system

Abstract

We provide the system. [Solution] To provide an interactive experience in which users participate in a virtual story and the story changes based on their actions, a database means for recording pre-set storylines is provided, An input means that acquires user input using speech recognition technology and converts it into text data, A generation method that analyzes user input using a large-scale language model and dynamically generates the next development in a virtual environment, A display means that provides the user with the development of the generated story in visual and auditory form, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventional video works are only for viewers to passively appreciate, and viewers cannot directly participate in the story and influence its development. Therefore, there is a limitation that even if viewers seek an interactive experience such as "what would I do if I were in this scene", they cannot get a response. In response to such needs, there is a demand for a technology that can provide a participatory video work in which viewers can enter the world of a movie and actively advance the story.

Means for Solving the Problems

[0005] This invention provides a system that offers an interactive experience in which a user participates in a virtual story and the story changes based on their actions. The system includes a database means for recording pre-set storylines and an input means for acquiring user input using speech recognition technology and converting it into text data. Furthermore, it includes a generation means for analyzing user input with a large-scale language model and dynamically generating the next development in the virtual environment, and a display means for providing the generated story development to the user as visual and auditory. In this way, a new experience in which the user can actively participate in the story can be realized.

[0006] A "user" refers to the entity that operates the system and participates in a virtual narrative.

[0007] An "interactive experience" refers to an experience in which users can dynamically change the unfolding of a story through their own actions within a virtual environment.

[0008] A "storyline" refers to the sequence of events and scenes that make up the basic flow and framework of a film or narrative.

[0009] A "database system" refers to a system that systematically stores information and data in a specific format and maintains it in a state where it can be searched and used.

[0010] "Speech recognition technology" refers to the technology that converts speech into text data and is used to analyze speech data entered by a user into a system.

[0011] "Input method" refers to an interface that allows users to provide information or instructions to a system.

[0012] A "large-scale language model" is a model built by learning from a large amount of text data, and it has the ability to analyze and understand natural language.

[0013] "Generation means" refers to a system for dynamically creating the next development of a virtual environment or story based on user input.

[0014] "Display means" refers to devices and technologies for providing users with generated stories or virtual environments visually and audibly. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0019] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0020] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0023] [First Embodiment]

[0024] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0025] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0028] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0031] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0035] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0036] This invention provides an interactive experience in which users participate in the story of a virtual movie, and the story dynamically changes according to the user's choices and actions. The following describes in detail the forms in which this system can be implemented.

[0037] First, the server records the basic storyline as the initial setting for the film, preparing the setting for the story to be presented to the user. It also refers to the user's profile and past choices, and links them to the progression of the story.

[0038] The device is equipped with interfaces such as a VR device, touchscreen, and voice recognition microphone to allow users to interact with the system. Voice recognition technology is used to capture voice input provided by the user and convert it into text data quickly and accurately.

[0039] When a user makes a choice or gives instructions within the story, the device receives them and sends them to the server. The server analyzes the user's input using a large-scale language model and generates the next developments and character reactions based on the user's choices. In this generation process, the generative AI enables diverse developments and makes flexible changes to the story while maintaining narrative consistency.

[0040] The generated new scenes and choices are presented to the user via the device, providing a visual and auditory experience. This allows the user to experience various roles and perspectives within the story and advance the narrative based on their own choices.

[0041] As a concrete example, in a crime drama, the user takes on the role of a detective conducting an investigation and can choose their next action based on the evidence provided. For instance, if the user chooses to "interrogate this person," the server will then generate a scenario for how the interrogation scene will unfold. As new evidence is discovered or the suspense deepens, the user becomes more engrossed in the story.

[0042] In this way, the system of the present invention aims to provide an immersive and dynamic cinematic experience in which the user actively participates in the story and determines the flow of the narrative through their own choices.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The server loads the film's base storyline from the database and prepares the basic structure of the interactive narrative. At this stage, transitions and choices for each scene are also defined.

[0046] Step 2:

[0047] The terminal activates the user interface and prepares the voice recognition system. It also activates the VR device and necessary hardware, creating an environment where the user can start a movie at any time.

[0048] Step 3:

[0049] When the user enters instructions to start the story, the terminal receives the input and sends a session start request to the server.

[0050] Step 4:

[0051] The server creates a new session and sends the initial scene to the user's terminal. Data containing information about each character and environment is sent to the terminal.

[0052] Step 5:

[0053] The device renders the initial scene on a VR or visual display and presents it to the user. It simultaneously plays both visual and auditory information.

[0054] Step 6:

[0055] Users can give voice commands to control actions as the story progresses. For example, they can interact with characters or select their next destination.

[0056] Step 7:

[0057] The device converts the user's voice input into text in real time and sends that text to the server.

[0058] Step 8:

[0059] The server uses a large-scale language model to analyze user instructions and dynamically generates the next storyline and scene to proceed to. A new development is then determined.

[0060] Step 9:

[0061] The server sends the next generated scene data to the terminal. This data includes changes such as the appearance of new characters or the occurrence of events.

[0062] Step 10:

[0063] The device renders a new scene and presents it to the user again. Sound effects tailored to the scene are also played, enhancing the user's immersion.

[0064] Step 11:

[0065] As the story progresses, if the user's choices lead to a dramatic conclusion, the server generates the final ending and wraps up the storyline.

[0066] Step 12:

[0067] The device plays the ending scene, informing the user that the story has concluded. The user can also revisit the story and experience a new version with different choices.

[0068] (Example 1)

[0069] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0070] In modern entertainment, users desire deeper immersion in narratives and more subjective experiences. However, traditional movies and games remain in a format where users passively consume predetermined storylines, failing to adequately provide interactive experiences that dynamically change based on user choices. There is a need to solve this problem and provide systems that allow users to advance the narrative through their own choices and experience different endings.

[0071] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0072] In this invention, the server includes a storage device for recording the basis of a pre-configured story, an information processing device for customizing the story using the user's personal information and past selection history, and an acquisition device for converting the user's utterances into data using speech recognition technology. This makes it possible for the user to participate in a virtual story and be provided with an interactive experience that changes dynamically based on their choices.

[0073] A "storage device" is a device used to record and save data that forms the basis of a story in advance.

[0074] An "information processing device" is a device that utilizes a user's personal information and past selection history to prepare a customized story for each user.

[0075] An "acquisition device" is a device that uses speech recognition technology to accurately acquire voice input from a user and convert it into data.

[0076] A "generator" is a device that uses advanced language models to analyze user input and dynamically generate the next development in the story.

[0077] An "output device" is a device that provides the user with the development of the generated story in visual and auditory form, thereby realizing an immersive experience.

[0078] A "dialogue device" is a device that provides an interactive means to help users choose their next action based on the development of a generated story.

[0079] This invention provides a system that offers an interactive experience in which users participate in a virtual story and the story dynamically changes based on their choices. The following hardware and software are used in implementing this system.

[0080] The server records the storyline, which forms the basis of the narrative, in a storage device. This allows the system to provide a pre-configured story framework. The server also uses an information processing device to collect the user's personal information and past selection history, and prepares a personalized story for each user. At this stage, database technology is utilized to achieve efficient information management.

[0081] The device utilizes speech recognition technology to obtain input from the user. The device incorporates a speech recognition API that converts the user's voice input into text data. In this process, the voice input is processed quickly and accurately, and used as foundational data to understand the user's intent.

[0082] The user's choices are sent from the terminal to the server. The server uses a generator and a generative AI model to generate the next story development based on the user's choices. Specifically, it uses an advanced language model to generate prompt sentences, thereby flexibly constructing the story's progression. An example of a prompt sentence might be, "Think of a new development for questioning a suspect in a police interrogation scene."

[0083] The generated story is presented to the user by an output device built into the terminal. The terminal utilizes a graphics processing unit and sound system to provide a realistic and immersive visual and auditory experience. This allows the user to experience various scenarios while being immersed in the world of the story.

[0084] Based on the above, the present invention provides a concrete method for users to interactively participate in a story and dynamically determine the flow of the story through their own choices. This system aims to realize an innovative user experience that surpasses conventional entertainment experiences.

[0085] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0086] Step 1:

[0087] The server records the storyline, which forms the basis of the narrative, into a storage device. The input is the narrative's setting information, which is saved in the database, thus preparing the basic structure of the scenario. The output of this process provides the foundational data necessary to enable dynamic development based on user choices.

[0088] Step 2:

[0089] The server collects user profile information and past selection history using an information processing device. Input includes the user's past operation history and personal settings. This data is extracted and analyzed through database queries to create a story progression optimized for the user. The output is a customized story tailored to each user.

[0090] Step 3:

[0091] The device uses speech recognition technology to acquire voice input from the user and convert it into text data. The input is the user's speech. Using a speech recognition API, this speech is converted into text data, and necessary commands and intentions are extracted as text. The output is text data used for analysis.

[0092] Step 4:

[0093] The user's selections are sent from the terminal to the server. The input is the user's determined selection, which is transmitted to the server via the network. The output is input data to determine the next step.

[0094] Step 5:

[0095] The server uses a generator and leverages a generative AI model to generate the next development in the story based on the user's choices. At this stage, the input consists of user selection data and a pre-configured storyline. Based on this data, prompts are generated, and a new scenario is constructed using an advanced language model. The output is the generated storyline.

[0096] Step 6:

[0097] The generated storyline is presented to the user by an output device built into the terminal. The input is the storyline sent from the server. Based on this information, visual and auditory content is generated and presented to the user. The output is an interactive environment where the user can choose their next action.

[0098] (Application Example 1)

[0099] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0100] Traditional film and storytelling experiences are inherently passive, with limited ways in which users can actively participate in the narrative. In particular, there was a need to provide interactive entertainment that enhances immersion through visuals and sound, while dynamically changing the story based on user choices.

[0101] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0102] In this invention, the server includes information recording means for storing a pre-set story progression, which is used to provide an interactive experience in which the user participates in a virtual story and the story in the virtual environment changes based on the user's actions; an input device for acquiring user input using speech recognition technology and converting it into text information; a generation device for dynamically creating the next development in the virtual environment using a large-scale language model for generating the next story development based on the user's action choices; a display device for providing the generated story development to the user as visual and audio information; and a virtual reality experience means for the user to enjoy an interactive experience using a VR device. This allows the user to change the story through their own choices, enabling a more immersive and dynamic story experience.

[0103] A "virtual story" is a fictional narrative that unfolds in a digital environment in which users can participate interactively.

[0104] "User actions" refer to the options that users choose or the instructions they give as the story progresses.

[0105] "Information recording means" refers to a database that stores the progress of a pre-set story and refers to it when presenting it to the user.

[0106] "Speech recognition technology" is a technology that converts voice input from users into text data in real time.

[0107] An "input device" is a device that receives voice input from a user and converts it into text information.

[0108] A "large-scale language model" is an artificial intelligence technology that analyzes user input and dynamically generates the next story development.

[0109] A "generation device" is a system component that has the means to dynamically create the next development based on the user's action choices.

[0110] A "display device" is a device that provides the user with the development of a generated story in visual and auditory forms.

[0111] "Virtual reality experience means" refers to methods and means that enable users to enjoy interactive experiences using VR devices.

[0112] The system for realizing this invention allows users to immerse themselves in a virtual story by wearing a VR device and experience an interactive story through voice input. The hardware, software, and data processing methods used are described below.

