system

Abstract

We provide the system. [Solution] A means for receiving user input and automatically generating narrative components based on said input, A means for automatically generating character characteristics based on the constituent elements of the generated story, A means for automatically generating rules and behavioral patterns based on the characteristics of the generated characters, A means for automatically generating executable scripts based on the said rules and behavioral patterns, A means for automatically generating sounds suitable for the story and its characters, A means for receiving user ratings for each generated piece of content and adjusting the output results based on those ratings, A system that includes this.

Description

Technical Field

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

Background Art

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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Game development requires many steps, specialized knowledge and techniques, as well as time and cost, which is a heavy burden for beginners and small development teams. In addition, elements required in each step, such as story construction, character design, game mechanics, code generation, music and sound generation, etc., require advanced skills, so a method for performing these efficiently is required.

Means for Solving the Problems

[0005] This invention significantly reduces the user's burden by automatically generating story elements using generative AI based on user input, and further automatically generating character characteristics based on the generated story. In addition, it provides a means to automatically generate game rules and action patterns from character characteristics and generate an executable script based on these. Furthermore, by automatically generating music and sound, it adds sound effects that match the atmosphere, and by receiving user evaluations as feedback and adjusting the generated products, it enables even beginners and small teams to efficiently develop high-quality games.

[0006] "User input" refers to information that users provide to the system in the form of text or other formats, such as game concepts and ideas.

[0007] "Story elements" refer to the basic elements that make up a story, such as the plot, scenes, and character roles related to the game's storyline.

[0008] "Character characteristics" refer to the features that define a character in a game, such as their appearance, personality, and abilities.

[0009] "Rules and behavioral patterns" refer to the rules and patterns that govern the progression of the game and the movement of the characters, and are a core element of game mechanics.

[0010] An "executable script" refers to server-generated code that is part of the program necessary for the game to function correctly.

[0011] "Sound" refers to auditory elements used in games, such as music and sound effects, and is used to create the atmosphere of the game.

[0012] "User ratings" refer to user reactions and feedback on generated game content, and this information is used to improve future game content. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0014] An example of an embodiment of the system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0016] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0019] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

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

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention begins with the user inputting a game idea into a terminal. The user inputs information including a specific story, game theme, and character settings. When the user's input sent to the terminal reaches the server, the server uses a generative AI model to automatically generate the constituent elements of the story.

[0035] The server then uses the generated story to define the characteristics of the characters. In this process, the characters' appearances, personalities, and abilities are automatically determined. The server then takes these character characteristics into account when forming the game's rules and behavioral patterns. This includes elements that influence player control and game progression.

[0036] Furthermore, the server uses a code generation engine to automatically generate executable scripts based on the generated rules and behavioral patterns. This completes the program necessary for the game to actually run. The server then uses an AI model to create sound to enhance the game's atmosphere and integrates music and sound effects into the game system.

[0037] After receiving these automatically generated elements, users provide feedback to the server via their device. This feedback is crucial in the process of improving the output, and the server adjusts the parameters of the generating AI based on the received evaluation, improving each component as needed. In this way, even beginners and small development teams can efficiently develop high-quality games.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The user uses their device to input basic concepts such as the game's theme, story, and characters, and then sends them to the server.

[0041] Step 2:

[0042] The server analyzes the user's input and uses a generative AI model to automatically generate story elements based on the input information. These elements include the story's plot, setting, and key points.

[0043] Step 3:

[0044] The server automatically generates character characteristics based on the generated story elements. Here, the character's appearance, personality, and background are determined, and character design is carried out based on these.

[0045] Step 4:

[0046] The server automatically generates game rules and action patterns based on the characteristics of the characters, while taking various game mechanics into consideration. In this step, the interaction and player control methods, which are appropriate for the game genre, are also specified.

[0047] Step 5:

[0048] The server generates executable script code based on the rules and behavior patterns generated in the previous step. This enables the implementation of basic game logic and character behavior control.

[0049] Step 6:

[0050] The server automatically generates music and sound effects that match the overall atmosphere of the game using AI, creating the game's soundtrack. The generated sounds are then appropriately placed to enrich the gaming experience.

[0051] Step 7:

[0052] Users play a game prototype generated through their device and then provide evaluations and feedback on its content to the server.

[0053] Step 8:

[0054] The server analyzes the user feedback it receives and, if necessary, regenerates the output of the AI ​​to adjust and improve it. This step optimizes the content to reflect the user's needs.

[0055] (Example 1)

[0056] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0057] Traditional game development has faced challenges such as the significant time and effort required for structuring the story, designing characters, and formulating game rules, as well as the difficulty in maintaining consistency between different elements. This has made it particularly difficult for small development teams or inexperienced developers to efficiently develop games while maintaining overall quality. Therefore, this invention aims to solve these problems.

[0058] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0059] In this invention, the server includes means for receiving user input and automatically generating conceptual components based on said input, means for automatically generating role characteristics based on the generated conceptual components, and means for automatically generating rules and behavioral patterns based on the generated role characteristics. This enables the rapid and efficient materialization of user ideas and the development of high-quality games while maintaining consistency between each element.

[0060] A "user" refers to someone who uses the system to input and evaluate new content ideas.

[0061] "Input" refers to information that users provide to the system through their device, such as concepts, stories, and character settings.

[0062] "Concept" refers to the basic framework of a story or game that is generated based on information entered by the user.

[0063] "Component elements" refer to the fundamental elements necessary for the development of a story or game, such as the plot progression and the roles of the characters.

[0064] "Role" refers to the specific function or characteristics of a character or element within a story or game.

[0065] "Characteristics" refer to features such as appearance, nature, and abilities associated with a role.

[0066] "Rules" refer to the rules regarding gameplay and progression within the game.

[0067] "Action patterns" refer to the regularity of a character's actions or the behavior of in-game systems.

[0068] A "procedure" refers to an operable program or code designed to achieve a specific purpose.

[0069] "Evaluation" refers to user feedback and opinions on the generated content, and system improvements are made based on this feedback.

[0070] "Sound" refers to auditory elements in games, such as music and sound effects.

[0071] This invention begins with the user inputting a game idea. The user uses a terminal to input details such as the story theme, character settings, and game mechanics. The terminal is provided with a dedicated interface, allowing the user to input information in text format. For example, the user might input an idea such as, "An adventure RPG set in a medieval fantasy world, where the player becomes a knight who confronts dragons."

[0072] The input information is sent from the terminal to the server. The server receives this information and uses a generative AI model to materialize the user's idea. A large-scale language model specialized in string generation is used as the generative AI model. The server provides the user's input to this generative AI model as a prompt. An example of a prompt is, "Please create a medieval fantasy adventure story."

[0073] The server automatically generates character traits based on the narrative elements created by the generative AI model. Here, specific attributes such as character appearance, personality, and abilities are clarified. Based on these generated traits, the server further forms the game's rules and behavior patterns. At this stage, elements such as how the player controls the characters and how the game unfolds are concretized.

[0074] Next, the server uses a code generation engine to automatically generate executable scripts based on the generated rules and behavioral patterns. These scripts are designed for game engines such as Unity and Unreal Engine. This creates the foundation for the story and characters to function as an actual game.

[0075] Finally, the server uses a generative AI model to generate sounds that enhance the game's atmosphere and integrate them into the sound system. Sounds such as medieval-style symphonic music and dragon roars are generated, contributing to the immersive experience of the game.

[0076] Users receive these automatically generated game elements, play them, and then provide feedback to the server via their device. This feedback is used to improve the system, enabling the delivery of high-quality content that meets user expectations once again.

[0077] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0078] Step 1:

[0079] The user uses a terminal to input game ideas. Here, the user fills in details such as the story theme, character settings, and game mechanics using the terminal's input interface. For example, they might enter a theme such as "a sci-fi action game set in a futuristic city." The entered data is sent to the server as structured data, such as in JSON format.

[0080] Input: User's game idea

[0081] Output: Structured data from terminal to server

[0082] Step 2:

[0083] The server receives data from the terminal and constructs prompts for the generating AI model. Specifically, it analyzes the user's input data to generate prompts that are easy for the generating AI model to understand. A prompt such as "Create a story set in a futuristic city" is used. The server sends these prompts to the generating AI model, which then generates elements of the story.

[0084] Input: Structured data from the device

[0085] Output: Prompts for the generated AI model

[0086] Step 3:

[0087] The generative AI model automatically generates story elements based on prompts received from the server. These include the story's plot, key scenes, and backstory. The generated story elements are returned to the server, which then stores them.

[0088] Input: Prompt message

[0089] Output: Components of a story

[0090] Step 4:

[0091] The server analyzes the generated story elements and automatically generates character traits. Here, the character's appearance, personality, and abilities are automatically determined. For example, a character setting such as "a highly intelligent detective in a futuristic city" is generated.

[0092] Input: Story elements

[0093] Output: Character characteristics

[0094] Step 5:

[0095] The server forms the game's rules and behavior patterns based on the characteristics of the generated characters. Specifically, it automatically generates player controls and character behavior rules, and verifies them through simulation.

[0096] Input: Character characteristics

[0097] Output: Game rules and behavior patterns

[0098] Step 6:

[0099] The server uses a code generation engine to automatically generate executable steps based on the generated rules and behavioral patterns. These steps are output in script format, making them executable within game engines such as Unity and Unreal Engine.

[0100] Input: Game rules and behavior patterns

[0101] Output: Executable steps (script)

[0102] Step 7:

[0103] The server uses a generative AI model to generate sound to enhance the game's atmosphere and integrates it into the game system. Medieval-style symphonic music and captivating sound effects are automatically generated.

[0104] Input: Game elements including story and characters

[0105] Output: Audio

[0106] Step 8:

[0107] The user receives game elements generated through their device and plays them. After playing, they send feedback from their device to the server. The server uses this feedback to adjust the generated AI model and improve each component.

[0108] Input: Generated game elements

[0109] Output: User feedback

[0110] (Application Example 1)

[0111] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0112] In the modern era, creating game content by individuals or small development groups faces high technical hurdles, making it difficult for users without specialized skills. Furthermore, the real-time generation process required to provide interactive experiences is challenging, limiting rapid development cycles and intuitive user creativity. There is a need to solve these problems and create an environment where users can easily provide valuable gaming experiences.

[0113] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0114] In this invention, the server includes means for receiving user input and automatically generating story elements based on said input; means for automatically generating character characteristics based on the generated story elements; means for automatically generating rules and behavior patterns based on the generated character characteristics; means for automatically generating executable commands based on the rules and behavior patterns; means for automatically generating sounds suitable for the story and characters; means for receiving user evaluations of each generated piece of content and adjusting the output results based on said evaluations; and means for recognizing user voice input and generating game content in real time using a generation AI. This makes it possible to create and experience advanced game content in an intuitive way without requiring specialized skills.

[0115] "User input" refers to voice and text information provided by the user via their device, including story ideas, themes, and character settings related to the game's concept.

[0116] "Story elements" refer to the basic structural components related to the story, including the plot, theme, and the order in which the scenario progresses.

[0117] "Character characteristics" refer to individual traits of a character, such as their appearance, personality, and abilities.

[0118] "Rules" refer to the rules or guidelines that influence player behavior within a game.

[0119] An "action pattern" refers to a series of actions or reactions that a game character or object should take.

[0120] "Executable instructions" refer to the program code or scripts that actually make the generated game structure work.

[0121] "Sound" refers to auditory elements such as music and sound effects used to enrich the gaming experience.

[0122] "Generative AI" refers to a system that uses artificial intelligence technology to automatically generate new content based on data.

[0123] "Real-time generation" refers to the process of creating new content in response to user input and providing it on the spot.

[0124] "User ratings" refer to feedback from users regarding the generated game content, including information such as satisfaction levels and areas for improvement.

[0125] This invention is a system in which a user inputs a game idea, and based on that idea, advanced game content is generated. The system consists of the user's terminal and a server in the cloud. User input is sent from the terminal to the server as voice or text, and the server processes this to generate game content.

[0126] The server uses speech recognition technology to convert the user's voice input into text data. Specifically, it uses a speech recognition library to process the voice input. The converted input data is then used with a generative AI to automatically generate story elements, determining character characteristics, rules, and behavior patterns.

[0127] The generation AI generates content using a specified prompt. This prompt includes background information for a story based on the user's idea. One example is: "Generate a story, character settings, and rules from a game idea: Dragon slaying in an ancient castle."

[0128] The generated content includes music and sound effects to provide a comprehensive gaming experience that incorporates audio elements. This allows users to enjoy an immersive gaming experience that appeals to both their visual and auditory senses.

[0129] The user's evaluation of the game is fed back to the server via the device. Based on these evaluations, the server adjusts the parameters of the generative AI model to improve the content. The hardware used consists of a microphone to capture the user's voice and a display to show the generated content, while the software consists of a speech recognition library and a generative AI coding engine.

[0130] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0131] Step 1:

[0132] Users input game ideas via voice through their devices. This input includes the game's story, character settings, and theme.

[0133] Step 2:

[0134] The device converts the voice input into a digital signal, and then uses a speech recognition library to convert this into text data. The input is voice data, and the output is text data.

[0135] Step 3:

[0136] The server analyzes the received text data and generates prompt sentences for the AI ​​model. These prompt sentences include background information about the game based on the user's ideas. The input is text data, and the output is prompt sentences.

[0137] Step 4:

[0138] The server uses an AI model to automatically generate story elements, character traits, rules, and behavior patterns based on prompt text. The input is prompt text, and the output is various game content elements.

