System

Abstract

A system is provided.SOLUTION: A system, comprising: means for inputting a generation condition; means having a generative AI model that receives the generation condition and generates a picture book story based thereon; means for generating an illustration according to the generated picture book story; means for converting the generated picture book story and illustration into an ebook format; and means for transmitting the converted ebook to a user device.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] The purpose of this invention is to provide a new method for preventing parents and children from becoming bored of reading the same picture book repeatedly when reading aloud to them. Conventional picture books have fixed stories and illustrations, which tend to lose freshness, and parents and children tend to become bored with them, especially when reading them repeatedly over a long period of time. This has been pointed out as making it difficult to continuously stimulate children's curiosity and creativity. [Means for solving the problem]

[0005] The present invention provides a system including a means for inputting generation conditions, a means having a generative AI model that receives the generation conditions and generates a picture book story based on the conditions, a means for generating illustrations corresponding to the generated picture book story, a means for converting the generated picture book story and illustrations into an e-book format, and a means for transmitting the converted e-book to a user's device. The generation conditions may include historical background and characters. The generative AI model generates a new picture book story based on a public domain picture book story. This configuration enables the system to generate a picture book with a different situation each time, providing a fresh and timeless picture book experience.

[0006] The "generation conditions" indicate the parameters necessary for generating a picture book story, and specifically include information such as the historical background and characters.

[0007] A "generative AI model" refers to an artificial intelligence algorithm and program that automatically generates new picture book stories based on input generation conditions.

[0008] The "illustration generating means" is a function or system for generating appropriate illustrations according to the generated picture book story.

[0009] "E-book format" refers to the file format of picture books that can be read digitally, and specifically includes EPUB and PDF.

[0010] "User's device" refers to a device that a user directly operates to download and read e-books, and specifically includes a smartphone, tablet, or PC.

[0011] "Public domain picture book stories" refer to picture book stories that are no longer under copyright and are freely available to anyone. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0013] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0016] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0017] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0018] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0019] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0020] [First embodiment]

[0021] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0022] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0023] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0024] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0025] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0026] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0027] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0028] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0030] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0031] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0032] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0033] The present invention is a system for generating picture book stories based on specific conditions. The system consists of the following main components:

[0034] 1. Generation condition input means (terminal):

[0035] The user uses the device to input the conditions for the picture book to be created. Specifically, they fill in information such as the historical setting and characters in an input form. For example, the user selects "Historical setting: future" and "Characters: robots."

[0036] 2. Conditional receiving and analysis means (server):

[0037] The conditions entered by the user are sent from the device to the server, which receives them and parses them in an appropriate format. The results of this analysis are prepared as parameters for use by the generative AI model.

[0038] 3. Generative AI model means (server):

[0039] The generative AI model installed on the server generates new picture book stories based on the analyzed conditions. For example, a new story about a robot in a future world could be generated based on the public domain story of "Little Red Riding Hood."

[0040] 4. Illustration generation means (server):

[0041] The generative AI model creates illustrations based on the generated story, for example, an illustration depicting a "future cityscape" and a "robot protagonist."

[0042] 5. E-book format conversion means (server):

[0043] The server converts the generated story and illustrations into e-book formats, such as EPUB and PDF, and arranges the generated story and illustrations according to a predefined template.

[0044] 6. Transmission method to user terminal (server):

[0045] The generated e-book file is sent from the server to the user's device, and the user can download and view the e-book by clicking the link.

[0046] Specific examples

[0047] For example, suppose a user enters the following conditions: "Historical setting: Middle Ages" and "Character: Dragon." The user enters these conditions into the device interface and clicks the "Generate" button. The device then sends the entered conditions to the server in JSON format.

[0048] The server analyzes the received JSON data and has the generative AI model generate a new picture book story based on the "Middle Ages" and "dragons." For example, based on the story of "Little Red Riding Hood," a new story set in a medieval world with a dragon as the main character is generated. At the same time, the AI ​​creates new illustrations featuring a medieval castle and a dragon as the main character.

[0049] These generated stories and illustrations are converted into e-book format and sent from the server to the user's device. The user can download the generated e-book and start reading it on their e-reader. For example, they can enjoy an adventure picture book set in the Middle Ages with a dragon as the main character.

[0050] This system allows users to easily create fresh, different picture books each time and enjoy reading them aloud or as a book.

[0051] The processing flow will be explained below.

[0052] Step 1:

[0053] The user accesses the device and opens the interface of the picture book generation site. The user enters the generation conditions (for example, historical setting and characters) into an input form. The conditions entered are "Historical setting: future" and "Characters: robots."

[0054] Step 2:

[0055] The device packages the creation conditions entered by the user in JSON format, including information on the historical background and characters, and sends the packaged JSON data to the server via an API endpoint.

[0056] Step 3:

[0057] The server analyzes the received JSON data. Specifically, it breaks down the data and determines that the time period is "future" and the characters are "robots." Based on this, the server sets the parameters to be passed to the generative AI model.

[0058] Step 4:

[0059] The generative AI model generates a new picture book story based on parameters (time setting: future, characters: robots) passed from the server. For example, based on the public domain "Little Red Riding Hood," it generates a new story in which a robot is the protagonist in a future world.

[0060] Step 5:

[0061] The generative AI model generates illustrations to fit a new story, specifically depicting a "future cityscape" and a "robot protagonist." These illustrations are generated to perfectly match the user-specified criteria.

[0062] Step 6:

[0063] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). This conversion is done according to a template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[0064] Step 7:

[0065] The converted e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[0066] Step 8:

[0067] The device receives the response from the server and displays a download link to the user, who can click on this link to download the e-book file to the device.

[0068] Step 9:

[0069] Users can open the downloaded e-book file in an e-book reader application and start reading. For example, they can enjoy an adventure picture book set in a futuristic world, with a robot as the main character.

[0070] In this way, the system uses generative AI to generate a new picture book based on user input and quickly completes a series of processes to provide it to the user.

[0071] Example 1

[0072] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0073] Previous picture book generation systems lacked the ability to quickly and efficiently generate picture books based on specific user requirements. Furthermore, the process of appropriately combining the generated story and illustrations and converting them into an e-book format required time and effort, making it difficult to immediately meet user needs. Furthermore, they lacked the flexibility to generate new stories based on existing public domain picture book stories in order to provide unique and fresh content.

[0074] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0075] In this invention, the server includes terminal means for a user to input picture book creation conditions, server means for receiving and analyzing the creation conditions sent from the terminal, server means having a generation AI model for creating a picture book story based on the analyzed creation conditions, server means for creating illustrations corresponding to the created picture book story, server means for converting the created picture book story and illustrations into an e-book format, and server means for sending the converted e-book to the user's terminal. This allows a user to instantly create an original picture book based on specific conditions and easily receive it in e-book format.

[0076] The "user" is an entity that uses a terminal means to input the conditions for creating a picture book and receives the created electronic book.

[0077] The "terminal means" refers to a system part including a device and interface for a user to input generation conditions. Specifically, it refers to an electronic device such as a personal computer or smartphone.

[0078] The "server means" is a central control system that receives, analyzes, and processes data sent from the terminals.

[0079] A "generative AI model" is an artificial intelligence algorithm used to generate new picture book stories based on specified generation criteria.

[0080] The "creation conditions" are information input by the user to determine the characteristics of the picture book, and include the historical background and characters.

[0081] "Analysis" is the process by which the server means understands the generation conditions received from the terminal means and converts them into a format that can be used by the generative AI model.

[0082] "Illustrations" are images that add visual elements to the generated picture book story.

[0083] "E-book format" refers to the data format used to convert the generated picture book story and illustrations into a digital format (e.g., EPUB, PDF).

[0084] "Transmission" refers to a data transmission means performed by the server means to provide the generated electronic book to the user's terminal means.

[0085] "Reception" is a process in which the server means acquires the data of the generation conditions sent from the user's terminal means.

[0086] "Conversion" is the process of compiling the generated picture book story and illustrations into an e-book format.

[0087] The present invention is a system for generating picture book stories based on specific conditions, and is composed of the following main components:

[0088] 1. Generation condition input means (terminal)

[0089] The user inputs the conditions for the picture book to be created using a terminal, which is a creation condition input means. This terminal is provided with an interface for the user to input information such as "historical setting" and "characters." For example, the user can input specific conditions such as "historical setting: future" and "characters: robots."

[0090] 2. Conditional reception and analysis method (server)

[0091] The server receives and analyzes the generation conditions sent from the device. These analyzed conditions are prepared as parameters for use by the generative AI model. The server analyzes the generation conditions and formats the data.

[0092] 3. Generative AI model means (server)

[0093] Based on the analyzed conditions, a generative AI model installed on the server generates a new picture book story. For example, based on the conditions "time setting: future" and "characters: robots" entered by the user, it generates a story set in a future world with a robot as the protagonist.

[0094] 4. Illustration generation means (server)

[0095] The server is equipped with a means to create illustrations that correspond to the generated picture book story. The generative AI model generates illustrations that suit the story based on the conditions. For example, it generates specific visual elements such as a "future cityscape" or a "robot protagonist."

[0096] 5. E-book format conversion means (server)

[0097] The server converts the generated picture book story and corresponding illustrations into e-book formats, including EPUB and PDF, and lays them out according to a predefined template.

[0098] 6. Transmission method to user terminal (server)

[0099] The generated e-book file is sent from the server to the user's device, and the user can download and view the e-book by clicking the link.

[0100] Specific examples

[0101] For example, suppose a user inputs the following conditions: "Historical setting: Middle Ages" and "Character: Dragon." After entering these conditions into the device interface, the user clicks the "Generate" button. The device sends the input conditions to the server, which receives and analyzes the data. Based on the analysis results, the generative AI model generates a new picture book story.

[0102] Specifically, a new story set in a medieval world with a dragon as the main character is generated based on the story of Little Red Riding Hood. At the same time, the server generates illustrations of medieval castles and dragons. The generated story and illustrations are converted into e-book format and sent from the server to the user's device.

[0103] Users can download the generated e-book and start reading it on their e-reader, for example, enjoying a medieval picture book adventure with a dragon as the hero.

[0104] Prompt Sentence Examples

[0105] Examples of prompts for generative AI models include:

[0106] "Generate a story set in a futuristic world with a robot protagonist. Include the following details: futuristic cityscape, robot characters, action and adventure."

[0107] This system allows users to easily create fresh, different picture books each time and enjoy reading them aloud or as a book.

[0108] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0109] Step 1:

[0110] The user enters the conditions

[0111] The user inputs the conditions for the picture book to be generated using the device's web interface. The input contents include "historical setting" and "characters." For example, the user enters "future" and "robot" into the input form. The conditions are created in JSON format as input data.

[0112] Specific behavior:

[0113] The user fills in the form with the conditions and clicks the [Generate] button. Once the input is complete, the conditions are compiled in JSON format.

[0114] Input and Output:

[0115] Input: "Historical background" and "Characters" entered by the user

[0116] Output: Input condition data in JSON format

[0117] Step 2:

[0118] The device sends the conditions to the server

[0119] The terminal sends the conditions entered by the user to the server in JSON format. An AJAX request is used, and the data is sent to the server asynchronously.

[0120] Specific behavior:

[0121] The JavaScript code on the device runs, processes the JSON data to be sent, and sends it to the server via an HTTP POST request.

[0122] Input and Output:

[0123] Input: Condition data in JSON format

[0124] Output: HTTP request sent to the server

[0125] Step 3:

[0126] The server receives and analyzes the conditions

[0127] The server receives the JSON data sent from the device and analyzes the conditions. The analysis results are prepared as parameters to be used by the generative AI model.

[0128] Specific behavior:

[0129] The server takes the JSON data from the request body and deserializes it to convert it into structured data.

[0130] Input and Output:

[0131] Input: JSON data received from the terminal

[0132] Output: Parameters for the generative AI model

[0133] Step 4:

[0134] The server generates a picture book story

[0135] The generative AI model installed on the server generates a new picture book story based on the analyzed conditions. To do this, the AI ​​model is given prompts to generate.

[0136] Specific behavior:

[0137] The server passes the prompt to the generative AI model: "Generate a story about a futuristic robot as the protagonist," and the model creates a story based on this instruction.

[0138] Input and Output:

[0139] Input: Prompt (e.g., "Generate a story set in the future with a robot as the protagonist.")

[0140] Output: New picture book story

[0141] Step 5:

[0142] The server generates the illustrations

[0143] The server uses the generative AI model to create illustrations that correspond to the generated picture book story.

[0144] Specific behavior:

[0145] The generative AI model is given the prompt, "Please create an illustration of a futuristic cityscape with a robot protagonist," and the AI ​​generates the illustration.

[0146] Input and Output:

[0147] Input: Prompt (e.g., "Please create an illustration of a futuristic cityscape with a robot protagonist.")

[0148] Output: Generated illustration

[0149] Step 6:

[0150] The server converts it into an e-book format.

[0151] The server combines the generated story and illustrations, converts them into e-book format (EPUB or PDF), and arranges the layout using a template.

[0152] Specific behavior:

[0153] The server integrates the story and illustrations with an e-book tool, sets the layout, and generates an EPUB or PDF file.

[0154] Input and Output:

[0155] Input: Generated picture book story and illustrations

[0156] Output: eBook file in EPUB or PDF format

[0157] Step 7:

[0158] The server sends the e-book to the user's device.

[0159] The server sends the generated e-book file to the user's device, where the user can click a link to download and view the file.

[0160] Specific behavior:

[0161] The server generates a download link for the generated electronic book file and transmits it to the user's terminal.

[0162] Input and Output:

[0163] Input: Generated e-book file

[0164] Output: The download link sent to the user's device.

[0165] (Application example 1)

[0166] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0167] In conventional picture book generation systems, even if users specified multiple conditions at once, the content generated was limited. Furthermore, there was no environment in place for users to easily purchase, download, and immediately view the generated content. Furthermore, the interactive experience within the virtual store was insufficient, preventing an improved user experience. This made it difficult to provide personalized content that met diverse needs.

[0168] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0169] In this invention, the server includes a means for inputting creation conditions, a means having a creation AI model that receives the creation conditions and generates a picture book story based on the creation conditions, and a means for generating illustrations corresponding to the created picture book story. The server also includes a means for converting the created picture book story and illustrations into an e-book format, a means for sending the converted e-book to a user's device, and a means for making the e-book available for purchase and download in a virtual store. This allows users to create customized picture books based on various conditions, and instantly purchase, download, and view them in a virtual store.

[0170] "Generation condition input means" refers to an interface that allows a user to input conditions related to the picture book to be generated (e.g., historical setting, characters, etc.).

[0171] The "condition receiving and analyzing means" is a means for receiving conditions entered by the user, analyzing them, and converting them into a format that can be used by the generative AI model.

[0172] "Generative AI model means" refers to an artificial intelligence model that automatically generates new picture book stories based on the analyzed conditions.

[0173] The "illustration generating means" is a means for automatically generating illustrations according to the generated picture book story.

[0174] The "electronic book format conversion means" is a means for converting the generated picture book story and illustrations into an electronic book format such as EPUB or PDF.

[0175] The "means for transmitting to the user terminal" is a means for transmitting the generated electronic book to the user's terminal.

[0176] "Means for enabling purchase and download within a virtual store" refers to means for enabling users to easily purchase and download the generated e-books within a virtual space.

[0177] The present invention provides a system that generates picture book stories based on specific conditions and allows them to be purchased and downloaded from a virtual store.

[0178] System configuration

[0179] The system consists of the following main components:

[0180] 1. Generation condition input means (user terminal):

[0181] The user inputs the conditions for creating a picture book using an input interface provided on the device. For example, the user may set conditions such as "time setting: future" and "characters: robots."

[0182] 2. Conditional receiving and analysis means (server):

[0183] The conditions entered by the user are sent from the device to the server, which receives them, analyzes them, and converts them into a format that the generative AI model can use, such as JSON.

[0184] 3. Generative AI model means (server):

[0185] The generative AI model installed on the server generates a new picture book story based on the analyzed conditions. A large-scale language model such as GPT-4 is used as the generative AI model.

[0186] 4. Illustration generation means (server):

[0187] The generative AI model generates illustrations based on the generated story. Image generation AI such as DALL-E is used to generate the illustrations.

[0188] 5. E-book format conversion means (server):

[0189] The server converts the generated story and illustrations into e-book formats (EPUB, PDF, etc.) using software such as Calibre.

[0190] 6. Transmission method to user terminal (server):

[0191] The generated e-book file is sent from the server to the user's device, and the user can download the e-book by clicking the link and view it in the virtual store.

[0192] 7. Means for enabling purchases and downloads within the virtual store (user terminals, servers):

[0193] It provides a function that allows users to easily purchase and download generated e-books within the virtual store.

[0194] Specific examples

[0195] For example, a user enters the following conditions: "Historical setting: future" and "Character: robot." The user enters these conditions into the device interface and clicks the "Generate" button. The device then sends the entered conditions to the server in JSON format.

[0196] Prompt Sentence Examples

[0197] "Generate a new picture book story based on the user-entered conditions: 'future' and 'robot'. The original story is 'Little Red Riding Hood.'"

[0198] The server analyzes the received JSON data and has the generative AI model generate a new picture book story based on the concepts of "future" and "robot." At the same time, the AI ​​creates new illustrations featuring a futuristic cityscape and a robot as the main character. These generated stories and illustrations are converted into e-book format and sent from the server to the user's device.

[0199] Users can purchase and download the generated e-books in the virtual store and view them using a smartphone or head-mounted display. This system allows users to easily generate fresh, different picture books each time, and purchase and enjoy them in the virtual store.

[0200] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0201] Program processing flow

[0202] Step 1:

[0203] The user opens a screen on their device where they can enter the conditions for creating a picture book (e.g., historical setting, characters). They enter "Historical setting: future" and "Characters: robots" and click the "Generate" button. The entered conditions are prepared as JSON format data.

[0204] Step 2:

[0205] The device sends input data (in JSON format) to the server. The server analyzes the received data and extracts conditions such as "time setting: future" and "characters: robots." The server generates a prompt based on the analysis results.

[0206] Step 3:

[0207] The server inputs the generated prompt into a generative AI model (such as GPT-4) to generate a new picture book story. For example, the prompt might be, "Generate a new picture book story set in the future, with a robot as the main character. The original story is 'Little Red Riding Hood.'"

[0208] Step 4:

[0209] The generative AI model generates a picture book story based on the prompt sentence and returns it to the server, which receives the story and prepares it for the next step of illustration generation.

[0210] Step 5:

[0211] Based on the generated story, the server sends prompts to an illustration generation AI (such as DALL-E) to generate illustrations. For example, the prompt might be, "Draw a scene of a robot having an adventure with a futuristic cityscape as the background."

[0212] Step 6:

[0213] The illustration generation AI generates illustrations based on the specified prompts and returns them to the server, which then receives the illustrations and integrates them into an e-book format.