[0113] The system includes a VR device worn by the user (e.g., a general-purpose head-mounted display). The user acts as a character in the story, giving instructions and making choices through voice. This voice is converted into text data in real time using speech recognition software (e.g., Google® Cloud Speech-to-Text) embedded in a speech recognition device.

[0114] The server uses a large-scale language model (e.g., OpenAI® GPT) to analyze the user's voice input, which has been converted into text data, and generates the next development of the scenario. In this process, a generative AI model is used to flexibly generate diverse story developments, while maintaining consistency in the narrative.

[0115] The generated storyline is delivered to the user as video and audio by the server. This process is then transmitted visually and audibly to the user's VR device, allowing them to continue their experience within the virtual narrative.

[0116] For example, if a user gives a voice command such as "Investigate this room" as part of a crime drama, the server analyzes the choice and generates a storyline in which new evidence is discovered. An example of a prompt used in this process is, "The user has chosen to explore the room in the crime drama. What clues will be found, and what choices will be presented to the user in the next step?" This allows the user to determine the next developments through their own choices within the story, resulting in a deeper sense of immersion.

[0117] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0118] Step 1:

[0119] The user participates in a virtual story using a VR headset and selects actions within the story. This step involves initial setup to allow the user to enter the VR space and begin the interaction.

[0120] Step 2:

[0121] The terminal receives the user's voice input and converts it into text data in real time using a speech recognition device. The input is the user's voice, and the output is text data. This conversion is carried out using speech recognition technology, and dedicated software performs this process.

[0122] Step 3:

[0123] The server receives text data sent from the terminal and analyzes it using a large-scale language model. This analysis generates the next story development based on the user's choices. The input is text data, and the output is data for the next story development. The server uses a generative AI model to generate a story based, for example, on a prompt sentence such as "The user chose to explore a room in a crime drama. As the next development, what clues will be found, and what choices will be presented to the user?"

[0124] Step 4:

[0125] The device receives story data from the server and presents it to the user in the form of visuals and audio. The input is story data, and the output is visual and audio information. The device then conveys newly generated scenes to the user through the VR device. The user can advance the story through these new developments.

[0126] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0127] This invention provides a system that offers an interactive experience in which users participate in a virtual story, and the story dynamically changes based on their actions and emotions. The following describes specific forms for implementing this system.

[0128] This system first records pre-configured storylines on the server, providing a foundation for how the story unfolds based on user actions. Multiple scenarios and endings are stored in a database, ready to dynamically advance the story in response to user interaction.

[0129] The device provides an interface for receiving input from the user. It converts the user's voice input into text data using speech recognition technology, and is also equipped with a camera and microphone to acquire emotional data from the user's facial expressions and tone of voice. The emotional recognition means analyzes the user's current emotional state, and this information is sent to the server as feedback.

[0130] The server uses a large-scale language model that analyzes user behavior-based instructions and a generation method that leverages acquired sentiment data. Based on this information, it generates the next development in the story, providing an experience that resonates with the user's emotions. This process enables a more personalized narrative progression.

[0131] The device renders newly generated scenes and narrative developments onto the VR or display. It presents the scenario to the user visually and audibly, providing emotionally responsive interactions. This allows the user to experience a dynamic narrative that reflects their own emotions and choices.

[0132] As a concrete example, the system analyzes signs of stress and excitement that the user displays during dialogue scenes with characters, and the server adjusts the character's reactions and subsequent choices accordingly. For instance, if the user shows a relaxed expression, the story can proceed in a more relaxed manner.

[0133] In this way, the system of the present invention aims to realize a more immersive and interactive movie experience in which the story progresses based on both the user's choices and emotions.

[0134] The following describes the processing flow.

[0135] Step 1:

[0136] The server loads existing storylines and scenarios from the database and associates them with the user's profile information, preparing to launch an interactive narrative.

[0137] Step 2:

[0138] The device activates the user interface, initializes the voice recognition system and emotion recognition functions (camera and microphone), and prepares for user input.

[0139] Step 3:

[0140] To begin the story, the user inputs voice commands into the device. At this time, the device also collects the user's facial expression data via its camera.

[0141] Step 4:

[0142] The device converts the user's voice into text data and simultaneously analyzes emotional data from facial expressions and voice tone. This information is then sent to the server.

[0143] Step 5:

[0144] The server receives textualized instructions and sentiment data, which are then analyzed using a large-scale language model. Based on the user's intentions and emotional state, it generates the next steps in the scenario and the character's response.

[0145] Step 6:

[0146] The server generates scenarios that reflect the emotion recognition results and determines the story development that is appropriate for the user. This process is supported by generative AI.

[0147] Step 7:

[0148] The server sends the newly generated scene data to the terminal. This data includes character dialogue and events tailored to the user's emotions.

[0149] Step 8:

[0150] The device renders a new scene and provides the user with visual and audio content. The scene corresponds to the user's current emotions.

[0151] Step 9:

[0152] The user chooses their next action in a new situation, and the scene or dialogue continues. This process is repeated, allowing the emotionally resonant narrative experience to progress.

[0153] Step 10:

[0154] As the story approaches its main conclusion, the server generates an appropriate ending that corresponds to the user's choices and emotions, and plays it as the finale.

[0155] Step 11:

[0156] The device plays the final scene, informing the user that the story has ended. After the ending, the user can try different choices to experience a different story.

[0157] (Example 2)

[0158] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0159] In modern entertainment, there is a growing need for systems that provide narrative experiences that dynamically change based on user behavior and emotions. However, existing systems struggle to analyze user emotions in detail and create personalized narrative progressions based on them. Therefore, there is a need for new interactive experiences that dynamically change the story according to the user's emotional state.

[0160] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0161] In this invention, the server includes information storage means for recording a pre-configured storyline, voice conversion means for acquiring user voice input and converting it into text data, and emotion analysis means for analyzing the user's facial expressions and acquiring emotion data. This enables the scenario generation means to dynamically generate the next development of the story based on the user's actions and emotions, and to provide the user with an immersive and interactive experience through visual and audio presentation means.

[0162] "Information storage means" refers to a device or system for storing storylines and related information that change based on user choices and actions.

[0163] A "voice conversion means" is a processing device that receives voice input from a user and converts it into text data.

[0164] "Emotional analysis methods" refer to technologies or systems that analyze a user's facial expressions and tone of voice to identify their emotional state.

[0165] A "scenario generation method" is a technology or process for dynamically generating the next development in a virtual environment based on the user's actions and emotions.

[0166] A "visual and auditory presentation means" is a device or system for effectively communicating the development of a generated story to the user through sight and hearing.

[0167] This invention is a system that dynamically provides an interactive narrative experience based on the user's emotional state and behavior. This system consists of several key hardware and software components.

[0168] The server handles central processing and manages a database containing pre-configured storylines. Equipped with a large-scale language model, the server analyzes user input data and performs calculations to generate the next development. In this process, it generates prompts based on user choices and emotional data, and constructs new scenes based on these prompts. These scenes are designed to create a personalized experience that responds to the user's emotions.

[0169] The device functions as an interface for receiving input from the user. Voice input is captured via a microphone and converted into text data using speech recognition software. Furthermore, the device is equipped with a camera that captures the user's facial expressions and performs emotion analysis. The results of this analysis are sent to a server in real time and used to advance the story.

[0170] Users can interactively participate in the story through their devices. The system continuously analyzes the user's choices and actions. For example, if the user displays a relaxed expression, the system will guide the story toward a calmer development.

[0171] As a concrete example, suppose that when a user interacts with a virtual character, the device detects the user's excited voice and positive emotions. This information is sent to the server, which generates a prompt stating, "If the user is showing positive emotions, the character will respond in a friendly manner and suggest the next option."

[0172] This framework enables immersive, interactive narrative experiences based on user emotions and choices.

[0173] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0174] Step 1:

[0175] The device acquires voice input from the user via a microphone. The voice data is then converted into text data by speech recognition software. This conversion process provides the user's speech in digital format.

[0176] Step 2:

[0177] The device uses a camera to capture the user's facial expressions in real time. Based on this, emotion analysis software analyzes the user's facial data to identify their emotional state. The output provides the type and intensity of the emotion the user is expressing.

[0178] Step 3:

[0179] The terminal combines the outputs from Step 1 and Step 2 into a data package for transmission to the server. This package contains text data and sentiment data.

[0180] Step 4:

[0181] The server receives data packages sent from the terminal. Here, it analyzes text and sentiment data using a large-scale language model to generate prompts based on user behavior. This generation process outputs the next narrative development scenario.

[0182] Step 5:

[0183] The server uses a scenario generation mechanism to construct the next scene based on prompts. Here, the story's development is determined, taking into account the user's emotional state. The completed scene data is output and ready to be sent to the terminal.

[0184] Step 6:

[0185] The device receives scene information transmitted from the server and presents it to the user through a display or VR device using visual and auditory presentation methods. This allows the user to experience a narrative based on emotions and choices.

[0186] (Application Example 2)

[0187] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0188] In traditional interactive storytelling experiences, the story progresses based on user choices, but the user's emotional responses are not reflected in the narrative's progression. This results in a uniform storytelling experience that lacks individual immersion, which is a significant challenge.

[0189] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0190] In this invention, the server includes information storage means for recording pre-configured storylines and scenarios, acquisition means for acquiring the user's voice and facial expressions using speech recognition and emotion analysis technologies and converting them into data, and generation means for analyzing the user's behavior and emotion data using a large-scale language model and dynamically generating the next development in the virtual environment. This enables individualized story development according to the user's emotional state, providing a more immersive interactive experience.

[0191] An "information storage device" is a device that stores and manages multiple storylines and scenario data for a virtual narrative experience in which a user participates.

[0192] The "acquisition method" refers to a device that captures the user's voice and facial expressions and converts them into data using speech recognition technology and emotion analysis technology.

[0193] A "generation method" is a device that uses a large-scale language model to analyze user behavior and emotional data, and based on this, dynamically generates the next narrative development in a virtual environment.

[0194] A "display means" is a device that presents the development of a generated story to the user visually and aurally, providing an interactive experience.

[0195] A "large-scale language model" is a type of artificial intelligence technology that uses natural language processing techniques to learn from large amounts of language data and generate and analyze text.

[0196] "Emotion analysis technology" is a technology that analyzes a user's facial expressions and voice tone to evaluate the user's current emotional state.

[0197] In order to implement this invention, the user, server, and terminal must work together to provide an interactive narrative experience.

[0198] First, users participate in a virtual story using devices such as smartphones or head-mounted displays. These devices are equipped with speech recognition and emotion analysis technologies, which can capture the user's voice input and facial expressions. This allows for accurate acquisition of the user's intentions and emotions, which are then sent to a server as data.

[0199] The server uses a large-scale language model to analyze user behavior and emotional data. Based on this analysis, it dynamically generates new narrative developments. Pre-stored storyline and scenario data are also utilized in the narrative generation process. During this generation process, the server selects the narrative development that best matches the user's emotions and sends it to the device.

[0200] The device presents the user with the unfolding of a new story transmitted from the server. Using the display and audio system, the user experiences the scenario visually and aurally. This presentation allows for deeper immersion, enabling the user to enjoy a personalized story that reflects their own choices and emotions.