[0139] Step 5:

[0140] The server generates music and sound effects suitable for the automatically generated game content. This includes sound elements that correspond to the theme of the generated story and the actions of the characters. The input is the game content elements, and the output is music and sound effects.

[0141] Step 6:

[0142] The device integrates the generated game content and audio, presenting it to the user in real time, audiovisually and audibly. The input is game content and audio data, and the output is the game the user experiences.

[0143] Step 7:

[0144] Users provide feedback via their devices after experiencing the game. This feedback includes user satisfaction and areas for improvement.

[0145] Step 8:

[0146] The server adjusts the parameters of the generated AI model based on the feedback it receives, improving the game content as needed. The input is user feedback, and the output is information for adjustments to be made for the next content generation.

[0147] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0148] This invention begins with the user inputting the basic concept of the game via a terminal. This input includes the game's theme, story, and characters. The terminal sends the user input to a server, which receives and analyzes it, then uses a generative AI model to automatically generate the narrative components.

[0149] Furthermore, the server generates character traits. This process considers not only personality and appearance, but also emotional information related to the user's input data. The emotion engine analyzes user input and responses to recognize the user's emotional state. Based on the emotions recognized by the emotion engine, the story and character traits can be dynamically customized. For example, if the user prefers tension, the story will become more thrilling, and the characters' personalities and backgrounds will be adjusted accordingly.

[0150] Next, the server automatically generates game rules and action patterns from the characteristics of the generated characters. This process takes into account the playability of the player character and important elements of game progression. The action patterns can also be fine-tuned based on the user's emotional state as indicated by the emotion engine.

[0151] The server then generates executable scripts based on these elements, creating the basic operating environment for the game. In addition, sound effects, music, and audio are automatically generated using AI to enhance the game's atmosphere.

[0152] Users play a prototype of this game through their devices and send feedback and ratings to the server. The server analyzes this feedback, re-evaluates the user's emotions through an emotion engine, and regenerates or adjusts elements of the game as needed to provide the user with the best possible experience. This system allows even beginners and small development teams to efficiently develop high-quality, personalized games based on user emotions.

[0153] The following describes the processing flow.

[0154] Step 1:

[0155] The user inputs the basic concept of the game and desired elements through their device and sends this information to the server.

[0156] Step 2:

[0157] The server analyzes the user's input and uses a generative AI model to automatically generate the story's components. At this stage, the story's plot and progression are determined.

[0158] Step 3:

[0159] The server then automatically generates character traits based on the generated story. This is where the characters' appearances, personalities, and backgrounds are given concrete details.

[0160] Step 4:

[0161] The server utilizes an emotion engine to analyze the user's past response data and the nuances of their current input to recognize their emotional state. Based on this information, the story and characters are adjusted to match the user's emotions.

[0162] Step 5:

[0163] The server generates game rules and behavior patterns based on the characteristics of the characters and the user's emotional state. This step takes into account the player interaction in the game.

[0164] Step 6:

[0165] Based on the generated rules and behavioral patterns, the server automatically generates executable scripts. This creates the program that enables the basic functions of the game.

[0166] Step 7:

[0167] The server uses a generation AI to automatically generate in-game music and sound effects in a style that suits the user's emotions, creating a suitable sound environment.

[0168] Step 8:

[0169] Users play a prototype of the game on their devices and provide feedback. This feedback is crucial information for improving the gameplay experience.

[0170] Step 9:

[0171] The server analyzes user feedback, uses an emotion engine to recognize the user's new emotional states, and optimizes the generated content. This adjusts the game experience to be more suitable for the user.

[0172] (Example 2)

[0173] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0174] In game development, creating a game experience optimized for individual user emotions and preferences is difficult for beginners and small development teams. With traditional technologies, customizing stories and characters based on user input is cumbersome, and adjusting rules and behavior patterns is not easy. This leads to increased development costs and makes efficient game development difficult.

[0175] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0176] In this invention, the server includes means for receiving user input and automatically generating story elements based on said input, means for automatically generating rules and behavioral patterns based on the characteristics of the generated characters and the user's emotional information, and means for receiving the user's evaluation of each generated piece of content and readjusting the output results based on the emotional state. This makes it possible to efficiently generate a personalized game experience that reflects the user's emotions and preferences, and to provide a high-quality game while keeping development costs down.

[0177] "User input" refers to information about the game's concept, theme, story, and characters provided by the user via their device.

[0178] "Story elements" refer to the structure and scenario of a story generated based on user input, and form the game's storyline.

[0179] "Characteristics of the characters" refers to the personality, appearance, and role of characters who play an important role in the story, and is linked to the elements of the generated narrative.

[0180] "User emotional information" refers to data that analyzes the emotional state obtained from user input and responses, and is used to customize stories and characters.

[0181] "Rules and behavior patterns" refer to in-game behaviors and progression conditions defined based on the characteristics of the generated characters and the user's emotional information, and they define the controls for gameplay.

[0182] An "executable script" is code generated based on rules and behavioral patterns, and is executed to control the basic operation of the game.

[0183] "Audio content" refers to music and sound effects that are appropriate for the story and characters, and is automatically generated using AI, enriching the atmosphere of the game experience.

[0184] "User ratings" refer to the feedback and opinions that users give about the generated game content, and are important data used for future generation and adjustments.

[0185] "Re-adjusting output results based on emotional state" is a process that regenerates or adjusts game elements based on user evaluations and emotional information to provide the user with the optimal gaming experience.

[0186] This invention is a system in which a user inputs the basic concept of a game via a terminal, and a server automatically generates the game based on that data. Specifically, the user uses the terminal's interface to input information about the game's theme, story outline, and characters. For example, the user can input text such as, "I want to go on an adventure exploring a forest. The characters will be a brave knight and a wise witch. Please consider the user's comfort in the story."

[0187] The terminal sends the user's input information to the server. The server analyzes the received data and automatically generates story elements using a generative AI model. The generative AI model employs natural language processing technology. This generates constituent elements based on the input theme and story.

[0188] Next, the server generates character traits based on the story elements. This process again utilizes a generative AI model, automatically determining the character's appearance, personality, and abilities. An emotion engine is also used, taking the user's emotional state into account. This allows the character to be customized according to the user's preferences.

[0189] Furthermore, the server automatically generates game rules and action patterns based on the characteristics of the generated characters and the user's emotional information. These generated rules and patterns are crucial elements in the game's progression and serve as the basis for determining its playability.

[0190] The server then generates executable scripts and sets up the basic operating environment for the game. During this process, a generation AI is used to automatically generate sound content (music and sound effects) to enhance the game's atmosphere.

[0191] Users can play a prototype of the game generated using their device. After playing, users send feedback to the server via their device. The server analyzes this feedback and, if necessary, uses an emotion engine to readjust various elements of the game. Ultimately, the optimal gaming experience for the user is provided.

[0192] This system allows users to efficiently generate personalized games tailored to their individual emotions and preferences, making high-quality game development effective and easy, especially for beginners and small development teams.

[0193] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0194] Step 1:

[0195] The user inputs the game's basic concept through their device. Specifically, they input the game's theme, story outline, and characters in text format. This allows the user's desired game elements to be passed to the device as input data.

[0196] Step 2:

[0197] The terminal sends the user's input data to the server. At this time, the input data is formatted into a data package to ensure it reaches the server accurately. The server receives this data and prepares it for the next analysis process.

[0198] Step 3:

[0199] The server analyzes the received data and automatically generates story elements using a generative AI model. This process uses natural language processing to analyze text data and outputs a storyline based on the user's requested concept. For example, based on prompt sentences, the main events and settings of the story are generated.

[0200] Step 4:

[0201] The server uses a generative AI model to generate character traits based on elements of the story. Here, the character's appearance, personality, and role are determined, and an emotion engine is used to adjust them to the user's emotional state. This results in customized character information being output.

[0202] Step 5:

[0203] The server automatically generates game rules and behavior patterns, taking into account the characteristics of the generated characters and the user's emotional information. This step defines how each character is controlled and the flow of game progression. These elements are combined and output as foundational information for gameplay.

[0204] Step 6:

[0205] The server generates executable scripts based on rules and behavioral patterns. These generated scripts control the game's basic operations and are used to build the operating environment. This output can be directly executed as a game prototype.

[0206] Step 7:

[0207] The server automatically generates audio content using a generation AI. Music and sound effects appropriate to the story and characters are generated, enhancing the game's atmosphere. This audio data is also output as part of the game.

[0208] Step 8:

[0209] Users play a prototype of the generated game using their devices. Feedback from this stage is sent from the device to the server. This allows for the collection of user evaluations and impressions of the game experience.

[0210] Step 9:

[0211] The server analyzes the collected feedback and uses an emotion engine to readjust each element of the game as needed. It fine-tunes the output to provide an optimized gaming experience and delivers a version optimized for the user.

[0212] (Application Example 2)

[0213] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0214] In virtual environments, it is challenging to appropriately adjust the environment according to individual user preferences and themes, thereby providing a personalized experience. In particular, being able to reflect the atmosphere and interaction elements desired by users in real time can significantly improve the user experience. There is a need for systems that can meet these requirements.

[0215] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0216] In this invention, the server includes means for receiving user input and automatically generating narrative elements, means for automatically generating character characteristics based on the generated narrative elements, and means for analyzing the user's themes and preferences and dynamically adjusting the atmosphere and interaction elements of the virtual environment. This makes it possible to provide a virtual experience optimized for each individual user.

[0217] "User input" refers to information that the user provides to the system, specifying elements related to the story, characters, or virtual environment.

[0218] "Means for automatically generating narrative components" refers to a function that automatically creates the specific plot development and scenario of a story based on user input.

[0219] "Methods for automatically generating character characteristics" refer to systems that automatically generate characteristics such as the appearance, personality, and abilities of characters appearing in a story.

[0220] "Means for automatically generating rules and behavioral patterns" refers to a function that automatically designs the behavioral principles and operating methods of the story, the characters within the game, and the overall system, based on the characteristics of the generated characters.

[0221] "Means for automatically generating executable scripts" refers to a function that automatically creates program code for the system to operate based on the generated rules and behavioral patterns.

[0222] "Means for automatically generating sound" refers to a system that automatically creates music and sound effects suitable for the story and characters.

[0223] "Means for receiving user evaluations and adjusting output results" refers to a function that receives feedback information from users, adjusts the generated content based on that feedback, and provides more appropriate results.

[0224] "Means for analyzing user themes and preferences and dynamically adjusting the atmosphere and interaction elements of the virtual environment" refers to a function that analyzes the themes and preferences of the user, adjusts the visual and operational elements within the virtual environment in real time, and provides a different experience for each user.

[0225] In the system for implementing this invention, a server plays a central role. Users input information about their concepts and preferences using smartphones or other devices. This collected information is transmitted to the server via the network. The server analyzes the input data and automatically generates narrative and character components using a generative AI model.

[0226] Specifically, the server analyzes the user's theme, story, and character settings, and designs a narrative structure that suits them. Furthermore, it automatically generates characteristics such as the appearance, personality, and abilities of the characters. This results in a world view and character settings that reflect the user's preferences.

[0227] Next, the server designs rules and behavior patterns based on the characteristics of the generated characters. This design includes how characters behave under specific conditions and the operating principles of the entire system. Based on these, the server automatically generates executable scripts to ensure that the story and game content run smoothly.

[0228] Furthermore, the server automatically generates sound elements such as music and sound effects. By generating sounds that match the atmosphere and theme specified by the user, it makes the virtual environment more interactive and immersive. It also receives feedback on how the user evaluates the experience and fine-tunes the output as needed.

[0229] As a concrete example, if a user enters a prompt such as, "Please create a virtual shop with relaxing classical music playing. The customer service character should speak in a gentle manner," the system will analyze this and build the virtual environment based on the characteristics of the corresponding music and character.

[0230] This system utilizes technologies such as generative AI models and emotion analysis engines to design and deliver optimal virtual experiences tailored to the individual needs of each user.

[0231] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0232] Step 1:

[0233] The user inputs information about the theme, story, and characters through the terminal. This becomes a prompt message to the system, and the terminal sends this input data to the server. Since the input includes the user's preferences and expectations, the prompt message is the starting point for system processing.

[0234] Step 2:

[0235] The server analyzes the received prompt text and automatically generates narrative components using a generative AI model. The input here is the user's prompt text; the server analyzes the data and designs a hypothetical narrative structure. The result of this process is an outline of the story.

[0236] Step 3:

[0237] The server automatically generates character traits based on the story's constituent elements. The input is the story outline obtained in step 2, and the server uses this to design the characters' appearances, personalities, and abilities, outputting specific character settings.

[0238] Step 4:

[0239] The server uses the characteristics of the generated characters as input data to automatically generate rules and behavior patterns. Here, the principles of character behavior and dynamic elements in the story progression are designed, and elements to enhance playability are output.

[0240] Step 5:

[0241] The server automatically generates executable scripts based on the generated rules and behavioral patterns. In this step, the output from step 4 is used to create and output the program code necessary for the story or game to function.

[0242] Step 6:

[0243] The server automatically generates sound elements such as music and sound effects based on the theme included in the user's prompt text. The server analyzes the user's input, uses a generation AI model to generate sounds that match the atmosphere, and outputs the musical elements of the virtual environment.

[0244] Step 7:

[0245] Users evaluate the virtual experience generated through their device and send feedback to the server. The server analyzes this feedback and readjusts the generated elements as needed, thereby providing a virtual environment that meets the user's expectations.