[0214] Step 7:

[0215] The server integrates the generated story and illustrations and converts them into an e-book using software such as Calibre. The format can be EPUB or PDF. The generated e-book file is then saved.

[0216] Step 8:

[0217] The server sends the generated e-book file to the user's device, allowing the user to purchase and download it from the virtual store. The user can browse e-books in the virtual store and purchase them using virtual currency or an electronic payment system.

[0218] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0219] The present invention combines a system for generating picture book stories based on generation conditions with an emotion engine that recognizes the user's emotions. This system is composed of the following main components:

[0220] 1. Generation condition input means (terminal):

[0221] The user uses the device to input the conditions for the picture book to be generated. Specifically, the user fills in information such as the historical setting, characters, and the user's emotions in an input form. For example, the user selects "Historical setting: future," "Characters: robots," and the user's emotion is "fun."

[0222] 2. Emotion engine means (terminal):

[0223] The emotion engine installed in the device analyzes the user's facial expressions and voice input to recognize the user's emotions. For example, if the user is smiling, this information is recognized as the emotion of "fun."

[0224] 3. Conditional receiving and analysis means (server):

[0225] The conditions entered by the user and the emotions recognized by the emotion engine are sent from the device to the server, which receives them and parses them in an appropriate format. The results of this analysis are prepared as parameters for use by the generative AI model.

[0226] 4. Generative AI model means (server):

[0227] The generative AI model installed on the server generates new picture book stories based on the analyzed conditions and emotions. For example, it generates a new story based on the public domain "Little Red Riding Hood," which is "fun" and "set in a futuristic world with a robot as the main character."

[0228] 5. Illustration generation means (server):

[0229] The generative AI model generates illustrations to fit the new story. Specifically, it generates bright and cheerful illustrations depicting a "future cityscape" and a "robot protagonist." These illustrations are generated to match the user's emotions.

[0230] 6. E-book format conversion means (server):

[0231] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). This conversion is done according to a template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[0232] 7. Transmission method to user terminal (server):

[0233] The generated e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[0234] Specific examples

[0235] For example, suppose a user inputs the following conditions: "Historical setting: Medieval," "Character: Dragon," and "Emotion: Surprise." The user enters these conditions into the device interface and clicks the "Generate" button. At the same time, the emotion engine recognizes the emotion of "surprise" from the user's facial expression. The device then sends these conditions and emotion information in JSON format to the server.

[0236] The server parses the received JSON data and has the generative AI model generate a new picture book story based on "medieval," "dragon," and "surprise." For example, a new story based on the public domain "Little Red Riding Hood" is generated, in which a dragon goes on a surprising adventure in a medieval world. At the same time, the AI ​​creates new illustrations depicting a medieval castle and a dragon with a surprised expression.

[0237] The generated story and illustrations are converted into an e-book format and sent from the server to the user's device. The user can then download the e-book and begin reading it on their e-reader. For example, they can enjoy a picture book about a dragon's amazing adventures in the Middle Ages.

[0238] This system allows users to easily generate fresh picture books that are different each time according to their emotions, allowing them to enjoy reading aloud or reading. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more personalized experience.

[0239] The processing flow will be explained below.

[0240] Step 1:

[0241] The user accesses the terminal and opens the interface of the picture book generation site. The user enters the generation conditions (e.g., historical setting, characters, emotions) into an input form. The user selects "Historical setting: future," "Characters: robots," and "Emotions: fun" as the conditions.

[0242] Step 2:

[0243] The emotion engine uses the device's camera and microphone to analyze the user's facial expressions and voice to recognize their emotions. For example, if the user is smiling, the emotion engine will recognize that they are "happy."

[0244] Step 3:

[0245] The device packages the generation conditions entered by the user and the emotions recognized by the emotion engine in JSON format, including the historical background, characters, and the user's emotions. The device then sends the packaged JSON data to the server via an API endpoint.

[0246] Step 4:

[0247] The server analyzes the received JSON data. Specifically, it determines that the time period is "future," the characters are "robots," and the emotion is "fun." Based on this, the server sets the parameters to be passed to the generative AI model.

[0248] Step 5:

[0249] The generative AI model generates a new picture book story based on parameters passed from the server (time setting: future, characters: robots, emotions: fun). For example, based on the public domain "Little Red Riding Hood," it generates a new story about "a robot having a fun adventure in a future world."

[0250] Step 6:

[0251] The generative AI model generates illustrations to fit the new story. Specifically, it generates illustrations depicting a "future cityscape" and a "robot protagonist" in a bright and cheerful tone. The illustrations are set to match the user's emotions.

[0252] Step 7:

[0253] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF) based on a specified template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[0254] Step 8:

[0255] The converted e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[0256] Step 9:

[0257] The device receives the response from the server and displays a download link to the user, who can click on this link to download the e-book file to the device.

[0258] Step 10:

[0259] Users can open the downloaded e-book file in an e-book reader application and start reading. For example, they can enjoy a picture book about a robot's fun adventures in a futuristic world.

[0260] In this way, the system uses generative AI to generate a new picture book based on the user's emotions and provides it to the user in a short amount of time, allowing users to easily generate fresh picture books that adapt to their emotions and enjoy reading aloud or reading.

[0261] Example 2

[0262] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0263] Conventional picture book generation systems often provide uniform content and illustrations without considering the user's emotions. This has the problem of resulting in content that is not personalized and unfamiliar to the user. This makes it difficult to stimulate the user's interest and curiosity, especially in picture books for children. Furthermore, the technology for generating content that responds to the user's emotions is immature, and the generated picture books often fail to meet the user's expectations.

[0264] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0265] In this invention, the server includes means for inputting creation conditions, means for recognizing a user's emotions, means having a creation AI model for receiving the creation conditions and creating a picture book story based on the creation conditions, means for creating illustrations according to the created picture book story, means for converting the created picture book story and illustrations into an e-book format, and means for transmitting the converted e-book to the user's terminal, thereby enabling the creation of a personalized picture book according to the user's emotions.

[0266] The "creation conditions" are information input by the user that is necessary for generating a picture book story, and include the historical background, characters, emotions, and the like.

[0267] A "generative AI model" is an artificial intelligence algorithm that generates new picture book stories based on input conditions.

[0268] "Illustration generation means" refers to a technology or device for creating illustrations that correspond to the picture book story generated by the generative AI model.

[0269] "E-book format" means a digital file format (e.g., EPUB or PDF) in which the generated story and illustrations are appropriately arranged and can be distributed as an e-book.

[0270] "Emotion recognition means" refers to a technology or device for analyzing a user's facial expressions and voice and identifying the user's emotions.

[0271] "Public domain picture book stories" refer to picture book stories that are free to use because they are out of copyright or there is no copyright.

[0272] The "means for transmitting to the user terminal" refers to a technique or process for transferring the generated electronic book to the user's terminal.

[0273] "Historical background" refers to the specific historical setting or period in which the picture book story unfolds.

[0274] "Characters" are the main characters that appear in the picture book story.

[0275] "User emotion" refers to the user's psychological state and is identified through emotion recognition means.

[0276] "Personalization" means customizing to the particular needs and preferences of individual users.

[0277] The present invention relates to a system for generating picture book stories based on user input conditions and emotions. This system operates in cooperation with a terminal and a server, and provides personalized picture books to users.

[0278] First, the user uses the device to input the conditions for creating a picture book. The input conditions include the historical setting, characters, and emotions. This information is collected through an input form on the device. For example, conditions such as "Historical setting: Middle Ages," "Character: Dragon," and "Emotion: Surprise" can be input. The user's emotions are recognized by an emotion engine (e.g., OpenCV) installed on the device. Emotion recognition is performed by analyzing emotions from the user's facial expressions and voice input.

[0279] The device sends the user-entered conditions and the recognized emotions in JSON format to the server. The server receives this data and formats it appropriately using an analysis engine. Next, a generative AI model (e.g., GPT-3) installed on the server generates a new picture book story based on the analyzed data. This generative AI model creates new stories based on public domain picture book stories.

[0280] The server uses an illustration generator (e.g., DALL-E) to generate appropriate illustrations based on the generated story. For example, illustrations depicting a "medieval castle" and a "dragon with a surprised expression" are generated. The generated story and illustrations are then converted into an e-book format (e.g., EPUB or PDF). For this purpose, an e-book generation engine (e.g., Calibre) is used.

[0281] Finally, the generated e-book is stored in the server's storage, and a download link is provided to the user's device, allowing the user to obtain the generated e-book using the download link and view it on an e-book reader.

[0282] As a concrete example, consider the case where a picture book story and illustrations are generated in response to the following prompt:

[0283] Historical setting: Middle Ages

[0284] Characters: Dragon

[0285] Emotion: Surprise

[0286] Generate a new picture book story. This story revolves around a dragon, a startling character set in a medieval setting.

[0287] This system allows users to easily generate fresh picture books that are different each time based on their emotions and preferences, allowing them to enjoy reading aloud or reading. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more personalized experience.

[0288] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0289] Step 1:

[0290] (Condition input)

[0291] The user inputs the conditions for creating a picture book using a terminal. These conditions include the historical background, characters, and emotions. Input is done through the terminal interface.

[0292] Input: User generation conditions

[0293] Output: Data on the generation conditions (e.g., "Historical setting: Middle Ages," "Character: Dragon," "Emotion: Surprise")

[0294] Specific operation: The user opens a browser on their device and accesses the form for the picture book generation application. They enter the "historical background," "characters," and "emotions," and click the "Generate" button.

[0295] Step 2:

[0296] (emotion recognition)

[0297] The emotion engine installed in the device analyzes the user's facial expressions and voice input to recognize the user's emotions. The emotion recognition engine uses a face detection algorithm (e.g., OpenCV) or a voice recognition algorithm.

[0298] Input: User's facial expression data or voice data

[0299] Output: Parsed emotion data

[0300] Specific operation: The user turns on the camera, the device captures and analyzes the user's facial expressions, and the emotion engine automatically identifies the emotion "surprise" from the user's facial expressions.

[0301] Step 3:

[0302] (Sending conditions and emotions)

[0303] The device sends the conditions entered by the user and the emotional information recognized by the emotion engine to the server, where the data is packaged in JSON format.

[0304] Input: Data on generation conditions and emotion data

[0305] Output: JSON data sent to the server

[0306] Specific operation: The device converts the user's input data and emotion data into JSON format and sends a POST request to the server. For example, it sends the JSON data {"Historical setting": "Medieval", "Character": "Dragon", "Emotion": "Surprised"}.

[0307] Step 4:

[0308] (receive and analyze)

[0309] The server receives and analyzes the data sent from the device. The data analysis engine then formats the data into an appropriate format so that it can be used by the generative AI model.

[0310] Input: JSON format generation conditions and emotion data

[0311] Output: Analyzed data to feed into a generative AI model

[0312] Specific operation: The server parses the received JSON data and extracts "Historical setting: Middle Ages," "Character: Dragon," and "Emotion: Surprise" as individual variables.

[0313] Step 5:

[0314] (Story generation)

[0315] A generative AI model installed on the server generates a new picture book story based on the analyzed conditions and emotions. The generative AI model typically uses an advanced natural language generation model such as GPT-3.

[0316] Input: Analyzed generation conditions and emotion data

[0317] Output: Text data of the generated picture book story

[0318] How it works: The generative AI model generates text for a new picture book story based on the inputs "medieval," "dragon," and "surprise."

[0319] Step 6:

[0320] (Illustration generation)

[0321] The server generates appropriate illustrations according to the generated picture book story using an illustration generation means (e.g., DALL-E).

[0322] Input: Generated picture book story

[0323] Output: Generated illustration

[0324] What it does: The image generation engine generates illustrations of a "medieval castle" and a "dragon with a surprised expression."

[0325] Step 7:

[0326] (Conversion to e-book format)

[0327] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). For this purpose, an e-book generation engine (e.g., Calibre) is used.

[0328] Input: Generated story and illustrations

[0329] Output: eBook file (EPUB or PDF)

[0330] Specific operation: The server lays out the story and illustrations in the appropriate format and generates an e-book file.

[0331] Step 8:

[0332] (Generate and send download links)

[0333] The generated e-book is stored in the server's storage and a download link is provided to the user's device.

[0334] Input: e-book file

[0335] Output: A download link sent to the user's device

[0336] Specific operation: The server sends a response to the user's device containing a download link for the generated e-book. The user uses this link to download the e-book.

[0337] (Application example 2)

[0338] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0339] Conventional picture book generation systems generate stories only under certain conditions based on user input, and are unable to reflect individual users' emotions or real-time states. Furthermore, because the generated stories are fixed, they lack novelty for users and are difficult to provide a personalized reading experience. This poses a challenge: they are unable to meet the diverse needs of users and provide a truly immersive reading experience.

[0340] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0341] In this invention, the server includes means for inputting generation conditions, means for receiving the generation conditions and having a generation AI model for generating a picture book story based on the generation conditions, means for generating illustrations according to the generated picture book story, means for converting the generated picture book story and illustrations into an e-book format, means for transmitting the converted e-book to a user's terminal, means for analyzing the user's emotions, and means for adapting the generated story and illustrations based on the emotions, thereby enabling the generation of personalized picture book stories and illustrations based on the user's input conditions and the results of real-time emotion analysis.

[0342] "Means for inputting creation conditions" refers to a device or interface that allows a user to input conditions for the picture book to be created.

[0343] "Means having a generative AI model that receives generation conditions and generates a picture book story based on them" refers to a device or system that receives conditions entered by a user and has a generative AI model that creates a picture book story based on those conditions.

[0344] The term "means for generating illustrations according to the generated picture book story" refers to a device or system for creating illustrations suitable for the generated picture book story.

[0345] "Means for converting the generated picture book story and illustrations into an e-book format" refers to a device or system that converts the generated picture book story and illustrations into an e-book format.

[0346] The "means for transmitting the converted electronic book to the user's terminal" refers to a device or system for delivering the converted electronic book to the user's terminal.

[0347] The "means for analyzing the user's emotions" refers to a device or system used to analyze the user's emotions.

[0348] "Means for adapting generated story and illustrations based on emotions" refers to a device or system that adjusts picture book stories and illustrations based on analyzed emotional information.

[0349] System Program

[0350] This invention provides a system for generating personalized picture book stories and illustrations by combining user-entered generation conditions with real-time analyzed emotional data. The program processing of this system is explained below.

[0351] Program processing explanation

[0352] 1. Generation condition input method

[0353] The user uses a smartphone to input the conditions for creating a picture book. Specifically, information such as the historical setting and characters is sent through an input form. The input conditions are text data such as "Historical setting: future" and "Characters: robots."

[0354] 2. User sentiment analysis method

[0355] The smartphone's camera and microphone are used to analyze the user's emotions. The emotion engine analyzes the user's facial expressions and voice in real time to obtain emotional data. This emotional data is expressed as emotion labels such as "fun" or "surprise." Emotion analysis is performed using emotion recognition software that runs on the smartphone.

[0356] 3. Conditional Receiving and Analysis Methods

[0357] The generation conditions and emotion data sent from the smartphone device are sent to a server. The server receives the data in a standard data format such as JSON and analyzes it. The analysis results are used as parameters to input into the generative AI model.

[0358] 4. Generative AI Model Means

[0359] A generative AI model installed on the server generates a new picture book story based on the received generation conditions and emotional data. The generative AI model uses natural language processing technology and generative models. For example, it could generate a "fun adventure story with a robot as the main character in a futuristic world."

[0360] 5. Illustration Generation Method

[0361] The server-side generation engine also creates illustrations that fit the story and the user's emotions. For example, illustrations of a "future cityscape" and a "fun-looking robot" are generated.

[0362] 6. E-book format conversion methods

[0363] The generated story and illustrations are converted into an e-book format (e.g., EPUB or PDF). The e-book generation engine performs this conversion and arranges the story and illustrations in an appropriate layout.

[0364] 7. Means of transmission to user terminal

[0365] The final e-book is stored in the server's storage, and the server then provides a download link to the user's smartphone device, allowing the user to obtain the e-book via this download link.

[0366] Examples of concrete examples and prompts

[0367] For example, if a user inputs "Historical setting: future" and "Character: robot" into a smartphone app and the emotion engine recognizes this as "fun," the following prompt sentence can be input into the generative AI model to generate a picture book story.

[0368] Prompt Sentence Examples

[0369] Time period: Future, Characters: Robots, Emotions: Fun

[0370] Generate a story.

[0371] Based on this prompt, the generative AI model generates a fun adventure story about a robot in a future world, along with illustrations to accompany the story. Finally, the generated content is converted into an e-book and provided to the user's smartphone as a download link.

[0372] The above process realizes a system that allows users to enjoy personalized picture book stories based on their individual emotions and input conditions.

[0373] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0374] Step 1:

[0375] Users use their smartphone to input the conditions for creating a picture book (e.g., historical setting, characters). Specifically, they submit information such as "historical setting: future" and "characters: robots" via the app's input form.

[0376] Input: User-entered generation conditions (historical setting, characters)

[0377] Output: Data including generation conditions (e.g., "Time background: future", "Character: robot")

[0378] Step 2:

[0379] Using the smartphone's camera and microphone, the system analyzes the user's facial expressions and voice in real time to obtain emotional data. The emotion engine analyzes the user's facial expressions and voice tone and outputs emotional labels such as "fun" or "surprise."

[0380] Input: User's facial expression data, voice data

[0381] Output: Emotion label (e.g. "fun")

[0382] Step 3:

[0383] The smartphone device sends the generation conditions and emotion data acquired in steps 1 and 2 to the server in JSON format. The server receives and analyzes this JSON data.

[0384] Input: Generation condition data, emotion data (JSON format)

[0385] Output: Analyzed generation conditions and emotion data

[0386] Step 4:

[0387] The server inputs prompt text into the generative AI model based on the analyzed generation conditions and emotion data, and generates a new picture book story. The generative AI model uses natural language processing technology to generate a story that matches the input conditions. For example, it generates a story based on the prompt text "Historical setting: future, Characters: robots, Emotion: fun."

[0388] Input: Analyzed generation conditions, emotion data, and prompt (e.g., "Time setting: future, character: robot, emotion: fun")

[0389] Output: Generated picture book story

[0390] Step 5:

[0391] The server generates illustrations that fit the generated picture book story. The illustration generation engine generates illustrations, such as a "future cityscape" and a "robot protagonist," based on the story content and emotion data.

[0392] Input: Generated picture book story, emotion data

[0393] Output: Illustration data

[0394] Step 6:

[0395] The server converts the generated picture book story and illustration data into an e-book format, and the e-book generation engine appropriately lays out the story and illustrations in a format such as EPUB or PDF.

[0396] Input: Generated picture book story and illustration data

[0397] Output: eBook file (e.g. EPUB, PDF)

[0398] Step 7:

[0399] The server provides a download link to send the converted e-book to the user's smartphone, and the user clicks the provided link to download the e-book and view it on the smartphone's e-reader.

