows for use in parent-child reading sessions and learning activities.

[0612] (Example 1)

[0613] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0614] Providing personalized educational content for children is difficult, and a challenge lies in the effort required of parents and educators to quickly prepare picture books that are appropriate for children's interests and age.

[0615] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0616] In this invention, the server includes means for receiving personalized information from a parent or educator, means for automatically creating story data using a generative AI model, and means for generating visual data based on the generated story data. This makes it possible to quickly generate and provide original digital picture books tailored to individual children.

[0617] "Personalized information" refers to information provided by parents or educators about a child's age, interests, and special needs.

[0618] "Original story data" refers to data of unique stories tailored to each child, generated based on individualized information.

[0619] A "generative AI model" is an artificial intelligence system that learns from past data and story patterns and automatically generates narratives and visual elements based on specific conditions.

[0620] "Visual data" refers to illustration data such as characters and backgrounds that correspond to the generated story.

[0621] "Electronic media" refers to digital content that integrates narrative data and visual data, and is provided as a picture book that can be displayed on electronic devices.

[0622] The system in this invention allows parents or educators to easily generate personalized picture books for children. The user (parent or educator) first accesses a dedicated picture book generation system through their device. The device is connected to the internet and can input personalized information provided by the user. This information includes the child's age, interests, and special requests.

[0623] The terminal sends the entered personalized information to the server. The server analyzes the entered information using a powerful generative AI model and generates original story data based on it. The generative AI model has learned from a large amount of historical data and story patterns, and has the ability to create stories optimized for children.

[0624] Once the story data is generated, the server uses the generation AI model again to generate visual data (illustrations) that match the story. This visual data visually represents the characters and scenes of the story, providing the reader with a consistent narrative experience.

[0625] The server then integrates the story data and visual data to create a digital picture book as an electronic medium. This digital picture book uses an easy-to-read font size and appropriate page layout, making it suitable for use by parents and children together.

[0626] Finally, the server sends the completed digital picture book to the user's device. The user can then receive the e-book on their device and enjoy it with their child. For example, by using a prompt such as, "Generate a dinosaur-themed adventure story for a 5-year-old," it is possible to obtain an AI-generated picture book in a short amount of time.

[0627] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0628] Step 1:

[0629] The user accesses the picture book generation system using a device. The user enters personalized information into the interface on the device. The entered data includes the child's age, themes of interest, and special requests. The device compiles this information and sends it to the server.

[0630] Step 2:

[0631] The server receives personalized information sent by the terminal. The server then activates a generative AI model and converts the received personalized information into a prompt. This prompt is used to give specific instructions to the AI ​​model. For example, it might say, "Generate a dinosaur-themed adventure story for a 5-year-old."

[0632] Step 3:

[0633] The server generates narrative data from prompt text using a generative AI model. Based on the received instructions, the AI ​​model extracts patterns from a trained database and creates a story that suits the specified conditions. This process involves data manipulation and calculations.

[0634] Step 4:

[0635] The server uses the generated AI model to create visual data (illustrations) based on the generated story data. Illustrations are automatically created based on the characters and scenes of the generated story. This ensures consistency between the story and the visual data.

[0636] Step 5:

[0637] The server combines story data and visual data to create a digital picture book in electronic format. Font size and page layout are automatically adjusted, taking into consideration its use for bedtime stories and educational purposes.

[0638] Step 6:

[0639] The server sends the completed digital picture book to the user's device. The user can then open the picture book on their device and enjoy reading time with their child. Through this seamless process, the user can receive personalized content.

[0640] (Application Example 1)

[0641] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0642] The challenge lies in not only rapidly and effectively generating customizable stories and illustrations, but also providing them as physical objects, enabling parents and educators to offer children personalized educational experiences. To solve this challenge, a system is needed that automates the entire process from generating digital data to creating physical media.

