System

Abstract

A system is provided.SOLUTION: A system comprising: means for automatically generating a game utilizing generative artificial intelligence; means for inputting game requirements by a user; means for transmitting the input requirements to the generative artificial intelligence; means for previewing the generated game; means for inputting modifications by the user based on the preview results; means for transmitting the modified requirements back to the generative artificial intelligence; means for inputting publishing settings by the user; means for transferring the game to a publishing server and initiating distribution based on the settings; and means for aggregating and displaying revenue information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] The traditional game development process requires a significant amount of time and resources, with major challenges in schedule management and resource allocation. Furthermore, small and medium-sized enterprises and individuals face significant technical and economic hurdles when developing games. Furthermore, while the introduction of generative AI has expanded the possibilities for automation, there has been no platform that provides this in a way that is easily accessible to individuals. To address these challenges, the present invention aims to provide an environment that utilizes generative AI to enable individuals to easily create and distribute games. [Means for solving the problem]

[0005] The present invention provides the following means. First, it provides a means for automatically generating a game using a generation AI. This allows users to create high-quality games without specialized knowledge of game development. Next, it provides a means for a user to input game requirements and send those requirements to the generation AI. The generated game is previewed, and it provides a means for the user to check the results and input corrections. The corrected requirements are sent again to the generation AI, and the game is regenerated. It also provides a means for a user to input public settings, and it includes a means for transferring the game to a public server based on the settings and starting distribution. Furthermore, it provides a means for aggregating and displaying revenue information, allowing users to check and manage their revenue. These means create a system that allows individuals to easily create games, distribute them, and earn revenue.

[0006] "Generative AI" is a system that uses artificial intelligence technology to automatically generate specific data or content.

[0007] "Means for automatically generating a game" is a function that automatically creates game code and resources based on requirements entered by the user.

[0008] The "means for users to input game requirements" refers to an interface that allows users to input game genre, characters, storyline, graphics style, etc.

[0009] The "means for transmitting input requirements to the generating AI" is a system that transmits the requirement data input by the user to a server and transfers it to the generating AI.

[0010] The "means for previewing the generated game" is a function for displaying the game generated by the generating AI in a form that can be confirmed by the user.

[0011] The "means for the user to input corrections based on the preview results" is an interface that allows the user to input corrections to the previewed game.

[0012] The "means for sending the revised requirements to the generating AI again" is a system that sends the revised data entered by the user to the server and passes it again to the generating AI.

[0013] The "means for the user to input publishing settings" is an interface that allows the user to input the game's publishing platform, publication start date, advertising settings, pricing settings, and the like.

[0014] The "means for transferring the game to a public server based on the settings and starting distribution" is a system for transferring the game created in accordance with the public settings to a public server and starting distribution.

[0015] The "means for aggregating and displaying revenue information" is a function for aggregating advertising revenue and game sales amounts and displaying this information to the user. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

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

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

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

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0031] 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.

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

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] The present invention provides a system that utilizes generative artificial intelligence to enable even individuals to easily create, distribute, and monetize games. The following describes in detail the modes for carrying out the present invention.

[0038] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[0039] Next, the user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user can enter requirements such as the game genre, characters, storyline, and graphics style. These requirements can be easily entered using a web form or drag-and-drop interface.

[0040] When the user enters the requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI, which then automatically generates a game based on the received requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[0041] The server provides the user with a preview link of the generated game, and the user can click on the link to check the generated game. The user can preview various elements of the game and enter corrections as necessary. Corrections can be easily entered using a feedback form.

[0042] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the correction data and calls the generation AI again to regenerate the game. This allows the user to create a satisfactory game through multiple rounds of corrections and previews.

[0043] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0044] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[0045] As a concrete example, consider the case where User A is creating an action game. User A logs in and inputs the game genre as "action," the characters as "hero" and "enemy," the storyline as "adventure to save the world," and the graphics style as "2D pixel art." The generation AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally sets the publishing settings and distributes the game. Meanwhile, the server compiles User A's revenue information and displays it on a dashboard.

[0046] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize high-quality games.

[0047] The processing flow will be explained below.

[0048] Step 1:

[0049] The user launches a web browser on their device (PC, smartphone, etc.), accesses the platform's login page, enters their username and password, and clicks the "Login" button.

[0050] Step 2:

[0051] The server receives the user's authentication information and authenticates it against the database. If authentication is successful, it redirects the user to the dashboard page. If authentication fails, it displays an error message.

[0052] Step 3:

[0053] The user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user enters requirements such as the game genre (e.g., action), characters (e.g., hero and villain), storyline (e.g., an adventure to save the world), and graphics style (e.g., 2D pixel art).

[0054] Step 4:

[0055] The user confirms the game requirements entered and clicks the "Start Generation" button. The input data is sent from the device to the server.

[0056] Step 5:

[0057] The server checks the requirements data received from the user and forwards it to the AI ​​generator, which then automatically generates the game based on the requirements, including the game logic, graphics, music, and scene layout.

[0058] Step 6:

[0059] The generated game is temporarily stored on the server and a preview link is generated, which the server provides to the user.

[0060] Step 7:

[0061] The user clicks the preview link to check the generated game. The user can preview various elements of the game (character design, scene placement, etc.) and enter corrections in the feedback form if necessary.

[0062] Step 8:

[0063] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data, passes it to the generation AI again, and regenerates the game. The regenerated game is again provided to the user as a preview link.

[0064] Step 9:

[0065] When the user is finally satisfied with the game, they access the "Publish Settings" screen, where they enter the platform they want to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server.

[0066] Step 10:

[0067] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0068] Step 11:

[0069] Once games are available for distribution, they can be played by the general public. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides this information to users on a dashboard.

[0070] Step 12:

[0071] Users can access the dashboard to check their earnings information, and when their earnings reach a certain amount, they can withdraw their earnings.

[0072] Example 1

[0073] 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."

[0074] The creation of modern entertainment software requires advanced expertise and technology, making it difficult for individuals to easily create, distribute, and monetize high-quality software. Furthermore, the process of creating satisfactory entertainment software, which requires multiple revisions and previews, is complex and time-consuming. For these reasons, there is a need for a system that allows individuals to easily create entertainment software and quickly bring it to market.

[0075] 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.

[0076] In this invention, the server includes means for automatically generating entertainment software using a generating artificial intelligence, means for a user to input requirements for the entertainment software, means for transmitting the input requirements to the generating artificial intelligence, means for previewing the generated entertainment software, means for a user to input modifications based on the preview results, means for transmitting the modified requirements again to the generating artificial intelligence, means for a user to input a deployment arrangement, means for transferring the entertainment software to a deployment server based on the settings and starting distribution, and means for aggregating and displaying revenue information. This enables individuals to generate high-quality entertainment software without advanced specialized knowledge and to quickly and easily modify, preview, and publish it.

[0077] "Generative artificial intelligence" refers to algorithms or models for automatically generating entertainment software (e.g., games) based on user-entered requirements.

[0078] "Entertainment software" refers to programs and application software that provide entertainment and enjoyment to users.

[0079] "Requirements" are a set of conditions or specifications that a user must specify when generating entertainment software.

[0080] "Preview display" is a screen display function provided to the user to allow the user to check the contents of the generated entertainment software in advance.

[0081] "Deployment" refers to the settings and procedures for publishing the generated entertainment software on a specific platform and beginning distribution.

[0082] "Revenue Information" is a collection of revenue data derived from the distribution, sale, and advertising of entertainment software.

[0083] A means for entering "modifications" refers to the interface and method by which a user can make changes or improvements to the generated entertainment software.

[0084] A "development server" is a server system for hosting and distributing the generated entertainment software.

[0085] "Input means" refers to the interface or method by which a user provides specific information or settings to the system.

[0086] "Means for sending" refers to a mechanism for transferring information and settings entered by the user to the server or the generating AI.

[0087] The present invention provides a system that utilizes generative artificial intelligence to enable individuals to easily create, distribute, and monetize entertainment software (hereinafter referred to as games). The following describes in detail the modes for carrying out the present invention.

[0088] First, a user accesses the platform using a web browser from a device (such as a PC or smartphone). Examples of web browsers used include Google Chrome and Mozilla Firefox. The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[0089] Next, the user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user can enter requirements such as the game genre, characters, storyline, and graphics style. These requirements can be easily entered using a web form or drag-and-drop interface.

[0090] When a user enters their requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generative AI. An example of the generative AI model used is a model that utilizes natural language processing (NLP) technology. The generative AI model automatically generates a game based on the received requirements. This generation process includes game logic, graphics, music, scene placement, and more. The generated game is temporarily saved on the server, and a preview link is generated.

[0091] The server provides the user with a preview link of the generated game, and the user can click on the link to check the generated game. The user can preview various elements of the game and enter corrections as necessary. Corrections can be easily entered using a feedback form.

[0092] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the correction data and calls the generation AI again to regenerate the game. This allows the user to create a satisfactory game through multiple rounds of corrections and previews.

[0093] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on (e.g., smartphone app store or PC game platform), publication start date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0094] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[0095] As a concrete example, consider the case where User A is creating an action game. User A logs in and enters the game genre as "action," the characters as "hero" and "enemy," the storyline as "an adventure to save the world," and the graphics style as "2D pixel art." An example of a prompt might be, "Use the generative AI model to generate an action game based on the following requirements: Genre: Action, Characters: Hero and Enemy, Storyline: An adventure to save the world, Graphics: 2D pixel art." The generative AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally publishes the game. Meanwhile, the server aggregates User A's revenue information and displays it on a dashboard.

[0096] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize sophisticated entertainment software.

[0097] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0098] Step 1:

[0099] Users access the platform using a web browser from a device (such as a PC or smartphone). The user initiates access by entering the platform URL, which causes the device to display a login screen. Input: Web browser URL. Output: Login screen.

[0100] Step 2:

[0101] The user enters a username and password on the login screen and clicks the "Login" button. The device sends the entered authentication information to the server. Input: Username, password. Output: Sending authentication information.

[0102] Step 3:

[0103] The server checks the received username and password against the authentication information in its database. If authentication is successful, the server saves the user information in the session and generates a redirect URL to the dashboard page. If authentication fails, the server returns an error message. Input: username, password. Output: authentication result (success or failure), redirect URL, or error message.

[0104] Step 4:

[0105] The device will follow the redirect URL returned by the server to display the dashboard page, which will provide the user with an interface to access their account and perform various operations. Input: Redirect URL. Output: Dashboard page.

[0106] Step 5:

[0107] The user clicks the "Create a new game" button from the dashboard menu. This transitions the device to the new game creation screen. Input: Click action. Output: New game creation screen.

[0108] Step 6:

[0109] Using a web form or drag-and-drop interface, users enter requirements such as game genre, characters, storyline, graphics style, etc. Input: Game requirements. Output: Requirement input data.

[0110] Step 7:

[0111] When the user enters requirements and clicks the "Start Generation" button, the input data is sent from the terminal to the server. Input: Requirement input data. Output: Data sent to the server.

[0112] Step 8:

[0113] The server analyzes the received data and performs necessary preprocessing (e.g., formatting and validating input data). After preprocessing, the data is transferred to the generative AI model. Input: Requirement data. Output: Preprocessed data, transferred to the generative AI.

[0114] Step 9:

[0115] The generative AI model generates game content based on user requirements. The generation process includes game logic configuration, graphics rendering, music selection, scene placement, etc. Input: Preprocessed data. Output: Generated game data.

[0116] Step 10:

[0117] The server temporarily stores the generated game data and generates a preview link to provide to the user. Input: Generated game data. Output: Preview link.

[0118] Step 11:

[0119] User can click on the preview link to see the generated game. Input: Preview link. Output: Preview screen.

[0120] Step 12:

[0121] The user checks various elements of the game and inputs corrections. The corrections are entered into a feedback form. Input: Correction data. Output: Correction feedback form.

[0122] Step 13:

[0123] When the user clicks the "Apply corrections" button, the corrected data is sent to the server again. Input: Corrected data. Output: Send corrected data to the server.

[0124] Step 14:

[0125] The server analyzes the received correction data and calls the generation AI model again to regenerate the game. Input: Correction data. Output: Regenerated game data.

[0126] Step 15:

[0127] The server provides the user with a new preview link for the regenerated game. Input: Regenerated game data. Output: New preview link.

[0128] Step 16:

[0129] The user accesses the "Publication Settings" screen and enters the platform to publish on, publication start date, advertising settings, pricing settings, etc. These settings are saved on the server. Input: Publication setting data. Output: Saved publication settings.

[0130] Step 17:

[0131] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and starts distributing the game based on the settings. Input: Publishing setting data. Output: Transfer of game files and start of distribution.

[0132] Step 18:

[0133] The server aggregates game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Input: Play data, revenue data. Output: Aggregation and display of revenue data.

[0134] Step 19:

[0135] When a user reaches a certain level of earnings, they can withdraw funds from the dashboard. The server accepts the withdrawal request and transfers funds to the financial institution. Input: Withdrawal request data. Output: Transfer procedure.

[0136] (Application example 1)

[0137] 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."

[0138] Conventional game creation systems require specialized knowledge and skills, making it difficult for individuals to easily create, distribute, and monetize games. Furthermore, the process of previewing and modifying created games is complicated, and user-friendly interfaces are lacking. The present invention aims to solve these problems by providing a system that allows individuals to easily create, distribute, and effectively monetize high-quality games.

[0139] 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.

[0140] In this invention, the server includes means for automatically generating a game using a generating AI, means for a user to input game requirements, means for transmitting the input requirements to the generating AI, means for previewing the generated game, means for a user to input modifications based on the preview results, means for transmitting the modified requirements again to the generating AI, means for a user to input publication settings, means for transferring the game to a publication server and starting distribution based on the settings, means for aggregating and displaying revenue information, means for providing a smartphone application as a content distribution service, means for receiving and confirming user authentication information, and means for managing revenue information of published games in real time. This enables users to easily generate, distribute, and monetize games without specialized knowledge.

[0141] "Generative AI" refers to AI technology that automatically generates games based on requirements entered by the user.

[0142] "Game Requirements" refers to the various specifications and conditions necessary to generate a game, such as the game genre, characters, storyline, and graphics style.

[0143] "Public Server" refers to a server used on the Internet to provide generated games to players.

[0144] "Revenue information" refers to economic data obtained from games, such as generated game play data, advertising revenue, and game sales.

[0145] "Content distribution service" refers to a service that provides various digital contents to users via the Internet.

[0146] "Smartphone application" refers to software developed for the purpose of running on a smartphone.

[0147] "User Credentials" means information used to identify and authenticate a user, such as a username and password.

[0148] "Real-time management means" refers to technologies and methods that instantly process current situations and data and provide users with the latest information.

[0149] This invention provides a system that allows individuals to easily create, distribute, and monetize games using generative AI models. Below, we will explain how to specifically implement this invention.

[0150] First, users use a smartphone application. They log in to the application and input the game requirements (genre, characters, storyline, graphics style, etc.), which allows users to easily provide the necessary information for game creation.

[0151] The server receives the requirements entered by the user and sends them to the generative AI model. The generative AI model automatically generates a game based on these requirements. The generated game is temporarily saved on the server and a preview link is provided to the user. The generated game can be viewed by clicking this preview link.

[0152] Users can input corrections based on the preview of the game they have checked. The corrections are sent back to the server, which then sends them to the generative AI model to regenerate the game. This allows users to repeatedly make corrections and previews until they are satisfied with the game.

[0153] Once the game is complete, the user sets up the game for publication. They enter the publishing platform, release date, advertising settings, pricing, etc. Once these settings are complete, the server transfers the created game to the publishing server and begins distribution. Once the game is released, it can be played by users and general players.

[0154] In addition, the server manages revenue information for published games in real time and provides it to users. Users can check the revenue information within the application and can withdraw money when a certain amount is reached.

[0155] This system utilizes a lightweight web framework such as Flask, a generative AI model (e.g., OpenAI's GPT-4), and a database (SQLite or MySQL). The smartphone application runs on a combination of these technologies.

[0156] As a concrete example, if a user were to create a "horror game," they would send the following prompt to the generative AI model:

[0157] "The genre is horror, and the characters are 1. the protagonist, 2. ghosts, and 3. villagers. The storyline is an adventure to survive in a cursed village. It contains many scenes that will terrify the player with 2D graphics."

[0158] As described above, by implementing the present invention, a system can be realized that enables even individuals to easily create, distribute, and monetize high-quality games.

[0159] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0160] Step 1:

[0161] The user launches the smartphone application and accesses the login screen. They enter their username and password and send the authentication information to the server. The server compares the received username and password with the information in the database, and if authentication is successful, redirects the user to the dashboard screen.

[0162] Input: Username, Password

[0163] Data processing: Database collation

[0164] Output: Redirect to the dashboard screen

[0165] Step 2:

[0166] Users click the "Create a New Game" button on the dashboard to go to the new game creation screen, where they enter requirements such as the game genre, characters, storyline, and graphics style, and then send this to the server.

[0167] Input: Game genre, characters, storyline, graphics style

[0168] Data processing: Collecting user-input data

[0169] Output: Send requirements data

[0170] Step 3:

[0171] The server sends the received game requirements data to the generative AI model, which automatically generates a game based on the prompt and returns the results to the server.

[0172] Input: Game requirements data

[0173] Data processing: Game generation using generative AI

[0174] Output: Generated game data

[0175] Step 4:

[0176] The server temporarily stores the generated game data and generates a preview link, which is provided to the user, who can click the link to view the generated game.

[0177] Input: Generated game data

[0178] Data processing: Data saving, preview link generation

[0179] Output: Preview link

[0180] Step 5:

[0181] Users can check the game through the preview link and enter any corrections that need to be made in the feedback form, which is then sent to the server.

[0182] Input: Feedback on corrections

[0183] Data Processing: Collecting User Input

[0184] Output: Corrective feedback data

[0185] Step 6:

[0186] The server sends the corrective feedback data to the AI ​​model again, regenerates the game, saves the game data with the corrective changes reflected on the server, and provides a preview link to the user again.

[0187] Input: Corrective feedback data

[0188] Data processing: Regenerating games with generative AI

[0189] Output: Regenerated game data, preview link

[0190] Step 7:

[0191] Once a game that the user is satisfied with has been created, the user accesses the publishing settings screen and inputs the publishing platform, publication start date, advertising settings, pricing settings, etc., which are then sent to the server.

[0192] Input: Public setting data

[0193] Data Processing: Collecting User Input

[0194] Output: Sending public setting data

[0195] Step 8:

[0196] The server transfers the game to the public server based on the public setting data and starts distributing the game. Once the distribution of the game has started, it can be played by players.

[0197] Input: Public setting data

[0198] Data processing: Transfer of game data, distribution begins

[0199] Output: Published game

[0200] Step 9:

[0201] The server manages the play data and revenue information of published games in real time and displays it to users through a dashboard, where users can check their revenue information and make withdrawals as needed.

[0202] Input: Play data, revenue information

[0203] Data processing: Real-time management, dashboard display

[0204] Output: Display revenue information

[0205] 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.

[0206] The present invention provides a system that combines generative artificial intelligence and an emotion engine to enable even individuals to easily create, distribute, and monetize games. The following describes in detail the modes for carrying out the present invention.

[0207] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[0208] Next, the user clicks the "Create a New Game" button on the dashboard to open a new game creation screen. Here, the user enters requirements such as the game genre, characters, storyline, and graphics style. These requirements are supported by a web form, a drag-and-drop interface, and an emotion engine that analyzes the user's facial expressions and voice. The emotion engine recognizes the user's emotional state from their facial expressions and tone of voice and incorporates that data into the game requirements.