[0246] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0247] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0248] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0249] [Second Embodiment]

[0250] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0251] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0252] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0253] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0254] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0255] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0256] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0257] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0258] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0259] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0260] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0261] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0262] This invention begins with the user inputting a game idea into a terminal. The user inputs information including a specific story, game theme, and character settings. When the user's input sent to the terminal reaches the server, the server uses a generative AI model to automatically generate the constituent elements of the story.

[0263] The server then uses the generated story to define the characteristics of the characters. In this process, the characters' appearances, personalities, and abilities are automatically determined. The server then takes these character characteristics into account when forming the game's rules and behavioral patterns. This includes elements that influence player control and game progression.

[0264] Furthermore, the server uses a code generation engine to automatically generate executable scripts based on the generated rules and behavioral patterns. This completes the program necessary for the game to actually run. The server then uses an AI model to create sound to enhance the game's atmosphere and integrates music and sound effects into the game system.

[0265] After receiving these automatically generated elements, users provide feedback to the server via their device. This feedback is crucial in the process of improving the output, and the server adjusts the parameters of the generating AI based on the received evaluation, improving each component as needed. In this way, even beginners and small development teams can efficiently develop high-quality games.

[0266] The following describes the processing flow.

[0267] Step 1:

[0268] The user uses their device to input basic concepts such as the game's theme, story, and characters, and then sends them to the server.

[0269] Step 2:

[0270] The server analyzes the user's input and uses a generative AI model to automatically generate story elements based on the input information. These elements include the story's plot, setting, and key points.

[0271] Step 3:

[0272] The server automatically generates character characteristics based on the generated story elements. Here, the character's appearance, personality, and background are determined, and character design is carried out based on these.

[0273] Step 4:

[0274] The server automatically generates game rules and action patterns based on the characteristics of the characters, while taking various game mechanics into consideration. In this step, the interaction and player control methods, which are appropriate for the game genre, are also specified.

[0275] Step 5:

[0276] The server generates executable script code based on the rules and behavior patterns generated in the previous step. This enables the implementation of basic game logic and character behavior control.

[0277] Step 6:

[0278] The server automatically generates music and sound effects that match the overall atmosphere of the game using AI, creating the game's soundtrack. The generated sounds are then appropriately placed to enrich the gaming experience.

[0279] Step 7:

[0280] Users play a game prototype generated through their device and then provide evaluations and feedback on its content to the server.

[0281] Step 8:

[0282] The server analyzes the user feedback it receives and, if necessary, regenerates the output of the AI ​​to adjust and improve it. This step optimizes the content to reflect the user's needs.

[0283] (Example 1)

[0284] Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0285] In conventional game development, there are problems such as it takes a great deal of effort and time to configure the story, design the characters, and formulate the game rules, and it is difficult to achieve consistency between different elements. In particular, for small-scale development teams or developers with little experience, it has been difficult to develop efficiently while improving the overall quality. Therefore, an object of the present invention is to solve these problems.

[0286] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0287] In this invention, the server includes means for receiving a user input and automatically generating constituent elements of a concept based on the input, means for automatically generating role characteristics based on the generated constituent elements of the concept, and means for automatically generating rules and operation patterns based on the generated role characteristics. Thereby, it becomes possible to concretize the user's idea quickly and efficiently and to perform high-quality game development while maintaining consistency between elements.

[0288] The "user" refers to a person who inputs a new content idea using the system and performs an evaluation.

[0289] The "input" refers to information that a user provides to the system through a terminal, such as concepts, stories, character settings, etc.

[0290] The "concept" refers to the basic framework of a story or game generated based on the information input by the user.

[0291] The "constituent element" refers to the basic elements necessary for the development of a story or game, such as the development of a story and the role of a character.

[0292] "Role" refers to the specific function or characteristics of a character or element within a story or game.

[0293] "Characteristics" refer to features such as appearance, nature, and abilities associated with a role.

[0294] "Rules" refer to the rules regarding gameplay and progression within the game.

[0295] "Action patterns" refer to the regularity of a character's actions or the behavior of in-game systems.

[0296] A "procedure" refers to an operable program or code designed to achieve a specific purpose.

[0297] "Evaluation" refers to user feedback and opinions on the generated content, and system improvements are made based on this feedback.

[0298] "Sound" refers to auditory elements in games, such as music and sound effects.

[0299] This invention begins with the user inputting a game idea. The user uses a terminal to input details such as the story theme, character settings, and game mechanics. The terminal is provided with a dedicated interface, allowing the user to input information in text format. For example, the user might input an idea such as, "An adventure RPG set in a medieval fantasy world, where the player becomes a knight who confronts dragons."

[0300] The input information is sent from the terminal to the server. The server receives this information and uses a generative AI model to materialize the user's idea. A large-scale language model specialized in string generation is used as the generative AI model. The server provides the user's input to this generative AI model as a prompt. An example of a prompt is, "Please create a medieval fantasy adventure story."

[0301] The server automatically generates character traits based on the narrative elements created by the generative AI model. Here, specific attributes such as character appearance, personality, and abilities are clarified. Based on these generated traits, the server further forms the game's rules and behavior patterns. At this stage, elements such as how the player controls the characters and how the game unfolds are concretized.

[0302] Next, the server uses a code generation engine to automatically generate executable scripts based on the generated rules and behavioral patterns. These scripts are designed for game engines such as Unity and Unreal Engine. This creates the foundation for the story and characters to function as an actual game.

[0303] Finally, the server uses a generative AI model to generate sounds that enhance the game's atmosphere and integrate them into the sound system. Sounds such as medieval-style symphonic music and dragon roars are generated, contributing to the immersive experience of the game.

[0304] Users receive these automatically generated game elements, play them, and then provide feedback to the server via their device. This feedback is used to improve the system, enabling the delivery of high-quality content that meets user expectations once again.

[0305] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0306] Step 1:

[0307] The user uses the terminal to input game ideas. Here, the user fills in details such as the theme of the story, character settings, game mechanics, etc. in the input interface of the terminal. For example, a theme such as "a science fiction action game set in a future city" can be input. The input data is sent to the server as structured data in a format such as JSON.

[0308] Input: User's game idea

[0309] Output: Structured data from the terminal to the server

[0310] Step 2:

[0311] The server receives the data from the terminal and constructs a prompt sentence for the generative AI model. Specifically, it analyzes the user's input data to generate a prompt sentence that is easy for the generative AI model to understand. A prompt sentence such as "Please create a story set in a future city" is used. The server sends this prompt sentence to the generative AI model to generate elements of the story.

[0312] Input: Structured data from the terminal

[0313] Output: Prompt sentence to the generative AI model

[0314] Step 3:

[0315] The generative AI model automatically generates the components of the story based on the prompt sentence received from the server. This includes the plot of the story, major scenes, backstory, etc. The generated elements of the story are returned to the server, and the server saves them.

[0316] Input: Prompt sentence

[0317] Output: Components of the story

[0318] Step 4:

[0319] The server analyzes the generated story elements and automatically generates character traits. Here, the character's appearance, personality, and abilities are automatically determined. For example, a character setting such as "a highly intelligent detective in a futuristic city" is generated.

[0320] Input: Story elements

[0321] Output: Character characteristics

[0322] Step 5:

[0323] The server forms the game's rules and behavior patterns based on the characteristics of the generated characters. Specifically, it automatically generates player controls and character behavior rules, and verifies them through simulation.

[0324] Input: Character characteristics

[0325] Output: Game rules and behavior patterns

[0326] Step 6:

[0327] The server uses a code generation engine to automatically generate executable steps based on the generated rules and behavioral patterns. These steps are output in script format, making them executable within game engines such as Unity and Unreal Engine.

[0328] Input: Game rules and behavior patterns

[0329] Output: Executable steps (script)

[0330] Step 7:

[0331] The server uses a generative AI model to generate sound to enhance the game's atmosphere and integrates it into the game system. Medieval-style symphonic music and captivating sound effects are automatically generated.

[0332] Input: Game elements including story and characters

[0333] Output: Audio

[0334] Step 8:

[0335] The user receives game elements generated through their device and plays them. After playing, they send feedback from their device to the server. The server uses this feedback to adjust the generated AI model and improve each component.

[0336] Input: Generated game elements

[0337] Output: User feedback

[0338] (Application Example 1)

[0339] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0340] In the modern era, creating game content by individuals or small development groups faces high technical hurdles, making it difficult for users without specialized skills. Furthermore, the real-time generation process required to provide interactive experiences is challenging, limiting rapid development cycles and intuitive user creativity. There is a need to solve these problems and create an environment where users can easily provide valuable gaming experiences.

[0341] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0342] In this invention, the server includes means for receiving user input and automatically generating story elements based on said input; means for automatically generating character characteristics based on the generated story elements; means for automatically generating rules and behavior patterns based on the generated character characteristics; means for automatically generating executable commands based on the rules and behavior patterns; means for automatically generating sounds suitable for the story and characters; means for receiving user evaluations of each generated piece of content and adjusting the output results based on said evaluations; and means for recognizing user voice input and generating game content in real time using a generation AI. This makes it possible to create and experience advanced game content in an intuitive way without requiring specialized skills.

[0343] "User input" refers to voice and text information provided by the user via their device, including story ideas, themes, and character settings related to the game's concept.

[0344] "Story elements" refer to the basic structural components related to the story, including the plot, theme, and the order in which the scenario progresses.

[0345] "Character characteristics" refer to individual traits of a character, such as their appearance, personality, and abilities.

[0346] "Rules" refer to the rules or guidelines that influence player behavior within a game.

[0347] An "action pattern" refers to a series of actions or reactions that a game character or object should take.

[0348] "Executable instructions" refer to the program code or scripts that actually make the generated game structure work.

[0349] "Sound" refers to auditory elements such as music and sound effects used to enrich the gaming experience.

[0350] "Generative AI" refers to a system that uses artificial intelligence technology to automatically generate new content based on data.

[0351] "Real-time generation" refers to the process of creating new content in response to user input and providing it on the spot.

[0352] "User ratings" refer to feedback from users regarding the generated game content, including information such as satisfaction levels and areas for improvement.

[0353] This invention is a system in which a user inputs a game idea, and based on that idea, advanced game content is generated. The system consists of the user's terminal and a server in the cloud. User input is sent from the terminal to the server as voice or text, and the server processes this to generate game content.

[0354] The server uses speech recognition technology to convert the user's voice input into text data. Specifically, it uses a speech recognition library to process the voice input. The converted input data is then used with a generative AI to automatically generate story elements, determining character characteristics, rules, and behavior patterns.

[0355] The generation AI generates content using a specified prompt. This prompt includes background information for a story based on the user's idea. One example is: "Generate a story, character settings, and rules from a game idea: Dragon slaying in an ancient castle."

[0356] The generated content includes music and sound effects to provide a comprehensive gaming experience that incorporates audio elements. This allows users to enjoy an immersive gaming experience that appeals to both their visual and auditory senses.

[0357] The user's evaluation of the game is fed back to the server via the device. Based on these evaluations, the server adjusts the parameters of the generative AI model to improve the content. The hardware used consists of a microphone to capture the user's voice and a display to show the generated content, while the software consists of a speech recognition library and a generative AI coding engine.

[0358] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0359] Step 1:

[0360] Users input game ideas via voice through their devices. This input includes the game's story, character settings, and theme.

[0361] Step 2:

[0362] The device converts the voice input into a digital signal, and then uses a speech recognition library to convert this into text data. The input is voice data, and the output is text data.

[0363] Step 3:

[0364] The server analyzes the received text data and generates prompt sentences for the AI ​​model. These prompt sentences include background information about the game based on the user's ideas. The input is text data, and the output is prompt sentences.

[0365] Step 4:

[0366] The server uses an AI model to automatically generate story elements, character traits, rules, and behavior patterns based on prompt text. The input is prompt text, and the output is various game content elements.

[0367] Step 5:

[0368] The server generates music and sound effects suitable for the automatically generated game content. This includes sound elements that correspond to the theme of the generated story and the actions of the characters. The input is the game content elements, and the output is music and sound effects.

[0369] Step 6:

[0370] The device integrates the generated game content and audio, presenting it to the user in real time, audiovisually and audibly. The input is game content and audio data, and the output is the game the user experiences.

[0371] Step 7:

[0372] Users provide feedback via their devices after experiencing the game. This feedback includes user satisfaction and areas for improvement.

[0373] Step 8:

[0374] The server adjusts the parameters of the generated AI model based on the feedback it receives, improving the game content as needed. The input is user feedback, and the output is information for adjustments to be made for the next content generation.

[0375] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0376] This invention begins with the user inputting the basic concept of the game via a terminal. This input includes the game's theme, story, and characters. The terminal sends the user input to a server, which receives and analyzes it, then uses a generative AI model to automatically generate the narrative components.

[0377] Furthermore, the server generates character traits. This process considers not only personality and appearance, but also emotional information related to the user's input data. The emotion engine analyzes user input and responses to recognize the user's emotional state. Based on the emotions recognized by the emotion engine, the story and character traits can be dynamically customized. For example, if the user prefers tension, the story will become more thrilling, and the characters' personalities and backgrounds will be adjusted accordingly.

[0378] Next, the server automatically generates game rules and action patterns from the characteristics of the generated characters. This process takes into account the playability of the player character and important elements of game progression. The action patterns can also be fine-tuned based on the user's emotional state as indicated by the emotion engine.

[0379] The server then generates executable scripts based on these elements, creating the basic operating environment for the game. In addition, sound effects, music, and audio are automatically generated using AI to enhance the game's atmosphere.