[0643] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0644] In this invention, the server includes a device for receiving input information, a device for creating generated data based on the received input information, a device for constructing a story based on the generated data, a device for generating visual data based on the constructed story, a device for combining the story and visual data to form an electronic medium, a device for transmitting the formed electronic medium, and a device for physically generating the formed object using a transport unit control device. This makes it possible to generate an original digital picture book and simultaneously bind its contents into a physical medium and provide it to the user.

[0645] "Input information" refers to data that users provide to the system, and this includes personalized information such as age information and theme information.

[0646] "Generated data" refers to the basic data created by AI models and other systems based on received input information, and is used to construct narratives and visual data.

[0647] "Visual data" refers to visual representations such as images and illustrations that correspond to a constructed narrative, and is generated to effectively complement the content of the story.

[0648] "Electronic media" refers to a medium in which information is stored in digital format, and in this invention, it refers to a digital picture book in which story and visual data are integrated.

[0649] A "transportation unit" refers to a unit or unit used when handling physical media within a manufacturing process, and is used in the processes of bookbinding and delivery.

[0650] A "control device" is a device that manages and adjusts the operation of each device or unit within a system, enabling integrated operation of the entire system.

[0651] A system for realizing this invention includes a user, a terminal, and a server configuration.

[0652] The user first accesses the system using a terminal. The terminal has an input interface where the user can enter information such as the child's age, areas of interest, and other customization requirements. This information is then sent from the terminal to the server.

[0653] The server processes the received input information and uses a generative AI model to generate a story. This generative AI model is trained on past data and story patterns and generates original stories tailored to the specified theme and age group. Next, the AI ​​model is used again to generate visual data, i.e., illustrations, based on the generated story.

[0654] The generated stories and illustrations are combined on a server to form an electronic medium. This electronic medium is then bound into a physical book by a transport unit. In this process, a control device operates the bookbinding equipment to quickly and efficiently produce a physical picture book.

[0655] Ultimately, the completed picture books will be delivered to users and used for reading and learning time with their children. The hardware used in this system includes embedded computers such as Raspberry Pi and bookbinding equipment, while the software used includes ROS (Robot Operating System) and generative AI models.

[0656] As a concrete example, if you select "5 years old" and "space" as the themes, you would input the following prompt into the generating AI: "User input: Generate a story with a space theme for a 5-year-old, depicting an adventure with interesting characters." This will generate the corresponding story.

[0657] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0658] Step 1:

[0659] Users access the system using a terminal and enter information such as their child's age and areas of interest through an input interface. This input information is stored in the terminal's database and prepared to be sent to the server.

[0660] Step 2:

[0661] The terminal sends the information entered by the user to the server. The server receives this data, converts it to the required format, and creates prompts for input into the generated AI model. The input is the user's input information, and the output is the prompt text.

[0662] Step 3:

[0663] The server uses a generative AI model to generate a story based on the prompt. In this process, the AI ​​model uses past data and story patterns to generate content appropriate for the specified theme and age. The input is the prompt, and the output is the generated story.

[0664] Step 4:

[0665] The server uses the AI ​​model again to generate visual data, i.e., illustrations, based on the generated story. In this step, images that match the characters and setting of the story are automatically generated. The input is the generated story, and the output is the visual data.

[0666] Step 5:

[0667] The server combines story and visual data to form an electronic medium. This electronic medium ultimately takes the form of a digital picture book to be delivered to the user. The input is story and visual data, and the output is the electronic medium.

[0668] Step 6:

[0669] After the electronic media is formed, the server uses the transport unit's control device to bind it as physical media. In this process, bookbinding equipment is operated and a physical picture book is created. The input is electronic media, and the output is physical media.

[0670] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0671] This invention relates to a system that allows parents or educators to provide children with emotionally tailored, customized picture books. The system enables users to generate and obtain original, emotion-based stories by performing a series of processes through their own devices.