[0209] When the user enters the requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI, which then automatically generates a game based on the requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[0210] The server provides the user with a preview link for the generated game, which the user clicks to view. The user previews various elements of the game and inputs corrections as necessary. The emotion engine then evaluates the user's emotional state at the time of preview and automatically generates suggestions for game corrections based on the results. For example, if the user feels excited or frustrated at a particular scene in the game, the engine analyzes that emotional data and suggests changes to the difficulty level or scene reconstruction.

[0211] When the user enters the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the corrections and calls the generation AI again to regenerate the game. The regenerated game is again provided to the user as a preview link. This process is repeated until the user is satisfied.

[0212] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0213] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[0214] As a concrete example, consider the case where User A is creating an action game. User A logs in and inputs the game genre as "action," the characters as "hero" and "enemy," the storyline as "adventure to save the world," and the graphics style as "2D pixel art." The generation AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally sets the publishing settings and distributes the game. Meanwhile, the server compiles User A's revenue information and displays it on a dashboard.

[0215] In this way, the system of this invention provides an environment in which even individuals can easily create, distribute, and monetize high-quality games. Furthermore, the introduction of an emotion engine enables flexible game development and improvement according to the user's emotional state, further improving game quality and user experience.

[0216] The processing flow will be explained below.

[0217] Step 1:

[0218] The user launches a web browser on their device (PC, smartphone, etc.), accesses the platform's login page, enters their username and password, and clicks the "Login" button.

[0219] Step 2:

[0220] The server receives the user's authentication information and authenticates it against the database. If authentication is successful, it redirects the user to the dashboard page. If authentication fails, it displays an error message.

[0221] Step 3:

[0222] The user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where they input requirements such as the game genre (e.g., action), characters (e.g., hero and villain), storyline (e.g., an adventure to save the world), and graphics style (e.g., 2D pixel art).

[0223] Step 4:

[0224] The emotion engine analyzes the user's facial expressions and voice to obtain emotional data. For example, if a user uses a camera or microphone to input visual and audio information, the engine can determine the user's emotional state from their facial expressions and tone of voice.

[0225] Step 5:

[0226] The terminal transmits the game requirements input by the user and the emotion data obtained from the emotion engine to the server.

[0227] Step 6:

[0228] The server receives requirements and emotional data, which are then transferred to a generation AI, which then automatically generates the game. The generation AI then generates the game's logic, graphics, music, scene layout, etc. It is also possible to adjust the game's difficulty and storyline based on the emotional data.

[0229] Step 7:

[0230] The generated game is temporarily stored on the server and a preview link is generated, which the server provides to the user.

[0231] Step 8:

[0232] The user clicks the preview link to check the generated game. The user can preview various elements of the game (character design, scene placement, etc.) and enter any complaints or suggestions for improvement in the feedback form.

[0233] Step 9:

[0234] The emotion engine evaluates the user's emotional state in real time during preview and complements the user's feedback. For example, if the user is dissatisfied with a particular scene, the engine will analyze the user's emotional state and automatically suggest corresponding revisions.

[0235] Step 10:

[0236] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data and calls the generation AI again to regenerate the game. The regenerated game is again provided to the user as a preview link.

[0237] Step 11:

[0238] This process of revision and previewing is repeated until the user is finally satisfied.

[0239] Step 12:

[0240] Once the game is complete, the user accesses the "Release Settings" screen and enters the platform to release it on, the release start date, advertising settings, pricing settings, etc. These settings are saved on the server.

[0241] Step 13:

[0242] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0243] Step 14:

[0244] Once games are available for distribution, they can be played by the general public. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides this information to users on a dashboard.

[0245] Step 15:

[0246] Users can access the dashboard to check their earnings information, and when their earnings reach a certain amount, they can withdraw their earnings.

[0247] Example 2

[0248] 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."

[0249] Conventional game development environments require advanced technical knowledge and specialized software, making it difficult for individuals to easily create high-quality electronic games. Furthermore, the game development process was unable to incorporate user emotions, limiting the improvement of user experience. Furthermore, modifying and publishing games was complicated, making it difficult to grasp monetization in real time.

[0250] 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.

[0251] In this invention, the server includes: means for automatically generating electronic games using a generating AI; means for a user to input requirements for the electronic game; means for transmitting the input requirements to the generating AI; means for previewing the generated electronic game; means for the user to input modifications based on the preview results; means including an emotion engine that analyzes the user's facial expressions and tone of voice to evaluate their emotional state; means for suggesting modifications based on the emotion engine's evaluation results; means for transmitting the modified requirements back to the generating AI; means for the user to input publishing settings; means for transferring the electronic game to a publishing server based on the settings and starting distribution; and means for aggregating and displaying revenue information. This allows users to easily create, modify, publish, and monetize high-quality electronic games without specialized technical knowledge. Furthermore, the use of the emotion engine enables flexible game design and improvement based on the user's emotional state, further improving the user experience.

[0252] "Generative AI" is an AI technology for automatically generating games and simulations based on user-provided requirements.

[0253] "Electronic games" refers to games and interactive simulations that run on computers or other devices and are entertained by users.

[0254] "User" refers to any individual or entity that uses the System to create, modify, publish, and monetize games.

[0255] "Requirements" refers to the information entered by a user to specify the game's components (genre, characters, storyline, graphics style, etc.).

[0256] An "emotion engine" is a technology that analyzes a user's facial expressions and tone of voice to assess their emotional state and uses the results to improve interactive applications.

[0257] A "public server" is a server that hosts generated game files and makes them publicly available and available for distribution via the Internet.

[0258] "Revenue information" refers to data related to the economic benefits users obtain from the system, such as game play data, advertising revenue, and game sales.

[0259] "Preview" is a feature that allows users to check an early version of the generated game and identify corrections if necessary.

[0260] "Modification Suggestion" refers to a specific change proposal that the user makes to provide a better gaming experience based on the emotion engine's evaluation results.

[0261] The present invention provides a system that combines generative artificial intelligence and an emotion engine to enable even individuals to easily create, distribute, and monetize electronic games. The embodiments of the present invention will be described in detail below.

[0262] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page where they can perform various operations.

[0263] Next, the user clicks the "Create a New Game" button on the dashboard to open a new game creation screen. Here, the user enters requirements such as the electronic game genre, characters, storyline, and graphics style. These requirements are supported by a web form, a drag-and-drop interface, and an emotion engine that analyzes the user's facial expressions and voice. The emotion engine recognizes the user's emotional state from their facial expressions and tone of voice and incorporates that data into the game requirements.

[0264] For example, the requirements the user enters are:

[0265] Game genre: Action

[0266] Characters: Heroes and villains

[0267] Storyline: An adventure to save the world

[0268] Graphics Style: 2D pixel art

[0269] When the user enters their requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI model. The generation AI model automatically generates an electronic game based on the requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[0270] The server provides the user with a preview link for the generated game. The user clicks on the link to view the generated game. The user previews various elements of the game and inputs corrections as necessary. The emotion engine evaluates the user's emotional state at the time of preview and automatically generates suggestions for game corrections based on the results. For example, if the user feels excited or frustrated at a particular scene in the game, the engine analyzes that emotional data and suggests changes to the difficulty level or scene reconstruction.

[0271] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data and calls the generation AI again to regenerate the electronic game. The regenerated game is again provided to the user as a preview link. This process is repeated until the user is satisfied.

[0272] Once the electronic game is complete, the user accesses the "Publish Settings" screen and inputs the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game file to the publishing server and begins distributing the game based on the settings.

[0273] Once the distribution of electronic games begins, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can proceed with withdrawal.

[0274] Once the user confirms the earnings information and completes the withdrawal procedure, the creation, modification, publication, and monetization of electronic games using this system will be completed.

[0275] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize high-quality electronic games. Furthermore, by introducing an emotion engine, it becomes possible to flexibly build and improve games according to the user's emotional state, further improving the quality of games and the user experience.

[0276] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0277] Step 1:

[0278] The user starts a web browser on the terminal and accesses the system's login page.

[0279] Specific action: The user enters the system's URL (e.g., www.example-game-platform.com) into the browser's URL bar.

[0280] Input: The URL entered in the browser's URL bar

[0281] Output: Login page displayed

[0282] Step 2:

[0283] The user enters their username and password on the login screen.

[0284] Specific action: The user enters a username and password into the form and clicks the "Login" button.

[0285] Input: Username and Password

[0286] Output: Sending authentication information

[0287] Step 3:

[0288] The server checks the entered authentication information against a database and performs authentication.

[0289] What happens: The server compares the username and password with the information retrieved from the database, and if successful, starts a session and returns a cookie to the user.

[0290] Input: Username and password (authentication information)

[0291] Output: Authentication success or failure response

[0292] Step 4:

[0293] After successful authentication, the server redirects the user to the dashboard page.

[0294] Specific operation: The server sends a response including the URL of the dashboard page to the user terminal.

[0295] Input: Authentication success response

[0296] Output: Dashboard page displayed

[0297] Step 5:

[0298] The user clicks the "Create a new game" button on the dashboard to open the new game creation screen.

[0299] What happens: The user finds the "Create a new game" button on the dashboard and clicks it.

[0300] Input: Dashboard page

[0301] Output: Display of "Create a new game" page

[0302] Step 6:

[0303] The user enters various requirements for the game on the new game creation screen.

[0304] What happens: The user enters the game genre, characters, storyline, graphics style, etc. using text input fields or drop-down menus.

[0305] Input: Game requirements (genre, characters, storyline, graphics style)

[0306] Output: Send game requirements data

[0307] Step 7:

[0308] The terminal assists user input with an emotion engine.

[0309] Specific operation: The emotion engine captures the user's facial expressions and voice through the webcam and microphone and analyzes the data in real time.

[0310] Input: User's facial expression data, voice tone data

[0311] Output: Emotional state evaluation result

[0312] Step 8:

[0313] When the user clicks the "Start Generation" button, the input data is sent from the terminal to the server.

[0314] Specific operation: The browser sends the generated data to the server as a POST request.

[0315] Input: Game requirements data, emotional evaluation data

[0316] Output: Send data to the server

[0317] Step 9:

[0318] The server sends input data to the generative artificial intelligence (AI).

[0319] Specific operation: The server makes an API request to the generated AI model and sends a request body containing the requirement data.

[0320] Input: Game requirements data, emotional evaluation data

[0321] Output: Sending a request to the generation AI

[0322] Step 10:

[0323] A generative AI generates the game.

[0324] Specific operation: The generative AI automatically generates game logic, graphics, music, scene placement, etc., and returns the results to the server.

[0325] Input: Game requirements data, emotional evaluation data

[0326] Output: Generated game data

[0327] Step 11:

[0328] The server provides the user with a preview link of the generated game.

[0329] What happens: The server displays a preview link on the user's dashboard.

[0330] Input: Generated game data

[0331] Output: Show preview link

[0332] Step 12:

[0333] User clicks on the preview link to see the game.

[0334] What happens: The user clicks on the preview link and the browser opens the game preview screen.

[0335] Input: Preview link

[0336] Output: Show game preview

[0337] Step 13:

[0338] The emotion engine analyzes the user's facial expressions and tone of voice and suggests modifications to the game.

[0339] Specific operation: The emotion engine captures real-time emotion data while the user is playing the game and displays the analysis results on a dashboard.

[0340] Input: User's facial expression data, voice tone data

[0341] Output: Show suggested fixes

[0342] Step 14:

[0343] The user inputs the corrections and clicks the "Reflect Corrections" button.

[0344] Specific actions: The user enters the corrections in the dashboard and clicks the "Apply corrections" button.

[0345] Input: Correction data

[0346] Output: Send corrected data to the server

[0347] Step 15:

[0348] The server sends the correction data to the generation AI, which then regenerates the game.

[0349] Specific operation: The server sends an API request to the generation AI again and sends a request body containing the corrected data.

[0350] Input: Correction data

[0351] Output: Send request to generation AI

[0352] Step 16:

[0353] The server provides the user with a preview link of the regenerated game.

[0354] What happens: The server displays a new preview link in the dashboard.

[0355] Input: Regenerated game data

[0356] Output: Show new preview link

[0357] Step 17:

[0358] The user enters the required information on the "Publication Settings" screen.

[0359] Specific operations: The user enters the publishing platform, publication start date, advertising settings, pricing settings, etc., and clicks the "Publish" button.

[0360] Input: Public setting data

[0361] Output: Send public setting data to the server

[0362] Step 18:

[0363] The server saves the publishing settings and transfers the game files to the publishing server.

[0364] What happens: The server saves these settings in a database and uploads the game files to the corresponding platform.

[0365] Input: Public setting data, game files

[0366] Output: Publish game files

[0367] Step 19:

[0368] The server compiles play data and revenue data and provides it to the user.

[0369] Specific operation: The server displays play data, advertising revenue, game sales, etc. on a dashboard.

[0370] Input: play data, advertising revenue data, game sales data

[0371] Output: Aggregating and displaying revenue data

[0372] Step 20:

[0373] The user checks the earnings data and performs the withdrawal procedure.

[0374] Specific operation: The user checks the earnings data, and if the withdrawal conditions are met, clicks the "Withdraw Earnings" button to complete the procedure.

[0375] Input: Revenue Data

[0376] Output: Withdrawal procedure completed

[0377] (Application example 2)

[0378] 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."

[0379] Conventional game creation systems require specialized knowledge and skills for users to create games from scratch and then distribute and monetize them, making them difficult for average users. Furthermore, they lacked the ability to adjust the game to reflect the user's emotional state, making it difficult to optimize the user experience. There is a need to solve these problems and provide a system that allows anyone to easily create, distribute, and monetize high-quality games.

[0380] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0381] In this invention, the server includes means for verifying user authentication information, means for automatically generating a game using a generating AI, means for the user to input game requirements, means for recognizing the user's emotional state from facial expressions and voice using an emotion engine and reflecting that data in the requirements, means for transmitting the input requirements to the generating AI, means for previewing the generated game, means for the user to input corrections based on the preview results, means for transmitting the corrected requirements again to the generating AI, means for the user to input public settings, means for transferring the game to a public server based on the settings and starting distribution, and means for aggregating and displaying revenue information. This enables the automatic generation of high-quality games, optimization of games according to the user's emotional state, and easy distribution and monetization.

[0382] "User authentication information" is information used to verify a user's identity, such as a user's login name and password.

[0383] "Generative AI" is an AI technology that automatically generates games based on requirements entered by the user.

[0384] "Game requirements" are information necessary to create a game, such as the game genre, characters, storyline, and graphics style.

[0385] The "emotion engine" is a system that recognizes the user's emotional state from their facial expressions and voice, and analyzes and utilizes that data.

[0386] The "emotional state" is an emotional state such as excitement, surprise, satisfaction, or dissatisfaction that can be recognized from the user's facial expression and tone of voice.

[0387] "Preview display" is a function that displays a part or the whole of the generated game in advance, allowing the user to check the content.

[0388] "Release Settings" is a function that allows you to select and set the release platform, release start date, advertising settings, pricing, etc. of the generated game.

[0389] A "public server" is a server infrastructure for distributing generated games.

[0390] "Revenue information" refers to revenue data related to the generated game, such as game sales, advertising revenue, and play data.

[0391] This invention is a system for distributing and monetizing games that are automatically generated based on user input game requirements. This system operates as follows, using hardware and software such as a server, user terminals, generative AI models, and emotion engines.

[0392] The server includes means for verifying user authentication information, means for automatically generating a game using a generating artificial intelligence, means for the user to input game requirements, means for recognizing the emotional state of the user from facial expressions and voice using an emotion engine and reflecting that data in the requirements, means for transmitting the input requirements to the generating artificial intelligence, means for displaying a preview of the generated game, means for the user to input corrections based on the preview results, means for transmitting the corrected requirements again to the generating artificial intelligence, means for the user to input public settings, means for transferring the game to a public server based on the settings and starting distribution, and means for aggregating and displaying revenue information.

[0393] A description of what the program does

[0394] A user accesses the system using a terminal (e.g., a smartphone) and logs in with a username and password. The server verifies the user authentication information, and if the user successfully logs in, they are redirected to the dashboard page.

[0395] On the dashboard page, users click the "Create New Game" button to open the new game creation screen, where they input the genre, characters, storyline, graphics style, etc. At this time, the emotion engine analyzes the user's emotional state from their facial expressions and tone of voice, and reflects the results in the game requirements.

[0396] When the user enters the requirements and clicks the "Start Generation" button, the data is sent to the server. The server receives the data and transfers it to the generative AI model. The generative AI model automatically generates a game based on the input requirements and emotional data and returns the results to the server. The generated game is temporarily saved on the server, and a preview link is generated.

[0397] The user can click the preview link to check the generated game and input any necessary corrections. The emotion engine also works during this process, analyzing the user's emotions and suggesting corrections to the game. For example, if the user is dissatisfied with a particular scene, the engine will suggest readjustments to that scene based on the user's emotional data.

[0398] When the user enters the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server then sends this data to the generative AI model and regenerates the game. This allows the user to repeatedly preview and modify the game until they are satisfied.

[0399] Once the game is complete, the user accesses the "Publish Settings" page and enters the publishing platform, release date, advertising settings, pricing settings, etc. The server transfers the game files to the publishing server based on these settings and begins distributing the game. Once the game is distributed, it can be played by users and general players.

[0400] The server compiles revenue information such as game play data, advertising revenue, and game sales, and provides it to users on a dashboard. When a certain amount is reached, users can request a withdrawal.

[0401] Examples of specific examples and prompts

[0402] As a concrete example, consider a user creating a "Fantasy RPG." The user logs in and inputs the game genre as Fantasy RPG, the characters as heroes, wizards, and dragons, and the storyline as an adventure to save the kingdom. The emotion engine analyzes the user's emotional state and reflects it in the requirements.

[0403] Examples of prompts include:

[0404] Game genre: Fantasy RPG

[0405] Characters: Hero, Wizard, Dragon

[0406] Storyline: Adventure to save the kingdom

[0407] User facial expression: Smiling

[0408] User Voice Tone: Excited

[0409] In this way, by implementing the present invention, a system is provided that allows anyone to easily create, distribute, and monetize high-quality games.

[0410] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0411] Step 1:

[0412] The user accesses the system from a device (e.g., a smartphone) and enters their username and password. The server receives this and authenticates them by checking it against the database.

[0413] Input: Username, Password

[0414] Output: Authentication result (success / failure)

[0415] The server verifies the user credentials and redirects them to the dashboard page if authentication is successful.

[0416] Step 2:

[0417] The user clicks the "Create a New Game" button on the dashboard page. The new game creation screen appears, and the user inputs the game genre, characters, storyline, and graphics style. The emotion engine analyzes the user's camera footage and microphone audio to recognize the user's emotional state.

[0418] Input: Game requirements (genre, characters, storyline, graphics), user facial expressions and voice

[0419] Output: Emotion data

[0420] The terminal uses an emotion engine to recognize the user's emotional state from their facial expressions and voice, and sends the data to the server to be reflected in the game requirements.

[0421] Step 3:

[0422] After the user inputs the game requirements and emotion data, they click the "Start Generation" button. The input data is sent to the server, which then transfers it to the generative AI model.

[0423] Input: Game requirements, emotion data

[0424] Output: Auto-generated game data

[0425] The server sends data to a generative AI model, which then automatically generates a game based on the requirements and emotional data and returns the results to the server.

[0426] Step 4:

[0427] The generated game is temporarily saved on the server and a preview link is generated, which the user can click to check the generated game.

[0428] Input: Auto-generated game data

[0429] Output: Preview link

[0430] The server provides a preview link that the user clicks to view the game.

[0431] Step 5:

[0432] The user inputs corrections based on the preview results. The emotion engine runs again, analyzes the user's emotional state, and suggests modifications to the game. The input data is again sent to the server.

