System

Abstract

A system is provided.SOLUTION: A system comprising: means for providing an interface for a user to input genres, characters, and keywords; server means for receiving and analyzing the input information; generation and AI means for generating an initial story and characters based on the analyzed information; means for presenting options to the user at branch points as the story progresses; generation and AI means for updating the story and characters based on the user's options; and means for generating and providing a final story in text or video form to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Conventional entertainment content is produced based on the needs of the masses, making it difficult to fully adapt to the preferences of individual viewers. As a result, individual users face challenges in finding content that suits their preferences. Furthermore, interactive content generation through audience participation has not become widespread due to technical limitations and cost issues. Therefore, there is a need for a system that generates customizable entertainment content in real time, fully adapting to the preferences of individual users. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems with a system that includes a means for providing an interface for users to input genres, characters, and keywords, a server means for receiving and analyzing the input information, a generation AI means for generating an initial story and characters based on the analyzed data, a means for presenting choices to the user at branching points as the story progresses, a generation AI means for updating the story and characters based on the user's choices, and a means for generating a final story in text or video format and providing it to the user, thereby allowing users to have a special entertainment experience that is completely tailored to their preferences and realizing interactive content that allows audience participation.

[0006] "User" means an individual who uses the System to customize and view entertainment content.

[0007] An "interface" is a means by which a user inputs genres, characters, and keywords.

[0008] A "genre" is a category that indicates the classification of stories or entertainment content.

[0009] "Characters" are elements such as people, animals, and fictional creatures that appear in a story.

[0010] "Keywords" are words or phrases that describe the story development or specific elements that a user desires.

[0011] A "server" is an information processing device that receives input information from users and issues instructions to the analysis and generation AI.

[0012] "Analysis" is the process of deciphering data based on information received from the user and issuing appropriate generation instructions.

[0013] "Generative AI" is an artificial intelligence technology that generates and updates stories and characters based on analyzed data.

[0014] A "narrative" is a series of stories generated based on genre, characters, and keywords.

[0015] "Character generation" is the process of creating the characters, animals, and fictional creatures that appear in a story.

[0016] A "branching point" is a point during the story where the story unfolds in a different direction depending on the choice the user makes.

[0017] "Choices" are multiple selectable options presented to a user.

[0018] "Updates" refers to changes to the story or characters based on user choices.

[0019] "Text format" refers to a narrative format that is presented as text.

[0020] "Video format" is a narrative format that is presented as a video. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0022] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0023] First, the terms used in the following description will be explained.

[0024] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0025] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0026] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0027] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0028] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0032] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0033] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0034] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0035] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0036] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0039] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0040] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0041] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0042] This invention is a system in which a user inputs genres, characters, and keywords, and a generation AI generates individual entertainment content based on that information. Specific embodiments based on the program of this system are described below.

[0043] Providing an interface

[0044] The user inputs genre, characters, and keywords through the device interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface includes text boxes, selection options, and image upload options.

[0045] Receiving and analyzing information

[0046] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into a dataset to provide instructions to the generation AI.

[0047] Generative AI for early story and character generation

[0048] Based on the analyzed data, the server instructs the AI ​​to generate a story and characters. The AI ​​receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing off against a dragon may be generated. The generated story and characters are then sent to the device via the server.

[0049] User selection at branch points

[0050] As the story progresses, the user is presented with choices at certain branching points. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed. The user selects and inputs the desired option via the terminal.

[0051] Choice-based story updates

[0052] The user's choices are sent from the device to the server, which analyzes them and instructs the AI ​​to develop a new story. The AI ​​then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," a scene will be added in which the swordsman enters the forest and finds new allies.

[0053] Ongoing Customization

[0054] As the story progresses, users can further customize the story by entering additional keywords, images, etc. The device sends this new information to the server, which then incorporates it into the generating AI.

[0055] Final narrative output

[0056] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format. The generation AI then generates an entertainment piece based on this data and returns the data to the server. The server then sends the generated story to the device, allowing the user to watch or read it.

[0057] Specific examples

[0058] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story "An adventure in which a swordsman faces a dragon" will be generated. As the story progresses, the options "Forest Path," "Water Path," and "Fire Path" will be presented. If the user chooses "Forest Path," an additional plot will be added in which the swordsman enters the forest and finds a new wizard companion. Ultimately, the user can enjoy their own special entertainment.

[0059] In this way, the generative AI generates and updates stories and characters based on user input, providing users with a customized entertainment experience.

[0060] The processing flow will be explained below.

[0061] Step 1:

[0062] The user inputs genre, characters, and keywords through the terminal interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[0063] Step 2:

[0064] The terminal receives the information entered by the user and formats it into a data format such as JSON, and then sends this formatted data to the server.

[0065] Step 3:

[0066] The server parses the JSON data received from the device and divides it into categories such as genre, character, and keyword.

[0067] Step 4:

[0068] The server then issues instructions to the AI ​​based on the analyzed data, specifically instructing it to generate an initial story and characters based on the genre and characters entered by the user.

[0069] Step 5:

[0070] The AI ​​receives instructions from the server and generates the initial story and characters. For example, it might generate a story about an adventure in which a swordsman faces off against a dragon. The generated data is then returned to the server.

[0071] Step 6:

[0072] The server receives the initial story and character data returned by the generation AI and sends it to the device.

[0073] Step 7:

[0074] The terminal displays the received initial story and characters to the user.

[0075] Step 8:

[0076] As the story progresses, when a certain branching point appears, the device will present the user with a choice of options, such as "Which path should the swordsman take to defeat the dragon: the path of the forest, the path of water, or the path of fire?"

[0077] Step 9:

[0078] The user selects the desired option from the options presented and inputs the selection into the terminal.

[0079] Step 10:

[0080] The device sends the user's selection to the server, where the selection data is again formatted in JSON or similar format.

[0081] Step 11:

[0082] The server receives and analyzes the user's selection data, then issues new instructions to the generation AI, specifically instructing it to update the story and characters based on the new choices.

[0083] Step 12:

[0084] The AI ​​receives new instructions from the server and updates the story and characters based on the user's choices. For example, if the user chooses the "Forest Path," an episode will be added in which the swordsman enters the forest and meets new allies.

[0085] Step 13:

[0086] The server receives the updated data returned from the generation AI and sends it to the terminal.

[0087] Step 14:

[0088] The device displays the updated story and characters to the user, and this process is repeated to progress the story.

[0089] Step 15:

[0090] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format.

[0091] Step 16:

[0092] The generation AI generates the final story in the specified format and returns the data to the server.

[0093] Step 17:

[0094] The server transmits the completed story data to the terminal.

[0095] Step 18:

[0096] The terminal allows the user to watch or read the ultimate entertainment.

[0097] Example 1

[0098] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0099] Conventional entertainment content generation systems have had difficulty generating individually customized stories based on user input. They also lacked the ability to provide real-time options at branching points in the story and update the story based on those choices. Furthermore, the final output format of the generated content was limited, making it difficult to improve the user experience.

[0100] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0101] In this invention, the server includes means for formatting input information into JSON or XML format and sending it to the server, means for analyzing the received data, classifying it by genre, character, and keyword, and issuing instructions to the generation AI, and means for generating an initial story and characters using a generation AI model (e.g., a generation AI model based on a natural language processing model). This enables the generation and updating of a customized story in real time based on the information input by the user, and the final story can be provided in text or video format, significantly improving the user experience.

[0102] An "interface" is a component of the system that provides an input means for the user to input genres, characters, and keywords.

[0103] "JSON" stands for JavaScript Object Notation, a lightweight data description format that is widely used as a data exchange format.

[0104] "XML" is an abbreviation for Extensible Markup Language, a markup language for defining the structure of documents and data.

[0105] A "server" is a device or system that acts as a central processing unit to process requests from clients, analyze data, and issue instructions to the generative AI.

[0106] A "generative AI model" is an artificial intelligence model used to generate stories and characters based on user input, and is based on natural language processing techniques.

[0107] A "branch point" is a specific point during the story where the user can decide on a choice, and depending on that choice the story will unfold in a different direction.

[0108] "Choices" refer to multiple options that are presented to the user as the story progresses, and the story and the character's actions change depending on the user's input.

[0109] "Text format" refers to an output format that provides the generated story as text data.

[0110] "Video format" refers to an output format that provides the generated story as video data.

[0111] This invention is a system that generates customized stories based on user input. Specifically, it uses a terminal, a server, and a generative AI model to generate a story based on the genre, characters, and keywords entered by the user, and by providing branching points that the user can select as the story progresses, it is possible to customize the development of the story in real time.

[0112] Providing an interface

[0113] The terminal provides an interface for the user to input genres, characters, and keywords. This interface includes user interface elements such as text boxes and pull-down menus. For example, the user inputs the information as follows:

[0114] Genre: Fantasy adventure story

[0115] Character: Dragon, Swordsman

[0116] Keywords: magic

[0117] Receiving and analyzing information

[0118] The terminal formats the information entered by the user into JSON or XML format. The formatted data is sent to a server via the Internet. The server parses the received data and classifies it by genre, character, and keyword. This is done using specific parsing software or libraries (e.g., a JSON parsing library).

[0119] Generative AI for early story and character generation

[0120] Based on the analyzed data, the server instructs the generative AI model to generate a story and characters. This generative AI model uses an "open source natural language processing model." For example, using GPT-3, the following prompt sentence is input to the generative AI model.

[0121] Create a fantasy adventure story where a swordsman faces off against a dragon.

[0122] A generative AI model generates a story and characters based on these instructions.

[0123] User selection at branch points

[0124] As the story progresses, the server presents the user with choices at certain branching points. For example, the following choices are displayed:

[0125] Which path should the swordsman take to defeat the dragon?

[0126] 1. Forest Path

[0127] 2. Waterway

[0128] 3. The Road of Fire

[0129] The user selects an option through the terminal and inputs the information into the terminal.

[0130] Choice-based story updates

[0131] The device sends the user's selection information to the server. The server analyzes it and instructs the generative AI model on how to develop a new story. For example, if the user selects "Forest Path," the following prompt sentence is input to the generative AI model:

[0132] If the user selects "Forest Path," add a scene in which the swordsman enters the forest and finds new allies.

[0133] The generative AI model updates the story and characters based on these instructions.

[0134] Final narrative output

[0135] When the story reaches its final stage, the server sends the entire data to the generative AI model to generate the final version of the story. This story is output in text or video format and sent to the device, where the user can watch or read it. For example, in text format, it is output in the following format:

[0136] The swordsman chose the forest path and found a new companion in the deep forest, the wizard. The two began preparing to join forces and face the dragon.

[0137] The above is a specific embodiment for carrying out the invention. This system allows users to enjoy their own customized entertainment content in real time.

[0138] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0139] Step 1:

[0140] The user inputs genre, characters, and keywords through the terminal interface. For example, the user inputs "fantasy adventure story," "dragon," "swordsman," and "magic" into the text boxes. The input here is done manually by the user, and the terminal receives the input.

[0141] Input: User inputs genre, character, and keyword text

[0142] Output: Temporarily save the entered information

[0143] Specific behavior:

[0144] The user enters the information into the text box and clicks the "Send" button. The device receives this information and temporarily stores it internally.

[0145] Step 2:

[0146] The device formats the input information into JSON or XML format, and the formatted data is sent to a server via the Internet.

[0147] Input: Genre, character, and keywords received from the user

[0148] Output: Formatted data in JSON or XML format

[0149] Specific behavior:

[0150] A script running on the device converts user input into JSON format, which is then sent to the server using an HTTP request.

[0151] Step 3:

[0152] The server receives and analyzes the data sent from the device, and based on the analysis results, categorizes the data by genre, character, and keyword.

[0153] Input: JSON or XML format data received from the device

[0154] Output: The analyzed dataset

[0155] Specific behavior:

[0156] A program running on the server parses the JSON or XML and extracts each element, which is then stored in an internal data store.

[0157] Step 4:

[0158] The server then uses the analyzed data to instruct a generative AI model to generate the initial story and characters, using natural language processing technology.

[0159] Input: Parsed dataset

[0160] Output: Initial story and characters generated by the generative AI model

[0161] Specific behavior:

[0162] The server sends a prompt to the generative AI model (e.g., GPT-3) saying, "Generate a fantasy adventure story in which a swordsman faces off against a dragon." The generated story and characters are sent back to the server.

[0163] Step 5:

[0164] The server sends the generated initial story and characters to the terminal, and the user can check the generated results through the terminal.

[0165] Input: Output data of the generative AI model

[0166] Output: Story and characters sent to device

[0167] Specific behavior:

[0168] The data generated on the server is sent back to the device via an HTTP response, and the device updates its UI to display this data.

[0169] Step 6:

[0170] The user chooses one of the options presented at the branching points of the story, such as "Which path should the swordsman take to defeat the dragon: the forest path, the water path, or the fire path?"

[0171] Input: User selects a choice

[0172] Output: Data of selected options

[0173] Specific behavior:

[0174] When the user clicks on a choice, the selection data is collected by a terminal script and saved for further processing.

[0175] Step 7:

[0176] The device formats the information selected by the user into JSON or XML format and sends it to the server.

[0177] Input: The option selected by the user

[0178] Output: Selection information formatted in JSON or XML

[0179] Specific behavior:

[0180] A script running on the device converts the selection information into JSON format and sends it to the server via an HTTP request.

[0181] Step 8:

[0182] The server receives the user's selection information, analyzes it, and instructs the generative AI model on how to develop a new story. For example, if the user selects "Forest Path," the server might instruct the model to add a scene in which the swordsman enters the forest and finds new allies.

[0183] Input: Selection information received from the terminal

[0184] Output: Updated story and characters

[0185] Specific behavior:

[0186] A program on the server analyzes the selection information, generates new prompts, and sends them to the generative AI model, which returns an updated story and characters, which are then sent back to the server.

[0187] Step 9:

[0188] The server sends the updated story and characters to the terminal for display to the user.

[0189] Input: Updated data returned from the generative AI model

[0190] Output: Updated story and characters sent to device

[0191] Specific behavior:

[0192] The data generated on the server is sent to the device via an HTTP response, which the device uses to update the UI and display the new story development.

[0193] Step 10:

[0194] When the final stage of the story is reached, the server sends the entire data to the generative AI model, instructing it to generate the final story, which is output in text or video format and sent to the device.

[0195] Input: Entire dataset

[0196] Output: Final story (text or video format)

[0197] Specific behavior:

[0198] A program on the server collects the entire dataset and sends it to the generative AI model, asking it to "generate the final story." The final story is then sent to the device, where the user can read or listen to it.

[0199] (Application example 1)

[0200] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0201] Modern entertainment demands customization based on user preferences. However, the stories and video content typically provided are static, limiting the ways in which users can interact with the content. Furthermore, entertainment experiences using smart display devices lack immersion and customization because they lack advanced interactive features that allow users to control the progression of the story with voice commands. To address these challenges, a system is needed that can dynamically generate a story based on user input and provide an interactive experience.

[0202] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0203] In this invention, the server includes means for providing an interface for users to input genres, characters, and keywords, means for receiving and analyzing the input information, a generation AI means for generating an initial story and characters based on the analyzed data, means for playing the generated story by voice, means for receiving and analyzing user voice commands, and means for displaying the story on a smart display device as it is updated, thereby enabling users to experience a story that changes dynamically based on their preferences and selections, providing an interactive and customized entertainment experience.

[0204] "Genre" refers to themes or categories of entertainment content or stories.

[0205] "Character" refers to a person, animal, or fictional being that appears in a story or content.

[0206] "Keywords" refer to important words or phrases that users enter when generating a story.

[0207] "Interface" refers to the means or methods by which a user interacts with a system.

[0208] "Server means" refers to a server device that analyzes information received from users and provides data to the generation AI.

[0209] "Generative AI means" refers to artificial intelligence means that generate stories and characters based on analyzed data.

[0210] "Story progression" refers to the process by which the story unfolds and progresses based on the user's choices.

[0211] A "branching point" refers to a point in the story where the direction of the story changes depending on the choice the user makes.

[0212] "Choices" refers to the multiple options that users can choose from at branching points in the story.

[0213] "Voice command" refers to the method by which a user gives instructions to a system through voice.

[0214] "Smart display device" refers to a sophisticated display device for displaying visual information.

[0215] "Audio playback means" refers to a means for allowing the generated story to be played to the user using speech synthesis technology.

[0216] A "dynamic narrative" is a story whose content changes in real time based on user choices and input.

[0217] "Interactive" refers to a form in which the user interacts with the system and the system responds accordingly.

[0218] "Entertainment experience" refers to the entertainment and storytelling experiences that users can enjoy through the system.

[0219] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following describes an embodiment of the present invention.

[0220] First, the user inputs genre, characters, and keywords using the smart display device. The interface of the smart display device is equipped with a voice input function, allowing information to be input using voice commands. For example, the user can input keywords such as "fantasy adventure story," "dragon," "swordsman," and "magic" by voice.

[0221] The input information is received as data by the smart display device and sent to the server, which analyzes the information and generates the initial story and characters using generative AI means.

[0222] The generated story is played aloud using speech synthesis technology. This uses speech synthesis software such as the Google Text-to-Speech API. As the story progresses, the user is presented with options by voice at branching points. For example, the user may be presented with options such as, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire."

[0223] The user makes a choice by voice command. For example, they can say, "Choose the forest path." This voice command is sent to the server by the smart display device. The server analyzes the user's choice and issues new story instructions to the generation AI means. The generation AI means updates the story and characters.

[0224] This process is repeated until the user is satisfied with the story. The final story is played aloud and displayed on the smart display device, providing the user with an interactive and customized entertainment experience.

[0225] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the AI ​​generator will generate a story about "a swordsman's adventure against a dragon." If the user selects "Forest Path" at a branching point in the story, an additional development will occur in which "the swordsman enters the forest and finds new companions."

[0226] An example prompt would be "Fantasy adventure story, dragons, swordsmen, magic, which path will you choose: forest path, water path, fire path."

[0227] The system allows users to experience a story that changes dynamically based on their choices, providing an interactive and customized entertainment experience.

[0228] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0229] Step 1:

[0230] The user inputs genre, characters, and keywords by voice through the smart display device. When the user inputs voice commands such as "fantasy adventure story," "dragon," "swordsman," and "magic," the information is received by the device. The device converts the voice data into text data using voice recognition software (e.g., Google Speech-to-Text API). The input data is formatted into an object and sent to the server.

[0231] input:

[0232] Voice commands (e.g. "Fantasy adventure story," "Dragon," "Swordsman," "Magic")

[0233] output:

[0234] Formatted text data (e.g., { "genre": "Fantasy adventure story", "character": "Swordsman", "keywords": ["Dragon", "Magic"]})

[0235] Step 2:

[0236] The server receives the input data, parses it into JSON format, and analyzes it. The analyzed data is then divided into categories such as genre, character, and keyword, and converted into a dataset that provides instructions to the generative AI model. This process involves preprocessing the data as needed.

[0237] input:

[0238] JSON format of user-entered data (e.g., { "genre": "Fantasy adventure story", "character": "Swordsman", "keywords": ["Dragon", "Magic"]})

[0239] output:

[0240] A dataset to instruct the generative AI (e.g., { "genre": "Fantasy", "character": "Warrior", "keywords": ["Dragon", "Magic"]})

[0241] Step 3:

[0242] A generative AI model generates an initial story and characters based on the dataset. This generated content is sent back to the server as data in JSON format. A generative AI model (e.g., GPT-3) is used to generate a story based on user input.

[0243] input:

[0244] Dataset (e.g., { "genre": "Fantasy", "character": "Warrior", "keywords": ["Dragon", "Magic"]})

[0245] output:

[0246] Initial story and character data (e.g., { "story": "A warrior sets off on a quest to defeat a dragon...", "characters": ["Warrior", "Dragon"]})

[0247] Step 4:

[0248] The server converts the generated story data into audio data using speech synthesis software (e.g., Google Text-to-Speech API), which is then sent to the device and played back by the smart display device.

[0249] input:

[0250] Initial story and character data (e.g., { "story": "A warrior sets off on a quest to defeat a dragon...", "characters": ["Warrior", "Dragon"]})

[0251] output:

[0252] Audio data (e.g., audio files or streams)

[0253] Step 5:

[0254] As the story progresses, the server presents the user with branching choices. The choices are played back to the device as audio and are also displayed. For example, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire."