[0672] First, the user accesses the system using a device and enters information to customize the picture book. This information includes the child's age, themes of interest, and any special requests. The system also incorporates an emotion engine that can recognize the user's emotions during input. The emotion engine analyzes the user's emotions through voice input and other means, identifying emotions such as joy, surprise, and sadness.

[0673] The input information and emotional data are sent from the terminal to the server. The server analyzes this data and uses a generative AI model to create an original story that corresponds to the emotions in the text. The emotional data is reflected in the story's content, generating a story that matches the user's background emotions.

[0674] Once the story is complete, the server uses AI again to automatically generate illustrations that match it. In this process, colors and designs that match the emotional expression are adopted for the illustrations. Once the story and illustrations are complete, the server combines them digitally to form the final digital picture book.

[0675] The server then sends the completed digital picture book to the user's device. The user can then view the received digital picture book with their child and enjoy a heartwarming reading experience together through emotionally resonant content.

[0676] For example, if a user requests a children's adventure-themed picture book with the emotion of "surprise," the AI ​​will generate a story incorporating elements of surprise and provide visually expressive illustrations for the surprising scenes. In this way, a customized picture book is reliably provided that incorporates not only textual information but also emotions.

[0677] The following describes the processing flow.

[0678] Step 1:

[0679] Users access the system using a device and enter information to customize the picture book. An interface is provided for describing the child's age, themes of interest, and any special requests. Users can also express their emotions through voice input.

[0680] Step 2:

[0681] The terminal sends data entered by the user to the server. This data includes not only text information but also audio data. The audio data is important for analyzing the user's emotional state.

[0682] Step 3:

[0683] The server analyzes the received data and uses an emotion engine to identify the user's emotions from the voice data. The emotion engine analyzes voice features to identify emotions such as joy, surprise, and sadness.

[0684] Step 4:

[0685] When an emotion is recognized by the server, a generative AI model is activated, and a story is generated based on the input theme, age information, and emotional information. The recognized emotion is incorporated as an important element within the story.

[0686] Step 5:

[0687] The server automatically generates illustrations using AI based on the generated story. During this process, colors and designs are selected to match the emotional tone of the story. The illustrations are crucial for visually representing the atmosphere of the story.

[0688] Step 6:

[0689] The server combines the story and illustrations to create a digital picture book. The digital format is then designed for readability, with adjustments to page layout, fonts, and other elements.

[0690] Step 7:

[0691] The server sends the completed digital picture book to the device. The user receives the picture book in real time and can immediately check its contents.

[0692] Step 8:

[0693] Users open the digital picture book received on their device and enjoy the content together with their children. The emotionally sensitive story and illustrations support a time of learning and enjoyment for parents and children.

[0694] (Example 2)

[0695] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0696] Traditional picture book creation systems have presented challenges in that it is difficult for users to create customized stories based on individual emotions, and the generated story content and visual presentation are not always optimized to children's interests and emotions. As a result, it has been difficult for users to share a consistent and heartwarming reading experience with their children.

[0697] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0698] In this invention, the server includes means for receiving information from users, means for analyzing emotional data based on the received information, and means for generating a story based on the emotional data. This makes it possible to create customized picture books that respond to emotions.

[0699] A "user" is an entity that accesses the system and provides information for the creation of picture books.

[0700] "Information" refers to data including age information, subject information, and other special requests necessary for customizing the picture book.

[0701] "Emotional data" refers to data obtained by analyzing the emotional state of users, and is an element that is considered when generating narratives.

[0702] A "generation method" is a process that has the function of creating a story based on received information and emotional data.

[0703] "Visual representation" refers to illustrations and graphic materials created to complement the generated narrative.

[0704] "Digital media" refers to digital content that integrates narrative and visual expression, and can be viewed on the user's device.

[0705] "Means of transmission" refers to communication functions used to provide the created digital medium to the user.

[0706] This invention is a system for users to create customized picture books through their own devices. The system has the function of analyzing emotional data based on input information from the user and generating a story and visual representation based on that data.