[0433] Input: corrections, user facial expressions and voice

[0434] Output: Correction suggestions, correction data

[0435] The device sends corrections and emotional data to the server, which then transfers the data to the generative AI model to regenerate the game.

[0436] Step 6:

[0437] After the user completes the edits and makes a final confirmation, they access the "Publishing Settings" page, where they enter the publishing platform, publishing start date, advertising settings, and pricing settings.

[0438] Input: Public setting information

[0439] Output: Ready to publish notification

[0440] The server receives the publishing setting information and prepares to transfer the game files to the publishing server.

[0441] Step 7:

[0442] When the user clicks the "Publish" button, the server transfers the game files to the publishing server and begins distribution.

[0443] Input: Public Directive

[0444] Output: Game launch

[0445] The server will begin streaming the game based on the settings, and the game will be made available to general players.

[0446] Step 8:

[0447] The server compiles revenue information such as game play data, advertising revenue, and game sales, and provides it to users on a dashboard.

[0448] Input: Gameplay data, advertising revenue data, sales data

[0449] Output: Revenue information

[0450] The server aggregates the revenue information and displays it for the user to view on a dashboard.

[0451] 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.

[0452] 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.

[0453] 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.

[0454] [Second embodiment]

[0455] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0456] 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.

[0457] 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).

[0458] 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.

[0459] 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.

[0460] 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).

[0461] 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.

[0462] 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.

[0463] 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.

[0464] 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.

[0465] 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.

[0466] 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."

[0467] The present invention provides a system that utilizes generative artificial intelligence to enable even individuals to easily create, distribute, and monetize games. The following describes in detail the modes for carrying out the present invention.

[0468] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[0469] Next, the user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user can enter requirements such as the game genre, characters, storyline, and graphics style. These requirements can be easily entered using a web form or drag-and-drop interface.

[0470] When the user enters the requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI, which then automatically generates a game based on the received requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[0471] The server provides the user with a preview link of the generated game, and the user can click on the link to check the generated game. The user can preview various elements of the game and enter corrections as necessary. Corrections can be easily entered using a feedback form.

[0472] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the correction data and calls the generation AI again to regenerate the game. This allows the user to create a satisfactory game through multiple rounds of corrections and previews.

[0473] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0474] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[0475] As a concrete example, consider the case where User A is creating an action game. User A logs in and inputs the game genre as "action," the characters as "hero" and "enemy," the storyline as "adventure to save the world," and the graphics style as "2D pixel art." The generation AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally sets the publishing settings and distributes the game. Meanwhile, the server compiles User A's revenue information and displays it on a dashboard.

[0476] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize high-quality games.

[0477] The processing flow will be explained below.

[0478] Step 1:

[0479] The user launches a web browser on their device (PC, smartphone, etc.), accesses the platform's login page, enters their username and password, and clicks the "Login" button.

[0480] Step 2:

[0481] The server receives the user's authentication information and authenticates it against the database. If authentication is successful, it redirects the user to the dashboard page. If authentication fails, it displays an error message.

[0482] Step 3:

[0483] The user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user enters requirements such as the game genre (e.g., action), characters (e.g., hero and villain), storyline (e.g., an adventure to save the world), and graphics style (e.g., 2D pixel art).

[0484] Step 4:

[0485] The user confirms the game requirements entered and clicks the "Start Generation" button. The input data is sent from the device to the server.

[0486] Step 5:

[0487] The server checks the requirements data received from the user and forwards it to the AI ​​generator, which then automatically generates the game based on the requirements, including the game logic, graphics, music, and scene layout.

[0488] Step 6:

[0489] The generated game is temporarily stored on the server and a preview link is generated, which the server provides to the user.

[0490] Step 7:

[0491] The user clicks the preview link to check the generated game. The user can preview various elements of the game (character design, scene placement, etc.) and enter corrections in the feedback form if necessary.

[0492] Step 8:

[0493] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data, passes it to the generation AI again, and regenerates the game. The regenerated game is again provided to the user as a preview link.

[0494] Step 9:

[0495] When the user is finally satisfied with the game, they access the "Publish Settings" screen, where they enter the platform they want to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server.

[0496] Step 10:

[0497] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0498] Step 11:

[0499] Once games are available for distribution, they can be played by the general public. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides this information to users on a dashboard.

[0500] Step 12:

[0501] Users can access the dashboard to check their earnings information, and when their earnings reach a certain amount, they can withdraw their earnings.

[0502] Example 1

[0503] 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."

[0504] The creation of modern entertainment software requires advanced expertise and technology, making it difficult for individuals to easily create, distribute, and monetize high-quality software. Furthermore, the process of creating satisfactory entertainment software, which requires multiple revisions and previews, is complex and time-consuming. For these reasons, there is a need for a system that allows individuals to easily create entertainment software and quickly bring it to market.

[0505] 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.

[0506] In this invention, the server includes means for automatically generating entertainment software using a generating artificial intelligence, means for a user to input requirements for the entertainment software, means for transmitting the input requirements to the generating artificial intelligence, means for previewing the generated entertainment software, means for a user to input modifications based on the preview results, means for transmitting the modified requirements again to the generating artificial intelligence, means for a user to input a deployment arrangement, means for transferring the entertainment software to a deployment server based on the settings and starting distribution, and means for aggregating and displaying revenue information. This enables individuals to generate high-quality entertainment software without advanced specialized knowledge and to quickly and easily modify, preview, and publish it.

[0507] "Generative artificial intelligence" refers to algorithms or models for automatically generating entertainment software (e.g., games) based on user-entered requirements.

[0508] "Entertainment software" refers to programs and application software that provide entertainment and enjoyment to users.

[0509] "Requirements" are a set of conditions or specifications that a user must specify when generating entertainment software.

[0510] "Preview display" is a screen display function provided to the user to allow the user to check the contents of the generated entertainment software in advance.

[0511] "Deployment" refers to the settings and procedures for publishing the generated entertainment software on a specific platform and beginning distribution.

[0512] "Revenue Information" is a collection of revenue data derived from the distribution, sale, and advertising of entertainment software.

[0513] A means for entering "modifications" refers to the interface and method by which a user can make changes or improvements to the generated entertainment software.

[0514] A "development server" is a server system for hosting and distributing the generated entertainment software.

[0515] "Input means" refers to the interface or method by which a user provides specific information or settings to the system.

[0516] "Means for sending" refers to a mechanism for transferring information and settings entered by the user to the server or the generating AI.

[0517] The present invention provides a system that utilizes generative artificial intelligence to enable individuals to easily create, distribute, and monetize entertainment software (hereinafter referred to as games). The following describes in detail the modes for carrying out the present invention.

[0518] First, a user accesses the platform using a web browser from a device (such as a PC or smartphone). Examples of web browsers used include Google Chrome and Mozilla Firefox. The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[0519] Next, the user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user can enter requirements such as the game genre, characters, storyline, and graphics style. These requirements can be easily entered using a web form or drag-and-drop interface.

[0520] When a user enters their requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generative AI. An example of the generative AI model used is a model that utilizes natural language processing (NLP) technology. The generative AI model automatically generates a game based on the received requirements. This generation process includes game logic, graphics, music, scene placement, and more. The generated game is temporarily saved on the server, and a preview link is generated.

[0521] The server provides the user with a preview link of the generated game, and the user can click on the link to check the generated game. The user can preview various elements of the game and enter corrections as necessary. Corrections can be easily entered using a feedback form.

[0522] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the correction data and calls the generation AI again to regenerate the game. This allows the user to create a satisfactory game through multiple rounds of corrections and previews.

[0523] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on (e.g., smartphone app store or PC game platform), publication start date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0524] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[0525] As a concrete example, consider the case where User A is creating an action game. User A logs in and enters the game genre as "action," the characters as "hero" and "enemy," the storyline as "an adventure to save the world," and the graphics style as "2D pixel art." An example of a prompt might be, "Use the generative AI model to generate an action game based on the following requirements: Genre: Action, Characters: Hero and Enemy, Storyline: An adventure to save the world, Graphics: 2D pixel art." The generative AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally publishes the game. Meanwhile, the server aggregates User A's revenue information and displays it on a dashboard.

[0526] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize sophisticated entertainment software.

[0527] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0528] Step 1:

[0529] Users access the platform using a web browser from a device (such as a PC or smartphone). The user initiates access by entering the platform URL, which causes the device to display a login screen. Input: Web browser URL. Output: Login screen.

[0530] Step 2:

[0531] The user enters a username and password on the login screen and clicks the "Login" button. The device sends the entered authentication information to the server. Input: Username, password. Output: Sending authentication information.

[0532] Step 3:

[0533] The server checks the received username and password against the authentication information in its database. If authentication is successful, the server saves the user information in the session and generates a redirect URL to the dashboard page. If authentication fails, the server returns an error message. Input: username, password. Output: authentication result (success or failure), redirect URL, or error message.

[0534] Step 4:

[0535] The device will follow the redirect URL returned by the server to display the dashboard page, which will provide the user with an interface to access their account and perform various operations. Input: Redirect URL. Output: Dashboard page.

[0536] Step 5:

[0537] The user clicks the "Create a new game" button from the dashboard menu. This transitions the device to the new game creation screen. Input: Click action. Output: New game creation screen.

[0538] Step 6:

[0539] Using a web form or drag-and-drop interface, users enter requirements such as game genre, characters, storyline, graphics style, etc. Input: Game requirements. Output: Requirement input data.

[0540] Step 7:

[0541] When the user enters requirements and clicks the "Start Generation" button, the input data is sent from the terminal to the server. Input: Requirement input data. Output: Data sent to the server.

[0542] Step 8:

[0543] The server analyzes the received data and performs necessary preprocessing (e.g., formatting and validating input data). After preprocessing, the data is transferred to the generative AI model. Input: Requirement data. Output: Preprocessed data, transferred to the generative AI.

[0544] Step 9:

[0545] The generative AI model generates game content based on user requirements. The generation process includes game logic configuration, graphics rendering, music selection, scene placement, etc. Input: Preprocessed data. Output: Generated game data.

[0546] Step 10:

[0547] The server temporarily stores the generated game data and generates a preview link to provide to the user. Input: Generated game data. Output: Preview link.

[0548] Step 11:

[0549] User can click on the preview link to see the generated game. Input: Preview link. Output: Preview screen.

[0550] Step 12:

[0551] The user checks various elements of the game and inputs corrections. The corrections are entered into a feedback form. Input: Correction data. Output: Correction feedback form.

[0552] Step 13:

[0553] When the user clicks the "Apply corrections" button, the corrected data is sent to the server again. Input: Corrected data. Output: Send corrected data to the server.

[0554] Step 14:

[0555] The server analyzes the received correction data and calls the generation AI model again to regenerate the game. Input: Correction data. Output: Regenerated game data.

[0556] Step 15:

[0557] The server provides the user with a new preview link for the regenerated game. Input: Regenerated game data. Output: New preview link.

[0558] Step 16:

[0559] The user accesses the "Publication Settings" screen and enters the platform to publish on, publication start date, advertising settings, pricing settings, etc. These settings are saved on the server. Input: Publication setting data. Output: Saved publication settings.

[0560] Step 17:

[0561] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and starts distributing the game based on the settings. Input: Publishing setting data. Output: Transfer of game files and start of distribution.

[0562] Step 18:

[0563] The server aggregates game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Input: Play data, revenue data. Output: Aggregation and display of revenue data.

[0564] Step 19:

[0565] When a user reaches a certain level of earnings, they can withdraw funds from the dashboard. The server accepts the withdrawal request and transfers funds to the financial institution. Input: Withdrawal request data. Output: Transfer procedure.

[0566] (Application example 1)

[0567] 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."

[0568] Conventional game creation systems require specialized knowledge and skills, making it difficult for individuals to easily create, distribute, and monetize games. Furthermore, the process of previewing and modifying created games is complicated, and user-friendly interfaces are lacking. The present invention aims to solve these problems by providing a system that allows individuals to easily create, distribute, and effectively monetize high-quality games.

[0569] 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.

[0570] In this invention, the server includes means for automatically generating a game using a generating AI, means for a user to input game requirements, means for transmitting the input requirements to the generating AI, means for previewing the generated game, means for a user to input modifications based on the preview results, means for transmitting the modified requirements again to the generating AI, means for a user to input publication settings, means for transferring the game to a publication server and starting distribution based on the settings, means for aggregating and displaying revenue information, means for providing a smartphone application as a content distribution service, means for receiving and confirming user authentication information, and means for managing revenue information of published games in real time. This enables users to easily generate, distribute, and monetize games without specialized knowledge.

[0571] "Generative AI" refers to AI technology that automatically generates games based on requirements entered by the user.

[0572] "Game Requirements" refers to the various specifications and conditions necessary to generate a game, such as the game genre, characters, storyline, and graphics style.

[0573] "Public Server" refers to a server used on the Internet to provide generated games to players.

[0574] "Revenue information" refers to economic data obtained from games, such as generated game play data, advertising revenue, and game sales.

[0575] "Content distribution service" refers to a service that provides various digital contents to users via the Internet.

[0576] "Smartphone application" refers to software developed for the purpose of running on a smartphone.

[0577] "User Credentials" means information used to identify and authenticate a user, such as a username and password.

[0578] "Real-time management means" refers to technologies and methods that instantly process current situations and data and provide users with the latest information.

[0579] This invention provides a system that allows individuals to easily create, distribute, and monetize games using generative AI models. Below, we will explain how to specifically implement this invention.

[0580] First, users use a smartphone application. They log in to the application and input the game requirements (genre, characters, storyline, graphics style, etc.), which allows users to easily provide the necessary information for game creation.

[0581] The server receives the requirements entered by the user and sends them to the generative AI model. The generative AI model automatically generates a game based on these requirements. The generated game is temporarily saved on the server and a preview link is provided to the user. The generated game can be viewed by clicking this preview link.

[0582] Users can input corrections based on the preview of the game they have checked. The corrections are sent back to the server, which then sends them to the generative AI model to regenerate the game. This allows users to repeatedly make corrections and previews until they are satisfied with the game.

[0583] Once the game is complete, the user sets up the game for publication. They enter the publishing platform, release date, advertising settings, pricing, etc. Once these settings are complete, the server transfers the created game to the publishing server and begins distribution. Once the game is released, it can be played by users and general players.

[0584] In addition, the server manages revenue information for published games in real time and provides it to users. Users can check the revenue information within the application and can withdraw money when a certain amount is reached.

[0585] This system utilizes a lightweight web framework such as Flask, a generative AI model (e.g., OpenAI's GPT-4), and a database (SQLite or MySQL). The smartphone application runs on a combination of these technologies.

[0586] As a concrete example, if a user were to create a "horror game," they would send the following prompt to the generative AI model:

[0587] "The genre is horror, and the characters are 1. the protagonist, 2. ghosts, and 3. villagers. The storyline is an adventure to survive in a cursed village. It contains many scenes that will terrify the player with 2D graphics."

[0588] As described above, by implementing the present invention, a system can be realized that enables even individuals to easily create, distribute, and monetize high-quality games.

[0589] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0590] Step 1:

[0591] The user launches the smartphone application and accesses the login screen. They enter their username and password and send the authentication information to the server. The server compares the received username and password with the information in the database, and if authentication is successful, redirects the user to the dashboard screen.

[0592] Input: Username, Password

[0593] Data processing: Database collation

[0594] Output: Redirect to the dashboard screen

[0595] Step 2:

[0596] Users click the "Create a New Game" button on the dashboard to go to the new game creation screen, where they enter requirements such as the game genre, characters, storyline, and graphics style, and then send this to the server.

[0597] Input: Game genre, characters, storyline, graphics style

[0598] Data processing: Collecting user-input data

[0599] Output: Send requirements data

[0600] Step 3:

[0601] The server sends the received game requirements data to the generative AI model, which automatically generates a game based on the prompt and returns the results to the server.

[0602] Input: Game requirements data

[0603] Data processing: Game generation using generative AI

[0604] Output: Generated game data

[0605] Step 4:

[0606] The server temporarily stores the generated game data and generates a preview link, which is provided to the user, who can click the link to view the generated game.

[0607] Input: Generated game data

[0608] Data processing: Data saving, preview link generation

[0609] Output: Preview link

[0610] Step 5:

[0611] Users can check the game through the preview link and enter any corrections that need to be made in the feedback form, which is then sent to the server.

[0612] Input: Feedback on corrections

[0613] Data Processing: Collecting User Input

[0614] Output: Corrective feedback data

[0615] Step 6:

[0616] The server sends the corrective feedback data to the AI ​​model again, regenerates the game, saves the game data with the corrective changes reflected on the server, and provides a preview link to the user again.

[0617] Input: Corrective feedback data

[0618] Data processing: Regenerating games with generative AI

[0619] Output: Regenerated game data, preview link

[0620] Step 7:

[0621] Once a game that the user is satisfied with has been created, the user accesses the publishing settings screen and inputs the publishing platform, publication start date, advertising settings, pricing settings, etc., which are then sent to the server.

[0622] Input: Public setting data

[0623] Data Processing: Collecting User Input

[0624] Output: Sending public setting data

[0625] Step 8:

[0626] The server transfers the game to the public server based on the public setting data and starts distributing the game. Once the distribution of the game has started, it can be played by players.

[0627] Input: Public setting data

[0628] Data processing: Transfer of game data, distribution begins

[0629] Output: Published game

[0630] Step 9:

[0631] The server manages the play data and revenue information of published games in real time and displays it to users through a dashboard, where users can check their revenue information and make withdrawals as needed.

[0632] Input: Play data, revenue information

[0633] Data processing: Real-time management, dashboard display

[0634] Output: Display revenue information

[0635] 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.

[0636] The present invention provides a system that combines generative artificial intelligence and an emotion engine to enable even individuals to easily create, distribute, and monetize games. The following describes in detail the modes for carrying out the present invention.

[0637] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[0638] Next, the user clicks the "Create a New Game" button on the dashboard to open a new game creation screen. Here, the user enters requirements such as the game genre, characters, storyline, and graphics style. These requirements are supported by a web form, a drag-and-drop interface, and an emotion engine that analyzes the user's facial expressions and voice. The emotion engine recognizes the user's emotional state from their facial expressions and tone of voice and incorporates that data into the game requirements.

[0639] When the user enters the requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI, which then automatically generates a game based on the requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[0640] The server provides the user with a preview link for the generated game, which the user clicks to view. The user previews various elements of the game and inputs corrections as necessary. The emotion engine then evaluates the user's emotional state at the time of preview and automatically generates suggestions for game corrections based on the results. For example, if the user feels excited or frustrated at a particular scene in the game, the engine analyzes that emotional data and suggests changes to the difficulty level or scene reconstruction.

[0641] When the user enters the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the corrections and calls the generation AI again to regenerate the game. The regenerated game is again provided to the user as a preview link. This process is repeated until the user is satisfied.

[0642] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0643] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[0644] As a concrete example, consider the case where User A is creating an action game. User A logs in and inputs the game genre as "action," the characters as "hero" and "enemy," the storyline as "adventure to save the world," and the graphics style as "2D pixel art." The generation AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally sets the publishing settings and distributes the game. Meanwhile, the server compiles User A's revenue information and displays it on a dashboard.

[0645] In this way, the system of this invention provides an environment in which even individuals can easily create, distribute, and monetize high-quality games. Furthermore, the introduction of an emotion engine enables flexible game development and improvement according to the user's emotional state, further improving game quality and user experience.

[0646] The processing flow will be explained below.

[0647] Step 1:

[0648] The user launches a web browser on their device (PC, smartphone, etc.), accesses the platform's login page, enters their username and password, and clicks the "Login" button.