[0201] For example, if a user is watching a mystery movie, the scenario might change the moment they show a surprised expression, making the story more suspenseful. This change involves sending a prompt message, "The user is showing a surprised expression. What suspenseful and unpredictable event would you like to add to the next scene of the story?" to the generating AI model, which then suggests the optimal development. In this way, a story experience that dynamically changes based on the user's emotions and choices is realized.

[0202] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0203] Step 1:

[0204] The user accesses the story through their device. The device activates its camera and microphone to capture the user's voice and facial expressions. The input data consists of the user's voice and video, which are used in subsequent processing.

[0205] Step 2:

[0206] The device converts the acquired audio into text data using speech recognition technology. This conversion process utilizes services such as Google Cloud Speech-to-Text to generate text from the audio signal.

[0207] Step 3:

[0208] The device analyzes the user's facial expressions from video data using emotion analysis technology. The analysis results output the user's emotions (e.g., surprise, relief). Emotion analysis software is used to identify emotions from the characteristics of facial expressions.

[0209] Step 4:

[0210] The terminal sends voice-text data and sentiment data to the server. The server receives this information and supplies it as input to a large-scale language model.

[0211] Step 5:

[0212] The server dynamically generates the next story development using a generative AI model based on the input data. It sends a prompt to the generative model such as, "The user is showing a surprised expression. What kind of suspenseful and unpredictable event would you add as the next scene in the story?" and selects an appropriate story scene.

[0213] Step 6:

[0214] The server sends the new development of the generated story to the terminal. This is output as visual and audio data for the user to see.

[0215] Step 7:

[0216] The device presents the unfolding story to the user through its display and audio. This allows the user to enjoy an interactive storytelling experience through both sight and sound.

[0217] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0218] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0219] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0220] [Second Embodiment]

[0221] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0222] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0223] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0224] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0225] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0226] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0227] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0228] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0229] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0230] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0231] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0232] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0233] This invention provides an interactive experience in which users participate in the story of a virtual movie, and the story dynamically changes according to the user's choices and actions. The following describes in detail the forms in which this system can be implemented.

[0234] First, the server records the basic storyline as the initial setting for the film, preparing the setting for the story to be presented to the user. It also refers to the user's profile and past choices, and links them to the progression of the story.

[0235] The device is equipped with interfaces such as a VR device, touchscreen, and voice recognition microphone to allow users to interact with the system. Voice recognition technology is used to capture voice input provided by the user and convert it into text data quickly and accurately.

[0236] When a user makes a choice or gives instructions within the story, the device receives them and sends them to the server. The server analyzes the user's input using a large-scale language model and generates the next developments and character reactions based on the user's choices. In this generation process, the generative AI enables diverse developments and makes flexible changes to the story while maintaining narrative consistency.

[0237] The generated new scenes and choices are presented to the user via the device, providing a visual and auditory experience. This allows the user to experience various roles and perspectives within the story and advance the narrative based on their own choices.

[0238] As a concrete example, in a crime drama, the user takes on the role of a detective conducting an investigation and can choose their next action based on the evidence provided. For instance, if the user chooses to "interrogate this person," the server will then generate a scenario for how the interrogation scene will unfold. As new evidence is discovered or the suspense deepens, the user becomes more engrossed in the story.

[0239] In this way, the system of the present invention aims to provide an immersive and dynamic cinematic experience in which the user actively participates in the story and determines the flow of the narrative through their own choices.

[0240] The following describes the processing flow.

[0241] Step 1:

[0242] The server loads the film's base storyline from a database and prepares the basic structure of the interactive narrative. At this stage, transitions and choices for each scene are also defined.

[0243] Step 2:

[0244] The terminal activates the user interface and prepares the voice recognition system. It also activates the VR device and necessary hardware, creating an environment where the user can start a movie at any time.

[0245] Step 3:

[0246] When the user enters instructions to start the story, the terminal receives the input and sends a session start request to the server.

[0247] Step 4:

[0248] The server creates a new session and sends the initial scene to the user's terminal. Data containing information about each character and environment is sent to the terminal.

[0249] Step 5:

[0250] The device renders the initial scene on a VR or visual display and presents it to the user. It simultaneously plays not only visual information but also audio information.

[0251] Step 6:

[0252] Users can give voice commands to control actions as the story progresses. For example, they can interact with characters or select their next destination.

[0253] Step 7:

[0254] The device converts the user's voice input into text in real time and sends that text to the server.

[0255] Step 8:

[0256] The server uses a large-scale language model to analyze user instructions and dynamically generates the next storyline and scene to proceed to. A new development is then determined.

[0257] Step 9:

[0258] The server sends the next generated scene data to the terminal. This data includes changes such as the appearance of new characters or the occurrence of events.

[0259] Step 10:

[0260] The device renders a new scene and presents it to the user again. Sound effects tailored to the scene are also played, enhancing the user's immersion.

[0261] Step 11:

[0262] As the story progresses, if the user's choices lead to a dramatic conclusion, the server generates the final ending and wraps up the storyline.

[0263] Step 12:

[0264] The device plays the ending scene, informing the user that the story has concluded. The user can also revisit the story and experience a new version with different choices.

[0265] (Example 1)

[0266] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0267] In modern entertainment, users desire deeper immersion in narratives and more subjective experiences. However, traditional movies and games remain in a format where users passively consume predetermined storylines, failing to adequately provide interactive experiences that dynamically change based on user choices. There is a need to solve this problem and provide systems that allow users to advance the narrative through their own choices and experience different endings.

[0268] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0269] In this invention, the server includes a storage device for recording the basis of a pre-configured story, an information processing device for customizing the story using the user's personal information and past selection history, and an acquisition device for converting the user's utterances into data using speech recognition technology. This makes it possible for the user to participate in a virtual story and be provided with an interactive experience that changes dynamically based on their choices.

[0270] A "storage device" is a device used to record and save data that forms the basis of a story in advance.

[0271] An "information processing device" is a device that utilizes a user's personal information and past selection history to prepare a customized story for each user.

[0272] An "acquisition device" is a device that uses speech recognition technology to accurately acquire voice input from a user and convert it into data.

[0273] A "generator" is a device that uses advanced language models to analyze user input and dynamically generate the next development in the story.

[0274] An "output device" is a device that provides the user with the development of the generated story in visual and auditory form, thereby realizing an immersive experience.

[0275] A "dialogue device" is a device that provides an interactive means to help users choose their next action based on the development of a generated story.

[0276] This invention provides a system that offers an interactive experience in which users participate in a virtual story and the story dynamically changes based on their choices. The following hardware and software are used in implementing this system.

[0277] The server records the storyline, which forms the basis of the narrative, in a storage device. This allows the system to provide a pre-configured story framework. The server also uses an information processing device to collect the user's personal information and past selection history, and prepares a personalized story for each user. At this stage, database technology is utilized to achieve efficient information management.

[0278] The device utilizes speech recognition technology to obtain input from the user. The device incorporates a speech recognition API that converts the user's voice input into text data. In this process, the voice input is processed quickly and accurately, and used as foundational data to understand the user's intent.

[0279] The user's choices are sent from the terminal to the server. The server uses a generator and a generative AI model to generate the next story development based on the user's choices. Specifically, it uses an advanced language model to generate prompt sentences, thereby flexibly constructing the story's progression. An example of a prompt sentence might be, "Think of a new development for questioning a suspect in a police interrogation scene."

[0280] The generated story is presented to the user by an output device built into the terminal. The terminal utilizes a graphics processing unit and sound system to provide a realistic and immersive visual and auditory experience. This allows the user to experience various scenarios while being immersed in the world of the story.

[0281] As described above, the system of the present invention provides a specific method for users to interactively participate in the story and dynamically determine the flow of the story by their own choices. This system aims to realize an innovative user experience that goes beyond the conventional entertainment experience.

[0282] The flow of the specific process in Example 1 will be described using FIG. 11.

[0283] Step 1:

[0284] The server records the story line that forms the basis of the story in the storage device. As input, there is the setting information of the story, and by storing this in the database, the basic structure of the scenario is prepared. As this output, basic data is obtained to enable dynamic development based on the user's selection.

[0285] Step 2:

[0286] The server collects the user's profile information and past selection history using the information processing device. As input, there is the user's past operation history and personal settings, and through database queries, these data are extracted and analyzed to lead to a story progression optimized for the user. As output, a customized story for each user is prepared.

[0287] Step 3:

[0288] The terminal uses voice recognition technology to obtain the voice input from the user and convert it into text data. As input, there is the user's speech. By using the voice recognition API, this voice is converted into character data and the necessary commands and intentions are extracted as text. As output, the text data used for analysis is generated.

[0289] Step 4:

[0290] The user's selections are sent from the terminal to the server. The input is the user's determined selection, which is transmitted to the server via the network. The output is input data used to determine the next step.

[0291] Step 5:

[0292] The server uses a generator and leverages a generative AI model to generate the next development in the story based on the user's choices. At this stage, the input consists of user selection data and a pre-configured storyline. Based on this data, prompts are generated, and a new scenario is constructed using an advanced language model. The output is the generated storyline.

[0293] Step 6:

[0294] The generated storyline is presented to the user by an output device built into the terminal. The input is the storyline sent from the server. Based on this information, visual and auditory content is generated and presented to the user. The output is an interactive environment where the user can choose their next action.

[0295] (Application Example 1)

[0296] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0297] Traditional film and storytelling experiences are inherently passive, with limited ways in which users can actively participate in the narrative. In particular, there was a need to provide interactive entertainment that enhances immersion through visuals and sound, while dynamically changing the story based on user choices.

[0298] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0299] In this invention, the server includes information recording means for storing a pre-set story progression, which is used to provide an interactive experience in which the user participates in a virtual story and the story in the virtual environment changes based on the user's actions; an input device for acquiring user input using speech recognition technology and converting it into text information; a generation device for dynamically creating the next development in the virtual environment using a large-scale language model for generating the next story development based on the user's action choices; a display device for providing the generated story development to the user as visual and audio information; and a virtual reality experience means for the user to enjoy an interactive experience using a VR device. This allows the user to change the story through their own choices, enabling a more immersive and dynamic story experience.

[0300] A "virtual story" is a fictional narrative that unfolds in a digital environment in which users can participate interactively.

[0301] "User actions" refer to the options that users choose or the instructions they give as the story progresses.

[0302] "Information recording means" refers to a database that stores the progress of a pre-set story and refers to it when presenting it to the user.

[0303] "Speech recognition technology" is a technology that converts voice input from users into text data in real time.

[0304] An "input device" is a device that receives voice input from a user and converts it into text information.

[0305] A "large-scale language model" is an artificial intelligence technology that analyzes user input and dynamically generates the next story development.

[0306] The "generation device" is a system component with means to dynamically create the next development based on the user's action selection.

[0307] The "display device" is a device for providing the user with the development of the generated story in the form of vision and sound.

[0308] The "virtual reality experience means" is a method and means for the user to enjoy an interactive experience using a VR device.

[0309] The system for realizing this invention is such that the user immerses themselves in a virtual story by wearing a VR device and experiences an interactive story through voice input. Hereinafter, the hardware, software, and data processing methods used will be described.

[0310] The system includes a VR device (e.g., a general-purpose head-mounted display) worn by the user. The user acts as a character in the story and gives instructions and makes selections through voice. This voice is converted into character data in real time using voice recognition software (e.g., Google Cloud Speech-to-Text) incorporated in a voice recognition device.

