system

Abstract

Provide a system. A generating means for automatically generating a manga based on prompt information specified by a user; A publishing means for publishing the generated manga; A revenue calculation means for calculating revenue based on the number of views and purchases of the published manga; a revenue distribution method for distributing revenue to rights holders and derivative creators; a permission setting means for accepting a permission setting for a derivative work; A system including:

Description

[Technical Field]

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

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

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

[0004] Currently, manga production and derivative works require a significant amount of time and specialized skills, making them a high hurdle for many people. There is also the risk that the resulting work may be treated as a copyright infringement, which discourages creative activity. Furthermore, even when derivative works are permitted, there is often no mechanism for revenue sharing, resulting in little benefit for both the original rights holder and the derivative creator. By resolving these issues, there is a need to revitalize the manga industry and promote technological innovation. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems with a system that includes a generation unit that automatically generates manga based on prompt information specified by the user, a publishing unit that publishes the generated manga, a revenue calculation unit that calculates revenue based on the number of views and purchases of the published manga, a revenue distribution unit that distributes revenue to rights holders and derivative creators, and a permission setting unit that accepts permission settings for derivative works. This system allows users to easily generate and publish manga and provides a mechanism for appropriately distributing revenue even for derivative works. This will create an environment where creators and casual users can focus on their creative activities, revitalizing the manga industry as a whole.

[0006] The "generation means" is an element that has the function of automatically generating a manga based on prompt information provided by the user.

[0007] The "publication means" is an element that has the function of publishing the manga generated by the generation means on an internet platform or the like.

[0008] The "revenue calculation means" is an element that has the function of calculating revenue based on performance data such as the number of views and purchases of the manga published by the publishing means.

[0009] The "revenue distribution means" is an element that has the function of appropriately distributing the revenue calculated by the revenue calculation means to the rights holder and the derivative creator.

[0010] The "permission setting means" is an element that has the function of setting whether or not a user is permitted to create derivative works of his or her own work.

[0011] "User" refers to an individual or organization that uses this system to create, publish, and set permissions for derivative works of manga.

[0012] "Prompt information" is information such as genre, theme, and characters that the user inputs to generate a manga. [Brief explanation of the drawings]

[0013] [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

[0014] 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.

[0015] First, the terms used in the following description will be explained.

[0016] 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).

[0017] 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.

[0018] 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.

[0019] 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.

[0020] 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."

[0021] [First embodiment]

[0022] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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."

[0034] As an embodiment of the present invention, we provide a system in which a user inputs prompt information, publishes the generated manga, and distributes profits to copyright holders and derivative creators. The specific processing flow is described in detail below.

[0035] Permission settings for derivative works

[0036] The user sets the permission for derivative works for the work

[0037] Users access their own work management page from their device and set whether or not derivative works are permitted. When the user sends this setting from their device to the server, the server records this setting information in a database.

[0038] Manga Generation

[0039] The user enters the prompt information

[0040] The user accesses an interface to input the genre, theme, and characters of the manga, and inputs the necessary information, which then sends prompt information from the user's terminal to the server.

[0041] Automatic manga generation using generative AI

[0042] The server analyzes the received prompt information and calls the generation AI module. This AI automatically generates the frame layout, illustrations, and dialogue based on the input information. The generated results are temporarily stored by the server and sent to the user's device.

[0043] Publishing the generated manga

[0044] Publishing the generated manga

[0045] If the user checks the generated manga and selects to make it public, the server publishes the manga on a platform on the Internet, allowing other users to view the manga.

[0046] Revenue collection and distribution

[0047] Calculating revenue

[0048] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue based on this data. Revenue calculations are performed at regular intervals.

[0049] Revenue sharing

[0050] When a derivative work is created, revenue is distributed based on the pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and the derivative work, and reflects it in each of their accounts.

[0051] Specific Examples

[0052] Example of permission settings for derivative works

[0053] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[0054] Manga generation example

[0055] User B enters "fantasy," "friendship," and "dragon" as prompts and sends them to the server. The generation AI automatically generates a manga based on this and sends it to User B's device.

[0056] Revenue calculation and distribution example

[0057] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[0058] In this way, by combining various means with various functions, manga production, publication, and revenue sharing can be smoothly carried out. This invention promotes technological innovation in the manga industry and provides an environment in which creators can engage in creative activities more freely.

[0059] The processing flow will be explained below.

[0060] Permission settings for derivative works

[0061] Step 1: User accesses the work management page

[0062] Users log in to their account from their device and access the work management page.

[0063] Step 2: User selects derivative work permission settings

[0064] Users can find the derivative work permission option on the detailed settings screen for each work and set it to "Allow" or "Not Allowed."

[0065] Step 3: The device sends the configuration data to the server

[0066] After the setting contents are determined, the user clicks the save button, and the terminal transmits this setting data to the server.

[0067] Step 4: The server records the configuration information in a database

[0068] The server analyzes the received configuration information and updates the database entry for the corresponding work.

[0069] Manga Generation

[0070] Step 1: User enters prompt information

[0071] The user accesses the interface for creating manga on the terminal and inputs prompt information such as genre, theme, and characters.

[0072] Step 2: The device sends the prompt information to the server

[0073] Once all the prompt information has been entered, the terminal sends it to the server.

[0074] Step 3: The server calls the generated AI

[0075] The server analyzes the received prompt information, calls the generation AI module, and starts the manga generation process.

[0076] Step 4: AI automatically generates manga

[0077] The generation AI automatically generates panel layouts, drawings, and dialogue based on the input prompt information.

[0078] Step 5: The server temporarily saves the generated manga and sends it to the user.

[0079] The server temporarily stores the generated manga data and sends it to the user's terminal.

[0080] Publishing the generated manga

[0081] Step 1: User chooses to publish

[0082] After checking the manga, the user can choose whether to make it public or not. If they choose to make it public, they click the corresponding button.

[0083] Step 2: The device sends a publishing request to the server

[0084] When the publish button is clicked, a publish request is sent from the terminal to the server.

[0085] Step 3: The server publishes the manga on the platform

[0086] After receiving the publication request, the server uploads the generated manga to a publishing platform on the Internet, where it can be viewed by other users.

[0087] Revenue collection and distribution

[0088] Step 1: The server records the number of views and purchases

[0089] The server periodically records various performance data (e.g., number of views, number of purchases) of the published manga.

[0090] Step 2: Server calculates revenue

[0091] Based on the recorded data, the server calculates the revenue for each manga.

[0092] Step 3: Check your derivative work revenue share

[0093] In the case of derivative works, the server checks the revenue share percentage based on the permission settings recorded in the database.

[0094] Step 4: Server shares revenue

[0095] The server distributes the revenue to the original rights holder and secondary creators and reflects it in each user's account.

[0096] Step 5: The server reports the revenue information

[0097] The server notifies each user that the revenue has been distributed, either through the terminal interface or by e-mail.

[0098] The above is the specific processing flow of the program.

[0099] Example 1

[0100] 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."

[0101] Conventional manga creation platforms lack efficient methods for users to easily automate the creation of manga through prompt information or publish it online. There are also challenges in calculating revenue for the manga and distributing it fairly to copyright holders and derivative creators. This makes it difficult for creators to freely pursue their creative activities and earn revenue.

[0102] 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.

[0103] In this invention, the server includes a generation means for automatically generating manga based on prompt information specified by the user, a publishing means for publishing the generated manga, a revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, a revenue distribution means for distributing revenue to rights holders and derivative creators, and a permission setting means for the user to set permissions for derivative works for a work. This allows users to easily generate and publish manga and enables revenue to be distributed fairly.

[0104] "User" refers to a general user who uses the system to create, configure, and publish manga.

[0105] "Prompt information" is data entered by the user that includes information about the genre, theme, and characters of the manga.

[0106] "Generation means" refers to algorithms or technologies for automatically generating manga based on prompt information.

[0107] "Publication means" is a function that allows other users to view the created manga on an internet platform.

[0108] The "revenue calculation method" is a function that calculates revenue based on performance data such as the number of views and purchases of published manga.

[0109] "Revenue distribution means" is a function that distributes calculated revenue to rights holders and derivative creators.

[0110] The "permission setting means" is an interface that allows the user to set whether or not derivative works are permitted, and a function that records that information on the server.

[0111] "Derivative creation" is the act of creating a new work based on an existing manga, and requires permission from the original rights holder.

[0112] "Rights holder" refers to the original author of the manga or the person or organization that holds the copyright.

[0113] A "derivative creator" is a creator who creates new manga based on an existing work with the permission of the original rights holder.

[0114] A "server" is a computer system that processes information received from users and performs functions such as generation, publication, revenue calculation and distribution.

[0115] A "database" is a system that allows the server to store data such as user settings information and generated manga.

[0116] An "interface" is a screen or operating means that allows a user to input prompt information and set permissions for derivative works.

[0117] As an embodiment of this invention, we provide a system in which a user inputs prompt information, a generative AI model is used to automatically generate a manga, the manga is published, and profits are distributed to rights holders and derivative creators. The specific process flow and the necessary hardware and software are described in detail below.

[0118] Permission settings for derivative works

[0119] Users access their own work management page on a device connected to the Internet. For example, they log in to a dedicated management page using a web browser. There, users can set whether or not derivative works are permitted. When the user sends this setting information from their device, it is received by the server and recorded in the database. A specific setting example is checking "Allow derivative works" on the management page for a work called "Hero's Adventure." The server used can be Apache (registered trademark), and the database server can be MySQL (registered trademark).

[0120] Manga Generation

[0121] The user inputs prompt information for the manga through the terminal interface. This interface allows the user to input the genre, theme, and characters of the manga. For example, prompt information such as "fantasy," "friendship," and "dragon" can be input. When the user completes the input and clicks the send button, the prompt information is sent from the terminal to the server.

[0122] The server receives and analyzes this prompt information. After analysis, it calls a generation AI module (e.g., OpenAI's GPT-4 (registered trademark)) to automatically generate the manga panels, illustrations, and dialogue based on the input information. The generated manga is temporarily stored on the server, and the generation results are then sent from the server to the user's device.

[0123] Examples of prompts include:

[0124] "The manga genre is fantasy, the theme is friendship, and the characters are dragons."

[0125] Publishing the generated manga

[0126] The user checks the generated manga and selects "Publish" on the interface. When the user selects "Publish," the server uploads the generated manga to a platform on the Internet, allowing other users to view the manga.

[0127] Revenue collection and distribution

[0128] Performance data such as the number of views and purchases for published manga is recorded by the server. Revenue is automatically calculated on the server based on this data. Revenue calculations are performed periodically, and after calculation, the server distributes the revenue to the rights holder and derivative creators. Distribution is based on pre-set derivative creation permission information.

[0129] A specific example of operation is when User C creates a derivative work based on User A's "Hero's Adventure" and the work becomes popular. In this case, the server records revenue information and distributes the revenue to User A (original rights holder) and User C (derivative creator).

[0130] As described above, this system allows users to efficiently generate and publish manga and appropriately distribute revenue. Smooth operation is achieved by properly coordinating the web server, database server, and generation AI module.

[0131] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0132] Step 1:

[0133] Users access their own work management page on a device connected to the Internet. Here, they set their permission settings for derivative works. Specifically, they log in to the management page using a web browser and check the box that says "Allow derivative works." This operation inputs permission settings from the user to the device, which receives the information and sends it to the server. The server records this setting information in a database and reflects the settings specified by the user.

[0134] Step 2:

[0135] The user inputs prompt information through the terminal interface. In this interface, the user inputs the genre, theme, and characters of the manga. Specifically, the user enters prompt information such as "fantasy," "friendship," and "dragon" into the input fields. The user's input (prompt information) is transmitted to the terminal and then sent from the terminal to the server. The server receives this prompt information.

[0136] Step 3:

[0137] The server analyzes the received prompt information. Specifically, it processes the data to pass the prompt information to the generation AI module. It then calls the generation AI module (e.g., OpenAI's GPT-4) and automatically generates a manga based on the prompt information. The generation AI module generates the panel layout, illustrations, and dialogue. The generated manga data is temporarily stored on the server. The server then sends the generation results to the user's device.

[0138] Step 4:

[0139] The user can view the manga they have created through their device. When the user selects "Publish," the device sends the instruction to the server. The server receives the instruction and uploads the manga to an internet platform, allowing other users to view it.

[0140] Step 5:

[0141] The server records performance data such as the number of views and purchases of the published manga. User activity data (number of views, number of purchases) is sent to the server, which automatically calculates revenue based on this data. Revenue calculations are performed at regular intervals, and the results are passed to the revenue distribution means.

[0142] Step 6:

[0143] As a revenue distribution method, the server distributes revenue to the rights holder and derivative creator. The derivative creation permission information is used during distribution. The final revenue amount is calculated and reflected in each account. Specifically, the revenue is distributed and reflected in the accounts of User A (original rights holder) and User C (derivative creator).

[0144] (Application example 1)

[0145] 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."

[0146] Conventional manga production systems require users to manually create panels, draw illustrations, and write dialogue, requiring a great deal of time and effort. This makes it difficult for creators to freely engage in creative activities, and there is a problem with incomplete revenue sharing between rights holders and derivative creators, especially in the case of derivative works. Furthermore, there are significant shortcomings in systems that allow users to easily create and monetize manga using devices such as smartphones.

[0147] 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.

[0148] In this invention, the server includes: a generating means for automatically generating a manga based on prompt information specified by a user; a publishing means for publishing the generated manga; a revenue calculating means for calculating revenue based on the number of views and purchases of the published manga; a revenue distribution means for distributing revenue to rights holders and derivative creators; a permission setting means for accepting permission settings for derivative works; and a means that operates on a terminal including a smartphone and includes a user interface for checking and publishing the generated manga. This allows users to easily input prompt information using a smartphone and generate and publish high-quality manga in a short amount of time, while ensuring transparency in revenue distribution and providing an environment in which creators can engage in creative activities more freely and efficiently.

[0149] "Prompt information" is information about the genre, theme, and characters that the user specifies for manga generation.

[0150] The "generation means" is a means for automatically generating a manga based on prompt information specified by the user.

[0151] "Means of publication" refers to the means by which the created manga is made public on an internet platform or the like.

[0152] The "revenue calculation means" is a means for calculating revenue based on performance data such as the number of views and purchases of the published manga.

[0153] "Revenue distribution means" refers to a means for distributing calculated revenue to rights holders and derivative creators.

[0154] The "permission setting means" is a means by which a user can set whether or not derivative works of his / her own work are permitted.

[0155] A "smartphone" is a type of mobile information terminal that combines computer functions with a mobile phone.

[0156] A "terminal" is a device that allows a user to access the system through an interface, and includes smartphones, personal computers, etc.

[0157] The "user interface" is an interface that allows a user to check and publish the created manga, and operates on a terminal.

[0158] "Fan-made works" are the act of creating new works based on existing manga works.

[0159] This invention is a system in which a user inputs prompt information from a device such as a smartphone, and based on this, a generative AI model automatically generates and publishes a manga. Furthermore, revenue is calculated based on the number of views and purchases of the generated manga, and the revenue is distributed to rights holders and derivative creators. Specific embodiments are described in detail below.

[0160] Permission settings for derivative works

[0161] The server accepts users' settings for allowing derivative works of their own works. Users access the work management page from their devices and select whether or not to allow derivative works. This setting information is sent from the user's device to the server, and the server records this information in a database.

[0162] Manga Generation

[0163] The user uses a dedicated interface to input prompt information about the genre, theme, and characters of the manga. For example, prompt information may include "genre: fantasy," "theme: friendship," and "characters: dragons." This information is sent from the user's terminal to the server.

[0164] The server analyzes the received prompt information and automatically generates the manga using a generative AI model. This generation process uses Python, a database (e.g., SQLite, PostgreSQL), and a generative AI model (e.g., OpenAI GPT). The generative AI model automatically generates panel layouts, illustrations, and dialogue based on the input prompt information. The generated manga is temporarily stored on the server and sent to the user's device.

[0165] Publishing the generated manga

[0166] The user can check the generated manga and choose whether to publish it. When the user presses the publish button, the server publishes the manga on an internet platform, making it available for other users to view.

[0167] Revenue collection and distribution

[0168] The server records performance data such as the number of views and purchases of the published manga and calculates revenue. Revenue calculations are performed at regular intervals and are calculated using a Python program. For example, if a created manga is viewed 1,000 times, revenue will be calculated as 5,000 yen. Revenue distribution is based on the set derivative work permission information and is reflected in the accounts of both the rights holder and the derivative creator.

[0169] Specific examples

[0170] User A sets permission for derivative works on the management page for a work called "Hero's Adventure," and this information is sent to the server and recorded in the database. Next, User B enters prompt information such as "fantasy," "friendship," and "dragon," and sends it to the server. The generative AI model automatically generates a manga based on this information and sends it to User B's device. User B checks the generated manga and presses the publish button to publish it on an online platform. After a certain period of time, the generated manga is viewed 1,000 times, and 5,000 yen is calculated as revenue. This revenue is distributed to User A (the original rights holder) and User C (the derivative creator) based on the derivative work permission information.

[0171] As described above, the present invention provides a method for easily generating, publishing, and sharing profits from manga using a smartphone or server.

[0172] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0173] Step 1:

[0174] The user accesses the system's work management page using a terminal and sets the permission settings for derivative works. The user opens the work management page and selects whether or not to allow derivative works. This sends the permission setting information from the user's terminal to the server. When this setting information reaches the server, the server records this information in a database.

[0175] Input: Permission information for derivative works set by the user on the device

[0176] Output: Permissions saved in the database

[0177] Step 2:

[0178] The user accesses the manga generation interface from a terminal and inputs prompt information. The user inputs information about the manga genre, theme, and characters. For example, the user might provide information such as "genre: fantasy," "theme: friendship," and "characters: dragons."

[0179] Input: Prompt information entered by the user at the terminal

[0180] Output: Prompt information sent to the server

[0181] Step 3:

[0182] The server analyzes the received prompt information and calls a generative AI model to automatically generate the manga. The generative AI model generates panel layouts, drawings, and dialogue based on the prompt information. This generation process uses a Python program and a generative AI model (e.g., OpenAI GPT).

[0183] Input: Prompt information sent to the server

[0184] Output: Manga data generated by the generative AI model

[0185] Step 4:

[0186] The server temporarily stores the generated manga data and sends it to the user's device, where the user can check the generated manga and decide whether to make it public.

[0187] Input: Manga data generated by a generative AI model

[0188] Output: Manga data sent to the user's device

[0189] Step 5:

[0190] When a user presses the publish button, the server publishes the manga on an internet platform, where it can be viewed by other users.

[0191] Input: Manga data selected for publication on the user's device

[0192] Output: Manga published on the Internet

[0193] Step 6:

[0194] The server records performance data such as the number of views and purchases of the published manga. The server periodically calculates revenue based on this data. A Python program is used to calculate revenue; for example, if a manga is viewed 1,000 times, 5,000 yen is calculated as revenue.