[0649] Step 2:

[0650] The server receives the user's authentication information and authenticates it against the database. If authentication is successful, it redirects the user to the dashboard page. If authentication fails, it displays an error message.

[0651] Step 3:

[0652] The user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where they input requirements such as the game genre (e.g., action), characters (e.g., hero and villain), storyline (e.g., an adventure to save the world), and graphics style (e.g., 2D pixel art).

[0653] Step 4:

[0654] The emotion engine analyzes the user's facial expressions and voice to obtain emotional data. For example, if a user uses a camera or microphone to input visual and audio information, the engine can determine the user's emotional state from their facial expressions and tone of voice.

[0655] Step 5:

[0656] The terminal transmits the game requirements input by the user and the emotion data obtained from the emotion engine to the server.

[0657] Step 6:

[0658] The server receives requirements and emotional data, which are then transferred to a generation AI, which then automatically generates the game. The generation AI then generates the game's logic, graphics, music, scene layout, etc. It is also possible to adjust the game's difficulty and storyline based on the emotional data.

[0659] Step 7:

[0660] The generated game is temporarily stored on the server and a preview link is generated, which the server provides to the user.

[0661] Step 8:

[0662] The user clicks the preview link to check the generated game. The user can preview various elements of the game (character design, scene placement, etc.) and enter any complaints or suggestions for improvement in the feedback form.

[0663] Step 9:

[0664] The emotion engine evaluates the user's emotional state in real time during preview and complements the user's feedback. For example, if the user is dissatisfied with a particular scene, the engine will analyze the user's emotional state and automatically suggest corresponding revisions.

[0665] Step 10:

[0666] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data and calls the generation AI again to regenerate the game. The regenerated game is again provided to the user as a preview link.

[0667] Step 11:

[0668] This process of revision and previewing is repeated until the user is finally satisfied.

[0669] Step 12:

[0670] Once the game is complete, the user accesses the "Release Settings" screen and enters the platform to release it on, the release start date, advertising settings, pricing settings, etc. These settings are saved on the server.

[0671] Step 13:

[0672] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0673] Step 14:

[0674] Once games are available for distribution, they can be played by the general public. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides this information to users on a dashboard.

[0675] Step 15:

[0676] Users can access the dashboard to check their earnings information, and when their earnings reach a certain amount, they can withdraw their earnings.

[0677] Example 2

[0678] 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."

[0679] Conventional game development environments require advanced technical knowledge and specialized software, making it difficult for individuals to easily create high-quality electronic games. Furthermore, the game development process was unable to incorporate user emotions, limiting the improvement of user experience. Furthermore, modifying and publishing games was complicated, making it difficult to grasp monetization in real time.

[0680] 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.

[0681] In this invention, the server includes: means for automatically generating electronic games using a generating AI; means for a user to input requirements for the electronic game; means for transmitting the input requirements to the generating AI; means for previewing the generated electronic game; means for the user to input modifications based on the preview results; means including an emotion engine that analyzes the user's facial expressions and tone of voice to evaluate their emotional state; means for suggesting modifications based on the emotion engine's evaluation results; means for transmitting the modified requirements back to the generating AI; means for the user to input publishing settings; means for transferring the electronic game to a publishing server based on the settings and starting distribution; and means for aggregating and displaying revenue information. This allows users to easily create, modify, publish, and monetize high-quality electronic games without specialized technical knowledge. Furthermore, the use of the emotion engine enables flexible game design and improvement based on the user's emotional state, further improving the user experience.

[0682] "Generative AI" is an AI technology for automatically generating games and simulations based on user-provided requirements.

[0683] "Electronic games" refers to games and interactive simulations that run on computers or other devices and are entertained by users.

[0684] "User" refers to any individual or entity that uses the System to create, modify, publish, and monetize games.

[0685] "Requirements" refers to the information entered by a user to specify the game's components (genre, characters, storyline, graphics style, etc.).

[0686] An "emotion engine" is a technology that analyzes a user's facial expressions and tone of voice to assess their emotional state and uses the results to improve interactive applications.

[0687] A "public server" is a server that hosts generated game files and makes them publicly available and available for distribution via the Internet.

[0688] "Revenue information" refers to data related to the economic benefits users obtain from the system, such as game play data, advertising revenue, and game sales.

[0689] "Preview" is a feature that allows users to check an early version of the generated game and identify corrections if necessary.

[0690] "Modification Suggestion" refers to a specific change proposal that the user makes to provide a better gaming experience based on the emotion engine's evaluation results.

[0691] The present invention provides a system that combines generative artificial intelligence and an emotion engine to enable even individuals to easily create, distribute, and monetize electronic games. The embodiments of the present invention will be described in detail below.

[0692] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page where they can perform various operations.

[0693] Next, the user clicks the "Create a New Game" button on the dashboard to open a new game creation screen. Here, the user enters requirements such as the electronic game genre, characters, storyline, and graphics style. These requirements are supported by a web form, a drag-and-drop interface, and an emotion engine that analyzes the user's facial expressions and voice. The emotion engine recognizes the user's emotional state from their facial expressions and tone of voice and incorporates that data into the game requirements.

[0694] For example, the requirements the user enters are:

[0695] Game genre: Action

[0696] Characters: Heroes and villains

[0697] Storyline: An adventure to save the world

[0698] Graphics Style: 2D pixel art

[0699] When the user enters their requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI model. The generation AI model automatically generates an electronic game based on the requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[0700] The server provides the user with a preview link for the generated game. The user clicks on the link to view the generated game. The user previews various elements of the game and inputs corrections as necessary. The emotion engine evaluates the user's emotional state at the time of preview and automatically generates suggestions for game corrections based on the results. For example, if the user feels excited or frustrated at a particular scene in the game, the engine analyzes that emotional data and suggests changes to the difficulty level or scene reconstruction.

[0701] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data and calls the generation AI again to regenerate the electronic game. The regenerated game is again provided to the user as a preview link. This process is repeated until the user is satisfied.

[0702] Once the electronic game is complete, the user accesses the "Publish Settings" screen and inputs the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game file to the publishing server and begins distributing the game based on the settings.

[0703] Once the distribution of electronic games begins, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can proceed with withdrawal.

[0704] Once the user confirms the earnings information and completes the withdrawal procedure, the creation, modification, publication, and monetization of electronic games using this system will be completed.

[0705] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize high-quality electronic games. Furthermore, by introducing an emotion engine, it becomes possible to flexibly build and improve games according to the user's emotional state, further improving the quality of games and the user experience.

[0706] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0707] Step 1:

[0708] The user starts a web browser on the terminal and accesses the system's login page.

[0709] Specific action: The user enters the system's URL (e.g., www.example-game-platform.com) into the browser's URL bar.

[0710] Input: The URL entered in the browser's URL bar

[0711] Output: Login page displayed

[0712] Step 2:

[0713] The user enters their username and password on the login screen.

[0714] Specific action: The user enters a username and password into the form and clicks the "Login" button.

[0715] Input: Username and Password

[0716] Output: Sending authentication information

[0717] Step 3:

[0718] The server checks the entered authentication information against a database and performs authentication.

[0719] What happens: The server compares the username and password with the information retrieved from the database, and if successful, starts a session and returns a cookie to the user.

[0720] Input: Username and password (authentication information)

[0721] Output: Authentication success or failure response

[0722] Step 4:

[0723] After successful authentication, the server redirects the user to the dashboard page.

[0724] Specific operation: The server sends a response including the URL of the dashboard page to the user terminal.

[0725] Input: Authentication success response

[0726] Output: Dashboard page displayed

[0727] Step 5:

[0728] The user clicks the "Create a new game" button on the dashboard to open the new game creation screen.

[0729] What happens: The user finds the "Create a new game" button on the dashboard and clicks it.

[0730] Input: Dashboard page

[0731] Output: Display of "Create a new game" page

[0732] Step 6:

[0733] The user enters various requirements for the game on the new game creation screen.

[0734] What happens: The user enters the game genre, characters, storyline, graphics style, etc. using text input fields or drop-down menus.

[0735] Input: Game requirements (genre, characters, storyline, graphics style)

[0736] Output: Send game requirements data

[0737] Step 7:

[0738] The terminal assists user input with an emotion engine.

[0739] Specific operation: The emotion engine captures the user's facial expressions and voice through the webcam and microphone and analyzes the data in real time.

[0740] Input: User's facial expression data, voice tone data

[0741] Output: Emotional state evaluation result

[0742] Step 8:

[0743] When the user clicks the "Start Generation" button, the input data is sent from the terminal to the server.

[0744] Specific operation: The browser sends the generated data to the server as a POST request.

[0745] Input: Game requirements data, emotional evaluation data

[0746] Output: Send data to the server

[0747] Step 9:

[0748] The server sends input data to the generative artificial intelligence (AI).

[0749] Specific operation: The server makes an API request to the generated AI model and sends a request body containing the requirement data.

[0750] Input: Game requirements data, emotional evaluation data

[0751] Output: Sending a request to the generation AI

[0752] Step 10:

[0753] A generative AI generates the game.

[0754] Specific operation: The generative AI automatically generates game logic, graphics, music, scene placement, etc., and returns the results to the server.

[0755] Input: Game requirements data, emotional evaluation data

[0756] Output: Generated game data

[0757] Step 11:

[0758] The server provides the user with a preview link of the generated game.

[0759] What happens: The server displays a preview link on the user's dashboard.

[0760] Input: Generated game data

[0761] Output: Show preview link

[0762] Step 12:

[0763] User clicks on the preview link to see the game.

[0764] What happens: The user clicks on the preview link and the browser opens the game preview screen.

[0765] Input: Preview link

[0766] Output: Show game preview

[0767] Step 13:

[0768] The emotion engine analyzes the user's facial expressions and tone of voice and suggests modifications to the game.

[0769] Specific operation: The emotion engine captures real-time emotion data while the user is playing the game and displays the analysis results on a dashboard.

[0770] Input: User's facial expression data, voice tone data

[0771] Output: Show suggested fixes

[0772] Step 14:

[0773] The user inputs the corrections and clicks the "Reflect Corrections" button.

[0774] Specific actions: The user enters the corrections in the dashboard and clicks the "Apply corrections" button.

[0775] Input: Correction data

[0776] Output: Send corrected data to the server

[0777] Step 15:

[0778] The server sends the correction data to the generation AI, which then regenerates the game.

[0779] Specific operation: The server sends an API request to the generation AI again and sends a request body containing the corrected data.

[0780] Input: Correction data

[0781] Output: Send request to generation AI

[0782] Step 16:

[0783] The server provides the user with a preview link of the regenerated game.

[0784] What happens: The server displays a new preview link in the dashboard.

[0785] Input: Regenerated game data

[0786] Output: Show new preview link

[0787] Step 17:

[0788] The user enters the required information on the "Publication Settings" screen.

[0789] Specific operations: The user enters the publishing platform, publication start date, advertising settings, pricing settings, etc., and clicks the "Publish" button.

[0790] Input: Public setting data

[0791] Output: Send public setting data to the server

[0792] Step 18:

[0793] The server saves the publishing settings and transfers the game files to the publishing server.

[0794] What happens: The server saves these settings in a database and uploads the game files to the corresponding platform.

[0795] Input: Public setting data, game files

[0796] Output: Publish game files

[0797] Step 19:

[0798] The server compiles play data and revenue data and provides it to the user.

[0799] Specific operation: The server displays play data, advertising revenue, game sales, etc. on a dashboard.

[0800] Input: play data, advertising revenue data, game sales data

[0801] Output: Aggregating and displaying revenue data

[0802] Step 20:

[0803] The user checks the earnings data and performs the withdrawal procedure.

[0804] Specific operation: The user checks the earnings data, and if the withdrawal conditions are met, clicks the "Withdraw Earnings" button to complete the procedure.

[0805] Input: Revenue Data

[0806] Output: Withdrawal procedure completed

[0807] (Application example 2)

[0808] 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."

[0809] Conventional game creation systems require specialized knowledge and skills for users to create games from scratch and then distribute and monetize them, making them difficult for average users. Furthermore, they lacked the ability to adjust the game to reflect the user's emotional state, making it difficult to optimize the user experience. There is a need to solve these problems and provide a system that allows anyone to easily create, distribute, and monetize high-quality games.

[0810] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0811] In this invention, the server includes means for verifying user authentication information, means for automatically generating a game using a generating AI, means for the user to input game requirements, means for recognizing the user's emotional state from facial expressions and voice using an emotion engine and reflecting that data in the requirements, means for transmitting the input requirements to the generating AI, means for previewing the generated game, means for the user to input corrections based on the preview results, means for transmitting the corrected requirements again to the generating AI, means for the user to input public settings, means for transferring the game to a public server based on the settings and starting distribution, and means for aggregating and displaying revenue information. This enables the automatic generation of high-quality games, optimization of games according to the user's emotional state, and easy distribution and monetization.

[0812] "User authentication information" is information used to verify a user's identity, such as a user's login name and password.

[0813] "Generative AI" is an AI technology that automatically generates games based on requirements entered by the user.

[0814] "Game requirements" are information necessary to create a game, such as the game genre, characters, storyline, and graphics style.

[0815] The "emotion engine" is a system that recognizes the user's emotional state from their facial expressions and voice, and analyzes and utilizes that data.

[0816] The "emotional state" is an emotional state such as excitement, surprise, satisfaction, or dissatisfaction that can be recognized from the user's facial expression and tone of voice.

[0817] "Preview display" is a function that displays a part or the whole of the generated game in advance, allowing the user to check the content.

[0818] "Release Settings" is a function that allows you to select and set the release platform, release start date, advertising settings, pricing, etc. of the generated game.

[0819] A "public server" is a server infrastructure for distributing generated games.

[0820] "Revenue information" refers to revenue data related to the generated game, such as game sales, advertising revenue, and play data.

[0821] This invention is a system for distributing and monetizing games that are automatically generated based on user input game requirements. This system operates as follows, using hardware and software such as a server, user terminals, generative AI models, and emotion engines.

[0822] The server includes means for verifying user authentication information, means for automatically generating a game using a generating artificial intelligence, means for the user to input game requirements, means for recognizing the emotional state of the user from facial expressions and voice using an emotion engine and reflecting that data in the requirements, means for transmitting the input requirements to the generating artificial intelligence, means for displaying a preview of the generated game, means for the user to input corrections based on the preview results, means for transmitting the corrected requirements again to the generating artificial intelligence, means for the user to input public settings, means for transferring the game to a public server based on the settings and starting distribution, and means for aggregating and displaying revenue information.

[0823] A description of what the program does

[0824] A user accesses the system using a terminal (e.g., a smartphone) and logs in with a username and password. The server verifies the user authentication information, and if the user successfully logs in, they are redirected to the dashboard page.

[0825] On the dashboard page, users click the "Create New Game" button to open the new game creation screen, where they input the genre, characters, storyline, graphics style, etc. At this time, the emotion engine analyzes the user's emotional state from their facial expressions and tone of voice, and reflects the results in the game requirements.

[0826] When the user enters the requirements and clicks the "Start Generation" button, the data is sent to the server. The server receives the data and transfers it to the generative AI model. The generative AI model automatically generates a game based on the input requirements and emotional data and returns the results to the server. The generated game is temporarily saved on the server, and a preview link is generated.

[0827] The user can click the preview link to check the generated game and input any necessary corrections. The emotion engine also works during this process, analyzing the user's emotions and suggesting corrections to the game. For example, if the user is dissatisfied with a particular scene, the engine will suggest readjustments to that scene based on the user's emotional data.

[0828] When the user enters the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server then sends this data to the generative AI model and regenerates the game. This allows the user to repeatedly preview and modify the game until they are satisfied.

[0829] Once the game is complete, the user accesses the "Publish Settings" page and enters the publishing platform, release date, advertising settings, pricing settings, etc. The server transfers the game files to the publishing server based on these settings and begins distributing the game. Once the game is distributed, it can be played by users and general players.

[0830] The server compiles revenue information such as game play data, advertising revenue, and game sales, and provides it to users on a dashboard. When a certain amount is reached, users can request a withdrawal.

[0831] Examples of specific examples and prompts

[0832] As a concrete example, consider a user creating a "Fantasy RPG." The user logs in and inputs the game genre as Fantasy RPG, the characters as heroes, wizards, and dragons, and the storyline as an adventure to save the kingdom. The emotion engine analyzes the user's emotional state and reflects it in the requirements.

[0833] Examples of prompts include:

[0834] Game genre: Fantasy RPG

[0835] Characters: Hero, Wizard, Dragon

[0836] Storyline: Adventure to save the kingdom

[0837] User facial expression: Smiling

[0838] User Voice Tone: Excited

[0839] In this way, by implementing the present invention, a system is provided that allows anyone to easily create, distribute, and monetize high-quality games.

[0840] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0841] Step 1:

[0842] The user accesses the system from a device (e.g., a smartphone) and enters their username and password. The server receives this and authenticates them by checking it against the database.

[0843] Input: Username, Password

[0844] Output: Authentication result (success / failure)

[0845] The server verifies the user credentials and redirects them to the dashboard page if authentication is successful.

[0846] Step 2:

[0847] The user clicks the "Create a New Game" button on the dashboard page. The new game creation screen appears, and the user inputs the game genre, characters, storyline, and graphics style. The emotion engine analyzes the user's camera footage and microphone audio to recognize the user's emotional state.

[0848] Input: Game requirements (genre, characters, storyline, graphics), user facial expressions and voice

[0849] Output: Emotion data

[0850] The terminal uses an emotion engine to recognize the user's emotional state from their facial expressions and voice, and sends the data to the server to be reflected in the game requirements.

[0851] Step 3:

[0852] After the user inputs the game requirements and emotion data, they click the "Start Generation" button. The input data is sent to the server, which then transfers it to the generative AI model.

[0853] Input: Game requirements, emotion data

[0854] Output: Auto-generated game data

[0855] The server sends data to a generative AI model, which then automatically generates a game based on the requirements and emotional data and returns the results to the server.

[0856] Step 4:

[0857] The generated game is temporarily saved on the server and a preview link is generated, which the user can click to check the generated game.

[0858] Input: Auto-generated game data

[0859] Output: Preview link

[0860] The server provides a preview link that the user clicks to view the game.

[0861] Step 5:

[0862] The user inputs corrections based on the preview results. The emotion engine runs again, analyzes the user's emotional state, and suggests modifications to the game. The input data is again sent to the server.

[0863] Input: corrections, user facial expressions and voice

[0864] Output: Correction suggestions, correction data

[0865] The device sends corrections and emotional data to the server, which then transfers the data to the generative AI model to regenerate the game.

[0866] Step 6:

[0867] After the user completes the edits and makes a final confirmation, they access the "Publishing Settings" page, where they enter the publishing platform, publishing start date, advertising settings, and pricing settings.

[0868] Input: Public setting information

[0869] Output: Ready to publish notification

[0870] The server receives the publishing setting information and prepares to transfer the game files to the publishing server.

[0871] Step 7:

[0872] When the user clicks the "Publish" button, the server transfers the game files to the publishing server and begins distribution.

[0873] Input: Public Directive

[0874] Output: Game launch

[0875] The server will begin streaming the game based on the settings, and the game will be made available to general players.

[0876] Step 8:

[0877] The server compiles revenue information such as game play data, advertising revenue, and game sales, and provides it to users on a dashboard.

[0878] Input: Gameplay data, advertising revenue data, sales data

[0879] Output: Revenue information

[0880] The server aggregates the revenue information and displays it for the user to view on a dashboard.

[0881] 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.

[0882] 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.

[0883] 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.

[0884] [Third embodiment]

[0885] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0886] 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.

[0887] 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).

[0888] 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.

[0889] 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.

[0890] 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).

[0891] 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.

[0892] 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.

[0893] 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.