[0311] The server uses a large language model (e.g., OpenAI GPT) to analyze the user's voice input converted into character data and generate the next development of the scenario. In this process, a generative AI model is used to flexibly generate various story developments and unfold the story while maintaining consistency.

[0312] The development of the generated story is provided to the user by the server as video and sound. In this process, it is visually and acoustically transmitted to the user's VR device, and the user can continue to experience within the virtual story.

[0313] For example, if a user gives a voice command such as "Investigate this room" as part of a crime drama, the server analyzes the choice and generates a storyline in which new evidence is discovered. An example of a prompt used in this process is, "The user has chosen to explore the room in the crime drama. What clues will be found, and what choices will be presented to the user in the next step?" This allows the user to determine the next developments through their own choices within the story, resulting in a deeper sense of immersion.

[0314] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0315] Step 1:

[0316] The user participates in a virtual story using a VR headset and selects actions within the story. This step involves initial setup to allow the user to enter the VR space and begin the interaction.

[0317] Step 2:

[0318] The terminal receives the user's voice input and converts it into text data in real time using a speech recognition device. The input is the user's voice, and the output is text data. This conversion is carried out using speech recognition technology, and dedicated software performs this process.

[0319] Step 3:

[0320] The server receives text data sent from the terminal and analyzes it using a large-scale language model. This analysis generates the next story development based on the user's choices. The input is text data, and the output is data for the next story development. The server uses a generative AI model to generate a story based, for example, on a prompt sentence such as "The user chose to explore a room in a crime drama. As the next development, what clues will be found, and what choices will be presented to the user?"

[0321] Step 4:

[0322] The device receives story data from the server and presents it to the user in the form of visuals and audio. The input is story data, and the output is visual and audio information. The device then conveys newly generated scenes to the user through the VR device. The user can advance the story through these new developments.

[0323] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0324] This invention provides a system that offers an interactive experience in which users participate in a virtual story, and the story dynamically changes based on their actions and emotions. The following describes specific forms for implementing this system.

[0325] This system first records pre-configured storylines on the server, providing a foundation for how the story unfolds based on user actions. Multiple scenarios and endings are stored in a database, ready to dynamically advance the story in response to user interaction.

[0326] The device provides an interface for receiving input from the user. It converts the user's voice input into text data using speech recognition technology, and is also equipped with a camera and microphone to acquire emotional data from the user's facial expressions and tone of voice. The emotional recognition means analyzes the user's current emotional state, and this information is sent to the server as feedback.

[0327] The server uses a large-scale language model that analyzes user behavior-based instructions and a generation method that leverages acquired sentiment data. Based on this information, it generates the next development in the story, providing an experience that resonates with the user's emotions. This process enables a more personalized narrative progression.

[0328] The device renders newly generated scenes and narrative developments onto the VR or display. It presents the scenario to the user visually and audibly, providing emotionally responsive interactions. This allows the user to experience a dynamic narrative that reflects their own emotions and choices.

[0329] As a concrete example, the system analyzes signs of stress and excitement that the user displays during dialogue scenes with characters, and the server adjusts the character's reactions and subsequent choices accordingly. For instance, if the user shows a relaxed expression, the story can proceed in a more relaxed manner.

[0330] In this way, the system of the present invention aims to realize a more immersive and interactive movie experience in which the story progresses based on both the user's choices and emotions.

[0331] The following describes the processing flow.

[0332] Step 1:

[0333] The server loads existing storylines and scenarios from the database and associates them with the user's profile information, preparing to launch an interactive narrative.

[0334] Step 2:

[0335] The device activates the user interface, initializes the voice recognition system and emotion recognition functions (camera and microphone), and prepares for user input.

[0336] Step 3:

[0337] To begin the story, the user inputs voice commands into the device. At this time, the device also collects the user's facial expression data via its camera.

[0338] Step 4:

[0339] The device converts the user's voice into text data and simultaneously analyzes emotional data from facial expressions and voice tone. This information is then sent to the server.

[0340] Step 5:

[0341] The server receives textualized instructions and sentiment data, which are then analyzed using a large-scale language model. Based on the user's intentions and emotional state, it generates the next steps in the scenario and the character's response.

[0342] Step 6:

[0343] The server generates scenarios that reflect the emotion recognition results and determines the story development that is appropriate for the user. This process is supported by generative AI.

[0344] Step 7:

[0345] The server sends the newly generated scene data to the terminal. This data includes character dialogue and events tailored to the user's emotions.

[0346] Step 8:

[0347] The device renders a new scene and provides the user with visual and audio content. The scene corresponds to the user's current emotions.

[0348] Step 9:

[0349] The user chooses their next action in a new situation, and the scene or dialogue continues. This process is repeated, allowing the emotionally resonant narrative experience to progress.

[0350] Step 10:

[0351] As the story approaches its main conclusion, the server generates an appropriate ending that corresponds to the user's choices and emotions, and plays it as the finale.

[0352] Step 11:

[0353] The device plays the final scene, informing the user that the story has ended. After the ending, the user can try different choices to experience a different story.

[0354] (Example 2)

[0355] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0356] In modern entertainment, there is a growing need for systems that provide narrative experiences that dynamically change based on user behavior and emotions. However, existing systems struggle to analyze user emotions in detail and create personalized narrative progressions based on them. Therefore, there is a need for new interactive experiences that dynamically change the story according to the user's emotional state.

[0357] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0358] In this invention, the server includes information storage means for recording a pre-configured storyline, voice conversion means for acquiring user voice input and converting it into text data, and emotion analysis means for analyzing the user's facial expressions and acquiring emotion data. This enables the scenario generation means to dynamically generate the next development of the story based on the user's actions and emotions, and to provide the user with an immersive and interactive experience through visual and audio presentation means.

[0359] "Information storage means" refers to a device or system for storing storylines and related information that change based on user choices and actions.

[0360] A "voice conversion means" is a processing device that receives voice input from a user and converts it into text data.

[0361] "Emotional analysis methods" refer to technologies or systems that analyze a user's facial expressions and tone of voice to identify their emotional state.

[0362] A "scenario generation method" is a technology or process for dynamically generating the next development in a virtual environment based on the user's actions and emotions.

[0363] A "visual and auditory presentation means" is a device or system for effectively communicating the development of a generated story to the user through sight and hearing.

[0364] This invention is a system that dynamically provides an interactive narrative experience based on the user's emotional state and behavior. This system consists of several key hardware and software components.

[0365] The server handles central processing and manages a database containing pre-configured storylines. Equipped with a large-scale language model, the server analyzes user input data and performs calculations to generate the next development. In this process, it generates prompts based on user choices and emotional data, and constructs new scenes based on these prompts. These scenes are designed to create a personalized experience that responds to the user's emotions.

[0366] The device functions as an interface for receiving input from the user. Voice input is captured via a microphone and converted into text data using speech recognition software. Furthermore, the device is equipped with a camera that captures the user's facial expressions and performs emotion analysis. The results of this analysis are sent to a server in real time and used to advance the story.

[0367] Users can interactively participate in the story through their devices. The system continuously analyzes the user's choices and actions. For example, if the user displays a relaxed expression, the system will guide the story toward a calmer development.

[0368] As a concrete example, suppose that when a user interacts with a virtual character, the device detects the user's excited voice and positive emotions. This information is sent to the server, which generates a prompt stating, "If the user is showing positive emotions, the character will respond in a friendly manner and suggest the next option."

[0369] This framework enables immersive, interactive narrative experiences based on user emotions and choices.

[0370] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0371] Step 1:

[0372] The device acquires voice input from the user via a microphone. The voice data is then converted into text data by speech recognition software. This conversion process provides the user's speech in digital format.

[0373] Step 2:

[0374] The device uses a camera to capture the user's facial expressions in real time. Based on this, emotion analysis software analyzes the user's facial data to identify their emotional state. The output provides the type and intensity of the emotion the user is expressing.

[0375] Step 3:

[0376] The terminal combines the outputs from Step 1 and Step 2 into a data package for transmission to the server. This package contains text data and sentiment data.

[0377] Step 4:

[0378] The server receives data packages sent from the terminal. Here, it analyzes text and sentiment data using a large-scale language model to generate prompts based on user behavior. This generation process outputs the next narrative development scenario.

[0379] Step 5:

[0380] The server uses a scenario generation mechanism to construct the next scene based on prompts. Here, the story's development is determined, taking into account the user's emotional state. The completed scene data is output and ready to be sent to the terminal.

[0381] Step 6:

[0382] The device receives scene information transmitted from the server and presents it to the user through a display or VR device using visual and auditory presentation methods. This allows the user to experience a narrative based on emotions and choices.

[0383] (Application Example 2)

[0384] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0385] In traditional interactive storytelling experiences, the story progresses based on user choices, but the user's emotional responses are not reflected in the narrative's progression. This results in a uniform storytelling experience that lacks individual immersion, which is a significant challenge.

[0386] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0387] In this invention, the server includes information storage means for recording pre-configured storylines and scenarios, acquisition means for acquiring the user's voice and facial expressions using speech recognition and emotion analysis technologies and converting them into data, and generation means for analyzing the user's behavior and emotion data using a large-scale language model and dynamically generating the next development in the virtual environment. This enables individualized story development according to the user's emotional state, providing a more immersive interactive experience.

[0388] An "information storage device" is a device that stores and manages multiple storylines and scenario data for a virtual narrative experience in which a user participates.

[0389] The "acquisition method" refers to a device that captures the user's voice and facial expressions and converts them into data using speech recognition technology and emotion analysis technology.

[0390] A "generation method" is a device that uses a large-scale language model to analyze user behavior and emotional data, and based on this, dynamically generates the next narrative development in a virtual environment.

[0391] A "display means" is a device that presents the development of a generated story to the user visually and aurally, providing an interactive experience.

[0392] A "large-scale language model" is a type of artificial intelligence technology that uses natural language processing techniques to learn from large amounts of language data and generate and analyze text.

[0393] "Emotion analysis technology" is a technology that analyzes a user's facial expressions and voice tone to evaluate the user's current emotional state.

[0394] In order to implement this invention, the user, server, and terminal must work together to provide an interactive narrative experience.

[0395] First, users participate in a virtual story using devices such as smartphones or head-mounted displays. These devices are equipped with speech recognition and emotion analysis technologies, which can capture the user's voice input and facial expressions. This allows for accurate acquisition of the user's intentions and emotions, which are then sent to a server as data.

[0396] The server uses a large-scale language model to analyze user behavior and emotional data. Based on this analysis, it dynamically generates new narrative developments. Pre-stored storyline and scenario data are also utilized in the narrative generation process. During this generation process, the server selects the narrative development that best matches the user's emotions and sends it to the device.

[0397] The device presents the user with the unfolding of a new story transmitted from the server. Using the display and audio system, the user experiences the scenario visually and aurally. This presentation allows for deeper immersion, enabling the user to enjoy a personalized story that reflects their own choices and emotions.

[0398] For example, if a user is watching a mystery movie, the scenario might change the moment they show a surprised expression, making the story more suspenseful. This change involves sending a prompt message, "The user is showing a surprised expression. What suspenseful and unpredictable event would you like to add to the next scene of the story?" to the generating AI model, which then suggests the optimal development. In this way, a story experience that dynamically changes based on the user's emotions and choices is realized.