[0255] input:

[0256] Current story progress (e.g., { "current_story": "A warrior sets off on a quest to defeat a dragon...", "options": ["Forest Path", "Water Path", "Fire Path"]})

[0257] output:

[0258] Audio and display data (e.g., audio files or streams, display formats)

[0259] Step 6:

[0260] The user selects an option using a voice command, for example, "Choose the forest path." This voice command is recognized by the device and sent to the server as text data.

[0261] input:

[0262] User's voice command (e.g., "Choose the forest path")

[0263] output:

[0264] Formatted text data (e.g., { "choice": "Forest path"})

[0265] Step 7:

[0266] The server analyzes the user's selections and instructs the generative AI model to develop a new story, which in turn generates updated story data and sends it back to the server.

[0267] input:

[0268] Formatted user choice data (e.g., { "choice": "Forest path"})

[0269] output:

[0270] Updated story and character data (e.g., { "story": "The warrior enters the forest and finds a new ally...", "characters": ["Warrior", "Magic User"]})

[0271] Step 8:

[0272] The server then converts the updated story into audio data using speech synthesis software and sends it to the device, where the user's smart display device plays the updated story aloud and displays it on the screen.

[0273] input:

[0274] Updated story and character data (e.g., { "story": "The warrior enters the forest and finds a new ally...", "characters": ["Warrior", "Magic User"]})

[0275] output:

[0276] Audio and display data (e.g., audio files or streams, display formats)

[0277] Through these steps, users can enjoy an interactive and customized entertainment experience.

[0278] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0279] This invention combines an emotion engine with a system in which users input genres, characters, and keywords, and a generative AI generates and updates stories based on them, ultimately providing customized entertainment content. Specific embodiments based on the program of this system are described below.

[0280] Providing an interface

[0281] Users input genre, characters, and keywords through the device interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface is designed to be user-friendly, including text boxes, selection options, and image upload.

[0282] Receiving and analyzing information

[0283] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into a dataset to provide instructions to the generation AI.

[0284] Generative AI for early story and character generation

[0285] Based on the analyzed data, the server instructs the AI ​​to generate a story and characters. The AI ​​receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing off against a dragon may be generated. The generated story and characters are then sent to the device via the server.

[0286] Emotion recognition by emotion engine

[0287] While the user is watching the story, the emotion engine recognizes the user's emotional state by analyzing their facial expressions, tone of voice, and biometric signals. This data is sent by the device to a server, which then passes this information to the generation AI to influence the progression of the story.

[0288] User selection at branch points

[0289] As the story progresses, the user is presented with choices at certain branching points. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed. The user selects and inputs the desired option via the terminal.

[0290] Choice-based story updates

[0291] The user's choices are sent from the device to a server, which analyzes them and instructs the generation AI on how to develop a new story. The generation AI then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," a new plot development will be added in which the swordsman enters the forest and finds new allies. The emotion engine also collects the user's emotional data and adjusts the tone and tension of the story based on that data.

[0292] Ongoing Customization

[0293] As the story progresses, users can further customize it by entering additional keywords, images, etc. The device sends this new information to the server, which then incorporates it into the generating AI. The emotion engine also adjusts the story's progression based on the emotional data collected. For example, if the system determines that the user is tense, it can make the story a little more calming.

[0294] Final narrative output

[0295] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format. The generation AI then generates an entertainment piece based on this data and returns the data to the server. The server then sends the generated story to the device, allowing the user to watch or read it.

[0296] Specific examples

[0297] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story generated will be "An adventure in which a swordsman faces a dragon." As the story progresses, the options "Forest Path," "Water Path," and "Fire Path" are presented. If the user chooses "Forest Path," an additional plot development will be added in which the swordsman enters the forest and finds a new wizard companion. The emotion engine recognizes the user's emotions, and if it determines that the user is excited, for example, it can adjust the story's progression to a more tense tone. Ultimately, the user can enjoy their own special entertainment.

[0298] In this way, the generative AI generates and updates stories and characters based on user input and emotional data, providing users with a customized entertainment experience.

[0299] The processing flow will be explained below.

[0300] Step 1:

[0301] The user inputs genre, characters, and keywords through the terminal interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[0302] Step 2:

[0303] The terminal converts the information entered by the user into a data format such as JSON and sends it to the server.

[0304] Step 3:

[0305] The server parses the JSON data received from the device and divides it into categories such as genre, character, and keyword.

[0306] Step 4:

[0307] The server then issues instructions to the AI ​​generator based on the analyzed data, which is configured to generate the initial story and characters.

[0308] Step 5:

[0309] The generation AI receives instructions from the server and generates the initial story and characters. For example, it might generate a story such as "The adventure of a swordsman facing off against a dragon." The generated data is then returned to the server.

[0310] Step 6:

[0311] The server receives the initial story and character data returned by the generation AI and sends it to the device.

[0312] Step 7:

[0313] The device displays the received initial story and characters to the user.

[0314] Step 8:

[0315] As users continue to watch the story, the emotion engine analyzes their facial expressions, tone of voice, and biometric signals to recognize their emotional state.

[0316] Step 9:

[0317] The emotion engine stores the recognized emotion data on the device and transmits the data to the server as needed.

[0318] Step 10:

[0319] As the story progresses, when a certain branching point appears, the device will present the user with a choice, such as "Which path should the swordsman take to defeat the dragon: the path of the forest, the path of water, or the path of fire?"

[0320] Step 11:

[0321] The user selects the desired option from the options presented and inputs the selection into the terminal.

[0322] Step 12:

[0323] The device sends the user's selection to the server, where the selection data is again formatted in JSON or similar format.

[0324] Step 13:

[0325] The server receives and analyzes the user's selection data, then issues new instructions to the AI ​​generator, which is configured to update the story and characters based on the new choices.

[0326] Step 14:

[0327] The generation AI receives new instructions from the server and updates the story and characters based on the user's choices. For example, if the user chooses the "Forest Path," a new plot will be added in which the swordsman enters the forest and meets new allies. At the same time, the emotion engine adjusts the story and character expressions based on the emotional data collected.

[0328] Step 15:

[0329] The server receives the updated data returned from the generation AI and sends it to the terminal.

[0330] Step 16:

[0331] The device displays the updated story and characters to the user, and this process is repeated to progress the story.

[0332] Step 17:

[0333] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format.

[0334] Step 18:

[0335] The generation AI generates the final story in the specified format and returns the data to the server.

[0336] Step 19:

[0337] The server transmits the completed story data to the terminal.

[0338] Step 20:

[0339] The device allows users to watch or read the ultimate entertainment.

[0340] Specific examples

[0341] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story generated will be "An adventure in which a swordsman faces a dragon." As the story progresses, the user is presented with three options: "Forest Path," "Water Path," and "Fire Path." If the user chooses "Forest Path," the swordsman will enter the forest and find new companions. The emotion engine recognizes the user's emotions, and if it determines that the user is excited, for example, it will adjust the story's progression to a more tense tone. Ultimately, the user can enjoy their own special entertainment.

[0342] Example 2

[0343] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0344] Modern entertainment content needs to be able to accommodate diverse user preferences and emotional states, but existing systems lack the ability to reflect user emotions in real time. Furthermore, it is difficult to effectively utilize the user's emotional state and additional information when presenting choices to the user and branching the story.

[0345] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0346] In this invention, the server includes a user interface means for a user to input genres, characters, and keywords, a server means for receiving and analyzing the input information, a generative model means for generating an initial story and characters based on the analyzed data, an emotion analysis means for recognizing the user's emotions as the story progresses, a means for adjusting the tone and tension of the story based on the results of the emotion analysis, a means for presenting choices to the user at branching points as the story progresses, a generative model means for updating the story and characters based on the user's choices, and a means for generating a final story in text or video format and providing it to the user. This allows the generative model to generate and update the story and characters based on the user's input information and emotion data, thereby providing the user with a customized entertainment experience.

[0347] "User Interface" means the means by which a user inputs genres, characters, and keywords into the system, including text boxes, selection options, and image upload functionality.

[0348] The "server" is a means for analyzing information received from users and issuing instructions to the generative model, and has the functionality to parse and analyze data.

[0349] A "generative model" is a model for generating initial stories and characters based on analyzed data, and has the function of returning the generated stories and characters to the server.

[0350] "Emotion analysis" is a method of recognizing a user's emotional state by analyzing their facial expressions, tone of voice, and biometric signals, thereby enabling the user's emotions to be grasped in real time.

[0351] "Presenting options at branching points" is a method of presenting options to the user at specific branching points as the story progresses, allowing the user to direct the development of the story.

[0352] "Story updates" are a way for the generative model to update the story and characters based on user choices, and have the ability to add new developments.

[0353] "Final story generation in text or video format" refers to the format in which the generative model generates the final story and provides it to users, ultimately providing entertainment content.

[0354] This invention combines sentiment analysis with a system in which users input genre, characters, and keywords, and a generative model generates and updates a story based on that, ultimately delivering customized entertainment content.

[0355] Providing an interface

[0356] Users input genre, characters, and keywords through the device's user interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface is designed to be user-friendly, including text boxes, selection options, and image upload.

[0357] Receiving and analyzing information

[0358] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into datasets to provide instructions to the generative model.

[0359] Generative Modeling for Early Story and Character Generation

[0360] Based on the analyzed data, the server instructs a generative model (e.g., GPT-3 or GPT-4) to generate a story and characters. The generative model receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing a dragon is generated, and the generated story and characters are sent to the device via the server.

[0361] Emotion recognition through emotion analysis

[0362] While the user is watching the story, the device uses sensors such as a camera and microphone to analyze the user's facial expressions and tone of voice in real time. Emotion analysis uses this data to recognize the user's emotional state. This data is sent by the device to a server, which then passes this information to a generative model to influence the progression of the story.

[0363] User selection at branch points

[0364] As the story progresses, the user is presented with choices at certain branching points. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed, and the user selects the desired option and inputs it through the terminal. Once the option is entered, the information is sent to the server.

[0365] Choice-based story updates

[0366] The server analyzes the user's choices and passes the results to the generative model, which then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," the generative model adds a plot in which the swordsman enters the forest and finds new allies. The new story is then sent to the device via the server.

[0367] Ongoing Customization

[0368] As the story progresses, users can input additional keywords, images, and more to further customize the story. The device sends this new information to the server, which then incorporates it into the generative model. Sentiment analysis can also collect user emotional data and adjust the story's view and tension based on that data.

[0369] Final narrative output

[0370] When the story reaches its final stage, the server sends the entire data to the generative model, which instructs it to generate the final story in text or video format. The generative model then generates the entertainment piece and returns the data to the server, which then sends the generated story to the device for the user to watch or read.

[0371] Specific examples

[0372] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the generative model will generate an initial story called "An adventure in which a swordsman faces a dragon." As the story progresses, the model will present the options of "Forest Path," "Water Path," and "Fire Path" at certain branching points. If the user selects "Forest Path," the generative model will generate a new episode in which the swordsman finds a wizard in the forest. During this process, emotion analysis will analyze the user's facial expressions, and if the user is excited, the tone of the story will be adjusted to make it more tense.

[0373] Example prompts to input to the generative AI model

[0374] "To write a fantasy adventure story, generate a story in which the protagonist is a swordsman, the enemy is a dragon, and magic is used."

[0375] "The protagonist chooses the forest path. Come up with a new storyline based on this choice."

[0376] "Your audience is excited, so adjust the tone of your story to create suspense."

[0377] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0378] Step 1:

[0379] The user enters information through the interface.

[0380] Specifically, users use text boxes, options, and image upload functions on the device's user interface to enter information such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[0381] Input: Genre, Character, Keywords

[0382] Output: Formatted data (e.g. JSON format)

[0383] Step 2:

[0384] The device formats the information and sends it to the server.

[0385] The terminal formats the data entered by the user into JSON format and sends it to the server using the HTTP protocol, where it is used in subsequent parsing steps.

[0386] Input: Raw data entered by the user

[0387] Output: Pretty-printed JSON data

[0388] Step 3:

[0389] The server analyzes the received data.

[0390] The server parses the received data from JSON format and separates it by genre, character, and keyword, creating a dataset to feed to the generative model.

[0391] Input: JSON format data

[0392] Output: Analyzed genre, character, and keyword data

[0393] Step 4:

[0394] The server instructs the generative model to generate the initial story and characters.

[0395] The server generates prompts based on the parsed data and sends them to a generative model (e.g., GPT-3 or GPT-4), which then generates a story and characters and returns the results to the server.

[0396] Input: Prompt (e.g. "Generate an adventure in which a swordsman faces a dragon")

[0397] Output: Early story and characters

[0398] Step 5:

[0399] The server sends the generated story and characters to the device.

[0400] The generated story and characters are sent from the server to the device using the HTTP protocol, and the user can view the results on the interface.

[0401] Input: Story and characters returned by the generative model

[0402] Output: Story and character data

[0403] Step 6:

[0404] While the user watches the story, the device performs sentiment analysis.

[0405] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time, and sends the results as emotional data to a server using emotion analysis libraries and APIs.

[0406] Input: User's facial expression and voice data

[0407] Output: Emotion data

[0408] Step 7:

[0409] The server passes the emotion data to the generative model and reflects it in the story.

[0410] The server receives the emotional data and uses it to instruct the generative model to change the tone or tension of the story, for example, if the user is excited.

[0411] Input: Emotion data

[0412] Output: Adjusted narrative data

[0413] Step 8:

[0414] Present the user with choices at branching points in the story.

[0415] As the story progresses, the device presents the user with options such as "Forest Path," "Water Path," and "Fire Path." The user selects the option they want, and the device sends the result to the server.

[0416] Input: User's choice

[0417] Output: Branching data based on the selection

[0418] Step 9:

[0419] The server analyzes the user's choices and instructs the generative model on how to develop a new story.

[0420] The server analyzes the user's selection and sends a new prompt to the generative model. For example, if the user selects "Forest Path," it instructs the model to generate a new forest scene.

[0421] Input: User selected data

[0422] Output: New story development

[0423] Step 10:

[0424] The terminal receives and displays the new storyline.

[0425] The device receives new story data from the server and displays it on the user interface, allowing the user to view and read the updated story.

[0426] Input: New storyline

[0427] Output: The displayed story

[0428] (Application example 2)

[0429] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0430] Conventional interactive story generation systems can generate stories based on genres, characters, and keywords input by the user, but they cannot dynamically change the story to take into account the user's emotional state. This makes it difficult to provide an entertainment experience that matches the user's emotional state. In particular, systems that work with VR environments and head-mounted displays require real-time story updates based on the user's emotional state.

[0431] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0432] In this invention, the server includes means for providing an interface for the user to input genres, characters, and keywords, server means for receiving and analyzing the input information, generation AI means for generating an initial story and characters based on the analyzed data, means for presenting choices to the user at branching points as the story progresses, generation AI means for updating the story and characters based on the user's choices, emotion analysis means for analyzing the user's emotional state via a head-mounted display, generation AI means for dynamically changing the story and characters according to the emotional state, and means for providing the generated story to the user in text or video format, thereby enabling the story to progress and be updated in real time according to the user's emotional state.

[0433] A "genre" is a category that indicates the classification or type of entertainment content.

[0434] "Character" refers to a person, creature, or fictional being that appears in a story.

[0435] "Keywords" are words or phrases that are important in creating or updating a story.

[0436] An "interface" is something that provides a means for a user to input information into a system.

[0437] "Server means" refers to a server computer that has the function of receiving and analyzing information input by a user.

[0438] "Generative AI methods" refer to artificial intelligence technologies that generate stories and characters based on information entered by users.

[0439] A "branching point" is an important point in the story where the user decides which options to take.

[0440] "Choices" are multiple options presented to the user that affect the progression of the story.

[0441] "Emotion analysis means" refers to techniques or methods for analyzing a user's emotional state.

[0442] "Emotional state" refers to data that indicates a user's current emotional state or mood.

[0443] "Text format" refers to a format expressed as text or character data.

[0444] A "video format" is a format in which video or moving image data is expressed.

[0445] A specific embodiment for implementing this invention will be described. In this system, users input genres, characters, and keywords, and a generative AI generates and updates a story based on the input, ultimately providing customized entertainment content. Furthermore, the system has the ability to analyze the user's emotional state via a head-mounted display and dynamically change the story in real time.

[0446] First, the user inputs genre, characters, and keywords through the interface. For example, the interface is provided in the form of a text box or a selection box. When the user inputs information such as "fantasy adventure story," "swordsman," "dragon, magic," etc., the input information is sent to the server.

[0447] The server receives and analyzes the input information. This analysis uses data formats such as JSON and XML. The analyzed data is categorized by genre, character, and keyword, and converted into a dataset to be passed to the generation AI.

[0448] Next, the AI ​​generates an initial story and characters based on the analyzed data. For example, it might generate an adventure story about a swordsman facing off against a dragon. The generated story and characters are then sent to the user's device via a server.

[0449] Meanwhile, while the user is watching the story in the VR environment, the head-mounted display analyzes the user's emotional state, including facial expression analysis, voice tone analysis, and biometric signal analysis. The analyzed emotional data is sent to the server and passed to the generation AI.

[0450] As the story progresses, the user is presented with choices at certain branching points. For example, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire." The user selects their desired option through the interface of the head-mounted display.

[0451] Based on the user's choices and emotional data, the AI ​​will update the story and characters. For example, if the user chooses the "Forest Path" and is recognized as excited, the story will develop with more tension. The generated story is then provided to the user via the server.

[0452] Specific examples

[0453] If the user inputs "fantasy adventure story," "swordsman," "dragon, magic," the generator AI will start the story like this:

[0454] Example prompt sentence:

[0455] Genre: Fantasy

[0456] Character: Swordsman

[0457] Keywords: Dragon, Magic

[0458] Let's start the story.

[0459] As the story progresses, when the scene "The swordsmen proceed to the forest path" is reached, if the user selects "The Forest Path" and is determined to be excited, the generation AI will update the story as follows:

[0460] Example prompt sentence:

[0461] Current Story: "The Swordsmen Take the Forest Path"

[0462] User's emotional state: Excitement

[0463] Generate the following development that matches this sentiment.

[0464] In this way, generative AI can generate and update stories based on user input and sentiment analysis data, providing users with a customized entertainment experience.

[0465] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0466] Step 1:

[0467] The server provides an interface for users to input genres, characters, and keywords. The input interface is configured in a text box format or a selection format, and users can input their favorite genres, characters, and keywords in the fields. The input data is sent to the server by the terminal.

[0468] Step 2:

[0469] The server receives the data sent by the user and analyzes it. This analysis uses formats such as JSON and XML to classify the data by genre, character, and keyword. The analysis results are converted into a dataset to be passed to the generation AI.

[0470] Step 3:

[0471] The generation AI generates an initial story and characters based on the dataset sent from the server. The generated story is output in text format and sent to the user's device via the server. For example, if a user inputs "fantasy adventure story," "swordsman," "dragon, magic," the initial story generated will be "an adventure story in which a swordsman faces off against a dragon."

[0472] Step 4:

[0473] The user puts on a head-mounted display and begins to watch the generated story. The head-mounted display has the ability to analyze the user's facial expressions, tone of voice, and biometric signals, thereby detecting the user's emotional state in real time.

[0474] Step 5:

[0475] The head-mounted display senses the user's emotional state and sends that emotional data to a server via the device. For example, it analyzes whether the user is excited or sad, and passes the emotional results to the server as data.

[0476] Step 6:

[0477] The server issues instructions to the AI ​​generator based on the received emotional data, adjusting the tone and progression of the story. For example, if the server determines that the user is excited, the AI ​​generator will receive instructions to make the next story development more thrilling. Based on this emotional data, the AI ​​generator will predict the new story development and output it as text.

[0478] Step 7:

[0479] As the story progresses, the server presents the user with choices at certain branching points, such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire." The user selects their choice through the interface of the head-mounted display.

[0480] Step 8:

[0481] The device receives the user's selection and sends it to the server. The server analyzes this selection data and instructs the generation AI on the next development of the story. For example, if the user selects "Forest Path," the generation AI will create a new development of the story based on that selection.