[0400] Input: Converted eBook file

[0401] Output: Download link (user-accessible URL)

[0402] Through these steps, users can obtain personalized picture book stories and illustrations based on their individual emotions and input conditions, allowing them to enjoy reading.

[0403] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0404] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0405] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0406] [Second embodiment]

[0407] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0408] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0409] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0410] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0411] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0412] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0413] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0414] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0415] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0416] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0417] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0418] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0419] The present invention is a system for generating picture book stories based on specific conditions. The system consists of the following main components:

[0420] 1. Generation condition input means (terminal):

[0421] The user uses the device to input the conditions for the picture book to be created. Specifically, they fill in information such as the historical setting and characters in an input form. For example, the user selects "Historical setting: future" and "Characters: robots."

[0422] 2. Conditional receiving and analysis means (server):

[0423] The conditions entered by the user are sent from the device to the server, which receives them and parses them in an appropriate format. The results of this analysis are prepared as parameters for use by the generative AI model.

[0424] 3. Generative AI model means (server):

[0425] The generative AI model installed on the server generates new picture book stories based on the analyzed conditions. For example, a new story about a robot in a future world could be generated based on the public domain story of "Little Red Riding Hood."

[0426] 4. Illustration generation means (server):

[0427] The generative AI model creates illustrations based on the generated story, for example, an illustration depicting a "future cityscape" and a "robot protagonist."

[0428] 5. E-book format conversion means (server):

[0429] The server converts the generated story and illustrations into e-book formats, such as EPUB and PDF, and arranges the generated story and illustrations according to a predefined template.

[0430] 6. Transmission method to user terminal (server):

[0431] The generated e-book file is sent from the server to the user's device, and the user can download and view the e-book by clicking the link.

[0432] Specific examples

[0433] For example, suppose a user enters the following conditions: "Historical setting: Middle Ages" and "Character: Dragon." The user enters these conditions into the device interface and clicks the "Generate" button. The device then sends the entered conditions to the server in JSON format.

[0434] The server analyzes the received JSON data and has the generative AI model generate a new picture book story based on the "Middle Ages" and "dragons." For example, based on the story of "Little Red Riding Hood," a new story set in a medieval world with a dragon as the main character is generated. At the same time, the AI ​​creates new illustrations featuring a medieval castle and a dragon as the main character.

[0435] These generated stories and illustrations are converted into e-book format and sent from the server to the user's device. The user can download the generated e-book and start reading it on their e-reader. For example, they can enjoy an adventure picture book set in the Middle Ages with a dragon as the main character.

[0436] This system allows users to easily create fresh, different picture books each time and enjoy reading them aloud or as a book.

[0437] The processing flow will be explained below.

[0438] Step 1:

[0439] The user accesses the device and opens the interface of the picture book generation site. The user enters the generation conditions (for example, historical setting and characters) into an input form. The conditions entered are "Historical setting: future" and "Characters: robots."

[0440] Step 2:

[0441] The device packages the creation conditions entered by the user in JSON format, including information on the historical background and characters, and sends the packaged JSON data to the server via an API endpoint.

[0442] Step 3:

[0443] The server analyzes the received JSON data. Specifically, it breaks down the data and determines that the time period is "future" and the characters are "robots." Based on this, the server sets the parameters to be passed to the generative AI model.

[0444] Step 4:

[0445] The generative AI model generates a new picture book story based on parameters (time setting: future, characters: robots) passed from the server. For example, based on the public domain "Little Red Riding Hood," it generates a new story in which a robot is the protagonist in a future world.

[0446] Step 5:

[0447] The generative AI model generates illustrations to fit a new story, specifically depicting a "future cityscape" and a "robot protagonist." These illustrations are generated to perfectly match the user-specified criteria.

[0448] Step 6:

[0449] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). This conversion is done according to a template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[0450] Step 7:

[0451] The converted e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[0452] Step 8:

[0453] The device receives the response from the server and displays a download link to the user, who can click on this link to download the e-book file to the device.

[0454] Step 9:

[0455] Users can open the downloaded e-book file in an e-book reader application and start reading. For example, they can enjoy an adventure picture book set in a futuristic world, with a robot as the main character.

[0456] In this way, the system uses generative AI to generate a new picture book based on user input and quickly completes a series of processes to provide it to the user.

[0457] Example 1

[0458] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0459] Previous picture book generation systems lacked the ability to quickly and efficiently generate picture books based on specific user requirements. Furthermore, the process of appropriately combining the generated story and illustrations and converting them into an e-book format required time and effort, making it difficult to immediately meet user needs. Furthermore, they lacked the flexibility to generate new stories based on existing public domain picture book stories in order to provide unique and fresh content.

[0460] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0461] In this invention, the server includes terminal means for a user to input picture book creation conditions, server means for receiving and analyzing the creation conditions sent from the terminal, server means having a generation AI model for creating a picture book story based on the analyzed creation conditions, server means for creating illustrations corresponding to the created picture book story, server means for converting the created picture book story and illustrations into an e-book format, and server means for sending the converted e-book to the user's terminal. This allows a user to instantly create an original picture book based on specific conditions and easily receive it in e-book format.

[0462] The "user" is an entity that uses a terminal means to input the conditions for creating a picture book and receives the created electronic book.

[0463] The "terminal means" refers to a system part including a device and interface for a user to input generation conditions. Specifically, it refers to an electronic device such as a personal computer or smartphone.

[0464] The "server means" is a central control system that receives, analyzes, and processes data sent from the terminals.

[0465] A "generative AI model" is an artificial intelligence algorithm used to generate new picture book stories based on specified generation criteria.

[0466] The "creation conditions" are information input by the user to determine the characteristics of the picture book, and include the historical background and characters.

[0467] "Analysis" is the process by which the server means understands the generation conditions received from the terminal means and converts them into a format that can be used by the generative AI model.

[0468] "Illustrations" are images that add visual elements to the generated picture book story.

[0469] "E-book format" refers to the data format used to convert the generated picture book story and illustrations into a digital format (e.g., EPUB, PDF).

[0470] "Transmission" refers to a data transmission means performed by the server means to provide the generated electronic book to the user's terminal means.

[0471] "Reception" is a process in which the server means acquires the data of the generation conditions sent from the user's terminal means.

[0472] "Conversion" is the process of compiling the generated picture book story and illustrations into an e-book format.

[0473] The present invention is a system for generating picture book stories based on specific conditions, and is composed of the following main components:

[0474] 1. Generation condition input means (terminal)

[0475] The user inputs the conditions for the picture book to be created using a terminal, which is a creation condition input means. This terminal is provided with an interface for the user to input information such as "historical setting" and "characters." For example, the user can input specific conditions such as "historical setting: future" and "characters: robots."

[0476] 2. Conditional reception and analysis method (server)

[0477] The server receives and analyzes the generation conditions sent from the device. These analyzed conditions are prepared as parameters for use by the generative AI model. The server analyzes the generation conditions and formats the data.

[0478] 3. Generative AI model means (server)

[0479] Based on the analyzed conditions, a generative AI model installed on the server generates a new picture book story. For example, based on the conditions "time setting: future" and "characters: robots" entered by the user, it generates a story set in a future world with a robot as the protagonist.

[0480] 4. Illustration generation means (server)

[0481] The server is equipped with a means to create illustrations that correspond to the generated picture book story. The generative AI model generates illustrations that suit the story based on the conditions. For example, it generates specific visual elements such as a "future cityscape" or a "robot protagonist."

[0482] 5. E-book format conversion means (server)

[0483] The server converts the generated picture book story and corresponding illustrations into e-book formats, including EPUB and PDF, and lays them out according to a predefined template.

[0484] 6. Transmission method to user terminal (server)

[0485] The generated e-book file is sent from the server to the user's device, and the user can download and view the e-book by clicking the link.

[0486] Specific examples

[0487] For example, suppose a user inputs the following conditions: "Historical setting: Middle Ages" and "Character: Dragon." After entering these conditions into the device interface, the user clicks the "Generate" button. The device sends the input conditions to the server, which receives and analyzes the data. Based on the analysis results, the generative AI model generates a new picture book story.

[0488] Specifically, a new story set in a medieval world with a dragon as the main character is generated based on the story of Little Red Riding Hood. At the same time, the server generates illustrations of medieval castles and dragons. The generated story and illustrations are converted into e-book format and sent from the server to the user's device.

[0489] Users can download the generated e-book and start reading it on their e-reader, for example, enjoying a medieval picture book adventure with a dragon as the hero.

[0490] Prompt Sentence Examples

[0491] Examples of prompts for generative AI models include:

[0492] "Generate a story set in a futuristic world with a robot protagonist. Include the following details: futuristic cityscape, robot characters, action and adventure."

[0493] This system allows users to easily create fresh, different picture books each time and enjoy reading them aloud or as a book.

[0494] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0495] Step 1:

[0496] The user enters the conditions

[0497] The user inputs the conditions for the picture book to be generated using the device's web interface. The input contents include "historical setting" and "characters." For example, the user enters "future" and "robot" into the input form. The conditions are created in JSON format as input data.

[0498] Specific behavior:

[0499] The user fills in the form with the conditions and clicks the [Generate] button. Once the input is complete, the conditions are compiled in JSON format.

[0500] Input and Output:

[0501] Input: "Historical background" and "Characters" entered by the user

[0502] Output: Input condition data in JSON format

[0503] Step 2:

[0504] The device sends the conditions to the server

[0505] The terminal sends the conditions entered by the user to the server in JSON format. An AJAX request is used, and the data is sent to the server asynchronously.

[0506] Specific behavior:

[0507] The JavaScript code on the device runs, processes the JSON data to be sent, and sends it to the server via an HTTP POST request.

[0508] Input and Output:

[0509] Input: Condition data in JSON format

[0510] Output: HTTP request sent to the server

[0511] Step 3:

[0512] The server receives and analyzes the conditions

[0513] The server receives the JSON data sent from the device and analyzes the conditions. The analysis results are prepared as parameters to be used by the generative AI model.

[0514] Specific behavior:

[0515] The server takes the JSON data from the request body and deserializes it to convert it into structured data.

[0516] Input and Output:

[0517] Input: JSON data received from the terminal

[0518] Output: Parameters for the generative AI model

[0519] Step 4:

[0520] The server generates a picture book story

[0521] The generative AI model installed on the server generates a new picture book story based on the analyzed conditions. To do this, the AI ​​model is given prompts to generate.

[0522] Specific behavior:

[0523] The server passes the prompt to the generative AI model: "Generate a story about a futuristic robot as the protagonist," and the model creates a story based on this instruction.

[0524] Input and Output:

[0525] Input: Prompt (e.g., "Generate a story set in the future with a robot as the protagonist.")

[0526] Output: New picture book story

[0527] Step 5:

[0528] The server generates the illustrations

[0529] The server uses the generative AI model to create illustrations that correspond to the generated picture book story.

[0530] Specific behavior:

[0531] The generative AI model is given the prompt, "Please create an illustration of a futuristic cityscape with a robot protagonist," and the AI ​​generates the illustration.

[0532] Input and Output:

[0533] Input: Prompt (e.g., "Please create an illustration of a futuristic cityscape with a robot protagonist.")

[0534] Output: Generated illustration

[0535] Step 6:

[0536] The server converts it into an e-book format.

[0537] The server combines the generated story and illustrations, converts them into e-book format (EPUB or PDF), and arranges the layout using a template.

[0538] Specific behavior:

[0539] The server integrates the story and illustrations with an e-book tool, sets the layout, and generates an EPUB or PDF file.

[0540] Input and Output:

[0541] Input: Generated picture book story and illustrations

[0542] Output: eBook file in EPUB or PDF format

[0543] Step 7:

[0544] The server sends the e-book to the user's device.

[0545] The server sends the generated e-book file to the user's device, where the user can click a link to download and view the file.

[0546] Specific behavior:

[0547] The server generates a download link for the generated electronic book file and transmits it to the user's terminal.

[0548] Input and Output:

[0549] Input: Generated e-book file

[0550] Output: The download link sent to the user's device.

[0551] (Application example 1)

[0552] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0553] In conventional picture book generation systems, even if users specified multiple conditions at once, the content generated was limited. Furthermore, there was no environment in place for users to easily purchase, download, and immediately view the generated content. Furthermore, the interactive experience within the virtual store was insufficient, preventing an improved user experience. This made it difficult to provide personalized content that met diverse needs.

[0554] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0555] In this invention, the server includes a means for inputting creation conditions, a means having a creation AI model that receives the creation conditions and generates a picture book story based on the creation conditions, and a means for generating illustrations corresponding to the created picture book story. The server also includes a means for converting the created picture book story and illustrations into an e-book format, a means for sending the converted e-book to a user's device, and a means for making the e-book available for purchase and download in a virtual store. This allows users to create customized picture books based on various conditions, and instantly purchase, download, and view them in a virtual store.

[0556] "Generation condition input means" refers to an interface that allows a user to input conditions related to the picture book to be generated (e.g., historical setting, characters, etc.).

[0557] The "condition receiving and analyzing means" is a means for receiving conditions entered by the user, analyzing them, and converting them into a format that can be used by the generative AI model.

[0558] "Generative AI model means" refers to an artificial intelligence model that automatically generates new picture book stories based on the analyzed conditions.

[0559] The "illustration generating means" is a means for automatically generating illustrations according to the generated picture book story.

[0560] The "electronic book format conversion means" is a means for converting the generated picture book story and illustrations into an electronic book format such as EPUB or PDF.

[0561] The "means for transmitting to the user terminal" is a means for transmitting the generated electronic book to the user's terminal.

[0562] "Means for enabling purchase and download within a virtual store" refers to means for enabling users to easily purchase and download the generated e-books within a virtual space.

[0563] The present invention provides a system that generates picture book stories based on specific conditions and allows them to be purchased and downloaded from a virtual store.

[0564] System configuration

[0565] The system consists of the following main components:

[0566] 1. Generation condition input means (user terminal):

[0567] The user inputs the conditions for creating a picture book using an input interface provided on the device. For example, the user may set conditions such as "time setting: future" and "characters: robots."

[0568] 2. Conditional receiving and analysis means (server):

[0569] The conditions entered by the user are sent from the device to the server, which receives them, analyzes them, and converts them into a format that the generative AI model can use, such as JSON.

[0570] 3. Generative AI model means (server):

[0571] The generative AI model installed on the server generates a new picture book story based on the analyzed conditions. A large-scale language model such as GPT-4 is used as the generative AI model.

[0572] 4. Illustration generation means (server):

[0573] The generative AI model generates illustrations based on the generated story. Image generation AI such as DALL-E is used to generate the illustrations.

[0574] 5. E-book format conversion means (server):

[0575] The server converts the generated story and illustrations into e-book formats (EPUB, PDF, etc.) using software such as Calibre.

[0576] 6. Transmission method to user terminal (server):

[0577] The generated e-book file is sent from the server to the user's device, and the user can download the e-book by clicking the link and view it in the virtual store.

[0578] 7. Means for enabling purchases and downloads within the virtual store (user terminals, servers):

[0579] It provides a function that allows users to easily purchase and download generated e-books within the virtual store.

[0580] Specific examples

[0581] For example, a user enters the following conditions: "Historical setting: future" and "Character: robot." The user enters these conditions into the device interface and clicks the "Generate" button. The device then sends the entered conditions to the server in JSON format.

[0582] Prompt Sentence Examples

[0583] "Generate a new picture book story based on the user-entered conditions: 'future' and 'robot'. The original story is 'Little Red Riding Hood.'"

[0584] The server analyzes the received JSON data and has the generative AI model generate a new picture book story based on the concepts of "future" and "robot." At the same time, the AI ​​creates new illustrations featuring a futuristic cityscape and a robot as the main character. These generated stories and illustrations are converted into e-book format and sent from the server to the user's device.

[0585] Users can purchase and download the generated e-books in the virtual store and view them using a smartphone or head-mounted display. This system allows users to easily generate fresh, different picture books each time, and purchase and enjoy them in the virtual store.

[0586] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0587] Program processing flow

[0588] Step 1:

[0589] The user opens a screen on their device where they can enter the conditions for creating a picture book (e.g., historical setting, characters). They enter "Historical setting: future" and "Characters: robots" and click the "Generate" button. The entered conditions are prepared as JSON format data.

[0590] Step 2:

[0591] The device sends input data (in JSON format) to the server. The server analyzes the received data and extracts conditions such as "time setting: future" and "characters: robots." The server generates a prompt based on the analysis results.

[0592] Step 3:

[0593] The server inputs the generated prompt into a generative AI model (such as GPT-4) to generate a new picture book story. For example, the prompt might be, "Generate a new picture book story set in the future, with a robot as the main character. The original story is 'Little Red Riding Hood.'"

[0594] Step 4:

[0595] The generative AI model generates a picture book story based on the prompt sentence and returns it to the server, which receives the story and prepares it for the next step of illustration generation.

[0596] Step 5:

[0597] Based on the generated story, the server sends prompts to an illustration generation AI (such as DALL-E) to generate illustrations. For example, the prompt might be, "Draw a scene of a robot having an adventure with a futuristic cityscape as the background."

[0598] Step 6:

[0599] The illustration generation AI generates illustrations based on the specified prompts and returns them to the server, which then receives the illustrations and integrates them into an e-book format.

[0600] Step 7:

[0601] The server integrates the generated story and illustrations and converts them into an e-book using software such as Calibre. The format can be EPUB or PDF. The generated e-book file is then saved.

[0602] Step 8:

[0603] The server sends the generated e-book file to the user's device, allowing the user to purchase and download it from the virtual store. The user can browse e-books in the virtual store and purchase them using virtual currency or an electronic payment system.

[0604] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0605] The present invention combines a system for generating picture book stories based on generation conditions with an emotion engine that recognizes the user's emotions. This system is composed of the following main components:

[0606] 1. Generation condition input means (terminal):

[0607] The user uses the device to input the conditions for the picture book to be generated. Specifically, the user fills in information such as the historical setting, characters, and the user's emotions in an input form. For example, the user selects "Historical setting: future," "Characters: robots," and the user's emotion is "fun."

[0608] 2. Emotion engine means (terminal):

[0609] The emotion engine installed in the device analyzes the user's facial expressions and voice input to recognize the user's emotions. For example, if the user is smiling, this information is recognized as the emotion of "fun."

[0610] 3. Conditional receiving and analysis means (server):

[0611] The conditions entered by the user and the emotions recognized by the emotion engine are sent from the device to the server, which receives them and parses them in an appropriate format. The results of this analysis are prepared as parameters for use by the generative AI model.

[0612] 4. Generative AI model means (server):

[0613] The generative AI model installed on the server generates new picture book stories based on the analyzed conditions and emotions. For example, it generates a new story based on the public domain "Little Red Riding Hood," which is "fun" and "set in a futuristic world with a robot as the main character."

[0614] 5. Illustration generation means (server):

[0615] The generative AI model generates illustrations to fit the new story. Specifically, it generates bright and cheerful illustrations depicting a "future cityscape" and a "robot protagonist." These illustrations are generated to match the user's emotions.