[0894] 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.

[0895] 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.

[0896] 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."

[0897] The present invention provides a system that utilizes generative artificial intelligence to enable even individuals to easily create, distribute, and monetize games. The following describes in detail the modes for carrying out the present invention.

[0898] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[0899] Next, the user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user can enter requirements such as the game genre, characters, storyline, and graphics style. These requirements can be easily entered using a web form or drag-and-drop interface.

[0900] When the user enters the requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI, which then automatically generates a game based on the received requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[0901] The server provides the user with a preview link of the generated game, and the user can click on the link to check the generated game. The user can preview various elements of the game and enter corrections as necessary. Corrections can be easily entered using a feedback form.

[0902] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the correction data and calls the generation AI again to regenerate the game. This allows the user to create a satisfactory game through multiple rounds of corrections and previews.

[0903] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0904] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[0905] As a concrete example, consider the case where User A is creating an action game. User A logs in and inputs the game genre as "action," the characters as "hero" and "enemy," the storyline as "adventure to save the world," and the graphics style as "2D pixel art." The generation AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally sets the publishing settings and distributes the game. Meanwhile, the server compiles User A's revenue information and displays it on a dashboard.

[0906] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize high-quality games.

[0907] The processing flow will be explained below.

[0908] Step 1:

[0909] The user launches a web browser on their device (PC, smartphone, etc.), accesses the platform's login page, enters their username and password, and clicks the "Login" button.

[0910] Step 2:

[0911] The server receives the user's authentication information and authenticates it against the database. If authentication is successful, it redirects the user to the dashboard page. If authentication fails, it displays an error message.

[0912] Step 3:

[0913] The user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user enters requirements such as the game genre (e.g., action), characters (e.g., hero and villain), storyline (e.g., an adventure to save the world), and graphics style (e.g., 2D pixel art).

[0914] Step 4:

[0915] The user confirms the game requirements entered and clicks the "Start Generation" button. The input data is sent from the device to the server.

[0916] Step 5:

[0917] The server checks the requirements data received from the user and forwards it to the AI ​​generator, which then automatically generates the game based on the requirements, including the game logic, graphics, music, and scene layout.

[0918] Step 6:

[0919] The generated game is temporarily stored on the server and a preview link is generated, which the server provides to the user.

[0920] Step 7:

[0921] The user clicks the preview link to check the generated game. The user can preview various elements of the game (character design, scene placement, etc.) and enter corrections in the feedback form if necessary.

[0922] Step 8:

[0923] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data, passes it to the generation AI again, and regenerates the game. The regenerated game is again provided to the user as a preview link.

[0924] Step 9:

[0925] When the user is finally satisfied with the game, they access the "Publish Settings" screen, where they enter the platform they want to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server.

[0926] Step 10:

[0927] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0928] Step 11:

[0929] Once games are available for distribution, they can be played by the general public. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides this information to users on a dashboard.

[0930] Step 12:

[0931] Users can access the dashboard to check their earnings information, and when their earnings reach a certain amount, they can withdraw their earnings.

[0932] Example 1

[0933] 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."

[0934] The creation of modern entertainment software requires advanced expertise and technology, making it difficult for individuals to easily create, distribute, and monetize high-quality software. Furthermore, the process of creating satisfactory entertainment software, which requires multiple revisions and previews, is complex and time-consuming. For these reasons, there is a need for a system that allows individuals to easily create entertainment software and quickly bring it to market.

[0935] 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.

[0936] In this invention, the server includes means for automatically generating entertainment software using a generating artificial intelligence, means for a user to input requirements for the entertainment software, means for transmitting the input requirements to the generating artificial intelligence, means for previewing the generated entertainment software, means for a user to input modifications based on the preview results, means for transmitting the modified requirements again to the generating artificial intelligence, means for a user to input a deployment arrangement, means for transferring the entertainment software to a deployment server based on the settings and starting distribution, and means for aggregating and displaying revenue information. This enables individuals to generate high-quality entertainment software without advanced specialized knowledge and to quickly and easily modify, preview, and publish it.

[0937] "Generative artificial intelligence" refers to algorithms or models for automatically generating entertainment software (e.g., games) based on user-entered requirements.

[0938] "Entertainment software" refers to programs and application software that provide entertainment and enjoyment to users.

[0939] "Requirements" are a set of conditions or specifications that a user must specify when generating entertainment software.

[0940] "Preview display" is a screen display function provided to the user to allow the user to check the contents of the generated entertainment software in advance.

[0941] "Deployment" refers to the settings and procedures for publishing the generated entertainment software on a specific platform and beginning distribution.

[0942] "Revenue Information" is a collection of revenue data derived from the distribution, sale, and advertising of entertainment software.

[0943] A means for entering "modifications" refers to the interface and method by which a user can make changes or improvements to the generated entertainment software.

[0944] A "development server" is a server system for hosting and distributing the generated entertainment software.

[0945] "Input means" refers to the interface or method by which a user provides specific information or settings to the system.

[0946] "Means for sending" refers to a mechanism for transferring information and settings entered by the user to the server or the generating AI.

[0947] The present invention provides a system that utilizes generative artificial intelligence to enable individuals to easily create, distribute, and monetize entertainment software (hereinafter referred to as games). The following describes in detail the modes for carrying out the present invention.

[0948] First, a user accesses the platform using a web browser from a device (such as a PC or smartphone). Examples of web browsers used include Google Chrome and Mozilla Firefox. The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[0949] Next, the user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user can enter requirements such as the game genre, characters, storyline, and graphics style. These requirements can be easily entered using a web form or drag-and-drop interface.

[0950] When a user enters their requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generative AI. An example of the generative AI model used is a model that utilizes natural language processing (NLP) technology. The generative AI model automatically generates a game based on the received requirements. This generation process includes game logic, graphics, music, scene placement, and more. The generated game is temporarily saved on the server, and a preview link is generated.

[0951] The server provides the user with a preview link of the generated game, and the user can click on the link to check the generated game. The user can preview various elements of the game and enter corrections as necessary. Corrections can be easily entered using a feedback form.

[0952] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the correction data and calls the generation AI again to regenerate the game. This allows the user to create a satisfactory game through multiple rounds of corrections and previews.

[0953] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on (e.g., smartphone app store or PC game platform), publication start date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[0954] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[0955] As a concrete example, consider the case where User A is creating an action game. User A logs in and enters the game genre as "action," the characters as "hero" and "enemy," the storyline as "an adventure to save the world," and the graphics style as "2D pixel art." An example of a prompt might be, "Use the generative AI model to generate an action game based on the following requirements: Genre: Action, Characters: Hero and Enemy, Storyline: An adventure to save the world, Graphics: 2D pixel art." The generative AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally publishes the game. Meanwhile, the server aggregates User A's revenue information and displays it on a dashboard.

[0956] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize sophisticated entertainment software.

[0957] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0958] Step 1:

[0959] Users access the platform using a web browser from a device (such as a PC or smartphone). The user initiates access by entering the platform URL, which causes the device to display a login screen. Input: Web browser URL. Output: Login screen.

[0960] Step 2:

[0961] The user enters a username and password on the login screen and clicks the "Login" button. The device sends the entered authentication information to the server. Input: Username, password. Output: Sending authentication information.

[0962] Step 3:

[0963] The server checks the received username and password against the authentication information in its database. If authentication is successful, the server saves the user information in the session and generates a redirect URL to the dashboard page. If authentication fails, the server returns an error message. Input: username, password. Output: authentication result (success or failure), redirect URL, or error message.

[0964] Step 4:

[0965] The device will follow the redirect URL returned by the server to display the dashboard page, which will provide the user with an interface to access their account and perform various operations. Input: Redirect URL. Output: Dashboard page.

[0966] Step 5:

[0967] The user clicks the "Create a new game" button from the dashboard menu. This transitions the device to the new game creation screen. Input: Click action. Output: New game creation screen.

[0968] Step 6:

[0969] Using a web form or drag-and-drop interface, users enter requirements such as game genre, characters, storyline, graphics style, etc. Input: Game requirements. Output: Requirement input data.

[0970] Step 7:

[0971] When the user enters requirements and clicks the "Start Generation" button, the input data is sent from the terminal to the server. Input: Requirement input data. Output: Data sent to the server.

[0972] Step 8:

[0973] The server analyzes the received data and performs necessary preprocessing (e.g., formatting and validating input data). After preprocessing, the data is transferred to the generative AI model. Input: Requirement data. Output: Preprocessed data, transferred to the generative AI.

[0974] Step 9:

[0975] The generative AI model generates game content based on user requirements. The generation process includes game logic configuration, graphics rendering, music selection, scene placement, etc. Input: Preprocessed data. Output: Generated game data.

[0976] Step 10:

[0977] The server temporarily stores the generated game data and generates a preview link to provide to the user. Input: Generated game data. Output: Preview link.

[0978] Step 11:

[0979] User can click on the preview link to see the generated game. Input: Preview link. Output: Preview screen.

[0980] Step 12:

[0981] The user checks various elements of the game and inputs corrections. The corrections are entered into a feedback form. Input: Correction data. Output: Correction feedback form.

[0982] Step 13:

[0983] When the user clicks the "Apply corrections" button, the corrected data is sent to the server again. Input: Corrected data. Output: Send corrected data to the server.

[0984] Step 14:

[0985] The server analyzes the received correction data and calls the generation AI model again to regenerate the game. Input: Correction data. Output: Regenerated game data.

[0986] Step 15:

[0987] The server provides the user with a new preview link for the regenerated game. Input: Regenerated game data. Output: New preview link.

[0988] Step 16:

[0989] The user accesses the "Publication Settings" screen and enters the platform to publish on, publication start date, advertising settings, pricing settings, etc. These settings are saved on the server. Input: Publication setting data. Output: Saved publication settings.

[0990] Step 17:

[0991] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and starts distributing the game based on the settings. Input: Publishing setting data. Output: Transfer of game files and start of distribution.

[0992] Step 18:

[0993] The server aggregates game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Input: Play data, revenue data. Output: Aggregation and display of revenue data.

[0994] Step 19:

[0995] When a user reaches a certain level of earnings, they can withdraw funds from the dashboard. The server accepts the withdrawal request and transfers funds to the financial institution. Input: Withdrawal request data. Output: Transfer procedure.

[0996] (Application example 1)

[0997] 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."

[0998] Conventional game creation systems require specialized knowledge and skills, making it difficult for individuals to easily create, distribute, and monetize games. Furthermore, the process of previewing and modifying created games is complicated, and user-friendly interfaces are lacking. The present invention aims to solve these problems by providing a system that allows individuals to easily create, distribute, and effectively monetize high-quality games.

[0999] 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.

[1000] In this invention, the server includes means for automatically generating a game using a generating AI, means for a user to input game requirements, means for transmitting the input requirements to the generating AI, means for previewing the generated game, means for a user to input modifications based on the preview results, means for transmitting the modified requirements again to the generating AI, means for a user to input publication settings, means for transferring the game to a publication server and starting distribution based on the settings, means for aggregating and displaying revenue information, means for providing a smartphone application as a content distribution service, means for receiving and confirming user authentication information, and means for managing revenue information of published games in real time. This enables users to easily generate, distribute, and monetize games without specialized knowledge.

[1001] "Generative AI" refers to AI technology that automatically generates games based on requirements entered by the user.

[1002] "Game Requirements" refers to the various specifications and conditions necessary to generate a game, such as the game genre, characters, storyline, and graphics style.

[1003] "Public Server" refers to a server used on the Internet to provide generated games to players.

[1004] "Revenue information" refers to economic data obtained from games, such as generated game play data, advertising revenue, and game sales.

[1005] "Content distribution service" refers to a service that provides various digital contents to users via the Internet.

[1006] "Smartphone application" refers to software developed for the purpose of running on a smartphone.

[1007] "User Credentials" means information used to identify and authenticate a user, such as a username and password.

[1008] "Real-time management means" refers to technologies and methods that instantly process current situations and data and provide users with the latest information.

[1009] This invention provides a system that allows individuals to easily create, distribute, and monetize games using generative AI models. Below, we will explain how to specifically implement this invention.

[1010] First, users use a smartphone application. They log in to the application and input the game requirements (genre, characters, storyline, graphics style, etc.), which allows users to easily provide the necessary information for game creation.

[1011] The server receives the requirements entered by the user and sends them to the generative AI model. The generative AI model automatically generates a game based on these requirements. The generated game is temporarily saved on the server and a preview link is provided to the user. The generated game can be viewed by clicking this preview link.

[1012] Users can input corrections based on the preview of the game they have checked. The corrections are sent back to the server, which then sends them to the generative AI model to regenerate the game. This allows users to repeatedly make corrections and previews until they are satisfied with the game.

[1013] Once the game is complete, the user sets up the game for publication. They enter the publishing platform, release date, advertising settings, pricing, etc. Once these settings are complete, the server transfers the created game to the publishing server and begins distribution. Once the game is released, it can be played by users and general players.

[1014] In addition, the server manages revenue information for published games in real time and provides it to users. Users can check the revenue information within the application and can withdraw money when a certain amount is reached.

[1015] This system utilizes a lightweight web framework such as Flask, a generative AI model (e.g., OpenAI's GPT-4), and a database (SQLite or MySQL). The smartphone application runs on a combination of these technologies.

[1016] As a concrete example, if a user were to create a "horror game," they would send the following prompt to the generative AI model:

[1017] "The genre is horror, and the characters are 1. the protagonist, 2. ghosts, and 3. villagers. The storyline is an adventure to survive in a cursed village. It contains many scenes that will terrify the player with 2D graphics."

[1018] As described above, by implementing the present invention, a system can be realized that enables even individuals to easily create, distribute, and monetize high-quality games.

[1019] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1020] Step 1:

[1021] The user launches the smartphone application and accesses the login screen. They enter their username and password and send the authentication information to the server. The server compares the received username and password with the information in the database, and if authentication is successful, redirects the user to the dashboard screen.

[1022] Input: Username, Password

[1023] Data processing: Database collation

[1024] Output: Redirect to the dashboard screen

[1025] Step 2:

[1026] Users click the "Create a New Game" button on the dashboard to go to the new game creation screen, where they enter requirements such as the game genre, characters, storyline, and graphics style, and then send this to the server.

[1027] Input: Game genre, characters, storyline, graphics style

[1028] Data processing: Collecting user-input data

[1029] Output: Send requirements data

[1030] Step 3:

[1031] The server sends the received game requirements data to the generative AI model, which automatically generates a game based on the prompt and returns the results to the server.

[1032] Input: Game requirements data

[1033] Data processing: Game generation using generative AI

[1034] Output: Generated game data

[1035] Step 4:

[1036] The server temporarily stores the generated game data and generates a preview link, which is provided to the user, who can click the link to view the generated game.

[1037] Input: Generated game data

[1038] Data processing: Data saving, preview link generation

[1039] Output: Preview link

[1040] Step 5:

[1041] Users can check the game through the preview link and enter any corrections that need to be made in the feedback form, which is then sent to the server.

[1042] Input: Feedback on corrections

[1043] Data Processing: Collecting User Input

[1044] Output: Corrective feedback data

[1045] Step 6:

[1046] The server sends the corrective feedback data to the AI ​​model again, regenerates the game, saves the game data with the corrective changes reflected on the server, and provides a preview link to the user again.

[1047] Input: Corrective feedback data

[1048] Data processing: Regenerating games with generative AI

[1049] Output: Regenerated game data, preview link

[1050] Step 7:

[1051] Once a game that the user is satisfied with has been created, the user accesses the publishing settings screen and inputs the publishing platform, publication start date, advertising settings, pricing settings, etc., which are then sent to the server.

[1052] Input: Public setting data

[1053] Data Processing: Collecting User Input

[1054] Output: Sending public setting data

[1055] Step 8:

[1056] The server transfers the game to the public server based on the public setting data and starts distributing the game. Once the distribution of the game has started, it can be played by players.

[1057] Input: Public setting data

[1058] Data processing: Transfer of game data, distribution begins

[1059] Output: Published game

[1060] Step 9:

[1061] The server manages the play data and revenue information of published games in real time and displays it to users through a dashboard, where users can check their revenue information and make withdrawals as needed.

[1062] Input: Play data, revenue information

[1063] Data processing: Real-time management, dashboard display

[1064] Output: Display revenue information

[1065] 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.

[1066] The present invention provides a system that combines generative artificial intelligence and an emotion engine to enable even individuals to easily create, distribute, and monetize games. The following describes in detail the modes for carrying out the present invention.

[1067] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[1068] Next, the user clicks the "Create a New Game" button on the dashboard to open a new game creation screen. Here, the user enters requirements such as the game genre, characters, storyline, and graphics style. These requirements are supported by a web form, a drag-and-drop interface, and an emotion engine that analyzes the user's facial expressions and voice. The emotion engine recognizes the user's emotional state from their facial expressions and tone of voice and incorporates that data into the game requirements.

[1069] When the user enters the requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI, which then automatically generates a game based on the requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[1070] The server provides the user with a preview link for the generated game, which the user clicks to view. The user previews various elements of the game and inputs corrections as necessary. The emotion engine then evaluates the user's emotional state at the time of preview and automatically generates suggestions for game corrections based on the results. For example, if the user feels excited or frustrated at a particular scene in the game, the engine analyzes that emotional data and suggests changes to the difficulty level or scene reconstruction.

[1071] When the user enters the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the corrections and calls the generation AI again to regenerate the game. The regenerated game is again provided to the user as a preview link. This process is repeated until the user is satisfied.

[1072] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[1073] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[1074] As a concrete example, consider the case where User A is creating an action game. User A logs in and inputs the game genre as "action," the characters as "hero" and "enemy," the storyline as "adventure to save the world," and the graphics style as "2D pixel art." The generation AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally sets the publishing settings and distributes the game. Meanwhile, the server compiles User A's revenue information and displays it on a dashboard.

[1075] In this way, the system of this invention provides an environment in which even individuals can easily create, distribute, and monetize high-quality games. Furthermore, the introduction of an emotion engine enables flexible game development and improvement according to the user's emotional state, further improving game quality and user experience.

[1076] The processing flow will be explained below.

[1077] Step 1:

[1078] The user launches a web browser on their device (PC, smartphone, etc.), accesses the platform's login page, enters their username and password, and clicks the "Login" button.

[1079] Step 2:

[1080] The server receives the user's authentication information and authenticates it against the database. If authentication is successful, it redirects the user to the dashboard page. If authentication fails, it displays an error message.

[1081] Step 3:

[1082] The user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where they input requirements such as the game genre (e.g., action), characters (e.g., hero and villain), storyline (e.g., an adventure to save the world), and graphics style (e.g., 2D pixel art).

[1083] Step 4:

[1084] The emotion engine analyzes the user's facial expressions and voice to obtain emotional data. For example, if a user uses a camera or microphone to input visual and audio information, the engine can determine the user's emotional state from their facial expressions and tone of voice.

[1085] Step 5:

[1086] The terminal transmits the game requirements input by the user and the emotion data obtained from the emotion engine to the server.

[1087] Step 6:

[1088] The server receives requirements and emotional data, which are then transferred to a generation AI, which then automatically generates the game. The generation AI then generates the game's logic, graphics, music, scene layout, etc. It is also possible to adjust the game's difficulty and storyline based on the emotional data.

[1089] Step 7:

[1090] The generated game is temporarily stored on the server and a preview link is generated, which the server provides to the user.

[1091] Step 8:

[1092] The user clicks the preview link to check the generated game. The user can preview various elements of the game (character design, scene placement, etc.) and enter any complaints or suggestions for improvement in the feedback form.

[1093] Step 9:

[1094] The emotion engine evaluates the user's emotional state in real time during preview and complements the user's feedback. For example, if the user is dissatisfied with a particular scene, the engine will analyze the user's emotional state and automatically suggest corresponding revisions.