[0380] Users play a prototype of this game through their devices and send feedback and ratings to the server. The server analyzes this feedback, re-evaluates the user's emotions through an emotion engine, and regenerates or adjusts elements of the game as needed to provide the user with the best possible experience. This system allows even beginners and small development teams to efficiently develop high-quality, personalized games based on user emotions.

[0381] The following describes the processing flow.

[0382] Step 1:

[0383] The user inputs the basic concept of the game and desired elements through their device and sends this information to the server.

[0384] Step 2:

[0385] The server analyzes the user's input and uses a generative AI model to automatically generate the story's components. At this stage, the story's plot and progression are determined.

[0386] Step 3:

[0387] The server then automatically generates character traits based on the generated story. This is where the characters' appearances, personalities, and backgrounds are given concrete details.

[0388] Step 4:

[0389] The server utilizes an emotion engine to analyze the user's past response data and the nuances of their current input to recognize their emotional state. Based on this information, the story and characters are adjusted to match the user's emotions.

[0390] Step 5:

[0391] The server generates game rules and behavior patterns based on the characteristics of the characters and the user's emotional state. This step takes into account the player interaction in the game.

[0392] Step 6:

[0393] Based on the generated rules and behavioral patterns, the server automatically generates executable scripts. This creates the program that enables the basic functions of the game.

[0394] Step 7:

[0395] The server uses a generation AI to automatically generate in-game music and sound effects in a style that suits the user's emotions, creating a suitable sound environment.

[0396] Step 8:

[0397] Users play a prototype of the game on their devices and provide feedback. This feedback is crucial information for improving the gameplay experience.

[0398] Step 9:

[0399] The server analyzes user feedback, uses an emotion engine to recognize the user's new emotional states, and optimizes the generated content. This adjusts the game experience to be more suitable for the user.

[0400] (Example 2)

[0401] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0402] In game development, creating a game experience optimized for individual user emotions and preferences is difficult for beginners and small development teams. With traditional technologies, customizing stories and characters based on user input is cumbersome, and adjusting rules and behavior patterns is not easy. This leads to increased development costs and makes efficient game development difficult.

[0403] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0404] In this invention, the server includes means for receiving user input and automatically generating story elements based on said input, means for automatically generating rules and behavioral patterns based on the characteristics of the generated characters and the user's emotional information, and means for receiving the user's evaluation of each generated piece of content and readjusting the output results based on the emotional state. This makes it possible to efficiently generate a personalized game experience that reflects the user's emotions and preferences, and to provide a high-quality game while keeping development costs down.

[0405] "User input" refers to information about the game's concept, theme, story, and characters provided by the user via their device.

[0406] "Story elements" refer to the structure and scenario of a story generated based on user input, and form the game's storyline.

[0407] "Characteristics of the characters" refers to the personality, appearance, and role of characters who play an important role in the story, and is linked to the elements of the generated narrative.

[0408] "User emotional information" refers to data that analyzes the emotional state obtained from user input and responses, and is used to customize stories and characters.

[0409] "Rules and behavior patterns" refer to in-game behaviors and progression conditions defined based on the characteristics of the generated characters and the user's emotional information, and they define the controls for gameplay.

[0410] An "executable script" is code generated based on rules and behavioral patterns, and is executed to control the basic operation of the game.

[0411] "Audio content" refers to music and sound effects that are appropriate for the story and characters, and is automatically generated using AI, enriching the atmosphere of the game experience.

[0412] "User ratings" refer to the feedback and opinions that users give about the generated game content, and are important data used for future generation and adjustments.

[0413] "Re-adjusting output results based on emotional state" is a process that regenerates or adjusts game elements based on user evaluations and emotional information to provide the user with the optimal gaming experience.

[0414] This invention is a system in which a user inputs the basic concept of a game via a terminal, and a server automatically generates the game based on that data. Specifically, the user uses the terminal's interface to input information about the game's theme, story outline, and characters. For example, the user can input text such as, "I want to go on an adventure exploring a forest. The characters will be a brave knight and a wise witch. Please consider the user's comfort in the story."

[0415] The terminal sends the user's input information to the server. The server analyzes the received data and automatically generates story elements using a generative AI model. The generative AI model employs natural language processing technology. This generates constituent elements based on the input theme and story.

[0416] Next, the server generates character traits based on the story elements. This process again utilizes a generative AI model, automatically determining the character's appearance, personality, and abilities. An emotion engine is also used, taking the user's emotional state into account. This allows the character to be customized according to the user's preferences.

[0417] Furthermore, the server automatically generates game rules and action patterns based on the characteristics of the generated characters and the user's emotional information. These generated rules and patterns are crucial elements in the game's progression and serve as the basis for determining its playability.

[0418] The server then generates executable scripts and sets up the basic operating environment for the game. During this process, a generation AI is used to automatically generate sound content (music and sound effects) to enhance the game's atmosphere.

[0419] Users can play a prototype of the game generated using their device. After playing, users send feedback to the server via their device. The server analyzes this feedback and, if necessary, uses an emotion engine to readjust various elements of the game. Ultimately, the optimal gaming experience for the user is provided.

[0420] This system allows users to efficiently generate personalized games tailored to their individual emotions and preferences, making high-quality game development effective and easy, especially for beginners and small development teams.

[0421] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0422] Step 1:

[0423] The user inputs the game's basic concept through their device. Specifically, they input the game's theme, story outline, and characters in text format. This allows the user's desired game elements to be passed to the device as input data.

[0424] Step 2:

[0425] The terminal sends the user's input data to the server. At this time, the input data is formatted into a data package to ensure it reaches the server accurately. The server receives this data and prepares it for the next analysis process.

[0426] Step 3:

[0427] The server analyzes the received data and automatically generates story elements using a generative AI model. This process uses natural language processing to analyze text data and outputs a storyline based on the user's requested concept. For example, based on prompt sentences, the main events and settings of the story are generated.

[0428] Step 4:

[0429] The server uses a generative AI model to generate character traits based on elements of the story. Here, the character's appearance, personality, and role are determined, and an emotion engine is used to adjust them to the user's emotional state. This results in customized character information being output.

[0430] Step 5:

[0431] The server automatically generates game rules and behavior patterns, taking into account the characteristics of the generated characters and the user's emotional information. This step defines how each character is controlled and the flow of game progression. These elements are combined and output as foundational information for gameplay.

[0432] Step 6:

[0433] The server generates executable scripts based on rules and behavioral patterns. These generated scripts control the game's basic operations and are used to build the operating environment. This output can be directly executed as a game prototype.

[0434] Step 7:

[0435] The server automatically generates audio content using a generation AI. Music and sound effects appropriate to the story and characters are generated, enhancing the game's atmosphere. This audio data is also output as part of the game.

[0436] Step 8:

[0437] Users play a prototype of the generated game using their devices. Feedback from this stage is sent from the device to the server. This allows for the collection of user evaluations and impressions of the game experience.

[0438] Step 9:

[0439] The server analyzes the collected feedback and uses an emotion engine to readjust each element of the game as needed. It fine-tunes the output to provide an optimized gaming experience and delivers a version optimized for the user.

[0440] (Application Example 2)

[0441] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0442] In virtual environments, it is challenging to appropriately adjust the environment according to individual user preferences and themes, thereby providing a personalized experience. In particular, being able to reflect the atmosphere and interaction elements desired by users in real time can significantly improve the user experience. There is a need for systems that can meet these requirements.

[0443] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0444] In this invention, the server includes means for receiving user input and automatically generating narrative elements, means for automatically generating character characteristics based on the generated narrative elements, and means for analyzing the user's themes and preferences and dynamically adjusting the atmosphere and interaction elements of the virtual environment. This makes it possible to provide a virtual experience optimized for each individual user.

[0445] "User input" refers to information that the user provides to the system, specifying elements related to the story, characters, or virtual environment.

[0446] "Means for automatically generating narrative components" refers to a function that automatically creates the specific plot development and scenario of a story based on user input.

[0447] "Methods for automatically generating character characteristics" refer to systems that automatically generate characteristics such as the appearance, personality, and abilities of characters appearing in a story.

[0448] "Means for automatically generating rules and behavioral patterns" refers to a function that automatically designs the behavioral principles and operating methods of the story, the characters within the game, and the overall system, based on the characteristics of the generated characters.

[0449] "Means for automatically generating executable scripts" refers to a function that automatically creates program code for the system to operate based on the generated rules and behavioral patterns.

[0450] "Means for automatically generating sound" refers to a system that automatically creates music and sound effects suitable for the story and characters.

[0451] "Means for receiving user evaluations and adjusting output results" refers to a function that receives feedback information from users, adjusts the generated content based on that feedback, and provides more appropriate results.

[0452] "Means for analyzing user themes and preferences and dynamically adjusting the atmosphere and interaction elements of the virtual environment" refers to a function that analyzes the themes and preferences of the user, adjusts the visual and operational elements within the virtual environment in real time, and provides a different experience for each user.

[0453] In the system for implementing this invention, a server plays a central role. Users input information about their concepts and preferences using smartphones or other devices. This collected information is transmitted to the server via the network. The server analyzes the input data and automatically generates narrative and character components using a generative AI model.

[0454] Specifically, the server analyzes the user's theme, story, and character settings, and designs a narrative structure that suits them. Furthermore, it automatically generates characteristics such as the appearance, personality, and abilities of the characters. This results in a world view and character settings that reflect the user's preferences.

[0455] Next, the server designs rules and behavior patterns based on the characteristics of the generated characters. This design includes how characters behave under specific conditions and the operating principles of the entire system. Based on these, the server automatically generates executable scripts to ensure that the story and game content run smoothly.

[0456] Furthermore, the server automatically generates sound elements such as music and sound effects. By generating sounds that match the atmosphere and theme specified by the user, it makes the virtual environment more interactive and immersive. It also receives feedback on how the user evaluates the experience and fine-tunes the output as needed.

[0457] As a concrete example, if a user enters a prompt such as, "Please create a virtual shop with relaxing classical music playing. The customer service character should speak in a gentle manner," the system will analyze this and build the virtual environment based on the characteristics of the corresponding music and character.

[0458] This system utilizes technologies such as generative AI models and emotion analysis engines to design and deliver optimal virtual experiences tailored to the individual needs of each user.

[0459] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0460] Step 1:

[0461] The user inputs information about the theme, story, and characters through the terminal. This becomes a prompt message to the system, and the terminal sends this input data to the server. Since the input includes the user's preferences and expectations, the prompt message is the starting point for system processing.

[0462] Step 2:

[0463] The server analyzes the received prompt text and automatically generates narrative components using a generative AI model. The input here is the user's prompt text; the server analyzes the data and designs a hypothetical narrative structure. The result of this process is an outline of the story.

[0464] Step 3:

[0465] The server automatically generates character traits based on the story's constituent elements. The input is the story outline obtained in step 2, and the server uses this to design the characters' appearances, personalities, and abilities, outputting specific character settings.

[0466] Step 4:

[0467] The server uses the characteristics of the generated characters as input data to automatically generate rules and behavior patterns. Here, the principles of character behavior and dynamic elements in the story progression are designed, and elements to enhance playability are output.

[0468] Step 5:

[0469] The server automatically generates executable scripts based on the generated rules and behavioral patterns. In this step, the output from step 4 is used to create and output the program code necessary for the story or game to function.

[0470] Step 6:

[0471] The server automatically generates sound elements such as music and sound effects based on the theme included in the user's prompt text. The server analyzes the user's input, uses a generation AI model to generate sounds that match the atmosphere, and outputs the musical elements of the virtual environment.

[0472] Step 7:

[0473] Users evaluate the virtual experience generated through their device and send feedback to the server. The server analyzes this feedback and readjusts the generated elements as needed, thereby providing a virtual environment that meets the user's expectations.

[0474] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0475] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0476] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0477] [Third Embodiment]

[0478] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0479] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0480] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0481] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0482] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0483] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0484] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0485] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0486] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0487] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0488] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0489] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0490] This invention begins with the user inputting a game idea into a terminal. The user inputs information including a specific story, game theme, and character settings. When the user's input sent to the terminal reaches the server, the server uses a generative AI model to automatically generate the constituent elements of the story.

[0491] The server then uses the generated story to define the characteristics of the characters. In this process, the characters' appearances, personalities, and abilities are automatically determined. The server then takes these character characteristics into account when forming the game's rules and behavioral patterns. This includes elements that influence player control and game progression.

[0492] Furthermore, the server uses a code generation engine to automatically generate executable scripts based on the generated rules and behavioral patterns. This completes the program necessary for the game to actually run. The server then uses an AI model to create sound to enhance the game's atmosphere and integrates music and sound effects into the game system.

[0493] After receiving these automatically generated elements, users provide feedback to the server via their device. This feedback is crucial in the process of improving the output, and the server adjusts the parameters of the generating AI based on the received evaluation, improving each component as needed. In this way, even beginners and small development teams can efficiently develop high-quality games.

[0494] The following describes the processing flow.

[0495] Step 1:

[0496] The user uses their device to input basic concepts such as the game's theme, story, and characters, and then sends them to the server.

[0497] Step 2:

[0498] The server analyzes the user's input and uses a generative AI model to automatically generate story elements based on the input information. These elements include the story's plot, setting, and key points.

[0499] Step 3:

[0500] The server automatically generates character characteristics based on the generated story elements. Here, the character's appearance, personality, and background are determined, and character design is carried out based on these.

[0501] Step 4:

[0502] The server automatically generates game rules and action patterns based on the characteristics of the characters, while taking various game mechanics into consideration. In this step, the interaction and player control methods, which are appropriate for the game genre, are also specified.