[0399] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0400] Step 1:

[0401] The user accesses the story through their device. The device activates its camera and microphone to capture the user's voice and facial expressions. The input data consists of the user's voice and video, which are used in subsequent processing.

[0402] Step 2:

[0403] The device converts the acquired audio into text data using speech recognition technology. This conversion process utilizes services such as Google Cloud Speech-to-Text to generate text from the audio signal.

[0404] Step 3:

[0405] The device analyzes the user's facial expressions from video data using emotion analysis technology. The analysis results output the user's emotions (e.g., surprise, relief). Emotion analysis software is used to identify emotions from the characteristics of facial expressions.

[0406] Step 4:

[0407] The terminal sends voice-text data and sentiment data to the server. The server receives this information and supplies it as input to a large-scale language model.

[0408] Step 5:

[0409] The server dynamically generates the next story development using a generative AI model based on the input data. It sends a prompt to the generative model such as, "The user is showing a surprised expression. What kind of suspenseful and unpredictable event would you add as the next scene in the story?" and selects an appropriate story scene.

[0410] Step 6:

[0411] The server sends the new development of the generated story to the terminal. This is output as visual and audio data for the user to see.

[0412] Step 7:

[0413] The device presents the unfolding story to the user through its display and audio. This allows the user to enjoy an interactive storytelling experience through both sight and sound.

[0414] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0415] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0416] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0417] [Third Embodiment]

[0418] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0419] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0420] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0421] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0422] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0423] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0424] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0425] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0426] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0427] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0428] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0429] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0430] This invention provides an interactive experience in which users participate in the story of a virtual movie, and the story dynamically changes according to the user's choices and actions. The following describes in detail the forms in which this system can be implemented.

[0431] First, the server records the basic storyline as the initial setting for the film, preparing the setting for the story to be presented to the user. It also refers to the user's profile and past choices, and links them to the progression of the story.

[0432] The device is equipped with interfaces such as a VR device, touchscreen, and voice recognition microphone to allow users to interact with the system. Voice recognition technology is used to capture voice input provided by the user and convert it into text data quickly and accurately.

[0433] When a user makes a choice or gives instructions within the story, the device receives them and sends them to the server. The server analyzes the user's input using a large-scale language model and generates the next developments and character reactions based on the user's choices. In this generation process, the generative AI enables diverse developments and makes flexible changes to the story while maintaining narrative consistency.

[0434] The generated new scenes and choices are presented to the user via the device, providing a visual and auditory experience. This allows the user to experience various roles and perspectives within the story and advance the narrative based on their own choices.

[0435] As a concrete example, in a crime drama, the user takes on the role of a detective conducting an investigation and can choose their next action based on the evidence provided. For instance, if the user chooses to "interrogate this person," the server will then generate a scenario for how the interrogation scene will unfold. As new evidence is discovered or the suspense deepens, the user becomes more engrossed in the story.

[0436] In this way, the system of the present invention aims to provide an immersive and dynamic cinematic experience in which the user actively participates in the story and determines the flow of the narrative through their own choices.

[0437] The following describes the processing flow.

[0438] Step 1:

[0439] The server loads the film's base storyline from a database and prepares the basic structure of the interactive narrative. At this stage, transitions and choices for each scene are also defined.

[0440] Step 2:

[0441] The terminal activates the user interface and prepares the voice recognition system. It also activates the VR device and necessary hardware, creating an environment where the user can start a movie at any time.

[0442] Step 3:

[0443] When the user enters instructions to start the story, the terminal receives the input and sends a session start request to the server.

[0444] Step 4:

[0445] The server creates a new session and sends the initial scene to the user's terminal. Data containing information about each character and environment is sent to the terminal.

[0446] Step 5:

[0447] The device renders the initial scene on a VR or visual display and presents it to the user. It simultaneously plays not only visual information but also audio information.

[0448] Step 6:

[0449] Users can give voice commands to control actions as the story progresses. For example, they can interact with characters or select their next destination.

[0450] Step 7:

[0451] The device converts the user's voice input into text in real time and sends that text to the server.

[0452] Step 8:

[0453] The server uses a large-scale language model to analyze user instructions and dynamically generates the next storyline and scene to proceed to. A new development is then determined.

[0454] Step 9:

[0455] The server sends the next generated scene data to the terminal. This data includes changes such as the appearance of new characters or the occurrence of events.

[0456] Step 10:

[0457] The device renders a new scene and presents it to the user again. Sound effects tailored to the scene are also played, enhancing the user's immersion.

[0458] Step 11:

[0459] As the story progresses, if the user's choices lead to a dramatic conclusion, the server generates the final ending and wraps up the storyline.

[0460] Step 12:

[0461] The device plays the ending scene, informing the user that the story has concluded. The user can also revisit the story and experience a new version with different choices.

[0462] (Example 1)

[0463] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0464] In modern entertainment, users desire deeper immersion in narratives and more subjective experiences. However, traditional movies and games remain in a format where users passively consume predetermined storylines, failing to adequately provide interactive experiences that dynamically change based on user choices. There is a need to solve this problem and provide systems that allow users to advance the narrative through their own choices and experience different endings.

[0465] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0466] In this invention, the server includes a storage device for recording the basis of a pre-configured story, an information processing device for customizing the story using the user's personal information and past selection history, and an acquisition device for converting the user's utterances into data using speech recognition technology. This makes it possible for the user to participate in a virtual story and be provided with an interactive experience that changes dynamically based on their choices.

[0467] A "storage device" is a device used to record and save data that forms the basis of a story in advance.

[0468] An "information processing device" is a device that utilizes a user's personal information and past selection history to prepare a customized story for each user.

[0469] An "acquisition device" is a device that uses speech recognition technology to accurately acquire voice input from a user and convert it into data.

[0470] A "generator" is a device that uses advanced language models to analyze user input and dynamically generate the next development in the story.

[0471] An "output device" is a device that provides the user with the development of the generated story in visual and auditory form, thereby realizing an immersive experience.

[0472] A "dialogue device" is a device that provides an interactive means to help users choose their next action based on the development of a generated story.

[0473] This invention provides a system that offers an interactive experience in which users participate in a virtual story and the story dynamically changes based on their choices. The following hardware and software are used in implementing this system.

[0474] The server records the storyline, which forms the basis of the narrative, in a storage device. This allows the system to provide a pre-configured story framework. The server also uses an information processing device to collect the user's personal information and past selection history, and prepares a personalized story for each user. At this stage, database technology is utilized to achieve efficient information management.

[0475] The device utilizes speech recognition technology to obtain input from the user. The device incorporates a speech recognition API that converts the user's voice input into text data. In this process, the voice input is processed quickly and accurately, and used as foundational data to understand the user's intent.

[0476] The user's choices are sent from the terminal to the server. The server uses a generator and a generative AI model to generate the next story development based on the user's choices. Specifically, it uses an advanced language model to generate prompt sentences, thereby flexibly constructing the story's progression. An example of a prompt sentence might be, "Think of a new development for questioning a suspect in a police interrogation scene."

[0477] The generated story is presented to the user by an output device built into the terminal. The terminal utilizes a graphics processing unit and sound system to provide a realistic and immersive visual and auditory experience. This allows the user to experience various scenarios while being immersed in the world of the story.

[0478] Based on the above, the present invention provides a concrete method for users to interactively participate in a story and dynamically determine the flow of the story through their own choices. This system aims to realize an innovative user experience that surpasses conventional entertainment experiences.

[0479] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0480] Step 1:

[0481] The server records the storyline, which forms the basis of the narrative, into a storage device. The input is the narrative's setting information, which is saved in the database, thus preparing the basic structure of the scenario. The output of this process provides the foundational data necessary to enable dynamic development based on user choices.

[0482] Step 2:

[0483] The server collects user profile information and past selection history using an information processing device. Input includes the user's past operation history and personal settings. This data is extracted and analyzed through database queries to create a story progression optimized for the user. The output is a customized story tailored to each user.

[0484] Step 3:

[0485] The device uses speech recognition technology to acquire voice input from the user and convert it into text data. The input is the user's speech. Using a speech recognition API, this speech is converted into text data, and necessary commands and intentions are extracted as text. The output is text data used for analysis.

[0486] Step 4:

[0487] The user's selections are sent from the terminal to the server. The input is the user's determined selection, which is transmitted to the server via the network. The output is input data used to determine the next step.

[0488] Step 5:

[0489] The server uses a generator and leverages a generative AI model to generate the next development in the story based on the user's choices. At this stage, the input consists of user selection data and a pre-configured storyline. Based on this data, prompts are generated, and a new scenario is constructed using an advanced language model. The output is the generated storyline.

[0490] Step 6:

[0491] The generated storyline is presented to the user by an output device built into the terminal. The input is the storyline sent from the server. Based on this information, visual and auditory content is generated and presented to the user. The output is an interactive environment where the user can choose their next action.

[0492] (Application Example 1)

[0493] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0494] Traditional film and storytelling experiences are inherently passive, with limited ways in which users can actively participate in the narrative. In particular, there was a need to provide interactive entertainment that enhances immersion through visuals and sound, while dynamically changing the story based on user choices.

[0495] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0496] In this invention, the server includes information recording means for storing a pre-set story progression, which is used to provide an interactive experience in which the user participates in a virtual story and the story in the virtual environment changes based on the user's actions; an input device for acquiring user input using speech recognition technology and converting it into text information; a generation device for dynamically creating the next development in the virtual environment using a large-scale language model for generating the next story development based on the user's action choices; a display device for providing the generated story development to the user as visual and audio information; and a virtual reality experience means for the user to enjoy an interactive experience using a VR device. This allows the user to change the story through their own choices, enabling a more immersive and dynamic story experience.

[0497] A "virtual story" is a fictional narrative that unfolds in a digital environment in which users can participate interactively.

[0498] "User actions" refer to the options that users choose or the instructions they give as the story progresses.

[0499] "Information recording means" refers to a database that stores the progress of a pre-set story and refers to it when presenting it to the user.

[0500] "Speech recognition technology" is a technology that converts voice input from users into text data in real time.

[0501] An "input device" is a device that receives voice input from a user and converts it into text information.

[0502] A "large-scale language model" is an artificial intelligence technology that analyzes user input and dynamically generates the next story development.

[0503] A "generation device" is a system component that has the means to dynamically create the next development based on the user's action choices.

[0504] A "display device" is a device that provides the user with the development of a generated story in visual and auditory forms.

[0505] "Virtual reality experience means" refers to methods and means that enable users to enjoy interactive experiences using VR devices.

[0506] The system for realizing this invention allows users to immerse themselves in a virtual story by wearing a VR device and experience an interactive story through voice input. The hardware, software, and data processing methods used are described below.

[0507] The system includes a VR device worn by the user (e.g., a general-purpose head-mounted display). The user acts as a character in the story, giving instructions and making choices through voice. This voice is converted into text data in real time using speech recognition software (e.g., Google Cloud Speech-to-Text) embedded in a speech recognition device.

[0508] The server uses a large-scale language model (e.g., OpenAI GPT) to analyze the user's transcribed speech input and generate the next development in the scenario. In this process, a generative AI model is used to flexibly generate diverse story developments while maintaining consistency in the narrative.