[1095] Step 10:

[1096] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data and calls the generation AI again to regenerate the game. The regenerated game is again provided to the user as a preview link.

[1097] Step 11:

[1098] This process of revision and previewing is repeated until the user is finally satisfied.

[1099] Step 12:

[1100] Once the game is complete, the user accesses the "Release Settings" screen and enters the platform to release it on, the release start date, advertising settings, pricing settings, etc. These settings are saved on the server.

[1101] Step 13:

[1102] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[1103] Step 14:

[1104] Once games are available for distribution, they can be played by the general public. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides this information to users on a dashboard.

[1105] Step 15:

[1106] Users can access the dashboard to check their earnings information, and when their earnings reach a certain amount, they can withdraw their earnings.

[1107] Example 2

[1108] 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."

[1109] Conventional game development environments require advanced technical knowledge and specialized software, making it difficult for individuals to easily create high-quality electronic games. Furthermore, the game development process was unable to incorporate user emotions, limiting the improvement of user experience. Furthermore, modifying and publishing games was complicated, making it difficult to grasp monetization in real time.

[1110] 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.

[1111] In this invention, the server includes: means for automatically generating electronic games using a generating AI; means for a user to input requirements for the electronic game; means for transmitting the input requirements to the generating AI; means for previewing the generated electronic game; means for the user to input modifications based on the preview results; means including an emotion engine that analyzes the user's facial expressions and tone of voice to evaluate their emotional state; means for suggesting modifications based on the emotion engine's evaluation results; means for transmitting the modified requirements back to the generating AI; means for the user to input publishing settings; means for transferring the electronic game to a publishing server based on the settings and starting distribution; and means for aggregating and displaying revenue information. This allows users to easily create, modify, publish, and monetize high-quality electronic games without specialized technical knowledge. Furthermore, the use of the emotion engine enables flexible game design and improvement based on the user's emotional state, further improving the user experience.

[1112] "Generative AI" is an AI technology for automatically generating games and simulations based on user-provided requirements.

[1113] "Electronic games" refers to games and interactive simulations that run on computers or other devices and are entertained by users.

[1114] "User" refers to any individual or entity that uses the System to create, modify, publish, and monetize games.

[1115] "Requirements" refers to the information entered by a user to specify the game's components (genre, characters, storyline, graphics style, etc.).

[1116] An "emotion engine" is a technology that analyzes a user's facial expressions and tone of voice to assess their emotional state and uses the results to improve interactive applications.

[1117] A "public server" is a server that hosts generated game files and makes them publicly available and available for distribution via the Internet.

[1118] "Revenue information" refers to data related to the economic benefits users obtain from the system, such as game play data, advertising revenue, and game sales.

[1119] "Preview" is a feature that allows users to check an early version of the generated game and identify corrections if necessary.

[1120] "Modification Suggestion" refers to a specific change proposal that the user makes to provide a better gaming experience based on the emotion engine's evaluation results.

[1121] The present invention provides a system that combines generative artificial intelligence and an emotion engine to enable even individuals to easily create, distribute, and monetize electronic games. The embodiments of the present invention will be described in detail below.

[1122] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page where they can perform various operations.

[1123] Next, the user clicks the "Create a New Game" button on the dashboard to open a new game creation screen. Here, the user enters requirements such as the electronic game genre, characters, storyline, and graphics style. These requirements are supported by a web form, a drag-and-drop interface, and an emotion engine that analyzes the user's facial expressions and voice. The emotion engine recognizes the user's emotional state from their facial expressions and tone of voice and incorporates that data into the game requirements.

[1124] For example, the requirements the user enters are:

[1125] Game genre: Action

[1126] Characters: Heroes and villains

[1127] Storyline: An adventure to save the world

[1128] Graphics Style: 2D pixel art

[1129] When the user enters their requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI model. The generation AI model automatically generates an electronic game based on the requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[1130] The server provides the user with a preview link for the generated game. The user clicks on the link to view the generated game. The user previews various elements of the game and inputs corrections as necessary. The emotion engine evaluates the user's emotional state at the time of preview and automatically generates suggestions for game corrections based on the results. For example, if the user feels excited or frustrated at a particular scene in the game, the engine analyzes that emotional data and suggests changes to the difficulty level or scene reconstruction.

[1131] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data and calls the generation AI again to regenerate the electronic game. The regenerated game is again provided to the user as a preview link. This process is repeated until the user is satisfied.

[1132] Once the electronic game is complete, the user accesses the "Publish Settings" screen and inputs the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game file to the publishing server and begins distributing the game based on the settings.

[1133] Once the distribution of electronic games begins, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can proceed with withdrawal.

[1134] Once the user confirms the earnings information and completes the withdrawal procedure, the creation, modification, publication, and monetization of electronic games using this system will be completed.

[1135] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize high-quality electronic games. Furthermore, by introducing an emotion engine, it becomes possible to flexibly build and improve games according to the user's emotional state, further improving the quality of games and the user experience.

[1136] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1137] Step 1:

[1138] The user starts a web browser on the terminal and accesses the system's login page.

[1139] Specific action: The user enters the system's URL (e.g., www.example-game-platform.com) into the browser's URL bar.

[1140] Input: The URL entered in the browser's URL bar

[1141] Output: Login page displayed

[1142] Step 2:

[1143] The user enters their username and password on the login screen.

[1144] Specific action: The user enters a username and password into the form and clicks the "Login" button.

[1145] Input: Username and Password

[1146] Output: Sending authentication information

[1147] Step 3:

[1148] The server checks the entered authentication information against a database and performs authentication.

[1149] What happens: The server compares the username and password with the information retrieved from the database, and if successful, starts a session and returns a cookie to the user.

[1150] Input: Username and password (authentication information)

[1151] Output: Authentication success or failure response

[1152] Step 4:

[1153] After successful authentication, the server redirects the user to the dashboard page.

[1154] Specific operation: The server sends a response including the URL of the dashboard page to the user terminal.

[1155] Input: Authentication success response

[1156] Output: Dashboard page displayed

[1157] Step 5:

[1158] The user clicks the "Create a new game" button on the dashboard to open the new game creation screen.

[1159] What happens: The user finds the "Create a new game" button on the dashboard and clicks it.

[1160] Input: Dashboard page

[1161] Output: Display of "Create a new game" page

[1162] Step 6:

[1163] The user enters various requirements for the game on the new game creation screen.

[1164] What happens: The user enters the game genre, characters, storyline, graphics style, etc. using text input fields or drop-down menus.

[1165] Input: Game requirements (genre, characters, storyline, graphics style)

[1166] Output: Send game requirements data

[1167] Step 7:

[1168] The terminal assists user input with an emotion engine.

[1169] Specific operation: The emotion engine captures the user's facial expressions and voice through the webcam and microphone and analyzes the data in real time.

[1170] Input: User's facial expression data, voice tone data

[1171] Output: Emotional state evaluation result

[1172] Step 8:

[1173] When the user clicks the "Start Generation" button, the input data is sent from the terminal to the server.

[1174] Specific operation: The browser sends the generated data to the server as a POST request.

[1175] Input: Game requirements data, emotional evaluation data

[1176] Output: Send data to the server

[1177] Step 9:

[1178] The server sends input data to the generative artificial intelligence (AI).

[1179] Specific operation: The server makes an API request to the generated AI model and sends a request body containing the requirement data.

[1180] Input: Game requirements data, emotional evaluation data

[1181] Output: Sending a request to the generation AI

[1182] Step 10:

[1183] A generative AI generates the game.

[1184] Specific operation: The generative AI automatically generates game logic, graphics, music, scene placement, etc., and returns the results to the server.

[1185] Input: Game requirements data, emotional evaluation data

[1186] Output: Generated game data

[1187] Step 11:

[1188] The server provides the user with a preview link of the generated game.

[1189] What happens: The server displays a preview link on the user's dashboard.

[1190] Input: Generated game data

[1191] Output: Show preview link

[1192] Step 12:

[1193] User clicks on the preview link to see the game.

[1194] What happens: The user clicks on the preview link and the browser opens the game preview screen.

[1195] Input: Preview link

[1196] Output: Show game preview

[1197] Step 13:

[1198] The emotion engine analyzes the user's facial expressions and tone of voice and suggests modifications to the game.

[1199] Specific operation: The emotion engine captures real-time emotion data while the user is playing the game and displays the analysis results on a dashboard.

[1200] Input: User's facial expression data, voice tone data

[1201] Output: Show suggested fixes

[1202] Step 14:

[1203] The user inputs the corrections and clicks the "Reflect Corrections" button.

[1204] Specific actions: The user enters the corrections in the dashboard and clicks the "Apply corrections" button.

[1205] Input: Correction data

[1206] Output: Send corrected data to the server

[1207] Step 15:

[1208] The server sends the correction data to the generation AI, which then regenerates the game.

[1209] Specific operation: The server sends an API request to the generation AI again and sends a request body containing the corrected data.

[1210] Input: Correction data

[1211] Output: Send request to generation AI

[1212] Step 16:

[1213] The server provides the user with a preview link of the regenerated game.

[1214] What happens: The server displays a new preview link in the dashboard.

[1215] Input: Regenerated game data

[1216] Output: Show new preview link

[1217] Step 17:

[1218] The user enters the required information on the "Publication Settings" screen.

[1219] Specific operations: The user enters the publishing platform, publication start date, advertising settings, pricing settings, etc., and clicks the "Publish" button.

[1220] Input: Public setting data

[1221] Output: Send public setting data to the server

[1222] Step 18:

[1223] The server saves the publishing settings and transfers the game files to the publishing server.

[1224] What happens: The server saves these settings in a database and uploads the game files to the corresponding platform.

[1225] Input: Public setting data, game files

[1226] Output: Publish game files

[1227] Step 19:

[1228] The server compiles play data and revenue data and provides it to the user.

[1229] Specific operation: The server displays play data, advertising revenue, game sales, etc. on a dashboard.

[1230] Input: play data, advertising revenue data, game sales data

[1231] Output: Aggregating and displaying revenue data

[1232] Step 20:

[1233] The user checks the earnings data and performs the withdrawal procedure.

[1234] Specific operation: The user checks the earnings data, and if the withdrawal conditions are met, clicks the "Withdraw Earnings" button to complete the procedure.

[1235] Input: Revenue Data

[1236] Output: Withdrawal procedure completed

[1237] (Application example 2)

[1238] 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."

[1239] Conventional game creation systems require specialized knowledge and skills for users to create games from scratch and then distribute and monetize them, making them difficult for average users. Furthermore, they lacked the ability to adjust the game to reflect the user's emotional state, making it difficult to optimize the user experience. There is a need to solve these problems and provide a system that allows anyone to easily create, distribute, and monetize high-quality games.

[1240] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1241] In this invention, the server includes means for verifying user authentication information, means for automatically generating a game using a generating AI, means for the user to input game requirements, means for recognizing the user's emotional state from facial expressions and voice using an emotion engine and reflecting that data in the requirements, means for transmitting the input requirements to the generating AI, means for previewing the generated game, means for the user to input corrections based on the preview results, means for transmitting the corrected requirements again to the generating AI, means for the user to input public settings, means for transferring the game to a public server based on the settings and starting distribution, and means for aggregating and displaying revenue information. This enables the automatic generation of high-quality games, optimization of games according to the user's emotional state, and easy distribution and monetization.

[1242] "User authentication information" is information used to verify a user's identity, such as a user's login name and password.

[1243] "Generative AI" is an AI technology that automatically generates games based on requirements entered by the user.

[1244] "Game requirements" are information necessary to create a game, such as the game genre, characters, storyline, and graphics style.

[1245] The "emotion engine" is a system that recognizes the user's emotional state from their facial expressions and voice, and analyzes and utilizes that data.

[1246] The "emotional state" is an emotional state such as excitement, surprise, satisfaction, or dissatisfaction that can be recognized from the user's facial expression and tone of voice.

[1247] "Preview display" is a function that displays a part or the whole of the generated game in advance, allowing the user to check the content.

[1248] "Release Settings" is a function that allows you to select and set the release platform, release start date, advertising settings, pricing, etc. of the generated game.

[1249] A "public server" is a server infrastructure for distributing generated games.

[1250] "Revenue information" refers to revenue data related to the generated game, such as game sales, advertising revenue, and play data.

[1251] This invention is a system for distributing and monetizing games that are automatically generated based on user input game requirements. This system operates as follows, using hardware and software such as a server, user terminals, generative AI models, and emotion engines.

[1252] The server includes means for verifying user authentication information, means for automatically generating a game using a generating artificial intelligence, means for the user to input game requirements, means for recognizing the emotional state of the user from facial expressions and voice using an emotion engine and reflecting that data in the requirements, means for transmitting the input requirements to the generating artificial intelligence, means for displaying a preview of the generated game, means for the user to input corrections based on the preview results, means for transmitting the corrected requirements again to the generating artificial intelligence, means for the user to input public settings, means for transferring the game to a public server based on the settings and starting distribution, and means for aggregating and displaying revenue information.

[1253] A description of what the program does

[1254] A user accesses the system using a terminal (e.g., a smartphone) and logs in with a username and password. The server verifies the user authentication information, and if the user successfully logs in, they are redirected to the dashboard page.

[1255] On the dashboard page, users click the "Create New Game" button to open the new game creation screen, where they input the genre, characters, storyline, graphics style, etc. At this time, the emotion engine analyzes the user's emotional state from their facial expressions and tone of voice, and reflects the results in the game requirements.

[1256] When the user enters the requirements and clicks the "Start Generation" button, the data is sent to the server. The server receives the data and transfers it to the generative AI model. The generative AI model automatically generates a game based on the input requirements and emotional data and returns the results to the server. The generated game is temporarily saved on the server, and a preview link is generated.

[1257] The user can click the preview link to check the generated game and input any necessary corrections. The emotion engine also works during this process, analyzing the user's emotions and suggesting corrections to the game. For example, if the user is dissatisfied with a particular scene, the engine will suggest readjustments to that scene based on the user's emotional data.

[1258] When the user enters the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server then sends this data to the generative AI model and regenerates the game. This allows the user to repeatedly preview and modify the game until they are satisfied.

[1259] Once the game is complete, the user accesses the "Publish Settings" page and enters the publishing platform, release date, advertising settings, pricing settings, etc. The server transfers the game files to the publishing server based on these settings and begins distributing the game. Once the game is distributed, it can be played by users and general players.

[1260] The server compiles revenue information such as game play data, advertising revenue, and game sales, and provides it to users on a dashboard. When a certain amount is reached, users can request a withdrawal.

[1261] Examples of specific examples and prompts

[1262] As a concrete example, consider a user creating a "Fantasy RPG." The user logs in and inputs the game genre as Fantasy RPG, the characters as heroes, wizards, and dragons, and the storyline as an adventure to save the kingdom. The emotion engine analyzes the user's emotional state and reflects it in the requirements.

[1263] Examples of prompts include:

[1264] Game genre: Fantasy RPG

[1265] Characters: Hero, Wizard, Dragon

[1266] Storyline: Adventure to save the kingdom

[1267] User facial expression: Smiling

[1268] User Voice Tone: Excited

[1269] In this way, by implementing the present invention, a system is provided that allows anyone to easily create, distribute, and monetize high-quality games.

[1270] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1271] Step 1:

[1272] The user accesses the system from a device (e.g., a smartphone) and enters their username and password. The server receives this and authenticates them by checking it against the database.

[1273] Input: Username, Password

[1274] Output: Authentication result (success / failure)

[1275] The server verifies the user credentials and redirects them to the dashboard page if authentication is successful.

[1276] Step 2:

[1277] The user clicks the "Create a New Game" button on the dashboard page. The new game creation screen appears, and the user inputs the game genre, characters, storyline, and graphics style. The emotion engine analyzes the user's camera footage and microphone audio to recognize the user's emotional state.

[1278] Input: Game requirements (genre, characters, storyline, graphics), user facial expressions and voice

[1279] Output: Emotion data

[1280] The terminal uses an emotion engine to recognize the user's emotional state from their facial expressions and voice, and sends the data to the server to be reflected in the game requirements.

[1281] Step 3:

[1282] After the user inputs the game requirements and emotion data, they click the "Start Generation" button. The input data is sent to the server, which then transfers it to the generative AI model.

[1283] Input: Game requirements, emotion data

[1284] Output: Auto-generated game data

[1285] The server sends data to a generative AI model, which then automatically generates a game based on the requirements and emotional data and returns the results to the server.

[1286] Step 4:

[1287] The generated game is temporarily saved on the server and a preview link is generated, which the user can click to check the generated game.

[1288] Input: Auto-generated game data

[1289] Output: Preview link

[1290] The server provides a preview link that the user clicks to view the game.

[1291] Step 5:

[1292] The user inputs corrections based on the preview results. The emotion engine runs again, analyzes the user's emotional state, and suggests modifications to the game. The input data is again sent to the server.

[1293] Input: corrections, user facial expressions and voice

[1294] Output: Correction suggestions, correction data

[1295] The device sends corrections and emotional data to the server, which then transfers the data to the generative AI model to regenerate the game.

[1296] Step 6:

[1297] After the user completes the edits and makes a final confirmation, they access the "Publishing Settings" page, where they enter the publishing platform, publishing start date, advertising settings, and pricing settings.

[1298] Input: Public setting information

[1299] Output: Ready to publish notification

[1300] The server receives the publishing setting information and prepares to transfer the game files to the publishing server.

[1301] Step 7:

[1302] When the user clicks the "Publish" button, the server transfers the game files to the publishing server and begins distribution.

[1303] Input: Public Directive

[1304] Output: Game launch

[1305] The server will begin streaming the game based on the settings, and the game will be made available to general players.

[1306] Step 8:

[1307] The server compiles revenue information such as game play data, advertising revenue, and game sales, and provides it to users on a dashboard.

[1308] Input: Gameplay data, advertising revenue data, sales data

[1309] Output: Revenue information

[1310] The server aggregates the revenue information and displays it for the user to view on a dashboard.

[1311] 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.

[1312] 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.

[1313] 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.

[1314] [Fourth embodiment]

[1315] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1316] 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.

[1317] 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).

[1318] 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.

[1319] 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.

[1320] 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).

[1321] 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.

[1322] 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.

[1323] 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.

[1324] 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.

[1325] 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.

[1326] 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.

[1327] 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."

[1328] The present invention provides a system that utilizes generative artificial intelligence to enable even individuals to easily create, distribute, and monetize games. The following describes in detail the modes for carrying out the present invention.

[1329] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[1330] Next, the user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user can enter requirements such as the game genre, characters, storyline, and graphics style. These requirements can be easily entered using a web form or drag-and-drop interface.

[1331] When the user enters the requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI, which then automatically generates a game based on the received requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[1332] The server provides the user with a preview link of the generated game, and the user can click on the link to check the generated game. The user can preview various elements of the game and enter corrections as necessary. Corrections can be easily entered using a feedback form.

[1333] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the correction data and calls the generation AI again to regenerate the game. This allows the user to create a satisfactory game through multiple rounds of corrections and previews.

[1334] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[1335] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[1336] As a concrete example, consider the case where User A is creating an action game. User A logs in and inputs the game genre as "action," the characters as "hero" and "enemy," the storyline as "adventure to save the world," and the graphics style as "2D pixel art." The generation AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally sets the publishing settings and distributes the game. Meanwhile, the server compiles User A's revenue information and displays it on a dashboard.

[1337] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize high-quality games.

[1338] The processing flow will be explained below.

[1339] Step 1:

[1340] The user launches a web browser on their device (PC, smartphone, etc.), accesses the platform's login page, enters their username and password, and clicks the "Login" button.