[0482] Step 9:

[0483] The server sends the updated story to the user's device, and the user watches the new story through the head-mounted display. Steps 4 to 8 are repeated, and the story is dynamically generated and updated.

[0484] This provides a customized entertainment experience that is tailored to the user's emotional state and choices.

[0485] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0486] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0487] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0488] [Second embodiment]

[0489] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0490] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0491] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0492] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0493] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0494] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0495] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0496] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0497] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0498] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0499] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0500] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0501] This invention is a system in which a user inputs genres, characters, and keywords, and a generation AI generates individual entertainment content based on that information. Specific embodiments based on the program of this system are described below.

[0502] Providing an interface

[0503] The user inputs genre, characters, and keywords through the device interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface includes text boxes, selection options, and image upload options.

[0504] Receiving and analyzing information

[0505] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into a dataset to provide instructions to the generation AI.

[0506] Generative AI for early story and character generation

[0507] Based on the analyzed data, the server instructs the AI ​​to generate a story and characters. The AI ​​receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing off against a dragon may be generated. The generated story and characters are then sent to the device via the server.

[0508] User selection at branch points

[0509] As the story progresses, the user is presented with choices at certain branching points. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed. The user selects and inputs the desired option via the terminal.

[0510] Choice-based story updates

[0511] The user's choices are sent from the device to the server, which analyzes them and instructs the AI ​​to develop a new story. The AI ​​then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," a scene will be added in which the swordsman enters the forest and finds new allies.

[0512] Ongoing Customization

[0513] As the story progresses, users can further customize the story by entering additional keywords, images, etc. The device sends this new information to the server, which then incorporates it into the generating AI.

[0514] Final narrative output

[0515] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format. The generation AI then generates an entertainment piece based on this data and returns the data to the server. The server then sends the generated story to the device, allowing the user to watch or read it.

[0516] Specific examples

[0517] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story "An adventure in which a swordsman faces a dragon" will be generated. As the story progresses, the options "Forest Path," "Water Path," and "Fire Path" will be presented. If the user chooses "Forest Path," an additional plot will be added in which the swordsman enters the forest and finds a new wizard companion. Ultimately, the user can enjoy their own special entertainment.

[0518] In this way, the generative AI generates and updates stories and characters based on user input, providing users with a customized entertainment experience.

[0519] The processing flow will be explained below.

[0520] Step 1:

[0521] The user inputs genre, characters, and keywords through the terminal interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[0522] Step 2:

[0523] The terminal receives the information entered by the user and formats it into a data format such as JSON, and then sends this formatted data to the server.

[0524] Step 3:

[0525] The server parses the JSON data received from the device and divides it into categories such as genre, character, and keyword.

[0526] Step 4:

[0527] The server then issues instructions to the AI ​​based on the analyzed data, specifically instructing it to generate an initial story and characters based on the genre and characters entered by the user.

[0528] Step 5:

[0529] The AI ​​receives instructions from the server and generates the initial story and characters. For example, it might generate a story about an adventure in which a swordsman faces off against a dragon. The generated data is then returned to the server.

[0530] Step 6:

[0531] The server receives the initial story and character data returned by the generation AI and sends it to the device.

[0532] Step 7:

[0533] The terminal displays the received initial story and characters to the user.

[0534] Step 8:

[0535] As the story progresses, when a certain branching point appears, the device will present the user with a choice of options, such as "Which path should the swordsman take to defeat the dragon: the path of the forest, the path of water, or the path of fire?"

[0536] Step 9:

[0537] The user selects the desired option from the options presented and inputs the selection into the terminal.

[0538] Step 10:

[0539] The device sends the user's selection to the server, where the selection data is again formatted in JSON or similar format.

[0540] Step 11:

[0541] The server receives and analyzes the user's selection data, then issues new instructions to the generation AI, specifically instructing it to update the story and characters based on the new choices.

[0542] Step 12:

[0543] The AI ​​receives new instructions from the server and updates the story and characters based on the user's choices. For example, if the user chooses the "Forest Path," an episode will be added in which the swordsman enters the forest and meets new allies.

[0544] Step 13:

[0545] The server receives the updated data returned from the generation AI and sends it to the terminal.

[0546] Step 14:

[0547] The device displays the updated story and characters to the user, and this process is repeated to progress the story.

[0548] Step 15:

[0549] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format.

[0550] Step 16:

[0551] The generation AI generates the final story in the specified format and returns the data to the server.

[0552] Step 17:

[0553] The server transmits the completed story data to the terminal.

[0554] Step 18:

[0555] The terminal allows the user to watch or read the ultimate entertainment.

[0556] Example 1

[0557] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0558] Conventional entertainment content generation systems have had difficulty generating individually customized stories based on user input. They also lacked the ability to provide real-time options at branching points in the story and update the story based on those choices. Furthermore, the final output format of the generated content was limited, making it difficult to improve the user experience.

[0559] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0560] In this invention, the server includes means for formatting input information into JSON or XML format and sending it to the server, means for analyzing the received data, classifying it by genre, character, and keyword, and issuing instructions to the generation AI, and means for generating an initial story and characters using a generation AI model (e.g., a generation AI model based on a natural language processing model). This enables the generation and updating of a customized story in real time based on the information input by the user, and the final story can be provided in text or video format, significantly improving the user experience.

[0561] An "interface" is a component of the system that provides an input means for the user to input genres, characters, and keywords.

[0562] "JSON" stands for JavaScript Object Notation, a lightweight data description format that is widely used as a data exchange format.

[0563] "XML" is an abbreviation for Extensible Markup Language, a markup language for defining the structure of documents and data.

[0564] A "server" is a device or system that acts as a central processing unit to process requests from clients, analyze data, and issue instructions to the generative AI.

[0565] A "generative AI model" is an artificial intelligence model used to generate stories and characters based on user input, and is based on natural language processing techniques.

[0566] A "branch point" is a specific point during the story where the user can decide on a choice, and depending on that choice the story will unfold in a different direction.

[0567] "Choices" refer to multiple options that are presented to the user as the story progresses, and the story and the character's actions change depending on the user's input.

[0568] "Text format" refers to an output format that provides the generated story as text data.

[0569] "Video format" refers to an output format that provides the generated story as video data.

[0570] This invention is a system that generates customized stories based on user input. Specifically, it uses a terminal, a server, and a generative AI model to generate a story based on the genre, characters, and keywords entered by the user, and by providing branching points that the user can select as the story progresses, it is possible to customize the development of the story in real time.

[0571] Providing an interface

[0572] The terminal provides an interface for the user to input genres, characters, and keywords. This interface includes user interface elements such as text boxes and pull-down menus. For example, the user inputs the information as follows:

[0573] Genre: Fantasy adventure story

[0574] Character: Dragon, Swordsman

[0575] Keywords: magic

[0576] Receiving and analyzing information

[0577] The terminal formats the information entered by the user into JSON or XML format. The formatted data is sent to a server via the Internet. The server parses the received data and classifies it by genre, character, and keyword. This is done using specific parsing software or libraries (e.g., a JSON parsing library).

[0578] Generative AI for early story and character generation

[0579] Based on the analyzed data, the server instructs the generative AI model to generate a story and characters. This generative AI model uses an "open source natural language processing model." For example, using GPT-3, the following prompt sentence is input to the generative AI model.

[0580] Create a fantasy adventure story where a swordsman faces off against a dragon.

[0581] A generative AI model generates a story and characters based on these instructions.

[0582] User selection at branch points

[0583] As the story progresses, the server presents the user with choices at certain branching points. For example, the following choices are displayed:

[0584] Which path should the swordsman take to defeat the dragon?

[0585] 1. Forest Path

[0586] 2. Waterway

[0587] 3. The Road of Fire

[0588] The user selects an option through the terminal and inputs the information into the terminal.

[0589] Choice-based story updates

[0590] The device sends the user's selection information to the server. The server analyzes it and instructs the generative AI model on how to develop a new story. For example, if the user selects "Forest Path," the following prompt sentence is input to the generative AI model:

[0591] If the user selects "Forest Path," add a scene in which the swordsman enters the forest and finds new allies.

[0592] The generative AI model updates the story and characters based on these instructions.

[0593] Final narrative output

[0594] When the story reaches its final stage, the server sends the entire data to the generative AI model to generate the final version of the story. This story is output in text or video format and sent to the device, where the user can watch or read it. For example, in text format, it is output in the following format:

[0595] The swordsman chose the forest path and found a new companion in the deep forest, the wizard. The two began preparing to join forces and face the dragon.

[0596] The above is a specific embodiment for carrying out the invention. This system allows users to enjoy their own customized entertainment content in real time.

[0597] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0598] Step 1:

[0599] The user inputs genre, characters, and keywords through the terminal interface. For example, the user inputs "fantasy adventure story," "dragon," "swordsman," and "magic" into the text boxes. The input here is done manually by the user, and the terminal receives the input.

[0600] Input: User inputs genre, character, and keyword text

[0601] Output: Temporarily save the entered information

[0602] Specific behavior:

[0603] The user enters the information into the text box and clicks the "Send" button. The device receives this information and temporarily stores it internally.

[0604] Step 2:

[0605] The device formats the input information into JSON or XML format, and the formatted data is sent to a server via the Internet.

[0606] Input: Genre, character, and keywords received from the user

[0607] Output: Formatted data in JSON or XML format

[0608] Specific behavior:

[0609] A script running on the device converts user input into JSON format, which is then sent to the server using an HTTP request.

[0610] Step 3:

[0611] The server receives and analyzes the data sent from the device, and based on the analysis results, categorizes the data by genre, character, and keyword.

[0612] Input: JSON or XML format data received from the device

[0613] Output: The analyzed dataset

[0614] Specific behavior:

[0615] A program running on the server parses the JSON or XML and extracts each element, which is then stored in an internal data store.

[0616] Step 4:

[0617] The server then uses the analyzed data to instruct a generative AI model to generate the initial story and characters, using natural language processing technology.

[0618] Input: Parsed dataset

[0619] Output: Initial story and characters generated by the generative AI model

[0620] Specific behavior:

[0621] The server sends a prompt to the generative AI model (e.g., GPT-3) saying, "Generate a fantasy adventure story in which a swordsman faces off against a dragon." The generated story and characters are sent back to the server.

[0622] Step 5:

[0623] The server sends the generated initial story and characters to the terminal, and the user can check the generated results through the terminal.

[0624] Input: Output data of the generative AI model

[0625] Output: Story and characters sent to device

[0626] Specific behavior:

[0627] The data generated on the server is sent back to the device via an HTTP response, and the device updates its UI to display this data.

[0628] Step 6:

[0629] The user chooses one of the options presented at the branching points of the story, such as "Which path should the swordsman take to defeat the dragon: the forest path, the water path, or the fire path?"

[0630] Input: User selects a choice

[0631] Output: Data of selected options

[0632] Specific behavior:

[0633] When the user clicks on a choice, the selection data is collected by a terminal script and saved for further processing.

[0634] Step 7:

[0635] The device formats the information selected by the user into JSON or XML format and sends it to the server.

[0636] Input: The option selected by the user

[0637] Output: Selection information formatted in JSON or XML

[0638] Specific behavior:

[0639] A script running on the device converts the selection information into JSON format and sends it to the server via an HTTP request.

[0640] Step 8:

[0641] The server receives the user's selection information, analyzes it, and instructs the generative AI model on how to develop a new story. For example, if the user selects "Forest Path," the server might instruct the model to add a scene in which the swordsman enters the forest and finds new allies.

[0642] Input: Selection information received from the terminal

[0643] Output: Updated story and characters

[0644] Specific behavior:

[0645] A program on the server analyzes the selection information, generates new prompts, and sends them to the generative AI model, which returns an updated story and characters, which are then sent back to the server.

[0646] Step 9:

[0647] The server sends the updated story and characters to the terminal for display to the user.

[0648] Input: Updated data returned from the generative AI model

[0649] Output: Updated story and characters sent to device

[0650] Specific behavior:

[0651] The data generated on the server is sent to the device via an HTTP response, which the device uses to update the UI and display the new story development.

[0652] Step 10:

[0653] When the final stage of the story is reached, the server sends the entire data to the generative AI model, instructing it to generate the final story, which is output in text or video format and sent to the device.

[0654] Input: Entire dataset

[0655] Output: Final story (text or video format)

[0656] Specific behavior:

[0657] A program on the server collects the entire dataset and sends it to the generative AI model, asking it to "generate the final story." The final story is then sent to the device, where the user can read or listen to it.

[0658] (Application example 1)

[0659] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0660] Modern entertainment demands customization based on user preferences. However, the stories and video content typically provided are static, limiting the ways in which users can interact with the content. Furthermore, entertainment experiences using smart display devices lack immersion and customization because they lack advanced interactive features that allow users to control the progression of the story with voice commands. To address these challenges, a system is needed that can dynamically generate a story based on user input and provide an interactive experience.

[0661] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0662] In this invention, the server includes means for providing an interface for users to input genres, characters, and keywords, means for receiving and analyzing the input information, a generation AI means for generating an initial story and characters based on the analyzed data, means for playing the generated story by voice, means for receiving and analyzing user voice commands, and means for displaying the story on a smart display device as it is updated, thereby enabling users to experience a story that changes dynamically based on their preferences and selections, providing an interactive and customized entertainment experience.

[0663] "Genre" refers to themes or categories of entertainment content or stories.

[0664] "Character" refers to a person, animal, or fictional being that appears in a story or content.

[0665] "Keywords" refer to important words or phrases that users enter when generating a story.

[0666] "Interface" refers to the means or methods by which a user interacts with a system.

[0667] "Server means" refers to a server device that analyzes information received from users and provides data to the generation AI.

[0668] "Generative AI means" refers to artificial intelligence means that generate stories and characters based on analyzed data.

[0669] "Story progression" refers to the process by which the story unfolds and progresses based on the user's choices.

[0670] A "branching point" refers to a point in the story where the direction of the story changes depending on the choice the user makes.

[0671] "Choices" refers to the multiple options that users can choose from at branching points in the story.

[0672] "Voice command" refers to the method by which a user gives instructions to a system through voice.

[0673] "Smart display device" refers to a sophisticated display device for displaying visual information.

[0674] "Audio playback means" refers to a means for allowing the generated story to be played to the user using speech synthesis technology.

[0675] A "dynamic narrative" is a story whose content changes in real time based on user choices and input.

[0676] "Interactive" refers to a form in which the user interacts with the system and the system responds accordingly.

[0677] "Entertainment experience" refers to the entertainment and storytelling experiences that users can enjoy through the system.

[0678] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following describes an embodiment of the present invention.

[0679] First, the user inputs genre, characters, and keywords using the smart display device. The interface of the smart display device is equipped with a voice input function, allowing information to be input using voice commands. For example, the user can input keywords such as "fantasy adventure story," "dragon," "swordsman," and "magic" by voice.

[0680] The input information is received as data by the smart display device and sent to the server, which analyzes the information and generates the initial story and characters using generative AI means.

[0681] The generated story is played aloud using speech synthesis technology. This uses speech synthesis software such as the Google Text-to-Speech API. As the story progresses, the user is presented with options by voice at branching points. For example, the user may be presented with options such as, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire."

[0682] The user makes a choice by voice command. For example, they can say, "Choose the forest path." This voice command is sent to the server by the smart display device. The server analyzes the user's choice and issues new story instructions to the generation AI means. The generation AI means updates the story and characters.

[0683] This process is repeated until the user is satisfied with the story. The final story is played aloud and displayed on the smart display device, providing the user with an interactive and customized entertainment experience.

[0684] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the AI ​​generator will generate a story about "a swordsman's adventure against a dragon." If the user selects "Forest Path" at a branching point in the story, an additional development will occur in which "the swordsman enters the forest and finds new companions."

[0685] An example prompt would be "Fantasy adventure story, dragons, swordsmen, magic, which path will you choose: forest path, water path, fire path."

[0686] The system allows users to experience a story that changes dynamically based on their choices, providing an interactive and customized entertainment experience.

[0687] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0688] Step 1:

[0689] The user inputs genre, characters, and keywords by voice through the smart display device. When the user inputs voice commands such as "fantasy adventure story," "dragon," "swordsman," and "magic," the information is received by the device. The device converts the voice data into text data using voice recognition software (e.g., Google Speech-to-Text API). The input data is formatted into an object and sent to the server.

[0690] input:

[0691] Voice commands (e.g. "Fantasy adventure story," "Dragon," "Swordsman," "Magic")

[0692] output:

[0693] Formatted text data (e.g., { "genre": "Fantasy adventure story", "character": "Swordsman", "keywords": ["Dragon", "Magic"]})

[0694] Step 2:

[0695] The server receives the input data, parses it into JSON format, and analyzes it. The analyzed data is then divided into categories such as genre, character, and keyword, and converted into a dataset that provides instructions to the generative AI model. This process involves preprocessing the data as needed.

[0696] input:

[0697] JSON format of user-entered data (e.g., { "genre": "Fantasy adventure story", "character": "Swordsman", "keywords": ["Dragon", "Magic"]})

[0698] output:

[0699] A dataset to instruct the generative AI (e.g., { "genre": "Fantasy", "character": "Warrior", "keywords": ["Dragon", "Magic"]})

[0700] Step 3:

[0701] A generative AI model generates an initial story and characters based on the dataset. This generated content is sent back to the server as data in JSON format. A generative AI model (e.g., GPT-3) is used to generate a story based on user input.

[0702] input:

[0703] Dataset (e.g., { "genre": "Fantasy", "character": "Warrior", "keywords": ["Dragon", "Magic"]})

[0704] output:

[0705] Initial story and character data (e.g., { "story": "A warrior sets off on a quest to defeat a dragon...", "characters": ["Warrior", "Dragon"]})

[0706] Step 4:

[0707] The server converts the generated story data into audio data using speech synthesis software (e.g., Google Text-to-Speech API), which is then sent to the device and played back by the smart display device.

[0708] input:

[0709] Initial story and character data (e.g., { "story": "A warrior sets off on a quest to defeat a dragon...", "characters": ["Warrior", "Dragon"]})

[0710] output:

[0711] Audio data (e.g., audio files or streams)

[0712] Step 5:

[0713] As the story progresses, the server presents the user with branching choices. The choices are played back to the device as audio and are also displayed. For example, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire."

[0714] input:

[0715] Current story progress (e.g., { "current_story": "A warrior sets off on a quest to defeat a dragon...", "options": ["Forest Path", "Water Path", "Fire Path"]})

[0716] output:

[0717] Audio and display data (e.g., audio files or streams, display formats)

[0718] Step 6:

[0719] The user selects an option using a voice command, for example, "Choose the forest path." This voice command is recognized by the device and sent to the server as text data.

[0720] input:

[0721] User's voice command (e.g., "Choose the forest path")

[0722] output:

[0723] Formatted text data (e.g., { "choice": "Forest path"})

[0724] Step 7:

[0725] The server analyzes the user's selections and instructs the generative AI model to develop a new story, which in turn generates updated story data and sends it back to the server.

[0726] input:

[0727] Formatted user choice data (e.g., { "choice": "Forest path"})

[0728] output:

[0729] Updated story and character data (e.g., { "story": "The warrior enters the forest and finds a new ally...", "characters": ["Warrior", "Magic User"]})

[0730] Step 8:

[0731] The server then converts the updated story into audio data using speech synthesis software and sends it to the device, where the user's smart display device plays the updated story aloud and displays it on the screen.

[0732] input:

[0733] Updated story and character data (e.g., { "story": "The warrior enters the forest and finds a new ally...", "characters": ["Warrior", "Magic User"]})

[0734] output:

[0735] Audio and display data (e.g., audio files or streams, display formats)

[0736] Through these steps, users can enjoy an interactive and customized entertainment experience.

[0737] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0738] This invention combines an emotion engine with a system in which users input genres, characters, and keywords, and a generative AI generates and updates stories based on them, ultimately providing customized entertainment content. Specific embodiments based on the program of this system are described below.

[0739] Providing an interface

[0740] Users input genre, characters, and keywords through the device interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface is designed to be user-friendly, including text boxes, selection options, and image upload.

[0741] Receiving and analyzing information

[0742] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into a dataset to provide instructions to the generation AI.