[0195] Input: Data on the number of views and purchases of published manga

[0196] Output: Calculated revenue data

[0197] Step 7:

[0198] The server distributes revenue to the rights holder and derivative creators using the revenue distribution method. The revenue distribution is based on the pre-set derivative creation permission information. The calculated revenue is reflected in the accounts of the rights holder and derivative creators.

[0199] Input: Calculated revenue data and derivative work permission information

[0200] Output: Revenue reflected in the rights holder's and derivative creator's accounts

[0201] The above are the specific processing steps when a user uses the manga generation system.

[0202] 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.

[0203] As an embodiment of the present invention, we provide a manga creation, publishing, and revenue sharing system that combines an emotion engine that recognizes user emotions. The specific processing flow is described in detail below.

[0204] Permission settings for derivative works

[0205] The user sets the permission for derivative works for the work

[0206] Users access their own work management page from their device and set whether or not derivative works are permitted. When the user sends this setting from their device to the server, the server records this setting information in a database.

[0207] Manga Generation

[0208] The user enters the prompt information

[0209] The user accesses the interface for creating manga on their device and inputs prompt information such as genre, theme, characters, etc. At this point, the emotion engine starts working and analyzes the user's emotional state.

[0210] Automatic manga generation using generative AI

[0211] The server analyzes the received prompt information and calls the generation AI module based on the emotional data provided by the emotion engine. The generation AI automatically generates panel layouts, drawings, and dialogue based on the prompt information, taking into account the emotional data. This generated manga data is temporarily stored on the server and sent to the user's device.

[0212] Emotion Engine Operation

[0213] User Emotion Recognition

[0214] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state, for example, recognizing emotions such as "happy" if the user is smiling and "confused" if the user is frowning.

[0215] Utilizing Emotional Data

[0216] Based on the emotional state determined by the emotion engine, the generation AI adjusts the theme and character dialogue to suit the user's current emotions. For example, if the emotion "happy" is recognized, the tone of the scenario will be made brighter.

[0217] Publishing the generated manga

[0218] Publishing the generated manga

[0219] If the user checks the generated manga and selects to make it public, the server will publish the manga on an internet platform, allowing other users to view it.

[0220] Revenue collection and distribution

[0221] Calculating revenue

[0222] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue based on this data. Revenue calculations are performed at regular intervals.

[0223] Revenue sharing

[0224] When a derivative work is created, revenue is distributed based on the pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and the derivative work, and reflects it in each of their accounts.

[0225] Specific Examples

[0226] Example of permission settings for derivative works

[0227] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[0228] Manga generation example

[0229] User B inputs "fantasy," "friendship," and "dragon" as prompts and sends them to the server. At this time, if User B's emotion is determined to be "fun," the generation AI generates a bright-toned manga based on this. The generated manga is sent to User B's device.

[0230] Revenue calculation and distribution example

[0231] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[0232] In this way, a system incorporating an emotion engine can provide a more personalized manga creation experience and create content that responds to the user's emotions. This invention will further promote technological innovation in the manga industry and provide an environment in which creators can create more freely.

[0233] The processing flow will be explained below.

[0234] Permission settings for derivative works

[0235] Step 1: User accesses the work management page

[0236] Users log in to their account from their device and access the work management page.

[0237] Step 2: User selects derivative work permission settings

[0238] Users can find the derivative work permission option on the detailed settings screen for each work and set it to "Allow" or "Not Allowed."

[0239] Step 3: The device sends the configuration data to the server

[0240] After the setting contents are determined, the user clicks the save button, and the terminal transmits this setting data to the server.

[0241] Step 4: The server records the configuration information in a database

[0242] The server analyzes the received configuration information and updates the database entry for the corresponding work.

[0243] Manga Generation

[0244] Step 1: User enters prompt information

[0245] The user accesses the interface for creating manga on their device and inputs prompt information such as genre, theme, characters, etc. At this point, the emotion engine begins to operate.

[0246] Step 2: The emotion engine analyzes the emotional state

[0247] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to analyze and determine the user's emotional state.

[0248] Step 3: The device sends prompt information and emotion data to the server.

[0249] Once all prompt information and analyzed emotion data has been entered, the terminal sends it to the server.

[0250] Step 4: The server invokes the generator

[0251] Based on the received prompt information and emotion data, the server calls the generation AI module and starts the manga generation process.

[0252] Step 5: AI automatically generates manga

[0253] The generative AI automatically generates panel layouts, drawings, and dialogue based on prompt information, taking into account emotional data.

[0254] Step 6: The server temporarily saves the generated manga and sends it to the user.

[0255] The server temporarily stores the generated manga data and sends it to the user's terminal.

[0256] Publishing the generated manga

[0257] Step 1: User chooses to publish

[0258] After checking the manga, the user can choose whether to make it public or not. If they choose to make it public, they click the corresponding button.

[0259] Step 2: The device sends a publishing request to the server

[0260] When the publish button is clicked, a publish request is sent from the terminal to the server.

[0261] Step 3: The server publishes the manga on the platform

[0262] After receiving the publication request, the server uploads the generated manga to a publishing platform on the Internet, where it can be viewed by other users.

[0263] Revenue collection and distribution

[0264] Step 1: The server records the number of views and purchases

[0265] The server periodically records various performance data (e.g., number of views, number of purchases) of the published manga.

[0266] Step 2: Server calculates revenue

[0267] Based on the recorded data, the server calculates the revenue for each manga.

[0268] Step 3: Check your derivative work revenue share

[0269] In the case of derivative works, the server checks the revenue share percentage based on the permission settings recorded in the database.

[0270] Step 4: Server shares revenue

[0271] The server distributes the revenue to the original rights holder and secondary creators and reflects it in each user's account.

[0272] Step 5: The server reports the revenue information

[0273] The server notifies each user that the revenue has been distributed, either through the terminal interface or by e-mail.

[0274] The above is the specific processing flow of the program.

[0275] Example 2

[0276] 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."

[0277] Conventional manga generation systems automatically generate manga according to set rules based on prompt information and themes entered by the user. However, they lack a personalized user experience because they are unable to take the user's emotional state into account. Furthermore, the process for setting permissions for derivative works and distributing revenue is often complicated, requiring cumbersome procedures for creators. Therefore, a system that considers the user's emotions during the content generation process and distributes revenue appropriately is needed.

[0278] 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.

[0279] In this invention, the server includes a generation means for automatically generating a manga based on prompt information specified by a user, a publishing means for publishing the generated manga, a revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, a revenue distribution means for distributing revenue to rights holders and derivative creators, a permission setting means for accepting permission settings for derivative works, an emotion analysis means for analyzing the emotional state of the user, and an emotion adjustment means for adjusting elements of the generated manga based on the emotional state. This enables content to be generated in accordance with the user's emotions, improving the personalized user experience and streamlining revenue distribution.

[0280] "Generation means" refers to a function that automatically generates a manga based on prompt information specified by the user.

[0281] "Publication means" refers to the function that allows the created manga to be published on an internet platform.

[0282] "Revenue calculation means" refers to a function that calculates revenue based on the number of views and purchases of published manga.

[0283] "Revenue distribution means" refers to the function of appropriately distributing calculated revenue to rights holders and derivative creators.

[0284] "Permission setting means" refers to a function that allows a user to set permission for derivative works.

[0285] "Emotion analysis means" refers to a function that analyzes a user's facial expressions, tone of voice, and text input to determine the user's emotional state.

[0286] The "emotion adjustment means" refers to a function that adjusts elements of the generated manga based on the emotional state determined by the emotion analysis means.

[0287] The present invention relates to a manga creation, publishing, and revenue sharing system that combines an emotion engine that recognizes user emotions. Specific embodiments for carrying out the present invention are described below.

[0288] Permission settings for derivative works

[0289] First, the user uses their device to access the work management page, where they can set whether or not derivative works are permitted. Once the user confirms this setting, the device sends the information to the server, which then records the received setting information in a database.

[0290] Examples:

[0291] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[0292] Manga Generation

[0293] The user accesses the manga generation interface on their device and inputs prompt information such as genre, theme, characters, etc. At this time, the emotion engine operates and analyzes the user's emotional state.

[0294] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state, for example, recognizing emotions such as "happy" if the user is smiling and "confused" if the user is frowning.

[0295] The server calls the generation AI module using the received prompt information and the emotion data provided by the emotion engine. The generation AI automatically generates panel layouts, drawings, and dialogue based on the prompt information, taking into account the emotion data. This generated manga data is temporarily stored on the server and sent to the user's device.

[0296] Examples:

[0297] User B enters "fantasy," "friendship," and "dragon" as prompts and sends them to the server. At this time, User B's emotion is determined to be "fun." Based on this, the generation AI generates a bright-toned manga, which is then sent to User B's device.

[0298] Publishing the generated manga

[0299] If the user checks the generated manga and selects to make it public, the server will publish the manga on an internet platform, allowing other users to view it.

[0300] Examples:

[0301] User B checks the generated manga and clicks the "Publish" button. The server uploads the manga to the publishing platform, where it becomes available for other users to view.

[0302] Revenue collection and distribution

[0303] The server records performance data such as the number of views and purchases of published manga, and calculates revenue based on this. Revenue calculations are performed at regular intervals. When derivative works are created, revenue is distributed based on pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and derivative creator, and reflects it in their respective accounts.

[0304] Examples:

[0305] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[0306] summary

[0307] In this way, a system incorporating an emotion engine can provide a personalized manga generation experience and create content that responds to the user's emotions. Using a generative AI model enables advanced automatic generation and an improved user experience. This invention will further promote technological innovation in the manga industry and provide an environment where creators can work more freely in their creative activities.

[0308] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0309] Step 1:

[0310] Permission settings for derivative works

[0311] The user accesses the work management page and sets whether or not derivative works are permitted. When the user confirms this setting, the device sends the setting information to the server. The server records the received setting information in a database.

[0312] Input: User's permission setting for derivative works (allowed / not allowed)

[0313] Data processing / calculation: The device acquires the user's setting information and sends it to the server via a communication protocol. The server stores the setting information in a database.

[0314] Output: Derivative work permission information recorded in the database

[0315] Specific behavior:

[0316] The user opens the "Hero's Adventure" administration page on their device and allows derivative works. After selecting "Allow derivative works," the setting information is sent to the server and recorded in the database.

[0317] Step 2:

[0318] Entering Prompt Information

[0319] The user accesses the manga generation interface and inputs prompt information such as genre, theme, characters, etc. Once the user confirms the data, the terminal sends the information to the server.

[0320] Input: User-prompted information (genre, theme, characters)

[0321] Data processing / calculation: The terminal obtains the prompt information and sends it to the server via a communication protocol.

[0322] Output: Prompt information sent to the server

[0323] Specific behavior:

[0324] The user sets the themes "Fantasy," "Friendship," and "Dragon," and transmits prompt information from the terminal.

[0325] Step 3:

[0326] User sentiment analysis

[0327] An emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state.

[0328] Input: User facial expressions, tone of voice, text input

[0329] Data processing / computation: Emotion analysis algorithms analyze facial expressions, tone of voice, and text data to determine emotional state.

[0330] Output: Emotional state (e.g., "happy," "confused")

[0331] Specific behavior:

[0332] The emotion engine analyzes the user's facial expressions and tone of voice through the camera and microphone and determines that the user is having fun.

[0333] Step 4:

[0334] Manga Generation

[0335] The server uses the received prompt information and emotional state data to call the generation AI module. Based on this, the generation AI automatically generates the panel layout, illustrations, and dialogue. The generated manga data is temporarily stored on the server and then sent to the user's device.

[0336] Input: prompt information, emotional state

[0337] Data processing / calculation: The server integrates the prompt information and emotional state data and calls the generation AI module. The generation AI generates a manga based on the settings.

[0338] Output: Generated manga data

[0339] Specific behavior:

[0340] The generation AI generates a manga based on the prompt information and emotional state data, which is then temporarily stored on the server and sent to the user's device.

[0341] Step 5:

[0342] Publishing the generated manga

[0343] If the user checks the generated manga and selects to make it public, the server makes the manga public on a platform on the Internet.

[0344] Input: Public selection by user

[0345] Data processing / calculation: The server receives the press of the publish button and uploads the manga data to the publishing platform.

[0346] Output: Published manga data

[0347] Specific behavior:

[0348] The user checks the generated manga and clicks the "Publish" button. The server uploads the manga to the publishing platform, where it can be viewed by other users.

[0349] Step 6:

[0350] Revenue collection and distribution

[0351] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue. Revenue is calculated at regular intervals, and the server distributes the revenue.

[0352] Input: Manga view count, purchase count, derivative work permission information

[0353] Data processing / calculation: The server records the number of views and purchases, calculates revenue using a revenue calculation algorithm, and calculates distribution based on the calculated revenue.

[0354] Output: Revenue sharing data

[0355] Specific behavior:

[0356] The server records the number of views and purchases of the published manga and calculates the revenue. The revenue is distributed to User A (original rights holder) and User C (derivative creator) and reflected in their respective accounts.

[0357] This will concretely implement a manga generation, publishing, and revenue sharing system that combines an emotion engine and generative AI model.

[0358] (Application example 2)

[0359] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0360] Conventional manga generation systems can automatically generate manga based on user input, but they do not support adjusting the manga content to reflect the user's emotions. Furthermore, detailed settings for publishing the generated manga and distributing revenues are not provided, taking into account derivative work permission information. This makes it difficult to provide content that reflects the user's emotions and distribute revenues fairly.

[0361] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes emotion recognition means for recognizing the user's emotion, generation means for automatically generating a manga based on prompt information specified by the user, publication means for publishing the generated manga, revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, revenue distribution means for distributing revenue to rights holders and derivative creators, and permission setting means for accepting permission settings for derivative works. This enables manga to be generated based on the user's emotion and also enables fair revenue distribution for the generated manga.

[0362] The "emotion recognition means" is a function that analyzes data such as the user's facial expressions and voice to determine the user's emotions.

[0363] The "generation means" is a function that automatically generates a manga based on prompt information specified by the user.

[0364] "Publication means" is a function that allows the automatically generated manga to be published on an internet platform or the like, making it viewable by other users.

[0365] The "revenue calculation means" is a function that calculates revenue based on the number of views and purchases of the published manga.

[0366] The "revenue distribution means" is a function that fairly distributes calculated revenue to rights holders and derivative creators.

[0367] The "permission setting means" is a function that allows a user to set whether or not derivative works are permitted for their own work.

[0368] "Prompt information" is information such as genre, theme, and characters that the user inputs to generate the manga.

[0369] The system for implementing this invention is capable of recognizing a user's emotions, creating and publishing manga based on those emotions, and distributing profits. This system is composed of a user terminal and a server.

[0370] emotion recognition means

[0371] The emotion recognition method uses the camera and microphone built into the smartphone or head-mounted display. This collects the user's facial expressions and voice data, and analyzes their emotions using dedicated emotion recognition software (e.g., dlib, librosa). The analyzed emotion data is sent to a server and used for other processing.

[0372] generation means

[0373] The generation means is a function that automatically generates manga based on prompt information specified by the user. The user inputs information about the genre, theme, and characters from their device. This information is sent to the server, which then calls a generative AI model (e.g., TENSORFLOW (registered trademark), PyTorch) along with emotion recognition data to generate the manga.

[0374] For example, if a user inputs the prompts "fantasy," "friendship," and "dragon," and the emotion is determined to be "fun," the generative AI model will create a fantasy work with a light tone.

[0375] Publication method

[0376] The generated manga is temporarily stored on the server and then sent to the user's device. The user can review it and choose to make it public. The publishing means allows the generated manga to be published on an internet platform where other users can view it.

[0377] Revenue calculation method

[0378] The server calculates revenue based on the number of views and purchases of the published manga. The revenue calculation means calculates revenue at regular intervals and records the results.

[0379] Revenue sharing method

[0380] The revenue distribution function distributes the revenue calculated by the server to the rights holder and the derivative creator. If a derivative creator exists, the revenue is distributed based on the pre-set permission information for the derivative work. This allows the user to obtain a fair profit.

[0381] Permission setting method

[0382] The permission setting means is a function that allows users to set whether derivative works are permitted or not for their own works. The user transmits the setting from the terminal, and the server records this information in the database.

[0383] As a specific example, consider a case where a user inputs "mystery," "tension," and "detective" as prompt information, and the system recognizes the user's emotion as "tension." Based on the emotion recognition data, the generative AI model automatically generates a tense mystery work and provides it to the user. If the user then chooses to make the manga public, it will be available for other users to view. Furthermore, revenue is calculated based on the number of views and purchases, and distributed to the rights holder and derivative creators.

[0384] Examples of prompts: "Mystery," "Suspense," "Detective"

[0385] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0386] Step 1:

[0387] The user uses a terminal to access the emotion recognition and input interface. The terminal uses a camera and microphone to collect the user's facial expressions and voice. The user also inputs prompt information such as the genre, theme, and characters of the manga to be generated. The input data is obtained as facial expression and voice data, as well as prompt information. This data is sent to the server. The inputs include facial expressions, voice, and prompt information. The output includes emotion recognition results and prompt information.

[0388] Step 2:

[0389] The server uses emotion recognition means to analyze the received facial expression and voice data and determine the user's emotion. Specifically, it uses a face recognition library (e.g., dlib) and a voice analysis library (e.g., librosa) to recognize the user's emotional state (e.g., happy, sad, nervous, etc.). The inputs are facial expression and voice data, and the output is emotion recognition data.

[0390] Step 3:

[0391] The server invokes the generation means based on the emotion recognition data and prompt information to automatically generate a manga. The generation means uses a generative AI model (e.g., TensorFlow, PyTorch) to automatically generate a manga with appropriate panel layouts, drawings, and dialogue based on the prompt information and emotion recognition data. The inputs are emotion recognition data and prompt information. The output is the generated manga data.

[0392] Step 4:

[0393] The generated manga is temporarily stored on the server and sent to the user's device. The user can then use the device to check the generated manga. The input is the generated manga data, and the output is display data for checking.

[0394] Step 5:

[0395] If a user decides to publish the manga they have verified, it is published on an internet platform using a publishing method. The published manga can be viewed by other users. The input is the verified manga data. The output is the published manga data.

[0396] Step 6:

[0397] The server collects data such as the number of views and purchases of the published manga, and calculates revenue using a revenue calculation means. The revenue calculation means calculates revenue based on performance data at regular intervals. The input is manga performance data, and the output is calculated revenue data.

[0398] Step 7:

[0399] Using the revenue distribution method, the server distributes the calculated revenue to the rights holder and the derivative creator, taking into account the derivative work permission information. The inputs are revenue data and derivative work permission information. The output is distribution data.

[0400] Through these steps, a system is realized in which manga generated based on emotions is provided to users and revenue is distributed fairly.