[0509] The generated storyline is delivered to the user as video and audio by the server. This process is then transmitted visually and audibly to the user's VR device, allowing them to continue their experience within the virtual narrative.

[0510] For example, if a user gives a voice command such as "Investigate this room" as part of a crime drama, the server analyzes the choice and generates a storyline in which new evidence is discovered. An example of a prompt used in this process is, "The user has chosen to explore the room in the crime drama. What clues will be found, and what choices will be presented to the user in the next step?" This allows the user to determine the next developments through their own choices within the story, resulting in a deeper sense of immersion.

[0511] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0512] Step 1:

[0513] The user participates in a virtual story using a VR headset and selects actions within the narrative. This step involves initial setup to allow the user to enter the VR space and begin the interaction.

[0514] Step 2:

[0515] The terminal receives the user's voice input and converts it into text data in real time using a speech recognition device. The input is the user's voice, and the output is text data. This conversion is carried out using speech recognition technology, and dedicated software performs this process.

[0516] Step 3:

[0517] The server receives text data sent from the terminal and analyzes it using a large-scale language model. This analysis generates the next story development based on the user's choices. The input is text data, and the output is data for the next story development. The server uses a generative AI model to generate a story based, for example, on a prompt sentence such as "The user chose to explore a room in a crime drama. As the next development, what clues will be found, and what choices will be presented to the user?"

[0518] Step 4:

[0519] The device receives story data from the server and presents it to the user in the form of visuals and audio. The input is story data, and the output is visual and audio information. The device then conveys newly generated scenes to the user through the VR device. The user can advance the story through these new developments.

[0520] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0521] This invention provides a system that offers an interactive experience in which users participate in a virtual story, and the story dynamically changes based on their actions and emotions. The following describes specific forms for implementing this system.

[0522] This system first records pre-configured storylines on the server, providing a foundation for how the story unfolds based on user actions. Multiple scenarios and endings are stored in a database, ready to dynamically advance the story in response to user interaction.

[0523] The device provides an interface for receiving input from the user. It converts the user's voice input into text data using speech recognition technology, and is also equipped with a camera and microphone to acquire emotional data from the user's facial expressions and tone of voice. The emotional recognition means analyzes the user's current emotional state, and this information is sent to the server as feedback.

[0524] The server uses a large-scale language model that analyzes user behavior-based instructions and a generation method that leverages acquired sentiment data. Based on this information, it generates the next development in the story, providing an experience that resonates with the user's emotions. This process enables a more personalized narrative progression.

[0525] The device renders newly generated scenes and narrative developments onto the VR or display. It presents the scenario to the user visually and audibly, providing emotionally responsive interactions. This allows the user to experience a dynamic narrative that reflects their own emotions and choices.

[0526] As a concrete example, the system analyzes signs of stress and excitement that the user displays during dialogue scenes with characters, and the server adjusts the character's reactions and subsequent choices accordingly. For instance, if the user shows a relaxed expression, the story can proceed in a more relaxed manner.

[0527] In this way, the system of the present invention aims to realize a more immersive and interactive movie experience in which the story progresses based on both the user's choices and emotions.

[0528] The following describes the processing flow.

[0529] Step 1:

[0530] The server loads existing storylines and scenarios from the database and associates them with the user's profile information, preparing to launch an interactive narrative.

[0531] Step 2:

[0532] The device activates the user interface, initializes the voice recognition system and emotion recognition functions (camera and microphone), and prepares for user input.

[0533] Step 3:

[0534] To begin the story, the user inputs voice commands into the device. At this time, the device also collects the user's facial expression data via its camera.

[0535] Step 4:

[0536] The device converts the user's voice into text data and simultaneously analyzes emotional data from facial expressions and voice tone. This information is then sent to the server.

[0537] Step 5:

[0538] The server receives textualized instructions and sentiment data, which are then analyzed using a large-scale language model. Based on the user's intentions and emotional state, it generates the next steps in the scenario and the character's response.

[0539] Step 6:

[0540] The server generates scenarios that reflect the emotion recognition results and determines the story development that is appropriate for the user. This process is supported by generative AI.

[0541] Step 7:

[0542] The server sends the newly generated scene data to the terminal. This data includes character dialogue and events tailored to the user's emotions.

[0543] Step 8:

[0544] The device renders a new scene and provides the user with visual and audio content. The scene corresponds to the user's current emotions.

[0545] Step 9:

[0546] The user chooses their next action in a new situation, and the scene or dialogue continues. This process is repeated, allowing the emotionally resonant narrative experience to progress.

[0547] Step 10:

[0548] As the story approaches its main conclusion, the server generates an appropriate ending that corresponds to the user's choices and emotions, and plays it back as the finale.

[0549] Step 11:

[0550] The device plays the final scene, informing the user that the story has ended. After the ending, the user can try different choices to experience a different story.

[0551] (Example 2)

[0552] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0553] In modern entertainment, there is a growing need for systems that provide narrative experiences that dynamically change based on user behavior and emotions. However, existing systems struggle to analyze user emotions in detail and create personalized narrative progressions based on them. Therefore, there is a need for new interactive experiences that dynamically change the story according to the user's emotional state.

[0554] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0555] In this invention, the server includes information storage means for recording a pre-configured storyline, voice conversion means for acquiring user voice input and converting it into text data, and emotion analysis means for analyzing the user's facial expressions and acquiring emotion data. This enables the scenario generation means to dynamically generate the next development of the story based on the user's actions and emotions, and to provide the user with an immersive and interactive experience through visual and audio presentation means.

[0556] "Information storage means" refers to a device or system for storing storylines and related information that change based on user choices and actions.

[0557] A "voice conversion means" is a processing device that receives voice input from a user and converts it into text data.

[0558] "Emotional analysis methods" refer to technologies or systems that analyze a user's facial expressions and tone of voice to identify their emotional state.

[0559] A "scenario generation method" is a technology or process for dynamically generating the next development in a virtual environment based on the user's actions and emotions.

[0560] A "visual and auditory presentation means" is a device or system for effectively communicating the development of a generated story to the user through sight and hearing.

[0561] This invention is a system that dynamically provides an interactive narrative experience based on the user's emotional state and behavior. This system consists of several key hardware and software components.

[0562] The server handles central processing and manages a database containing pre-configured storylines. Equipped with a large-scale language model, the server analyzes user input data and performs calculations to generate the next development. In this process, it generates prompts based on user choices and emotional data, and constructs new scenes based on these prompts. These scenes are designed to create a personalized experience that responds to the user's emotions.

[0563] The device functions as an interface for receiving input from the user. Voice input is captured via a microphone and converted into text data using speech recognition software. Furthermore, the device is equipped with a camera that captures the user's facial expressions and performs emotion analysis. The results of this analysis are sent to a server in real time and used to advance the story.

[0564] Users can interactively participate in the story through their devices. The system continuously analyzes the user's choices and actions. For example, if the user displays a relaxed expression, the system will guide the story toward a calmer development.

[0565] As a concrete example, suppose that when a user interacts with a virtual character, the device detects the user's excited voice and positive emotions. This information is sent to the server, which generates a prompt stating, "If the user is showing positive emotions, the character will respond in a friendly manner and suggest the next option."

[0566] This framework enables immersive, interactive narrative experiences based on user emotions and choices.

[0567] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0568] Step 1:

[0569] The device acquires voice input from the user via a microphone. The voice data is then converted into text data by speech recognition software. This conversion process provides the user's speech in digital format.

[0570] Step 2:

[0571] The device uses a camera to capture the user's facial expressions in real time. Based on this, emotion analysis software analyzes the user's facial data to identify their emotional state. The output provides the type and intensity of the emotion the user is expressing.

[0572] Step 3:

[0573] The terminal combines the outputs from Step 1 and Step 2 into a data package for transmission to the server. This package contains text data and sentiment data.

[0574] Step 4:

[0575] The server receives data packages sent from the terminal. Here, it analyzes text and sentiment data using a large-scale language model to generate prompts based on user behavior. This generation process outputs the next narrative development scenario.

[0576] Step 5:

[0577] The server uses a scenario generation mechanism to construct the next scene based on prompts. Here, the story's development is determined, taking into account the user's emotional state. The completed scene data is output and ready to be sent to the terminal.

[0578] Step 6:

[0579] The device receives scene information transmitted from the server and presents it to the user through a display or VR device using visual and auditory presentation methods. This allows the user to experience a narrative based on emotions and choices.

[0580] (Application Example 2)

[0581] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0582] In traditional interactive storytelling experiences, the story progresses based on user choices, but the user's emotional responses are not reflected in the narrative's progression. This results in a uniform storytelling experience that lacks individual immersion, which is a significant challenge.

[0583] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0584] In this invention, the server includes information storage means for recording pre-configured storylines and scenarios, acquisition means for acquiring the user's voice and facial expressions using speech recognition and emotion analysis technologies and converting them into data, and generation means for analyzing the user's behavior and emotion data using a large-scale language model and dynamically generating the next development in the virtual environment. This enables individualized story development according to the user's emotional state, providing a more immersive interactive experience.

[0585] An "information storage device" is a device that stores and manages multiple storylines and scenario data for a virtual narrative experience in which a user participates.

[0586] "Acquisition means" refers to a device that captures the user's voice and facial expressions and converts them into data using speech recognition technology and emotion analysis technology.

[0587] A "generation method" is a device that uses a large-scale language model to analyze user behavior and emotional data, and based on this, dynamically generates the next narrative development in a virtual environment.

[0588] A "display means" is a device that presents the development of a generated story to the user visually and aurally, providing an interactive experience.

[0589] A "large-scale language model" is a type of artificial intelligence technology that uses natural language processing techniques to learn from large amounts of language data and generate and analyze text.

[0590] "Emotion analysis technology" is a technology that analyzes a user's facial expressions and voice tone to evaluate the user's current emotional state.

[0591] In order to implement this invention, the user, server, and terminal must work together to provide an interactive narrative experience.

[0592] First, users participate in a virtual story using devices such as smartphones or head-mounted displays. These devices are equipped with speech recognition and emotion analysis technologies, which can capture the user's voice input and facial expressions. This allows for accurate acquisition of the user's intentions and emotions, which are then sent to a server as data.

[0593] The server uses a large-scale language model to analyze user behavior and emotional data. Based on this analysis, it dynamically generates new narrative developments. Pre-stored storyline and scenario data are also utilized in the narrative generation process. During this generation process, the server selects the narrative development that best matches the user's emotions and sends it to the device.

[0594] The device presents the user with the unfolding of a new story transmitted from the server. Using the display and audio system, the user experiences the scenario visually and aurally. This presentation allows for deeper immersion, enabling the user to enjoy a personalized story that reflects their own choices and emotions.

[0595] For example, if a user is watching a mystery movie, the scenario might change the moment they show a surprised expression, making the story more suspenseful. This change involves sending a prompt message, "The user is showing a surprised expression. What suspenseful and unpredictable event would you like to add to the next scene of the story?" to the generating AI model, which then suggests the optimal development. In this way, a story experience that dynamically changes based on the user's emotions and choices is realized.

[0596] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0597] Step 1:

[0598] The user accesses the story through their device. The device activates its camera and microphone to capture the user's voice and facial expressions. The input data consists of the user's voice and video, which are used in subsequent processing.

[0599] Step 2:

[0600] The device converts the acquired audio into text data using speech recognition technology. This conversion process utilizes services such as Google Cloud Speech-to-Text to generate text from the audio signal.