[0707] Users access the system using a device and input customization information for children's picture books. This information includes the child's age, areas of interest, and any special requests. Furthermore, users input emotions via voice through the device, which are then analyzed by an emotion engine. This emotion engine uses voice recognition software to identify specific emotions such as joy, surprise, and sadness.

[0708] The collected information and emotional data are sent from the terminal to the server. The server analyzes this data and creates prompt sentences using a generative AI model. Based on these prompt sentences, an original story optimized for the user's emotions and theme is generated. Based on the generated story, the server automatically generates visual representations using AI technology. In this process, colors and designs that match the emotions are applied.

[0709] Once the story and visual representation are complete, the server integrates them digitally to generate the final digital picture book. This digital picture book is then sent to the user's device, allowing the user and their child to enjoy a rich and emotional reading experience.

[0710] As a concrete example, one prompt might be, "Create a picture book for a 5-year-old child, themed around a pirate adventure, incorporating feelings of surprise and joy." Based on this prompt, the AI ​​constructs a story incorporating elements of surprise and generates corresponding visual representations. This allows users to provide a heartwarming experience through a customized picture book for children.

[0711] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0712] Step 1:

[0713] The user accesses the system using a terminal and enters information to customize the picture book. This information includes the child's age, themes of interest, and special requests. The terminal collects this information as data and prepares it for processing. Specifically, the user enters the required information into a form on the screen and presses the submit button.

[0714] Step 2:

[0715] The device utilizes voice input functionality to capture the user's emotions. When the user inputs an emotion via voice, the device collects the voice data and sends it to the emotion engine. The emotion engine uses speech recognition technology to analyze the voice data and identify emotions such as joy, surprise, and sadness. The identified emotion data is returned to the device from the emotion engine in text format.

[0716] Step 3:

[0717] The terminal sends information entered by the user and sentiment data obtained from the sentiment engine to the server. This data includes user customization information and sentiment information, which arrive at the server as prompt messages. Specifically, the terminal sends this data to the server in packet form via the network connection.

[0718] Step 4:

[0719] The server receives the prompt message sent from the terminal and begins analysis. Based on the analysis results, the server provides input to a generative AI model, which generates an original story that aligns with the user's emotions and themes. In this process, the generative AI model processes the prompt message, determines the story's structure, and outputs the story as text.

[0720] Step 5:

[0721] The server then initiates the process of generating visual representations based on the generated story. The server again utilizes AI technology to automatically generate illustrations that match the story. During this process, colors and designs corresponding to emotions are selected, and image data representing the visual representation is output.

[0722] Step 6:

[0723] The server integrates the generated story and visual representation to form a digital picture book. Specifically, the server edits this text data and image data and packages it as a single digital picture book. Next, it prepares to send the completed digital picture book to the user's device.

[0724] Step 7:

[0725] The server sends the completed digital picture book to the user's device. The user receives the picture book on their device and enjoys it with their child. This transmission includes providing a download link for the digital medium or a directly viewable interface. Specifically, the user can receive a notification, open the picture book, and begin the shared experience.

[0726] (Application Example 2)

[0727] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0728] Traditional digital picture book generation systems only allowed users to customize stories based on their child's age and interests, making it difficult to provide stories that reflected the user's current emotions. Furthermore, they lacked an integrated virtual store for effectively previewing and ultimately purchasing these digital picture books. This made it challenging to provide an emotionally tailored reading experience that fosters a stronger parent-child bond.

[0729] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0730] In this invention, the server includes means for receiving input from a parent, means for creating generated data based on the received input, and means for analyzing the user's emotions and customizing the digital medium considering the analysis results. This allows for the automatic generation of stories and illustrations that are appropriate to the user's emotions, which can then be previewed and purchased within the virtual store.

[0731] "Means for receiving input from parents" refers to a device or method for receiving input information provided by a parent or educator through a digital device.

[0732] "Generative means for creating generated data" refers to a device or method that creates data that forms the basis of a story based on received input information.