[0401] 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.

[0402] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0403] 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.

[0404] [Second embodiment]

[0405] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0406] 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.

[0407] 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).

[0408] 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.

[0409] 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.

[0410] 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).

[0411] 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.

[0412] 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.

[0413] 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.

[0414] 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.

[0415] 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.

[0416] 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."

[0417] As an embodiment of the present invention, we provide a system in which a user inputs prompt information, publishes the generated manga, and distributes profits to copyright holders and derivative creators. The specific processing flow is described in detail below.

[0418] Permission settings for derivative works

[0419] The user sets the permission for derivative works for the work

[0420] Users access their own work management page from their device and set whether or not derivative works are permitted. When the user sends this setting from their device to the server, the server records this setting information in a database.

[0421] Manga Generation

[0422] The user enters the prompt information

[0423] The user accesses an interface to input the genre, theme, and characters of the manga, and inputs the necessary information, which then sends prompt information from the user's terminal to the server.

[0424] Automatic manga generation using generative AI

[0425] The server analyzes the received prompt information and calls the generation AI module. This AI automatically generates the frame layout, illustrations, and dialogue based on the input information. The generated results are temporarily stored by the server and sent to the user's device.

[0426] Publishing the generated manga

[0427] Publishing the generated manga

[0428] If the user checks the generated manga and selects to make it public, the server publishes the manga on a platform on the Internet, allowing other users to view the manga.

[0429] Revenue collection and distribution

[0430] Calculating revenue

[0431] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue based on this data. Revenue calculations are performed at regular intervals.

[0432] Revenue sharing

[0433] When a derivative work is created, revenue is distributed based on the pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and the derivative work, and reflects it in each of their accounts.

[0434] Specific Examples

[0435] Example of permission settings for derivative works

[0436] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[0437] Manga generation example

[0438] User B enters "fantasy," "friendship," and "dragon" as prompts and sends them to the server. The generation AI automatically generates a manga based on this and sends it to User B's device.

[0439] Revenue calculation and distribution example

[0440] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[0441] In this way, by combining various means with various functions, manga production, publication, and revenue sharing can be smoothly carried out. This invention promotes technological innovation in the manga industry and provides an environment in which creators can engage in creative activities more freely.

[0442] The processing flow will be explained below.

[0443] Permission settings for derivative works

[0444] Step 1: User accesses the work management page

[0445] Users log in to their account from their device and access the work management page.

[0446] Step 2: User selects derivative work permission settings

[0447] Users can find the derivative work permission option on the detailed settings screen for each work and set it to "Allow" or "Not Allowed."

[0448] Step 3: The device sends the configuration data to the server

[0449] After the setting contents are determined, the user clicks the save button, and the terminal transmits this setting data to the server.

[0450] Step 4: The server records the configuration information in a database

[0451] The server analyzes the received configuration information and updates the database entry for the corresponding work.

[0452] Manga Generation

[0453] Step 1: User enters prompt information

[0454] The user accesses the interface for creating manga on the terminal and inputs prompt information such as genre, theme, and characters.

[0455] Step 2: The device sends the prompt information to the server

[0456] Once all the prompt information has been entered, the terminal sends it to the server.

[0457] Step 3: The server calls the generated AI

[0458] The server analyzes the received prompt information, calls the generation AI module, and starts the manga generation process.

[0459] Step 4: AI automatically generates manga

[0460] The generation AI automatically generates panel layouts, drawings, and dialogue based on the input prompt information.

[0461] Step 5: The server temporarily saves the generated manga and sends it to the user.

[0462] The server temporarily stores the generated manga data and sends it to the user's terminal.

[0463] Publishing the generated manga

[0464] Step 1: User chooses to publish

[0465] After checking the manga, the user can choose whether to make it public or not. If they choose to make it public, they click the corresponding button.

[0466] Step 2: The device sends a publishing request to the server

[0467] When the publish button is clicked, a publish request is sent from the terminal to the server.

[0468] Step 3: The server publishes the manga on the platform

[0469] After receiving the publication request, the server uploads the generated manga to a publishing platform on the Internet, where it can be viewed by other users.

[0470] Revenue collection and distribution

[0471] Step 1: The server records the number of views and purchases

[0472] The server periodically records various performance data (e.g., number of views, number of purchases) of the published manga.

[0473] Step 2: Server calculates revenue

[0474] Based on the recorded data, the server calculates the revenue for each manga.

[0475] Step 3: Check your derivative work revenue share

[0476] In the case of derivative works, the server checks the revenue share percentage based on the permission settings recorded in the database.

[0477] Step 4: Server shares revenue

[0478] The server distributes the revenue to the original rights holder and secondary creators and reflects it in each user's account.

[0479] Step 5: The server reports the revenue information

[0480] The server notifies each user that the revenue has been distributed, either through the terminal interface or by e-mail.

[0481] The above is the specific processing flow of the program.

[0482] Example 1

[0483] 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."

[0484] Conventional manga creation platforms lack efficient methods for users to easily automate the creation of manga through prompt information or publish it online. There are also challenges in calculating revenue for the manga and distributing it fairly to copyright holders and derivative creators. This makes it difficult for creators to freely pursue their creative activities and earn revenue.

[0485] 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.

[0486] In this invention, the server includes a generation means for automatically generating manga based on prompt information specified by the user, a publishing means for publishing the generated manga, a revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, a revenue distribution means for distributing revenue to rights holders and derivative creators, and a permission setting means for the user to set permissions for derivative works for a work. This allows users to easily generate and publish manga and enables revenue to be distributed fairly.

[0487] "User" refers to a general user who uses the system to create, configure, and publish manga.

[0488] "Prompt information" is data entered by the user that includes information about the genre, theme, and characters of the manga.

[0489] "Generation means" refers to algorithms or technologies for automatically generating manga based on prompt information.

[0490] "Publication means" is a function that allows other users to view the created manga on an internet platform.

[0491] The "revenue calculation method" is a function that calculates revenue based on performance data such as the number of views and purchases of published manga.

[0492] "Revenue distribution means" is a function that distributes calculated revenue to rights holders and derivative creators.

[0493] The "permission setting means" is an interface that allows the user to set whether or not derivative works are permitted, and a function that records that information on the server.

[0494] "Derivative creation" is the act of creating a new work based on an existing manga, and requires permission from the original rights holder.

[0495] "Rights holder" refers to the original author of the manga or the person or organization that holds the copyright.

[0496] A "derivative creator" is a creator who creates new manga based on an existing work with the permission of the original rights holder.

[0497] A "server" is a computer system that processes information received from users and performs functions such as generation, publication, revenue calculation and distribution.

[0498] A "database" is a system that allows the server to store data such as user settings information and generated manga.

[0499] An "interface" is a screen or operating means that allows a user to input prompt information and set permissions for derivative works.

[0500] As an embodiment of this invention, we provide a system in which a user inputs prompt information, a generative AI model is used to automatically generate a manga, the manga is published, and profits are distributed to rights holders and derivative creators. The specific process flow and the necessary hardware and software are described in detail below.

[0501] Permission settings for derivative works

[0502] Users access their own work management page on a device connected to the Internet. For example, they log in to a dedicated management page using a web browser. There, users can set whether or not derivative works are permitted. When the user sends this setting information from their device, it is received by the server and recorded in the database. A specific setting example is checking "Allow derivative works" on the management page for a work called "Hero's Adventure." The server used can be Apache, and the database server can be MySQL.

[0503] Manga Generation

[0504] The user inputs prompt information for the manga through the terminal interface. This interface allows the user to input the genre, theme, and characters of the manga. For example, prompt information such as "fantasy," "friendship," and "dragon" can be input. When the user completes the input and clicks the send button, the prompt information is sent from the terminal to the server.

[0505] The server receives and analyzes this prompt information. After analysis, it calls a generation AI module (such as OpenAI's GPT-4) to automatically generate the manga panels, illustrations, and dialogue based on the input information. The generated manga is temporarily stored on the server, and the generated results are then sent from the server to the user's device.

[0506] Examples of prompts include:

[0507] "The manga genre is fantasy, the theme is friendship, and the characters are dragons."

[0508] Publishing the generated manga

[0509] The user checks the generated manga and selects "Publish" on the interface. When the user selects "Publish," the server uploads the generated manga to a platform on the Internet, allowing other users to view the manga.

[0510] Revenue collection and distribution

[0511] Performance data such as the number of views and purchases for published manga is recorded by the server. Revenue is automatically calculated on the server based on this data. Revenue calculations are performed periodically, and after calculation, the server distributes the revenue to the rights holder and derivative creators. Distribution is based on pre-set derivative creation permission information.

[0512] A specific example of operation is when User C creates a derivative work based on User A's "Hero's Adventure" and the work becomes popular. In this case, the server records revenue information and distributes the revenue to User A (original rights holder) and User C (derivative creator).

[0513] As described above, this system allows users to efficiently generate and publish manga and appropriately distribute revenue. Smooth operation is achieved by properly coordinating the web server, database server, and generation AI module.

[0514] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0515] Step 1:

[0516] Users access their own work management page on a device connected to the Internet. Here, they set their permission settings for derivative works. Specifically, they log in to the management page using a web browser and check the box that says "Allow derivative works." This operation inputs permission settings from the user to the device, which receives the information and sends it to the server. The server records this setting information in a database and reflects the settings specified by the user.

[0517] Step 2:

[0518] The user inputs prompt information through the terminal interface. In this interface, the user inputs the genre, theme, and characters of the manga. Specifically, the user enters prompt information such as "fantasy," "friendship," and "dragon" into the input fields. The user's input (prompt information) is transmitted to the terminal and then sent from the terminal to the server. The server receives this prompt information.

[0519] Step 3:

[0520] The server analyzes the received prompt information. Specifically, it processes the data to pass the prompt information to the generation AI module. It then calls the generation AI module (e.g., OpenAI's GPT-4) and automatically generates a manga based on the prompt information. The generation AI module generates the panel layout, illustrations, and dialogue. The generated manga data is temporarily stored on the server. The server then sends the generation results to the user's device.

[0521] Step 4:

[0522] The user can view the manga they have created through their device. When the user selects "Publish," the device sends the instruction to the server. The server receives the instruction and uploads the manga to an internet platform, allowing other users to view it.

[0523] Step 5:

[0524] The server records performance data such as the number of views and purchases of the published manga. User activity data (number of views, number of purchases) is sent to the server, which automatically calculates revenue based on this data. Revenue calculations are performed at regular intervals, and the results are passed to the revenue distribution means.

[0525] Step 6:

[0526] As a revenue distribution method, the server distributes revenue to the rights holder and derivative creator. The derivative creation permission information is used during distribution. The final revenue amount is calculated and reflected in each account. Specifically, the revenue is distributed and reflected in the accounts of User A (original rights holder) and User C (derivative creator).

[0527] (Application example 1)

[0528] 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."

[0529] Conventional manga production systems require users to manually create panels, draw illustrations, and write dialogue, requiring a great deal of time and effort. This makes it difficult for creators to freely engage in creative activities, and there is a problem with incomplete revenue sharing between rights holders and derivative creators, especially in the case of derivative works. Furthermore, there are significant shortcomings in systems that allow users to easily create and monetize manga using devices such as smartphones.

[0530] 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.

[0531] In this invention, the server includes: a generating means for automatically generating a manga based on prompt information specified by a user; a publishing means for publishing the generated manga; a revenue calculating means for calculating revenue based on the number of views and purchases of the published manga; a revenue distribution means for distributing revenue to rights holders and derivative creators; a permission setting means for accepting permission settings for derivative works; and a means that operates on a terminal including a smartphone and includes a user interface for checking and publishing the generated manga. This allows users to easily input prompt information using a smartphone and generate and publish high-quality manga in a short amount of time, while ensuring transparency in revenue distribution and providing an environment in which creators can engage in creative activities more freely and efficiently.

[0532] "Prompt information" is information about the genre, theme, and characters that the user specifies for manga generation.

[0533] The "generation means" is a means for automatically generating a manga based on prompt information specified by the user.

[0534] "Means of publication" refers to the means by which the created manga is made public on an internet platform or the like.

[0535] The "revenue calculation means" is a means for calculating revenue based on performance data such as the number of views and purchases of the published manga.

[0536] "Revenue distribution means" refers to a means for distributing calculated revenue to rights holders and derivative creators.

[0537] The "permission setting means" is a means by which a user can set whether or not derivative works of his / her own work are permitted.

[0538] A "smartphone" is a type of mobile information terminal that combines computer functions with a mobile phone.

[0539] A "terminal" is a device that allows a user to access the system through an interface, and includes smartphones, personal computers, etc.

[0540] The "user interface" is an interface that allows a user to check and publish the created manga, and operates on a terminal.

[0541] "Fan-made works" are the act of creating new works based on existing manga works.

[0542] This invention is a system in which a user inputs prompt information from a device such as a smartphone, and based on this, a generative AI model automatically generates and publishes a manga. Furthermore, revenue is calculated based on the number of views and purchases of the generated manga, and the revenue is distributed to rights holders and derivative creators. Specific embodiments are described in detail below.

[0543] Permission settings for derivative works

[0544] The server accepts users' settings for allowing derivative works of their own works. Users access the work management page from their devices and select whether or not to allow derivative works. This setting information is sent from the user's device to the server, and the server records this information in a database.

[0545] Manga Generation

[0546] The user uses a dedicated interface to input prompt information about the genre, theme, and characters of the manga. For example, prompt information may include "genre: fantasy," "theme: friendship," and "characters: dragons." This information is sent from the user's terminal to the server.

[0547] The server analyzes the received prompt information and automatically generates the manga using a generative AI model. This generation process uses Python, a database (e.g., SQLite, PostgreSQL), and a generative AI model (e.g., OpenAI GPT). The generative AI model automatically generates panel layouts, illustrations, and dialogue based on the input prompt information. The generated manga is temporarily stored on the server and sent to the user's device.

[0548] Publishing the generated manga

[0549] The user can check the generated manga and choose whether to publish it. When the user presses the publish button, the server publishes the manga on an internet platform, making it available for other users to view.

[0550] Revenue collection and distribution

[0551] The server records performance data such as the number of views and purchases of the published manga and calculates revenue. Revenue calculations are performed at regular intervals and are calculated using a Python program. For example, if a created manga is viewed 1,000 times, revenue will be calculated as 5,000 yen. Revenue distribution is based on the set derivative work permission information and is reflected in the accounts of both the rights holder and the derivative creator.

[0552] Specific examples

[0553] User A sets permission for derivative works on the management page for a work called "Hero's Adventure," and this information is sent to the server and recorded in the database. Next, User B enters prompt information such as "fantasy," "friendship," and "dragon," and sends it to the server. The generative AI model automatically generates a manga based on this information and sends it to User B's device. User B checks the generated manga and presses the publish button to publish it on an online platform. After a certain period of time, the generated manga is viewed 1,000 times, and 5,000 yen is calculated as revenue. This revenue is distributed to User A (the original rights holder) and User C (the derivative creator) based on the derivative work permission information.

[0554] As described above, the present invention provides a method for easily generating, publishing, and sharing profits from manga using a smartphone or server.

[0555] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0556] Step 1:

[0557] The user accesses the system's work management page using a terminal and sets the permission settings for derivative works. The user opens the work management page and selects whether or not to allow derivative works. This sends the permission setting information from the user's terminal to the server. When this setting information reaches the server, the server records this information in a database.

[0558] Input: Permission information for derivative works set by the user on the device

[0559] Output: Permissions saved in the database

[0560] Step 2:

[0561] The user accesses the manga generation interface from a terminal and inputs prompt information. The user inputs information about the manga genre, theme, and characters. For example, the user might provide information such as "genre: fantasy," "theme: friendship," and "characters: dragons."

[0562] Input: Prompt information entered by the user at the terminal

[0563] Output: Prompt information sent to the server

[0564] Step 3:

[0565] The server analyzes the received prompt information and calls a generative AI model to automatically generate the manga. The generative AI model generates panel layouts, drawings, and dialogue based on the prompt information. This generation process uses a Python program and a generative AI model (e.g., OpenAI GPT).

[0566] Input: Prompt information sent to the server

[0567] Output: Manga data generated by the generative AI model

[0568] Step 4:

[0569] The server temporarily stores the generated manga data and sends it to the user's device, where the user can check the generated manga and decide whether to make it public.

[0570] Input: Manga data generated by a generative AI model

[0571] Output: Manga data sent to the user's device

[0572] Step 5:

[0573] When a user presses the publish button, the server publishes the manga on an internet platform, where it can be viewed by other users.

[0574] Input: Manga data selected for publication on the user's device

[0575] Output: Manga published on the Internet

[0576] Step 6:

[0577] The server records performance data such as the number of views and purchases of the published manga. The server periodically calculates revenue based on this data. A Python program is used to calculate revenue; for example, if a manga is viewed 1,000 times, 5,000 yen is calculated as revenue.

[0578] Input: Data on the number of views and purchases of published manga

[0579] Output: Calculated revenue data

[0580] Step 7:

[0581] The server distributes revenue to the rights holder and derivative creators using the revenue distribution method. The revenue distribution is based on the pre-set derivative creation permission information. The calculated revenue is reflected in the accounts of the rights holder and derivative creators.

[0582] Input: Calculated revenue data and derivative work permission information

[0583] Output: Revenue reflected in the rights holder's and derivative creator's accounts

[0584] The above are the specific processing steps when a user uses the manga generation system.

[0585] 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.

[0586] As an embodiment of the present invention, we provide a manga creation, publishing, and revenue sharing system that combines an emotion engine that recognizes user emotions. The specific processing flow is described in detail below.

[0587] Permission settings for derivative works

[0588] The user sets the permission for derivative works for the work

[0589] Users access their own work management page from their device and set whether or not derivative works are permitted. When the user sends this setting from their device to the server, the server records this setting information in a database.

[0590] Manga Generation

[0591] The user enters the prompt information

[0592] The user accesses the interface for creating manga on their device and inputs prompt information such as genre, theme, characters, etc. At this point, the emotion engine starts working and analyzes the user's emotional state.

[0593] Automatic manga generation using generative AI

[0594] The server analyzes the received prompt information and calls the generation AI module based on the emotional data provided by the emotion engine. The generation AI automatically generates panel layouts, drawings, and dialogue based on the prompt information, taking into account the emotional data. This generated manga data is temporarily stored on the server and sent to the user's device.

[0595] Emotion Engine Operation

[0596] User Emotion Recognition

[0597] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state, for example, recognizing emotions such as "happy" if the user is smiling and "confused" if the user is frowning.

[0598] Utilizing Emotional Data

[0599] Based on the emotional state determined by the emotion engine, the generation AI adjusts the theme and character dialogue to suit the user's current emotions. For example, if the emotion "happy" is recognized, the tone of the scenario will be made brighter.