[0616] 6. E-book format conversion means (server):

[0617] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). This conversion is done according to a template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[0618] 7. Transmission method to user terminal (server):

[0619] The generated e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[0620] Specific examples

[0621] For example, suppose a user inputs the following conditions: "Historical setting: Medieval," "Character: Dragon," and "Emotion: Surprise." The user enters these conditions into the device interface and clicks the "Generate" button. At the same time, the emotion engine recognizes the emotion of "surprise" from the user's facial expression. The device then sends these conditions and emotion information in JSON format to the server.

[0622] The server parses the received JSON data and has the generative AI model generate a new picture book story based on "medieval," "dragon," and "surprise." For example, a new story based on the public domain "Little Red Riding Hood" is generated, in which a dragon goes on a surprising adventure in a medieval world. At the same time, the AI ​​creates new illustrations depicting a medieval castle and a dragon with a surprised expression.

[0623] The generated story and illustrations are converted into an e-book format and sent from the server to the user's device. The user can then download the e-book and begin reading it on their e-reader. For example, they can enjoy a picture book about a dragon's amazing adventures in the Middle Ages.

[0624] This system allows users to easily generate fresh picture books that are different each time according to their emotions, allowing them to enjoy reading aloud or reading. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more personalized experience.

[0625] The processing flow will be explained below.

[0626] Step 1:

[0627] The user accesses the terminal and opens the interface of the picture book generation site. The user enters the generation conditions (e.g., historical setting, characters, emotions) into an input form. The user selects "Historical setting: future," "Characters: robots," and "Emotions: fun" as the conditions.

[0628] Step 2:

[0629] The emotion engine uses the device's camera and microphone to analyze the user's facial expressions and voice to recognize their emotions. For example, if the user is smiling, the emotion engine will recognize that they are "happy."

[0630] Step 3:

[0631] The device packages the generation conditions entered by the user and the emotions recognized by the emotion engine in JSON format, including the historical background, characters, and the user's emotions. The device then sends the packaged JSON data to the server via an API endpoint.

[0632] Step 4:

[0633] The server analyzes the received JSON data. Specifically, it determines that the time period is "future," the characters are "robots," and the emotion is "fun." Based on this, the server sets the parameters to be passed to the generative AI model.

[0634] Step 5:

[0635] The generative AI model generates a new picture book story based on parameters passed from the server (time setting: future, characters: robots, emotions: fun). For example, based on the public domain "Little Red Riding Hood," it generates a new story about "a robot having a fun adventure in a future world."

[0636] Step 6:

[0637] The generative AI model generates illustrations to fit the new story. Specifically, it generates illustrations depicting a "future cityscape" and a "robot protagonist" in a bright and cheerful tone. The illustrations are set to match the user's emotions.

[0638] Step 7:

[0639] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF) based on a specified template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[0640] Step 8:

[0641] The converted e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[0642] Step 9:

[0643] The device receives the response from the server and displays a download link to the user, who can click on this link to download the e-book file to the device.

[0644] Step 10:

[0645] Users can open the downloaded e-book file in an e-book reader application and start reading. For example, they can enjoy a picture book about a robot's fun adventures in a futuristic world.

[0646] In this way, the system uses generative AI to generate a new picture book based on the user's emotions and provides it to the user in a short amount of time, allowing users to easily generate fresh picture books that adapt to their emotions and enjoy reading aloud or reading.

[0647] Example 2

[0648] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0649] Conventional picture book generation systems often provide uniform content and illustrations without considering the user's emotions. This has the problem of resulting in content that is not personalized and unfamiliar to the user. This makes it difficult to stimulate the user's interest and curiosity, especially in picture books for children. Furthermore, the technology for generating content that responds to the user's emotions is immature, and the generated picture books often fail to meet the user's expectations.

[0650] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0651] In this invention, the server includes means for inputting creation conditions, means for recognizing a user's emotions, means having a creation AI model for receiving the creation conditions and creating a picture book story based on the creation conditions, means for creating illustrations according to the created picture book story, means for converting the created picture book story and illustrations into an e-book format, and means for transmitting the converted e-book to the user's terminal, thereby enabling the creation of a personalized picture book according to the user's emotions.

[0652] The "creation conditions" are information input by the user that is necessary for generating a picture book story, and include the historical background, characters, emotions, and the like.

[0653] A "generative AI model" is an artificial intelligence algorithm that generates new picture book stories based on input conditions.

[0654] "Illustration generation means" refers to a technology or device for creating illustrations that correspond to the picture book story generated by the generative AI model.

[0655] "E-book format" means a digital file format (e.g., EPUB or PDF) in which the generated story and illustrations are appropriately arranged and can be distributed as an e-book.

[0656] "Emotion recognition means" refers to a technology or device for analyzing a user's facial expressions and voice and identifying the user's emotions.

[0657] "Public domain picture book stories" refer to picture book stories that are free to use because they are out of copyright or there is no copyright.

[0658] The "means for transmitting to the user terminal" refers to a technique or process for transferring the generated electronic book to the user's terminal.

[0659] "Historical background" refers to the specific historical setting or period in which the picture book story unfolds.

[0660] "Characters" are the main characters that appear in the picture book story.

[0661] "User emotion" refers to the user's psychological state and is identified through emotion recognition means.

[0662] "Personalization" means customizing to the particular needs and preferences of individual users.

[0663] The present invention relates to a system for generating picture book stories based on user input conditions and emotions. This system operates in cooperation with a terminal and a server, and provides personalized picture books to users.

[0664] First, the user uses the device to input the conditions for creating a picture book. The input conditions include the historical setting, characters, and emotions. This information is collected through an input form on the device. For example, conditions such as "Historical setting: Middle Ages," "Character: Dragon," and "Emotion: Surprise" can be input. The user's emotions are recognized by an emotion engine (e.g., OpenCV) installed on the device. Emotion recognition is performed by analyzing emotions from the user's facial expressions and voice input.

[0665] The device sends the user-entered conditions and the recognized emotions in JSON format to the server. The server receives this data and formats it appropriately using an analysis engine. Next, a generative AI model (e.g., GPT-3) installed on the server generates a new picture book story based on the analyzed data. This generative AI model creates new stories based on public domain picture book stories.

[0666] The server uses an illustration generator (e.g., DALL-E) to generate appropriate illustrations based on the generated story. For example, illustrations depicting a "medieval castle" and a "dragon with a surprised expression" are generated. The generated story and illustrations are then converted into an e-book format (e.g., EPUB or PDF). For this purpose, an e-book generation engine (e.g., Calibre) is used.

[0667] Finally, the generated e-book is stored in the server's storage, and a download link is provided to the user's device, allowing the user to obtain the generated e-book using the download link and view it on an e-book reader.

[0668] As a concrete example, consider the case where a picture book story and illustrations are generated in response to the following prompt:

[0669] Historical setting: Middle Ages

[0670] Characters: Dragon

[0671] Emotion: Surprise

[0672] Generate a new picture book story. This story revolves around a dragon, a startling character set in a medieval setting.

[0673] This system allows users to easily generate fresh picture books that are different each time based on their emotions and preferences, allowing them to enjoy reading aloud or reading. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more personalized experience.

[0674] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0675] Step 1:

[0676] (Condition input)

[0677] The user inputs the conditions for creating a picture book using a terminal. These conditions include the historical background, characters, and emotions. Input is done through the terminal interface.

[0678] Input: User generation conditions

[0679] Output: Data on the generation conditions (e.g., "Historical setting: Middle Ages," "Character: Dragon," "Emotion: Surprise")

[0680] Specific operation: The user opens a browser on their device and accesses the form for the picture book generation application. They enter the "historical background," "characters," and "emotions," and click the "Generate" button.

[0681] Step 2:

[0682] (emotion recognition)

[0683] The emotion engine installed in the device analyzes the user's facial expressions and voice input to recognize the user's emotions. The emotion recognition engine uses a face detection algorithm (e.g., OpenCV) or a voice recognition algorithm.

[0684] Input: User's facial expression data or voice data

[0685] Output: Parsed emotion data

[0686] Specific operation: The user turns on the camera, the device captures and analyzes the user's facial expressions, and the emotion engine automatically identifies the emotion "surprise" from the user's facial expressions.

[0687] Step 3:

[0688] (Sending conditions and emotions)

[0689] The device sends the conditions entered by the user and the emotional information recognized by the emotion engine to the server, where the data is packaged in JSON format.

[0690] Input: Data on generation conditions and emotion data

[0691] Output: JSON data sent to the server

[0692] Specific operation: The device converts the user's input data and emotion data into JSON format and sends a POST request to the server. For example, it sends the JSON data {"Historical setting": "Medieval", "Character": "Dragon", "Emotion": "Surprised"}.

[0693] Step 4:

[0694] (receive and analyze)

[0695] The server receives and analyzes the data sent from the device. The data analysis engine then formats the data into an appropriate format so that it can be used by the generative AI model.

[0696] Input: JSON format generation conditions and emotion data

[0697] Output: Analyzed data to feed into a generative AI model

[0698] Specific operation: The server parses the received JSON data and extracts "Historical setting: Middle Ages," "Character: Dragon," and "Emotion: Surprise" as individual variables.

[0699] Step 5:

[0700] (Story generation)

[0701] A generative AI model installed on the server generates a new picture book story based on the analyzed conditions and emotions. The generative AI model typically uses an advanced natural language generation model such as GPT-3.

[0702] Input: Analyzed generation conditions and emotion data

[0703] Output: Text data of the generated picture book story

[0704] How it works: The generative AI model generates text for a new picture book story based on the inputs "medieval," "dragon," and "surprise."

[0705] Step 6:

[0706] (Illustration generation)

[0707] The server generates appropriate illustrations according to the generated picture book story using an illustration generation means (e.g., DALL-E).

[0708] Input: Generated picture book story

[0709] Output: Generated illustration

[0710] What it does: The image generation engine generates illustrations of a "medieval castle" and a "dragon with a surprised expression."

[0711] Step 7:

[0712] (Conversion to e-book format)

[0713] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). For this purpose, an e-book generation engine (e.g., Calibre) is used.

[0714] Input: Generated story and illustrations

[0715] Output: eBook file (EPUB or PDF)

[0716] Specific operation: The server lays out the story and illustrations in the appropriate format and generates an e-book file.

[0717] Step 8:

[0718] (Generate and send download links)

[0719] The generated e-book is stored in the server's storage and a download link is provided to the user's device.

[0720] Input: e-book file

[0721] Output: A download link sent to the user's device

[0722] Specific operation: The server sends a response to the user's device containing a download link for the generated e-book. The user uses this link to download the e-book.

[0723] (Application example 2)

[0724] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0725] Conventional picture book generation systems generate stories only under certain conditions based on user input, and are unable to reflect individual users' emotions or real-time states. Furthermore, because the generated stories are fixed, they lack novelty for users and are difficult to provide a personalized reading experience. This poses a challenge: they are unable to meet the diverse needs of users and provide a truly immersive reading experience.

[0726] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0727] In this invention, the server includes means for inputting generation conditions, means for receiving the generation conditions and having a generation AI model for generating a picture book story based on the generation conditions, means for generating illustrations according to the generated picture book story, means for converting the generated picture book story and illustrations into an e-book format, means for transmitting the converted e-book to a user's terminal, means for analyzing the user's emotions, and means for adapting the generated story and illustrations based on the emotions, thereby enabling the generation of personalized picture book stories and illustrations based on the user's input conditions and the results of real-time emotion analysis.

[0728] "Means for inputting creation conditions" refers to a device or interface that allows a user to input conditions for the picture book to be created.

[0729] "Means having a generative AI model that receives generation conditions and generates a picture book story based on them" refers to a device or system that receives conditions entered by a user and has a generative AI model that creates a picture book story based on those conditions.

[0730] The term "means for generating illustrations according to the generated picture book story" refers to a device or system for creating illustrations suitable for the generated picture book story.

[0731] "Means for converting the generated picture book story and illustrations into an e-book format" refers to a device or system that converts the generated picture book story and illustrations into an e-book format.

[0732] The "means for transmitting the converted electronic book to the user's terminal" refers to a device or system for delivering the converted electronic book to the user's terminal.

[0733] The "means for analyzing the user's emotions" refers to a device or system used to analyze the user's emotions.

[0734] "Means for adapting generated story and illustrations based on emotions" refers to a device or system that adjusts picture book stories and illustrations based on analyzed emotional information.

[0735] System Program

[0736] This invention provides a system for generating personalized picture book stories and illustrations by combining user-entered generation conditions with real-time analyzed emotional data. The program processing of this system is explained below.

[0737] Program processing explanation

[0738] 1. Generation condition input method

[0739] The user uses a smartphone to input the conditions for creating a picture book. Specifically, information such as the historical setting and characters is sent through an input form. The input conditions are text data such as "Historical setting: future" and "Characters: robots."

[0740] 2. User sentiment analysis method

[0741] The smartphone's camera and microphone are used to analyze the user's emotions. The emotion engine analyzes the user's facial expressions and voice in real time to obtain emotional data. This emotional data is expressed as emotion labels such as "fun" or "surprise." Emotion analysis is performed using emotion recognition software that runs on the smartphone.

[0742] 3. Conditional Receiving and Analysis Methods

[0743] The generation conditions and emotion data sent from the smartphone device are sent to a server. The server receives the data in a standard data format such as JSON and analyzes it. The analysis results are used as parameters to input into the generative AI model.

[0744] 4. Generative AI Model Means

[0745] A generative AI model installed on the server generates a new picture book story based on the received generation conditions and emotional data. The generative AI model uses natural language processing technology and generative models. For example, it could generate a "fun adventure story with a robot as the main character in a futuristic world."

[0746] 5. Illustration Generation Method

[0747] The server-side generation engine also creates illustrations that fit the story and the user's emotions. For example, illustrations of a "future cityscape" and a "fun-looking robot" are generated.

[0748] 6. E-book format conversion methods

[0749] The generated story and illustrations are converted into an e-book format (e.g., EPUB or PDF). The e-book generation engine performs this conversion and arranges the story and illustrations in an appropriate layout.

[0750] 7. Means of transmission to user terminal

[0751] The final e-book is stored in the server's storage, and the server then provides a download link to the user's smartphone device, allowing the user to obtain the e-book via this download link.

[0752] Examples of concrete examples and prompts

[0753] For example, if a user inputs "Historical setting: future" and "Character: robot" into a smartphone app and the emotion engine recognizes this as "fun," the following prompt sentence can be input into the generative AI model to generate a picture book story.

[0754] Prompt Sentence Examples

[0755] Time period: Future, Characters: Robots, Emotions: Fun

[0756] Generate a story.

[0757] Based on this prompt, the generative AI model generates a fun adventure story about a robot in a future world, along with illustrations to accompany the story. Finally, the generated content is converted into an e-book and provided to the user's smartphone as a download link.

[0758] The above process realizes a system that allows users to enjoy personalized picture book stories based on their individual emotions and input conditions.

[0759] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0760] Step 1:

[0761] Users use their smartphone to input the conditions for creating a picture book (e.g., historical setting, characters). Specifically, they submit information such as "historical setting: future" and "characters: robots" via the app's input form.

[0762] Input: User-entered generation conditions (historical setting, characters)

[0763] Output: Data including generation conditions (e.g., "Time background: future", "Character: robot")

[0764] Step 2:

[0765] Using the smartphone's camera and microphone, the system analyzes the user's facial expressions and voice in real time to obtain emotional data. The emotion engine analyzes the user's facial expressions and voice tone and outputs emotional labels such as "fun" or "surprise."

[0766] Input: User's facial expression data, voice data

[0767] Output: Emotion label (e.g. "fun")

[0768] Step 3:

[0769] The smartphone device sends the generation conditions and emotion data acquired in steps 1 and 2 to the server in JSON format. The server receives and analyzes this JSON data.

[0770] Input: Generation condition data, emotion data (JSON format)

[0771] Output: Analyzed generation conditions and emotion data

[0772] Step 4:

[0773] The server inputs prompt text into the generative AI model based on the analyzed generation conditions and emotion data, and generates a new picture book story. The generative AI model uses natural language processing technology to generate a story that matches the input conditions. For example, it generates a story based on the prompt text "Historical setting: future, Characters: robots, Emotion: fun."

[0774] Input: Analyzed generation conditions, emotion data, and prompt (e.g., "Time setting: future, character: robot, emotion: fun")

[0775] Output: Generated picture book story

[0776] Step 5:

[0777] The server generates illustrations that fit the generated picture book story. The illustration generation engine generates illustrations, such as a "future cityscape" and a "robot protagonist," based on the story content and emotion data.

[0778] Input: Generated picture book story, emotion data

[0779] Output: Illustration data

[0780] Step 6:

[0781] The server converts the generated picture book story and illustration data into an e-book format, and the e-book generation engine appropriately lays out the story and illustrations in a format such as EPUB or PDF.

[0782] Input: Generated picture book story and illustration data

[0783] Output: eBook file (e.g. EPUB, PDF)

[0784] Step 7:

[0785] The server provides a download link to send the converted e-book to the user's smartphone, and the user clicks the provided link to download the e-book and view it on the smartphone's e-reader.

[0786] Input: Converted eBook file

[0787] Output: Download link (user-accessible URL)

[0788] Through these steps, users can obtain personalized picture book stories and illustrations based on their individual emotions and input conditions, allowing them to enjoy reading.

[0789] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0790] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0791] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0792] [Third embodiment]

[0793] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0794] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0795] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0796] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0797] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0798] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0799] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0800] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0801] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0802] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0803] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0804] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0805] The present invention is a system for generating picture book stories based on specific conditions. The system consists of the following main components:

[0806] 1. Generation condition input means (terminal):

[0807] The user uses the device to input the conditions for the picture book to be created. Specifically, they fill in information such as the historical setting and characters in an input form. For example, the user selects "Historical setting: future" and "Characters: robots."

[0808] 2. Conditional receiving and analysis means (server):

[0809] The conditions entered by the user are sent from the device to the server, which receives them and parses them in an appropriate format. The results of this analysis are prepared as parameters for use by the generative AI model.

[0810] 3. Generative AI model means (server):

[0811] The generative AI model installed on the server generates new picture book stories based on the analyzed conditions. For example, a new story about a robot in a future world could be generated based on the public domain story of "Little Red Riding Hood."

[0812] 4. Illustration generation means (server):

[0813] The generative AI model creates illustrations based on the generated story, for example, an illustration depicting a "future cityscape" and a "robot protagonist."

[0814] 5. E-book format conversion means (server):

[0815] The server converts the generated story and illustrations into e-book formats, such as EPUB and PDF, and arranges the generated story and illustrations according to a predefined template.

[0816] 6. Transmission method to user terminal (server):

[0817] The generated e-book file is sent from the server to the user's device, and the user can download and view the e-book by clicking the link.