[0601] Step 3:

[0602] The device analyzes the user's facial expressions from video data using emotion analysis technology. The analysis results output the user's emotions (e.g., surprise, relief). Emotion analysis software is used to identify emotions from the characteristics of facial expressions.

[0603] Step 4:

[0604] The terminal sends voice-text data and sentiment data to the server. The server receives this information and supplies it as input to a large-scale language model.

[0605] Step 5:

[0606] The server dynamically generates the next story development using a generative AI model based on the input data. It sends a prompt to the generative model such as, "The user is showing a surprised expression. What kind of suspenseful and unpredictable event would you add as the next scene in the story?" and selects an appropriate story scene.

[0607] Step 6:

[0608] The server sends the new development of the generated story to the terminal. This is output as visual and audio data for the user to see.

[0609] Step 7:

[0610] The device presents the unfolding story to the user through its display and audio. This allows the user to enjoy an interactive narrative experience through both sight and sound.

[0611] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0612] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0613] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0614] [Fourth Embodiment]

[0615] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0616] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0617] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0618] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0619] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0620] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0621] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0622] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0623] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0624] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0625] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0626] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0627] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0628] This invention provides an interactive experience in which users participate in the story of a virtual movie, and the story dynamically changes according to the user's choices and actions. The following describes in detail the forms in which this system can be implemented.

[0629] First, the server records the basic storyline as the initial setting for the film, preparing the setting for the story to be presented to the user. It also refers to the user's profile and past choices, and links them to the progression of the story.

[0630] The device is equipped with interfaces such as a VR device, touchscreen, and voice recognition microphone to allow users to interact with the system. Voice recognition technology is used to capture voice input provided by the user and convert it into text data quickly and accurately.

[0631] When a user makes a choice or gives instructions within the story, the device receives them and sends them to the server. The server analyzes the user's input using a large-scale language model and generates the next developments and character reactions based on the user's choices. In this generation process, the generative AI enables diverse developments and makes flexible changes to the story while maintaining narrative consistency.

[0632] The generated new scenes and choices are presented to the user via the device, providing a visual and auditory experience. This allows the user to experience various roles and perspectives within the story and advance the narrative based on their own choices.

[0633] As a concrete example, in a crime drama, the user takes on the role of a detective conducting an investigation and can choose their next action based on the evidence provided. For instance, if the user chooses to "interrogate this person," the server will then generate a scenario for how the interrogation scene will unfold. As new evidence is discovered or the suspense deepens, the user becomes more engrossed in the story.

[0634] In this way, the system of the present invention aims to provide an immersive and dynamic cinematic experience in which the user actively participates in the story and determines the flow of the narrative through their own choices.

[0635] The following describes the processing flow.

[0636] Step 1:

[0637] The server loads the film's base storyline from a database and prepares the basic structure of the interactive narrative. At this stage, transitions and choices for each scene are also defined.

[0638] Step 2:

[0639] The terminal activates the user interface and prepares the voice recognition system. It also activates the VR device and necessary hardware, creating an environment where the user can start a movie at any time.

[0640] Step 3:

[0641] When the user enters instructions to start the story, the terminal receives the input and sends a session start request to the server.

[0642] Step 4:

[0643] The server creates a new session and sends the initial scene to the user's terminal. Data containing information about each character and environment is sent to the terminal.

[0644] Step 5:

[0645] The device renders the initial scene on a VR or visual display and presents it to the user. It simultaneously plays not only visual information but also audio information.

[0646] Step 6:

[0647] Users can give voice commands to control actions as the story progresses. For example, they can interact with characters or select their next destination.

[0648] Step 7:

[0649] The device converts the user's voice input into text in real time and sends that text to the server.

[0650] Step 8:

[0651] The server uses a large-scale language model to analyze user instructions and dynamically generates the next storyline and scene to proceed to. A new development is then determined.

[0652] Step 9:

[0653] The server sends the next generated scene data to the terminal. This data includes changes such as the appearance of new characters or the occurrence of events.

[0654] Step 10:

[0655] The device renders a new scene and presents it to the user again. Sound effects tailored to the scene are also played, enhancing the user's immersion.

[0656] Step 11:

[0657] As the story progresses, if the user's choices lead to a dramatic conclusion, the server generates the final ending and wraps up the storyline.

[0658] Step 12:

[0659] The device plays the ending scene, informing the user that the story has concluded. The user can also revisit the story and experience a new version with different choices.

[0660] (Example 1)

[0661] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0662] In modern entertainment, users desire deeper immersion in narratives and more subjective experiences. However, traditional movies and games remain in a format where users passively consume predetermined storylines, failing to adequately provide interactive experiences that dynamically change based on user choices. There is a need to solve this problem and provide systems that allow users to advance the narrative through their own choices and experience different endings.

[0663] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0664] In this invention, the server includes a storage device for recording the basis of a pre-configured story, an information processing device for customizing the story using the user's personal information and past selection history, and an acquisition device for converting the user's utterances into data using speech recognition technology. This makes it possible for the user to participate in a virtual story and be provided with an interactive experience that changes dynamically based on their choices.

[0665] A "storage device" is a device used to record and save data that forms the basis of a story in advance.

[0666] An "information processing device" is a device that utilizes a user's personal information and past selection history to prepare a customized story for each user.

[0667] An "acquisition device" is a device that uses speech recognition technology to accurately acquire voice input from a user and convert it into data.

[0668] A "generator" is a device that uses advanced language models to analyze user input and dynamically generate the next development in the story.

[0669] An "output device" is a device that provides the user with the development of the generated story in visual and auditory form, thereby realizing an immersive experience.

[0670] A "dialogue device" is a device that provides an interactive means to help users choose their next action based on the development of a generated story.

[0671] This invention provides a system that offers an interactive experience in which users participate in a virtual story and the story dynamically changes based on their choices. The following hardware and software are used in implementing this system.

[0672] The server records the storyline, which forms the basis of the narrative, in a storage device. This allows the system to provide a pre-configured story framework. The server also uses an information processing device to collect the user's personal information and past selection history, and prepares a personalized story for each user. At this stage, database technology is utilized to achieve efficient information management.

[0673] The device utilizes speech recognition technology to obtain input from the user. The device incorporates a speech recognition API that converts the user's voice input into text data. In this process, the voice input is processed quickly and accurately, and used as foundational data to understand the user's intent.

[0674] The user's choices are sent from the terminal to the server. The server uses a generator and a generative AI model to generate the next story development based on the user's choices. Specifically, it uses an advanced language model to generate prompt sentences, thereby flexibly constructing the story's progression. An example of a prompt sentence might be, "Think of a new development for questioning a suspect in a police interrogation scene."

[0675] The generated story is presented to the user by an output device built into the terminal. The terminal utilizes a graphics processing unit and sound system to provide a realistic and immersive visual and auditory experience. This allows the user to experience various scenarios while being immersed in the world of the story.

[0676] Based on the above, the present invention provides a concrete method for users to interactively participate in a story and dynamically determine the flow of the story through their own choices. This system aims to realize an innovative user experience that surpasses conventional entertainment experiences.

[0677] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0678] Step 1:

[0679] The server records the storyline, which forms the basis of the narrative, into a storage device. The input is the narrative's setting information, which is saved in the database, thus preparing the basic structure of the scenario. The output of this process provides the foundational data necessary to enable dynamic development based on user choices.

[0680] Step 2:

[0681] The server collects user profile information and past selection history using an information processing device. Input includes the user's past operation history and personal settings. This data is extracted and analyzed through database queries to create a story progression optimized for the user. The output is a customized story tailored to each user.

[0682] Step 3:

[0683] The device uses speech recognition technology to acquire voice input from the user and convert it into text data. The input is the user's speech. Using a speech recognition API, this speech is converted into text data, and necessary commands and intentions are extracted as text. The output is text data used for analysis.

[0684] Step 4:

[0685] The user's selections are sent from the terminal to the server. The input is the user's determined selection, which is transmitted to the server via the network. The output is input data used to determine the next step.

[0686] Step 5:

[0687] The server uses a generator and leverages a generative AI model to generate the next development in the story based on the user's choices. At this stage, the input consists of user selection data and a pre-configured storyline. Based on this data, prompts are generated, and a new scenario is constructed using an advanced language model. The output is the generated storyline.

[0688] Step 6:

[0689] The generated storyline is presented to the user by an output device built into the terminal. The input is the storyline sent from the server. Based on this information, visual and auditory content is generated and presented to the user. The output is an interactive environment where the user can choose their next action.

[0690] (Application Example 1)

[0691] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0692] Traditional film and storytelling experiences are inherently passive, with limited ways in which users can actively participate in the narrative. In particular, there was a need to provide interactive entertainment that enhances immersion through visuals and sound, while dynamically changing the story based on user choices.

[0693] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0694] In this invention, the server includes information recording means for storing a pre-set story progression, which is used to provide an interactive experience in which the user participates in a virtual story and the story in the virtual environment changes based on the user's actions; an input device for acquiring user input using speech recognition technology and converting it into text information; a generation device for dynamically creating the next development in the virtual environment using a large-scale language model for generating the next story development based on the user's action choices; a display device for providing the generated story development to the user as visual and audio information; and a virtual reality experience means for the user to enjoy an interactive experience using a VR device. This allows the user to change the story through their own choices, enabling a more immersive and dynamic story experience.

[0695] A "virtual story" is a fictional narrative that unfolds in a digital environment in which users can participate interactively.

[0696] "User actions" refer to the options that users choose or the instructions they give as the story progresses.

[0697] "Information recording means" refers to a database that stores the progress of a pre-set story and refers to it when presenting it to the user.

[0698] "Speech recognition technology" is a technology that converts voice input from users into text data in real time.

[0699] An "input device" is a device that receives voice input from a user and converts it into text information.

[0700] A "large-scale language model" is an artificial intelligence technology that analyzes user input and dynamically generates the next story development.

[0701] A "generation device" is a system component that has the means to dynamically create the next development based on the user's action choices.

[0702] A "display device" is a device that provides the user with the development of a generated story in visual and auditory forms.

[0703] "Virtual reality experience means" refers to methods and means that enable users to enjoy interactive experiences using VR devices.

[0704] The system for realizing this invention allows users to immerse themselves in a virtual story by wearing a VR device and experience an interactive story through voice input. The hardware, software, and data processing methods used are described below.

[0705] The system includes a VR device worn by the user (e.g., a general-purpose head-mounted display). The user acts as a character in the story, giving instructions and making choices through voice. This voice is converted into text data in real time using speech recognition software (e.g., Google Cloud Speech-to-Text) embedded in a speech recognition device.

[0706] The server uses a large-scale language model (e.g., OpenAI GPT) to analyze the user's transcribed speech input and generate the next development in the scenario. In this process, a generative AI model is used to flexibly generate diverse story developments while maintaining consistency in the narrative.

[0707] The generated storyline is delivered to the user as video and audio by the server. This process is then transmitted visually and audibly to the user's VR device, allowing them to continue their experience within the virtual narrative.

[0708] For example, if a user gives a voice command such as "Investigate this room" as part of a crime drama, the server analyzes the choice and generates a storyline in which new evidence is discovered. An example of a prompt used in this process is, "The user has chosen to explore the room in the crime drama. What clues will be found, and what choices will be presented to the user in the next step?" This allows the user to determine the next developments through their own choices within the story, resulting in a deeper sense of immersion.