[0600] Publishing the generated manga

[0601] Publishing the generated manga

[0602] If the user checks the generated manga and selects to make it public, the server will publish the manga on an internet platform, allowing other users to view it.

[0603] Revenue collection and distribution

[0604] Calculating revenue

[0605] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue based on this data. Revenue calculations are performed at regular intervals.

[0606] Revenue sharing

[0607] When a derivative work is created, revenue is distributed based on the pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and the derivative work, and reflects it in each of their accounts.

[0608] Specific Examples

[0609] Example of permission settings for derivative works

[0610] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[0611] Manga generation example

[0612] User B inputs "fantasy," "friendship," and "dragon" as prompts and sends them to the server. At this time, if User B's emotion is determined to be "fun," the generation AI generates a bright-toned manga based on this. The generated manga is sent to User B's device.

[0613] Revenue calculation and distribution example

[0614] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[0615] In this way, a system incorporating an emotion engine can provide a more personalized manga creation experience and create content that responds to the user's emotions. This invention will further promote technological innovation in the manga industry and provide an environment in which creators can create more freely.

[0616] The processing flow will be explained below.

[0617] Permission settings for derivative works

[0618] Step 1: User accesses the work management page

[0619] Users log in to their account from their device and access the work management page.

[0620] Step 2: User selects derivative work permission settings

[0621] Users can find the derivative work permission option on the detailed settings screen for each work and set it to "Allow" or "Not Allowed."

[0622] Step 3: The device sends the configuration data to the server

[0623] After the setting contents are determined, the user clicks the save button, and the terminal transmits this setting data to the server.

[0624] Step 4: The server records the configuration information in a database

[0625] The server analyzes the received configuration information and updates the database entry for the corresponding work.

[0626] Manga Generation

[0627] Step 1: User enters prompt information

[0628] The user accesses the interface for creating manga on their device and inputs prompt information such as genre, theme, characters, etc. At this point, the emotion engine begins to operate.

[0629] Step 2: The emotion engine analyzes the emotional state

[0630] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to analyze and determine the user's emotional state.

[0631] Step 3: The device sends prompt information and emotion data to the server.

[0632] Once all prompt information and analyzed emotion data has been entered, the terminal sends it to the server.

[0633] Step 4: The server invokes the generator

[0634] Based on the received prompt information and emotion data, the server calls the generation AI module and starts the manga generation process.

[0635] Step 5: AI automatically generates manga

[0636] The generative AI automatically generates panel layouts, drawings, and dialogue based on prompt information, taking into account emotional data.

[0637] Step 6: The server temporarily saves the generated manga and sends it to the user.

[0638] The server temporarily stores the generated manga data and sends it to the user's terminal.

[0639] Publishing the generated manga

[0640] Step 1: User chooses to publish

[0641] After checking the manga, the user can choose whether to make it public or not. If they choose to make it public, they click the corresponding button.

[0642] Step 2: The device sends a publishing request to the server

[0643] When the publish button is clicked, a publish request is sent from the terminal to the server.

[0644] Step 3: The server publishes the manga on the platform

[0645] After receiving the publication request, the server uploads the generated manga to a publishing platform on the Internet, where it can be viewed by other users.

[0646] Revenue collection and distribution

[0647] Step 1: The server records the number of views and purchases

[0648] The server periodically records various performance data (e.g., number of views, number of purchases) of the published manga.

[0649] Step 2: Server calculates revenue

[0650] Based on the recorded data, the server calculates the revenue for each manga.

[0651] Step 3: Check your derivative work revenue share

[0652] In the case of derivative works, the server checks the revenue share percentage based on the permission settings recorded in the database.

[0653] Step 4: Server shares revenue

[0654] The server distributes the revenue to the original rights holder and secondary creators and reflects it in each user's account.

[0655] Step 5: The server reports the revenue information

[0656] The server notifies each user that the revenue has been distributed, either through the terminal interface or by e-mail.

[0657] The above is the specific processing flow of the program.

[0658] Example 2

[0659] 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."

[0660] Conventional manga generation systems automatically generate manga according to set rules based on prompt information and themes entered by the user. However, they lack a personalized user experience because they are unable to take the user's emotional state into account. Furthermore, the process for setting permissions for derivative works and distributing revenue is often complicated, requiring cumbersome procedures for creators. Therefore, a system that considers the user's emotions during the content generation process and distributes revenue appropriately is needed.

[0661] 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.

[0662] In this invention, the server includes a generation means for automatically generating a manga based on prompt information specified by a user, a publishing means for publishing the generated manga, a revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, a revenue distribution means for distributing revenue to rights holders and derivative creators, a permission setting means for accepting permission settings for derivative works, an emotion analysis means for analyzing the emotional state of the user, and an emotion adjustment means for adjusting elements of the generated manga based on the emotional state. This enables content to be generated in accordance with the user's emotions, improving the personalized user experience and streamlining revenue distribution.

[0663] "Generation means" refers to a function that automatically generates a manga based on prompt information specified by the user.

[0664] "Publication means" refers to the function that allows the created manga to be published on an internet platform.

[0665] "Revenue calculation means" refers to a function that calculates revenue based on the number of views and purchases of published manga.

[0666] "Revenue distribution means" refers to the function of appropriately distributing calculated revenue to rights holders and derivative creators.

[0667] "Permission setting means" refers to a function that allows a user to set permission for derivative works.

[0668] "Emotion analysis means" refers to a function that analyzes a user's facial expressions, tone of voice, and text input to determine the user's emotional state.

[0669] The "emotion adjustment means" refers to a function that adjusts elements of the generated manga based on the emotional state determined by the emotion analysis means.

[0670] The present invention relates to a manga creation, publishing, and revenue sharing system that combines an emotion engine that recognizes user emotions. Specific embodiments for carrying out the present invention are described below.

[0671] Permission settings for derivative works

[0672] First, the user uses their device to access the work management page, where they can set whether or not derivative works are permitted. Once the user confirms this setting, the device sends the information to the server, which then records the received setting information in a database.

[0673] Examples:

[0674] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[0675] Manga Generation

[0676] The user accesses the manga generation interface on their device and inputs prompt information such as genre, theme, characters, etc. At this time, the emotion engine operates and analyzes the user's emotional state.

[0677] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state, for example, recognizing emotions such as "happy" if the user is smiling and "confused" if the user is frowning.

[0678] The server calls the generation AI module using the received prompt information and the emotion data provided by the emotion engine. The generation AI automatically generates panel layouts, drawings, and dialogue based on the prompt information, taking into account the emotion data. This generated manga data is temporarily stored on the server and sent to the user's device.

[0679] Examples:

[0680] User B enters "fantasy," "friendship," and "dragon" as prompts and sends them to the server. At this time, User B's emotion is determined to be "fun." Based on this, the generation AI generates a bright-toned manga, which is then sent to User B's device.

[0681] Publishing the generated manga

[0682] If the user checks the generated manga and selects to make it public, the server will publish the manga on an internet platform, allowing other users to view it.

[0683] Examples:

[0684] User B checks the generated manga and clicks the "Publish" button. The server uploads the manga to the publishing platform, where it becomes available for other users to view.

[0685] Revenue collection and distribution

[0686] The server records performance data such as the number of views and purchases of published manga, and calculates revenue based on this. Revenue calculations are performed at regular intervals. When derivative works are created, revenue is distributed based on pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and derivative creator, and reflects it in their respective accounts.

[0687] Examples:

[0688] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[0689] summary

[0690] In this way, a system incorporating an emotion engine can provide a personalized manga generation experience and create content that responds to the user's emotions. Using a generative AI model enables advanced automatic generation and an improved user experience. This invention will further promote technological innovation in the manga industry and provide an environment where creators can work more freely in their creative activities.

[0691] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0692] Step 1:

[0693] Permission settings for derivative works

[0694] The user accesses the work management page and sets whether or not derivative works are permitted. When the user confirms this setting, the device sends the setting information to the server. The server records the received setting information in a database.

[0695] Input: User's permission setting for derivative works (allowed / not allowed)

[0696] Data processing / calculation: The device acquires the user's setting information and sends it to the server via a communication protocol. The server stores the setting information in a database.

[0697] Output: Derivative work permission information recorded in the database

[0698] Specific behavior:

[0699] The user opens the "Hero's Adventure" administration page on their device and allows derivative works. After selecting "Allow derivative works," the setting information is sent to the server and recorded in the database.

[0700] Step 2:

[0701] Entering Prompt Information

[0702] The user accesses the manga generation interface and inputs prompt information such as genre, theme, characters, etc. Once the user confirms the data, the terminal sends the information to the server.

[0703] Input: User-prompted information (genre, theme, characters)

[0704] Data processing / calculation: The terminal obtains the prompt information and sends it to the server via a communication protocol.

[0705] Output: Prompt information sent to the server

[0706] Specific behavior:

[0707] The user sets the themes "Fantasy," "Friendship," and "Dragon," and transmits prompt information from the terminal.

[0708] Step 3:

[0709] User sentiment analysis

[0710] An emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state.

[0711] Input: User facial expressions, tone of voice, text input

[0712] Data processing / computation: Emotion analysis algorithms analyze facial expressions, tone of voice, and text data to determine emotional state.

[0713] Output: Emotional state (e.g., "happy," "confused")

[0714] Specific behavior:

[0715] The emotion engine analyzes the user's facial expressions and tone of voice through the camera and microphone and determines that the user is having fun.

[0716] Step 4:

[0717] Manga Generation

[0718] The server uses the received prompt information and emotional state data to call the generation AI module. Based on this, the generation AI automatically generates the panel layout, illustrations, and dialogue. The generated manga data is temporarily stored on the server and then sent to the user's device.

[0719] Input: prompt information, emotional state

[0720] Data processing / calculation: The server integrates the prompt information and emotional state data and calls the generation AI module. The generation AI generates a manga based on the settings.

[0721] Output: Generated manga data

[0722] Specific behavior:

[0723] The generation AI generates a manga based on the prompt information and emotional state data, which is then temporarily stored on the server and sent to the user's device.

[0724] Step 5:

[0725] Publishing the generated manga

[0726] If the user checks the generated manga and selects to make it public, the server makes the manga public on a platform on the Internet.

[0727] Input: Public selection by user

[0728] Data processing / calculation: The server receives the press of the publish button and uploads the manga data to the publishing platform.

[0729] Output: Published manga data

[0730] Specific behavior:

[0731] The user checks the generated manga and clicks the "Publish" button. The server uploads the manga to the publishing platform, where it can be viewed by other users.

[0732] Step 6:

[0733] Revenue collection and distribution

[0734] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue. Revenue is calculated at regular intervals, and the server distributes the revenue.

[0735] Input: Manga view count, purchase count, derivative work permission information

[0736] Data processing / calculation: The server records the number of views and purchases, calculates revenue using a revenue calculation algorithm, and calculates distribution based on the calculated revenue.

[0737] Output: Revenue sharing data

[0738] Specific behavior:

[0739] The server records the number of views and purchases of the published manga and calculates the revenue. The revenue is distributed to User A (original rights holder) and User C (derivative creator) and reflected in their respective accounts.

[0740] This will concretely implement a manga generation, publishing, and revenue sharing system that combines an emotion engine and generative AI model.

[0741] (Application example 2)

[0742] 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."

[0743] Conventional manga generation systems can automatically generate manga based on user input, but they do not support adjusting the manga content to reflect the user's emotions. Furthermore, detailed settings for publishing the generated manga and distributing revenues are not provided, taking into account derivative work permission information. This makes it difficult to provide content that reflects the user's emotions and distribute revenues fairly.

[0744] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes emotion recognition means for recognizing the user's emotion, generation means for automatically generating a manga based on prompt information specified by the user, publication means for publishing the generated manga, revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, revenue distribution means for distributing revenue to rights holders and derivative creators, and permission setting means for accepting permission settings for derivative works. This enables manga to be generated based on the user's emotion and also enables fair revenue distribution for the generated manga.

[0745] The "emotion recognition means" is a function that analyzes data such as the user's facial expressions and voice to determine the user's emotions.

[0746] The "generation means" is a function that automatically generates a manga based on prompt information specified by the user.

[0747] "Publication means" is a function that allows the automatically generated manga to be published on an internet platform or the like, making it viewable by other users.

[0748] The "revenue calculation means" is a function that calculates revenue based on the number of views and purchases of the published manga.

[0749] The "revenue distribution means" is a function that fairly distributes calculated revenue to rights holders and derivative creators.

[0750] The "permission setting means" is a function that allows a user to set whether or not derivative works are permitted for their own work.

[0751] "Prompt information" is information such as genre, theme, and characters that the user inputs to generate the manga.

[0752] The system for implementing this invention is capable of recognizing a user's emotions, creating and publishing manga based on those emotions, and distributing profits. This system is composed of a user terminal and a server.

[0753] emotion recognition means

[0754] The emotion recognition method uses the camera and microphone built into the smartphone or head-mounted display. This collects the user's facial expressions and voice data, and analyzes their emotions using dedicated emotion recognition software (e.g., dlib, librosa). The analyzed emotion data is sent to a server and used for other processing.

[0755] generation means

[0756] The generation method is a function that automatically generates manga based on prompt information specified by the user. The user inputs information about the genre, theme, and characters from their device. This information is sent to the server, which then calls a generative AI model (e.g., TensorFlow, PyTorch) along with emotion recognition data to generate the manga.

[0757] For example, if a user inputs the prompts "fantasy," "friendship," and "dragon," and the emotion is determined to be "fun," the generative AI model will create a fantasy work with a light tone.

[0758] Publication method

[0759] The generated manga is temporarily stored on the server and then sent to the user's device. The user can review it and choose to make it public. The publishing means allows the generated manga to be published on an internet platform where other users can view it.

[0760] Revenue calculation method

[0761] The server calculates revenue based on the number of views and purchases of the published manga. The revenue calculation means calculates revenue at regular intervals and records the results.

[0762] Revenue sharing method

[0763] The revenue distribution function distributes the revenue calculated by the server to the rights holder and the derivative creator. If a derivative creator exists, the revenue is distributed based on the pre-set permission information for the derivative work. This allows the user to obtain a fair profit.

[0764] Permission setting method

[0765] The permission setting means is a function that allows users to set whether derivative works are permitted or not for their own works. The user transmits the setting from the terminal, and the server records this information in the database.

[0766] As a specific example, consider a case where a user inputs "mystery," "tension," and "detective" as prompt information, and the system recognizes the user's emotion as "tension." Based on the emotion recognition data, the generative AI model automatically generates a tense mystery work and provides it to the user. If the user then chooses to make the manga public, it will be available for other users to view. Furthermore, revenue is calculated based on the number of views and purchases, and distributed to the rights holder and derivative creators.

[0767] Examples of prompts: "Mystery," "Suspense," "Detective"

[0768] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0769] Step 1:

[0770] The user uses a terminal to access the emotion recognition and input interface. The terminal uses a camera and microphone to collect the user's facial expressions and voice. The user also inputs prompt information such as the genre, theme, and characters of the manga to be generated. The input data is obtained as facial expression and voice data, as well as prompt information. This data is sent to the server. The inputs include facial expressions, voice, and prompt information. The output includes emotion recognition results and prompt information.

[0771] Step 2:

[0772] The server uses emotion recognition means to analyze the received facial expression and voice data and determine the user's emotion. Specifically, it uses a face recognition library (e.g., dlib) and a voice analysis library (e.g., librosa) to recognize the user's emotional state (e.g., happy, sad, nervous, etc.). The inputs are facial expression and voice data, and the output is emotion recognition data.

[0773] Step 3:

[0774] The server invokes the generation means based on the emotion recognition data and prompt information to automatically generate a manga. The generation means uses a generative AI model (e.g., TensorFlow, PyTorch) to automatically generate a manga with appropriate panel layouts, drawings, and dialogue based on the prompt information and emotion recognition data. The inputs are emotion recognition data and prompt information. The output is the generated manga data.

[0775] Step 4:

[0776] The generated manga is temporarily stored on the server and sent to the user's device. The user can then use the device to check the generated manga. The input is the generated manga data, and the output is display data for checking.

[0777] Step 5:

[0778] If a user decides to publish the manga they have verified, it is published on an internet platform using a publishing method. The published manga can be viewed by other users. The input is the verified manga data. The output is the published manga data.

[0779] Step 6:

[0780] The server collects data such as the number of views and purchases of the published manga, and calculates revenue using a revenue calculation means. The revenue calculation means calculates revenue based on performance data at regular intervals. The input is manga performance data, and the output is calculated revenue data.

[0781] Step 7:

[0782] Using the revenue distribution method, the server distributes the calculated revenue to the rights holder and the derivative creator, taking into account the derivative work permission information. The inputs are revenue data and derivative work permission information. The output is distribution data.

[0783] Through these steps, a system is realized in which manga generated based on emotions is provided to users and revenue is distributed fairly.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] [Third embodiment]

[0788] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0789] 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.

[0790] 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).

[0791] 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.

[0792] 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.

[0793] 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).

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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."

[0800] As an embodiment of the present invention, we provide a system in which a user inputs prompt information, publishes the generated manga, and distributes profits to copyright holders and derivative creators. The specific processing flow is described in detail below.

[0801] Permission settings for derivative works

[0802] The user sets the permission for derivative works for the work

[0803] Users access their own work management page from their device and set whether or not derivative works are permitted. When the user sends this setting from their device to the server, the server records this setting information in a database.

[0804] Manga Generation

[0805] The user enters the prompt information

[0806] The user accesses an interface to input the genre, theme, and characters of the manga, and inputs the necessary information, which then sends prompt information from the user's terminal to the server.

[0807] Automatic manga generation using generative AI

[0808] The server analyzes the received prompt information and calls the generation AI module. This AI automatically generates the frame layout, illustrations, and dialogue based on the input information. The generated results are temporarily stored by the server and sent to the user's device.

[0809] Publishing the generated manga

[0810] Publishing the generated manga

[0811] If the user checks the generated manga and selects to make it public, the server publishes the manga on a platform on the Internet, allowing other users to view the manga.

[0812] Revenue collection and distribution

[0813] Calculating revenue

[0814] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue based on this data. Revenue calculations are performed at regular intervals.

[0815] Revenue sharing

[0816] When a derivative work is created, revenue is distributed based on the pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and the derivative work, and reflects it in each of their accounts.

[0817] Specific Examples

[0818] Example of permission settings for derivative works

[0819] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[0820] Manga generation example

[0821] User B enters "fantasy," "friendship," and "dragon" as prompts and sends them to the server. The generation AI automatically generates a manga based on this and sends it to User B's device.

[0822] Revenue calculation and distribution example

[0823] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[0824] In this way, by combining various means with various functions, manga production, publication, and revenue sharing can be smoothly carried out. This invention promotes technological innovation in the manga industry and provides an environment in which creators can engage in creative activities more freely.

[0825] The processing flow will be explained below.