[1341] Step 2:

[1342] The server receives the user's authentication information and authenticates it against the database. If authentication is successful, it redirects the user to the dashboard page. If authentication fails, it displays an error message.

[1343] Step 3:

[1344] The user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user enters requirements such as the game genre (e.g., action), characters (e.g., hero and villain), storyline (e.g., an adventure to save the world), and graphics style (e.g., 2D pixel art).

[1345] Step 4:

[1346] The user confirms the game requirements entered and clicks the "Start Generation" button. The input data is sent from the device to the server.

[1347] Step 5:

[1348] The server checks the requirements data received from the user and forwards it to the AI ​​generator, which then automatically generates the game based on the requirements, including the game logic, graphics, music, and scene layout.

[1349] Step 6:

[1350] The generated game is temporarily stored on the server and a preview link is generated, which the server provides to the user.

[1351] Step 7:

[1352] The user clicks the preview link to check the generated game. The user can preview various elements of the game (character design, scene placement, etc.) and enter corrections in the feedback form if necessary.

[1353] Step 8:

[1354] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data, passes it to the generation AI again, and regenerates the game. The regenerated game is again provided to the user as a preview link.

[1355] Step 9:

[1356] When the user is finally satisfied with the game, they access the "Publish Settings" screen, where they enter the platform they want to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server.

[1357] Step 10:

[1358] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[1359] Step 11:

[1360] Once games are available for distribution, they can be played by the general public. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides this information to users on a dashboard.

[1361] Step 12:

[1362] Users can access the dashboard to check their earnings information, and when their earnings reach a certain amount, they can withdraw their earnings.

[1363] Example 1

[1364] 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."

[1365] The creation of modern entertainment software requires advanced expertise and technology, making it difficult for individuals to easily create, distribute, and monetize high-quality software. Furthermore, the process of creating satisfactory entertainment software, which requires multiple revisions and previews, is complex and time-consuming. For these reasons, there is a need for a system that allows individuals to easily create entertainment software and quickly bring it to market.

[1366] 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.

[1367] In this invention, the server includes means for automatically generating entertainment software using a generating artificial intelligence, means for a user to input requirements for the entertainment software, means for transmitting the input requirements to the generating artificial intelligence, means for previewing the generated entertainment software, means for a user to input modifications based on the preview results, means for transmitting the modified requirements again to the generating artificial intelligence, means for a user to input a deployment arrangement, means for transferring the entertainment software to a deployment server based on the settings and starting distribution, and means for aggregating and displaying revenue information. This enables individuals to generate high-quality entertainment software without advanced specialized knowledge and to quickly and easily modify, preview, and publish it.

[1368] "Generative artificial intelligence" refers to algorithms or models for automatically generating entertainment software (e.g., games) based on user-entered requirements.

[1369] "Entertainment software" refers to programs and application software that provide entertainment and enjoyment to users.

[1370] "Requirements" are a set of conditions or specifications that a user must specify when generating entertainment software.

[1371] "Preview display" is a screen display function provided to the user to allow the user to check the contents of the generated entertainment software in advance.

[1372] "Deployment" refers to the settings and procedures for publishing the generated entertainment software on a specific platform and beginning distribution.

[1373] "Revenue Information" is a collection of revenue data derived from the distribution, sale, and advertising of entertainment software.

[1374] A means for entering "modifications" refers to the interface and method by which a user can make changes or improvements to the generated entertainment software.

[1375] A "development server" is a server system for hosting and distributing the generated entertainment software.

[1376] "Input means" refers to the interface or method by which a user provides specific information or settings to the system.

[1377] "Means for sending" refers to a mechanism for transferring information and settings entered by the user to the server or the generating AI.

[1378] The present invention provides a system that utilizes generative artificial intelligence to enable individuals to easily create, distribute, and monetize entertainment software (hereinafter referred to as games). The following describes in detail the modes for carrying out the present invention.

[1379] First, a user accesses the platform using a web browser from a device (such as a PC or smartphone). Examples of web browsers used include Google Chrome and Mozilla Firefox. The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[1380] Next, the user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where the user can enter requirements such as the game genre, characters, storyline, and graphics style. These requirements can be easily entered using a web form or drag-and-drop interface.

[1381] When a user enters their requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generative AI. An example of the generative AI model used is a model that utilizes natural language processing (NLP) technology. The generative AI model automatically generates a game based on the received requirements. This generation process includes game logic, graphics, music, scene placement, and more. The generated game is temporarily saved on the server, and a preview link is generated.

[1382] The server provides the user with a preview link of the generated game, and the user can click on the link to check the generated game. The user can preview various elements of the game and enter corrections as necessary. Corrections can be easily entered using a feedback form.

[1383] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the correction data and calls the generation AI again to regenerate the game. This allows the user to create a satisfactory game through multiple rounds of corrections and previews.

[1384] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on (e.g., smartphone app store or PC game platform), publication start date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[1385] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[1386] As a concrete example, consider the case where User A is creating an action game. User A logs in and enters the game genre as "action," the characters as "hero" and "enemy," the storyline as "an adventure to save the world," and the graphics style as "2D pixel art." An example of a prompt might be, "Use the generative AI model to generate an action game based on the following requirements: Genre: Action, Characters: Hero and Enemy, Storyline: An adventure to save the world, Graphics: 2D pixel art." The generative AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally publishes the game. Meanwhile, the server aggregates User A's revenue information and displays it on a dashboard.

[1387] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize sophisticated entertainment software.

[1388] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1389] Step 1:

[1390] Users access the platform using a web browser from a device (such as a PC or smartphone). The user initiates access by entering the platform URL, which causes the device to display a login screen. Input: Web browser URL. Output: Login screen.

[1391] Step 2:

[1392] The user enters a username and password on the login screen and clicks the "Login" button. The device sends the entered authentication information to the server. Input: Username, password. Output: Sending authentication information.

[1393] Step 3:

[1394] The server checks the received username and password against the authentication information in its database. If authentication is successful, the server saves the user information in the session and generates a redirect URL to the dashboard page. If authentication fails, the server returns an error message. Input: username, password. Output: authentication result (success or failure), redirect URL, or error message.

[1395] Step 4:

[1396] The device will follow the redirect URL returned by the server to display the dashboard page, which will provide the user with an interface to access their account and perform various operations. Input: Redirect URL. Output: Dashboard page.

[1397] Step 5:

[1398] The user clicks the "Create a new game" button from the dashboard menu. This transitions the device to the new game creation screen. Input: Click action. Output: New game creation screen.

[1399] Step 6:

[1400] Using a web form or drag-and-drop interface, users enter requirements such as game genre, characters, storyline, graphics style, etc. Input: Game requirements. Output: Requirement input data.

[1401] Step 7:

[1402] When the user enters requirements and clicks the "Start Generation" button, the input data is sent from the terminal to the server. Input: Requirement input data. Output: Data sent to the server.

[1403] Step 8:

[1404] The server analyzes the received data and performs necessary preprocessing (e.g., formatting and validating input data). After preprocessing, the data is transferred to the generative AI model. Input: Requirement data. Output: Preprocessed data, transferred to the generative AI.

[1405] Step 9:

[1406] The generative AI model generates game content based on user requirements. The generation process includes game logic configuration, graphics rendering, music selection, scene placement, etc. Input: Preprocessed data. Output: Generated game data.

[1407] Step 10:

[1408] The server temporarily stores the generated game data and generates a preview link to provide to the user. Input: Generated game data. Output: Preview link.

[1409] Step 11:

[1410] User can click on the preview link to see the generated game. Input: Preview link. Output: Preview screen.

[1411] Step 12:

[1412] The user checks various elements of the game and inputs corrections. The corrections are entered into a feedback form. Input: Correction data. Output: Correction feedback form.

[1413] Step 13:

[1414] When the user clicks the "Apply corrections" button, the corrected data is sent to the server again. Input: Corrected data. Output: Send corrected data to the server.

[1415] Step 14:

[1416] The server analyzes the received correction data and calls the generation AI model again to regenerate the game. Input: Correction data. Output: Regenerated game data.

[1417] Step 15:

[1418] The server provides the user with a new preview link for the regenerated game. Input: Regenerated game data. Output: New preview link.

[1419] Step 16:

[1420] The user accesses the "Publication Settings" screen and enters the platform to publish on, publication start date, advertising settings, pricing settings, etc. These settings are saved on the server. Input: Publication setting data. Output: Saved publication settings.

[1421] Step 17:

[1422] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and starts distributing the game based on the settings. Input: Publishing setting data. Output: Transfer of game files and start of distribution.

[1423] Step 18:

[1424] The server aggregates game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Input: Play data, revenue data. Output: Aggregation and display of revenue data.

[1425] Step 19:

[1426] When a user reaches a certain level of earnings, they can withdraw funds from the dashboard. The server accepts the withdrawal request and transfers funds to the financial institution. Input: Withdrawal request data. Output: Transfer procedure.

[1427] (Application example 1)

[1428] 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."

[1429] Conventional game creation systems require specialized knowledge and skills, making it difficult for individuals to easily create, distribute, and monetize games. Furthermore, the process of previewing and modifying created games is complicated, and user-friendly interfaces are lacking. The present invention aims to solve these problems by providing a system that allows individuals to easily create, distribute, and effectively monetize high-quality games.

[1430] 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.

[1431] In this invention, the server includes means for automatically generating a game using a generating AI, means for a user to input game requirements, means for transmitting the input requirements to the generating AI, means for previewing the generated game, means for a user to input modifications based on the preview results, means for transmitting the modified requirements again to the generating AI, means for a user to input publication settings, means for transferring the game to a publication server and starting distribution based on the settings, means for aggregating and displaying revenue information, means for providing a smartphone application as a content distribution service, means for receiving and confirming user authentication information, and means for managing revenue information of published games in real time. This enables users to easily generate, distribute, and monetize games without specialized knowledge.

[1432] "Generative AI" refers to AI technology that automatically generates games based on requirements entered by the user.

[1433] "Game Requirements" refers to the various specifications and conditions necessary to generate a game, such as the game genre, characters, storyline, and graphics style.

[1434] "Public Server" refers to a server used on the Internet to provide generated games to players.

[1435] "Revenue information" refers to economic data obtained from games, such as generated game play data, advertising revenue, and game sales.

[1436] "Content distribution service" refers to a service that provides various digital contents to users via the Internet.

[1437] "Smartphone application" refers to software developed for the purpose of running on a smartphone.

[1438] "User Credentials" means information used to identify and authenticate a user, such as a username and password.

[1439] "Real-time management means" refers to technologies and methods that instantly process current situations and data and provide users with the latest information.

[1440] This invention provides a system that allows individuals to easily create, distribute, and monetize games using generative AI models. Below, we will explain how to specifically implement this invention.

[1441] First, users use a smartphone application. They log in to the application and input the game requirements (genre, characters, storyline, graphics style, etc.), which allows users to easily provide the necessary information for game creation.

[1442] The server receives the requirements entered by the user and sends them to the generative AI model. The generative AI model automatically generates a game based on these requirements. The generated game is temporarily saved on the server and a preview link is provided to the user. The generated game can be viewed by clicking this preview link.

[1443] Users can input corrections based on the preview of the game they have checked. The corrections are sent back to the server, which then sends them to the generative AI model to regenerate the game. This allows users to repeatedly make corrections and previews until they are satisfied with the game.

[1444] Once the game is complete, the user sets up the game for publication. They enter the publishing platform, release date, advertising settings, pricing, etc. Once these settings are complete, the server transfers the created game to the publishing server and begins distribution. Once the game is released, it can be played by users and general players.

[1445] In addition, the server manages revenue information for published games in real time and provides it to users. Users can check the revenue information within the application and can withdraw money when a certain amount is reached.

[1446] This system utilizes a lightweight web framework such as Flask, a generative AI model (e.g., OpenAI's GPT-4), and a database (SQLite or MySQL). The smartphone application runs on a combination of these technologies.

[1447] As a concrete example, if a user were to create a "horror game," they would send the following prompt to the generative AI model:

[1448] "The genre is horror, and the characters are 1. the protagonist, 2. ghosts, and 3. villagers. The storyline is an adventure to survive in a cursed village. It contains many scenes that will terrify the player with 2D graphics."

[1449] As described above, by implementing the present invention, a system can be realized that enables even individuals to easily create, distribute, and monetize high-quality games.

[1450] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1451] Step 1:

[1452] The user launches the smartphone application and accesses the login screen. They enter their username and password and send the authentication information to the server. The server compares the received username and password with the information in the database, and if authentication is successful, redirects the user to the dashboard screen.

[1453] Input: Username, Password

[1454] Data processing: Database collation

[1455] Output: Redirect to the dashboard screen

[1456] Step 2:

[1457] Users click the "Create a New Game" button on the dashboard to go to the new game creation screen, where they enter requirements such as the game genre, characters, storyline, and graphics style, and then send this to the server.

[1458] Input: Game genre, characters, storyline, graphics style

[1459] Data processing: Collecting user-input data

[1460] Output: Send requirements data

[1461] Step 3:

[1462] The server sends the received game requirements data to the generative AI model, which automatically generates a game based on the prompt and returns the results to the server.

[1463] Input: Game requirements data

[1464] Data processing: Game generation using generative AI

[1465] Output: Generated game data

[1466] Step 4:

[1467] The server temporarily stores the generated game data and generates a preview link, which is provided to the user, who can click the link to view the generated game.

[1468] Input: Generated game data

[1469] Data processing: Data saving, preview link generation

[1470] Output: Preview link

[1471] Step 5:

[1472] Users can check the game through the preview link and enter any corrections that need to be made in the feedback form, which is then sent to the server.

[1473] Input: Feedback on corrections

[1474] Data Processing: Collecting User Input

[1475] Output: Corrective feedback data

[1476] Step 6:

[1477] The server sends the corrective feedback data to the AI ​​model again, regenerates the game, saves the game data with the corrective changes reflected on the server, and provides a preview link to the user again.

[1478] Input: Corrective feedback data

[1479] Data processing: Regenerating games with generative AI

[1480] Output: Regenerated game data, preview link

[1481] Step 7:

[1482] Once a game that the user is satisfied with has been created, the user accesses the publishing settings screen and inputs the publishing platform, publication start date, advertising settings, pricing settings, etc., which are then sent to the server.

[1483] Input: Public setting data

[1484] Data Processing: Collecting User Input

[1485] Output: Sending public setting data

[1486] Step 8:

[1487] The server transfers the game to the public server based on the public setting data and starts distributing the game. Once the distribution of the game has started, it can be played by players.

[1488] Input: Public setting data

[1489] Data processing: Transfer of game data, distribution begins

[1490] Output: Published game

[1491] Step 9:

[1492] The server manages the play data and revenue information of published games in real time and displays it to users through a dashboard, where users can check their revenue information and make withdrawals as needed.

[1493] Input: Play data, revenue information

[1494] Data processing: Real-time management, dashboard display

[1495] Output: Display revenue information

[1496] 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.

[1497] The present invention provides a system that combines generative artificial intelligence and an emotion engine to enable even individuals to easily create, distribute, and monetize games. The following describes in detail the modes for carrying out the present invention.

[1498] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page, which provides the user with an interface for accessing their account and performing various operations.

[1499] Next, the user clicks the "Create a New Game" button on the dashboard to open a new game creation screen. Here, the user enters requirements such as the game genre, characters, storyline, and graphics style. These requirements are supported by a web form, a drag-and-drop interface, and an emotion engine that analyzes the user's facial expressions and voice. The emotion engine recognizes the user's emotional state from their facial expressions and tone of voice and incorporates that data into the game requirements.

[1500] When the user enters the requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI, which then automatically generates a game based on the requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[1501] The server provides the user with a preview link for the generated game, which the user clicks to view. The user previews various elements of the game and inputs corrections as necessary. The emotion engine then evaluates the user's emotional state at the time of preview and automatically generates suggestions for game corrections based on the results. For example, if the user feels excited or frustrated at a particular scene in the game, the engine analyzes that emotional data and suggests changes to the difficulty level or scene reconstruction.

[1502] When the user enters the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives the corrections and calls the generation AI again to regenerate the game. The regenerated game is again provided to the user as a preview link. This process is repeated until the user is satisfied.

[1503] Once the game is complete, the user accesses the "Publish Settings" screen and enters the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[1504] Once games are released, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can request a withdrawal.

[1505] As a concrete example, consider the case where User A is creating an action game. User A logs in and inputs the game genre as "action," the characters as "hero" and "enemy," the storyline as "adventure to save the world," and the graphics style as "2D pixel art." The generation AI generates the game based on these requirements and provides a preview link. User A then modifies the character design and scene layout based on the preview results, and finally sets the publishing settings and distributes the game. Meanwhile, the server compiles User A's revenue information and displays it on a dashboard.

[1506] In this way, the system of this invention provides an environment in which even individuals can easily create, distribute, and monetize high-quality games. Furthermore, the introduction of an emotion engine enables flexible game development and improvement according to the user's emotional state, further improving game quality and user experience.

[1507] The processing flow will be explained below.

[1508] Step 1:

[1509] The user launches a web browser on their device (PC, smartphone, etc.), accesses the platform's login page, enters their username and password, and clicks the "Login" button.

[1510] Step 2:

[1511] The server receives the user's authentication information and authenticates it against the database. If authentication is successful, it redirects the user to the dashboard page. If authentication fails, it displays an error message.

[1512] Step 3:

[1513] The user clicks the "Create a New Game" button on the dashboard to open the new game creation screen, where they input requirements such as the game genre (e.g., action), characters (e.g., hero and villain), storyline (e.g., an adventure to save the world), and graphics style (e.g., 2D pixel art).

[1514] Step 4:

[1515] The emotion engine analyzes the user's facial expressions and voice to obtain emotional data. For example, if a user uses a camera or microphone to input visual and audio information, the engine can determine the user's emotional state from their facial expressions and tone of voice.

[1516] Step 5:

[1517] The terminal transmits the game requirements input by the user and the emotion data obtained from the emotion engine to the server.

[1518] Step 6:

[1519] The server receives requirements and emotional data, which are then transferred to a generation AI, which then automatically generates the game. The generation AI then generates the game's logic, graphics, music, scene layout, etc. It is also possible to adjust the game's difficulty and storyline based on the emotional data.

[1520] Step 7:

[1521] The generated game is temporarily stored on the server and a preview link is generated, which the server provides to the user.

[1522] Step 8:

[1523] The user clicks the preview link to check the generated game. The user can preview various elements of the game (character design, scene placement, etc.) and enter any complaints or suggestions for improvement in the feedback form.

[1524] Step 9:

[1525] The emotion engine evaluates the user's emotional state in real time during preview and complements the user's feedback. For example, if the user is dissatisfied with a particular scene, the engine will analyze the user's emotional state and automatically suggest corresponding revisions.

[1526] Step 10:

[1527] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data and calls the generation AI again to regenerate the game. The regenerated game is again provided to the user as a preview link.

[1528] Step 11:

[1529] This process of revision and previewing is repeated until the user is finally satisfied.

[1530] Step 12:

[1531] Once the game is complete, the user accesses the "Release Settings" screen and enters the platform to release it on, the release start date, advertising settings, pricing settings, etc. These settings are saved on the server.

[1532] Step 13:

[1533] When the user clicks the "Publish" button, the server transfers the generated game files to the publishing server and begins distributing the game based on the settings.

[1534] Step 14:

[1535] Once games are available for distribution, they can be played by the general public. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides this information to users on a dashboard.

[1536] Step 15:

[1537] Users can access the dashboard to check their earnings information, and when their earnings reach a certain amount, they can withdraw their earnings.

[1538] Example 2

[1539] 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."