[0743] Generative AI for early story and character generation

[0744] Based on the analyzed data, the server instructs the AI ​​to generate a story and characters. The AI ​​receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing off against a dragon may be generated. The generated story and characters are then sent to the device via the server.

[0745] Emotion recognition by emotion engine

[0746] While the user is watching the story, the emotion engine recognizes the user's emotional state by analyzing their facial expressions, tone of voice, and biometric signals. This data is sent by the device to a server, which then passes this information to the generation AI to influence the progression of the story.

[0747] User selection at branch points

[0748] As the story progresses, the user is presented with choices at certain branching points. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed. The user selects and inputs the desired option via the terminal.

[0749] Choice-based story updates

[0750] The user's choices are sent from the device to a server, which analyzes them and instructs the generation AI on how to develop a new story. The generation AI then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," a new plot development will be added in which the swordsman enters the forest and finds new allies. The emotion engine also collects the user's emotional data and adjusts the tone and tension of the story based on that data.

[0751] Ongoing Customization

[0752] As the story progresses, users can further customize it by entering additional keywords, images, etc. The device sends this new information to the server, which then incorporates it into the generating AI. The emotion engine also adjusts the story's progression based on the emotional data collected. For example, if the system determines that the user is tense, it can make the story a little more calming.

[0753] Final narrative output

[0754] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format. The generation AI then generates an entertainment piece based on this data and returns the data to the server. The server then sends the generated story to the device, allowing the user to watch or read it.

[0755] Specific examples

[0756] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story generated will be "An adventure in which a swordsman faces a dragon." As the story progresses, the options "Forest Path," "Water Path," and "Fire Path" are presented. If the user chooses "Forest Path," an additional plot development will be added in which the swordsman enters the forest and finds a new wizard companion. The emotion engine recognizes the user's emotions, and if it determines that the user is excited, for example, it can adjust the story's progression to a more tense tone. Ultimately, the user can enjoy their own special entertainment.

[0757] In this way, the generative AI generates and updates stories and characters based on user input and emotional data, providing users with a customized entertainment experience.

[0758] The processing flow will be explained below.

[0759] Step 1:

[0760] The user inputs genre, characters, and keywords through the terminal interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[0761] Step 2:

[0762] The terminal converts the information entered by the user into a data format such as JSON and sends it to the server.

[0763] Step 3:

[0764] The server parses the JSON data received from the device and divides it into categories such as genre, character, and keyword.

[0765] Step 4:

[0766] The server then issues instructions to the AI ​​generator based on the analyzed data, which is configured to generate the initial story and characters.

[0767] Step 5:

[0768] The generation AI receives instructions from the server and generates the initial story and characters. For example, it might generate a story such as "The adventure of a swordsman facing off against a dragon." The generated data is then returned to the server.

[0769] Step 6:

[0770] The server receives the initial story and character data returned by the generation AI and sends it to the device.

[0771] Step 7:

[0772] The device displays the received initial story and characters to the user.

[0773] Step 8:

[0774] As users continue to watch the story, the emotion engine analyzes their facial expressions, tone of voice, and biometric signals to recognize their emotional state.

[0775] Step 9:

[0776] The emotion engine stores the recognized emotion data on the device and transmits the data to the server as needed.

[0777] Step 10:

[0778] As the story progresses, when a certain branching point appears, the device will present the user with a choice, such as "Which path should the swordsman take to defeat the dragon: the path of the forest, the path of water, or the path of fire?"

[0779] Step 11:

[0780] The user selects the desired option from the options presented and inputs the selection into the terminal.

[0781] Step 12:

[0782] The device sends the user's selection to the server, where the selection data is again formatted in JSON or similar format.

[0783] Step 13:

[0784] The server receives and analyzes the user's selection data, then issues new instructions to the AI ​​generator, which is configured to update the story and characters based on the new choices.

[0785] Step 14:

[0786] The generation AI receives new instructions from the server and updates the story and characters based on the user's choices. For example, if the user chooses the "Forest Path," a new plot will be added in which the swordsman enters the forest and meets new allies. At the same time, the emotion engine adjusts the story and character expressions based on the emotional data collected.

[0787] Step 15:

[0788] The server receives the updated data returned from the generation AI and sends it to the terminal.

[0789] Step 16:

[0790] The device displays the updated story and characters to the user, and this process is repeated to progress the story.

[0791] Step 17:

[0792] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format.

[0793] Step 18:

[0794] The generation AI generates the final story in the specified format and returns the data to the server.

[0795] Step 19:

[0796] The server transmits the completed story data to the terminal.

[0797] Step 20:

[0798] The device allows users to watch or read the ultimate entertainment.

[0799] Specific examples

[0800] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story generated will be "An adventure in which a swordsman faces a dragon." As the story progresses, the user is presented with three options: "Forest Path," "Water Path," and "Fire Path." If the user chooses "Forest Path," the swordsman will enter the forest and find new companions. The emotion engine recognizes the user's emotions, and if it determines that the user is excited, for example, it will adjust the story's progression to a more tense tone. Ultimately, the user can enjoy their own special entertainment.

[0801] Example 2

[0802] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0803] Modern entertainment content needs to be able to accommodate diverse user preferences and emotional states, but existing systems lack the ability to reflect user emotions in real time. Furthermore, it is difficult to effectively utilize the user's emotional state and additional information when presenting choices to the user and branching the story.

[0804] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0805] In this invention, the server includes a user interface means for a user to input genres, characters, and keywords, a server means for receiving and analyzing the input information, a generative model means for generating an initial story and characters based on the analyzed data, an emotion analysis means for recognizing the user's emotions as the story progresses, a means for adjusting the tone and tension of the story based on the results of the emotion analysis, a means for presenting choices to the user at branching points as the story progresses, a generative model means for updating the story and characters based on the user's choices, and a means for generating a final story in text or video format and providing it to the user. This allows the generative model to generate and update the story and characters based on the user's input information and emotion data, thereby providing the user with a customized entertainment experience.

[0806] "User Interface" means the means by which a user inputs genres, characters, and keywords into the system, including text boxes, selection options, and image upload functionality.

[0807] The "server" is a means for analyzing information received from users and issuing instructions to the generative model, and has the functionality to parse and analyze data.

[0808] A "generative model" is a model for generating initial stories and characters based on analyzed data, and has the function of returning the generated stories and characters to the server.

[0809] "Emotion analysis" is a method of recognizing a user's emotional state by analyzing their facial expressions, tone of voice, and biometric signals, thereby enabling the user's emotions to be grasped in real time.

[0810] "Presenting options at branching points" is a method of presenting options to the user at specific branching points as the story progresses, allowing the user to direct the development of the story.

[0811] "Story updates" are a way for the generative model to update the story and characters based on user choices, and have the ability to add new developments.

[0812] "Final story generation in text or video format" refers to the format in which the generative model generates the final story and provides it to users, ultimately providing entertainment content.

[0813] This invention combines sentiment analysis with a system in which users input genre, characters, and keywords, and a generative model generates and updates a story based on that, ultimately delivering customized entertainment content.

[0814] Providing an interface

[0815] Users input genre, characters, and keywords through the device's user interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface is designed to be user-friendly, including text boxes, selection options, and image upload.

[0816] Receiving and analyzing information

[0817] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into datasets to provide instructions to the generative model.

[0818] Generative Modeling for Early Story and Character Generation

[0819] Based on the analyzed data, the server instructs a generative model (e.g., GPT-3 or GPT-4) to generate a story and characters. The generative model receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing a dragon is generated, and the generated story and characters are sent to the device via the server.

[0820] Emotion recognition through emotion analysis

[0821] While the user is watching the story, the device uses sensors such as a camera and microphone to analyze the user's facial expressions and tone of voice in real time. Emotion analysis uses this data to recognize the user's emotional state. This data is sent by the device to a server, which then passes this information to a generative model to influence the progression of the story.

[0822] User selection at branch points

[0823] As the story progresses, the user is presented with choices at certain branching points. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed, and the user selects the desired option and inputs it through the terminal. Once the option is entered, the information is sent to the server.

[0824] Choice-based story updates

[0825] The server analyzes the user's choices and passes the results to the generative model, which then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," the generative model adds a plot in which the swordsman enters the forest and finds new allies. The new story is then sent to the device via the server.

[0826] Ongoing Customization

[0827] As the story progresses, users can input additional keywords, images, and more to further customize the story. The device sends this new information to the server, which then incorporates it into the generative model. Sentiment analysis can also collect user emotional data and adjust the story's view and tension based on that data.

[0828] Final narrative output

[0829] When the story reaches its final stage, the server sends the entire data to the generative model, which instructs it to generate the final story in text or video format. The generative model then generates the entertainment piece and returns the data to the server, which then sends the generated story to the device for the user to watch or read.

[0830] Specific examples

[0831] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the generative model will generate an initial story called "An adventure in which a swordsman faces a dragon." As the story progresses, the model will present the options of "Forest Path," "Water Path," and "Fire Path" at certain branching points. If the user selects "Forest Path," the generative model will generate a new episode in which the swordsman finds a wizard in the forest. During this process, emotion analysis will analyze the user's facial expressions, and if the user is excited, the tone of the story will be adjusted to make it more tense.

[0832] Example prompts to input to the generative AI model

[0833] "To write a fantasy adventure story, generate a story in which the protagonist is a swordsman, the enemy is a dragon, and magic is used."

[0834] "The protagonist chooses the forest path. Come up with a new storyline based on this choice."

[0835] "Your audience is excited, so adjust the tone of your story to create suspense."

[0836] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0837] Step 1:

[0838] The user enters information through the interface.

[0839] Specifically, users use text boxes, options, and image upload functions on the device's user interface to enter information such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[0840] Input: Genre, Character, Keywords

[0841] Output: Formatted data (e.g. JSON format)

[0842] Step 2:

[0843] The device formats the information and sends it to the server.

[0844] The terminal formats the data entered by the user into JSON format and sends it to the server using the HTTP protocol, where it is used in subsequent parsing steps.

[0845] Input: Raw data entered by the user

[0846] Output: Pretty-printed JSON data

[0847] Step 3:

[0848] The server analyzes the received data.

[0849] The server parses the received data from JSON format and separates it by genre, character, and keyword, creating a dataset to feed to the generative model.

[0850] Input: JSON format data

[0851] Output: Analyzed genre, character, and keyword data

[0852] Step 4:

[0853] The server instructs the generative model to generate the initial story and characters.

[0854] The server generates prompts based on the parsed data and sends them to a generative model (e.g., GPT-3 or GPT-4), which then generates a story and characters and returns the results to the server.

[0855] Input: Prompt (e.g. "Generate an adventure in which a swordsman faces a dragon")

[0856] Output: Early story and characters

[0857] Step 5:

[0858] The server sends the generated story and characters to the device.

[0859] The generated story and characters are sent from the server to the device using the HTTP protocol, and the user can view the results on the interface.

[0860] Input: Story and characters returned by the generative model

[0861] Output: Story and character data

[0862] Step 6:

[0863] While the user watches the story, the device performs sentiment analysis.

[0864] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time, and sends the results as emotional data to a server using emotion analysis libraries and APIs.

[0865] Input: User's facial expression and voice data

[0866] Output: Emotion data

[0867] Step 7:

[0868] The server passes the emotion data to the generative model and reflects it in the story.

[0869] The server receives the emotional data and uses it to instruct the generative model to change the tone or tension of the story, for example, if the user is excited.

[0870] Input: Emotion data

[0871] Output: Adjusted narrative data

[0872] Step 8:

[0873] Present the user with choices at branching points in the story.

[0874] As the story progresses, the device presents the user with options such as "Forest Path," "Water Path," and "Fire Path." The user selects the option they want, and the device sends the result to the server.

[0875] Input: User's choice

[0876] Output: Branching data based on the selection

[0877] Step 9:

[0878] The server analyzes the user's choices and instructs the generative model on how to develop a new story.

[0879] The server analyzes the user's selection and sends a new prompt to the generative model. For example, if the user selects "Forest Path," it instructs the model to generate a new forest scene.

[0880] Input: User selected data

[0881] Output: New story development

[0882] Step 10:

[0883] The terminal receives and displays the new storyline.

[0884] The device receives new story data from the server and displays it on the user interface, allowing the user to view and read the updated story.

[0885] Input: New storyline

[0886] Output: The displayed story

[0887] (Application example 2)

[0888] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0889] Conventional interactive story generation systems can generate stories based on genres, characters, and keywords input by the user, but they cannot dynamically change the story to take into account the user's emotional state. This makes it difficult to provide an entertainment experience that matches the user's emotional state. In particular, systems that work with VR environments and head-mounted displays require real-time story updates based on the user's emotional state.

[0890] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0891] In this invention, the server includes means for providing an interface for the user to input genres, characters, and keywords, server means for receiving and analyzing the input information, generation AI means for generating an initial story and characters based on the analyzed data, means for presenting choices to the user at branching points as the story progresses, generation AI means for updating the story and characters based on the user's choices, emotion analysis means for analyzing the user's emotional state via a head-mounted display, generation AI means for dynamically changing the story and characters according to the emotional state, and means for providing the generated story to the user in text or video format, thereby enabling the story to progress and be updated in real time according to the user's emotional state.

[0892] A "genre" is a category that indicates the classification or type of entertainment content.

[0893] "Character" refers to a person, creature, or fictional being that appears in a story.

[0894] "Keywords" are words or phrases that are important in creating or updating a story.

[0895] An "interface" is something that provides a means for a user to input information into a system.

[0896] "Server means" refers to a server computer that has the function of receiving and analyzing information input by a user.

[0897] "Generative AI methods" refer to artificial intelligence technologies that generate stories and characters based on information entered by users.

[0898] A "branching point" is an important point in the story where the user decides which options to take.

[0899] "Choices" are multiple options presented to the user that affect the progression of the story.

[0900] "Emotion analysis means" refers to techniques or methods for analyzing a user's emotional state.

[0901] "Emotional state" refers to data that indicates a user's current emotional state or mood.

[0902] "Text format" refers to a format expressed as text or character data.

[0903] A "video format" is a format in which video or moving image data is expressed.

[0904] A specific embodiment for implementing this invention will be described. In this system, users input genres, characters, and keywords, and a generative AI generates and updates a story based on the input, ultimately providing customized entertainment content. Furthermore, the system has the ability to analyze the user's emotional state via a head-mounted display and dynamically change the story in real time.

[0905] First, the user inputs genre, characters, and keywords through the interface. For example, the interface is provided in the form of a text box or a selection box. When the user inputs information such as "fantasy adventure story," "swordsman," "dragon, magic," etc., the input information is sent to the server.

[0906] The server receives and analyzes the input information. This analysis uses data formats such as JSON and XML. The analyzed data is categorized by genre, character, and keyword, and converted into a dataset to be passed to the generation AI.

[0907] Next, the AI ​​generates an initial story and characters based on the analyzed data. For example, it might generate an adventure story about a swordsman facing off against a dragon. The generated story and characters are then sent to the user's device via a server.

[0908] Meanwhile, while the user is watching the story in the VR environment, the head-mounted display analyzes the user's emotional state, including facial expression analysis, voice tone analysis, and biometric signal analysis. The analyzed emotional data is sent to the server and passed to the generation AI.

[0909] As the story progresses, the user is presented with choices at certain branching points. For example, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire." The user selects their desired option through the interface of the head-mounted display.

[0910] Based on the user's choices and emotional data, the AI ​​will update the story and characters. For example, if the user chooses the "Forest Path" and is recognized as excited, the story will develop with more tension. The generated story is then provided to the user via the server.

[0911] Specific examples

[0912] If the user inputs "fantasy adventure story," "swordsman," "dragon, magic," the generator AI will start the story like this:

[0913] Example prompt sentence:

[0914] Genre: Fantasy

[0915] Character: Swordsman

[0916] Keywords: Dragon, Magic

[0917] Let's start the story.

[0918] As the story progresses, when the scene "The swordsmen proceed to the forest path" is reached, if the user selects "The Forest Path" and is determined to be excited, the generation AI will update the story as follows:

[0919] Example prompt sentence:

[0920] Current Story: "The Swordsmen Take the Forest Path"

[0921] User's emotional state: Excitement

[0922] Generate the following development that matches this sentiment.

[0923] In this way, generative AI can generate and update stories based on user input and sentiment analysis data, providing users with a customized entertainment experience.

[0924] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0925] Step 1:

[0926] The server provides an interface for users to input genres, characters, and keywords. The input interface is configured in a text box format or a selection format, and users can input their favorite genres, characters, and keywords in the fields. The input data is sent to the server by the terminal.

[0927] Step 2:

[0928] The server receives the data sent by the user and analyzes it. This analysis uses formats such as JSON and XML to classify the data by genre, character, and keyword. The analysis results are converted into a dataset to be passed to the generation AI.

[0929] Step 3:

[0930] The generation AI generates an initial story and characters based on the dataset sent from the server. The generated story is output in text format and sent to the user's device via the server. For example, if a user inputs "fantasy adventure story," "swordsman," "dragon, magic," the initial story generated will be "an adventure story in which a swordsman faces off against a dragon."

[0931] Step 4:

[0932] The user puts on a head-mounted display and begins to watch the generated story. The head-mounted display has the ability to analyze the user's facial expressions, tone of voice, and biometric signals, thereby detecting the user's emotional state in real time.

[0933] Step 5:

[0934] The head-mounted display senses the user's emotional state and sends that emotional data to a server via the device. For example, it analyzes whether the user is excited or sad, and passes the emotional results to the server as data.

[0935] Step 6:

[0936] The server issues instructions to the AI ​​generator based on the received emotional data, adjusting the tone and progression of the story. For example, if the server determines that the user is excited, the AI ​​generator will receive instructions to make the next story development more thrilling. Based on this emotional data, the AI ​​generator will predict the new story development and output it as text.

[0937] Step 7:

[0938] As the story progresses, the server presents the user with choices at certain branching points, such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire." The user selects their choice through the interface of the head-mounted display.

[0939] Step 8:

[0940] The device receives the user's selection and sends it to the server. The server analyzes this selection data and instructs the generation AI on the next development of the story. For example, if the user selects "Forest Path," the generation AI will create a new development of the story based on that selection.

[0941] Step 9:

[0942] The server sends the updated story to the user's device, and the user watches the new story through the head-mounted display. Steps 4 to 8 are repeated, and the story is dynamically generated and updated.

[0943] This provides a customized entertainment experience that is tailored to the user's emotional state and choices.

[0944] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0945] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0946] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0947] [Third embodiment]

[0948] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0949] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0950] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0951] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0952] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0953] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0954] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0955] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0956] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0957] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0958] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0959] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0960] This invention is a system in which a user inputs genres, characters, and keywords, and a generation AI generates individual entertainment content based on that information. Specific embodiments based on the program of this system are described below.

[0961] Providing an interface

[0962] The user inputs genre, characters, and keywords through the device interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface includes text boxes, selection options, and image upload options.

[0963] Receiving and analyzing information

[0964] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into a dataset to provide instructions to the generation AI.

[0965] Generative AI for early story and character generation

[0966] Based on the analyzed data, the server instructs the AI ​​to generate a story and characters. The AI ​​receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing off against a dragon may be generated. The generated story and characters are then sent to the device via the server.

[0967] User selection at branch points

[0968] As the story progresses, the user is presented with choices at certain crossroads. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed. The user selects and inputs the desired option via the terminal.

[0969] Choice-based story updates

[0970] The user's choices are sent from the device to the server, which analyzes them and instructs the AI ​​to develop a new story. The AI ​​then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," a scene will be added in which the swordsman enters the forest and finds new allies.

[0971] Ongoing Customization

[0972] As the story progresses, users can further customize the story by entering additional keywords, images, etc. The device sends this new information to the server, which then incorporates it into the generating AI.

[0973] Final narrative output

[0974] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format. The generation AI then generates an entertainment piece based on this data and returns the data to the server. The server then sends the generated story to the device, allowing the user to watch or read it.

[0975] Specific examples

[0976] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story "An adventure in which a swordsman faces a dragon" will be generated. As the story progresses, the options "Forest Path," "Water Path," and "Fire Path" will be presented. If the user chooses "Forest Path," an additional plot will be added in which the swordsman enters the forest and finds a new wizard companion. Ultimately, the user can enjoy their own special entertainment.