[0826] Permission settings for derivative works

[0827] Step 1: User accesses the work management page

[0828] Users log in to their account from their device and access the work management page.

[0829] Step 2: User selects derivative work permission settings

[0830] Users can find the derivative work permission option on the detailed settings screen for each work and set it to "Allow" or "Not Allowed."

[0831] Step 3: The device sends the configuration data to the server

[0832] After the setting contents are determined, the user clicks the save button, and the terminal transmits this setting data to the server.

[0833] Step 4: The server records the configuration information in a database

[0834] The server analyzes the received configuration information and updates the database entry for the corresponding work.

[0835] Manga Generation

[0836] Step 1: User enters prompt information

[0837] The user accesses the interface for creating manga on the terminal and inputs prompt information such as genre, theme, and characters.

[0838] Step 2: The device sends the prompt information to the server

[0839] Once all the prompt information has been entered, the terminal sends it to the server.

[0840] Step 3: The server calls the generated AI

[0841] The server analyzes the received prompt information, calls the generation AI module, and starts the manga generation process.

[0842] Step 4: AI automatically generates manga

[0843] The generation AI automatically generates panel layouts, drawings, and dialogue based on the input prompt information.

[0844] Step 5: The server temporarily saves the generated manga and sends it to the user.

[0845] The server temporarily stores the generated manga data and sends it to the user's terminal.

[0846] Publishing the generated manga

[0847] Step 1: User chooses to publish

[0848] After checking the manga, the user can choose whether to make it public or not. If they choose to make it public, they click the corresponding button.

[0849] Step 2: The device sends a publishing request to the server

[0850] When the publish button is clicked, a publish request is sent from the terminal to the server.

[0851] Step 3: The server publishes the manga on the platform

[0852] After receiving the publication request, the server uploads the generated manga to a publishing platform on the Internet, where it can be viewed by other users.

[0853] Revenue collection and distribution

[0854] Step 1: The server records the number of views and purchases

[0855] The server periodically records various performance data (e.g., number of views, number of purchases) of the published manga.

[0856] Step 2: Server calculates revenue

[0857] Based on the recorded data, the server calculates the revenue for each manga.

[0858] Step 3: Check your derivative work revenue share

[0859] In the case of derivative works, the server checks the revenue share percentage based on the permission settings recorded in the database.

[0860] Step 4: Server shares revenue

[0861] The server distributes the revenue to the original rights holder and secondary creators and reflects it in each user's account.

[0862] Step 5: The server reports the revenue information

[0863] The server notifies each user that the revenue has been distributed, either through the terminal interface or by e-mail.

[0864] The above is the specific processing flow of the program.

[0865] Example 1

[0866] 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."

[0867] Conventional manga creation platforms lack efficient methods for users to easily automate the creation of manga through prompt information or publish it online. There are also challenges in calculating revenue for the manga and distributing it fairly to copyright holders and derivative creators. This makes it difficult for creators to freely pursue their creative activities and earn revenue.

[0868] 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.

[0869] In this invention, the server includes a generation means for automatically generating manga based on prompt information specified by the user, a publishing means for publishing the generated manga, a revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, a revenue distribution means for distributing revenue to rights holders and derivative creators, and a permission setting means for the user to set permissions for derivative works for a work. This allows users to easily generate and publish manga and enables revenue to be distributed fairly.

[0870] "User" refers to a general user who uses the system to create, configure, and publish manga.

[0871] "Prompt information" is data entered by the user that includes information about the genre, theme, and characters of the manga.

[0872] "Generation means" refers to algorithms or technologies for automatically generating manga based on prompt information.

[0873] "Publication means" is a function that allows other users to view the created manga on an internet platform.

[0874] The "revenue calculation method" is a function that calculates revenue based on performance data such as the number of views and purchases of published manga.

[0875] "Revenue distribution means" is a function that distributes calculated revenue to rights holders and derivative creators.

[0876] The "permission setting means" is an interface that allows the user to set whether or not derivative works are permitted, and a function that records that information on the server.

[0877] "Derivative creation" is the act of creating a new work based on an existing manga, and requires permission from the original rights holder.

[0878] "Rights holder" refers to the original author of the manga or the person or organization that holds the copyright.

[0879] A "derivative creator" is a creator who creates new manga based on an existing work with the permission of the original rights holder.

[0880] A "server" is a computer system that processes information received from users and performs functions such as generation, publication, revenue calculation and distribution.

[0881] A "database" is a system that allows the server to store data such as user settings information and generated manga.

[0882] An "interface" is a screen or operating means that allows a user to input prompt information and set permissions for derivative works.

[0883] As an embodiment of this invention, we provide a system in which a user inputs prompt information, a generative AI model is used to automatically generate a manga, the manga is published, and profits are distributed to rights holders and derivative creators. The specific process flow and the necessary hardware and software are described in detail below.

[0884] Permission settings for derivative works

[0885] Users access their own work management page on a device connected to the Internet. For example, they log in to a dedicated management page using a web browser. There, users can set whether or not derivative works are permitted. When the user sends this setting information from their device, it is received by the server and recorded in the database. A specific setting example is checking "Allow derivative works" on the management page for a work called "Hero's Adventure." The server used can be Apache, and the database server can be MySQL.

[0886] Manga Generation

[0887] The user inputs prompt information for the manga through the terminal interface. This interface allows the user to input the genre, theme, and characters of the manga. For example, prompt information such as "fantasy," "friendship," and "dragon" can be input. When the user completes the input and clicks the send button, the prompt information is sent from the terminal to the server.

[0888] The server receives and analyzes this prompt information. After analysis, it calls a generation AI module (such as OpenAI's GPT-4) to automatically generate the manga panels, illustrations, and dialogue based on the input information. The generated manga is temporarily stored on the server, and the generated results are then sent from the server to the user's device.

[0889] Examples of prompts include:

[0890] "The manga genre is fantasy, the theme is friendship, and the characters are dragons."

[0891] Publishing the generated manga

[0892] The user checks the generated manga and selects "Publish" on the interface. When the user selects "Publish," the server uploads the generated manga to a platform on the Internet, allowing other users to view the manga.

[0893] Revenue collection and distribution

[0894] Performance data such as the number of views and purchases for published manga is recorded by the server. Revenue is automatically calculated on the server based on this data. Revenue calculations are performed periodically, and after calculation, the server distributes the revenue to the rights holder and derivative creators. Distribution is based on pre-set derivative creation permission information.

[0895] A specific example of operation is when User C creates a derivative work based on User A's "Hero's Adventure" and the work becomes popular. In this case, the server records revenue information and distributes the revenue to User A (original rights holder) and User C (derivative creator).

[0896] As described above, this system allows users to efficiently generate and publish manga and appropriately distribute revenue. Smooth operation is achieved by properly coordinating the web server, database server, and generation AI module.

[0897] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0898] Step 1:

[0899] Users access their own work management page on a device connected to the Internet. Here, they set their permission settings for derivative works. Specifically, they log in to the management page using a web browser and check the box that says "Allow derivative works." This operation inputs permission settings from the user to the device, which receives the information and sends it to the server. The server records this setting information in a database and reflects the settings specified by the user.

[0900] Step 2:

[0901] The user inputs prompt information through the terminal interface. In this interface, the user inputs the genre, theme, and characters of the manga. Specifically, the user enters prompt information such as "fantasy," "friendship," and "dragon" into the input fields. The user's input (prompt information) is transmitted to the terminal and then sent from the terminal to the server. The server receives this prompt information.

[0902] Step 3:

[0903] The server analyzes the received prompt information. Specifically, it processes the data to pass the prompt information to the generation AI module. It then calls the generation AI module (e.g., OpenAI's GPT-4) and automatically generates a manga based on the prompt information. The generation AI module generates the panel layout, illustrations, and dialogue. The generated manga data is temporarily stored on the server. The server then sends the generation results to the user's device.

[0904] Step 4:

[0905] The user can view the manga they have created through their device. When the user selects "Publish," the device sends the instruction to the server. The server receives the instruction and uploads the manga to an internet platform, allowing other users to view it.

[0906] Step 5:

[0907] The server records performance data such as the number of views and purchases of the published manga. User activity data (number of views, number of purchases) is sent to the server, which automatically calculates revenue based on this data. Revenue calculations are performed at regular intervals, and the results are passed to the revenue distribution means.

[0908] Step 6:

[0909] As a revenue distribution method, the server distributes revenue to the rights holder and derivative creator. The derivative creation permission information is used during distribution. The final revenue amount is calculated and reflected in each account. Specifically, the revenue is distributed and reflected in the accounts of User A (original rights holder) and User C (derivative creator).

[0910] (Application example 1)

[0911] 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."

[0912] Conventional manga production systems require users to manually create panels, draw illustrations, and write dialogue, requiring a great deal of time and effort. This makes it difficult for creators to freely engage in creative activities, and there is a problem with incomplete revenue sharing between rights holders and derivative creators, especially in the case of derivative works. Furthermore, there are significant shortcomings in systems that allow users to easily create and monetize manga using devices such as smartphones.

[0913] 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.

[0914] In this invention, the server includes: a generating means for automatically generating a manga based on prompt information specified by a user; a publishing means for publishing the generated manga; a revenue calculating means for calculating revenue based on the number of views and purchases of the published manga; a revenue distribution means for distributing revenue to rights holders and derivative creators; a permission setting means for accepting permission settings for derivative works; and a means that operates on a terminal including a smartphone and includes a user interface for checking and publishing the generated manga. This allows users to easily input prompt information using a smartphone and generate and publish high-quality manga in a short amount of time, while ensuring transparency in revenue distribution and providing an environment in which creators can engage in creative activities more freely and efficiently.

[0915] "Prompt information" is information about the genre, theme, and characters that the user specifies for manga generation.

[0916] The "generation means" is a means for automatically generating a manga based on prompt information specified by the user.

[0917] "Means of publication" refers to the means by which the created manga is made public on an internet platform or the like.

[0918] The "revenue calculation means" is a means for calculating revenue based on performance data such as the number of views and purchases of the published manga.

[0919] "Revenue distribution means" refers to a means for distributing calculated revenue to rights holders and derivative creators.

[0920] The "permission setting means" is a means by which a user can set whether or not derivative works of his / her own work are permitted.

[0921] A "smartphone" is a type of mobile information terminal that combines computer functions with a mobile phone.

[0922] A "terminal" is a device that allows a user to access the system through an interface, and includes smartphones, personal computers, etc.

[0923] The "user interface" is an interface that allows a user to check and publish the created manga, and operates on a terminal.

[0924] "Fan-made works" are the act of creating new works based on existing manga works.

[0925] This invention is a system in which a user inputs prompt information from a device such as a smartphone, and based on this, a generative AI model automatically generates and publishes a manga. Furthermore, revenue is calculated based on the number of views and purchases of the generated manga, and the revenue is distributed to rights holders and derivative creators. Specific embodiments are described in detail below.

[0926] Permission settings for derivative works

[0927] The server accepts users' settings for allowing derivative works of their own works. Users access the work management page from their devices and select whether or not to allow derivative works. This setting information is sent from the user's device to the server, and the server records this information in a database.

[0928] Manga Generation

[0929] The user uses a dedicated interface to input prompt information about the genre, theme, and characters of the manga. For example, prompt information may include "genre: fantasy," "theme: friendship," and "characters: dragons." This information is sent from the user's terminal to the server.

[0930] The server analyzes the received prompt information and automatically generates the manga using a generative AI model. This generation process uses Python, a database (e.g., SQLite, PostgreSQL), and a generative AI model (e.g., OpenAI GPT). The generative AI model automatically generates panel layouts, illustrations, and dialogue based on the input prompt information. The generated manga is temporarily stored on the server and sent to the user's device.

[0931] Publishing the generated manga

[0932] The user can check the generated manga and choose whether to publish it. When the user presses the publish button, the server publishes the manga on an internet platform, making it available for other users to view.

[0933] Revenue collection and distribution

[0934] The server records performance data such as the number of views and purchases of the published manga and calculates revenue. Revenue calculations are performed at regular intervals and are calculated using a Python program. For example, if a created manga is viewed 1,000 times, revenue will be calculated as 5,000 yen. Revenue distribution is based on the set derivative work permission information and is reflected in the accounts of both the rights holder and the derivative creator.

[0935] Specific examples

[0936] User A sets permission for derivative works on the management page for a work called "Hero's Adventure," and this information is sent to the server and recorded in the database. Next, User B enters prompt information such as "fantasy," "friendship," and "dragon," and sends it to the server. The generative AI model automatically generates a manga based on this information and sends it to User B's device. User B checks the generated manga and presses the publish button to publish it on an online platform. After a certain period of time, the generated manga is viewed 1,000 times, and 5,000 yen is calculated as revenue. This revenue is distributed to User A (the original rights holder) and User C (the derivative creator) based on the derivative work permission information.

[0937] As described above, the present invention provides a method for easily generating, publishing, and sharing profits from manga using a smartphone or server.

[0938] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0939] Step 1:

[0940] The user accesses the system's work management page using a terminal and sets the permission settings for derivative works. The user opens the work management page and selects whether or not to allow derivative works. This sends the permission setting information from the user's terminal to the server. When this setting information reaches the server, the server records this information in a database.

[0941] Input: Permission information for derivative works set by the user on the device

[0942] Output: Permissions saved in the database

[0943] Step 2:

[0944] The user accesses the manga generation interface from a terminal and inputs prompt information. The user inputs information about the manga genre, theme, and characters. For example, the user might provide information such as "genre: fantasy," "theme: friendship," and "characters: dragons."

[0945] Input: Prompt information entered by the user at the terminal

[0946] Output: Prompt information sent to the server

[0947] Step 3:

[0948] The server analyzes the received prompt information and calls a generative AI model to automatically generate the manga. The generative AI model generates panel layouts, drawings, and dialogue based on the prompt information. This generation process uses a Python program and a generative AI model (e.g., OpenAI GPT).

[0949] Input: Prompt information sent to the server

[0950] Output: Manga data generated by the generative AI model

[0951] Step 4:

[0952] The server temporarily stores the generated manga data and sends it to the user's device, where the user can check the generated manga and decide whether to make it public.

[0953] Input: Manga data generated by a generative AI model

[0954] Output: Manga data sent to the user's device

[0955] Step 5:

[0956] When a user presses the publish button, the server publishes the manga on an internet platform, where it can be viewed by other users.

[0957] Input: Manga data selected for publication on the user's device

[0958] Output: Manga published on the Internet

[0959] Step 6:

[0960] The server records performance data such as the number of views and purchases of the published manga. The server periodically calculates revenue based on this data. A Python program is used to calculate revenue; for example, if a manga is viewed 1,000 times, 5,000 yen is calculated as revenue.

[0961] Input: Data on the number of views and purchases of published manga

[0962] Output: Calculated revenue data

[0963] Step 7:

[0964] The server distributes revenue to the rights holder and derivative creators using the revenue distribution method. The revenue distribution is based on the pre-set derivative creation permission information. The calculated revenue is reflected in the accounts of the rights holder and derivative creators.

[0965] Input: Calculated revenue data and derivative work permission information

[0966] Output: Revenue reflected in the rights holder's and derivative creator's accounts

[0967] The above are the specific processing steps when a user uses the manga generation system.

[0968] 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.

[0969] As an embodiment of the present invention, we provide a manga creation, publishing, and revenue sharing system that combines an emotion engine that recognizes user emotions. The specific processing flow is described in detail below.

[0970] Permission settings for derivative works

[0971] The user sets the permission for derivative works for the work

[0972] Users access their own work management page from their device and set whether or not derivative works are permitted. When the user sends this setting from their device to the server, the server records this setting information in a database.

[0973] Manga Generation

[0974] The user enters the prompt information

[0975] The user accesses the interface for creating manga on their device and inputs prompt information such as genre, theme, characters, etc. At this point, the emotion engine starts working and analyzes the user's emotional state.

[0976] Automatic manga generation using generative AI

[0977] The server analyzes the received prompt information and calls the generation AI module based on the emotional data provided by the emotion engine. The generation AI automatically generates panel layouts, drawings, and dialogue based on the prompt information, taking into account the emotional data. This generated manga data is temporarily stored on the server and sent to the user's device.

[0978] Emotion Engine Operation

[0979] User Emotion Recognition

[0980] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state, for example, recognizing emotions such as "happy" if the user is smiling and "confused" if the user is frowning.

[0981] Utilizing Emotional Data

[0982] Based on the emotional state determined by the emotion engine, the generation AI adjusts the theme and character dialogue to suit the user's current emotions. For example, if the emotion "happy" is recognized, the tone of the scenario will be made brighter.

[0983] Publishing the generated manga

[0984] Publishing the generated manga

[0985] If the user checks the generated manga and selects to make it public, the server will publish the manga on an internet platform, allowing other users to view it.

[0986] Revenue collection and distribution

[0987] Calculating revenue

[0988] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue based on this data. Revenue calculations are performed at regular intervals.

[0989] Revenue sharing

[0990] When a derivative work is created, revenue is distributed based on the pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and the derivative work, and reflects it in each of their accounts.

[0991] Specific Examples

[0992] Example of permission settings for derivative works

[0993] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[0994] Manga generation example

[0995] User B inputs "fantasy," "friendship," and "dragon" as prompts and sends them to the server. At this time, if User B's emotion is determined to be "fun," the generation AI generates a bright-toned manga based on this. The generated manga is sent to User B's device.

[0996] Revenue calculation and distribution example

[0997] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[0998] In this way, a system incorporating an emotion engine can provide a more personalized manga creation experience and create content that responds to the user's emotions. This invention will further promote technological innovation in the manga industry and provide an environment in which creators can create more freely.

[0999] The processing flow will be explained below.

[1000] Permission settings for derivative works

[1001] Step 1: User accesses the work management page

[1002] Users log in to their account from their device and access the work management page.

[1003] Step 2: User selects derivative work permission settings

[1004] Users can find the derivative work permission option on the detailed settings screen for each work and set it to "Allow" or "Not Allowed."

[1005] Step 3: The device sends the configuration data to the server

[1006] After the setting contents are determined, the user clicks the save button, and the terminal transmits this setting data to the server.

[1007] Step 4: The server records the configuration information in a database

[1008] The server analyzes the received configuration information and updates the database entry for the corresponding work.

[1009] Manga Generation

[1010] Step 1: User enters prompt information

[1011] The user accesses the interface for creating manga on their device and inputs prompt information such as genre, theme, characters, etc. At this point, the emotion engine begins to operate.

[1012] Step 2: The emotion engine analyzes the emotional state

[1013] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to analyze and determine the user's emotional state.

[1014] Step 3: The device sends prompt information and emotion data to the server.

[1015] Once all prompt information and analyzed emotion data has been entered, the terminal sends it to the server.

[1016] Step 4: The server invokes the generator

[1017] Based on the received prompt information and emotion data, the server calls the generation AI module and starts the manga generation process.