[0818] Specific examples

[0819] For example, suppose a user enters the following conditions: "Historical setting: Middle Ages" and "Character: Dragon." The user enters these conditions into the device interface and clicks the "Generate" button. The device then sends the entered conditions to the server in JSON format.

[0820] The server analyzes the received JSON data and has the generative AI model generate a new picture book story based on the "Middle Ages" and "dragons." For example, based on the story of "Little Red Riding Hood," a new story set in a medieval world with a dragon as the main character is generated. At the same time, the AI ​​creates new illustrations featuring a medieval castle and a dragon as the main character.

[0821] These generated stories and illustrations are converted into e-book format and sent from the server to the user's device. The user can download the generated e-book and start reading it on their e-reader. For example, they can enjoy an adventure picture book set in the Middle Ages with a dragon as the main character.

[0822] This system allows users to easily create fresh, different picture books each time and enjoy reading them aloud or as a book.

[0823] The processing flow will be explained below.

[0824] Step 1:

[0825] The user accesses the device and opens the interface of the picture book generation site. The user enters the generation conditions (for example, historical setting and characters) into an input form. The conditions entered are "Historical setting: future" and "Characters: robots."

[0826] Step 2:

[0827] The device packages the creation conditions entered by the user in JSON format, including information on the historical background and characters, and sends the packaged JSON data to the server via an API endpoint.

[0828] Step 3:

[0829] The server analyzes the received JSON data. Specifically, it breaks down the data and determines that the time period is "future" and the characters are "robots." Based on this, the server sets the parameters to be passed to the generative AI model.

[0830] Step 4:

[0831] The generative AI model generates a new picture book story based on parameters (time setting: future, characters: robots) passed from the server. For example, based on the public domain "Little Red Riding Hood," it generates a new story in which a robot is the protagonist in a future world.

[0832] Step 5:

[0833] The generative AI model generates illustrations to fit a new story, specifically depicting a "future cityscape" and a "robot protagonist." These illustrations are generated to perfectly match the user-specified criteria.

[0834] Step 6:

[0835] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). This conversion is done according to a template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[0836] Step 7:

[0837] The converted e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[0838] Step 8:

[0839] The device receives the response from the server and displays a download link to the user, who can click on this link to download the e-book file to the device.

[0840] Step 9:

[0841] Users can open the downloaded e-book file in an e-book reader application and start reading. For example, they can enjoy an adventure picture book set in a futuristic world, with a robot as the main character.

[0842] In this way, the system uses generative AI to generate a new picture book based on user input and quickly completes a series of processes to provide it to the user.

[0843] Example 1

[0844] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0845] Previous picture book generation systems lacked the ability to quickly and efficiently generate picture books based on specific user requirements. Furthermore, the process of appropriately combining the generated story and illustrations and converting them into an e-book format required time and effort, making it difficult to immediately meet user needs. Furthermore, they lacked the flexibility to generate new stories based on existing public domain picture book stories in order to provide unique and fresh content.

[0846] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0847] In this invention, the server includes terminal means for a user to input picture book creation conditions, server means for receiving and analyzing the creation conditions sent from the terminal, server means having a generation AI model for creating a picture book story based on the analyzed creation conditions, server means for creating illustrations corresponding to the created picture book story, server means for converting the created picture book story and illustrations into an e-book format, and server means for sending the converted e-book to the user's terminal. This allows a user to instantly create an original picture book based on specific conditions and easily receive it in e-book format.

[0848] The "user" is an entity that uses a terminal means to input the conditions for creating a picture book and receives the created electronic book.

[0849] The "terminal means" refers to a system part including a device and interface for a user to input generation conditions. Specifically, it refers to an electronic device such as a personal computer or smartphone.

[0850] The "server means" is a central control system that receives, analyzes, and processes data sent from the terminals.

[0851] A "generative AI model" is an artificial intelligence algorithm used to generate new picture book stories based on specified generation criteria.

[0852] The "creation conditions" are information input by the user to determine the characteristics of the picture book, and include the historical background and characters.

[0853] "Analysis" is the process by which the server means understands the generation conditions received from the terminal means and converts them into a format that can be used by the generative AI model.

[0854] "Illustrations" are images that add visual elements to the generated picture book story.

[0855] "E-book format" refers to the data format used to convert the generated picture book story and illustrations into a digital format (e.g., EPUB, PDF).

[0856] "Transmission" refers to a data transmission means performed by the server means to provide the generated electronic book to the user's terminal means.

[0857] "Reception" is a process in which the server means acquires the data of the generation conditions sent from the user's terminal means.

[0858] "Conversion" is the process of compiling the generated picture book story and illustrations into an e-book format.

[0859] The present invention is a system for generating picture book stories based on specific conditions, and is composed of the following main components:

[0860] 1. Generation condition input means (terminal)

[0861] The user inputs the conditions for the picture book to be created using a terminal, which is a creation condition input means. This terminal is provided with an interface for the user to input information such as "historical setting" and "characters." For example, the user can input specific conditions such as "historical setting: future" and "characters: robots."

[0862] 2. Conditional reception and analysis method (server)

[0863] The server receives and analyzes the generation conditions sent from the device. These analyzed conditions are prepared as parameters for use by the generative AI model. The server analyzes the generation conditions and formats the data.

[0864] 3. Generative AI model means (server)

[0865] Based on the analyzed conditions, a generative AI model installed on the server generates a new picture book story. For example, based on the conditions "time setting: future" and "characters: robots" entered by the user, it generates a story set in a future world with a robot as the protagonist.

[0866] 4. Illustration generation means (server)

[0867] The server is equipped with a means to create illustrations that correspond to the generated picture book story. The generative AI model generates illustrations that suit the story based on the conditions. For example, it generates specific visual elements such as a "future cityscape" or a "robot protagonist."

[0868] 5. E-book format conversion means (server)

[0869] The server converts the generated picture book story and corresponding illustrations into e-book formats, including EPUB and PDF, and lays them out according to a predefined template.

[0870] 6. Transmission method to user terminal (server)

[0871] The generated e-book file is sent from the server to the user's device, and the user can download and view the e-book by clicking the link.

[0872] Specific examples

[0873] For example, suppose a user inputs the following conditions: "Historical setting: Middle Ages" and "Character: Dragon." After entering these conditions into the device interface, the user clicks the "Generate" button. The device sends the input conditions to the server, which receives and analyzes the data. Based on the analysis results, the generative AI model generates a new picture book story.

[0874] Specifically, a new story set in a medieval world with a dragon as the main character is generated based on the story of Little Red Riding Hood. At the same time, the server generates illustrations of medieval castles and dragons. The generated story and illustrations are converted into e-book format and sent from the server to the user's device.

[0875] Users can download the generated e-book and start reading it on their e-reader, for example, enjoying a medieval picture book adventure with a dragon as the hero.

[0876] Prompt Sentence Examples

[0877] Examples of prompts for generative AI models include:

[0878] "Generate a story set in a futuristic world with a robot protagonist. Include the following details: futuristic cityscape, robot characters, action and adventure."

[0879] This system allows users to easily create fresh, different picture books each time and enjoy reading them aloud or as a book.

[0880] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0881] Step 1:

[0882] The user enters the conditions

[0883] The user inputs the conditions for the picture book to be generated using the device's web interface. The input contents include "historical setting" and "characters." For example, the user enters "future" and "robot" into the input form. The conditions are created in JSON format as input data.

[0884] Specific behavior:

[0885] The user fills in the form with the conditions and clicks the [Generate] button. Once the input is complete, the conditions are compiled in JSON format.

[0886] Input and Output:

[0887] Input: "Historical background" and "Characters" entered by the user

[0888] Output: Input condition data in JSON format

[0889] Step 2:

[0890] The device sends the conditions to the server

[0891] The terminal sends the conditions entered by the user to the server in JSON format. An AJAX request is used, and the data is sent to the server asynchronously.

[0892] Specific behavior:

[0893] The JavaScript code on the device runs, processes the JSON data to be sent, and sends it to the server via an HTTP POST request.

[0894] Input and Output:

[0895] Input: Condition data in JSON format

[0896] Output: HTTP request sent to the server

[0897] Step 3:

[0898] The server receives and analyzes the conditions

[0899] The server receives the JSON data sent from the device and analyzes the conditions. The analysis results are prepared as parameters to be used by the generative AI model.

[0900] Specific behavior:

[0901] The server takes the JSON data from the request body and deserializes it to convert it into structured data.

[0902] Input and Output:

[0903] Input: JSON data received from the terminal

[0904] Output: Parameters for the generative AI model

[0905] Step 4:

[0906] The server generates a picture book story

[0907] The generative AI model installed on the server generates a new picture book story based on the analyzed conditions. To do this, the AI ​​model is given prompts to generate.

[0908] Specific behavior:

[0909] The server passes the prompt to the generative AI model: "Generate a story about a futuristic robot as the protagonist," and the model creates a story based on this instruction.

[0910] Input and Output:

[0911] Input: Prompt (e.g., "Generate a story set in the future with a robot as the protagonist.")

[0912] Output: New picture book story

[0913] Step 5:

[0914] The server generates the illustrations

[0915] The server uses the generative AI model to create illustrations that correspond to the generated picture book story.

[0916] Specific behavior:

[0917] The generative AI model is given the prompt, "Please create an illustration of a futuristic cityscape with a robot protagonist," and the AI ​​generates the illustration.

[0918] Input and Output:

[0919] Input: Prompt (e.g., "Please create an illustration of a futuristic cityscape with a robot protagonist.")

[0920] Output: Generated illustration

[0921] Step 6:

[0922] The server converts it into an e-book format.

[0923] The server combines the generated story and illustrations, converts them into e-book format (EPUB or PDF), and arranges the layout using a template.

[0924] Specific behavior:

[0925] The server integrates the story and illustrations with an e-book tool, sets the layout, and generates an EPUB or PDF file.

[0926] Input and Output:

[0927] Input: Generated picture book story and illustrations

[0928] Output: eBook file in EPUB or PDF format

[0929] Step 7:

[0930] The server sends the e-book to the user's device.

[0931] The server sends the generated e-book file to the user's device, where the user can click a link to download and view the file.

[0932] Specific behavior:

[0933] The server generates a download link for the generated electronic book file and transmits it to the user's terminal.

[0934] Input and Output:

[0935] Input: Generated e-book file

[0936] Output: The download link sent to the user's device.

[0937] (Application example 1)

[0938] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0939] In conventional picture book generation systems, even if users specified multiple conditions at once, the content generated was limited. Furthermore, there was no environment in place for users to easily purchase, download, and immediately view the generated content. Furthermore, the interactive experience within the virtual store was insufficient, preventing an improved user experience. This made it difficult to provide personalized content that met diverse needs.

[0940] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0941] In this invention, the server includes a means for inputting creation conditions, a means having a creation AI model that receives the creation conditions and generates a picture book story based on the creation conditions, and a means for generating illustrations corresponding to the created picture book story. The server also includes a means for converting the created picture book story and illustrations into an e-book format, a means for sending the converted e-book to a user's device, and a means for making the e-book available for purchase and download in a virtual store. This allows users to create customized picture books based on various conditions, and instantly purchase, download, and view them in a virtual store.

[0942] "Generation condition input means" refers to an interface that allows a user to input conditions related to the picture book to be generated (e.g., historical setting, characters, etc.).

[0943] The "condition receiving and analyzing means" is a means for receiving conditions entered by the user, analyzing them, and converting them into a format that can be used by the generative AI model.

[0944] "Generative AI model means" refers to an artificial intelligence model that automatically generates new picture book stories based on the analyzed conditions.

[0945] The "illustration generating means" is a means for automatically generating illustrations according to the generated picture book story.

[0946] The "electronic book format conversion means" is a means for converting the generated picture book story and illustrations into an electronic book format such as EPUB or PDF.

[0947] The "means for transmitting to the user terminal" is a means for transmitting the generated electronic book to the user's terminal.

[0948] "Means for enabling purchase and download within a virtual store" refers to means for enabling users to easily purchase and download the generated e-books within a virtual space.

[0949] The present invention provides a system that generates picture book stories based on specific conditions and allows them to be purchased and downloaded from a virtual store.

[0950] System configuration

[0951] The system consists of the following main components:

[0952] 1. Generation condition input means (user terminal):

[0953] The user inputs the conditions for creating a picture book using an input interface provided on the device. For example, the user may set conditions such as "time setting: future" and "characters: robots."

[0954] 2. Conditional receiving and analysis means (server):

[0955] The conditions entered by the user are sent from the device to the server, which receives them, analyzes them, and converts them into a format that the generative AI model can use, such as JSON.

[0956] 3. Generative AI model means (server):

[0957] The generative AI model installed on the server generates a new picture book story based on the analyzed conditions. A large-scale language model such as GPT-4 is used as the generative AI model.

[0958] 4. Illustration generation means (server):

[0959] The generative AI model generates illustrations based on the generated story. Image generation AI such as DALL-E is used to generate the illustrations.

[0960] 5. E-book format conversion means (server):

[0961] The server converts the generated story and illustrations into e-book formats (EPUB, PDF, etc.) using software such as Calibre.

[0962] 6. Transmission method to user terminal (server):

[0963] The generated e-book file is sent from the server to the user's device, and the user can download the e-book by clicking the link and view it in the virtual store.

[0964] 7. Means for enabling purchases and downloads within the virtual store (user terminals, servers):

[0965] It provides a function that allows users to easily purchase and download generated e-books within the virtual store.

[0966] Specific examples

[0967] For example, a user enters the following conditions: "Historical setting: future" and "Character: robot." The user enters these conditions into the device interface and clicks the "Generate" button. The device then sends the entered conditions to the server in JSON format.

[0968] Prompt Sentence Examples

[0969] "Generate a new picture book story based on the user-entered conditions: 'future' and 'robot'. The original story is 'Little Red Riding Hood.'"

[0970] The server analyzes the received JSON data and has the generative AI model generate a new picture book story based on the concepts of "future" and "robot." At the same time, the AI ​​creates new illustrations featuring a futuristic cityscape and a robot as the main character. These generated stories and illustrations are converted into e-book format and sent from the server to the user's device.

[0971] Users can purchase and download the generated e-books in the virtual store and view them using a smartphone or head-mounted display. This system allows users to easily generate fresh, different picture books each time, and purchase and enjoy them in the virtual store.

[0972] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0973] Program processing flow

[0974] Step 1:

[0975] The user opens a screen on their device where they can enter the conditions for creating a picture book (e.g., historical setting, characters). They enter "Historical setting: future" and "Characters: robots" and click the "Generate" button. The entered conditions are prepared as JSON format data.

[0976] Step 2:

[0977] The device sends input data (in JSON format) to the server. The server analyzes the received data and extracts conditions such as "time setting: future" and "characters: robots." The server generates a prompt based on the analysis results.

[0978] Step 3:

[0979] The server inputs the generated prompt into a generative AI model (such as GPT-4) to generate a new picture book story. For example, the prompt might be, "Generate a new picture book story set in the future, with a robot as the main character. The original story is 'Little Red Riding Hood.'"

[0980] Step 4:

[0981] The generative AI model generates a picture book story based on the prompt sentence and returns it to the server, which receives the story and prepares it for the next step of illustration generation.

[0982] Step 5:

[0983] Based on the generated story, the server sends prompts to an illustration generation AI (such as DALL-E) to generate illustrations. For example, the prompt might be, "Draw a scene of a robot having an adventure with a futuristic cityscape as the background."

[0984] Step 6:

[0985] The illustration generation AI generates illustrations based on the specified prompts and returns them to the server, which then receives the illustrations and integrates them into an e-book format.

[0986] Step 7:

[0987] The server integrates the generated story and illustrations and converts them into an e-book using software such as Calibre. The format can be EPUB or PDF. The generated e-book file is then saved.

[0988] Step 8:

[0989] The server sends the generated e-book file to the user's device, allowing the user to purchase and download it from the virtual store. The user can browse e-books in the virtual store and purchase them using virtual currency or an electronic payment system.

[0990] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0991] The present invention combines a system for generating picture book stories based on generation conditions with an emotion engine that recognizes the user's emotions. This system is composed of the following main components:

[0992] 1. Generation condition input means (terminal):

[0993] The user uses the device to input the conditions for the picture book to be generated. Specifically, the user fills in information such as the historical setting, characters, and the user's emotions in an input form. For example, the user selects "Historical setting: future," "Characters: robots," and the user's emotion is "fun."

[0994] 2. Emotion engine means (terminal):

[0995] The emotion engine installed in the device analyzes the user's facial expressions and voice input to recognize the user's emotions. For example, if the user is smiling, this information is recognized as the emotion of "fun."

[0996] 3. Conditional receiving and analysis means (server):

[0997] The conditions entered by the user and the emotions recognized by the emotion engine are sent from the device to the server, which receives them and parses them in an appropriate format. The results of this analysis are prepared as parameters for use by the generative AI model.

[0998] 4. Generative AI model means (server):

[0999] The generative AI model installed on the server generates new picture book stories based on the analyzed conditions and emotions. For example, it generates a new story based on the public domain "Little Red Riding Hood," which is "fun" and "set in a futuristic world with a robot as the main character."

[1000] 5. Illustration generation means (server):

[1001] The generative AI model generates illustrations to fit the new story. Specifically, it generates bright and cheerful illustrations depicting a "future cityscape" and a "robot protagonist." These illustrations are generated to match the user's emotions.

[1002] 6. E-book format conversion means (server):

[1003] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). This conversion is done according to a template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[1004] 7. Transmission method to user terminal (server):

[1005] The generated e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[1006] Specific examples

[1007] For example, suppose a user inputs the following conditions: "Historical setting: Medieval," "Character: Dragon," and "Emotion: Surprise." The user enters these conditions into the device interface and clicks the "Generate" button. At the same time, the emotion engine recognizes the emotion of "surprise" from the user's facial expression. The device then sends these conditions and emotion information in JSON format to the server.

[1008] The server parses the received JSON data and has the generative AI model generate a new picture book story based on "medieval," "dragon," and "surprise." For example, a new story based on the public domain "Little Red Riding Hood" is generated, in which a dragon goes on a surprising adventure in a medieval world. At the same time, the AI ​​creates new illustrations depicting a medieval castle and a dragon with a surprised expression.

[1009] The generated story and illustrations are converted into an e-book format and sent from the server to the user's device. The user can then download the e-book and begin reading it on their e-reader. For example, they can enjoy a picture book about a dragon's amazing adventures in the Middle Ages.

[1010] This system allows users to easily generate fresh picture books that are different each time according to their emotions, allowing them to enjoy reading aloud or reading. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more personalized experience.

[1011] The processing flow will be explained below.

[1012] Step 1:

[1013] The user accesses the terminal and opens the interface of the picture book generation site. The user enters the generation conditions (e.g., historical setting, characters, emotions) into an input form. The user selects "Historical setting: future," "Characters: robots," and "Emotions: fun" as the conditions.