[1540] Conventional game development environments require advanced technical knowledge and specialized software, making it difficult for individuals to easily create high-quality electronic games. Furthermore, the game development process was unable to incorporate user emotions, limiting the improvement of user experience. Furthermore, modifying and publishing games was complicated, making it difficult to grasp monetization in real time.

[1541] 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.

[1542] In this invention, the server includes: means for automatically generating electronic games using a generating AI; means for a user to input requirements for the electronic game; means for transmitting the input requirements to the generating AI; means for previewing the generated electronic game; means for the user to input modifications based on the preview results; means including an emotion engine that analyzes the user's facial expressions and tone of voice to evaluate their emotional state; means for suggesting modifications based on the emotion engine's evaluation results; means for transmitting the modified requirements back to the generating AI; means for the user to input publishing settings; means for transferring the electronic game to a publishing server based on the settings and starting distribution; and means for aggregating and displaying revenue information. This allows users to easily create, modify, publish, and monetize high-quality electronic games without specialized technical knowledge. Furthermore, the use of the emotion engine enables flexible game design and improvement based on the user's emotional state, further improving the user experience.

[1543] "Generative AI" is an AI technology for automatically generating games and simulations based on user-provided requirements.

[1544] "Electronic games" refers to games and interactive simulations that run on computers or other devices and are entertained by users.

[1545] "User" refers to any individual or entity that uses the System to create, modify, publish, and monetize games.

[1546] "Requirements" refers to the information entered by a user to specify the game's components (genre, characters, storyline, graphics style, etc.).

[1547] An "emotion engine" is a technology that analyzes a user's facial expressions and tone of voice to assess their emotional state and uses the results to improve interactive applications.

[1548] A "public server" is a server that hosts generated game files and makes them publicly available and available for distribution via the Internet.

[1549] "Revenue information" refers to data related to the economic benefits users obtain from the system, such as game play data, advertising revenue, and game sales.

[1550] "Preview" is a feature that allows users to check an early version of the generated game and identify corrections if necessary.

[1551] "Modification Suggestion" refers to a specific change proposal that the user makes to provide a better gaming experience based on the emotion engine's evaluation results.

[1552] The present invention provides a system that combines generative artificial intelligence and an emotion engine to enable even individuals to easily create, distribute, and monetize electronic games. The embodiments of the present invention will be described in detail below.

[1553] First, a user accesses the platform using a web browser on a device (such as a PC or smartphone). The user enters their username and password on the login screen, and the server verifies this authentication information. If authentication is successful, the user is redirected to a dashboard page where they can perform various operations.

[1554] Next, the user clicks the "Create a New Game" button on the dashboard to open a new game creation screen. Here, the user enters requirements such as the electronic game genre, characters, storyline, and graphics style. These requirements are supported by a web form, a drag-and-drop interface, and an emotion engine that analyzes the user's facial expressions and voice. The emotion engine recognizes the user's emotional state from their facial expressions and tone of voice and incorporates that data into the game requirements.

[1555] For example, the requirements the user enters are:

[1556] Game genre: Action

[1557] Characters: Heroes and villains

[1558] Storyline: An adventure to save the world

[1559] Graphics Style: 2D pixel art

[1560] When the user enters their requirements and clicks the "Start Generation" button, the input data is sent from the device to the server. The server receives this data and forwards it to the generation AI model. The generation AI model automatically generates an electronic game based on the requirements. This generation process includes game logic, graphics, music, scene placement, etc. The generated game is temporarily saved on the server, and a preview link is generated.

[1561] The server provides the user with a preview link for the generated game. The user clicks on the link to view the generated game. The user previews various elements of the game and inputs corrections as necessary. The emotion engine evaluates the user's emotional state at the time of preview and automatically generates suggestions for game corrections based on the results. For example, if the user feels excited or frustrated at a particular scene in the game, the engine analyzes that emotional data and suggests changes to the difficulty level or scene reconstruction.

[1562] When the user inputs the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server receives this correction data and calls the generation AI again to regenerate the electronic game. The regenerated game is again provided to the user as a preview link. This process is repeated until the user is satisfied.

[1563] Once the electronic game is complete, the user accesses the "Publish Settings" screen and inputs the platform to publish on, the release date, advertising settings, pricing settings, etc. These settings are saved on the server. When the user clicks the "Publish" button, the server transfers the generated game file to the publishing server and begins distributing the game based on the settings.

[1564] Once the distribution of electronic games begins, they are played by users and general players. The server compiles game play data, advertising revenue, game sales, and other revenue data, and provides it to users on a dashboard. Users can check the revenue data and, when a certain amount is reached, can proceed with withdrawal.

[1565] Once the user confirms the earnings information and completes the withdrawal procedure, the creation, modification, publication, and monetization of electronic games using this system will be completed.

[1566] In this way, by using the system of the present invention, an environment is provided in which even individuals can easily create, distribute, and monetize high-quality electronic games. Furthermore, by introducing an emotion engine, it becomes possible to flexibly build and improve games according to the user's emotional state, further improving the quality of games and the user experience.

[1567] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1568] Step 1:

[1569] The user starts a web browser on the terminal and accesses the system's login page.

[1570] Specific action: The user enters the system's URL (e.g., www.example-game-platform.com) into the browser's URL bar.

[1571] Input: The URL entered in the browser's URL bar

[1572] Output: Login page displayed

[1573] Step 2:

[1574] The user enters their username and password on the login screen.

[1575] Specific action: The user enters a username and password into the form and clicks the "Login" button.

[1576] Input: Username and Password

[1577] Output: Sending authentication information

[1578] Step 3:

[1579] The server checks the entered authentication information against a database and performs authentication.

[1580] What happens: The server compares the username and password with the information retrieved from the database, and if successful, starts a session and returns a cookie to the user.

[1581] Input: Username and password (authentication information)

[1582] Output: Authentication success or failure response

[1583] Step 4:

[1584] After successful authentication, the server redirects the user to the dashboard page.

[1585] Specific operation: The server sends a response including the URL of the dashboard page to the user terminal.

[1586] Input: Authentication success response

[1587] Output: Dashboard page displayed

[1588] Step 5:

[1589] The user clicks the "Create a new game" button on the dashboard to open the new game creation screen.

[1590] What happens: The user finds the "Create a new game" button on the dashboard and clicks it.

[1591] Input: Dashboard page

[1592] Output: Display of "Create a new game" page

[1593] Step 6:

[1594] The user enters various requirements for the game on the new game creation screen.

[1595] What happens: The user enters the game genre, characters, storyline, graphics style, etc. using text input fields or drop-down menus.

[1596] Input: Game requirements (genre, characters, storyline, graphics style)

[1597] Output: Send game requirements data

[1598] Step 7:

[1599] The terminal assists user input with an emotion engine.

[1600] Specific operation: The emotion engine captures the user's facial expressions and voice through the webcam and microphone and analyzes the data in real time.

[1601] Input: User's facial expression data, voice tone data

[1602] Output: Emotional state evaluation result

[1603] Step 8:

[1604] When the user clicks the "Start Generation" button, the input data is sent from the terminal to the server.

[1605] Specific operation: The browser sends the generated data to the server as a POST request.

[1606] Input: Game requirements data, emotional evaluation data

[1607] Output: Send data to the server

[1608] Step 9:

[1609] The server sends input data to the generative artificial intelligence (AI).

[1610] Specific operation: The server makes an API request to the generated AI model and sends a request body containing the requirement data.

[1611] Input: Game requirements data, emotional evaluation data

[1612] Output: Sending a request to the generation AI

[1613] Step 10:

[1614] A generative AI generates the game.

[1615] Specific operation: The generative AI automatically generates game logic, graphics, music, scene placement, etc., and returns the results to the server.

[1616] Input: Game requirements data, emotional evaluation data

[1617] Output: Generated game data

[1618] Step 11:

[1619] The server provides the user with a preview link of the generated game.

[1620] What happens: The server displays a preview link on the user's dashboard.

[1621] Input: Generated game data

[1622] Output: Show preview link

[1623] Step 12:

[1624] User clicks on the preview link to see the game.

[1625] What happens: The user clicks on the preview link and the browser opens the game preview screen.

[1626] Input: Preview link

[1627] Output: Show game preview

[1628] Step 13:

[1629] The emotion engine analyzes the user's facial expressions and tone of voice and suggests modifications to the game.

[1630] Specific operation: The emotion engine captures real-time emotion data while the user is playing the game and displays the analysis results on a dashboard.

[1631] Input: User's facial expression data, voice tone data

[1632] Output: Show suggested fixes

[1633] Step 14:

[1634] The user inputs the corrections and clicks the "Reflect Corrections" button.

[1635] Specific actions: The user enters the corrections in the dashboard and clicks the "Apply corrections" button.

[1636] Input: Correction data

[1637] Output: Send corrected data to the server

[1638] Step 15:

[1639] The server sends the correction data to the generation AI, which then regenerates the game.

[1640] Specific operation: The server sends an API request to the generation AI again and sends a request body containing the corrected data.

[1641] Input: Correction data

[1642] Output: Send request to generation AI

[1643] Step 16:

[1644] The server provides the user with a preview link of the regenerated game.

[1645] What happens: The server displays a new preview link in the dashboard.

[1646] Input: Regenerated game data

[1647] Output: Show new preview link

[1648] Step 17:

[1649] The user enters the required information on the "Publication Settings" screen.

[1650] Specific operations: The user enters the publishing platform, publication start date, advertising settings, pricing settings, etc., and clicks the "Publish" button.

[1651] Input: Public setting data

[1652] Output: Send public setting data to the server

[1653] Step 18:

[1654] The server saves the publishing settings and transfers the game files to the publishing server.

[1655] What happens: The server saves these settings in a database and uploads the game files to the corresponding platform.

[1656] Input: Public setting data, game files

[1657] Output: Publish game files

[1658] Step 19:

[1659] The server compiles play data and revenue data and provides it to the user.

[1660] Specific operation: The server displays play data, advertising revenue, game sales, etc. on a dashboard.

[1661] Input: play data, advertising revenue data, game sales data

[1662] Output: Aggregating and displaying revenue data

[1663] Step 20:

[1664] The user checks the earnings data and performs the withdrawal procedure.

[1665] Specific operation: The user checks the earnings data, and if the withdrawal conditions are met, clicks the "Withdraw Earnings" button to complete the procedure.

[1666] Input: Revenue Data

[1667] Output: Withdrawal procedure completed

[1668] (Application example 2)

[1669] 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."

[1670] Conventional game creation systems require specialized knowledge and skills for users to create games from scratch and then distribute and monetize them, making them difficult for average users. Furthermore, they lacked the ability to adjust the game to reflect the user's emotional state, making it difficult to optimize the user experience. There is a need to solve these problems and provide a system that allows anyone to easily create, distribute, and monetize high-quality games.

[1671] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1672] In this invention, the server includes means for verifying user authentication information, means for automatically generating a game using a generating AI, means for the user to input game requirements, means for recognizing the user's emotional state from facial expressions and voice using an emotion engine and reflecting that data in the requirements, means for transmitting the input requirements to the generating AI, means for previewing the generated game, means for the user to input corrections based on the preview results, means for transmitting the corrected requirements again to the generating AI, means for the user to input public settings, means for transferring the game to a public server based on the settings and starting distribution, and means for aggregating and displaying revenue information. This enables the automatic generation of high-quality games, optimization of games according to the user's emotional state, and easy distribution and monetization.

[1673] "User authentication information" is information used to verify a user's identity, such as a user's login name and password.

[1674] "Generative AI" is an AI technology that automatically generates games based on requirements entered by the user.

[1675] "Game requirements" are information necessary to create a game, such as the game genre, characters, storyline, and graphics style.

[1676] The "emotion engine" is a system that recognizes the user's emotional state from their facial expressions and voice, and analyzes and utilizes that data.

[1677] The "emotional state" is an emotional state such as excitement, surprise, satisfaction, or dissatisfaction that can be recognized from the user's facial expression and tone of voice.

[1678] "Preview display" is a function that displays a part or the whole of the generated game in advance, allowing the user to check the content.

[1679] "Release Settings" is a function that allows you to select and set the release platform, release start date, advertising settings, pricing, etc. of the generated game.

[1680] A "public server" is a server infrastructure for distributing generated games.

[1681] "Revenue information" refers to revenue data related to the generated game, such as game sales, advertising revenue, and play data.

[1682] This invention is a system for distributing and monetizing games that are automatically generated based on user input game requirements. This system operates as follows, using hardware and software such as a server, user terminals, generative AI models, and emotion engines.

[1683] The server includes means for verifying user authentication information, means for automatically generating a game using a generating artificial intelligence, means for the user to input game requirements, means for recognizing the emotional state of the user from facial expressions and voice using an emotion engine and reflecting that data in the requirements, means for transmitting the input requirements to the generating artificial intelligence, means for displaying a preview of the generated game, means for the user to input corrections based on the preview results, means for transmitting the corrected requirements again to the generating artificial intelligence, means for the user to input public settings, means for transferring the game to a public server based on the settings and starting distribution, and means for aggregating and displaying revenue information.

[1684] A description of what the program does

[1685] A user accesses the system using a terminal (e.g., a smartphone) and logs in with a username and password. The server verifies the user authentication information, and if the user successfully logs in, they are redirected to the dashboard page.

[1686] On the dashboard page, users click the "Create New Game" button to open the new game creation screen, where they input the genre, characters, storyline, graphics style, etc. At this time, the emotion engine analyzes the user's emotional state from their facial expressions and tone of voice, and reflects the results in the game requirements.

[1687] When the user enters the requirements and clicks the "Start Generation" button, the data is sent to the server. The server receives the data and transfers it to the generative AI model. The generative AI model automatically generates a game based on the input requirements and emotional data and returns the results to the server. The generated game is temporarily saved on the server, and a preview link is generated.

[1688] The user can click the preview link to check the generated game and input any necessary corrections. The emotion engine also works during this process, analyzing the user's emotions and suggesting corrections to the game. For example, if the user is dissatisfied with a particular scene, the engine will suggest readjustments to that scene based on the user's emotional data.

[1689] When the user enters the corrections and clicks the "Apply Corrections" button, the correction data is sent to the server again. The server then sends this data to the generative AI model and regenerates the game. This allows the user to repeatedly preview and modify the game until they are satisfied.

[1690] Once the game is complete, the user accesses the "Publish Settings" page and enters the publishing platform, release date, advertising settings, pricing settings, etc. The server transfers the game files to the publishing server based on these settings and begins distributing the game. Once the game is distributed, it can be played by users and general players.

[1691] The server compiles revenue information such as game play data, advertising revenue, and game sales, and provides it to users on a dashboard. When a certain amount is reached, users can request a withdrawal.

[1692] Examples of specific examples and prompts

[1693] As a concrete example, consider a user creating a "Fantasy RPG." The user logs in and inputs the game genre as Fantasy RPG, the characters as heroes, wizards, and dragons, and the storyline as an adventure to save the kingdom. The emotion engine analyzes the user's emotional state and reflects it in the requirements.

[1694] Examples of prompts include:

[1695] Game genre: Fantasy RPG

[1696] Characters: Hero, Wizard, Dragon

[1697] Storyline: Adventure to save the kingdom

[1698] User facial expression: Smiling

[1699] User Voice Tone: Excited

[1700] In this way, by implementing the present invention, a system is provided that allows anyone to easily create, distribute, and monetize high-quality games.

[1701] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1702] Step 1:

[1703] The user accesses the system from a device (e.g., a smartphone) and enters their username and password. The server receives this and authenticates them by checking it against the database.

[1704] Input: Username, Password

[1705] Output: Authentication result (success / failure)

[1706] The server verifies the user credentials and redirects them to the dashboard page if authentication is successful.

[1707] Step 2:

[1708] The user clicks the "Create a New Game" button on the dashboard page. The new game creation screen appears, and the user inputs the game genre, characters, storyline, and graphics style. The emotion engine analyzes the user's camera footage and microphone audio to recognize the user's emotional state.

[1709] Input: Game requirements (genre, characters, storyline, graphics), user facial expressions and voice

[1710] Output: Emotion data

[1711] The terminal uses an emotion engine to recognize the user's emotional state from their facial expressions and voice, and sends the data to the server to be reflected in the game requirements.

[1712] Step 3:

[1713] After the user inputs the game requirements and emotion data, they click the "Start Generation" button. The input data is sent to the server, which then transfers it to the generative AI model.

[1714] Input: Game requirements, emotion data

[1715] Output: Auto-generated game data

[1716] The server sends data to a generative AI model, which then automatically generates a game based on the requirements and emotional data and returns the results to the server.

[1717] Step 4:

[1718] The generated game is temporarily saved on the server and a preview link is generated, which the user can click to check the generated game.

[1719] Input: Auto-generated game data

[1720] Output: Preview link

[1721] The server provides a preview link that the user clicks to view the game.

[1722] Step 5:

[1723] The user inputs corrections based on the preview results. The emotion engine runs again, analyzes the user's emotional state, and suggests modifications to the game. The input data is again sent to the server.

[1724] Input: corrections, user facial expressions and voice

[1725] Output: Correction suggestions, correction data

[1726] The device sends corrections and emotional data to the server, which then transfers the data to the generative AI model to regenerate the game.

[1727] Step 6:

[1728] After the user completes the edits and makes a final confirmation, they access the "Publishing Settings" page, where they enter the publishing platform, publishing start date, advertising settings, and pricing settings.

[1729] Input: Public setting information

[1730] Output: Ready to publish notification

[1731] The server receives the publishing setting information and prepares to transfer the game files to the publishing server.

[1732] Step 7:

[1733] When the user clicks the "Publish" button, the server transfers the game files to the publishing server and begins distribution.

[1734] Input: Public Directive

[1735] Output: Game launch

[1736] The server will begin streaming the game based on the settings, and the game will be made available to general players.

[1737] Step 8:

[1738] The server compiles revenue information such as game play data, advertising revenue, and game sales, and provides it to users on a dashboard.

[1739] Input: Gameplay data, advertising revenue data, sales data

[1740] Output: Revenue information

[1741] The server aggregates the revenue information and displays it for the user to view on a dashboard.

[1742] 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.

[1743] 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.

[1744] 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.

[1745] 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.

[1746] 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.

[1747] 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.

[1748] 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).

[1749] 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.

[1750] 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."

[1751] 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.

[1752] 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).

[1753] 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.

[1754] 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.

[1755] 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.

[1756] 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.

[1757] 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.

[1758] 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.

[1759] 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.

[1760] 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.

[1761] 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.

[1762] 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.

[1763] The following is further disclosed regarding the above embodiment.

[1764] (Claim 1)

[1765] A means for automatically generating games using generative artificial intelligence;

[1766] a means for a user to input game requirements;

[1767] A means for transmitting the input requirements to the generating artificial intelligence;

[1768] a means for previewing the generated game;

[1769] A means for the user to input corrections based on the preview results;

[1770] A means for transmitting the modified requirements to the generating artificial intelligence again;

[1771] A means for a user to input public settings;

[1772] A means for transferring the game to a public server based on the settings and starting distribution;

[1773] A system including a means ...

Claims

1. A means for automatically generating games using generative artificial intelligence; a means for a user to input game requirements; A means for transmitting the input requirements to the generating artificial intelligence; a means for previewing the generated game; A means for the user to input corrections based on the preview results; A means for transmitting the modified requirements to the generating artificial intelligence again; A means for a user to input public settings; A means for transferring the game to a public server based on the settings and starting distribution; A system including a means for aggregating and displaying revenue information.

2. 10. The system of claim 1, further comprising means for temporarily saving the generated game and providing a preview link to the user.

3. 10. The system of claim 1, further comprising means for receiving modification data from a user and regenerating the game using a regenerative artificial intelligence.

Images