[1018] Step 5: AI automatically generates manga

[1019] The generative AI automatically generates panel layouts, drawings, and dialogue based on prompt information, taking into account emotional data.

[1020] Step 6: The server temporarily saves the generated manga and sends it to the user.

[1021] The server temporarily stores the generated manga data and sends it to the user's terminal.

[1022] Publishing the generated manga

[1023] Step 1: User chooses to publish

[1024] After checking the manga, the user can choose whether to make it public or not. If they choose to make it public, they click the corresponding button.

[1025] Step 2: The device sends a publishing request to the server

[1026] When the publish button is clicked, a publish request is sent from the terminal to the server.

[1027] Step 3: The server publishes the manga on the platform

[1028] After receiving the publication request, the server uploads the generated manga to a publishing platform on the Internet, where it can be viewed by other users.

[1029] Revenue collection and distribution

[1030] Step 1: The server records the number of views and purchases

[1031] The server periodically records various performance data (e.g., number of views, number of purchases) of the published manga.

[1032] Step 2: Server calculates revenue

[1033] Based on the recorded data, the server calculates the revenue for each manga.

[1034] Step 3: Check your derivative work revenue share

[1035] In the case of derivative works, the server checks the revenue share percentage based on the permission settings recorded in the database.

[1036] Step 4: Server shares revenue

[1037] The server distributes the revenue to the original rights holder and secondary creators and reflects it in each user's account.

[1038] Step 5: The server reports the revenue information

[1039] The server notifies each user that the revenue has been distributed, either through the terminal interface or by e-mail.

[1040] The above is the specific processing flow of the program.

[1041] Example 2

[1042] 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."

[1043] Conventional manga generation systems automatically generate manga according to set rules based on prompt information and themes entered by the user. However, they lack a personalized user experience because they are unable to take the user's emotional state into account. Furthermore, the process for setting permissions for derivative works and distributing revenue is often complicated, requiring cumbersome procedures for creators. Therefore, a system that considers the user's emotions during the content generation process and distributes revenue appropriately is needed.

[1044] 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.

[1045] In this invention, the server includes a generation means for automatically generating a manga based on prompt information specified by a user, a publishing means for publishing the generated manga, a revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, a revenue distribution means for distributing revenue to rights holders and derivative creators, a permission setting means for accepting permission settings for derivative works, an emotion analysis means for analyzing the emotional state of the user, and an emotion adjustment means for adjusting elements of the generated manga based on the emotional state. This enables content to be generated in accordance with the user's emotions, improving the personalized user experience and streamlining revenue distribution.

[1046] "Generation means" refers to a function that automatically generates a manga based on prompt information specified by the user.

[1047] "Publication means" refers to the function that allows the created manga to be published on an internet platform.

[1048] "Revenue calculation means" refers to a function that calculates revenue based on the number of views and purchases of published manga.

[1049] "Revenue distribution means" refers to the function of appropriately distributing calculated revenue to rights holders and derivative creators.

[1050] "Permission setting means" refers to a function that allows a user to set permission for derivative works.

[1051] "Emotion analysis means" refers to a function that analyzes a user's facial expressions, tone of voice, and text input to determine the user's emotional state.

[1052] The "emotion adjustment means" refers to a function that adjusts elements of the generated manga based on the emotional state determined by the emotion analysis means.

[1053] The present invention relates to a manga creation, publishing, and revenue sharing system that combines an emotion engine that recognizes user emotions. Specific embodiments for carrying out the present invention are described below.

[1054] Permission settings for derivative works

[1055] First, the user uses their device to access the work management page, where they can set whether or not derivative works are permitted. Once the user confirms this setting, the device sends the information to the server, which then records the received setting information in a database.

[1056] Examples:

[1057] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[1058] Manga Generation

[1059] The user accesses the manga generation interface on their device and inputs prompt information such as genre, theme, characters, etc. At this time, the emotion engine operates and analyzes the user's emotional state.

[1060] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state, for example, recognizing emotions such as "happy" if the user is smiling and "confused" if the user is frowning.

[1061] The server calls the generation AI module using the received prompt information and the emotion data provided by the emotion engine. The generation AI automatically generates panel layouts, drawings, and dialogue based on the prompt information, taking into account the emotion data. This generated manga data is temporarily stored on the server and sent to the user's device.

[1062] Examples:

[1063] User B enters "fantasy," "friendship," and "dragon" as prompts and sends them to the server. At this time, User B's emotion is determined to be "fun." Based on this, the generation AI generates a bright-toned manga, which is then sent to User B's device.

[1064] Publishing the generated manga

[1065] If the user checks the generated manga and selects to make it public, the server will publish the manga on an internet platform, allowing other users to view it.

[1066] Examples:

[1067] User B checks the generated manga and clicks the "Publish" button. The server uploads the manga to the publishing platform, where it becomes available for other users to view.

[1068] Revenue collection and distribution

[1069] The server records performance data such as the number of views and purchases of published manga, and calculates revenue based on this. Revenue calculations are performed at regular intervals. When derivative works are created, revenue is distributed based on pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and derivative creator, and reflects it in their respective accounts.

[1070] Examples:

[1071] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[1072] summary

[1073] In this way, a system incorporating an emotion engine can provide a personalized manga generation experience and create content that responds to the user's emotions. Using a generative AI model enables advanced automatic generation and an improved user experience. This invention will further promote technological innovation in the manga industry and provide an environment where creators can work more freely in their creative activities.

[1074] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1075] Step 1:

[1076] Permission settings for derivative works

[1077] The user accesses the work management page and sets whether or not derivative works are permitted. When the user confirms this setting, the device sends the setting information to the server. The server records the received setting information in a database.

[1078] Input: User's permission setting for derivative works (allowed / not allowed)

[1079] Data processing / calculation: The device acquires the user's setting information and sends it to the server via a communication protocol. The server stores the setting information in a database.

[1080] Output: Derivative work permission information recorded in the database

[1081] Specific behavior:

[1082] The user opens the "Hero's Adventure" administration page on their device and allows derivative works. After selecting "Allow derivative works," the setting information is sent to the server and recorded in the database.

[1083] Step 2:

[1084] Entering Prompt Information

[1085] The user accesses the manga generation interface and inputs prompt information such as genre, theme, characters, etc. Once the user confirms the data, the terminal sends the information to the server.

[1086] Input: User-prompted information (genre, theme, characters)

[1087] Data processing / calculation: The terminal obtains the prompt information and sends it to the server via a communication protocol.

[1088] Output: Prompt information sent to the server

[1089] Specific behavior:

[1090] The user sets the themes "Fantasy," "Friendship," and "Dragon," and transmits prompt information from the terminal.

[1091] Step 3:

[1092] User sentiment analysis

[1093] An emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state.

[1094] Input: User facial expressions, tone of voice, text input

[1095] Data processing / computation: Emotion analysis algorithms analyze facial expressions, tone of voice, and text data to determine emotional state.

[1096] Output: Emotional state (e.g., "happy," "confused")

[1097] Specific behavior:

[1098] The emotion engine analyzes the user's facial expressions and tone of voice through the camera and microphone and determines that the user is having fun.

[1099] Step 4:

[1100] Manga Generation

[1101] The server uses the received prompt information and emotional state data to call the generation AI module. Based on this, the generation AI automatically generates the panel layout, illustrations, and dialogue. The generated manga data is temporarily stored on the server and then sent to the user's device.

[1102] Input: prompt information, emotional state

[1103] Data processing / calculation: The server integrates the prompt information and emotional state data and calls the generation AI module. The generation AI generates a manga based on the settings.

[1104] Output: Generated manga data

[1105] Specific behavior:

[1106] The generation AI generates a manga based on the prompt information and emotional state data, which is then temporarily stored on the server and sent to the user's device.

[1107] Step 5:

[1108] Publishing the generated manga

[1109] If the user checks the generated manga and selects to make it public, the server makes the manga public on a platform on the Internet.

[1110] Input: Public selection by user

[1111] Data processing / calculation: The server receives the press of the publish button and uploads the manga data to the publishing platform.

[1112] Output: Published manga data

[1113] Specific behavior:

[1114] The user checks the generated manga and clicks the "Publish" button. The server uploads the manga to the publishing platform, where it can be viewed by other users.

[1115] Step 6:

[1116] Revenue collection and distribution

[1117] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue. Revenue is calculated at regular intervals, and the server distributes the revenue.

[1118] Input: Manga view count, purchase count, derivative work permission information

[1119] Data processing / calculation: The server records the number of views and purchases, calculates revenue using a revenue calculation algorithm, and calculates distribution based on the calculated revenue.

[1120] Output: Revenue sharing data

[1121] Specific behavior:

[1122] The server records the number of views and purchases of the published manga and calculates the revenue. The revenue is distributed to User A (original rights holder) and User C (derivative creator) and reflected in their respective accounts.

[1123] This will concretely implement a manga generation, publishing, and revenue sharing system that combines an emotion engine and generative AI model.

[1124] (Application example 2)

[1125] 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."

[1126] Conventional manga generation systems can automatically generate manga based on user input, but they do not support adjusting the manga content to reflect the user's emotions. Furthermore, detailed settings for publishing the generated manga and distributing revenues are not provided, taking into account derivative work permission information. This makes it difficult to provide content that reflects the user's emotions and distribute revenues fairly.

[1127] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes emotion recognition means for recognizing the user's emotion, generation means for automatically generating a manga based on prompt information specified by the user, publication means for publishing the generated manga, revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, revenue distribution means for distributing revenue to rights holders and derivative creators, and permission setting means for accepting permission settings for derivative works. This enables manga to be generated based on the user's emotion and also enables fair revenue distribution for the generated manga.

[1128] The "emotion recognition means" is a function that analyzes data such as the user's facial expressions and voice to determine the user's emotions.

[1129] The "generation means" is a function that automatically generates a manga based on prompt information specified by the user.

[1130] "Publication means" is a function that allows the automatically generated manga to be published on an internet platform or the like, making it viewable by other users.

[1131] The "revenue calculation means" is a function that calculates revenue based on the number of views and purchases of the published manga.

[1132] The "revenue distribution means" is a function that fairly distributes calculated revenue to rights holders and derivative creators.

[1133] The "permission setting means" is a function that allows a user to set whether or not derivative works are permitted for their own work.

[1134] "Prompt information" is information such as genre, theme, and characters that the user inputs to generate the manga.

[1135] The system for implementing this invention is capable of recognizing a user's emotions, creating and publishing manga based on those emotions, and distributing profits. This system is composed of a user terminal and a server.

[1136] emotion recognition means

[1137] The emotion recognition method uses the camera and microphone built into the smartphone or head-mounted display. This collects the user's facial expressions and voice data, and analyzes their emotions using dedicated emotion recognition software (e.g., dlib, librosa). The analyzed emotion data is sent to a server and used for other processing.

[1138] generation means

[1139] The generation method is a function that automatically generates manga based on prompt information specified by the user. The user inputs information about the genre, theme, and characters from their device. This information is sent to the server, which then calls a generative AI model (e.g., TensorFlow, PyTorch) along with emotion recognition data to generate the manga.

[1140] For example, if a user inputs the prompts "fantasy," "friendship," and "dragon," and the emotion is determined to be "fun," the generative AI model will create a fantasy work with a light tone.

[1141] Publication method

[1142] The generated manga is temporarily stored on the server and then sent to the user's device. The user can review it and choose to make it public. The publishing means allows the generated manga to be published on an internet platform where other users can view it.

[1143] Revenue calculation method

[1144] The server calculates revenue based on the number of views and purchases of the published manga. The revenue calculation means calculates revenue at regular intervals and records the results.

[1145] Revenue sharing method

[1146] The revenue distribution function distributes the revenue calculated by the server to the rights holder and the derivative creator. If a derivative creator exists, the revenue is distributed based on the pre-set permission information for the derivative work. This allows the user to obtain a fair profit.

[1147] Permission setting method

[1148] The permission setting means is a function that allows users to set whether derivative works are permitted or not for their own works. The user transmits the setting from the terminal, and the server records this information in the database.

[1149] As a specific example, consider a case where a user inputs "mystery," "tension," and "detective" as prompt information, and the system recognizes the user's emotion as "tension." Based on the emotion recognition data, the generative AI model automatically generates a tense mystery work and provides it to the user. If the user then chooses to make the manga public, it will be available for other users to view. Furthermore, revenue is calculated based on the number of views and purchases, and distributed to the rights holder and derivative creators.

[1150] Examples of prompts: "Mystery," "Suspense," "Detective"

[1151] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1152] Step 1:

[1153] The user uses a terminal to access the emotion recognition and input interface. The terminal uses a camera and microphone to collect the user's facial expressions and voice. The user also inputs prompt information such as the genre, theme, and characters of the manga to be generated. The input data is obtained as facial expression and voice data, as well as prompt information. This data is sent to the server. The inputs include facial expressions, voice, and prompt information. The output includes emotion recognition results and prompt information.

[1154] Step 2:

[1155] The server uses emotion recognition means to analyze the received facial expression and voice data and determine the user's emotion. Specifically, it uses a face recognition library (e.g., dlib) and a voice analysis library (e.g., librosa) to recognize the user's emotional state (e.g., happy, sad, nervous, etc.). The inputs are facial expression and voice data, and the output is emotion recognition data.

[1156] Step 3:

[1157] The server invokes the generation means based on the emotion recognition data and prompt information to automatically generate a manga. The generation means uses a generative AI model (e.g., TensorFlow, PyTorch) to automatically generate a manga with appropriate panel layouts, drawings, and dialogue based on the prompt information and emotion recognition data. The inputs are emotion recognition data and prompt information. The output is the generated manga data.

[1158] Step 4:

[1159] The generated manga is temporarily stored on the server and sent to the user's device. The user can then use the device to check the generated manga. The input is the generated manga data, and the output is display data for checking.

[1160] Step 5:

[1161] If a user decides to publish the manga they have verified, it is published on an internet platform using a publishing method. The published manga can be viewed by other users. The input is the verified manga data. The output is the published manga data.

[1162] Step 6:

[1163] The server collects data such as the number of views and purchases of the published manga, and calculates revenue using a revenue calculation means. The revenue calculation means calculates revenue based on performance data at regular intervals. The input is manga performance data, and the output is calculated revenue data.

[1164] Step 7:

[1165] Using the revenue distribution method, the server distributes the calculated revenue to the rights holder and the derivative creator, taking into account the derivative work permission information. The inputs are revenue data and derivative work permission information. The output is distribution data.

[1166] Through these steps, a system is realized in which manga generated based on emotions is provided to users and revenue is distributed fairly.

[1167] 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.

[1168] 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.

[1169] 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.

[1170] [Fourth embodiment]

[1171] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1172] 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.

[1173] 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).

[1174] 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.

[1175] 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.

[1176] 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).

[1177] 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.

[1178] 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.

[1179] 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.

[1180] 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.

[1181] 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.

[1182] 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.

[1183] 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."

[1184] As an embodiment of the present invention, we provide a system in which a user inputs prompt information, publishes the generated manga, and distributes profits to copyright holders and derivative creators. The specific processing flow is described in detail below.

[1185] Permission settings for derivative works

[1186] The user sets the permission for derivative works for the work

[1187] Users access their own work management page from their device and set whether or not derivative works are permitted. When the user sends this setting from their device to the server, the server records this setting information in a database.

[1188] Manga Generation

[1189] The user enters the prompt information

[1190] The user accesses an interface to input the genre, theme, and characters of the manga, and inputs the necessary information, which then sends prompt information from the user's terminal to the server.

[1191] Automatic manga generation using generative AI

[1192] The server analyzes the received prompt information and calls the generation AI module. This AI automatically generates the frame layout, illustrations, and dialogue based on the input information. The generated results are temporarily stored by the server and sent to the user's device.

[1193] Publishing the generated manga

[1194] Publishing the generated manga

[1195] If the user checks the generated manga and selects to make it public, the server publishes the manga on a platform on the Internet, allowing other users to view the manga.

[1196] Revenue collection and distribution

[1197] Calculating revenue

[1198] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue based on this data. Revenue calculations are performed at regular intervals.

[1199] Revenue sharing

[1200] When a derivative work is created, revenue is distributed based on the pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and the derivative work, and reflects it in each of their accounts.

[1201] Specific Examples

[1202] Example of permission settings for derivative works

[1203] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[1204] Manga generation example

[1205] User B enters "fantasy," "friendship," and "dragon" as prompts and sends them to the server. The generation AI automatically generates a manga based on this and sends it to User B's device.

[1206] Revenue calculation and distribution example

[1207] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[1208] In this way, by combining various means with various functions, manga production, publication, and revenue sharing can be smoothly carried out. This invention promotes technological innovation in the manga industry and provides an environment in which creators can engage in creative activities more freely.

[1209] The processing flow will be explained below.

[1210] Permission settings for derivative works

[1211] Step 1: User accesses the work management page

[1212] Users log in to their account from their device and access the work management page.

[1213] Step 2: User selects derivative work permission settings

[1214] Users can find the derivative work permission option on the detailed settings screen for each work and set it to "Allow" or "Not Allowed."

[1215] Step 3: The device sends the configuration data to the server

[1216] After the setting contents are determined, the user clicks the save button, and the terminal transmits this setting data to the server.

[1217] Step 4: The server records the configuration information in a database

[1218] The server analyzes the received configuration information and updates the database entry for the corresponding work.

[1219] Manga Generation

[1220] Step 1: User enters prompt information

[1221] The user accesses the interface for creating manga on the terminal and inputs prompt information such as genre, theme, and characters.

[1222] Step 2: The device sends the prompt information to the server

[1223] Once all the prompt information has been entered, the terminal sends it to the server.

[1224] Step 3: The server calls the generated AI

[1225] The server analyzes the received prompt information, calls the generation AI module, and starts the manga generation process.

[1226] Step 4: AI automatically generates manga

[1227] The generation AI automatically generates panel layouts, drawings, and dialogue based on the input prompt information.

[1228] Step 5: The server temporarily saves the generated manga and sends it to the user.

[1229] The server temporarily stores the generated manga data and sends it to the user's terminal.

[1230] Publishing the generated manga

[1231] Step 1: User chooses to publish

[1232] After checking the manga, the user can choose whether to make it public or not. If they choose to make it public, they click the corresponding button.

[1233] Step 2: The device sends a publishing request to the server

[1234] When the publish button is clicked, a publish request is sent from the terminal to the server.

[1235] Step 3: The server publishes the manga on the platform

[1236] After receiving the publication request, the server uploads the generated manga to a publishing platform on the Internet, where it can be viewed by other users.

[1237] Revenue collection and distribution

[1238] Step 1: The server records the number of views and purchases

[1239] The server periodically records various performance data (e.g., number of views, number of purchases) of the published manga.

[1240] Step 2: Server calculates revenue

[1241] Based on the recorded data, the server calculates the revenue for each manga.