[0977] In this way, the generative AI generates and updates stories and characters based on user input, providing users with a customized entertainment experience.

[0978] The processing flow will be explained below.

[0979] Step 1:

[0980] The user inputs genre, characters, and keywords through the terminal interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[0981] Step 2:

[0982] The terminal receives the information entered by the user and formats it into a data format such as JSON, and then sends this formatted data to the server.

[0983] Step 3:

[0984] The server parses the JSON data received from the device and divides it into categories such as genre, character, and keyword.

[0985] Step 4:

[0986] The server then issues instructions to the AI ​​based on the analyzed data, specifically instructing it to generate an initial story and characters based on the genre and characters entered by the user.

[0987] Step 5:

[0988] The AI ​​receives instructions from the server and generates the initial story and characters. For example, it might generate a story about an adventure in which a swordsman faces off against a dragon. The generated data is then returned to the server.

[0989] Step 6:

[0990] The server receives the initial story and character data returned by the generation AI and sends it to the device.

[0991] Step 7:

[0992] The terminal displays the received initial story and characters to the user.

[0993] Step 8:

[0994] As the story progresses, when a certain branching point appears, the device will present the user with a choice of options, such as "Which path should the swordsman take to defeat the dragon: the path of the forest, the path of water, or the path of fire?"

[0995] Step 9:

[0996] The user selects the desired option from the options presented and inputs the selection into the terminal.

[0997] Step 10:

[0998] The device sends the user's selection to the server, where the selection data is again formatted in JSON or similar format.

[0999] Step 11:

[1000] The server receives and analyzes the user's selection data, then issues new instructions to the generation AI, specifically instructing it to update the story and characters based on the new choices.

[1001] Step 12:

[1002] The AI ​​receives new instructions from the server and updates the story and characters based on the user's choices. For example, if the user chooses the "Forest Path," an episode will be added in which the swordsman enters the forest and meets new allies.

[1003] Step 13:

[1004] The server receives the updated data returned from the generation AI and sends it to the terminal.

[1005] Step 14:

[1006] The device displays the updated story and characters to the user, and this process is repeated to progress the story.

[1007] Step 15:

[1008] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format.

[1009] Step 16:

[1010] The generation AI generates the final story in the specified format and returns the data to the server.

[1011] Step 17:

[1012] The server transmits the completed story data to the terminal.

[1013] Step 18:

[1014] The terminal allows the user to watch or read the ultimate entertainment.

[1015] Example 1

[1016] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1017] Conventional entertainment content generation systems have had difficulty generating individually customized stories based on user input. They also lacked the ability to provide real-time options at branching points in the story and update the story based on those choices. Furthermore, the final output format of the generated content was limited, making it difficult to improve the user experience.

[1018] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1019] In this invention, the server includes means for formatting input information into JSON or XML format and sending it to the server, means for analyzing the received data, classifying it by genre, character, and keyword, and issuing instructions to the generation AI, and means for generating an initial story and characters using a generation AI model (e.g., a generation AI model based on a natural language processing model). This enables the generation and updating of a customized story in real time based on the information input by the user, and the final story can be provided in text or video format, significantly improving the user experience.

[1020] An "interface" is a component of the system that provides an input means for the user to input genres, characters, and keywords.

[1021] "JSON" stands for JavaScript Object Notation, a lightweight data description format that is widely used as a data exchange format.

[1022] "XML" is an abbreviation for Extensible Markup Language, a markup language for defining the structure of documents and data.

[1023] A "server" is a device or system that acts as a central processing unit to process requests from clients, analyze data, and issue instructions to the generative AI.

[1024] A "generative AI model" is an artificial intelligence model used to generate stories and characters based on user input, and is based on natural language processing techniques.

[1025] A "branch point" is a specific point during the story where the user can decide on a choice, and depending on that choice the story will unfold in a different direction.

[1026] "Choices" refer to multiple options that are presented to the user as the story progresses, and the story and the character's actions change depending on the user's input.

[1027] "Text format" refers to an output format that provides the generated story as text data.

[1028] "Video format" refers to an output format that provides the generated story as video data.

[1029] This invention is a system that generates customized stories based on user input. Specifically, it uses a terminal, a server, and a generative AI model to generate a story based on the genre, characters, and keywords entered by the user, and by providing branching points that the user can select as the story progresses, it is possible to customize the development of the story in real time.

[1030] Providing an interface

[1031] The terminal provides an interface for the user to input genres, characters, and keywords. This interface includes user interface elements such as text boxes and pull-down menus. For example, the user inputs the information as follows:

[1032] Genre: Fantasy adventure story

[1033] Character: Dragon, Swordsman

[1034] Keywords: magic

[1035] Receiving and analyzing information

[1036] The terminal formats the information entered by the user into JSON or XML format. The formatted data is sent to a server via the Internet. The server parses the received data and classifies it by genre, character, and keyword. This is done using specific parsing software or libraries (e.g., a JSON parsing library).

[1037] Generative AI for early story and character generation

[1038] Based on the analyzed data, the server instructs the generative AI model to generate a story and characters. This generative AI model uses an "open source natural language processing model." For example, using GPT-3, the following prompt sentence is input to the generative AI model.

[1039] Create a fantasy adventure story where a swordsman faces off against a dragon.

[1040] A generative AI model generates a story and characters based on these instructions.

[1041] User selection at branch points

[1042] As the story progresses, the server presents the user with choices at certain branching points. For example, the following choices are displayed:

[1043] Which path should the swordsman take to defeat the dragon?

[1044] 1. Forest Path

[1045] 2. Waterway

[1046] 3. The Road of Fire

[1047] The user selects an option through the terminal and inputs the information into the terminal.

[1048] Choice-based story updates

[1049] The device sends the user's selection information to the server. The server analyzes it and instructs the generative AI model on how to develop a new story. For example, if the user selects "Forest Path," the following prompt sentence is input to the generative AI model:

[1050] If the user selects "Forest Path," add a scene in which the swordsman enters the forest and finds new allies.

[1051] The generative AI model updates the story and characters based on these instructions.

[1052] Final narrative output

[1053] When the story reaches its final stage, the server sends the entire data to the generative AI model to generate the final version of the story. This story is output in text or video format and sent to the device, where the user can watch or read it. For example, in text format, it is output in the following format:

[1054] The swordsman chose the forest path and found a new companion in the deep forest, the wizard. The two began preparing to join forces and face the dragon.

[1055] The above is a specific embodiment for carrying out the invention. This system allows users to enjoy their own customized entertainment content in real time.

[1056] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1057] Step 1:

[1058] The user inputs genre, characters, and keywords through the terminal interface. For example, the user inputs "fantasy adventure story," "dragon," "swordsman," and "magic" into the text boxes. The input here is done manually by the user, and the terminal receives the input.

[1059] Input: User inputs genre, character, and keyword text

[1060] Output: Temporarily save the entered information

[1061] Specific behavior:

[1062] The user enters the information into the text box and clicks the "Send" button. The device receives this information and temporarily stores it internally.

[1063] Step 2:

[1064] The device formats the input information into JSON or XML format, and the formatted data is sent to a server via the Internet.

[1065] Input: Genre, character, and keywords received from the user

[1066] Output: Formatted data in JSON or XML format

[1067] Specific behavior:

[1068] A script running on the device converts user input into JSON format, which is then sent to the server using an HTTP request.

[1069] Step 3:

[1070] The server receives and analyzes the data sent from the device, and based on the analysis results, categorizes the data by genre, character, and keyword.

[1071] Input: JSON or XML format data received from the device

[1072] Output: The analyzed dataset

[1073] Specific behavior:

[1074] A program running on the server parses the JSON or XML and extracts each element, which is then stored in an internal data store.

[1075] Step 4:

[1076] The server then uses the analyzed data to instruct a generative AI model to generate the initial story and characters, using natural language processing technology.

[1077] Input: Parsed dataset

[1078] Output: Initial story and characters generated by the generative AI model

[1079] Specific behavior:

[1080] The server sends a prompt to the generative AI model (e.g., GPT-3) saying, "Generate a fantasy adventure story in which a swordsman faces off against a dragon." The generated story and characters are sent back to the server.

[1081] Step 5:

[1082] The server sends the generated initial story and characters to the terminal, and the user can check the generated results through the terminal.

[1083] Input: Output data of the generative AI model

[1084] Output: Story and characters sent to device

[1085] Specific behavior:

[1086] The data generated on the server is sent back to the device via an HTTP response, and the device updates its UI to display this data.

[1087] Step 6:

[1088] The user chooses one of the options presented at the branching points of the story, such as "Which path should the swordsman take to defeat the dragon: the forest path, the water path, or the fire path?"

[1089] Input: User selects a choice

[1090] Output: Data of selected options

[1091] Specific behavior:

[1092] When the user clicks on a choice, the selection data is collected by a terminal script and saved for further processing.

[1093] Step 7:

[1094] The device formats the information selected by the user into JSON or XML format and sends it to the server.

[1095] Input: The option selected by the user

[1096] Output: Selection information formatted in JSON or XML

[1097] Specific behavior:

[1098] A script running on the device converts the selection information into JSON format and sends it to the server via an HTTP request.

[1099] Step 8:

[1100] The server receives the user's selection information, analyzes it, and instructs the generative AI model on how to develop a new story. For example, if the user selects "Forest Path," the server might instruct the model to add a scene in which the swordsman enters the forest and finds new allies.

[1101] Input: Selection information received from the terminal

[1102] Output: Updated story and characters

[1103] Specific behavior:

[1104] A program on the server analyzes the selection information, generates new prompts, and sends them to the generative AI model, which returns an updated story and characters, which are then sent back to the server.

[1105] Step 9:

[1106] The server sends the updated story and characters to the terminal for display to the user.

[1107] Input: Updated data returned from the generative AI model

[1108] Output: Updated story and characters sent to device

[1109] Specific behavior:

[1110] The data generated on the server is sent to the device via an HTTP response, which the device uses to update the UI and display the new story development.

[1111] Step 10:

[1112] When the final stage of the story is reached, the server sends the entire data to the generative AI model, instructing it to generate the final story, which is output in text or video format and sent to the device.

[1113] Input: Entire dataset

[1114] Output: Final story (text or video format)

[1115] Specific behavior:

[1116] A program on the server collects the entire dataset and sends it to the generative AI model, asking it to "generate the final story." The final story is then sent to the device, where the user can read or listen to it.

[1117] (Application example 1)

[1118] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1119] Modern entertainment demands customization based on user preferences. However, the stories and video content typically provided are static, limiting the ways in which users can interact with the content. Furthermore, entertainment experiences using smart display devices lack immersion and customization because they lack advanced interactive features that allow users to control the progression of the story with voice commands. To address these challenges, a system is needed that can dynamically generate a story based on user input and provide an interactive experience.

[1120] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1121] In this invention, the server includes means for providing an interface for users to input genres, characters, and keywords, means for receiving and analyzing the input information, a generation AI means for generating an initial story and characters based on the analyzed data, means for playing the generated story by voice, means for receiving and analyzing user voice commands, and means for displaying the story on a smart display device as it is updated, thereby enabling users to experience a story that changes dynamically based on their preferences and selections, providing an interactive and customized entertainment experience.

[1122] "Genre" refers to themes or categories of entertainment content or stories.

[1123] "Character" refers to a person, animal, or fictional being that appears in a story or content.

[1124] "Keywords" refer to important words or phrases that users enter when generating a story.

[1125] "Interface" refers to the means or methods by which a user interacts with a system.

[1126] "Server means" refers to a server device that analyzes information received from users and provides data to the generation AI.

[1127] "Generative AI means" refers to artificial intelligence means that generate stories and characters based on analyzed data.

[1128] "Story progression" refers to the process by which the story unfolds and progresses based on the user's choices.

[1129] A "branching point" refers to a point in the story where the direction of the story changes depending on the choice the user makes.

[1130] "Choices" refers to the multiple options that users can choose from at branching points in the story.

[1131] "Voice command" refers to the method by which a user gives instructions to a system through voice.

[1132] "Smart display device" refers to a sophisticated display device for displaying visual information.

[1133] "Audio playback means" refers to a means for allowing the generated story to be played to the user using speech synthesis technology.

[1134] A "dynamic narrative" is a story whose content changes in real time based on user choices and input.

[1135] "Interactive" refers to a form in which the user interacts with the system and the system responds accordingly.

[1136] "Entertainment experience" refers to the entertainment and storytelling experiences that users can enjoy through the system.

[1137] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following describes an embodiment of the present invention.

[1138] First, the user inputs genre, characters, and keywords using the smart display device. The interface of the smart display device is equipped with a voice input function, allowing information to be input using voice commands. For example, the user can input keywords such as "fantasy adventure story," "dragon," "swordsman," and "magic" by voice.

[1139] The input information is received as data by the smart display device and sent to the server, which analyzes the information and generates the initial story and characters using generative AI means.

[1140] The generated story is played aloud using speech synthesis technology. This uses speech synthesis software such as the Google Text-to-Speech API. As the story progresses, the user is presented with options by voice at branching points. For example, the user may be presented with options such as, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire."

[1141] The user makes a choice by voice command. For example, they can say, "Choose the forest path." This voice command is sent to the server by the smart display device. The server analyzes the user's choice and issues new story instructions to the generation AI means. The generation AI means updates the story and characters.

[1142] This process is repeated until the user is satisfied with the story. The final story is played aloud and displayed on the smart display device, providing the user with an interactive and customized entertainment experience.

[1143] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the AI ​​generator will generate a story about "a swordsman's adventure against a dragon." If the user selects "Forest Path" at a branching point in the story, an additional development will occur in which "the swordsman enters the forest and finds new companions."

[1144] An example prompt would be "Fantasy adventure story, dragons, swordsmen, magic, which path will you choose: forest path, water path, fire path."

[1145] The system allows users to experience a story that changes dynamically based on their choices, providing an interactive and customized entertainment experience.

[1146] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1147] Step 1:

[1148] The user inputs genre, characters, and keywords by voice through the smart display device. When the user inputs voice commands such as "fantasy adventure story," "dragon," "swordsman," and "magic," the information is received by the device. The device converts the voice data into text data using voice recognition software (e.g., Google Speech-to-Text API). The input data is formatted into an object and sent to the server.

[1149] input:

[1150] Voice commands (e.g. "Fantasy adventure story," "Dragon," "Swordsman," "Magic")

[1151] output:

[1152] Formatted text data (e.g., { "genre": "Fantasy adventure story", "character": "Swordsman", "keywords": ["Dragon", "Magic"]})

[1153] Step 2:

[1154] The server receives the input data, parses it into JSON format, and analyzes it. The analyzed data is then divided into categories such as genre, character, and keyword, and converted into a dataset that provides instructions to the generative AI model. This process involves preprocessing the data as needed.

[1155] input:

[1156] JSON format of user-entered data (e.g., { "genre": "Fantasy adventure story", "character": "Swordsman", "keywords": ["Dragon", "Magic"]})

[1157] output:

[1158] A dataset to instruct the generative AI (e.g., { "genre": "Fantasy", "character": "Warrior", "keywords": ["Dragon", "Magic"]})

[1159] Step 3:

[1160] A generative AI model generates an initial story and characters based on the dataset. This generated content is sent back to the server as data in JSON format. A generative AI model (e.g., GPT-3) is used to generate a story based on user input.

[1161] input:

[1162] Dataset (e.g., { "genre": "Fantasy", "character": "Warrior", "keywords": ["Dragon", "Magic"]})

[1163] output:

[1164] Initial story and character data (e.g., { "story": "A warrior sets off on a quest to defeat a dragon...", "characters": ["Warrior", "Dragon"]})

[1165] Step 4:

[1166] The server converts the generated story data into audio data using speech synthesis software (e.g., Google Text-to-Speech API), which is then sent to the device and played back by the smart display device.

[1167] input:

[1168] Initial story and character data (e.g., { "story": "A warrior sets off on a quest to defeat a dragon...", "characters": ["Warrior", "Dragon"]})

[1169] output:

[1170] Audio data (e.g., audio files or streams)

[1171] Step 5:

[1172] As the story progresses, the server presents the user with branching choices. The choices are played back to the device as audio and are also displayed. For example, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire."

[1173] input:

[1174] Current story progress (e.g., { "current_story": "A warrior sets off on a quest to defeat a dragon...", "options": ["Forest Path", "Water Path", "Fire Path"]})

[1175] output:

[1176] Audio and display data (e.g., audio files or streams, display formats)

[1177] Step 6:

[1178] The user selects an option using a voice command, for example, "Choose the forest path." This voice command is recognized by the device and sent to the server as text data.

[1179] input:

[1180] User's voice command (e.g., "Choose the forest path")

[1181] output:

[1182] Formatted text data (e.g., { "choice": "Forest path"})

[1183] Step 7:

[1184] The server analyzes the user's selections and instructs the generative AI model to develop a new story, which in turn generates updated story data and sends it back to the server.

[1185] input:

[1186] Formatted user choice data (e.g., { "choice": "Forest path"})

[1187] output:

[1188] Updated story and character data (e.g., { "story": "The warrior enters the forest and finds a new ally...", "characters": ["Warrior", "Magic User"]})

[1189] Step 8:

[1190] The server then converts the updated story into audio data using speech synthesis software and sends it to the device, where the user's smart display device plays the updated story aloud and displays it on the screen.

[1191] input:

[1192] Updated story and character data (e.g., { "story": "The warrior enters the forest and finds a new ally...", "characters": ["Warrior", "Magic User"]})

[1193] output:

[1194] Audio and display data (e.g., audio files or streams, display formats)

[1195] Through these steps, users can enjoy an interactive and customized entertainment experience.

[1196] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1197] This invention combines an emotion engine with a system in which users input genres, characters, and keywords, and a generative AI generates and updates stories based on them, ultimately providing customized entertainment content. Specific embodiments based on the program of this system are described below.

[1198] Providing an interface

[1199] Users input genre, characters, and keywords through the device interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface is designed to be user-friendly, including text boxes, selection options, and image upload.

[1200] Receiving and analyzing information

[1201] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into a dataset to provide instructions to the generation AI.

[1202] Generative AI for early story and character generation

[1203] Based on the analyzed data, the server instructs the AI ​​to generate a story and characters. The AI ​​receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing off against a dragon may be generated. The generated story and characters are then sent to the device via the server.

[1204] Emotion recognition by emotion engine

[1205] While the user is watching the story, the emotion engine recognizes the user's emotional state by analyzing their facial expressions, tone of voice, and biometric signals. This data is sent by the device to a server, which then passes this information to the generation AI to influence the progression of the story.

[1206] User selection at branch points

[1207] As the story progresses, the user is presented with choices at certain crossroads. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed. The user selects and inputs the desired option via the terminal.

[1208] Choice-based story updates

[1209] The user's choices are sent from the device to a server, which analyzes them and instructs the generation AI on how to develop a new story. The generation AI then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," a new plot development will be added in which the swordsman enters the forest and finds new allies. The emotion engine also collects the user's emotional data and adjusts the tone and tension of the story based on that data.

[1210] Ongoing Customization

[1211] As the story progresses, users can further customize it by entering additional keywords, images, etc. The device sends this new information to the server, which then incorporates it into the generating AI. The emotion engine also adjusts the story's progression based on the emotional data collected. For example, if the system determines that the user is tense, it can make the story a little more calming.

[1212] Final narrative output

[1213] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format. The generation AI then generates an entertainment piece based on this data and returns the data to the server. The server then sends the generated story to the device, allowing the user to watch or read it.

[1214] Specific examples

[1215] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story generated will be "An adventure in which a swordsman faces a dragon." As the story progresses, the options "Forest Path," "Water Path," and "Fire Path" are presented. If the user chooses "Forest Path," an additional plot development will be added in which the swordsman enters the forest and finds a new wizard companion. The emotion engine recognizes the user's emotions, and if it determines that the user is excited, for example, it can adjust the story's progression to a more tense tone. Ultimately, the user can enjoy their own special entertainment.

[1216] In this way, the generative AI generates and updates stories and characters based on user input and emotional data, providing users with a customized entertainment experience.

[1217] The processing flow will be explained below.