[0503] Step 5:

[0504] The server generates executable script code based on the rules and behavior patterns generated in the previous step. This enables the implementation of basic game logic and character behavior control.

[0505] Step 6:

[0506] The server automatically generates music and sound effects that match the overall atmosphere of the game using AI, creating the game's soundtrack. The generated sounds are then appropriately placed to enrich the gaming experience.

[0507] Step 7:

[0508] Users play a game prototype generated through their device and then provide evaluations and feedback on its content to the server.

[0509] Step 8:

[0510] The server analyzes the user feedback it receives and, if necessary, regenerates the output of the AI ​​to adjust and improve it. This step optimizes the content to reflect the user's needs.

[0511] (Example 1)

[0512] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0513] Traditional game development has faced challenges such as the significant time and effort required for structuring the story, designing characters, and formulating game rules, as well as the difficulty in maintaining consistency between different elements. This has made it particularly difficult for small development teams or inexperienced developers to efficiently develop games while maintaining overall quality. Therefore, this invention aims to solve these problems.

[0514] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0515] In this invention, the server includes means for receiving user input and automatically generating conceptual components based on said input, means for automatically generating role characteristics based on the generated conceptual components, and means for automatically generating rules and behavioral patterns based on the generated role characteristics. This enables the rapid and efficient materialization of user ideas and the development of high-quality games while maintaining consistency between each element.

[0516] A "user" refers to someone who uses the system to input and evaluate new content ideas.

[0517] "Input" refers to information that users provide to the system through their device, such as concepts, stories, and character settings.

[0518] "Concept" refers to the basic framework of a story or game that is generated based on information entered by the user.

[0519] "Component elements" refer to the fundamental elements necessary for the development of a story or game, such as the plot progression and the roles of the characters.

[0520] "Role" refers to the specific function or characteristics of a character or element within a story or game.

[0521] "Characteristics" refer to features such as appearance, nature, and abilities associated with a role.

[0522] "Rules" refer to the rules regarding gameplay and progression within the game.

[0523] "Action patterns" refer to the regularity of a character's actions or the behavior of in-game systems.

[0524] A "procedure" refers to an operable program or code designed to achieve a specific purpose.

[0525] "Evaluation" refers to user feedback and opinions on the generated content, and system improvements are made based on this feedback.

[0526] "Sound" refers to auditory elements in games, such as music and sound effects.

[0527] This invention begins with the user inputting a game idea. The user uses a terminal to input details such as the story theme, character settings, and game mechanics. The terminal is provided with a dedicated interface, allowing the user to input information in text format. For example, the user might input an idea such as, "An adventure RPG set in a medieval fantasy world, where the player becomes a knight who confronts dragons."

[0528] The input information is sent from the terminal to the server. The server receives this information and uses a generative AI model to materialize the user's idea. A large-scale language model specialized in string generation is used as the generative AI model. The server provides the user's input to this generative AI model as a prompt. An example of a prompt is, "Please create a medieval fantasy adventure story."

[0529] The server automatically generates character traits based on the narrative elements created by the generative AI model. Here, specific attributes such as character appearance, personality, and abilities are clarified. Based on these generated traits, the server further forms the game's rules and behavior patterns. At this stage, elements such as how the player controls the characters and how the game unfolds are concretized.

[0530] Next, the server uses a code generation engine to automatically generate executable scripts based on the generated rules and behavioral patterns. These scripts are designed for game engines such as Unity and Unreal Engine. This creates the foundation for the story and characters to function as an actual game.

[0531] Finally, the server uses a generative AI model to generate sounds that enhance the game's atmosphere and integrate them into the sound system. Sounds such as medieval-style symphonic music and dragon roars are generated, contributing to the immersive experience of the game.

[0532] Users receive these automatically generated game elements, play them, and then provide feedback to the server via their device. This feedback is used to improve the system, enabling the delivery of high-quality content that meets user expectations once again.

[0533] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0534] Step 1:

[0535] The user uses a terminal to input game ideas. Here, the user fills in details such as the story theme, character settings, and game mechanics using the terminal's input interface. For example, they might enter a theme such as "a sci-fi action game set in a futuristic city." The entered data is sent to the server as structured data, such as in JSON format.

[0536] Input: User's game idea

[0537] Output: Structured data from terminal to server

[0538] Step 2:

[0539] The server receives data from the terminal and constructs prompts for the generating AI model. Specifically, it analyzes the user's input data to generate prompts that are easy for the generating AI model to understand. A prompt such as "Create a story set in a futuristic city" is used. The server sends these prompts to the generating AI model, which then generates elements of the story.

[0540] Input: Structured data from the device

[0541] Output: Prompts for the generated AI model

[0542] Step 3:

[0543] The generative AI model automatically generates story elements based on prompts received from the server. These include the story's plot, key scenes, and backstory. The generated story elements are returned to the server, which then stores them.

[0544] Input: Prompt message

[0545] Output: Components of a story

[0546] Step 4:

[0547] The server analyzes the generated story elements and automatically generates character traits. Here, the character's appearance, personality, and abilities are automatically determined. For example, a character setting such as "a highly intelligent detective in a futuristic city" is generated.

[0548] Input: Story elements

[0549] Output: Character characteristics

[0550] Step 5:

[0551] The server forms the game's rules and behavior patterns based on the characteristics of the generated characters. Specifically, it automatically generates player controls and character behavior rules, and verifies them through simulation.

[0552] Input: Character characteristics

[0553] Output: Game rules and behavior patterns

[0554] Step 6:

[0555] The server uses a code generation engine to automatically generate executable steps based on the generated rules and behavioral patterns. These steps are output in script format, making them executable within game engines such as Unity and Unreal Engine.

[0556] Input: Game rules and behavior patterns

[0557] Output: Executable steps (script)

[0558] Step 7:

[0559] The server uses a generative AI model to generate sound to enhance the game's atmosphere and integrates it into the game system. Medieval-style symphonic music and captivating sound effects are automatically generated.

[0560] Input: Game elements including story and characters

[0561] Output: Audio

[0562] Step 8:

[0563] The user receives game elements generated through their device and plays them. After playing, they send feedback from their device to the server. The server uses this feedback to adjust the generated AI model and improve each component.

[0564] Input: Generated game elements

[0565] Output: User feedback

[0566] (Application Example 1)

[0567] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0568] In the modern era, creating game content by individuals or small development groups faces high technical hurdles, making it difficult for users without specialized skills. Furthermore, the real-time generation process required to provide interactive experiences is challenging, limiting rapid development cycles and intuitive user creativity. There is a need to solve these problems and create an environment where users can easily provide valuable gaming experiences.

[0569] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0570] In this invention, the server includes means for receiving user input and automatically generating story elements based on said input; means for automatically generating character characteristics based on the generated story elements; means for automatically generating rules and behavior patterns based on the generated character characteristics; means for automatically generating executable commands based on the rules and behavior patterns; means for automatically generating sounds suitable for the story and characters; means for receiving user evaluations of each generated piece of content and adjusting the output results based on said evaluations; and means for recognizing user voice input and generating game content in real time using a generation AI. This makes it possible to create and experience advanced game content in an intuitive way without requiring specialized skills.

[0571] "User input" refers to voice and text information provided by the user via their device, including story ideas, themes, and character settings related to the game's concept.

[0572] "Story elements" refer to the basic structural components related to the story, including the plot, theme, and the order in which the scenario progresses.

[0573] "Character characteristics" refer to individual traits of a character, such as their appearance, personality, and abilities.

[0574] "Rules" refer to the rules or guidelines that influence player behavior within a game.

[0575] An "action pattern" refers to a series of actions or reactions that a game character or object should take.

[0576] "Executable instructions" refer to the program code or scripts that actually make the generated game structure work.

[0577] "Sound" refers to auditory elements such as music and sound effects used to enrich the gaming experience.

[0578] "Generative AI" refers to a system that uses artificial intelligence technology to automatically generate new content based on data.

[0579] "Real-time generation" refers to the process of creating new content in response to user input and providing it on the spot.

[0580] "User ratings" refer to feedback from users regarding the generated game content, including information such as satisfaction levels and areas for improvement.

[0581] This invention is a system in which a user inputs a game idea, and based on that idea, advanced game content is generated. The system consists of the user's terminal and a server in the cloud. User input is sent from the terminal to the server as voice or text, and the server processes this to generate game content.

[0582] The server uses speech recognition technology to convert the user's voice input into text data. Specifically, it uses a speech recognition library to process the voice input. The converted input data is then used with a generative AI to automatically generate story elements, determining character characteristics, rules, and behavior patterns.

[0583] The generation AI generates content using a specified prompt. This prompt includes background information for a story based on the user's idea. One example is: "Generate a story, character settings, and rules from a game idea: Dragon slaying in an ancient castle."

[0584] The generated content includes music and sound effects to provide a comprehensive gaming experience that incorporates audio elements. This allows users to enjoy an immersive gaming experience that appeals to both their visual and auditory senses.

[0585] The user's evaluation of the game is fed back to the server via the device. Based on these evaluations, the server adjusts the parameters of the generative AI model to improve the content. The hardware used consists of a microphone to capture the user's voice and a display to show the generated content, while the software consists of a speech recognition library and a generative AI coding engine.

[0586] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0587] Step 1:

[0588] Users input game ideas via voice through their devices. This input includes the game's story, character settings, and theme.

[0589] Step 2:

[0590] The device converts the voice input into a digital signal, and then uses a speech recognition library to convert this into text data. The input is voice data, and the output is text data.

[0591] Step 3:

[0592] The server analyzes the received text data and generates prompt sentences for the AI ​​model. These prompt sentences include background information about the game based on the user's ideas. The input is text data, and the output is prompt sentences.

[0593] Step 4:

[0594] The server uses an AI model to automatically generate story elements, character traits, rules, and behavior patterns based on prompt text. The input is prompt text, and the output is various game content elements.

[0595] Step 5:

[0596] The server generates music and sound effects suitable for the automatically generated game content. This includes sound elements that correspond to the theme of the generated story and the actions of the characters. The input is the game content elements, and the output is music and sound effects.

[0597] Step 6:

[0598] The device integrates the generated game content and audio, presenting it to the user in real time, audiovisually and audibly. The input is game content and audio data, and the output is the game the user experiences.

[0599] Step 7:

[0600] Users provide feedback via their devices after experiencing the game. This feedback includes user satisfaction and areas for improvement.

[0601] Step 8:

[0602] The server adjusts the parameters of the generated AI model based on the feedback it receives, improving the game content as needed. The input is user feedback, and the output is information for adjustments to be made for the next content generation.

[0603] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0604] This invention begins with the user inputting the basic concept of the game via a terminal. This input includes the game's theme, story, and characters. The terminal sends the user input to a server, which receives and analyzes it, then uses a generative AI model to automatically generate the narrative components.

[0605] Furthermore, the server generates character traits. This process considers not only personality and appearance, but also emotional information related to the user's input data. The emotion engine analyzes user input and responses to recognize the user's emotional state. Based on the emotions recognized by the emotion engine, the story and character traits can be dynamically customized. For example, if the user prefers tension, the story will become more thrilling, and the characters' personalities and backgrounds will be adjusted accordingly.

[0606] Next, the server automatically generates game rules and action patterns from the characteristics of the generated characters. This process takes into account the playability of the player character and important elements of game progression. The action patterns can also be fine-tuned based on the user's emotional state as indicated by the emotion engine.

[0607] The server then generates executable scripts based on these elements, creating the basic operating environment for the game. In addition, sound effects, music, and audio are automatically generated using AI to enhance the game's atmosphere.

[0608] Users play a prototype of this game through their devices and send feedback and ratings to the server. The server analyzes this feedback, re-evaluates the user's emotions through an emotion engine, and regenerates or adjusts elements of the game as needed to provide the user with the best possible experience. This system allows even beginners and small development teams to efficiently develop high-quality, personalized games based on user emotions.

[0609] The following describes the processing flow.

[0610] Step 1:

[0611] The user inputs the basic concept of the game and desired elements through their device and sends this information to the server.

[0612] Step 2:

[0613] The server analyzes the user's input and uses a generative AI model to automatically generate the story's components. At this stage, the story's plot and progression are determined.

[0614] Step 3:

[0615] The server then automatically generates character traits based on the generated story. This is where the characters' appearances, personalities, and backgrounds are given concrete details.

[0616] Step 4:

[0617] The server utilizes an emotion engine to analyze the user's past response data and the nuances of their current input to recognize their emotional state. Based on this information, the story and characters are adjusted to match the user's emotions.

[0618] Step 5:

[0619] The server generates game rules and behavior patterns based on the characteristics of the characters and the user's emotional state. This step takes into account the player interaction in the game.

[0620] Step 6:

[0621] Based on the generated rules and behavioral patterns, the server automatically generates executable scripts. This creates the program that enables the basic functions of the game.

[0622] Step 7:

[0623] The server uses a generation AI to automatically generate in-game music and sound effects in a style that suits the user's emotions, creating a suitable sound environment.

[0624] Step 8:

[0625] Users play a prototype of the game on their devices and provide feedback. This feedback is crucial information for improving the gameplay experience.

[0626] Step 9:

[0627] The server analyzes user feedback, uses an emotion engine to recognize the user's new emotional states, and optimizes the generated content. This adjusts the game experience to be more suitable for the user.

[0628] (Example 2)

[0629] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0630] In game development, creating a game experience optimized for individual user emotions and preferences is difficult for beginners and small development teams. With traditional technologies, customizing stories and characters based on user input is cumbersome, and adjusting rules and behavior patterns is not easy. This leads to increased development costs and makes efficient game development difficult.