[1242] Step 3: Check your derivative work revenue share

[1243] In the case of derivative works, the server checks the revenue share percentage based on the permission settings recorded in the database.

[1244] Step 4: Server shares revenue

[1245] The server distributes the revenue to the original rights holder and secondary creators and reflects it in each user's account.

[1246] Step 5: The server reports the revenue information

[1247] The server notifies each user that the revenue has been distributed, either through the terminal interface or by e-mail.

[1248] The above is the specific processing flow of the program.

[1249] Example 1

[1250] 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."

[1251] Conventional manga creation platforms lack efficient methods for users to easily automate the creation of manga through prompt information or publish it online. There are also challenges in calculating revenue for the manga and distributing it fairly to copyright holders and derivative creators. This makes it difficult for creators to freely pursue their creative activities and earn revenue.

[1252] 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.

[1253] In this invention, the server includes a generation means for automatically generating manga based on prompt information specified by the user, a publishing means for publishing the generated manga, a revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, a revenue distribution means for distributing revenue to rights holders and derivative creators, and a permission setting means for the user to set permissions for derivative works for a work. This allows users to easily generate and publish manga and enables revenue to be distributed fairly.

[1254] "User" refers to a general user who uses the system to create, configure, and publish manga.

[1255] "Prompt information" is data entered by the user that includes information about the genre, theme, and characters of the manga.

[1256] "Generation means" refers to algorithms or technologies for automatically generating manga based on prompt information.

[1257] "Publication means" is a function that allows other users to view the created manga on an internet platform.

[1258] The "revenue calculation method" is a function that calculates revenue based on performance data such as the number of views and purchases of published manga.

[1259] "Revenue distribution means" is a function that distributes calculated revenue to rights holders and derivative creators.

[1260] The "permission setting means" is an interface that allows the user to set whether or not derivative works are permitted, and a function that records that information on the server.

[1261] "Derivative creation" is the act of creating a new work based on an existing manga, and requires permission from the original rights holder.

[1262] "Rights holder" refers to the original author of the manga or the person or organization that holds the copyright.

[1263] A "derivative creator" is a creator who creates new manga based on an existing work with the permission of the original rights holder.

[1264] A "server" is a computer system that processes information received from users and performs functions such as generation, publication, revenue calculation and distribution.

[1265] A "database" is a system that allows the server to store data such as user settings information and generated manga.

[1266] An "interface" is a screen or operating means that allows a user to input prompt information and set permissions for derivative works.

[1267] As an embodiment of this invention, we provide a system in which a user inputs prompt information, a generative AI model is used to automatically generate a manga, the manga is published, and profits are distributed to rights holders and derivative creators. The specific process flow and the necessary hardware and software are described in detail below.

[1268] Permission settings for derivative works

[1269] Users access their own work management page on a device connected to the Internet. For example, they log in to a dedicated management page using a web browser. There, users can set whether or not derivative works are permitted. When the user sends this setting information from their device, it is received by the server and recorded in the database. A specific setting example is checking "Allow derivative works" on the management page for a work called "Hero's Adventure." The server used can be Apache, and the database server can be MySQL.

[1270] Manga Generation

[1271] The user inputs prompt information for the manga through the terminal interface. This interface allows the user to input the genre, theme, and characters of the manga. For example, prompt information such as "fantasy," "friendship," and "dragon" can be input. When the user completes the input and clicks the send button, the prompt information is sent from the terminal to the server.

[1272] The server receives and analyzes this prompt information. After analysis, it calls a generation AI module (such as OpenAI's GPT-4) to automatically generate the manga panels, illustrations, and dialogue based on the input information. The generated manga is temporarily stored on the server, and the generated results are then sent from the server to the user's device.

[1273] Examples of prompts include:

[1274] "The manga genre is fantasy, the theme is friendship, and the characters are dragons."

[1275] Publishing the generated manga

[1276] The user checks the generated manga and selects "Publish" on the interface. When the user selects "Publish," the server uploads the generated manga to a platform on the Internet, allowing other users to view the manga.

[1277] Revenue collection and distribution

[1278] Performance data such as the number of views and purchases for published manga is recorded by the server. Revenue is automatically calculated on the server based on this data. Revenue calculations are performed periodically, and after calculation, the server distributes the revenue to the rights holder and derivative creators. Distribution is based on pre-set derivative creation permission information.

[1279] A specific example of operation is when User C creates a derivative work based on User A's "Hero's Adventure" and the work becomes popular. In this case, the server records revenue information and distributes the revenue to User A (original rights holder) and User C (derivative creator).

[1280] As described above, this system allows users to efficiently generate and publish manga and appropriately distribute revenue. Smooth operation is achieved by properly coordinating the web server, database server, and generation AI module.

[1281] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1282] Step 1:

[1283] Users access their own work management page on a device connected to the Internet. Here, they set their permission settings for derivative works. Specifically, they log in to the management page using a web browser and check the box that says "Allow derivative works." This operation inputs permission settings from the user to the device, which receives the information and sends it to the server. The server records this setting information in a database and reflects the settings specified by the user.

[1284] Step 2:

[1285] The user inputs prompt information through the terminal interface. In this interface, the user inputs the genre, theme, and characters of the manga. Specifically, the user enters prompt information such as "fantasy," "friendship," and "dragon" into the input fields. The user's input (prompt information) is transmitted to the terminal and then sent from the terminal to the server. The server receives this prompt information.

[1286] Step 3:

[1287] The server analyzes the received prompt information. Specifically, it processes the data to pass the prompt information to the generation AI module. It then calls the generation AI module (e.g., OpenAI's GPT-4) and automatically generates a manga based on the prompt information. The generation AI module generates the panel layout, illustrations, and dialogue. The generated manga data is temporarily stored on the server. The server then sends the generation results to the user's device.

[1288] Step 4:

[1289] The user can view the manga they have created through their device. When the user selects "Publish," the device sends the instruction to the server. The server receives the instruction and uploads the manga to an internet platform, allowing other users to view it.

[1290] Step 5:

[1291] The server records performance data such as the number of views and purchases of the published manga. User activity data (number of views, number of purchases) is sent to the server, which automatically calculates revenue based on this data. Revenue calculations are performed at regular intervals, and the results are passed to the revenue distribution means.

[1292] Step 6:

[1293] As a revenue distribution method, the server distributes revenue to the rights holder and derivative creator. The derivative creation permission information is used during distribution. The final revenue amount is calculated and reflected in each account. Specifically, the revenue is distributed and reflected in the accounts of User A (original rights holder) and User C (derivative creator).

[1294] (Application example 1)

[1295] 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."

[1296] Conventional manga production systems require users to manually create panels, draw illustrations, and write dialogue, requiring a great deal of time and effort. This makes it difficult for creators to freely engage in creative activities, and there is a problem with incomplete revenue sharing between rights holders and derivative creators, especially in the case of derivative works. Furthermore, there are significant shortcomings in systems that allow users to easily create and monetize manga using devices such as smartphones.

[1297] 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.

[1298] In this invention, the server includes: a generating means for automatically generating a manga based on prompt information specified by a user; a publishing means for publishing the generated manga; a revenue calculating means for calculating revenue based on the number of views and purchases of the published manga; a revenue distribution means for distributing revenue to rights holders and derivative creators; a permission setting means for accepting permission settings for derivative works; and a means that operates on a terminal including a smartphone and includes a user interface for checking and publishing the generated manga. This allows users to easily input prompt information using a smartphone and generate and publish high-quality manga in a short amount of time, while ensuring transparency in revenue distribution and providing an environment in which creators can engage in creative activities more freely and efficiently.

[1299] "Prompt information" is information about the genre, theme, and characters that the user specifies for manga generation.

[1300] The "generation means" is a means for automatically generating a manga based on prompt information specified by the user.

[1301] "Means of publication" refers to the means by which the created manga is made public on an internet platform or the like.

[1302] The "revenue calculation means" is a means for calculating revenue based on performance data such as the number of views and purchases of the published manga.

[1303] "Revenue distribution means" refers to a means for distributing calculated revenue to rights holders and derivative creators.

[1304] The "permission setting means" is a means by which a user can set whether or not derivative works of his / her own work are permitted.

[1305] A "smartphone" is a type of mobile information terminal that combines computer functions with a mobile phone.

[1306] A "terminal" is a device that allows a user to access the system through an interface, and includes smartphones, personal computers, etc.

[1307] The "user interface" is an interface that allows a user to check and publish the created manga, and operates on a terminal.

[1308] "Fan-made works" are the act of creating new works based on existing manga works.

[1309] This invention is a system in which a user inputs prompt information from a device such as a smartphone, and based on this, a generative AI model automatically generates and publishes a manga. Furthermore, revenue is calculated based on the number of views and purchases of the generated manga, and the revenue is distributed to rights holders and derivative creators. Specific embodiments are described in detail below.

[1310] Permission settings for derivative works

[1311] The server accepts users' settings for allowing derivative works of their own works. Users access the work management page from their devices and select whether or not to allow derivative works. This setting information is sent from the user's device to the server, and the server records this information in a database.

[1312] Manga Generation

[1313] The user uses a dedicated interface to input prompt information about the genre, theme, and characters of the manga. For example, prompt information may include "genre: fantasy," "theme: friendship," and "characters: dragons." This information is sent from the user's terminal to the server.

[1314] The server analyzes the received prompt information and automatically generates the manga using a generative AI model. This generation process uses Python, a database (e.g., SQLite, PostgreSQL), and a generative AI model (e.g., OpenAI GPT). The generative AI model automatically generates panel layouts, illustrations, and dialogue based on the input prompt information. The generated manga is temporarily stored on the server and sent to the user's device.

[1315] Publishing the generated manga

[1316] The user can check the generated manga and choose whether to publish it. When the user presses the publish button, the server publishes the manga on an internet platform, making it available for other users to view.

[1317] Revenue collection and distribution

[1318] The server records performance data such as the number of views and purchases of the published manga and calculates revenue. Revenue calculations are performed at regular intervals and are calculated using a Python program. For example, if a created manga is viewed 1,000 times, revenue will be calculated as 5,000 yen. Revenue distribution is based on the set derivative work permission information and is reflected in the accounts of both the rights holder and the derivative creator.

[1319] Specific examples

[1320] User A sets permission for derivative works on the management page for a work called "Hero's Adventure," and this information is sent to the server and recorded in the database. Next, User B enters prompt information such as "fantasy," "friendship," and "dragon," and sends it to the server. The generative AI model automatically generates a manga based on this information and sends it to User B's device. User B checks the generated manga and presses the publish button to publish it on an online platform. After a certain period of time, the generated manga is viewed 1,000 times, and 5,000 yen is calculated as revenue. This revenue is distributed to User A (the original rights holder) and User C (the derivative creator) based on the derivative work permission information.

[1321] As described above, the present invention provides a method for easily generating, publishing, and sharing profits from manga using a smartphone or server.

[1322] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1323] Step 1:

[1324] The user accesses the system's work management page using a terminal and sets the permission settings for derivative works. The user opens the work management page and selects whether or not to allow derivative works. This sends the permission setting information from the user's terminal to the server. When this setting information reaches the server, the server records this information in a database.

[1325] Input: Permission information for derivative works set by the user on the device

[1326] Output: Permissions saved in the database

[1327] Step 2:

[1328] The user accesses the manga generation interface from a terminal and inputs prompt information. The user inputs information about the manga genre, theme, and characters. For example, the user might provide information such as "genre: fantasy," "theme: friendship," and "characters: dragons."

[1329] Input: Prompt information entered by the user at the terminal

[1330] Output: Prompt information sent to the server

[1331] Step 3:

[1332] The server analyzes the received prompt information and calls a generative AI model to automatically generate the manga. The generative AI model generates panel layouts, drawings, and dialogue based on the prompt information. This generation process uses a Python program and a generative AI model (e.g., OpenAI GPT).

[1333] Input: Prompt information sent to the server

[1334] Output: Manga data generated by the generative AI model

[1335] Step 4:

[1336] The server temporarily stores the generated manga data and sends it to the user's device, where the user can check the generated manga and decide whether to make it public.

[1337] Input: Manga data generated by a generative AI model

[1338] Output: Manga data sent to the user's device

[1339] Step 5:

[1340] When a user presses the publish button, the server publishes the manga on an internet platform, where it can be viewed by other users.

[1341] Input: Manga data selected for publication on the user's device

[1342] Output: Manga published on the Internet

[1343] Step 6:

[1344] The server records performance data such as the number of views and purchases of the published manga. The server periodically calculates revenue based on this data. A Python program is used to calculate revenue; for example, if a manga is viewed 1,000 times, 5,000 yen is calculated as revenue.

[1345] Input: Data on the number of views and purchases of published manga

[1346] Output: Calculated revenue data

[1347] Step 7:

[1348] The server distributes revenue to the rights holder and derivative creators using the revenue distribution method. The revenue distribution is based on the pre-set derivative creation permission information. The calculated revenue is reflected in the accounts of the rights holder and derivative creators.

[1349] Input: Calculated revenue data and derivative work permission information

[1350] Output: Revenue reflected in the rights holder's and derivative creator's accounts

[1351] The above are the specific processing steps when a user uses the manga generation system.

[1352] 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.

[1353] As an embodiment of the present invention, we provide a manga creation, publishing, and revenue sharing system that combines an emotion engine that recognizes user emotions. The specific processing flow is described in detail below.

[1354] Permission settings for derivative works

[1355] The user sets the permission for derivative works for the work

[1356] Users access their own work management page from their device and set whether or not derivative works are permitted. When the user sends this setting from their device to the server, the server records this setting information in a database.

[1357] Manga Generation

[1358] The user enters the prompt information

[1359] The user accesses the interface for creating manga on their device and inputs prompt information such as genre, theme, characters, etc. At this point, the emotion engine starts working and analyzes the user's emotional state.

[1360] Automatic manga generation using generative AI

[1361] The server analyzes the received prompt information and calls the generation AI module based on the emotional data provided by the emotion engine. The generation AI automatically generates panel layouts, drawings, and dialogue based on the prompt information, taking into account the emotional data. This generated manga data is temporarily stored on the server and sent to the user's device.

[1362] Emotion Engine Operation

[1363] User Emotion Recognition

[1364] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state, for example, recognizing emotions such as "happy" if the user is smiling and "confused" if the user is frowning.

[1365] Utilizing Emotional Data

[1366] Based on the emotional state determined by the emotion engine, the generation AI adjusts the theme and character dialogue to suit the user's current emotions. For example, if the emotion "happy" is recognized, the tone of the scenario will be made brighter.

[1367] Publishing the generated manga

[1368] Publishing the generated manga

[1369] If the user checks the generated manga and selects to make it public, the server will publish the manga on an internet platform, allowing other users to view it.

[1370] Revenue collection and distribution

[1371] Calculating revenue

[1372] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue based on this data. Revenue calculations are performed at regular intervals.

[1373] Revenue sharing

[1374] When a derivative work is created, revenue is distributed based on the pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and the derivative work, and reflects it in each of their accounts.

[1375] Specific Examples

[1376] Example of permission settings for derivative works

[1377] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[1378] Manga generation example

[1379] User B inputs "fantasy," "friendship," and "dragon" as prompts and sends them to the server. At this time, if User B's emotion is determined to be "fun," the generation AI generates a bright-toned manga based on this. The generated manga is sent to User B's device.

[1380] Revenue calculation and distribution example

[1381] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[1382] In this way, a system incorporating an emotion engine can provide a more personalized manga creation experience and create content that responds to the user's emotions. This invention will further promote technological innovation in the manga industry and provide an environment in which creators can create more freely.

[1383] The processing flow will be explained below.

[1384] Permission settings for derivative works

[1385] Step 1: User accesses the work management page

[1386] Users log in to their account from their device and access the work management page.

[1387] Step 2: User selects derivative work permission settings

[1388] Users can find the derivative work permission option on the detailed settings screen for each work and set it to "Allow" or "Not Allowed."

[1389] Step 3: The device sends the configuration data to the server

[1390] After the setting contents are determined, the user clicks the save button, and the terminal transmits this setting data to the server.

[1391] Step 4: The server records the configuration information in a database

[1392] The server analyzes the received configuration information and updates the database entry for the corresponding work.

[1393] Manga Generation

[1394] Step 1: User enters prompt information

[1395] The user accesses the interface for creating manga on their device and inputs prompt information such as genre, theme, characters, etc. At this point, the emotion engine begins to operate.

[1396] Step 2: The emotion engine analyzes the emotional state

[1397] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to analyze and determine the user's emotional state.

[1398] Step 3: The device sends prompt information and emotion data to the server.

[1399] Once all prompt information and analyzed emotion data has been entered, the terminal sends it to the server.

[1400] Step 4: The server invokes the generator

[1401] Based on the received prompt information and emotion data, the server calls the generation AI module and starts the manga generation process.

[1402] Step 5: AI automatically generates manga

[1403] The generative AI automatically generates panel layouts, drawings, and dialogue based on prompt information, taking into account emotional data.

[1404] Step 6: The server temporarily saves the generated manga and sends it to the user.

[1405] The server temporarily stores the generated manga data and sends it to the user's terminal.

[1406] Publishing the generated manga

[1407] Step 1: User chooses to publish

[1408] After checking the manga, the user can choose whether to make it public or not. If they choose to make it public, they click the corresponding button.

[1409] Step 2: The device sends a publishing request to the server

[1410] When the publish button is clicked, a publish request is sent from the terminal to the server.

[1411] Step 3: The server publishes the manga on the platform

[1412] After receiving the publication request, the server uploads the generated manga to a publishing platform on the Internet, where it can be viewed by other users.

[1413] Revenue collection and distribution

[1414] Step 1: The server records the number of views and purchases

[1415] The server periodically records various performance data (e.g., number of views, number of purchases) of the published manga.

[1416] Step 2: Server calculates revenue

[1417] Based on the recorded data, the server calculates the revenue for each manga.

[1418] Step 3: Check your derivative work revenue share

[1419] In the case of derivative works, the server checks the revenue share percentage based on the permission settings recorded in the database.

[1420] Step 4: Server shares revenue

[1421] The server distributes the revenue to the original rights holder and secondary creators and reflects it in each user's account.

[1422] Step 5: The server reports the revenue information

[1423] The server notifies each user that the revenue has been distributed, either through the terminal interface or by e-mail.

[1424] The above is the specific processing flow of the program.

[1425] Example 2

[1426] 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."

[1427] Conventional manga generation systems automatically generate manga according to set rules based on prompt information and themes entered by the user. However, they lack a personalized user experience because they are unable to take the user's emotional state into account. Furthermore, the process for setting permissions for derivative works and distributing revenue is often complicated, requiring cumbersome procedures for creators. Therefore, a system that considers the user's emotions during the content generation process and distributes revenue appropriately is needed.

[1428] 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.