[1014] Step 2:

[1015] The emotion engine uses the device's camera and microphone to analyze the user's facial expressions and voice to recognize their emotions. For example, if the user is smiling, the emotion engine will recognize that they are "happy."

[1016] Step 3:

[1017] The device packages the generation conditions entered by the user and the emotions recognized by the emotion engine in JSON format, including the historical background, characters, and the user's emotions. The device then sends the packaged JSON data to the server via an API endpoint.

[1018] Step 4:

[1019] The server analyzes the received JSON data. Specifically, it determines that the time period is "future," the characters are "robots," and the emotion is "fun." Based on this, the server sets the parameters to be passed to the generative AI model.

[1020] Step 5:

[1021] The generative AI model generates a new picture book story based on parameters passed from the server (time setting: future, characters: robots, emotions: fun). For example, based on the public domain "Little Red Riding Hood," it generates a new story about "a robot having a fun adventure in a future world."

[1022] Step 6:

[1023] The generative AI model generates illustrations to fit the new story. Specifically, it generates illustrations depicting a "future cityscape" and a "robot protagonist" in a bright and cheerful tone. The illustrations are set to match the user's emotions.

[1024] Step 7:

[1025] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF) based on a specified template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[1026] Step 8:

[1027] The converted e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[1028] Step 9:

[1029] The device receives the response from the server and displays a download link to the user, who can click on this link to download the e-book file to the device.

[1030] Step 10:

[1031] Users can open the downloaded e-book file in an e-book reader application and start reading. For example, they can enjoy a picture book about a robot's fun adventures in a futuristic world.

[1032] In this way, the system uses generative AI to generate a new picture book based on the user's emotions and provides it to the user in a short amount of time, allowing users to easily generate fresh picture books that adapt to their emotions and enjoy reading aloud or reading.

[1033] Example 2

[1034] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1035] Conventional picture book generation systems often provide uniform content and illustrations without considering the user's emotions. This has the problem of resulting in content that is not personalized and unfamiliar to the user. This makes it difficult to stimulate the user's interest and curiosity, especially in picture books for children. Furthermore, the technology for generating content that responds to the user's emotions is immature, and the generated picture books often fail to meet the user's expectations.

[1036] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1037] In this invention, the server includes means for inputting creation conditions, means for recognizing a user's emotions, means having a creation AI model for receiving the creation conditions and creating a picture book story based on the creation conditions, means for creating illustrations according to the created picture book story, means for converting the created picture book story and illustrations into an e-book format, and means for transmitting the converted e-book to the user's terminal, thereby enabling the creation of a personalized picture book according to the user's emotions.

[1038] The "creation conditions" are information input by the user that is necessary for generating a picture book story, and include the historical background, characters, emotions, and the like.

[1039] A "generative AI model" is an artificial intelligence algorithm that generates new picture book stories based on input conditions.

[1040] "Illustration generation means" refers to a technology or device for creating illustrations that correspond to the picture book story generated by the generative AI model.

[1041] "E-book format" means a digital file format (e.g., EPUB or PDF) in which the generated story and illustrations are appropriately arranged and can be distributed as an e-book.

[1042] "Emotion recognition means" refers to a technology or device for analyzing a user's facial expressions and voice and identifying the user's emotions.

[1043] "Public domain picture book stories" refer to picture book stories that are free to use because they are out of copyright or there is no copyright.

[1044] The "means for transmitting to the user terminal" refers to a technique or process for transferring the generated electronic book to the user's terminal.

[1045] "Historical background" refers to the specific historical setting or period in which the picture book story unfolds.

[1046] "Characters" are the main characters that appear in the picture book story.

[1047] "User emotion" refers to the user's psychological state and is identified through emotion recognition means.

[1048] "Personalization" means customizing to the particular needs and preferences of individual users.

[1049] The present invention relates to a system for generating picture book stories based on user input conditions and emotions. This system operates in cooperation with a terminal and a server, and provides personalized picture books to users.

[1050] First, the user uses the device to input the conditions for creating a picture book. The input conditions include the historical setting, characters, and emotions. This information is collected through an input form on the device. For example, conditions such as "Historical setting: Middle Ages," "Character: Dragon," and "Emotion: Surprise" can be input. The user's emotions are recognized by an emotion engine (e.g., OpenCV) installed on the device. Emotion recognition is performed by analyzing emotions from the user's facial expressions and voice input.

[1051] The device sends the user-entered conditions and the recognized emotions in JSON format to the server. The server receives this data and formats it appropriately using an analysis engine. Next, a generative AI model (e.g., GPT-3) installed on the server generates a new picture book story based on the analyzed data. This generative AI model creates new stories based on public domain picture book stories.

[1052] The server uses an illustration generator (e.g., DALL-E) to generate appropriate illustrations based on the generated story. For example, illustrations depicting a "medieval castle" and a "dragon with a surprised expression" are generated. The generated story and illustrations are then converted into an e-book format (e.g., EPUB or PDF). For this purpose, an e-book generation engine (e.g., Calibre) is used.

[1053] Finally, the generated e-book is stored in the server's storage, and a download link is provided to the user's device, allowing the user to obtain the generated e-book using the download link and view it on an e-book reader.

[1054] As a concrete example, consider the case where a picture book story and illustrations are generated in response to the following prompt:

[1055] Historical setting: Middle Ages

[1056] Characters: Dragon

[1057] Emotion: Surprise

[1058] Generate a new picture book story. This story revolves around a dragon, a startling character set in a medieval setting.

[1059] This system allows users to easily generate fresh picture books that are different each time based on their emotions and preferences, allowing them to enjoy reading aloud or reading. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more personalized experience.

[1060] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1061] Step 1:

[1062] (Condition input)

[1063] The user inputs the conditions for creating a picture book using a terminal. These conditions include the historical background, characters, and emotions. Input is done through the terminal interface.

[1064] Input: User generation conditions

[1065] Output: Data on the generation conditions (e.g., "Historical setting: Middle Ages," "Character: Dragon," "Emotion: Surprise")

[1066] Specific operation: The user opens a browser on their device and accesses the form for the picture book generation application. They enter the "historical background," "characters," and "emotions," and click the "Generate" button.

[1067] Step 2:

[1068] (emotion recognition)

[1069] The emotion engine installed in the device analyzes the user's facial expressions and voice input to recognize the user's emotions. The emotion recognition engine uses a face detection algorithm (e.g., OpenCV) or a voice recognition algorithm.

[1070] Input: User's facial expression data or voice data

[1071] Output: Parsed emotion data

[1072] Specific operation: The user turns on the camera, the device captures and analyzes the user's facial expressions, and the emotion engine automatically identifies the emotion "surprise" from the user's facial expressions.

[1073] Step 3:

[1074] (Sending conditions and emotions)

[1075] The device sends the conditions entered by the user and the emotional information recognized by the emotion engine to the server, where the data is packaged in JSON format.

[1076] Input: Data on generation conditions and emotion data

[1077] Output: JSON data sent to the server

[1078] Specific operation: The device converts the user's input data and emotion data into JSON format and sends a POST request to the server. For example, it sends the JSON data {"Historical setting": "Medieval", "Character": "Dragon", "Emotion": "Surprised"}.

[1079] Step 4:

[1080] (receive and analyze)

[1081] The server receives and analyzes the data sent from the device. The data analysis engine then formats the data into an appropriate format so that it can be used by the generative AI model.

[1082] Input: JSON format generation conditions and emotion data

[1083] Output: Analyzed data to feed into a generative AI model

[1084] Specific operation: The server parses the received JSON data and extracts "Historical setting: Middle Ages," "Character: Dragon," and "Emotion: Surprise" as individual variables.

[1085] Step 5:

[1086] (Story generation)

[1087] A generative AI model installed on the server generates a new picture book story based on the analyzed conditions and emotions. The generative AI model typically uses an advanced natural language generation model such as GPT-3.

[1088] Input: Analyzed generation conditions and emotion data

[1089] Output: Text data of the generated picture book story

[1090] How it works: The generative AI model generates text for a new picture book story based on the inputs "medieval," "dragon," and "surprise."

[1091] Step 6:

[1092] (Illustration generation)

[1093] The server generates appropriate illustrations according to the generated picture book story using an illustration generation means (e.g., DALL-E).

[1094] Input: Generated picture book story

[1095] Output: Generated illustration

[1096] What it does: The image generation engine generates illustrations of a "medieval castle" and a "dragon with a surprised expression."

[1097] Step 7:

[1098] (Conversion to e-book format)

[1099] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). For this purpose, an e-book generation engine (e.g., Calibre) is used.

[1100] Input: Generated story and illustrations

[1101] Output: eBook file (EPUB or PDF)

[1102] Specific operation: The server lays out the story and illustrations in the appropriate format and generates an e-book file.

[1103] Step 8:

[1104] (Generate and send download links)

[1105] The generated e-book is stored in the server's storage and a download link is provided to the user's device.

[1106] Input: e-book file

[1107] Output: A download link sent to the user's device

[1108] Specific operation: The server sends a response to the user's device containing a download link for the generated e-book. The user uses this link to download the e-book.

[1109] (Application example 2)

[1110] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1111] Conventional picture book generation systems generate stories only under certain conditions based on user input, and are unable to reflect individual users' emotions or real-time states. Furthermore, because the generated stories are fixed, they lack novelty for users and are difficult to provide a personalized reading experience. This poses a challenge: they are unable to meet the diverse needs of users and provide a truly immersive reading experience.

[1112] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1113] In this invention, the server includes means for inputting generation conditions, means for receiving the generation conditions and having a generation AI model for generating a picture book story based on the generation conditions, means for generating illustrations according to the generated picture book story, means for converting the generated picture book story and illustrations into an e-book format, means for transmitting the converted e-book to a user's terminal, means for analyzing the user's emotions, and means for adapting the generated story and illustrations based on the emotions, thereby enabling the generation of personalized picture book stories and illustrations based on the user's input conditions and the results of real-time emotion analysis.

[1114] "Means for inputting creation conditions" refers to a device or interface that allows a user to input conditions for the picture book to be created.

[1115] "Means having a generative AI model that receives generation conditions and generates a picture book story based on them" refers to a device or system that receives conditions entered by a user and has a generative AI model that creates a picture book story based on those conditions.

[1116] The term "means for generating illustrations according to the generated picture book story" refers to a device or system for creating illustrations suitable for the generated picture book story.

[1117] "Means for converting the generated picture book story and illustrations into an e-book format" refers to a device or system that converts the generated picture book story and illustrations into an e-book format.

[1118] The "means for transmitting the converted electronic book to the user's terminal" refers to a device or system for delivering the converted electronic book to the user's terminal.

[1119] The "means for analyzing the user's emotions" refers to a device or system used to analyze the user's emotions.

[1120] "Means for adapting generated story and illustrations based on emotions" refers to a device or system that adjusts picture book stories and illustrations based on analyzed emotional information.

[1121] System Program

[1122] This invention provides a system for generating personalized picture book stories and illustrations by combining user-entered generation conditions with real-time analyzed emotional data. The program processing of this system is explained below.

[1123] Program processing explanation

[1124] 1. Generation condition input method

[1125] The user uses a smartphone to input the conditions for creating a picture book. Specifically, information such as the historical setting and characters is sent through an input form. The input conditions are text data such as "Historical setting: future" and "Characters: robots."

[1126] 2. User sentiment analysis method

[1127] The smartphone's camera and microphone are used to analyze the user's emotions. The emotion engine analyzes the user's facial expressions and voice in real time to obtain emotional data. This emotional data is expressed as emotion labels such as "fun" or "surprise." Emotion analysis is performed using emotion recognition software that runs on the smartphone.

[1128] 3. Conditional Receiving and Analysis Methods

[1129] The generation conditions and emotion data sent from the smartphone device are sent to a server. The server receives the data in a standard data format such as JSON and analyzes it. The analysis results are used as parameters to input into the generative AI model.

[1130] 4. Generative AI Model Means

[1131] A generative AI model installed on the server generates a new picture book story based on the received generation conditions and emotional data. The generative AI model uses natural language processing technology and generative models. For example, it could generate a "fun adventure story with a robot as the main character in a futuristic world."

[1132] 5. Illustration Generation Method

[1133] The server-side generation engine also creates illustrations that fit the story and the user's emotions. For example, illustrations of a "future cityscape" and a "fun-looking robot" are generated.

[1134] 6. E-book format conversion methods

[1135] The generated story and illustrations are converted into an e-book format (e.g., EPUB or PDF). The e-book generation engine performs this conversion and arranges the story and illustrations in an appropriate layout.

[1136] 7. Means of transmission to user terminal

[1137] The final e-book is stored in the server's storage, and the server then provides a download link to the user's smartphone device, allowing the user to obtain the e-book via this download link.

[1138] Examples of concrete examples and prompts

[1139] For example, if a user inputs "Historical setting: future" and "Character: robot" into a smartphone app and the emotion engine recognizes this as "fun," the following prompt sentence can be input into the generative AI model to generate a picture book story.

[1140] Prompt Sentence Examples

[1141] Time period: Future, Characters: Robots, Emotions: Fun

[1142] Generate a story.

[1143] Based on this prompt, the generative AI model generates a fun adventure story about a robot in a future world, along with illustrations to accompany the story. Finally, the generated content is converted into an e-book and provided to the user's smartphone as a download link.

[1144] The above process realizes a system that allows users to enjoy personalized picture book stories based on their individual emotions and input conditions.

[1145] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1146] Step 1:

[1147] Users use their smartphone to input the conditions for creating a picture book (e.g., historical setting, characters). Specifically, they submit information such as "historical setting: future" and "characters: robots" via the app's input form.

[1148] Input: User-entered generation conditions (historical setting, characters)

[1149] Output: Data including generation conditions (e.g., "Time background: future", "Character: robot")

[1150] Step 2:

[1151] Using the smartphone's camera and microphone, the system analyzes the user's facial expressions and voice in real time to obtain emotional data. The emotion engine analyzes the user's facial expressions and voice tone and outputs emotional labels such as "fun" or "surprise."

[1152] Input: User's facial expression data, voice data

[1153] Output: Emotion label (e.g. "fun")

[1154] Step 3:

[1155] The smartphone device sends the generation conditions and emotion data acquired in steps 1 and 2 to the server in JSON format. The server receives and analyzes this JSON data.

[1156] Input: Generation condition data, emotion data (JSON format)

[1157] Output: Analyzed generation conditions and emotion data

[1158] Step 4:

[1159] The server inputs prompt text into the generative AI model based on the analyzed generation conditions and emotion data, and generates a new picture book story. The generative AI model uses natural language processing technology to generate a story that matches the input conditions. For example, it generates a story based on the prompt text "Historical setting: future, Characters: robots, Emotion: fun."

[1160] Input: Analyzed generation conditions, emotion data, and prompt (e.g., "Time setting: future, character: robot, emotion: fun")

[1161] Output: Generated picture book story

[1162] Step 5:

[1163] The server generates illustrations that fit the generated picture book story. The illustration generation engine generates illustrations, such as a "future cityscape" and a "robot protagonist," based on the story content and emotion data.

[1164] Input: Generated picture book story, emotion data

[1165] Output: Illustration data

[1166] Step 6:

[1167] The server converts the generated picture book story and illustration data into an e-book format, and the e-book generation engine appropriately lays out the story and illustrations in a format such as EPUB or PDF.

[1168] Input: Generated picture book story and illustration data

[1169] Output: eBook file (e.g. EPUB, PDF)

[1170] Step 7:

[1171] The server provides a download link to send the converted e-book to the user's smartphone, and the user clicks the provided link to download the e-book and view it on the smartphone's e-reader.

[1172] Input: Converted eBook file

[1173] Output: Download link (user-accessible URL)

[1174] Through these steps, users can obtain personalized picture book stories and illustrations based on their individual emotions and input conditions, allowing them to enjoy reading.

[1175] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1176] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1177] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1178] [Fourth embodiment]

[1179] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1180] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1181] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1182] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1183] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1184] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1185] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1186] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1187] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1188] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1189] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1190] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1191] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1192] The present invention is a system for generating picture book stories based on specific conditions. The system consists of the following main components:

[1193] 1. Generation condition input means (terminal):

[1194] The user uses the device to input the conditions for the picture book to be created. Specifically, they fill in information such as the historical setting and characters in an input form. For example, the user selects "Historical setting: future" and "Characters: robots."

[1195] 2. Conditional receiving and analysis means (server):

[1196] The conditions entered by the user are sent from the device to the server, which receives them and parses them in an appropriate format. The results of this analysis are prepared as parameters for use by the generative AI model.

[1197] 3. Generative AI model means (server):

[1198] The generative AI model installed on the server generates new picture book stories based on the analyzed conditions. For example, a new story about a robot in a future world could be generated based on the public domain story of "Little Red Riding Hood."

[1199] 4. Illustration generation means (server):

[1200] The generative AI model creates illustrations based on the generated story, for example, an illustration depicting a "future cityscape" and a "robot protagonist."

[1201] 5. E-book format conversion means (server):

[1202] The server converts the generated story and illustrations into e-book formats, such as EPUB and PDF, and arranges the generated story and illustrations according to a predefined template.

[1203] 6. Transmission method to user terminal (server):

[1204] The generated e-book file is sent from the server to the user's device, and the user can download and view the e-book by clicking the link.

[1205] Specific examples

[1206] For example, suppose a user enters the following conditions: "Historical setting: Middle Ages" and "Character: Dragon." The user enters these conditions into the device interface and clicks the "Generate" button. The device then sends the entered conditions to the server in JSON format.

[1207] The server analyzes the received JSON data and has the generative AI model generate a new picture book story based on the "Middle Ages" and "dragons." For example, based on the story of "Little Red Riding Hood," a new story set in a medieval world with a dragon as the main character is generated. At the same time, the AI ​​creates new illustrations featuring a medieval castle and a dragon as the main character.

[1208] These generated stories and illustrations are converted into e-book format and sent from the server to the user's device. The user can download the generated e-book and start reading it on their e-reader. For example, they can enjoy an adventure picture book set in the Middle Ages with a dragon as the main character.

[1209] This system allows users to easily create fresh, different picture books each time and enjoy reading them aloud or as a book.

[1210] The processing flow will be explained below.

[1211] Step 1:

[1212] The user accesses the device and opens the interface of the picture book generation site. The user enters the generation conditions (for example, historical setting and characters) into an input form. The conditions entered are "Historical setting: future" and "Characters: robots."

[1213] Step 2:

[1214] The device packages the creation conditions entered by the user in JSON format, including information on the historical background and characters, and sends the packaged JSON data to the server via an API endpoint.

[1215] Step 3:

[1216] The server analyzes the received JSON data. Specifically, it breaks down the data and determines that the time period is "future" and the characters are "robots." Based on this, the server sets the parameters to be passed to the generative AI model.

[1217] Step 4:

[1218] The generative AI model generates a new picture book story based on parameters (time setting: future, characters: robots) passed from the server. For example, based on the public domain "Little Red Riding Hood," it generates a new story in which a robot is the protagonist in a future world.