[0631] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0632] In this invention, the server includes means for receiving user input and automatically generating story elements based on said input, means for automatically generating rules and behavioral patterns based on the characteristics of the generated characters and the user's emotional information, and means for receiving the user's evaluation of each generated piece of content and readjusting the output results based on the emotional state. This makes it possible to efficiently generate a personalized game experience that reflects the user's emotions and preferences, and to provide a high-quality game while keeping development costs down.

[0633] "User input" refers to information about the game's concept, theme, story, and characters provided by the user via their device.

[0634] "Story elements" refer to the structure and scenario of a story generated based on user input, and form the game's storyline.

[0635] "Characteristics of the characters" refers to the personality, appearance, and role of characters who play an important role in the story, and is linked to the elements of the generated narrative.

[0636] "User emotional information" refers to data that analyzes the emotional state obtained from user input and responses, and is used to customize stories and characters.

[0637] "Rules and behavior patterns" refer to in-game behaviors and progression conditions defined based on the characteristics of the generated characters and the user's emotional information, and they define the controls for gameplay.

[0638] An "executable script" is code generated based on rules and behavioral patterns, and is executed to control the basic operation of the game.

[0639] "Audio content" refers to music and sound effects that are appropriate for the story and characters, and is automatically generated using AI, enriching the atmosphere of the game experience.

[0640] "User ratings" refer to the feedback and opinions that users give about the generated game content, and are important data used for future generation and adjustments.

[0641] "Re-adjusting output results based on emotional state" is a process that regenerates or adjusts game elements based on user evaluations and emotional information to provide the user with the optimal gaming experience.

[0642] This invention is a system in which a user inputs the basic concept of a game via a terminal, and a server automatically generates the game based on that data. Specifically, the user uses the terminal's interface to input information about the game's theme, story outline, and characters. For example, the user can input text such as, "I want to go on an adventure exploring a forest. The characters will be a brave knight and a wise witch. Please consider the user's comfort in the story."

[0643] The terminal sends the user's input information to the server. The server analyzes the received data and automatically generates story elements using a generative AI model. The generative AI model employs natural language processing technology. This generates constituent elements based on the input theme and story.

[0644] Next, the server generates character traits based on the story elements. This process again utilizes a generative AI model, automatically determining the character's appearance, personality, and abilities. An emotion engine is also used, taking the user's emotional state into account. This allows the character to be customized according to the user's preferences.

[0645] Furthermore, the server automatically generates game rules and action patterns based on the characteristics of the generated characters and the user's emotional information. These generated rules and patterns are crucial elements in the game's progression and serve as the basis for determining its playability.

[0646] The server then generates executable scripts and sets up the basic operating environment for the game. During this process, a generation AI is used to automatically generate sound content (music and sound effects) to enhance the game's atmosphere.

[0647] Users can play a prototype of the game generated using their device. After playing, users send feedback to the server via their device. The server analyzes this feedback and, if necessary, uses an emotion engine to readjust various elements of the game. Ultimately, the optimal gaming experience for the user is provided.

[0648] This system allows users to efficiently generate personalized games tailored to their individual emotions and preferences, making high-quality game development effective and easy, especially for beginners and small development teams.

[0649] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0650] Step 1:

[0651] The user inputs the game's basic concept through their device. Specifically, they input the game's theme, story outline, and characters in text format. This allows the user's desired game elements to be passed to the device as input data.

[0652] Step 2:

[0653] The terminal sends the user's input data to the server. At this time, the input data is formatted into a data package to ensure it reaches the server accurately. The server receives this data and prepares it for the next analysis process.

[0654] Step 3:

[0655] The server analyzes the received data and automatically generates story elements using a generative AI model. This process uses natural language processing to analyze text data and outputs a storyline based on the user's requested concept. For example, based on prompt sentences, the main events and settings of the story are generated.

[0656] Step 4:

[0657] The server uses a generative AI model to generate character traits based on elements of the story. Here, the character's appearance, personality, and role are determined, and an emotion engine is used to adjust them to the user's emotional state. This results in customized character information being output.

[0658] Step 5:

[0659] The server automatically generates game rules and behavior patterns, taking into account the characteristics of the generated characters and the user's emotional information. This step defines how each character is controlled and the flow of game progression. These elements are combined and output as foundational information for gameplay.

[0660] Step 6:

[0661] The server generates executable scripts based on rules and behavioral patterns. These generated scripts control the game's basic operations and are used to build the operating environment. This output can be directly executed as a game prototype.

[0662] Step 7:

[0663] The server automatically generates audio content using a generation AI. Music and sound effects appropriate to the story and characters are generated, enhancing the game's atmosphere. This audio data is also output as part of the game.

[0664] Step 8:

[0665] Users play a prototype of the generated game using their devices. Feedback from this stage is sent from the device to the server. This allows for the collection of user evaluations and impressions of the game experience.

[0666] Step 9:

[0667] The server analyzes the collected feedback and uses an emotion engine to readjust each element of the game as needed. It fine-tunes the output to provide an optimized gaming experience and delivers a version optimized for the user.

[0668] (Application Example 2)

[0669] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0670] In virtual environments, it is challenging to appropriately adjust the environment according to individual user preferences and themes, thereby providing a personalized experience. In particular, being able to reflect the atmosphere and interaction elements desired by users in real time can significantly improve the user experience. There is a need for systems that can meet these requirements.

[0671] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0672] In this invention, the server includes means for receiving user input and automatically generating narrative elements, means for automatically generating character characteristics based on the generated narrative elements, and means for analyzing the user's themes and preferences and dynamically adjusting the atmosphere and interaction elements of the virtual environment. This makes it possible to provide a virtual experience optimized for each individual user.

[0673] "User input" refers to information that the user provides to the system, specifying elements related to the story, characters, or virtual environment.

[0674] "Means for automatically generating narrative components" refers to a function that automatically creates the specific plot development and scenario of a story based on user input.

[0675] "Methods for automatically generating character characteristics" refer to systems that automatically generate characteristics such as the appearance, personality, and abilities of characters appearing in a story.

[0676] "Means for automatically generating rules and behavioral patterns" refers to a function that automatically designs the behavioral principles and operating methods of the story, the characters within the game, and the overall system, based on the characteristics of the generated characters.

[0677] "Means for automatically generating executable scripts" refers to a function that automatically creates program code for the system to operate based on the generated rules and behavioral patterns.

[0678] "Means for automatically generating sound" refers to a system that automatically creates music and sound effects suitable for the story and characters.

[0679] "Means for receiving user evaluations and adjusting output results" refers to a function that receives feedback information from users, adjusts the generated content based on that feedback, and provides more appropriate results.

[0680] "Means for analyzing user themes and preferences and dynamically adjusting the atmosphere and interaction elements of the virtual environment" refers to a function that analyzes the themes and preferences of the user, adjusts the visual and operational elements within the virtual environment in real time, and provides a different experience for each user.

[0681] In the system for implementing this invention, a server plays a central role. Users input information about their concepts and preferences using smartphones or other devices. This collected information is transmitted to the server via the network. The server analyzes the input data and automatically generates narrative and character components using a generative AI model.

[0682] Specifically, the server analyzes the user's theme, story, and character settings, and designs a narrative structure that suits them. Furthermore, it automatically generates characteristics such as the appearance, personality, and abilities of the characters. This results in a world view and character settings that reflect the user's preferences.

[0683] Next, the server designs rules and behavior patterns based on the characteristics of the generated characters. This design includes how characters behave under specific conditions and the operating principles of the entire system. Based on these, the server automatically generates executable scripts to ensure that the story and game content run smoothly.

[0684] Furthermore, the server automatically generates sound elements such as music and sound effects. By generating sounds that match the atmosphere and theme specified by the user, it makes the virtual environment more interactive and immersive. It also receives feedback on how the user evaluates the experience and fine-tunes the output as needed.

[0685] As a concrete example, if a user enters a prompt such as, "Please create a virtual shop with relaxing classical music playing. The customer service character should speak in a gentle manner," the system will analyze this and build the virtual environment based on the characteristics of the corresponding music and character.

[0686] This system utilizes technologies such as generative AI models and emotion analysis engines to design and deliver optimal virtual experiences tailored to the individual needs of each user.

[0687] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0688] Step 1:

[0689] The user inputs information about the theme, story, and characters through the terminal. This becomes a prompt message to the system, and the terminal sends this input data to the server. Since the input includes the user's preferences and expectations, the prompt message is the starting point for system processing.

[0690] Step 2:

[0691] The server analyzes the received prompt text and automatically generates narrative components using a generative AI model. The input here is the user's prompt text; the server analyzes the data and designs a hypothetical narrative structure. The result of this process is an outline of the story.

[0692] Step 3:

[0693] The server automatically generates character traits based on the story's constituent elements. The input is the story outline obtained in step 2, and the server uses this to design the characters' appearances, personalities, and abilities, outputting specific character settings.

[0694] Step 4:

[0695] The server uses the characteristics of the generated characters as input data to automatically generate rules and behavior patterns. Here, the principles of character behavior and dynamic elements in the story progression are designed, and elements to enhance playability are output.

[0696] Step 5:

[0697] The server automatically generates executable scripts based on the generated rules and behavioral patterns. In this step, the output from step 4 is used to create and output the program code necessary for the story or game to function.

[0698] Step 6:

[0699] The server automatically generates sound elements such as music and sound effects based on the theme included in the user's prompt text. The server analyzes the user's input, uses a generation AI model to generate sounds that match the atmosphere, and outputs the musical elements of the virtual environment.

[0700] Step 7:

[0701] Users evaluate the virtual experience generated through their device and send feedback to the server. The server analyzes this feedback and readjusts the generated elements as needed, thereby providing a virtual environment that meets the user's expectations.

[0702] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0703] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0704] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0705] [Fourth Embodiment]

[0706] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0707] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0708] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0709] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0710] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0711] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0712] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0713] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0714] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0715] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0716] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0717] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0718] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0719] This invention begins with the user inputting a game idea into a terminal. The user inputs information including a specific story, game theme, and character settings. When the user's input sent to the terminal reaches the server, the server uses a generative AI model to automatically generate the constituent elements of the story.

[0720] The server then uses the generated story to define the characteristics of the characters. In this process, the characters' appearances, personalities, and abilities are automatically determined. The server then takes these character characteristics into account when forming the game's rules and behavioral patterns. This includes elements that influence player control and game progression.

[0721] Furthermore, the server uses a code generation engine to automatically generate executable scripts based on the generated rules and behavioral patterns. This completes the program necessary for the game to actually run. The server then uses an AI model to create sound to enhance the game's atmosphere and integrates music and sound effects into the game system.

[0722] After receiving these automatically generated elements, users provide feedback to the server via their device. This feedback is crucial in the process of improving the output, and the server adjusts the parameters of the generating AI based on the received evaluation, improving each component as needed. In this way, even beginners and small development teams can efficiently develop high-quality games.

[0723] The following describes the processing flow.

[0724] Step 1:

[0725] The user uses their device to input basic concepts such as the game's theme, story, and characters, and then sends them to the server.

[0726] Step 2:

[0727] The server analyzes the user's input and uses a generative AI model to automatically generate story elements based on the input information. These elements include the story's plot, setting, and key points.

[0728] Step 3:

[0729] The server automatically generates character characteristics based on the generated story elements. Here, the character's appearance, personality, and background are determined, and character design is carried out based on these.

[0730] Step 4:

[0731] The server automatically generates game rules and action patterns based on the characteristics of the characters, while taking various game mechanics into consideration. In this step, the interaction and player control methods, which are appropriate for the game genre, are also specified.

[0732] Step 5:

[0733] The server generates executable script code based on the rules and behavior patterns generated in the previous step. This enables the implementation of basic game logic and character behavior control.

[0734] Step 6:

[0735] The server automatically generates music and sound effects that match the overall atmosphere of the game using AI, creating the game's soundtrack. The generated sounds are then appropriately placed to enrich the gaming experience.

[0736] Step 7:

[0737] Users play a game prototype generated through their device and then provide evaluations and feedback on its content to the server.

[0738] Step 8:

[0739] The server analyzes the user feedback it receives and, if necessary, regenerates the output of the AI ​​to adjust and improve it. This step optimizes the content to reflect the user's needs.

[0740] (Example 1)

[0741] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0742] Traditional game development has faced challenges such as the significant time and effort required for structuring the story, designing characters, and formulating game rules, as well as the difficulty in maintaining consistency between different elements. This has made it particularly difficult for small development teams or inexperienced developers to efficiently develop games while maintaining overall quality. Therefore, this invention aims to solve these problems.

[0743] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0744] In this invention, the server includes means for receiving user input and automatically generating conceptual components based on said input, means for automatically generating role characteristics based on the generated conceptual components, and means for automatically generating rules and behavioral patterns based on the generated role characteristics. This enables the rapid and efficient materialization of user ideas and the development of high-quality games while maintaining consistency between each element.

[0745] A "user" refers to someone who uses the system to input and evaluate new content ideas.

[0746] "Input" refers to information that users provide to the system through their device, such as concepts, stories, and character settings.

[0747] "Concept" refers to the basic framework of a story or game that is generated based on information entered by the user.

[0748] "Component elements" refer to the fundamental elements necessary for the development of a story or game, such as the plot progression and the roles of the characters.

[0749] "Role" refers to the specific function or characteristics of a character or element within a story or game.

[0750] "Characteristics" refer to features such as appearance, nature, and abilities associated with a role.

[0751] "Rules" refer to the rules regarding gameplay and progression within the game.