[1218] Step 1:

[1219] The user inputs genre, characters, and keywords through the terminal interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[1220] Step 2:

[1221] The terminal converts the information entered by the user into a data format such as JSON and sends it to the server.

[1222] Step 3:

[1223] The server parses the JSON data received from the device and divides it into categories such as genre, character, and keyword.

[1224] Step 4:

[1225] The server then issues instructions to the AI ​​generator based on the analyzed data, which is configured to generate the initial story and characters.

[1226] Step 5:

[1227] The generation AI receives instructions from the server and generates the initial story and characters. For example, it might generate a story such as "The adventure of a swordsman facing off against a dragon." The generated data is returned to the server.

[1228] Step 6:

[1229] The server receives the initial story and character data returned by the generation AI and sends it to the device.

[1230] Step 7:

[1231] The device displays the received initial story and characters to the user.

[1232] Step 8:

[1233] As users continue to watch the story, the emotion engine analyzes their facial expressions, tone of voice, and biometric signals to recognize their emotional state.

[1234] Step 9:

[1235] The emotion engine stores the recognized emotion data on the device and transmits the data to the server as needed.

[1236] Step 10:

[1237] As the story progresses, when a certain branching point appears, the device will present the user with a choice, such as "Which path should the swordsman take to defeat the dragon: the path of the forest, the path of water, or the path of fire?"

[1238] Step 11:

[1239] The user selects the desired option from the options presented and inputs the selection into the terminal.

[1240] Step 12:

[1241] The device sends the user's selection to the server, where the selection data is again formatted in JSON or similar format.

[1242] Step 13:

[1243] The server receives and analyzes the user's selection data, then issues new instructions to the AI ​​generator, which is configured to update the story and characters based on the new choices.

[1244] Step 14:

[1245] The generation AI receives new instructions from the server and updates the story and characters based on the user's choices. For example, if the user chooses the "Forest Path," a new plot will be added in which the swordsman enters the forest and meets new allies. At the same time, the emotion engine adjusts the story and character expressions based on the emotional data collected.

[1246] Step 15:

[1247] The server receives the updated data returned from the generation AI and sends it to the terminal.

[1248] Step 16:

[1249] The device displays the updated story and characters to the user, and this process is repeated to progress the story.

[1250] Step 17:

[1251] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format.

[1252] Step 18:

[1253] The generation AI generates the final story in the specified format and returns the data to the server.

[1254] Step 19:

[1255] The server transmits the completed story data to the terminal.

[1256] Step 20:

[1257] The device allows users to watch or read the ultimate entertainment.

[1258] Specific examples

[1259] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story generated will be "An adventure in which a swordsman faces a dragon." As the story progresses, the user is presented with three options: "Forest Path," "Water Path," and "Fire Path." If the user chooses "Forest Path," the swordsman will enter the forest and find new companions. The emotion engine recognizes the user's emotions, and if it determines that the user is excited, for example, it will adjust the story's progression to a more tense tone. Ultimately, the user can enjoy their own special entertainment.

[1260] Example 2

[1261] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1262] Modern entertainment content needs to be able to accommodate diverse user preferences and emotional states, but existing systems lack the ability to reflect user emotions in real time. Furthermore, it is difficult to effectively utilize the user's emotional state and additional information when presenting choices to the user and branching the story.

[1263] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1264] In this invention, the server includes a user interface means for a user to input genres, characters, and keywords, a server means for receiving and analyzing the input information, a generative model means for generating an initial story and characters based on the analyzed data, an emotion analysis means for recognizing the user's emotions as the story progresses, a means for adjusting the tone and tension of the story based on the results of the emotion analysis, a means for presenting choices to the user at branching points as the story progresses, a generative model means for updating the story and characters based on the user's choices, and a means for generating a final story in text or video format and providing it to the user. This allows the generative model to generate and update the story and characters based on the user's input information and emotion data, thereby providing the user with a customized entertainment experience.

[1265] "User Interface" means the means by which a user inputs genres, characters, and keywords into the system, including text boxes, selection options, and image upload functionality.

[1266] The "server" is a means for analyzing information received from users and issuing instructions to the generative model, and has the functionality to parse and analyze data.

[1267] A "generative model" is a model for generating an initial story and characters based on analyzed data, and has the function of returning the generated story and characters to the server.

[1268] "Emotion analysis" is a method of recognizing a user's emotional state by analyzing their facial expressions, tone of voice, and biometric signals, thereby enabling the user's emotions to be grasped in real time.

[1269] "Presenting options at branching points" is a method of presenting options to the user at specific branching points as the story progresses, allowing the user to direct the development of the story.

[1270] "Story updates" are a way for the generative model to update the story and characters based on user choices, and have the ability to add new developments.

[1271] "Final story generation in text or video format" refers to the format in which the generative model generates the final story and provides it to users, ultimately providing entertainment content.

[1272] This invention combines sentiment analysis with a system in which users input genre, characters, and keywords, and a generative model generates and updates a story based on that, ultimately delivering customized entertainment content.

[1273] Providing an interface

[1274] Users input genre, characters, and keywords through the device's user interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface is designed to be user-friendly, including text boxes, selection options, and image upload.

[1275] Receiving and analyzing information

[1276] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into datasets to provide instructions to the generative model.

[1277] Generative Modeling for Early Story and Character Generation

[1278] Based on the analyzed data, the server instructs a generative model (e.g., GPT-3 or GPT-4) to generate a story and characters. The generative model receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing a dragon is generated, and the generated story and characters are sent to the device via the server.

[1279] Emotion recognition through emotion analysis

[1280] While the user is watching the story, the device uses sensors such as a camera and microphone to analyze the user's facial expressions and tone of voice in real time. Emotion analysis uses this data to recognize the user's emotional state. This data is sent by the device to a server, which then passes this information to a generative model to influence the progression of the story.

[1281] User selection at branch points

[1282] As the story progresses, the user is presented with choices at certain branching points. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed, and the user selects the desired option and inputs it through the terminal. Once the option is entered, the information is sent to the server.

[1283] Choice-based story updates

[1284] The server analyzes the user's choices and passes the results to the generative model, which then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," the generative model adds a plot in which the swordsman enters the forest and finds new allies. The new story is then sent to the device via the server.

[1285] Ongoing Customization

[1286] As the story progresses, users can input additional keywords, images, and more to further customize the story. The device sends this new information to the server, which then incorporates it into the generative model. Sentiment analysis can also collect user emotional data and adjust the story's view and tension based on that data.

[1287] Final narrative output

[1288] When the story reaches its final stage, the server sends the entire data to the generative model, which instructs it to generate the final story in text or video format. The generative model then generates the entertainment piece and returns the data to the server, which then sends the generated story to the device for the user to watch or read.

[1289] Specific examples

[1290] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the generative model will generate an initial story called "An adventure in which a swordsman faces a dragon." As the story progresses, the model will present the options of "Forest Path," "Water Path," and "Fire Path" at certain branching points. If the user selects "Forest Path," the generative model will generate a new episode in which the swordsman finds a wizard in the forest. During this process, emotion analysis will analyze the user's facial expressions, and if the user is excited, the tone of the story will be adjusted to make it more tense.

[1291] Example prompts to input to the generative AI model

[1292] "To write a fantasy adventure story, generate a story in which the protagonist is a swordsman, the enemy is a dragon, and magic is used."

[1293] "The protagonist chooses the forest path. Come up with a new storyline based on this choice."

[1294] "Your audience is excited, so adjust the tone of your story to create suspense."

[1295] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1296] Step 1:

[1297] The user enters information through the interface.

[1298] Specifically, users use text boxes, options, and image upload functions on the device's user interface to enter information such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[1299] Input: Genre, Character, Keywords

[1300] Output: Formatted data (e.g. JSON format)

[1301] Step 2:

[1302] The device formats the information and sends it to the server.

[1303] The terminal formats the data entered by the user into JSON format and sends it to the server using the HTTP protocol, where it is used in subsequent parsing steps.

[1304] Input: Raw data entered by the user

[1305] Output: Pretty-printed JSON data

[1306] Step 3:

[1307] The server analyzes the received data.

[1308] The server parses the received data from JSON format and separates it by genre, character, and keyword, creating a dataset to feed to the generative model.

[1309] Input: JSON format data

[1310] Output: Analyzed genre, character, and keyword data

[1311] Step 4:

[1312] The server instructs the generative model to generate the initial story and characters.

[1313] The server generates prompts based on the parsed data and sends them to a generative model (e.g., GPT-3 or GPT-4), which then generates a story and characters and returns the results to the server.

[1314] Input: Prompt (e.g. "Generate an adventure in which a swordsman faces a dragon")

[1315] Output: Early story and characters

[1316] Step 5:

[1317] The server sends the generated story and characters to the device.

[1318] The generated story and characters are sent from the server to the device using the HTTP protocol, and the user can view the results on the interface.

[1319] Input: Story and characters returned by the generative model

[1320] Output: Story and character data

[1321] Step 6:

[1322] While the user watches the story, the device performs sentiment analysis.

[1323] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time, and sends the results as emotional data to a server using emotion analysis libraries and APIs.

[1324] Input: User's facial expression and voice data

[1325] Output: Emotion data

[1326] Step 7:

[1327] The server passes the emotion data to the generative model and reflects it in the story.

[1328] The server receives the emotional data and uses it to instruct the generative model to change the tone or tension of the story, for example, if the user is excited.

[1329] Input: Emotion data

[1330] Output: Adjusted narrative data

[1331] Step 8:

[1332] Present the user with choices at branching points in the story.

[1333] As the story progresses, the device presents the user with options such as "Forest Path," "Water Path," and "Fire Path." The user selects the option they want, and the device sends the result to the server.

[1334] Input: User's choice

[1335] Output: Branching data based on the selection

[1336] Step 9:

[1337] The server analyzes the user's choices and instructs the generative model on how to develop a new story.

[1338] The server analyzes the user's selection and sends a new prompt to the generative model. For example, if the user selects "Forest Path," it instructs the model to generate a new forest scene.

[1339] Input: User selected data

[1340] Output: New story development

[1341] Step 10:

[1342] The terminal receives and displays the new storyline.

[1343] The device receives new story data from the server and displays it on the user interface, allowing the user to view and read the updated story.

[1344] Input: New storyline

[1345] Output: The displayed story

[1346] (Application example 2)

[1347] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1348] Conventional interactive story generation systems can generate stories based on genres, characters, and keywords input by the user, but they cannot dynamically change the story to take into account the user's emotional state. This makes it difficult to provide an entertainment experience that matches the user's emotional state. In particular, systems that work with VR environments and head-mounted displays require real-time story updates based on the user's emotional state.

[1349] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1350] In this invention, the server includes means for providing an interface for the user to input genres, characters, and keywords, server means for receiving and analyzing the input information, generation AI means for generating an initial story and characters based on the analyzed data, means for presenting choices to the user at branching points as the story progresses, generation AI means for updating the story and characters based on the user's choices, emotion analysis means for analyzing the user's emotional state via a head-mounted display, generation AI means for dynamically changing the story and characters according to the emotional state, and means for providing the generated story to the user in text or video format, thereby enabling the story to progress and be updated in real time according to the user's emotional state.

[1351] A "genre" is a category that indicates the classification or type of entertainment content.

[1352] "Character" refers to a person, creature, or fictional being that appears in a story.

[1353] "Keywords" are words or phrases that are important in creating or updating a story.

[1354] An "interface" is something that provides a means for a user to input information into a system.

[1355] "Server means" refers to a server computer that has the function of receiving and analyzing information input by a user.

[1356] "Generative AI methods" refer to artificial intelligence technologies that generate stories and characters based on information entered by users.

[1357] A "branching point" is an important point in the story where the user decides which options to take.

[1358] "Choices" are multiple options presented to the user that affect the progression of the story.

[1359] "Emotion analysis means" refers to techniques or methods for analyzing a user's emotional state.

[1360] "Emotional state" refers to data that indicates a user's current emotional state or mood.

[1361] "Text format" refers to a format expressed as text or character data.

[1362] A "video format" is a format in which video or moving image data is expressed.

[1363] A specific embodiment for implementing this invention will be described. In this system, users input genres, characters, and keywords, and a generative AI generates and updates a story based on the input, ultimately providing customized entertainment content. Furthermore, the system has the ability to analyze the user's emotional state via a head-mounted display and dynamically change the story in real time.

[1364] First, the user inputs genre, characters, and keywords through the interface. For example, the interface is provided in the form of a text box or a selection box. When the user inputs information such as "fantasy adventure story," "swordsman," "dragon, magic," etc., the input information is sent to the server.

[1365] The server receives and analyzes the input information. This analysis uses data formats such as JSON and XML. The analyzed data is categorized by genre, character, and keyword, and converted into a dataset to be passed to the generation AI.

[1366] Next, the AI ​​generates an initial story and characters based on the analyzed data. For example, it might generate an adventure story about a swordsman facing off against a dragon. The generated story and characters are then sent to the user's device via a server.

[1367] Meanwhile, while the user is watching the story in the VR environment, the head-mounted display analyzes the user's emotional state, including facial expression analysis, voice tone analysis, and biometric signal analysis. The analyzed emotional data is sent to the server and passed to the generation AI.

[1368] As the story progresses, the user is presented with choices at certain branching points. For example, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire." The user selects their desired option through the interface of the head-mounted display.

[1369] Based on the user's choices and emotional data, the AI ​​will update the story and characters. For example, if the user chooses the "Forest Path" and is recognized as excited, the story will develop with more tension. The generated story is then provided to the user via the server.

[1370] Specific examples

[1371] If the user inputs "fantasy adventure story," "swordsman," "dragon, magic," the generator AI will start the story like this:

[1372] Example prompt sentence:

[1373] Genre: Fantasy

[1374] Character: Swordsman

[1375] Keywords: Dragon, Magic

[1376] Let's start the story.

[1377] As the story progresses, when the scene "The swordsmen proceed to the forest path" is reached, if the user selects "The Forest Path" and is determined to be excited, the generation AI will update the story as follows:

[1378] Example prompt sentence:

[1379] Current Story: "The Swordsmen Take the Forest Path"

[1380] User's emotional state: Excitement

[1381] Generate the following development that matches this sentiment.

[1382] In this way, generative AI can generate and update stories based on user input and sentiment analysis data, providing users with a customized entertainment experience.

[1383] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1384] Step 1:

[1385] The server provides an interface for users to input genres, characters, and keywords. The input interface is configured in a text box format or a selection format, and users can input their favorite genres, characters, and keywords in the fields. The input data is sent to the server by the terminal.

[1386] Step 2:

[1387] The server receives the data sent by the user and analyzes it. This analysis uses formats such as JSON and XML to classify the data by genre, character, and keyword. The analysis results are converted into a dataset to be passed to the generation AI.

[1388] Step 3:

[1389] The generation AI generates an initial story and characters based on the dataset sent from the server. The generated story is output in text format and sent to the user's device via the server. For example, if a user inputs "fantasy adventure story," "swordsman," "dragon, magic," the initial story generated will be "an adventure story in which a swordsman faces off against a dragon."

[1390] Step 4:

[1391] The user puts on a head-mounted display and begins to watch the generated story. The head-mounted display has the ability to analyze the user's facial expressions, tone of voice, and biometric signals, thereby detecting the user's emotional state in real time.

[1392] Step 5:

[1393] The head-mounted display senses the user's emotional state and sends that emotional data to a server via the device. For example, it analyzes whether the user is excited or sad, and passes the emotional results to the server as data.

[1394] Step 6:

[1395] The server issues instructions to the AI ​​generator based on the received emotional data, adjusting the tone and progression of the story. For example, if the server determines that the user is excited, the AI ​​generator will receive instructions to make the next story development more thrilling. Based on this emotional data, the AI ​​generator will predict the new story development and output it as text.

[1396] Step 7:

[1397] As the story progresses, the server presents the user with choices at certain branching points, such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire." The user selects their choice through the interface of the head-mounted display.

[1398] Step 8:

[1399] The device receives the user's selection and sends it to the server. The server analyzes this selection data and instructs the generation AI on the next development of the story. For example, if the user selects "Forest Path," the generation AI will create a new development of the story based on that selection.

[1400] Step 9:

[1401] The server sends the updated story to the user's device, and the user watches the new story through the head-mounted display. Steps 4 to 8 are repeated, and the story is dynamically generated and updated.

[1402] This provides a customized entertainment experience that is tailored to the user's emotional state and choices.

[1403] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1404] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1405] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1406] [Fourth embodiment]

[1407] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1408] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1409] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1410] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1411] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1412] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1413] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1414] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1415] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1416] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1417] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1418] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1419] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1420] This invention is a system in which a user inputs genres, characters, and keywords, and a generation AI generates individual entertainment content based on that information. Specific embodiments based on the program of this system are described below.

[1421] Providing an interface

[1422] The user inputs genre, characters, and keywords through the device interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface includes text boxes, selection options, and image upload options.

[1423] Receiving and analyzing information

[1424] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into a dataset to provide instructions to the generation AI.

[1425] Generative AI for early story and character generation

[1426] Based on the analyzed data, the server instructs the AI ​​to generate a story and characters. The AI ​​receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing off against a dragon may be generated. The generated story and characters are then sent to the device via the server.

[1427] User selection at branch points

[1428] As the story progresses, the user is presented with choices at certain crossroads. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed. The user selects and inputs the desired option via the terminal.

[1429] Choice-based story updates

[1430] The user's choices are sent from the device to the server, which analyzes them and instructs the AI ​​to develop a new story. The AI ​​then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," a scene will be added in which the swordsman enters the forest and finds new allies.

[1431] Ongoing Customization

[1432] As the story progresses, users can further customize the story by entering additional keywords, images, etc. The device sends this new information to the server, which then incorporates it into the generating AI.

[1433] Final narrative output

[1434] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format. The generation AI then generates an entertainment piece based on this data and returns the data to the server. The server then sends the generated story to the device, allowing the user to watch or read it.

[1435] Specific examples

[1436] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story "An adventure in which a swordsman faces a dragon" will be generated. As the story progresses, the options "Forest Path," "Water Path," and "Fire Path" will be presented. If the user chooses "Forest Path," an additional plot will be added in which the swordsman enters the forest and finds a new wizard companion. Ultimately, the user can enjoy their own special entertainment.

[1437] In this way, the generative AI generates and updates stories and characters based on user input, providing users with a customized entertainment experience.

[1438] The processing flow will be explained below.

[1439] Step 1:

[1440] The user inputs genre, characters, and keywords through the terminal interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[1441] Step 2:

[1442] The terminal receives the information entered by the user and formats it into a data format such as JSON, and then sends this formatted data to the server.

[1443] Step 3:

[1444] The server parses the JSON data received from the device and divides it into categories such as genre, character, and keyword.

[1445] Step 4:

[1446] The server then issues instructions to the AI ​​based on the analyzed data, specifically instructing it to generate an initial story and characters based on the genre and characters entered by the user.

[1447] Step 5:

[1448] The AI ​​receives instructions from the server and generates the initial story and characters. For example, it might generate a story about an adventure in which a swordsman faces off against a dragon. The generated data is then returned to the server.

[1449] Step 6:

[1450] The server receives the initial story and character data returned by the generation AI and sends it to the device.

[1451] Step 7:

[1452] The terminal displays the received initial story and characters to the user.

[1453] Step 8:

[1454] As the story progresses, when a certain branching point appears, the device will present the user with a choice of options, such as "Which path should the swordsman take to defeat the dragon: the path of the forest, the path of water, or the path of fire?"

[1455] Step 9:

[1456] The user selects the desired option from the options presented and inputs the selection into the terminal.

[1457] Step 10:

[1458] The device sends the user's selection to the server, where the selection data is again formatted in JSON or similar format.

[1459] Step 11:

[1460] The server receives and analyzes the user's selection data, then issues new instructions to the generation AI, specifically instructing it to update the story and characters based on the new choices.

[1461] Step 12:

[1462] The AI ​​receives new instructions from the server and updates the story and characters based on the user's choices. For example, if the user chooses the "Forest Path," an episode will be added in which the swordsman enters the forest and meets new allies.

[1463] Step 13:

[1464] The server receives the updated data returned from the generation AI and sends it to the terminal.