[1219] Step 5:

[1220] The generative AI model generates illustrations to fit a new story, specifically depicting a "future cityscape" and a "robot protagonist." These illustrations are generated to perfectly match the user-specified criteria.

[1221] Step 6:

[1222] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). This conversion is done according to a template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[1223] Step 7:

[1224] The converted e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[1225] Step 8:

[1226] The device receives the response from the server and displays a download link to the user, who can click on this link to download the e-book file to the device.

[1227] Step 9:

[1228] Users can open the downloaded e-book file in an e-book reader application and start reading. For example, they can enjoy an adventure picture book set in a futuristic world, with a robot as the main character.

[1229] In this way, the system uses generative AI to generate a new picture book based on user input and quickly completes a series of processes to provide it to the user.

[1230] Example 1

[1231] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1232] Previous picture book generation systems lacked the ability to quickly and efficiently generate picture books based on specific user requirements. Furthermore, the process of appropriately combining the generated story and illustrations and converting them into an e-book format required time and effort, making it difficult to immediately meet user needs. Furthermore, they lacked the flexibility to generate new stories based on existing public domain picture book stories in order to provide unique and fresh content.

[1233] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1234] In this invention, the server includes terminal means for a user to input picture book creation conditions, server means for receiving and analyzing the creation conditions sent from the terminal, server means having a generation AI model for creating a picture book story based on the analyzed creation conditions, server means for creating illustrations corresponding to the created picture book story, server means for converting the created picture book story and illustrations into an e-book format, and server means for sending the converted e-book to the user's terminal. This allows a user to instantly create an original picture book based on specific conditions and easily receive it in e-book format.

[1235] The "user" is an entity that uses a terminal means to input the conditions for creating a picture book and receives the created electronic book.

[1236] The "terminal means" refers to a system part including a device and interface for a user to input generation conditions. Specifically, it refers to an electronic device such as a personal computer or smartphone.

[1237] The "server means" is a central control system that receives, analyzes, and processes data sent from the terminals.

[1238] A "generative AI model" is an artificial intelligence algorithm used to generate new picture book stories based on specified generation criteria.

[1239] The "creation conditions" are information input by the user to determine the characteristics of the picture book, and include the historical background and characters.

[1240] "Analysis" is the process by which the server means understands the generation conditions received from the terminal means and converts them into a format that can be used by the generative AI model.

[1241] "Illustrations" are images that add visual elements to the generated picture book story.

[1242] "E-book format" refers to the data format used to convert the generated picture book story and illustrations into a digital format (e.g., EPUB, PDF).

[1243] "Transmission" refers to a data transmission means performed by the server means to provide the generated electronic book to the user's terminal means.

[1244] "Reception" is a process in which the server means acquires the data of the generation conditions sent from the user's terminal means.

[1245] "Conversion" is the process of compiling the generated picture book story and illustrations into an e-book format.

[1246] The present invention is a system for generating picture book stories based on specific conditions, and is composed of the following main components:

[1247] 1. Generation condition input means (terminal)

[1248] The user inputs the conditions for the picture book to be created using a terminal, which is a creation condition input means. This terminal is provided with an interface for the user to input information such as "historical setting" and "characters." For example, the user can input specific conditions such as "historical setting: future" and "characters: robots."

[1249] 2. Conditional reception and analysis method (server)

[1250] The server receives and analyzes the generation conditions sent from the device. These analyzed conditions are prepared as parameters for use by the generative AI model. The server analyzes the generation conditions and formats the data.

[1251] 3. Generative AI model means (server)

[1252] Based on the analyzed conditions, a generative AI model installed on the server generates a new picture book story. For example, based on the conditions "time setting: future" and "characters: robots" entered by the user, it generates a story set in a future world with a robot as the protagonist.

[1253] 4. Illustration generation means (server)

[1254] The server is equipped with a means to create illustrations that correspond to the generated picture book story. The generative AI model generates illustrations that suit the story based on the conditions. For example, it generates specific visual elements such as a "future cityscape" or a "robot protagonist."

[1255] 5. E-book format conversion means (server)

[1256] The server converts the generated picture book story and corresponding illustrations into e-book formats, including EPUB and PDF, and lays them out according to a predefined template.

[1257] 6. Transmission method to user terminal (server)

[1258] The generated e-book file is sent from the server to the user's device, and the user can download and view the e-book by clicking the link.

[1259] Specific examples

[1260] For example, suppose a user inputs the following conditions: "Historical setting: Middle Ages" and "Character: Dragon." After entering these conditions into the device interface, the user clicks the "Generate" button. The device sends the input conditions to the server, which receives and analyzes the data. Based on the analysis results, the generative AI model generates a new picture book story.

[1261] Specifically, a new story set in a medieval world with a dragon as the main character is generated based on the story of Little Red Riding Hood. At the same time, the server generates illustrations of medieval castles and dragons. The generated story and illustrations are converted into e-book format and sent from the server to the user's device.

[1262] Users can download the generated e-book and start reading it on their e-reader, for example, enjoying a medieval picture book adventure with a dragon as the hero.

[1263] Prompt Sentence Examples

[1264] Examples of prompts for generative AI models include:

[1265] "Generate a story set in a futuristic world with a robot protagonist. Include the following details: futuristic cityscape, robot characters, action and adventure."

[1266] This system allows users to easily create fresh, different picture books each time and enjoy reading them aloud or as a book.

[1267] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1268] Step 1:

[1269] The user enters the conditions

[1270] The user inputs the conditions for the picture book to be generated using the device's web interface. The input contents include "historical setting" and "characters." For example, the user enters "future" and "robot" into the input form. The conditions are created in JSON format as input data.

[1271] Specific behavior:

[1272] The user fills in the form with the conditions and clicks the [Generate] button. Once the input is complete, the conditions are compiled in JSON format.

[1273] Input and Output:

[1274] Input: "Historical background" and "Characters" entered by the user

[1275] Output: Input condition data in JSON format

[1276] Step 2:

[1277] The device sends the conditions to the server

[1278] The terminal sends the conditions entered by the user to the server in JSON format. An AJAX request is used, and the data is sent to the server asynchronously.

[1279] Specific behavior:

[1280] The JavaScript code on the device runs, processes the JSON data to be sent, and sends it to the server via an HTTP POST request.

[1281] Input and Output:

[1282] Input: Condition data in JSON format

[1283] Output: HTTP request sent to the server

[1284] Step 3:

[1285] The server receives and analyzes the conditions

[1286] The server receives the JSON data sent from the device and analyzes the conditions. The analysis results are prepared as parameters to be used by the generative AI model.

[1287] Specific behavior:

[1288] The server takes the JSON data from the request body and deserializes it to convert it into structured data.

[1289] Input and Output:

[1290] Input: JSON data received from the terminal

[1291] Output: Parameters for the generative AI model

[1292] Step 4:

[1293] The server generates a picture book story

[1294] The generative AI model installed on the server generates a new picture book story based on the analyzed conditions. To do this, the AI ​​model is given prompts to generate.

[1295] Specific behavior:

[1296] The server passes the prompt to the generative AI model: "Generate a story about a futuristic robot as the protagonist," and the model creates a story based on this instruction.

[1297] Input and Output:

[1298] Input: Prompt (e.g., "Generate a story set in the future with a robot as the protagonist.")

[1299] Output: New picture book story

[1300] Step 5:

[1301] The server generates the illustrations

[1302] The server uses the generative AI model to create illustrations that correspond to the generated picture book story.

[1303] Specific behavior:

[1304] The generative AI model is given the prompt, "Please create an illustration of a futuristic cityscape with a robot protagonist," and the AI ​​generates the illustration.

[1305] Input and Output:

[1306] Input: Prompt (e.g., "Please create an illustration of a futuristic cityscape with a robot protagonist.")

[1307] Output: Generated illustration

[1308] Step 6:

[1309] The server converts it into an e-book format.

[1310] The server combines the generated story and illustrations, converts them into e-book format (EPUB or PDF), and arranges the layout using a template.

[1311] Specific behavior:

[1312] The server integrates the story and illustrations with an e-book tool, sets the layout, and generates an EPUB or PDF file.

[1313] Input and Output:

[1314] Input: Generated picture book story and illustrations

[1315] Output: eBook file in EPUB or PDF format

[1316] Step 7:

[1317] The server sends the e-book to the user's device.

[1318] The server sends the generated e-book file to the user's device, where the user can click a link to download and view the file.

[1319] Specific behavior:

[1320] The server generates a download link for the generated electronic book file and transmits it to the user's terminal.

[1321] Input and Output:

[1322] Input: Generated e-book file

[1323] Output: The download link sent to the user's device.

[1324] (Application example 1)

[1325] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1326] In conventional picture book generation systems, even if users specified multiple conditions at once, the content generated was limited. Furthermore, there was no environment in place for users to easily purchase, download, and immediately view the generated content. Furthermore, the interactive experience within the virtual store was insufficient, preventing an improved user experience. This made it difficult to provide personalized content that met diverse needs.

[1327] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1328] In this invention, the server includes a means for inputting creation conditions, a means having a creation AI model that receives the creation conditions and generates a picture book story based on the creation conditions, and a means for generating illustrations corresponding to the created picture book story. The server also includes a means for converting the created picture book story and illustrations into an e-book format, a means for sending the converted e-book to a user's device, and a means for making the e-book available for purchase and download in a virtual store. This allows users to create customized picture books based on various conditions, and instantly purchase, download, and view them in a virtual store.

[1329] "Generation condition input means" refers to an interface that allows a user to input conditions related to the picture book to be generated (e.g., historical setting, characters, etc.).

[1330] The "condition receiving and analyzing means" is a means for receiving conditions entered by the user, analyzing them, and converting them into a format that can be used by the generative AI model.

[1331] "Generative AI model means" refers to an artificial intelligence model that automatically generates new picture book stories based on the analyzed conditions.

[1332] The "illustration generating means" is a means for automatically generating illustrations according to the generated picture book story.

[1333] The "electronic book format conversion means" is a means for converting the generated picture book story and illustrations into an electronic book format such as EPUB or PDF.

[1334] The "means for transmitting to the user terminal" is a means for transmitting the generated electronic book to the user's terminal.

[1335] "Means for enabling purchase and download within a virtual store" refers to means for enabling users to easily purchase and download the generated e-books within a virtual space.

[1336] The present invention provides a system that generates picture book stories based on specific conditions and allows them to be purchased and downloaded from a virtual store.

[1337] System configuration

[1338] The system consists of the following main components:

[1339] 1. Generation condition input means (user terminal):

[1340] The user inputs the conditions for creating a picture book using an input interface provided on the device. For example, the user may set conditions such as "time setting: future" and "characters: robots."

[1341] 2. Conditional receiving and analysis means (server):

[1342] The conditions entered by the user are sent from the device to the server, which receives them, analyzes them, and converts them into a format that the generative AI model can use, such as JSON.

[1343] 3. Generative AI model means (server):

[1344] The generative AI model installed on the server generates a new picture book story based on the analyzed conditions. A large-scale language model such as GPT-4 is used as the generative AI model.

[1345] 4. Illustration generation means (server):

[1346] The generative AI model generates illustrations based on the generated story. Image generation AI such as DALL-E is used to generate the illustrations.

[1347] 5. E-book format conversion means (server):

[1348] The server converts the generated story and illustrations into e-book formats (EPUB, PDF, etc.) using software such as Calibre.

[1349] 6. Transmission method to user terminal (server):

[1350] The generated e-book file is sent from the server to the user's device, and the user can download the e-book by clicking the link and view it in the virtual store.

[1351] 7. Means for enabling purchases and downloads within the virtual store (user terminals, servers):

[1352] It provides a function that allows users to easily purchase and download generated e-books within the virtual store.

[1353] Specific examples

[1354] For example, a user enters the following conditions: "Historical setting: future" and "Character: robot." The user enters these conditions into the device interface and clicks the "Generate" button. The device then sends the entered conditions to the server in JSON format.

[1355] Prompt Sentence Examples

[1356] "Generate a new picture book story based on the user-entered conditions: 'future' and 'robot'. The original story is 'Little Red Riding Hood.'"

[1357] The server analyzes the received JSON data and has the generative AI model generate a new picture book story based on the concepts of "future" and "robot." At the same time, the AI ​​creates new illustrations featuring a futuristic cityscape and a robot as the main character. These generated stories and illustrations are converted into e-book format and sent from the server to the user's device.

[1358] Users can purchase and download the generated e-books in the virtual store and view them using a smartphone or head-mounted display. This system allows users to easily generate fresh, different picture books each time, and purchase and enjoy them in the virtual store.

[1359] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1360] Program processing flow

[1361] Step 1:

[1362] The user opens a screen on their device where they can enter the conditions for creating a picture book (e.g., historical setting, characters). They enter "Historical setting: future" and "Characters: robots" and click the "Generate" button. The entered conditions are prepared as JSON format data.

[1363] Step 2:

[1364] The device sends input data (in JSON format) to the server. The server analyzes the received data and extracts conditions such as "time setting: future" and "characters: robots." The server generates a prompt based on the analysis results.

[1365] Step 3:

[1366] The server inputs the generated prompt into a generative AI model (such as GPT-4) to generate a new picture book story. For example, the prompt might be, "Generate a new picture book story set in the future, with a robot as the main character. The original story is 'Little Red Riding Hood.'"

[1367] Step 4:

[1368] The generative AI model generates a picture book story based on the prompt sentence and returns it to the server, which receives the story and prepares it for the next step of illustration generation.

[1369] Step 5:

[1370] Based on the generated story, the server sends prompts to an illustration generation AI (such as DALL-E) to generate illustrations. For example, the prompt might be, "Draw a scene of a robot having an adventure with a futuristic cityscape as the background."

[1371] Step 6:

[1372] The illustration generation AI generates illustrations based on the specified prompts and returns them to the server, which then receives the illustrations and integrates them into an e-book format.

[1373] Step 7:

[1374] The server integrates the generated story and illustrations and converts them into an e-book using software such as Calibre. The format can be EPUB or PDF. The generated e-book file is then saved.

[1375] Step 8:

[1376] The server sends the generated e-book file to the user's device, allowing the user to purchase and download it from the virtual store. The user can browse e-books in the virtual store and purchase them using virtual currency or an electronic payment system.

[1377] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1378] The present invention combines a system for generating picture book stories based on generation conditions with an emotion engine that recognizes the user's emotions. This system is composed of the following main components:

[1379] 1. Generation condition input means (terminal):

[1380] The user uses the device to input the conditions for the picture book to be generated. Specifically, the user fills in information such as the historical setting, characters, and the user's emotions in an input form. For example, the user selects "Historical setting: future," "Characters: robots," and the user's emotion is "fun."

[1381] 2. Emotion engine means (terminal):

[1382] The emotion engine installed in the device analyzes the user's facial expressions and voice input to recognize the user's emotions. For example, if the user is smiling, this information is recognized as the emotion of "fun."

[1383] 3. Conditional receiving and analysis means (server):

[1384] The conditions entered by the user and the emotions recognized by the emotion engine are sent from the device to the server, which receives them and parses them in an appropriate format. The results of this analysis are prepared as parameters for use by the generative AI model.

[1385] 4. Generative AI model means (server):

[1386] The generative AI model installed on the server generates new picture book stories based on the analyzed conditions and emotions. For example, it generates a new story based on the public domain "Little Red Riding Hood," which is "fun" and "set in a futuristic world with a robot as the main character."

[1387] 5. Illustration generation means (server):

[1388] The generative AI model generates illustrations to fit the new story. Specifically, it generates bright and cheerful illustrations depicting a "future cityscape" and a "robot protagonist." These illustrations are generated to match the user's emotions.

[1389] 6. E-book format conversion means (server):

[1390] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). This conversion is done according to a template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[1391] 7. Transmission method to user terminal (server):

[1392] The generated e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[1393] Specific examples

[1394] For example, suppose a user inputs the following conditions: "Historical setting: Medieval," "Character: Dragon," and "Emotion: Surprise." The user enters these conditions into the device interface and clicks the "Generate" button. At the same time, the emotion engine recognizes the emotion of "surprise" from the user's facial expression. The device then sends these conditions and emotion information in JSON format to the server.

[1395] The server parses the received JSON data and has the generative AI model generate a new picture book story based on "medieval," "dragon," and "surprise." For example, a new story based on the public domain "Little Red Riding Hood" is generated, in which a dragon goes on a surprising adventure in a medieval world. At the same time, the AI ​​creates new illustrations depicting a medieval castle and a dragon with a surprised expression.

[1396] The generated story and illustrations are converted into an e-book format and sent from the server to the user's device. The user can then download the e-book and begin reading it on their e-reader. For example, they can enjoy a picture book about a dragon's amazing adventures in the Middle Ages.

[1397] This system allows users to easily generate fresh picture books that are different each time according to their emotions, allowing them to enjoy reading aloud or reading. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more personalized experience.

[1398] The processing flow will be explained below.

[1399] Step 1:

[1400] The user accesses the terminal and opens the interface of the picture book generation site. The user enters the generation conditions (e.g., historical setting, characters, emotions) into an input form. The user selects "Historical setting: future," "Characters: robots," and "Emotions: fun" as the conditions.

[1401] Step 2:

[1402] The emotion engine uses the device's camera and microphone to analyze the user's facial expressions and voice to recognize their emotions. For example, if the user is smiling, the emotion engine will recognize that they are "happy."

[1403] Step 3:

[1404] The device packages the generation conditions entered by the user and the emotions recognized by the emotion engine in JSON format, including the historical background, characters, and the user's emotions. The device then sends the packaged JSON data to the server via an API endpoint.

[1405] Step 4:

[1406] The server analyzes the received JSON data. Specifically, it determines that the time period is "future," the characters are "robots," and the emotion is "fun." Based on this, the server sets the parameters to be passed to the generative AI model.

[1407] Step 5:

[1408] The generative AI model generates a new picture book story based on parameters passed from the server (time setting: future, characters: robots, emotions: fun). For example, based on the public domain "Little Red Riding Hood," it generates a new story about "a robot having a fun adventure in a future world."

[1409] Step 6:

[1410] The generative AI model generates illustrations to fit the new story. Specifically, it generates illustrations depicting a "future cityscape" and a "robot protagonist" in a bright and cheerful tone. The illustrations are set to match the user's emotions.

[1411] Step 7:

[1412] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF) based on a specified template, ensuring that the story and illustrations are properly positioned. An e-book generation engine is used.

[1413] Step 8:

[1414] The converted e-book file is stored in the server's storage. The server prepares a response to provide a download link to the user's device. This response includes a download link for the generated e-book.

[1415] Step 9:

[1416] The device receives the response from the server and displays a download link to the user, who can click on this link to download the e-book file to the device.

[1417] Step 10:

[1418] Users can open the downloaded e-book file in an e-book reader application and start reading. For example, they can enjoy a picture book about a robot's fun adventures in a futuristic world.