[0752] "Action patterns" refer to the regularity of a character's actions or the behavior of in-game systems.

[0753] A "procedure" refers to an operable program or code designed to achieve a specific purpose.

[0754] "Evaluation" refers to user feedback and opinions on the generated content, and system improvements are made based on this feedback.

[0755] "Sound" refers to auditory elements in games, such as music and sound effects.

[0756] This invention begins with the user inputting a game idea. The user uses a terminal to input details such as the story theme, character settings, and game mechanics. The terminal is provided with a dedicated interface, allowing the user to input information in text format. For example, the user might input an idea such as, "An adventure RPG set in a medieval fantasy world, where the player becomes a knight who confronts dragons."

[0757] The input information is sent from the terminal to the server. The server receives this information and uses a generative AI model to materialize the user's idea. A large-scale language model specialized in string generation is used as the generative AI model. The server provides the user's input to this generative AI model as a prompt. An example of a prompt is, "Please create a medieval fantasy adventure story."

[0758] The server automatically generates character traits based on the narrative elements created by the generative AI model. Here, specific attributes such as character appearance, personality, and abilities are clarified. Based on these generated traits, the server further forms the game's rules and behavior patterns. At this stage, elements such as how the player controls the characters and how the game unfolds are concretized.

[0759] Next, the server uses a code generation engine to automatically generate executable scripts based on the generated rules and behavioral patterns. These scripts are designed for game engines such as Unity and Unreal Engine. This creates the foundation for the story and characters to function as an actual game.

[0760] Finally, the server uses a generative AI model to generate sounds that enhance the game's atmosphere and integrate them into the sound system. Sounds such as medieval-style symphonic music and dragon roars are generated, contributing to the immersive experience of the game.

[0761] Users receive these automatically generated game elements, play them, and then provide feedback to the server via their device. This feedback is used to improve the system, enabling the delivery of high-quality content that meets user expectations once again.

[0762] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0763] Step 1:

[0764] The user uses a terminal to input game ideas. Here, the user fills in details such as the story theme, character settings, and game mechanics using the terminal's input interface. For example, they might enter a theme such as "a sci-fi action game set in a futuristic city." The entered data is sent to the server as structured data, such as in JSON format.

[0765] Input: User's game idea

[0766] Output: Structured data from terminal to server

[0767] Step 2:

[0768] The server receives data from the terminal and constructs prompts for the generating AI model. Specifically, it analyzes the user's input data to generate prompts that are easy for the generating AI model to understand. A prompt such as "Create a story set in a futuristic city" is used. The server sends these prompts to the generating AI model, which then generates elements of the story.

[0769] Input: Structured data from the device

[0770] Output: Prompts for the generated AI model

[0771] Step 3:

[0772] The generative AI model automatically generates story elements based on prompts received from the server. These include the story's plot, key scenes, and backstory. The generated story elements are returned to the server, which then stores them.

[0773] Input: Prompt message

[0774] Output: Components of a story

[0775] Step 4:

[0776] The server analyzes the generated story elements and automatically generates character traits. Here, the character's appearance, personality, and abilities are automatically determined. For example, a character setting such as "a highly intelligent detective in a futuristic city" is generated.

[0777] Input: Story elements

[0778] Output: Character characteristics

[0779] Step 5:

[0780] The server forms the game's rules and behavior patterns based on the characteristics of the generated characters. Specifically, it automatically generates player controls and character behavior rules, and verifies them through simulation.

[0781] Input: Character characteristics

[0782] Output: Game rules and behavior patterns

[0783] Step 6:

[0784] The server uses a code generation engine to automatically generate executable steps based on the generated rules and behavioral patterns. These steps are output in script format, making them executable within game engines such as Unity and Unreal Engine.

[0785] Input: Game rules and behavior patterns

[0786] Output: Executable steps (script)

[0787] Step 7:

[0788] The server uses a generative AI model to generate sound to enhance the game's atmosphere and integrates it into the game system. Medieval-style symphonic music and captivating sound effects are automatically generated.

[0789] Input: Game elements including story and characters

[0790] Output: Audio

[0791] Step 8:

[0792] The user receives game elements generated through their device and plays them. After playing, they send feedback from their device to the server. The server uses this feedback to adjust the generated AI model and improve each component.

[0793] Input: Generated game elements

[0794] Output: User feedback

[0795] (Application Example 1)

[0796] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0797] In the modern era, creating game content by individuals or small development groups faces high technical hurdles, making it difficult for users without specialized skills. Furthermore, the real-time generation process required to provide interactive experiences is challenging, limiting rapid development cycles and intuitive user creativity. There is a need to solve these problems and create an environment where users can easily provide valuable gaming experiences.

[0798] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0799] In this invention, the server includes means for receiving user input and automatically generating story elements based on said input; means for automatically generating character characteristics based on the generated story elements; means for automatically generating rules and behavior patterns based on the generated character characteristics; means for automatically generating executable commands based on the rules and behavior patterns; means for automatically generating sounds suitable for the story and characters; means for receiving user evaluations of each generated piece of content and adjusting the output results based on said evaluations; and means for recognizing user voice input and generating game content in real time using a generation AI. This makes it possible to create and experience advanced game content in an intuitive way without requiring specialized skills.

[0800] "User input" refers to voice and text information provided by the user via their device, including story ideas, themes, and character settings related to the game's concept.

[0801] "Story elements" refer to the basic structural components related to the story, including the plot, theme, and the order in which the scenario progresses.

[0802] "Character characteristics" refer to individual traits of a character, such as their appearance, personality, and abilities.

[0803] "Rules" refer to the rules or guidelines that influence player behavior within a game.

[0804] An "action pattern" refers to a series of actions or reactions that a game character or object should take.

[0805] "Executable instructions" refer to the program code or scripts that actually make the generated game structure work.

[0806] "Sound" refers to auditory elements such as music and sound effects used to enrich the gaming experience.

[0807] "Generative AI" refers to a system that uses artificial intelligence technology to automatically generate new content based on data.

[0808] "Real-time generation" refers to the process of creating new content in response to user input and providing it on the spot.

[0809] "User ratings" refer to feedback from users regarding the generated game content, including information such as satisfaction levels and areas for improvement.

[0810] This invention is a system in which a user inputs a game idea, and based on that idea, advanced game content is generated. The system consists of the user's terminal and a server in the cloud. User input is sent from the terminal to the server as voice or text, and the server processes this to generate game content.

[0811] The server uses speech recognition technology to convert the user's voice input into text data. Specifically, it uses a speech recognition library to process the voice input. The converted input data is then used with a generative AI to automatically generate story elements, determining character characteristics, rules, and behavior patterns.

[0812] The generation AI generates content using a specified prompt. This prompt includes background information for a story based on the user's idea. One example is: "Generate a story, character settings, and rules from a game idea: Dragon slaying in an ancient castle."

[0813] The generated content includes music and sound effects to provide a comprehensive gaming experience that incorporates audio elements. This allows users to enjoy an immersive gaming experience that appeals to both their visual and auditory senses.

[0814] The user's evaluation of the game is fed back to the server via the device. Based on these evaluations, the server adjusts the parameters of the generative AI model to improve the content. The hardware used consists of a microphone to capture the user's voice and a display to show the generated content, while the software consists of a speech recognition library and a generative AI coding engine.

[0815] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0816] Step 1:

[0817] Users input game ideas via voice through their devices. This input includes the game's story, character settings, and theme.

[0818] Step 2:

[0819] The device converts the voice input into a digital signal, and then uses a speech recognition library to convert this into text data. The input is voice data, and the output is text data.

[0820] Step 3:

[0821] The server analyzes the received text data and generates prompt sentences for the AI ​​model. These prompt sentences include background information about the game based on the user's ideas. The input is text data, and the output is prompt sentences.

[0822] Step 4:

[0823] The server uses an AI model to automatically generate story elements, character traits, rules, and behavior patterns based on prompt text. The input is prompt text, and the output is various game content elements.

[0824] Step 5:

[0825] The server generates music and sound effects suitable for the automatically generated game content. This includes sound elements that correspond to the theme of the generated story and the actions of the characters. The input is the game content elements, and the output is music and sound effects.

[0826] Step 6:

[0827] The device integrates the generated game content and audio, presenting it to the user in real time, audiovisually and audibly. The input is game content and audio data, and the output is the game the user experiences.

[0828] Step 7:

[0829] Users provide feedback via their devices after experiencing the game. This feedback includes user satisfaction and areas for improvement.

[0830] Step 8:

[0831] The server adjusts the parameters of the generated AI model based on the feedback it receives, improving the game content as needed. The input is user feedback, and the output is information for adjustments to be made for the next content generation.

[0832] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0833] This invention begins with the user inputting the basic concept of the game via a terminal. This input includes the game's theme, story, and characters. The terminal sends the user input to a server, which receives and analyzes it, then uses a generative AI model to automatically generate the narrative components.

[0834] Furthermore, the server generates character traits. This process considers not only personality and appearance, but also emotional information related to the user's input data. The emotion engine analyzes user input and responses to recognize the user's emotional state. Based on the emotions recognized by the emotion engine, the story and character traits can be dynamically customized. For example, if the user prefers tension, the story will become more thrilling, and the characters' personalities and backgrounds will be adjusted accordingly.

[0835] Next, the server automatically generates game rules and action patterns from the characteristics of the generated characters. This process takes into account the playability of the player character and important elements of game progression. The action patterns can also be fine-tuned based on the user's emotional state as indicated by the emotion engine.

[0836] The server then generates executable scripts based on these elements, creating the basic operating environment for the game. In addition, sound effects, music, and audio are automatically generated using AI to enhance the game's atmosphere.

[0837] Users play a prototype of this game through their devices and send feedback and ratings to the server. The server analyzes this feedback, re-evaluates the user's emotions through an emotion engine, and regenerates or adjusts elements of the game as needed to provide the user with the best possible experience. This system allows even beginners and small development teams to efficiently develop high-quality, personalized games based on user emotions.

[0838] The following describes the processing flow.

[0839] Step 1:

[0840] The user inputs the basic concept of the game and desired elements through their device and sends this information to the server.

[0841] Step 2:

[0842] The server analyzes the user's input and uses a generative AI model to automatically generate the story's components. At this stage, the story's plot and progression are determined.

[0843] Step 3:

[0844] The server then automatically generates character traits based on the generated story. This is where the characters' appearances, personalities, and backgrounds are given concrete details.

[0845] Step 4:

[0846] The server utilizes an emotion engine to analyze the user's past response data and the nuances of their current input to recognize their emotional state. Based on this information, the story and characters are adjusted to match the user's emotions.

[0847] Step 5:

[0848] The server generates game rules and behavior patterns based on the characteristics of the characters and the user's emotional state. This step takes into account the player interaction in the game.

[0849] Step 6:

[0850] Based on the generated rules and behavioral patterns, the server automatically generates executable scripts. This creates the program that enables the basic functions of the game.

[0851] Step 7:

[0852] The server uses a generation AI to automatically generate in-game music and sound effects in a style that suits the user's emotions, creating a suitable sound environment.

[0853] Step 8:

[0854] Users play a prototype of the game on their devices and provide feedback. This feedback is crucial information for improving the gameplay experience.

[0855] Step 9:

[0856] The server analyzes user feedback, uses an emotion engine to recognize the user's new emotional states, and optimizes the generated content. This adjusts the game experience to be more suitable for the user.

[0857] (Example 2)

[0858] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0859] In game development, creating a game experience optimized for individual user emotions and preferences is difficult for beginners and small development teams. With traditional technologies, customizing stories and characters based on user input is cumbersome, and adjusting rules and behavior patterns is not easy. This leads to increased development costs and makes efficient game development difficult.

[0860] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0861] In this invention, the server includes means for receiving user input and automatically generating story elements based on said input, means for automatically generating rules and behavioral patterns based on the characteristics of the generated characters and the user's emotional information, and means for receiving the user's evaluation of each generated piece of content and readjusting the output results based on the emotional state. This makes it possible to efficiently generate a personalized game experience that reflects the user's emotions and preferences, and to provide a high-quality game while keeping development costs down.

[0862] "User input" refers to information about the game's concept, theme, story, and characters provided by the user via their device.

[0863] "Story elements" refer to the structure and scenario of a story generated based on user input, and form the game's storyline.

[0864] "Characteristics of the characters" refers to the personality, appearance, and role of characters who play an important role in the story, and is linked to the elements of the generated narrative.

[0865] "User emotional information" refers to data that analyzes the emotional state obtained from user input and responses, and is used to customize stories and characters.

[0866] "Rules and behavior patterns" refer to in-game behaviors and progression conditions defined based on the characteristics of the generated characters and the user's emotional information, and they define the controls for gameplay.

[0867] An "executable script" is code generated based on rules and behavioral patterns, and is executed to control the basic operation of the game.

[0868] "Audio content" refers to music and sound effects that are appropriate for the story and characters, and is automatically generated using AI, enriching the atmosphere of the game experience.

[0869] "User ratings" refer to the feedback and opinions that users give about the generated game content, and are important data used for future generation and adjustments.

[0870] "Re-adjusting output results based on emotional state" is a process that regenerates or adjusts game elements based on user evaluations and emotional information to provide the user with the optimal gaming experience.

[0871] This invention is a system in which a user inputs the basic concept of a game via a terminal, and a server automatically generates the game based on that data. Specifically, the user uses the terminal's interface to input information about the game's theme, story outline, and characters. For example, the user can input text such as, "I want to go on an adventure exploring a forest. The characters will be a brave knight and a wise witch. Please consider the user's comfort in the story."