[0733] "Means of constructing a narrative" refers to a device or method that uses generated data to form a logical narrative flow.

[0734] "Means for generating illustrations" refers to a device or method for creating illustrations to visually represent a constructed story.

[0735] "Means of forming a digital medium" refers to a device or method that combines a story and illustrations into a single digital medium.

[0736] "Means for transmitting a formed digital medium" refers to an apparatus or method for transmitting a completed digital picture book to other digital devices or platforms.

[0737] "Means for analyzing user emotions" refers to a device or method for evaluating an emotional state based on information and responses provided by the user to the system.

[0738] "Means for making digital media available for preview and purchase within a virtual store" refers to a device or method that provides a process for customers to check, select, and purchase digital media online.

[0739] The system for implementing the invention is configured to provide parents or educators with emotionally-based, customized picture books for their children. Users access the application using a digital device such as a smartphone or tablet and provide their current emotional state via voice or touch input, along with the child's age, areas of interest, and special requests, using the input screen displayed on the device. Based on this, an emotion analysis engine analyzes the user's emotions and extracts emotional data such as "joy" or "surprise."

[0740] The device sends user input information and emotional data to a server in the cloud. The server utilizes generative AI models such as Google Cloud AI and Amazon SageMaker to generate a story based on the input information. The story's development and setting take into account the user's emotions, and the story's content reflects those emotions. Subsequently, the AI ​​generates illustrations suitable for the story, and emotion-based colors and designs are adopted for the visual elements.

[0741] Ultimately, the server integrates the story and illustrations to create data in the form of a digital picture book and sends it to the user's device. This digital picture book can be previewed within the virtual store application, and can be shared and purchased by parents and children. The virtual store also offers users a variety of picture book options, increasing their freedom of choice.

[0742] As a concrete example, let's say a user requests a picture book with the themes of "surprise" and "adventure." In this case, the AI ​​will generate an adventure story filled with unexpected events and create dynamic illustrations to match. Possible prompts for this would be instructions such as, "Please create a story for a 5-year-old, with a theme of surprise and adventure. The story should include elements of surprise and lively illustrations."

[0743] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0744] Step 1:

[0745] Users input information such as their child's age, interests, special requests, and their own emotional state through a smartphone application. Input can be via text or voice input for sentiment analysis. Users enter this information into the application on their device and send the data to the server.

[0746] Step 2:

[0747] The device sends the user-entered information and emotional data to a server in the cloud. At this point, the input data is structured as user information and converted into the necessary format for use in the next process.

[0748] Step 3:

[0749] The server utilizes a cloud-based emotion analysis engine to identify emotions such as joy, surprise, and sadness from voice data and text provided by the user. The emotion engine then evaluates the user's emotions numerically and categorically, generating emotion data as output.

[0750] Step 4:

[0751] The server utilizes a generative AI model to automatically generate stories based on user information and emotional data. Specifically, the story is structured according to the input theme and emotions, and the AI ​​model creates the story outline and detailed storyline. The story is generated dynamically based on the input data.

[0752] Step 5:

[0753] Based on the generated story, the server uses AI to create illustrations that match its content. The image generation model prepares the most suitable visuals for each scene and character in the story, and processes them so that the emotions are reflected in the colors and design.

[0754] Step 6:

[0755] The server combines the generated story and illustrations to form a digital medium. It integrates the story text with corresponding illustrations to create a digital picture book file. This data is optimized for display on the user's device.

[0756] Step 7:

[0757] The completed digital picture book is sent from the server to the user's device. The user can preview the picture book on their device and purchase and download it as needed through the virtual store function. The picture book is used to provide enjoyment for parents and children.

[0758] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0759] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0760] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0761] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0762] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0763] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0764] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0765] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0766] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0767] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0768] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0769] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0770] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0771] 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.

[0772] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0773] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0774] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0775] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0776] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0777] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0778] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0779] The following is further disclosed regarding the embodiments described above.