[1429] In this invention, the server includes a generation means for automatically generating a manga based on prompt information specified by a user, a publishing means for publishing the generated manga, a revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, a revenue distribution means for distributing revenue to rights holders and derivative creators, a permission setting means for accepting permission settings for derivative works, an emotion analysis means for analyzing the emotional state of the user, and an emotion adjustment means for adjusting elements of the generated manga based on the emotional state. This enables content to be generated in accordance with the user's emotions, improving the personalized user experience and streamlining revenue distribution.

[1430] "Generation means" refers to a function that automatically generates a manga based on prompt information specified by the user.

[1431] "Publication means" refers to the function that allows the created manga to be published on an internet platform.

[1432] "Revenue calculation means" refers to a function that calculates revenue based on the number of views and purchases of published manga.

[1433] "Revenue distribution means" refers to the function of appropriately distributing calculated revenue to rights holders and derivative creators.

[1434] "Permission setting means" refers to a function that allows a user to set permission for derivative works.

[1435] "Emotion analysis means" refers to a function that analyzes a user's facial expressions, tone of voice, and text input to determine the user's emotional state.

[1436] The "emotion adjustment means" refers to a function that adjusts elements of the generated manga based on the emotional state determined by the emotion analysis means.

[1437] The present invention relates to a manga creation, publishing, and revenue sharing system that combines an emotion engine that recognizes user emotions. Specific embodiments for carrying out the present invention are described below.

[1438] Permission settings for derivative works

[1439] First, the user uses their device to access the work management page, where they can set whether or not derivative works are permitted. Once the user confirms this setting, the device sends the information to the server, which then records the received setting information in a database.

[1440] Examples:

[1441] User A sets permission for derivative works on the management page of the work "Hero's Adventure." This setting information is sent to the server and recorded in the database.

[1442] Manga Generation

[1443] The user accesses the manga generation interface on their device and inputs prompt information such as genre, theme, characters, etc. At this time, the emotion engine operates and analyzes the user's emotional state.

[1444] The emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state, for example, recognizing emotions such as "happy" if the user is smiling and "confused" if the user is frowning.

[1445] The server calls the generation AI module using the received prompt information and the emotion data provided by the emotion engine. The generation AI automatically generates panel layouts, drawings, and dialogue based on the prompt information, taking into account the emotion data. This generated manga data is temporarily stored on the server and sent to the user's device.

[1446] Examples:

[1447] User B enters "fantasy," "friendship," and "dragon" as prompts and sends them to the server. At this time, User B's emotion is determined to be "fun." Based on this, the generation AI generates a bright-toned manga, which is then sent to User B's device.

[1448] Publishing the generated manga

[1449] If the user checks the generated manga and selects to make it public, the server will publish the manga on an internet platform, allowing other users to view it.

[1450] Examples:

[1451] User B checks the generated manga and clicks the "Publish" button. The server uploads the manga to the publishing platform, where it becomes available for other users to view.

[1452] Revenue collection and distribution

[1453] The server records performance data such as the number of views and purchases of published manga, and calculates revenue based on this. Revenue calculations are performed at regular intervals. When derivative works are created, revenue is distributed based on pre-set derivative work permission information. The server distributes the calculated revenue to the original rights holder and derivative creator, and reflects it in their respective accounts.

[1454] Examples:

[1455] User C creates a derivative work based on User A's "Hero's Adventure," which becomes popular. The server records revenue information, calculates revenue, and distributes it. The revenue is distributed to User A (the original rights holder) and User C (the derivative creator).

[1456] summary

[1457] In this way, a system incorporating an emotion engine can provide a personalized manga generation experience and create content that responds to the user's emotions. Using a generative AI model enables advanced automatic generation and an improved user experience. This invention will further promote technological innovation in the manga industry and provide an environment where creators can work more freely in their creative activities.

[1458] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1459] Step 1:

[1460] Permission settings for derivative works

[1461] The user accesses the work management page and sets whether or not derivative works are permitted. When the user confirms this setting, the device sends the setting information to the server. The server records the received setting information in a database.

[1462] Input: User's permission setting for derivative works (allowed / not allowed)

[1463] Data processing / calculation: The device acquires the user's setting information and sends it to the server via a communication protocol. The server stores the setting information in a database.

[1464] Output: Derivative work permission information recorded in the database

[1465] Specific behavior:

[1466] The user opens the "Hero's Adventure" administration page on their device and allows derivative works. After selecting "Allow derivative works," the setting information is sent to the server and recorded in the database.

[1467] Step 2:

[1468] Entering Prompt Information

[1469] The user accesses the manga generation interface and inputs prompt information such as genre, theme, characters, etc. Once the user confirms the data, the terminal sends the information to the server.

[1470] Input: User-prompted information (genre, theme, characters)

[1471] Data processing / calculation: The terminal obtains the prompt information and sends it to the server via a communication protocol.

[1472] Output: Prompt information sent to the server

[1473] Specific behavior:

[1474] The user sets the themes "Fantasy," "Friendship," and "Dragon," and transmits prompt information from the terminal.

[1475] Step 3:

[1476] User sentiment analysis

[1477] An emotion engine analyzes the user's facial expressions, tone of voice, and text input to determine their emotional state.

[1478] Input: User facial expressions, tone of voice, text input

[1479] Data processing / computation: Emotion analysis algorithms analyze facial expressions, tone of voice, and text data to determine emotional state.

[1480] Output: Emotional state (e.g., "happy," "confused")

[1481] Specific behavior:

[1482] The emotion engine analyzes the user's facial expressions and tone of voice through the camera and microphone and determines that the user is having fun.

[1483] Step 4:

[1484] Manga Generation

[1485] The server uses the received prompt information and emotional state data to call the generation AI module. Based on this, the generation AI automatically generates the panel layout, illustrations, and dialogue. The generated manga data is temporarily stored on the server and then sent to the user's device.

[1486] Input: prompt information, emotional state

[1487] Data processing / calculation: The server integrates the prompt information and emotional state data and calls the generation AI module. The generation AI generates a manga based on the settings.

[1488] Output: Generated manga data

[1489] Specific behavior:

[1490] The generation AI generates a manga based on the prompt information and emotional state data, which is then temporarily stored on the server and sent to the user's device.

[1491] Step 5:

[1492] Publishing the generated manga

[1493] If the user checks the generated manga and selects to make it public, the server makes the manga public on a platform on the Internet.

[1494] Input: Public selection by user

[1495] Data processing / calculation: The server receives the press of the publish button and uploads the manga data to the publishing platform.

[1496] Output: Published manga data

[1497] Specific behavior:

[1498] The user checks the generated manga and clicks the "Publish" button. The server uploads the manga to the publishing platform, where it can be viewed by other users.

[1499] Step 6:

[1500] Revenue collection and distribution

[1501] The server records performance data such as the number of views and purchases of the published manga, and calculates revenue. Revenue is calculated at regular intervals, and the server distributes the revenue.

[1502] Input: Manga view count, purchase count, derivative work permission information

[1503] Data processing / calculation: The server records the number of views and purchases, calculates revenue using a revenue calculation algorithm, and calculates distribution based on the calculated revenue.

[1504] Output: Revenue sharing data

[1505] Specific behavior:

[1506] The server records the number of views and purchases of the published manga and calculates the revenue. The revenue is distributed to User A (original rights holder) and User C (derivative creator) and reflected in their respective accounts.

[1507] This will concretely implement a manga generation, publishing, and revenue sharing system that combines an emotion engine and generative AI model.

[1508] (Application example 2)

[1509] 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."

[1510] Conventional manga generation systems can automatically generate manga based on user input, but they do not support adjusting the manga content to reflect the user's emotions. Furthermore, detailed settings for publishing the generated manga and distributing revenues are not provided, taking into account derivative work permission information. This makes it difficult to provide content that reflects the user's emotions and distribute revenues fairly.

[1511] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes emotion recognition means for recognizing the user's emotion, generation means for automatically generating a manga based on prompt information specified by the user, publication means for publishing the generated manga, revenue calculation means for calculating revenue based on the number of views and purchases of the published manga, revenue distribution means for distributing revenue to rights holders and derivative creators, and permission setting means for accepting permission settings for derivative works. This enables manga to be generated based on the user's emotion and also enables fair revenue distribution for the generated manga.

[1512] The "emotion recognition means" is a function that analyzes data such as the user's facial expressions and voice to determine the user's emotions.

[1513] The "generation means" is a function that automatically generates a manga based on prompt information specified by the user.

[1514] "Publication means" is a function that allows the automatically generated manga to be published on an internet platform or the like, making it viewable by other users.

[1515] The "revenue calculation means" is a function that calculates revenue based on the number of views and purchases of the published manga.

[1516] The "revenue distribution means" is a function that fairly distributes calculated revenue to rights holders and derivative creators.

[1517] The "permission setting means" is a function that allows a user to set whether or not derivative works are permitted for their own work.

[1518] "Prompt information" is information such as genre, theme, and characters that the user inputs to generate the manga.

[1519] The system for implementing this invention is capable of recognizing a user's emotions, creating and publishing manga based on those emotions, and distributing profits. This system is composed of a user terminal and a server.

[1520] emotion recognition means

[1521] The emotion recognition method uses the camera and microphone built into the smartphone or head-mounted display. This collects the user's facial expressions and voice data, and analyzes their emotions using dedicated emotion recognition software (e.g., dlib, librosa). The analyzed emotion data is sent to a server and used for other processing.

[1522] generation means

[1523] The generation method is a function that automatically generates manga based on prompt information specified by the user. The user inputs information about the genre, theme, and characters from their device. This information is sent to the server, which then calls a generative AI model (e.g., TensorFlow, PyTorch) along with emotion recognition data to generate the manga.

[1524] For example, if a user inputs the prompts "fantasy," "friendship," and "dragon," and the emotion is determined to be "fun," the generative AI model will create a fantasy work with a light tone.

[1525] Publication method

[1526] The generated manga is temporarily stored on the server and then sent to the user's device. The user can review it and choose to make it public. The publishing means allows the generated manga to be published on an internet platform where other users can view it.

[1527] Revenue calculation method

[1528] The server calculates revenue based on the number of views and purchases of the published manga. The revenue calculation means calculates revenue at regular intervals and records the results.

[1529] Revenue sharing method

[1530] The revenue distribution function distributes the revenue calculated by the server to the rights holder and the derivative creator. If a derivative creator exists, the revenue is distributed based on the pre-set permission information for the derivative work. This allows the user to obtain a fair profit.

[1531] Permission setting method

[1532] The permission setting means is a function that allows users to set whether derivative works are permitted or not for their own works. The user transmits the setting from the terminal, and the server records this information in the database.

[1533] As a specific example, consider a case where a user inputs "mystery," "tension," and "detective" as prompt information, and the system recognizes the user's emotion as "tension." Based on the emotion recognition data, the generative AI model automatically generates a tense mystery work and provides it to the user. If the user then chooses to make the manga public, it will be available for other users to view. Furthermore, revenue is calculated based on the number of views and purchases, and distributed to the rights holder and derivative creators.

[1534] Examples of prompts: "Mystery," "Suspense," "Detective"

[1535] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1536] Step 1:

[1537] The user uses a terminal to access the emotion recognition and input interface. The terminal uses a camera and microphone to collect the user's facial expressions and voice. The user also inputs prompt information such as the genre, theme, and characters of the manga to be generated. The input data is obtained as facial expression and voice data, as well as prompt information. This data is sent to the server. The inputs include facial expressions, voice, and prompt information. The output includes emotion recognition results and prompt information.

[1538] Step 2:

[1539] The server uses emotion recognition means to analyze the received facial expression and voice data and determine the user's emotion. Specifically, it uses a face recognition library (e.g., dlib) and a voice analysis library (e.g., librosa) to recognize the user's emotional state (e.g., happy, sad, nervous, etc.). The inputs are facial expression and voice data, and the output is emotion recognition data.

[1540] Step 3:

[1541] The server invokes the generation means based on the emotion recognition data and prompt information to automatically generate a manga. The generation means uses a generative AI model (e.g., TensorFlow, PyTorch) to automatically generate a manga with appropriate panel layouts, drawings, and dialogue based on the prompt information and emotion recognition data. The inputs are emotion recognition data and prompt information. The output is the generated manga data.

[1542] Step 4:

[1543] The generated manga is temporarily stored on the server and sent to the user's device. The user can then use the device to check the generated manga. The input is the generated manga data, and the output is display data for checking.

[1544] Step 5:

[1545] If a user decides to publish the manga they have verified, it is published on an internet platform using a publishing method. The published manga can be viewed by other users. The input is the verified manga data. The output is the published manga data.

[1546] Step 6:

[1547] The server collects data such as the number of views and purchases of the published manga, and calculates revenue using a revenue calculation means. The revenue calculation means calculates revenue based on performance data at regular intervals. The input is manga performance data, and the output is calculated revenue data.

[1548] Step 7:

[1549] Using the revenue distribution method, the server distributes the calculated revenue to the rights holder and the derivative creator, taking into account the derivative work permission information. The inputs are revenue data and derivative work permission information. The output is distribution data.

[1550] Through these steps, a system is realized in which manga generated based on emotions is provided to users and revenue is distributed fairly.

[1551] 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.

[1552] 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.

[1553] 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.

[1554] 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.

[1555] 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.

[1556] 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.

[1557] 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).

[1558] 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.

[1559] 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."

[1560] 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.

[1561] 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).

[1562] 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.

[1563] 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.

[1564] 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.

[1565] 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.

[1566] 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.

[1567] 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.

[1568] 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.

[1569] 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.

[1570] 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.

[1571] 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.

[1572] The following is further disclosed regarding the above embodiment.

[1573] (Claim 1)

[1574] A generating means for automatically generating a manga based on prompt information specified by a user;

[1575] A publishing means for publishing the generated manga;

[1576] A revenue calculation means for calculating revenue based on the number of views and purchases of the published manga;

[1577] a revenue distribution method for distributing revenue to rights holders and derivative creators;

[1578] a permission setting means for accepting a permission setting for a derivative work;

[1579] A system including:

[1580] (Claim 2)

[1581] 2. The system according to claim 1, wherein the revenue distribution means distributes revenue based on the derivative work permission information set by the permission setting means.

[1582] (Claim 3)

[1583] 2. The system according to claim 1, wherein the generating means automatically generates manga panel layouts, drawings, and dialogue using information on genre, theme, and characters input by the user.

[1584] "Example 1"

[1585] (Claim 1)

[1586] A generating means for automatically generating a manga based on prompt information specified by a user;

[1587] A publishing means for publishing the generated manga;

[1588] A revenue calculation means for calculating revenue based on the number of views and purchases of the published manga;

[1589] a revenue distribution method for distributing revenue to rights holders and derivative creators;

[1590] a permission setting means for allowing a user to set permission for derivative works for a work;

[1591] A system including:

[1592] (Claim 2)

[1593] 2. The system according to claim 1, wherein the revenue distribution means distributes revenue based on the derivative work permission information set by the permission setting means.

[1594] (Claim 3)

[1595] 2. The system according to claim 1, wherein the generating means automatically generates manga panel layouts, drawings, and dialogue using information on genre, theme, and characters input by the user.

[1596] "Application Example 1"

[1597] (Claim 1)

[1598] A generating means for automatically generating a manga based on prompt information specified by a user;

[1599] A publishing means for publishing the generated manga;

[1600] A revenue calculation means for calculating revenue based on the number of views and purchases of the published manga;

[1601] a revenue distribution method for distributing revenue to rights holders and derivative creators;

[1602] a permission setting means for accepting a permission setting for a derivative work;

[1603] A means including a user interface that operates on a terminal including a smartphone and allows the user to check and publish the generated manga;

[1604] A system including:

[1605] (Claim 2)

[1606] 2. The system according to claim 1, wherein the revenue distribution means distributes revenue based on the derivative work permission information set by the permission setting means.

[1607] (Claim 3)

[1608] 2. The system according to claim 1, wherein the generating means automatically generates manga panel layouts, drawings, and dialogue using information on genre, theme, and characters input by the user.

[1609] "Example 2: Combining Emotion Engines"

[1610] (Claim 1)

[1611] A generating means for automatically generating a manga based on prompt information specified by a user;

[1612] A publishing means for publishing the generated manga;

[1613] A revenue calculation means for calculating revenue based on the number of views and purchases of the published manga;

[1614] a revenue distribution method for distributing revenue to rights holders and derivative creators;

[1615] a permission setting means for accepting a permission setting for a derivative work;

[1616] emotion analysis means for analyzing the emotional state of a user;

[1617] an emotion adjustment means for adjusting elements of the generated manga based on the emotional state;

[1618] A system including:

[1619] (Claim 2)

[1620] 2. The system according to claim 1, wherein the revenue distribution means distributes revenue based on the derivative work permission information set by the permission setting means.

[1621] (Claim 3)

[1622] 2. The system according to claim 1, wherein the generating means automatically generates manga panel layouts, drawings, and dialogue using information on genre, theme, and characters input by the user.

[1623] (Claim 4)

[1624] 10. The system of claim 1, wherein the emotion analysis means analyzes the user's facial expression, tone of voice, and text input to determine the user's emotional state.

[1625] (Claim 5)

[1626] 5. The system of claim 4, wherein the emotion adjustment means adjusts the tone and dialogue of the cartoon according to the emotional state.

[1627] "Application example 2 when combining emotion engines"

[1628] (Claim 1)

[1629] emotion recognition means for recognizing an emotion of a user;

[1630] A generating means for automatically generating a manga based on prompt information specified by a user;

[1631] A publishing means for publishing the generated manga;

[1632] A revenue calculation means for calculating revenue based on the number of views and purchases of the published manga;

[1633] a revenue distribution method for distributing revenue to rights holders and derivative creators;

[1634] a permission setting means for accepting a permission setting for a derivative work;

[1635] A system including:

[1636] (Claim 2)

[1637] 2. The system according to claim 1, wherein the revenue distribution means distributes revenue based on the derivative work permission information set by the permission setting means.

[1638] (Claim 3)

[1639] The system of claim 1, wherein the generation means automatically generates manga panels, drawings, and dialogue using genre, theme, and character information input by the user, and further adjusts the theme and dialogue based on the user's emotional state determined by the emotion recognition means. [Explanation of symbols]

[1640] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A generating means for automatically generating a manga based on prompt information specified by a user; A publishing means for publishing the generated manga; A revenue calculation means for calculating revenue based on the number of views and purchases of the published manga; a revenue distribution method for distributing revenue to rights holders and derivative creators; a permission setting means for accepting a permission setting for a derivative work; A system including:

2. 2. The system according to claim 1, wherein the profit distribution means distributes profits based on the derivative work permission information set by the permission setting means.

3. 2. The system according to claim 1, wherein the generating means automatically generates the manga panel layout, drawings, and dialogue using information on genre, theme, and characters input by the user.

Images