[1419] In this way, the system uses generative AI to generate a new picture book based on the user's emotions and provides it to the user in a short amount of time, allowing users to easily generate fresh picture books that adapt to their emotions and enjoy reading aloud or reading.

[1420] Example 2

[1421] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1422] Conventional picture book generation systems often provide uniform content and illustrations without considering the user's emotions. This has the problem of resulting in content that is not personalized and unfamiliar to the user. This makes it difficult to stimulate the user's interest and curiosity, especially in picture books for children. Furthermore, the technology for generating content that responds to the user's emotions is immature, and the generated picture books often fail to meet the user's expectations.

[1423] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1424] In this invention, the server includes means for inputting creation conditions, means for recognizing a user's emotions, means having a creation AI model for receiving the creation conditions and creating a picture book story based on the creation conditions, means for creating illustrations according to the created picture book story, means for converting the created picture book story and illustrations into an e-book format, and means for transmitting the converted e-book to the user's terminal, thereby enabling the creation of a personalized picture book according to the user's emotions.

[1425] The "creation conditions" are information input by the user that is necessary for generating a picture book story, and include the historical background, characters, emotions, and the like.

[1426] A "generative AI model" is an artificial intelligence algorithm that generates new picture book stories based on input conditions.

[1427] "Illustration generation means" refers to a technology or device for creating illustrations that correspond to the picture book story generated by the generative AI model.

[1428] "E-book format" means a digital file format (e.g., EPUB or PDF) in which the generated story and illustrations are appropriately arranged and can be distributed as an e-book.

[1429] "Emotion recognition means" refers to a technology or device for analyzing a user's facial expressions and voice and identifying the user's emotions.

[1430] "Public domain picture book stories" refer to picture book stories that are free to use because they are out of copyright or there is no copyright.

[1431] The "means for transmitting to the user terminal" refers to a technique or process for transferring the generated electronic book to the user's terminal.

[1432] "Historical background" refers to the specific historical setting or period in which the picture book story unfolds.

[1433] "Characters" are the main characters that appear in the picture book story.

[1434] "User emotion" refers to the user's psychological state and is identified through emotion recognition means.

[1435] "Personalization" means customizing to the particular needs and preferences of individual users.

[1436] The present invention relates to a system for generating picture book stories based on user input conditions and emotions. This system operates in cooperation with a terminal and a server, and provides personalized picture books to users.

[1437] First, the user uses the device to input the conditions for creating a picture book. The input conditions include the historical setting, characters, and emotions. This information is collected through an input form on the device. For example, conditions such as "Historical setting: Middle Ages," "Character: Dragon," and "Emotion: Surprise" can be input. The user's emotions are recognized by an emotion engine (e.g., OpenCV) installed on the device. Emotion recognition is performed by analyzing emotions from the user's facial expressions and voice input.

[1438] The device sends the user-entered conditions and the recognized emotions in JSON format to the server. The server receives this data and formats it appropriately using an analysis engine. Next, a generative AI model (e.g., GPT-3) installed on the server generates a new picture book story based on the analyzed data. This generative AI model creates new stories based on public domain picture book stories.

[1439] The server uses an illustration generator (e.g., DALL-E) to generate appropriate illustrations based on the generated story. For example, illustrations depicting a "medieval castle" and a "dragon with a surprised expression" are generated. The generated story and illustrations are then converted into an e-book format (e.g., EPUB or PDF). For this purpose, an e-book generation engine (e.g., Calibre) is used.

[1440] Finally, the generated e-book is stored in the server's storage, and a download link is provided to the user's device, allowing the user to obtain the generated e-book using the download link and view it on an e-book reader.

[1441] As a concrete example, consider the case where a picture book story and illustrations are generated in response to the following prompt:

[1442] Historical setting: Middle Ages

[1443] Characters: Dragon

[1444] Emotion: Surprise

[1445] Generate a new picture book story. This story revolves around a dragon, a startling character set in a medieval setting.

[1446] This system allows users to easily generate fresh picture books that are different each time based on their emotions and preferences, allowing them to enjoy reading aloud or reading. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more personalized experience.

[1447] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1448] Step 1:

[1449] (Condition input)

[1450] The user inputs the conditions for creating a picture book using a terminal. These conditions include the historical background, characters, and emotions. Input is done through the terminal interface.

[1451] Input: User generation conditions

[1452] Output: Data on the generation conditions (e.g., "Historical setting: Middle Ages," "Character: Dragon," "Emotion: Surprise")

[1453] Specific operation: The user opens a browser on their device and accesses the form for the picture book generation application. They enter the "historical background," "characters," and "emotions," and click the "Generate" button.

[1454] Step 2:

[1455] (emotion recognition)

[1456] The emotion engine installed in the device analyzes the user's facial expressions and voice input to recognize the user's emotions. The emotion recognition engine uses a face detection algorithm (e.g., OpenCV) or a voice recognition algorithm.

[1457] Input: User's facial expression data or voice data

[1458] Output: Parsed emotion data

[1459] Specific operation: The user turns on the camera, the device captures and analyzes the user's facial expressions, and the emotion engine automatically identifies the emotion "surprise" from the user's facial expressions.

[1460] Step 3:

[1461] (Sending conditions and emotions)

[1462] The device sends the conditions entered by the user and the emotional information recognized by the emotion engine to the server, where the data is packaged in JSON format.

[1463] Input: Data on generation conditions and emotion data

[1464] Output: JSON data sent to the server

[1465] Specific operation: The device converts the user's input data and emotion data into JSON format and sends a POST request to the server. For example, it sends the JSON data {"Historical setting": "Medieval", "Character": "Dragon", "Emotion": "Surprised"}.

[1466] Step 4:

[1467] (receive and analyze)

[1468] The server receives and analyzes the data sent from the device. The data analysis engine then formats the data into an appropriate format so that it can be used by the generative AI model.

[1469] Input: JSON format generation conditions and emotion data

[1470] Output: Analyzed data to feed into a generative AI model

[1471] Specific operation: The server parses the received JSON data and extracts "Historical setting: Middle Ages," "Character: Dragon," and "Emotion: Surprise" as individual variables.

[1472] Step 5:

[1473] (Story generation)

[1474] A generative AI model installed on the server generates a new picture book story based on the analyzed conditions and emotions. The generative AI model typically uses an advanced natural language generation model such as GPT-3.

[1475] Input: Analyzed generation conditions and emotion data

[1476] Output: Text data of the generated picture book story

[1477] How it works: The generative AI model generates text for a new picture book story based on the inputs "medieval," "dragon," and "surprise."

[1478] Step 6:

[1479] (Illustration generation)

[1480] The server generates appropriate illustrations according to the generated picture book story using an illustration generation means (e.g., DALL-E).

[1481] Input: Generated picture book story

[1482] Output: Generated illustration

[1483] What it does: The image generation engine generates illustrations of a "medieval castle" and a "dragon with a surprised expression."

[1484] Step 7:

[1485] (Conversion to e-book format)

[1486] The server converts the generated story and illustrations into an e-book format (e.g., EPUB or PDF). For this purpose, an e-book generation engine (e.g., Calibre) is used.

[1487] Input: Generated story and illustrations

[1488] Output: eBook file (EPUB or PDF)

[1489] Specific operation: The server lays out the story and illustrations in the appropriate format and generates an e-book file.

[1490] Step 8:

[1491] (Generate and send download links)

[1492] The generated e-book is stored in the server's storage and a download link is provided to the user's device.

[1493] Input: e-book file

[1494] Output: A download link sent to the user's device

[1495] Specific operation: The server sends a response to the user's device containing a download link for the generated e-book. The user uses this link to download the e-book.

[1496] (Application example 2)

[1497] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1498] Conventional picture book generation systems generate stories only under certain conditions based on user input, and are unable to reflect individual users' emotions or real-time states. Furthermore, because the generated stories are fixed, they lack novelty for users and are difficult to provide a personalized reading experience. This poses a challenge: they are unable to meet the diverse needs of users and provide a truly immersive reading experience.

[1499] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1500] In this invention, the server includes means for inputting generation conditions, means for receiving the generation conditions and having a generation AI model for generating a picture book story based on the generation conditions, means for generating illustrations according to the generated picture book story, means for converting the generated picture book story and illustrations into an e-book format, means for transmitting the converted e-book to a user's terminal, means for analyzing the user's emotions, and means for adapting the generated story and illustrations based on the emotions, thereby enabling the generation of personalized picture book stories and illustrations based on the user's input conditions and the results of real-time emotion analysis.

[1501] "Means for inputting creation conditions" refers to a device or interface that allows a user to input conditions for the picture book to be created.

[1502] "Means having a generative AI model that receives generation conditions and generates a picture book story based on them" refers to a device or system that receives conditions entered by a user and has a generative AI model that creates a picture book story based on those conditions.

[1503] The term "means for generating illustrations according to the generated picture book story" refers to a device or system for creating illustrations suitable for the generated picture book story.

[1504] "Means for converting the generated picture book story and illustrations into an e-book format" refers to a device or system that converts the generated picture book story and illustrations into an e-book format.

[1505] The "means for transmitting the converted electronic book to the user's terminal" refers to a device or system for delivering the converted electronic book to the user's terminal.

[1506] The "means for analyzing the user's emotions" refers to a device or system used to analyze the user's emotions.

[1507] "Means for adapting generated story and illustrations based on emotions" refers to a device or system that adjusts picture book stories and illustrations based on analyzed emotional information.

[1508] System Program

[1509] This invention provides a system for generating personalized picture book stories and illustrations by combining user-entered generation conditions with real-time analyzed emotional data. The program processing of this system is explained below.

[1510] Program processing explanation

[1511] 1. Generation condition input method

[1512] The user uses a smartphone to input the conditions for creating a picture book. Specifically, information such as the historical setting and characters is sent through an input form. The input conditions are text data such as "Historical setting: future" and "Characters: robots."

[1513] 2. User sentiment analysis method

[1514] The smartphone's camera and microphone are used to analyze the user's emotions. The emotion engine analyzes the user's facial expressions and voice in real time to obtain emotional data. This emotional data is expressed as emotion labels such as "fun" or "surprise." Emotion analysis is performed using emotion recognition software that runs on the smartphone.

[1515] 3. Conditional Receiving and Analysis Methods

[1516] The generation conditions and emotion data sent from the smartphone device are sent to a server. The server receives the data in a standard data format such as JSON and analyzes it. The analysis results are used as parameters to input into the generative AI model.

[1517] 4. Generative AI Model Means

[1518] A generative AI model installed on the server generates a new picture book story based on the received generation conditions and emotional data. The generative AI model uses natural language processing technology and generative models. For example, it could generate a "fun adventure story with a robot as the main character in a futuristic world."

[1519] 5. Illustration Generation Method

[1520] The server-side generation engine also creates illustrations that fit the story and the user's emotions. For example, illustrations of a "future cityscape" and a "fun-looking robot" are generated.

[1521] 6. E-book format conversion methods

[1522] The generated story and illustrations are converted into an e-book format (e.g., EPUB or PDF). The e-book generation engine performs this conversion and arranges the story and illustrations in an appropriate layout.

[1523] 7. Means of transmission to user terminal

[1524] The final e-book is stored in the server's storage, and the server then provides a download link to the user's smartphone device, allowing the user to obtain the e-book via this download link.

[1525] Examples of concrete examples and prompts

[1526] For example, if a user inputs "Historical setting: future" and "Character: robot" into a smartphone app and the emotion engine recognizes this as "fun," the following prompt sentence can be input into the generative AI model to generate a picture book story.

[1527] Prompt Sentence Examples

[1528] Time period: Future, Characters: Robots, Emotions: Fun

[1529] Generate a story.

[1530] Based on this prompt, the generative AI model generates a fun adventure story about a robot in a future world, along with illustrations to accompany the story. Finally, the generated content is converted into an e-book and provided to the user's smartphone as a download link.

[1531] The above process realizes a system that allows users to enjoy personalized picture book stories based on their individual emotions and input conditions.

[1532] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1533] Step 1:

[1534] Users use their smartphone to input the conditions for creating a picture book (e.g., historical setting, characters). Specifically, they submit information such as "historical setting: future" and "characters: robots" via the app's input form.

[1535] Input: User-entered generation conditions (historical setting, characters)

[1536] Output: Data including generation conditions (e.g., "Time background: future", "Character: robot")

[1537] Step 2:

[1538] Using the smartphone's camera and microphone, the system analyzes the user's facial expressions and voice in real time to obtain emotional data. The emotion engine analyzes the user's facial expressions and voice tone and outputs emotional labels such as "fun" or "surprise."

[1539] Input: User's facial expression data, voice data

[1540] Output: Emotion label (e.g. "fun")

[1541] Step 3:

[1542] The smartphone device sends the generation conditions and emotion data acquired in steps 1 and 2 to the server in JSON format. The server receives and analyzes this JSON data.

[1543] Input: Generation condition data, emotion data (JSON format)

[1544] Output: Analyzed generation conditions and emotion data

[1545] Step 4:

[1546] The server inputs prompt text into the generative AI model based on the analyzed generation conditions and emotion data, and generates a new picture book story. The generative AI model uses natural language processing technology to generate a story that matches the input conditions. For example, it generates a story based on the prompt text "Historical setting: future, Characters: robots, Emotion: fun."

[1547] Input: Analyzed generation conditions, emotion data, and prompt (e.g., "Time setting: future, character: robot, emotion: fun")

[1548] Output: Generated picture book story

[1549] Step 5:

[1550] The server generates illustrations that fit the generated picture book story. The illustration generation engine generates illustrations, such as a "future cityscape" and a "robot protagonist," based on the story content and emotion data.

[1551] Input: Generated picture book story, emotion data

[1552] Output: Illustration data

[1553] Step 6:

[1554] The server converts the generated picture book story and illustration data into an e-book format, and the e-book generation engine appropriately lays out the story and illustrations in a format such as EPUB or PDF.

[1555] Input: Generated picture book story and illustration data

[1556] Output: eBook file (e.g. EPUB, PDF)

[1557] Step 7:

[1558] The server provides a download link to send the converted e-book to the user's smartphone, and the user clicks the provided link to download the e-book and view it on the smartphone's e-reader.

[1559] Input: Converted eBook file

[1560] Output: Download link (user-accessible URL)

[1561] Through these steps, users can obtain personalized picture book stories and illustrations based on their individual emotions and input conditions, allowing them to enjoy reading.

[1562] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1563] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1564] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1565] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1566] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1567] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1568] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1569] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1570] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1571] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1572] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1573] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1574] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1575] 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.

[1576] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1577] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1578] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1579] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1580] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1581] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1582] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1583] The following is further disclosed regarding the above embodiment.

[1584] (Claim 1)

[1585] means for inputting generation conditions;

[1586] a means for receiving the generation conditions and having a generation AI model for generating a picture book story based thereon;

[1587] a means for generating illustrations according to the generated picture book story;

[1588] a means for converting the generated picture book story and illustrations into an e-book format;

[1589] means for transmitting the converted e-book to a user's terminal;

[1590] A system including:

[1591] (Claim 2)

[1592] 2. The system according to claim 1, wherein the generation conditions include a historical background and characters.

[1593] (Claim 3)

[1594] 2. The system of claim 1, wherein the generative AI model generates new picture book stories based on public domain picture book stories.

[1595] "Example 1"

[1596] (Claim 1)

[1597] a terminal means for a user to input picture book creation conditions;

[1598] a server means for receiving and analyzing the generation conditions transmitted from the terminal;

[1599] A server means having a generation AI model that generates a picture book story based on the analyzed generation conditions;

[1600] a server means for generating illustrations corresponding to the generated picture book story;

[1601] a server means for converting the generated picture book story and illustrations into an e-book format;

[1602] a server means for transmitting the converted electronic book to a user's terminal;

[1603] A system including:

[1604] (Claim 2)

[1605] 2. The system according to claim 1, wherein the generation conditions include a historical background and characters.

[1606] (Claim 3)

[1607] The system of claim 1, wherein the generative AI model generates new picture book stories based on original publicly available picture book stories.

[1608] "Application Example 1"

[1609] (Claim 1)

[1610] means for inputting generation conditions;

[1611] a means for receiving the generation conditions and having a generation AI model for generating a picture book story based thereon;

[1612] a means for generating illustrations according to the generated picture book story;

[1613] a means for converting the generated picture book story and illustrations into an e-book format;

[1614] means for transmitting the converted e-book to a user's terminal;

[1615] A means to enable purchase and download within the virtual store;

[1616] A system including:

[1617] (Claim 2)

[1618] 2. The system according to claim 1, wherein the generation conditions include a historical background and characters.

[1619] (Claim 3)

[1620] 2. The system of claim 1, wherein the generative AI model generates new picture book stories based on public domain picture book stories.

[1621] "Example 2: Combining Emotion Engines"

[1622] (Claim 1)

[1623] means for inputting generation conditions;

[1624] a means for receiving the generation conditions and having a generation AI model for generating a picture book story based thereon;

[1625] a means for generating illustrations according to the generated picture book story;

[1626] a means for converting the generated picture book story and illustrations into an e-book format;

[1627] means for transmitting the converted e-book to a user's terminal;

[1628] A system including a means for recognizing a user's emotions, which generates a picture book story based on the user's emotions and generates illustrations that match the user's emotions.

[1629] (Claim 2)

[1630] 2. The system according to claim 1, wherein the generation conditions include a historical background and characters.

[1631] (Claim 3)

[1632] The system of claim 1, wherein the generative AI model generates new picture book stories based on picture book stories in the public domain.

[1633] "Application example 2 when combining emotion engines"

[1634] New invention claims

[1635] (Claim 1)

[1636] means for inputting generation conditions;

[1637] a means for receiving the generation conditions and having a generation AI model for generating a picture book story based thereon;

[1638] a means for generating illustrations according to the generated picture book story;

[1639] a means for converting the generated picture book story and illustrations into an e-book format;

[1640] means for transmitting the converted e-book to a user's terminal;

[1641] means for analyzing a user's emotions;

[1642] means for adapting the story and illustrations generated based on said emotions;

[1643] A system including:

[1644] (Claim 2)

[1645] 10. The system of claim 1, wherein the generated e-book is downloadable to a smartphone device.

[1646] (Claim 3)

[1647] 2. The system of claim 1, wherein the generative AI model generates new picture book stories based on public domain picture book stories and uses prompts based on the user's emotions. [Explanation of symbols]

[1648] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for inputting generation conditions; a means for receiving the generation conditions and having a generation AI model for generating a picture book story based thereon; a means for generating illustrations according to the generated picture book story; a means for converting the generated picture book story and illustrations into an e-book format; means for transmitting the converted e-book to a user's terminal; A system including:

2. 2. The system according to claim 1, wherein the generation conditions include a historical background and characters.

3. 10. The system of claim 1, wherein the generative AI model generates new picture book stories based on public domain picture book stories.

Images