[0780] (Claim 1)

[0781] A means of receiving input from the parent,

[0782] A generation means that creates generated data based on the received input,

[0783] A means of constructing a story based on generated data,

[0784] A means of generating illustrations based on a constructed story,

[0785] A means of creating digital media by combining stories and illustrations,

[0786] Means for transmitting the formed digital medium,

[0787] A system that includes this.

[0788] (Claim 2)

[0789] The system according to claim 1, which includes age information and theme information in the input from the parent.

[0790] (Claim 3)

[0791] The system according to claim 1, wherein the generation means generates data using an artificial intelligence model.

[0792] "Example 1"

[0793] (Claim 1)

[0794] A means of receiving personalized information from parents or educators,

[0795] A means for generating original story data based on received personalized information,

[0796] A means of automatically creating narrative data using a generative AI model,

[0797] A means for generating visual data based on generated narrative data,

[0798] A means of constructing an electronic medium by integrating narrative data and visual data,

[0799] Means for transmitting the constructed electronic media to a parent's or educator's device,

[0800] A system that includes this.

[0801] (Claim 2)

[0802] The system according to claim 1, wherein the personalized information includes age information and interests.

[0803] (Claim 3)

[0804] The system according to claim 1, which generates narrative data using a generative AI model.

[0805] "Application Example 1"

[0806] (Claim 1)

[0807] A device that receives input information,

[0808] A device that generates data based on received input information,

[0809] A device that constructs a story based on generated data,

[0810] A device that generates visual data based on a constructed narrative,

[0811] A device that combines narratives and visual data to form electronic media,

[0812] A device for transmitting a formed electronic medium,

[0813] A device that physically generates a formed object using a transport unit control device,

[0814] A system that includes this.

[0815] (Claim 2)

[0816] The system according to claim 1, which includes age information and theme information in its input.

[0817] (Claim 3)

[0818] The system according to claim 1, wherein the generating device generates data using an artificial intelligence model.

[0819] "Example 2 of combining an emotion engine"

[0820] (Claim 1)

[0821] Means for receiving information from users,

[0822] A means of analyzing emotional data based on received information,

[0823] A means of generating stories based on emotional data,

[0824] A means of creating visual representations based on generated narratives,

[0825] A means of integrating narrative and visual expression to form a digital medium,

[0826] Means for transmitting the formed digital medium,

[0827] A system that includes this.

[0828] (Claim 2)

[0829] The system according to claim 1, wherein the information from the user includes age information and subject information.

[0830] (Claim 3)

[0831] The system according to claim 1, wherein the generation means generates data using a generation AI model.

[0832] "Application example 2 when combining with an emotional engine"

[0833] (Claim 1)

[0834] A means of receiving input from the parent,

[0835] A generation means that creates generated data based on the received input,

[0836] A means of constructing a story based on generated data,

[0837] A means of generating illustrations based on a constructed story,

[0838] A means of creating digital media by combining stories and illustrations,

[0839] Means for transmitting the formed digital medium,

[0840] A means of analyzing user emotions and customizing digital media based on the analysis results,

[0841] A means of making digital media available for preview and purchase within a virtual store,

[0842] A system that includes this.

[0843] (Claim 2)

[0844] The system according to claim 1, which includes age information and theme information, as well as emotional information, in the input from the parent.

[0845] (Claim 3)

[0846] The system according to claim 1, wherein the generation means generates data using an artificial intelligence model and further customizes the digital media based on the user's emotions. [Explanation of Symbols]

[0847] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of receiving input from the parent, A generation means that creates generated data based on the received input, A means of constructing a story based on generated data, A means of generating illustrations based on a constructed story, A means of creating digital media by combining stories and illustrations, Means for transmitting the formed digital medium, A system that includes this.

2. The system according to claim 1, wherein the input from the parent includes age information and theme information.

3. The system according to claim 1, wherein the generation means generates data using an artificial intelligence model.

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