[1465] Step 14:

[1466] The device displays the updated story and characters to the user, and this process is repeated to progress the story.

[1467] Step 15:

[1468] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format.

[1469] Step 16:

[1470] The generation AI generates the final story in the specified format and returns the data to the server.

[1471] Step 17:

[1472] The server transmits the completed story data to the terminal.

[1473] Step 18:

[1474] The terminal allows the user to watch or read the ultimate entertainment.

[1475] Example 1

[1476] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1477] Conventional entertainment content generation systems have had difficulty generating individually customized stories based on user input. They also lacked the ability to provide real-time options at branching points in the story and update the story based on those choices. Furthermore, the final output format of the generated content was limited, making it difficult to improve the user experience.

[1478] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1479] In this invention, the server includes means for formatting input information into JSON or XML format and sending it to the server, means for analyzing the received data, classifying it by genre, character, and keyword, and issuing instructions to the generation AI, and means for generating an initial story and characters using a generation AI model (e.g., a generation AI model based on a natural language processing model). This enables the generation and updating of a customized story in real time based on the information input by the user, and the final story can be provided in text or video format, significantly improving the user experience.

[1480] An "interface" is a component of the system that provides an input means for the user to input genres, characters, and keywords.

[1481] "JSON" stands for JavaScript Object Notation, a lightweight data description format that is widely used as a data exchange format.

[1482] "XML" is an abbreviation for Extensible Markup Language, a markup language for defining the structure of documents and data.

[1483] A "server" is a device or system that acts as a central processing unit to process requests from clients, analyze data, and issue instructions to the generative AI.

[1484] A "generative AI model" is an artificial intelligence model used to generate stories and characters based on user input, and is based on natural language processing techniques.

[1485] A "branch point" is a specific point during the story where the user can decide on a choice, and depending on that choice the story will unfold in a different direction.

[1486] "Choices" refer to multiple options that are presented to the user as the story progresses, and the story and the character's actions change depending on the user's input.

[1487] "Text format" refers to an output format that provides the generated story as text data.

[1488] "Video format" refers to an output format that provides the generated story as video data.

[1489] This invention is a system that generates customized stories based on user input. Specifically, it uses a terminal, a server, and a generative AI model to generate a story based on the genre, characters, and keywords entered by the user, and by providing branching points that the user can select as the story progresses, it is possible to customize the development of the story in real time.

[1490] Providing an interface

[1491] The terminal provides an interface for the user to input genres, characters, and keywords. This interface includes user interface elements such as text boxes and pull-down menus. For example, the user inputs the information as follows:

[1492] Genre: Fantasy adventure story

[1493] Character: Dragon, Swordsman

[1494] Keywords: magic

[1495] Receiving and analyzing information

[1496] The terminal formats the information entered by the user into JSON or XML format. The formatted data is sent to a server via the Internet. The server parses the received data and classifies it by genre, character, and keyword. This is done using specific parsing software or libraries (e.g., a JSON parsing library).

[1497] Generative AI for early story and character generation

[1498] Based on the analyzed data, the server instructs the generative AI model to generate a story and characters. This generative AI model uses an "open source natural language processing model." For example, using GPT-3, the following prompt sentence is input to the generative AI model.

[1499] Create a fantasy adventure story where a swordsman faces off against a dragon.

[1500] A generative AI model generates a story and characters based on these instructions.

[1501] User selection at branch points

[1502] As the story progresses, the server presents the user with choices at certain branching points. For example, the following choices are displayed:

[1503] Which path should the swordsman take to defeat the dragon?

[1504] 1. Forest Path

[1505] 2. Waterway

[1506] 3. The Road of Fire

[1507] The user selects an option through the terminal and inputs the information into the terminal.

[1508] Choice-based story updates

[1509] The device sends the user's selection information to the server. The server analyzes it and instructs the generative AI model on how to develop a new story. For example, if the user selects "Forest Path," the following prompt sentence is input to the generative AI model:

[1510] If the user selects "Forest Path," add a scene in which the swordsman enters the forest and finds new allies.

[1511] The generative AI model updates the story and characters based on these instructions.

[1512] Final narrative output

[1513] When the story reaches its final stage, the server sends the entire data to the generative AI model to generate the final version of the story. This story is output in text or video format and sent to the device, where the user can watch or read it. For example, in text format, it is output in the following format:

[1514] The swordsman chose the forest path and found a new companion in the deep forest, the wizard. The two began preparing to join forces and face the dragon.

[1515] The above is a specific embodiment for carrying out the invention. This system allows users to enjoy their own customized entertainment content in real time.

[1516] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1517] Step 1:

[1518] The user inputs genre, characters, and keywords through the terminal interface. For example, the user inputs "fantasy adventure story," "dragon," "swordsman," and "magic" into the text boxes. The input here is done manually by the user, and the terminal receives the input.

[1519] Input: User inputs genre, character, and keyword text

[1520] Output: Temporarily save the entered information

[1521] Specific behavior:

[1522] The user enters the information into the text box and clicks the "Send" button. The device receives this information and temporarily stores it internally.

[1523] Step 2:

[1524] The device formats the input information into JSON or XML format, and the formatted data is sent to a server via the Internet.

[1525] Input: Genre, character, and keywords received from the user

[1526] Output: Formatted data in JSON or XML format

[1527] Specific behavior:

[1528] A script running on the device converts user input into JSON format, which is then sent to the server using an HTTP request.

[1529] Step 3:

[1530] The server receives and analyzes the data sent from the device, and based on the analysis results, categorizes the data by genre, character, and keyword.

[1531] Input: JSON or XML format data received from the device

[1532] Output: The analyzed dataset

[1533] Specific behavior:

[1534] A program running on the server parses the JSON or XML and extracts each element, which is then stored in an internal data store.

[1535] Step 4:

[1536] The server then uses the analyzed data to instruct a generative AI model to generate the initial story and characters, using natural language processing technology.

[1537] Input: Parsed dataset

[1538] Output: Initial story and characters generated by the generative AI model

[1539] Specific behavior:

[1540] The server sends a prompt to the generative AI model (e.g., GPT-3) saying, "Generate a fantasy adventure story in which a swordsman faces off against a dragon." The generated story and characters are sent back to the server.

[1541] Step 5:

[1542] The server sends the generated initial story and characters to the terminal, and the user can check the generated results through the terminal.

[1543] Input: Output data of the generative AI model

[1544] Output: Story and characters sent to device

[1545] Specific behavior:

[1546] The data generated on the server is sent back to the device via an HTTP response, and the device updates its UI to display this data.

[1547] Step 6:

[1548] The user chooses one of the options presented at the branching points of the story, such as "Which path should the swordsman take to defeat the dragon: the forest path, the water path, or the fire path?"

[1549] Input: User selects a choice

[1550] Output: Data of selected options

[1551] Specific behavior:

[1552] When the user clicks on a choice, the selection data is collected by a terminal script and saved for further processing.

[1553] Step 7:

[1554] The device formats the information selected by the user into JSON or XML format and sends it to the server.

[1555] Input: The option selected by the user

[1556] Output: Selection information formatted in JSON or XML

[1557] Specific behavior:

[1558] A script running on the device converts the selection information into JSON format and sends it to the server via an HTTP request.

[1559] Step 8:

[1560] The server receives the user's selection information, analyzes it, and instructs the generative AI model on how to develop a new story. For example, if the user selects "Forest Path," the server might instruct the model to add a scene in which the swordsman enters the forest and finds new allies.

[1561] Input: Selection information received from the terminal

[1562] Output: Updated story and characters

[1563] Specific behavior:

[1564] A program on the server analyzes the selection information, generates new prompts, and sends them to the generative AI model, which returns an updated story and characters, which are then sent back to the server.

[1565] Step 9:

[1566] The server sends the updated story and characters to the terminal for display to the user.

[1567] Input: Updated data returned from the generative AI model

[1568] Output: Updated story and characters sent to device

[1569] Specific behavior:

[1570] The data generated on the server is sent to the device via an HTTP response, which the device uses to update the UI and display the new story development.

[1571] Step 10:

[1572] When the final stage of the story is reached, the server sends the entire data to the generative AI model, instructing it to generate the final story, which is output in text or video format and sent to the device.

[1573] Input: Entire dataset

[1574] Output: Final story (text or video format)

[1575] Specific behavior:

[1576] A program on the server collects the entire dataset and sends it to the generative AI model, asking it to "generate the final story." The final story is then sent to the device, where the user can read or listen to it.

[1577] (Application example 1)

[1578] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1579] Modern entertainment demands customization based on user preferences. However, the stories and video content typically provided are static, limiting the ways in which users can interact with the content. Furthermore, entertainment experiences using smart display devices lack immersion and customization because they lack advanced interactive features that allow users to control the progression of the story with voice commands. To address these challenges, a system is needed that can dynamically generate a story based on user input and provide an interactive experience.

[1580] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1581] In this invention, the server includes means for providing an interface for users to input genres, characters, and keywords, means for receiving and analyzing the input information, a generation AI means for generating an initial story and characters based on the analyzed data, means for playing the generated story by voice, means for receiving and analyzing user voice commands, and means for displaying the story on a smart display device as it is updated, thereby enabling users to experience a story that changes dynamically based on their preferences and selections, providing an interactive and customized entertainment experience.

[1582] "Genre" refers to themes or categories of entertainment content or stories.

[1583] "Character" refers to a person, animal, or fictional being that appears in a story or content.

[1584] "Keywords" refer to important words or phrases that users enter when generating a story.

[1585] "Interface" refers to the means or methods by which a user interacts with a system.

[1586] "Server means" refers to a server device that analyzes information received from users and provides data to the generation AI.

[1587] "Generative AI means" refers to artificial intelligence means that generate stories and characters based on analyzed data.

[1588] "Story progression" refers to the process by which the story unfolds and progresses based on the user's choices.

[1589] A "branching point" refers to a point in the story where the direction of the story changes depending on the choice the user makes.

[1590] "Choices" refers to the multiple options that users can choose from at branching points in the story.

[1591] "Voice command" refers to the method by which a user gives instructions to a system through voice.

[1592] "Smart display device" refers to a sophisticated display device for displaying visual information.

[1593] "Audio playback means" refers to a means for allowing the generated story to be played to the user using speech synthesis technology.

[1594] A "dynamic narrative" is a story whose content changes in real time based on user choices and input.

[1595] "Interactive" refers to a form in which the user interacts with the system and the system responds accordingly.

[1596] "Entertainment experience" refers to the entertainment and storytelling experiences that users can enjoy through the system.

[1597] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following describes an embodiment of the present invention.

[1598] First, the user inputs genre, characters, and keywords using the smart display device. The interface of the smart display device is equipped with a voice input function, allowing information to be input using voice commands. For example, the user can input keywords such as "fantasy adventure story," "dragon," "swordsman," and "magic" by voice.

[1599] The input information is received as data by the smart display device and sent to the server, which analyzes the information and generates the initial story and characters using generative AI means.

[1600] The generated story is played aloud using speech synthesis technology. This uses speech synthesis software such as the Google Text-to-Speech API. As the story progresses, the user is presented with options by voice at branching points. For example, the user may be presented with options such as, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire."

[1601] The user makes a choice by voice command. For example, they can say, "Choose the forest path." This voice command is sent to the server by the smart display device. The server analyzes the user's choice and issues new story instructions to the generation AI means. The generation AI means updates the story and characters.

[1602] This process is repeated until the user is satisfied with the story. The final story is played aloud and displayed on the smart display device, providing the user with an interactive and customized entertainment experience.

[1603] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the AI ​​generator will generate a story about "a swordsman's adventure against a dragon." If the user selects "Forest Path" at a branching point in the story, an additional development will occur in which "the swordsman enters the forest and finds new companions."

[1604] An example prompt would be "Fantasy adventure story, dragons, swordsmen, magic, which path will you choose: forest path, water path, fire path."

[1605] The system allows users to experience a story that changes dynamically based on their choices, providing an interactive and customized entertainment experience.

[1606] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1607] Step 1:

[1608] The user inputs genre, characters, and keywords by voice through the smart display device. When the user inputs voice commands such as "fantasy adventure story," "dragon," "swordsman," and "magic," the information is received by the device. The device converts the voice data into text data using voice recognition software (e.g., Google Speech-to-Text API). The input data is formatted into an object and sent to the server.

[1609] input:

[1610] Voice commands (e.g. "Fantasy adventure story," "Dragon," "Swordsman," "Magic")

[1611] output:

[1612] Formatted text data (e.g., { "genre": "Fantasy adventure story", "character": "Swordsman", "keywords": ["Dragon", "Magic"]})

[1613] Step 2:

[1614] The server receives the input data, parses it into JSON format, and analyzes it. The analyzed data is then divided into categories such as genre, character, and keyword, and converted into a dataset that provides instructions to the generative AI model. This process involves preprocessing the data as needed.

[1615] input:

[1616] JSON format of user-entered data (e.g., { "genre": "Fantasy adventure story", "character": "Swordsman", "keywords": ["Dragon", "Magic"]})

[1617] output:

[1618] A dataset to instruct the generative AI (e.g., { "genre": "Fantasy", "character": "Warrior", "keywords": ["Dragon", "Magic"]})

[1619] Step 3:

[1620] A generative AI model generates an initial story and characters based on the dataset. This generated content is sent back to the server as data in JSON format. A generative AI model (e.g., GPT-3) is used to generate a story based on user input.

[1621] input:

[1622] Dataset (e.g., { "genre": "Fantasy", "character": "Warrior", "keywords": ["Dragon", "Magic"]})

[1623] output:

[1624] Initial story and character data (e.g., { "story": "A warrior sets off on a quest to defeat a dragon...", "characters": ["Warrior", "Dragon"]})

[1625] Step 4:

[1626] The server converts the generated story data into audio data using speech synthesis software (e.g., Google Text-to-Speech API), which is then sent to the device and played back by the smart display device.

[1627] input:

[1628] Initial story and character data (e.g., { "story": "A warrior sets off on a quest to defeat a dragon...", "characters": ["Warrior", "Dragon"]})

[1629] output:

[1630] Audio data (e.g., audio files or streams)

[1631] Step 5:

[1632] As the story progresses, the server presents the user with branching choices. The choices are played back to the device as audio and are also displayed. For example, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire."

[1633] input:

[1634] Current story progress (e.g., { "current_story": "A warrior sets off on a quest to defeat a dragon...", "options": ["Forest Path", "Water Path", "Fire Path"]})

[1635] output:

[1636] Audio and display data (e.g., audio files or streams, display formats)

[1637] Step 6:

[1638] The user selects an option using a voice command, for example, "Choose the forest path." This voice command is recognized by the device and sent to the server as text data.

[1639] input:

[1640] User's voice command (e.g., "Choose the forest path")

[1641] output:

[1642] Formatted text data (e.g., { "choice": "Forest path"})

[1643] Step 7:

[1644] The server analyzes the user's selections and instructs the generative AI model to develop a new story, which in turn generates updated story data and sends it back to the server.

[1645] input:

[1646] Formatted user choice data (e.g., { "choice": "Forest path"})

[1647] output:

[1648] Updated story and character data (e.g., { "story": "The warrior enters the forest and finds a new ally...", "characters": ["Warrior", "Magic User"]})

[1649] Step 8:

[1650] The server then converts the updated story into audio data using speech synthesis software and sends it to the device, where the user's smart display device plays the updated story aloud and displays it on the screen.

[1651] input:

[1652] Updated story and character data (e.g., { "story": "The warrior enters the forest and finds a new ally...", "characters": ["Warrior", "Magic User"]})

[1653] output:

[1654] Audio and display data (e.g., audio files or streams, display formats)

[1655] Through these steps, users can enjoy an interactive and customized entertainment experience.

[1656] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1657] This invention combines an emotion engine with a system in which users input genres, characters, and keywords, and a generative AI generates and updates stories based on them, ultimately providing customized entertainment content. Specific embodiments based on the program of this system are described below.

[1658] Providing an interface

[1659] Users input genre, characters, and keywords through the device interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface is designed to be user-friendly, including text boxes, selection options, and image upload.

[1660] Receiving and analyzing information

[1661] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into a dataset to provide instructions to the generation AI.

[1662] Generative AI for early story and character generation

[1663] Based on the analyzed data, the server instructs the AI ​​to generate a story and characters. The AI ​​receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing off against a dragon may be generated. The generated story and characters are then sent to the device via the server.

[1664] Emotion recognition by emotion engine

[1665] While the user is watching the story, the emotion engine recognizes the user's emotional state by analyzing their facial expressions, tone of voice, and biometric signals. This data is sent by the device to a server, which then passes this information to the generation AI to influence the progression of the story.

[1666] User selection at branch points

[1667] As the story progresses, the user is presented with choices at certain crossroads. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed. The user selects and inputs the desired option via the terminal.

[1668] Choice-based story updates

[1669] The user's choices are sent from the device to a server, which analyzes them and instructs the generation AI on how to develop a new story. The generation AI then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," a new plot development will be added in which the swordsman enters the forest and finds new allies. The emotion engine also collects the user's emotional data and adjusts the tone and tension of the story based on that data.

[1670] Ongoing Customization

[1671] As the story progresses, users can further customize it by entering additional keywords, images, etc. The device sends this new information to the server, which then incorporates it into the generating AI. The emotion engine also adjusts the story's progression based on the emotional data collected. For example, if the system determines that the user is tense, it can make the story a little more calming.

[1672] Final narrative output

[1673] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format. The generation AI then generates an entertainment piece based on this data and returns the data to the server. The server then sends the generated story to the device, allowing the user to watch or read it.

[1674] Specific examples

[1675] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story generated will be "An adventure in which a swordsman faces a dragon." As the story progresses, the options "Forest Path," "Water Path," and "Fire Path" are presented. If the user chooses "Forest Path," an additional plot development will be added in which the swordsman enters the forest and finds a new wizard companion. The emotion engine recognizes the user's emotions, and if it determines that the user is excited, for example, it can adjust the story's progression to a more tense tone. Ultimately, the user can enjoy their own special entertainment.

[1676] In this way, the generative AI generates and updates stories and characters based on user input and emotional data, providing users with a customized entertainment experience.

[1677] The processing flow will be explained below.

[1678] Step 1:

[1679] The user inputs genre, characters, and keywords through the terminal interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[1680] Step 2:

[1681] The terminal converts the information entered by the user into a data format such as JSON and sends it to the server.

[1682] Step 3:

[1683] The server parses the JSON data received from the device and divides it into categories such as genre, character, and keyword.

[1684] Step 4:

[1685] The server then issues instructions to the AI ​​generator based on the analyzed data, which is configured to generate the initial story and characters.

[1686] Step 5:

[1687] The generation AI receives instructions from the server and generates the initial story and characters. For example, it might generate a story such as "The adventure of a swordsman facing off against a dragon." The generated data is returned to the server.

[1688] Step 6:

[1689] The server receives the initial story and character data returned by the generation AI and sends it to the device.

[1690] Step 7:

[1691] The device displays the received initial story and characters to the user.

[1692] Step 8:

[1693] As users continue to watch the story, the emotion engine analyzes their facial expressions, tone of voice, and biometric signals to recognize their emotional state.

[1694] Step 9:

[1695] The emotion engine stores the recognized emotion data on the device and transmits the data to the server as needed.

[1696] Step 10:

[1697] As the story progresses, when a certain branching point appears, the device will present the user with a choice, such as "Which path should the swordsman take to defeat the dragon: the path of the forest, the path of water, or the path of fire?"

[1698] Step 11:

[1699] The user selects the desired option from the options presented and inputs the selection into the terminal.

[1700] Step 12:

[1701] The device sends the user's selection to the server, where the selection data is again formatted in JSON or similar format.

[1702] Step 13:

[1703] The server receives and analyzes the user's selection data, then issues new instructions to the AI ​​generator, which is configured to update the story and characters based on the new choices.

[1704] Step 14:

[1705] The generation AI receives new instructions from the server and updates the story and characters based on the user's choices. For example, if the user chooses the "Forest Path," a new plot will be added in which the swordsman enters the forest and meets new allies. At the same time, the emotion engine adjusts the story and character expressions based on the emotional data collected.

[1706] Step 15:

[1707] The server receives the updated data returned from the generation AI and sends it to the terminal.