[0872] The terminal sends the user's input information to the server. The server analyzes the received data and automatically generates story elements using a generative AI model. The generative AI model employs natural language processing technology. This generates constituent elements based on the input theme and story.

[0873] Next, the server generates character traits based on the story elements. This process again utilizes a generative AI model, automatically determining the character's appearance, personality, and abilities. An emotion engine is also used, taking the user's emotional state into account. This allows the character to be customized according to the user's preferences.

[0874] Furthermore, the server automatically generates game rules and action patterns based on the characteristics of the generated characters and the user's emotional information. These generated rules and patterns are crucial elements in the game's progression and serve as the basis for determining its playability.

[0875] The server then generates executable scripts and sets up the basic operating environment for the game. During this process, a generation AI is used to automatically generate sound content (music and sound effects) to enhance the game's atmosphere.

[0876] Users can play a prototype of the game generated using their device. After playing, users send feedback to the server via their device. The server analyzes this feedback and, if necessary, uses an emotion engine to readjust various elements of the game. Ultimately, the optimal gaming experience for the user is provided.

[0877] This system allows users to efficiently generate personalized games tailored to their individual emotions and preferences, making high-quality game development effective and easy, especially for beginners and small development teams.

[0878] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0879] Step 1:

[0880] The user inputs the game's basic concept through their device. Specifically, they input the game's theme, story outline, and characters in text format. This allows the user's desired game elements to be passed to the device as input data.

[0881] Step 2:

[0882] The terminal sends the user's input data to the server. At this time, the input data is formatted into a data package to ensure it reaches the server accurately. The server receives this data and prepares it for the next analysis process.

[0883] Step 3:

[0884] The server analyzes the received data and automatically generates story elements using a generative AI model. This process uses natural language processing to analyze text data and outputs a storyline based on the user's requested concept. For example, based on prompt sentences, the main events and settings of the story are generated.

[0885] Step 4:

[0886] The server uses a generative AI model to generate character traits based on elements of the story. Here, the character's appearance, personality, and role are determined, and an emotion engine is used to adjust them to the user's emotional state. This results in customized character information being output.

[0887] Step 5:

[0888] The server automatically generates game rules and behavior patterns, taking into account the characteristics of the generated characters and the user's emotional information. This step defines how each character is controlled and the flow of game progression. These elements are combined and output as foundational information for gameplay.

[0889] Step 6:

[0890] The server generates executable scripts based on rules and behavioral patterns. These generated scripts control the game's basic operations and are used to build the operating environment. This output can be directly executed as a game prototype.

[0891] Step 7:

[0892] The server automatically generates audio content using a generation AI. Music and sound effects appropriate to the story and characters are generated, enhancing the game's atmosphere. This audio data is also output as part of the game.

[0893] Step 8:

[0894] Users play a prototype of the generated game using their devices. Feedback from this stage is sent from the device to the server. This allows for the collection of user evaluations and impressions of the game experience.

[0895] Step 9:

[0896] The server analyzes the collected feedback and uses an emotion engine to readjust each element of the game as needed. It fine-tunes the output to provide an optimized gaming experience and delivers a version optimized for the user.

[0897] (Application Example 2)

[0898] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0899] In virtual environments, it is challenging to appropriately adjust the environment according to individual user preferences and themes, thereby providing a personalized experience. In particular, being able to reflect the atmosphere and interaction elements desired by users in real time can significantly improve the user experience. There is a need for systems that can meet these requirements.

[0900] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0901] In this invention, the server includes means for receiving user input and automatically generating narrative elements, means for automatically generating character characteristics based on the generated narrative elements, and means for analyzing the user's themes and preferences and dynamically adjusting the atmosphere and interaction elements of the virtual environment. This makes it possible to provide a virtual experience optimized for each individual user.

[0902] "User input" refers to information that the user provides to the system, specifying elements related to the story, characters, or virtual environment.

[0903] "Means for automatically generating narrative components" refers to a function that automatically creates the specific plot development and scenario of a story based on user input.

[0904] "Methods for automatically generating character characteristics" refer to systems that automatically generate characteristics such as the appearance, personality, and abilities of characters appearing in a story.

[0905] "Means for automatically generating rules and behavioral patterns" refers to a function that automatically designs the behavioral principles and operating methods of the story, the characters within the game, and the overall system, based on the characteristics of the generated characters.

[0906] "Means for automatically generating executable scripts" refers to a function that automatically creates program code for the system to operate based on the generated rules and behavioral patterns.

[0907] "Means for automatically generating sound" refers to a system that automatically creates music and sound effects suitable for the story and characters.

[0908] "Means for receiving user evaluations and adjusting output results" refers to a function that receives feedback information from users, adjusts the generated content based on that feedback, and provides more appropriate results.

[0909] "Means for analyzing user themes and preferences and dynamically adjusting the atmosphere and interaction elements of the virtual environment" refers to a function that analyzes the themes and preferences of the user, adjusts the visual and operational elements within the virtual environment in real time, and provides a different experience for each user.

[0910] In the system for implementing this invention, a server plays a central role. Users input information about their concepts and preferences using smartphones or other devices. This collected information is transmitted to the server via the network. The server analyzes the input data and automatically generates narrative and character components using a generative AI model.

[0911] Specifically, the server analyzes the user's theme, story, and character settings, and designs a narrative structure that suits them. Furthermore, it automatically generates characteristics such as the appearance, personality, and abilities of the characters. This results in a world view and character settings that reflect the user's preferences.

[0912] Next, the server designs rules and behavior patterns based on the characteristics of the generated characters. This design includes how characters behave under specific conditions and the operating principles of the entire system. Based on these, the server automatically generates executable scripts to ensure that the story and game content run smoothly.

[0913] Furthermore, the server automatically generates sound elements such as music and sound effects. By generating sounds that match the atmosphere and theme specified by the user, it makes the virtual environment more interactive and immersive. It also receives feedback on how the user evaluates the experience and fine-tunes the output as needed.

[0914] As a concrete example, if a user enters a prompt such as, "Please create a virtual shop with relaxing classical music playing. The customer service character should speak in a gentle manner," the system will analyze this and build the virtual environment based on the characteristics of the corresponding music and character.

[0915] This system utilizes technologies such as generative AI models and emotion analysis engines to design and deliver optimal virtual experiences tailored to the individual needs of each user.

[0916] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0917] Step 1:

[0918] The user inputs information about the theme, story, and characters through the terminal. This becomes a prompt message to the system, and the terminal sends this input data to the server. Since the input includes the user's preferences and expectations, the prompt message is the starting point for system processing.

[0919] Step 2:

[0920] The server analyzes the received prompt text and automatically generates narrative components using a generative AI model. The input here is the user's prompt text; the server analyzes the data and designs a hypothetical narrative structure. The result of this process is an outline of the story.

[0921] Step 3:

[0922] The server automatically generates character traits based on the story's constituent elements. The input is the story outline obtained in step 2, and the server uses this to design the characters' appearances, personalities, and abilities, outputting specific character settings.

[0923] Step 4:

[0924] The server uses the characteristics of the generated characters as input data to automatically generate rules and behavior patterns. Here, the principles of character behavior and dynamic elements in the story progression are designed, and elements to enhance playability are output.

[0925] Step 5:

[0926] The server automatically generates executable scripts based on the generated rules and behavioral patterns. In this step, the output from step 4 is used to create and output the program code necessary for the story or game to function.

[0927] Step 6:

[0928] The server automatically generates sound elements such as music and sound effects based on the theme included in the user's prompt text. The server analyzes the user's input, uses a generation AI model to generate sounds that match the atmosphere, and outputs the musical elements of the virtual environment.

[0929] Step 7:

[0930] Users evaluate the virtual experience generated through their device and send feedback to the server. The server analyzes this feedback and readjusts the generated elements as needed, thereby providing a virtual environment that meets the user's expectations.

[0931] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0932] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0933] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0934] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0935] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0936] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0937] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0938] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0939] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0940] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0941] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0942] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0943] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0944] 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.

[0945] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0946] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0947] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0948] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0949] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0950] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0951] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0952] The following is further disclosed regarding the embodiments described above.

[0953] (Claim 1)

[0954] A means for receiving user input and automatically generating narrative components based on said input,

[0955] A means for automatically generating character characteristics based on the constituent elements of the generated story,

[0956] A means for automatically generating rules and behavioral patterns based on the characteristics of the generated characters,

[0957] A means for automatically generating executable scripts based on the said rules and behavioral patterns,

[0958] A means for automatically generating sounds suitable for the story and its characters,

[0959] A means for receiving user ratings for each generated piece of content and adjusting the output results based on those ratings,

[0960] A system that includes this.

[0961] (Claim 2)

[0962] The system according to claim 1, characterized in that, in generating a storyboard, it includes means for analyzing user input data and outputting a plot that includes the order in which the story progresses.

[0963] (Claim 3)

[0964] The system according to claim 1, characterized in that, in generating the characteristics of a character, it automatically generates appearance, personality, and abilities and presents them to the user.

[0965] "Example 1"

[0966] (Claim 1)

[0967] A means for receiving user input and automatically generating conceptual components based on said input,

[0968] A means for automatically generating role characteristics based on the constituent elements of the generated concept,

[0969] Means for automatically generating rules and behavioral patterns based on the characteristics of the generated role,

[0970] A means for automatically generating executable procedures based on the rules and operating patterns,

[0971] Means for automatically generating sounds suitable for the components and roles,

[0972] A means for receiving user evaluations for each generated content and adjusting the output results based on those evaluations,

[0973] A system that includes this.

[0974] (Claim 2)

[0975] The system according to claim 1, characterized in that it includes means for analyzing user input data and outputting a presentation including the order of progression in the information structure.

[0976] (Claim 3)

[0977] The system according to claim 1, characterized in that, in generating the characteristics of a role, it automatically generates appearance, properties, and functions and presents them to the user.

[0978] "Application Example 1"

[0979] (Claim 1)

[0980] A means for receiving user input and automatically generating story elements based on said input,

[0981] A means of automatically generating character characteristics based on the elements of the generated story,

[0982] A means for automatically generating rules and behavior patterns based on the characteristics of the generated character,

[0983] A means for automatically generating executable commands based on the rules and operating patterns,

[0984] A means for automatically generating sound suitable for the story and characters,

[0985] A means for receiving user ratings for each generated piece of content and adjusting the output results based on those ratings,

[0986] A means of recognizing user voice input and generating game content in real time using a generation AI,

[0987] A system that includes this.

[0988] (Claim 2)

[0989] The system according to claim 1, characterized by comprising means for visually providing the user with game content generated using prompt statements.

[0990] (Claim 3)

[0991] The system according to claim 1, characterized in that it dynamically adjusts the parameters of the generating AI model based on an evaluation of the generated game content.

[0992] "Example 2 of combining an emotion engine"

[0993] (Claim 1)

[0994] A means for receiving user input and automatically generating story elements based on said input,

[0995] A means of automatically generating character traits based on elements of the generated story,

[0996] A means for automatically generating rules and behavioral patterns based on the characteristics of the generated characters and the user's emotional information,

[0997] A means for automatically generating executable scripts based on the said rules and behavioral patterns,

[0998] A means for automatically generating audio content suitable for the story and its characters,

[0999] A means of receiving user ratings for each generated piece of content and readjusting the output results based on the emotional state,

[1000] A system that includes this.

[1001] (Claim 2)

[1002] The system according to claim 1, characterized in that, in generating a story, it includes means for analyzing user input data and outputting a plot that includes the order in which the story progresses.

[1003] (Claim 3)

[1004] The system according to claim 1, characterized in that, in generating the characteristics of a character, it automatically generates appearance, personality, and abilities, adjusts them based on emotional information, and presents them to the user.

[1005] "Application example 2 of combining emotional engines"

[1006] (Claim 1)

[1007] A means for receiving user input and automatically generating narrative components based on said input,

[1008] A means for automatically generating character characteristics based on the constituent elements of the generated story,

[1009] A means for automatically generating rules and behavioral patterns based on the characteristics of the generated characters,

[1010] A means for automatically generating executable scripts based on the said rules and behavioral patterns,

[1011] A means for automatically generating sounds suitable for the story and its characters,

[1012] A means for receiving user ratings for each generated piece of content and adjusting the output results based on those ratings,

[1013] A means for analyzing the user's themes and preferences and dynamically adjusting the atmosphere and interaction elements of the virtual environment,

[1014] A system that includes this.

[1015] (Claim 2)

[1016] The system according to claim 1, characterized in that, in generating a storyboard, it includes means for analyzing user input data and outputting a plot that includes the order in which the story progresses.

[1017] (Claim 3)

[1018] The system according to claim 1, characterized in that, in generating the characteristics of a character, it automatically generates appearance, personality, and abilities, presents them to the user, and further optimizes the interaction in the virtual environment based on the user's preferences. [Explanation of symbols]

[1019] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for receiving user input and automatically generating narrative components based on said input, A means for automatically generating character characteristics based on the constituent elements of the generated story, A means for automatically generating rules and behavioral patterns based on the characteristics of the generated characters, A means for automatically generating executable scripts based on the said rules and behavioral patterns, A means for automatically generating sounds suitable for the story and its characters, A means for receiving user ratings for each generated piece of content and adjusting the output results based on those ratings, A system that includes this.

2. The system according to claim 1, characterized in that, in generating a storyboard, it includes means for analyzing user input data and outputting a plot that includes the order in which the story progresses.

3. The system according to claim 1, characterized in that, in generating the characteristics of a character, it automatically generates appearance, personality, and abilities and presents them to the user.

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