[1708] Step 16:

[1709] The device displays the updated story and characters to the user, and this process is repeated to progress the story.

[1710] Step 17:

[1711] When the story reaches its final stage, the server sends the entire data to the generation AI, instructing it to generate the final story in text or video format.

[1712] Step 18:

[1713] The generation AI generates the final story in the specified format and returns the data to the server.

[1714] Step 19:

[1715] The server transmits the completed story data to the terminal.

[1716] Step 20:

[1717] The device allows users to watch or read the ultimate entertainment.

[1718] Specific examples

[1719] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the initial story generated will be "An adventure in which a swordsman faces a dragon." As the story progresses, the user is presented with three options: "Forest Path," "Water Path," and "Fire Path." If the user chooses "Forest Path," the swordsman will enter the forest and find new companions. The emotion engine recognizes the user's emotions, and if it determines that the user is excited, for example, it will adjust the story's progression to a more tense tone. Ultimately, the user can enjoy their own special entertainment.

[1720] Example 2

[1721] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1722] Modern entertainment content needs to be able to accommodate diverse user preferences and emotional states, but existing systems lack the ability to reflect user emotions in real time. Furthermore, it is difficult to effectively utilize the user's emotional state and additional information when presenting choices to the user and branching the story.

[1723] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1724] In this invention, the server includes a user interface means for a user to input genres, characters, and keywords, a server means for receiving and analyzing the input information, a generative model means for generating an initial story and characters based on the analyzed data, an emotion analysis means for recognizing the user's emotions as the story progresses, a means for adjusting the tone and tension of the story based on the results of the emotion analysis, a means for presenting choices to the user at branching points as the story progresses, a generative model means for updating the story and characters based on the user's choices, and a means for generating a final story in text or video format and providing it to the user. This allows the generative model to generate and update the story and characters based on the user's input information and emotion data, thereby providing the user with a customized entertainment experience.

[1725] "User Interface" means the means by which a user inputs genres, characters, and keywords into the system, including text boxes, selection options, and image upload functionality.

[1726] The "server" is a means for analyzing information received from users and issuing instructions to the generative model, and has the functionality to parse and analyze data.

[1727] A "generative model" is a model for generating an initial story and characters based on analyzed data, and has the function of returning the generated story and characters to the server.

[1728] "Emotion analysis" is a method of recognizing a user's emotional state by analyzing their facial expressions, tone of voice, and biometric signals, thereby enabling the user's emotions to be grasped in real time.

[1729] "Presenting options at branching points" is a method of presenting options to the user at specific branching points as the story progresses, allowing the user to direct the development of the story.

[1730] "Story updates" are a way for the generative model to update the story and characters based on user choices, and have the ability to add new developments.

[1731] "Final story generation in text or video format" refers to the format in which the generative model generates the final story and provides it to users, ultimately providing entertainment content.

[1732] This invention combines sentiment analysis with a system in which users input genre, characters, and keywords, and a generative model generates and updates a story based on that, ultimately delivering customized entertainment content.

[1733] Providing an interface

[1734] Users input genre, characters, and keywords through the device's user interface, such as "fantasy adventure story," "dragon," "swordsman," and "magic." The interface is designed to be user-friendly, including text boxes, selection options, and image upload.

[1735] Receiving and analyzing information

[1736] The information entered by the user into the device is formatted on the device and sent to the server. The server receives this information and parses it into formats such as JSON or XML. The analyzed data is divided into genres, characters, and keywords, and converted into datasets to provide instructions to the generative model.

[1737] Generative Modeling for Early Story and Character Generation

[1738] Based on the analyzed data, the server instructs a generative model (e.g., GPT-3 or GPT-4) to generate a story and characters. The generative model receives these instructions and generates an initial story and characters based on the genre and characters desired by the user. For example, a story centered on the adventure of a swordsman facing a dragon is generated, and the generated story and characters are sent to the device via the server.

[1739] Emotion recognition through emotion analysis

[1740] While the user is watching the story, the device uses sensors such as a camera and microphone to analyze the user's facial expressions and tone of voice in real time. Emotion analysis uses this data to recognize the user's emotional state. This data is sent by the device to a server, which then passes this information to a generative model to influence the progression of the story.

[1741] User selection at branch points

[1742] As the story progresses, the user is presented with choices at certain branching points. For example, choices such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire?" are displayed, and the user selects the desired option and inputs it through the terminal. Once the option is entered, the information is sent to the server.

[1743] Choice-based story updates

[1744] The server analyzes the user's choices and passes the results to the generative model, which then updates the story and characters based on the new choices. For example, if the user chooses the "Forest Path," the generative model adds a plot in which the swordsman enters the forest and finds new allies. The new story is then sent to the device via the server.

[1745] Ongoing Customization

[1746] As the story progresses, users can input additional keywords, images, and more to further customize the story. The device sends this new information to the server, which then incorporates it into the generative model. Sentiment analysis can also collect user emotional data and adjust the story's view and tension based on that data.

[1747] Final narrative output

[1748] When the story reaches its final stage, the server sends the entire data to the generative model, which instructs it to generate the final story in text or video format. The generative model then generates the entertainment piece and returns the data to the server, which then sends the generated story to the device for the user to watch or read.

[1749] Specific examples

[1750] For example, if a user inputs "fantasy adventure story," "dragon," "swordsman," and "magic," the generative model will generate an initial story called "An adventure in which a swordsman faces a dragon." As the story progresses, the model will present the options of "Forest Path," "Water Path," and "Fire Path" at certain branching points. If the user selects "Forest Path," the generative model will generate a new episode in which the swordsman finds a wizard in the forest. During this process, emotion analysis will analyze the user's facial expressions, and if the user is excited, the tone of the story will be adjusted to make it more tense.

[1751] Example prompts to input to the generative AI model

[1752] "To write a fantasy adventure story, generate a story in which the protagonist is a swordsman, the enemy is a dragon, and magic is used."

[1753] "The protagonist chooses the forest path. Come up with a new storyline based on this choice."

[1754] "Your audience is excited, so adjust the tone of your story to create suspense."

[1755] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1756] Step 1:

[1757] The user enters information through the interface.

[1758] Specifically, users use text boxes, options, and image upload functions on the device's user interface to enter information such as "fantasy adventure story," "dragon," "swordsman," and "magic."

[1759] Input: Genre, Character, Keywords

[1760] Output: Formatted data (e.g. JSON format)

[1761] Step 2:

[1762] The device formats the information and sends it to the server.

[1763] The terminal formats the data entered by the user into JSON format and sends it to the server using the HTTP protocol, where it is used in subsequent parsing steps.

[1764] Input: Raw data entered by the user

[1765] Output: Pretty-printed JSON data

[1766] Step 3:

[1767] The server analyzes the received data.

[1768] The server parses the received data from JSON format and separates it by genre, character, and keyword, creating a dataset to feed to the generative model.

[1769] Input: JSON format data

[1770] Output: Analyzed genre, character, and keyword data

[1771] Step 4:

[1772] The server instructs the generative model to generate the initial story and characters.

[1773] The server generates prompts based on the parsed data and sends them to a generative model (e.g., GPT-3 or GPT-4), which then generates a story and characters and returns the results to the server.

[1774] Input: Prompt (e.g. "Generate an adventure in which a swordsman faces a dragon")

[1775] Output: Early story and characters

[1776] Step 5:

[1777] The server sends the generated story and characters to the device.

[1778] The generated story and characters are sent from the server to the device using the HTTP protocol, and the user can view the results on the interface.

[1779] Input: Story and characters returned by the generative model

[1780] Output: Story and character data

[1781] Step 6:

[1782] While the user watches the story, the device performs sentiment analysis.

[1783] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time, and sends the results as emotional data to a server using emotion analysis libraries and APIs.

[1784] Input: User's facial expression and voice data

[1785] Output: Emotion data

[1786] Step 7:

[1787] The server passes the emotion data to the generative model and reflects it in the story.

[1788] The server receives the emotional data and uses it to instruct the generative model to change the tone or tension of the story, for example, if the user is excited.

[1789] Input: Emotion data

[1790] Output: Adjusted narrative data

[1791] Step 8:

[1792] Present the user with choices at branching points in the story.

[1793] As the story progresses, the device presents the user with options such as "Forest Path," "Water Path," and "Fire Path." The user selects the option they want, and the device sends the result to the server.

[1794] Input: User's choice

[1795] Output: Branching data based on the selection

[1796] Step 9:

[1797] The server analyzes the user's choices and instructs the generative model on how to develop a new story.

[1798] The server analyzes the user's selection and sends a new prompt to the generative model. For example, if the user selects "Forest Path," it instructs the model to generate a new forest scene.

[1799] Input: User selected data

[1800] Output: New story development

[1801] Step 10:

[1802] The terminal receives and displays the new storyline.

[1803] The device receives new story data from the server and displays it on the user interface, allowing the user to view and read the updated story.

[1804] Input: New storyline

[1805] Output: The displayed story

[1806] (Application example 2)

[1807] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1808] Conventional interactive story generation systems can generate stories based on genres, characters, and keywords input by the user, but they cannot dynamically change the story to take into account the user's emotional state. This makes it difficult to provide an entertainment experience that matches the user's emotional state. In particular, systems that work with VR environments and head-mounted displays require real-time story updates based on the user's emotional state.

[1809] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1810] In this invention, the server includes means for providing an interface for the user to input genres, characters, and keywords, server means for receiving and analyzing the input information, generation AI means for generating an initial story and characters based on the analyzed data, means for presenting choices to the user at branching points as the story progresses, generation AI means for updating the story and characters based on the user's choices, emotion analysis means for analyzing the user's emotional state via a head-mounted display, generation AI means for dynamically changing the story and characters according to the emotional state, and means for providing the generated story to the user in text or video format, thereby enabling the story to progress and be updated in real time according to the user's emotional state.

[1811] A "genre" is a category that indicates the classification or type of entertainment content.

[1812] "Character" refers to a person, creature, or fictional being that appears in a story.

[1813] "Keywords" are words or phrases that are important in creating or updating a story.

[1814] An "interface" is something that provides a means for a user to input information into a system.

[1815] "Server means" refers to a server computer that has the function of receiving and analyzing information input by a user.

[1816] "Generative AI methods" refer to artificial intelligence technologies that generate stories and characters based on information entered by users.

[1817] A "branching point" is an important point in the story where the user decides which options to take.

[1818] "Choices" are multiple options presented to the user that affect the progression of the story.

[1819] "Emotion analysis means" refers to techniques or methods for analyzing a user's emotional state.

[1820] "Emotional state" refers to data that indicates a user's current emotional state or mood.

[1821] "Text format" refers to a format expressed as text or character data.

[1822] A "video format" is a format in which video or moving image data is expressed.

[1823] A specific embodiment for implementing this invention will be described. In this system, users input genres, characters, and keywords, and a generative AI generates and updates a story based on the input, ultimately providing customized entertainment content. Furthermore, the system has the ability to analyze the user's emotional state via a head-mounted display and dynamically change the story in real time.

[1824] First, the user inputs genre, characters, and keywords through the interface. For example, the interface is provided in the form of a text box or a selection box. When the user inputs information such as "fantasy adventure story," "swordsman," "dragon, magic," etc., the input information is sent to the server.

[1825] The server receives and analyzes the input information. This analysis uses data formats such as JSON and XML. The analyzed data is categorized by genre, character, and keyword, and converted into a dataset to be passed to the generation AI.

[1826] Next, the AI ​​generates an initial story and characters based on the analyzed data. For example, it might generate an adventure story about a swordsman facing off against a dragon. The generated story and characters are then sent to the user's device via a server.

[1827] Meanwhile, while the user is watching the story in the VR environment, the head-mounted display analyzes the user's emotional state, including facial expression analysis, voice tone analysis, and biometric signal analysis. The analyzed emotional data is sent to the server and passed to the generation AI.

[1828] As the story progresses, the user is presented with choices at certain branching points. For example, "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire." The user selects their desired option through the interface of the head-mounted display.

[1829] Based on the user's choices and emotional data, the AI ​​will update the story and characters. For example, if the user chooses the "Forest Path" and is recognized as excited, the story will develop with more tension. The generated story is then provided to the user via the server.

[1830] Specific examples

[1831] If the user inputs "fantasy adventure story," "swordsman," "dragon, magic," the generator AI will start the story like this:

[1832] Example prompt sentence:

[1833] Genre: Fantasy

[1834] Character: Swordsman

[1835] Keywords: Dragon, Magic

[1836] Let's start the story.

[1837] As the story progresses, when the scene "The swordsmen proceed to the forest path" is reached, if the user selects "The Forest Path" and is determined to be excited, the generation AI will update the story as follows:

[1838] Example prompt sentence:

[1839] Current Story: "The Swordsmen Take the Forest Path"

[1840] User's emotional state: Excitement

[1841] Generate the following development that matches this sentiment.

[1842] In this way, generative AI can generate and update stories based on user input and sentiment analysis data, providing users with a customized entertainment experience.

[1843] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1844] Step 1:

[1845] The server provides an interface for users to input genres, characters, and keywords. The input interface is configured in a text box format or a selection format, and users can input their favorite genres, characters, and keywords in the fields. The input data is sent to the server by the terminal.

[1846] Step 2:

[1847] The server receives the data sent by the user and analyzes it. This analysis uses formats such as JSON and XML to classify the data by genre, character, and keyword. The analysis results are converted into a dataset to be passed to the generation AI.

[1848] Step 3:

[1849] The generation AI generates an initial story and characters based on the dataset sent from the server. The generated story is output in text format and sent to the user's device via the server. For example, if a user inputs "fantasy adventure story," "swordsman," "dragon, magic," the initial story generated will be "an adventure story in which a swordsman faces off against a dragon."

[1850] Step 4:

[1851] The user puts on a head-mounted display and begins to watch the generated story. The head-mounted display has the ability to analyze the user's facial expressions, tone of voice, and biometric signals, thereby detecting the user's emotional state in real time.

[1852] Step 5:

[1853] The head-mounted display senses the user's emotional state and sends that emotional data to a server via the device. For example, it analyzes whether the user is excited or sad, and passes the emotional results to the server as data.

[1854] Step 6:

[1855] The server issues instructions to the AI ​​generator based on the received emotional data, adjusting the tone and progression of the story. For example, if the server determines that the user is excited, the AI ​​generator will receive instructions to make the next story development more thrilling. Based on this emotional data, the AI ​​generator will predict the new story development and output it as text.

[1856] Step 7:

[1857] As the story progresses, the server presents the user with choices at certain branching points, such as "Which path should the swordsman take to defeat the dragon? The path of the forest, the path of water, or the path of fire." The user selects their choice through the interface of the head-mounted display.

[1858] Step 8:

[1859] The device receives the user's selection and sends it to the server. The server analyzes this selection data and instructs the generation AI on the next development of the story. For example, if the user selects "Forest Path," the generation AI will create a new development of the story based on that selection.

[1860] Step 9:

[1861] The server sends the updated story to the user's device, and the user watches the new story through the head-mounted display. Steps 4 to 8 are repeated, and the story is dynamically generated and updated.

[1862] This provides a customized entertainment experience that is tailored to the user's emotional state and choices.

[1863] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1864] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1865] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1866] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1867] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1868] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1869] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1870] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1871] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1872] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1873] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1874] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1875] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1876] 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.

[1877] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1878] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1879] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1880] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1881] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1882] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1883] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1884] The following is further disclosed regarding the above embodiment.

[1885] (Claim 1)

[1886] means for providing an interface for a user to input genres, characters, and keywords;

[1887] a server means for receiving and analyzing input information;

[1888] a generative AI means for generating an initial story and characters based on the analyzed data; and

[1889] As the story progresses, a means of presenting choices to the user at branching points,

[1890] A generative AI means to update the story and characters based on user choices;

[1891] means for generating and delivering the final narrative in text or video form to the user;

[1892] A system including:

[1893] (Claim 2)

[1894] 10. The system of claim 1, further comprising: analyzing user choices and sending new instructions to the generating AI.

[1895] (Claim 3)

[1896] 10. The system of claim 1, further comprising an interface for inputting additional user information.

[1897] "Example 1"

[1898] (Claim 1)

[1899] means for providing an interface for a user to input genres, characters, and keywords;

[1900] A means to format the input information into JSON or XML format and send it to the server,

[1901] A means for analyzing the received data, classifying it by genre, character, and keyword, and issuing instructions to the generation AI;

[1902] A means for generating an initial story and characters using a generative AI model (e.g., a generative AI model based on a natural language processing model); and

[1903] A means of presenting choices to the user at branching points as the story progresses;

[1904] The user's selection information is sent back to the server, analyzed, and a means is used to instruct the generation AI on how to develop a new story.

[1905] a means for generating and providing the final narrative to the user in text or video form;

[1906] A system including:

[1907] (Claim 2)

[1908] The system of claim 1, which analyzes user selection information and sends new instructions to the generation AI.

[1909] (Claim 3)

[1910] 10. The system of claim 1, further comprising an interface for inputting additional user information.

[1911] "Application Example 1"

[1912] (Claim 1)

[1913] means for providing an interface for a user to input genres, characters, and keywords;

[1914] a server means for receiving and analyzing input information;

[1915] a generative AI means for generating an initial story and characters based on the analyzed data; and

[1916] As the story progresses, a means of presenting choices to the user at branching points,

[1917] A generative AI means to update the story and characters based on user choices;

[1918] a means for playing the generated story aloud;

[1919] means for receiving and analyzing a user's voice commands;

[1920] a means for displaying the story on the smart display device as it is updated;

[1921] A system including:

[1922] (Claim 2)

[1923] 10. The system of claim 1, further comprising: analyzing user choices and sending new instructions to the generating AI.

[1924] (Claim 3)

[1925] 10. The system of claim 1, further comprising an interface for inputting additional user information.

[1926] "Example 2: Combining Emotion Engines"

[1927] (Claim 1)

[1928] a user interface means for a user to input genres, characters, and keywords;

[1929] a server means for receiving and analyzing input information;

[1930] a generative modeling means for generating an initial story and characters based on the analyzed data;

[1931] An emotion analysis method to recognize the user's emotions as the story progresses;

[1932] A means to adjust the tone and tension of the story based on the results of sentiment analysis;

[1933] A means to present choices to the user at branching points as the story progresses,

[1934] a generative modeling means for updating the story and characters based on user choices;

[1935] means for generating and delivering the final narrative in text or video form to the user;

[1936] A system including:

[1937] (Claim 2)

[1938] 10. The system of claim 1, further comprising: analyzing user choices and sending new instructions to the generative model.

[1939] (Claim 3)

[1940] 10. The system of claim 1, further comprising a user interface for inputting additional user information.

[1941] "Application example 2 when combining emotion engines"

[1942] (Claim 1)

[1943] means for providing an interface for a user to input genres, characters, and keywords;

[1944] a server means for receiving and analyzing input information;

[1945] a generative AI means for generating an initial story and characters based on the analyzed data; and

[1946] As the story progresses, a means of presenting choices to the user at branching points,

[1947] A generative AI means to update the story and characters based on user choices;

[1948] emotion analysis means for analyzing an emotional state of a user via a head-mounted display;

[1949] A generative AI means of dynamically changing the story and characters depending on their emotional state;

[1950] means for providing the generated narrative to a user in text or video format;

[1951] A system including:

[1952] (Claim 2)

[1953] 10. The system of claim 1, further comprising: analyzing user choices and sending new instructions to the generating AI.

[1954] (Claim 3)

[1955] 10. The system of claim 1, further comprising an interface for inputting additional user information.

[1956] (Claim 4)

[1957] The system of claim 1, which obtains user sentiment analysis data and adjusts the tone and progression of the story based on that data. [Explanation of symbols]

[1958] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for providing an interface for a user to input genres, characters, and keywords; a server means for receiving and analyzing input information; a generative AI means for generating an initial story and characters based on the analyzed data; and As the story progresses, a means of presenting choices to the user at branching points, A generative AI means to update the story and characters based on user choices; means for generating and delivering the final narrative to the user in text or video form; and A system including:

2. 10. The system of claim 1, further comprising: analyzing user choices and sending new instructions to the generating AI.

3. The system of claim 1 further comprising an interface for inputting additional user information.

Images