[0709] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0710] Step 1:

[0711] The user participates in a virtual story using a VR headset and selects actions within the narrative. This step involves initial setup to allow the user to enter the VR space and begin the interaction.

[0712] Step 2:

[0713] The terminal receives the user's voice input and converts it into text data in real time using a speech recognition device. The input is the user's voice, and the output is text data. This conversion is carried out using speech recognition technology, and dedicated software performs this process.

[0714] Step 3:

[0715] The server receives text data sent from the terminal and analyzes it using a large-scale language model. This analysis generates the next story development based on the user's choices. The input is text data, and the output is data for the next story development. The server uses a generative AI model to generate a story based, for example, on a prompt sentence such as "The user chose to explore a room in a crime drama. As the next development, what clues will be found, and what choices will be presented to the user?"

[0716] Step 4:

[0717] The device receives story data from the server and presents it to the user in the form of visuals and audio. The input is story data, and the output is visual and audio information. The device then conveys newly generated scenes to the user through the VR device. The user can advance the story through these new developments.

[0718] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0719] This invention provides a system that offers an interactive experience in which users participate in a virtual story, and the story dynamically changes based on their actions and emotions. The following describes specific forms for implementing this system.

[0720] This system first records pre-configured storylines on the server, providing a foundation for how the story unfolds based on user actions. Multiple scenarios and endings are stored in a database, ready to dynamically advance the story in response to user interaction.

[0721] The device provides an interface for receiving input from the user. It converts the user's voice input into text data using speech recognition technology, and is also equipped with a camera and microphone to acquire emotional data from the user's facial expressions and tone of voice. The emotional recognition means analyzes the user's current emotional state, and this information is sent to the server as feedback.

[0722] The server uses a large-scale language model that analyzes user behavior-based instructions and a generation method that leverages acquired sentiment data. Based on this information, it generates the next development in the story, providing an experience that resonates with the user's emotions. This process enables a more personalized narrative progression.

[0723] The device renders newly generated scenes and narrative developments onto the VR or display. It presents the scenario to the user visually and audibly, providing emotionally responsive interactions. This allows the user to experience a dynamic narrative that reflects their own emotions and choices.

[0724] As a concrete example, the system analyzes signs of stress and excitement that the user displays during dialogue scenes with characters, and the server adjusts the character's reactions and subsequent choices accordingly. For instance, if the user shows a relaxed expression, the story can proceed in a more relaxed manner.

[0725] In this way, the system of the present invention aims to realize a more immersive and interactive movie experience in which the story progresses based on both the user's choices and emotions.

[0726] The following describes the processing flow.

[0727] Step 1:

[0728] The server loads existing storylines and scenarios from the database and associates them with the user's profile information, preparing to launch an interactive narrative.

[0729] Step 2:

[0730] The device activates the user interface, initializes the voice recognition system and emotion recognition functions (camera and microphone), and prepares for user input.

[0731] Step 3:

[0732] To begin the story, the user inputs voice commands into the device. At this time, the device also collects the user's facial expression data via its camera.

[0733] Step 4:

[0734] The device converts the user's voice into text data and simultaneously analyzes emotional data from facial expressions and voice tone. This information is then sent to the server.

[0735] Step 5:

[0736] The server receives textualized instructions and sentiment data, which are then analyzed using a large-scale language model. Based on the user's intentions and emotional state, it generates the next steps in the scenario and the character's response.

[0737] Step 6:

[0738] The server generates scenarios that reflect the emotion recognition results and determines the story development that is appropriate for the user. This process is supported by generative AI.

[0739] Step 7:

[0740] The server sends the newly generated scene data to the terminal. This data includes character dialogue and events tailored to the user's emotions.

[0741] Step 8:

[0742] The device renders a new scene and provides the user with visual and audio content. The scene corresponds to the user's current emotions.

[0743] Step 9:

[0744] The user chooses their next action in a new situation, and the scene or dialogue continues. This process is repeated, allowing the emotionally resonant narrative experience to progress.

[0745] Step 10:

[0746] As the story approaches its main conclusion, the server generates an appropriate ending that corresponds to the user's choices and emotions, and plays it back as the finale.

[0747] Step 11:

[0748] The device plays the final scene, informing the user that the story has ended. After the ending, the user can try different choices to experience a different story.

[0749] (Example 2)

[0750] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0751] In modern entertainment, there is a growing need for systems that provide narrative experiences that dynamically change based on user behavior and emotions. However, existing systems struggle to analyze user emotions in detail and create personalized narrative progressions based on them. Therefore, there is a need for new interactive experiences that dynamically change the story according to the user's emotional state.

[0752] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0753] In this invention, the server includes information storage means for recording a pre-configured storyline, voice conversion means for acquiring user voice input and converting it into text data, and emotion analysis means for analyzing the user's facial expressions and acquiring emotion data. This enables the scenario generation means to dynamically generate the next development of the story based on the user's actions and emotions, and to provide the user with an immersive and interactive experience through visual and audio presentation means.

[0754] "Information storage means" refers to a device or system for storing storylines and related information that change based on user choices and actions.

[0755] A "voice conversion means" is a processing device that receives voice input from a user and converts it into text data.

[0756] "Emotional analysis methods" refer to technologies or systems that analyze a user's facial expressions and tone of voice to identify their emotional state.

[0757] A "scenario generation method" is a technology or process for dynamically generating the next development in a virtual environment based on the user's actions and emotions.

[0758] A "visual and auditory presentation means" is a device or system for effectively communicating the development of a generated story to the user through sight and hearing.

[0759] This invention is a system that dynamically provides an interactive narrative experience based on the user's emotional state and behavior. This system consists of several key hardware and software components.

[0760] The server handles central processing and manages a database containing pre-configured storylines. Equipped with a large-scale language model, the server analyzes user input data and performs calculations to generate the next development. In this process, it generates prompts based on user choices and emotional data, and constructs new scenes based on these prompts. These scenes are designed to create a personalized experience that responds to the user's emotions.

[0761] The device functions as an interface for receiving input from the user. Voice input is captured via a microphone and converted into text data using speech recognition software. Furthermore, the device is equipped with a camera that captures the user's facial expressions and performs emotion analysis. The results of this analysis are sent to a server in real time and used to advance the story.

[0762] Users can interactively participate in the story through their devices. The system continuously analyzes the user's choices and actions. For example, if the user displays a relaxed expression, the system will guide the story toward a calmer development.

[0763] As a concrete example, suppose that when a user interacts with a virtual character, the device detects the user's excited voice and positive emotions. This information is sent to the server, which generates a prompt stating, "If the user is showing positive emotions, the character will respond in a friendly manner and suggest the next option."

[0764] This framework enables immersive, interactive narrative experiences based on user emotions and choices.

[0765] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0766] Step 1:

[0767] The device acquires voice input from the user via a microphone. The voice data is then converted into text data by speech recognition software. This conversion process provides the user's speech in digital format.

[0768] Step 2:

[0769] The device uses a camera to capture the user's facial expressions in real time. Based on this, emotion analysis software analyzes the user's facial data to identify their emotional state. The output provides the type and intensity of the emotion the user is expressing.

[0770] Step 3:

[0771] The terminal combines the outputs from Step 1 and Step 2 into a data package for transmission to the server. This package contains text data and sentiment data.

[0772] Step 4:

[0773] The server receives data packages sent from the terminal. Here, it analyzes text and sentiment data using a large-scale language model to generate prompts based on user behavior. This generation process outputs the next narrative development scenario.

[0774] Step 5:

[0775] The server uses a scenario generation mechanism to construct the next scene based on prompts. Here, the story's development is determined, taking into account the user's emotional state. The completed scene data is output and ready to be sent to the terminal.

[0776] Step 6:

[0777] The device receives scene information transmitted from the server and presents it to the user through a display or VR device using visual and auditory presentation methods. This allows the user to experience a narrative based on emotions and choices.

[0778] (Application Example 2)

[0779] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0780] In traditional interactive storytelling experiences, the story progresses based on user choices, but the user's emotional responses are not reflected in the narrative's progression. This results in a uniform storytelling experience that lacks individual immersion, which is a significant challenge.

[0781] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0782] In this invention, the server includes information storage means for recording pre-configured storylines and scenarios, acquisition means for acquiring the user's voice and facial expressions using speech recognition and emotion analysis technologies and converting them into data, and generation means for analyzing the user's behavior and emotion data using a large-scale language model and dynamically generating the next development in the virtual environment. This enables individualized story development according to the user's emotional state, providing a more immersive interactive experience.

[0783] An "information storage device" is a device that stores and manages multiple storylines and scenario data for a virtual narrative experience in which a user participates.

[0784] "Acquisition means" refers to a device that captures the user's voice and facial expressions and converts them into data using speech recognition technology and emotion analysis technology.

[0785] A "generation method" is a device that uses a large-scale language model to analyze user behavior and emotional data, and based on this, dynamically generates the next narrative development in a virtual environment.

[0786] A "display means" is a device that presents the development of a generated story to the user visually and aurally, providing an interactive experience.

[0787] A "large-scale language model" is a type of artificial intelligence technology that uses natural language processing techniques to learn from large amounts of language data and generate and analyze text.

[0788] "Emotion analysis technology" is a technology that analyzes a user's facial expressions and voice tone to evaluate the user's current emotional state.

[0789] In order to implement this invention, the user, server, and terminal must work together to provide an interactive narrative experience.

[0790] First, users participate in a virtual story using devices such as smartphones or head-mounted displays. These devices are equipped with speech recognition and emotion analysis technologies, which can capture the user's voice input and facial expressions. This allows for accurate acquisition of the user's intentions and emotions, which are then sent to a server as data.

[0791] The server uses a large-scale language model to analyze user behavior and emotional data. Based on this analysis, it dynamically generates new narrative developments. Pre-stored storyline and scenario data are also utilized in the narrative generation process. During this generation process, the server selects the narrative development that best matches the user's emotions and sends it to the device.

[0792] The device presents the user with the unfolding of a new story transmitted from the server. Using the display and audio system, the user experiences the scenario visually and aurally. This presentation allows for deeper immersion, enabling the user to enjoy a personalized story that reflects their own choices and emotions.

[0793] For example, if a user is watching a mystery movie, the scenario might change the moment they show a surprised expression, making the story more suspenseful. This change involves sending a prompt message, "The user is showing a surprised expression. What suspenseful and unpredictable event would you like to add to the next scene of the story?" to the generating AI model, which then suggests the optimal development. In this way, a story experience that dynamically changes based on the user's emotions and choices is realized.

[0794] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0795] Step 1:

[0796] The user accesses the story through their device. The device activates its camera and microphone to capture the user's voice and facial expressions. The input data consists of the user's voice and video, which are used in subsequent processing.

[0797] Step 2:

[0798] The device converts the acquired audio into text data using speech recognition technology. This conversion process utilizes services such as Google Cloud Speech-to-Text to generate text from the audio signal.

[0799] Step 3:

[0800] The device analyzes the user's facial expressions from video data using emotion analysis technology. The analysis results output the user's emotions (e.g., surprise, relief). Emotion analysis software is used to identify emotions from the characteristics of facial expressions.

[0801] Step 4:

[0802] The terminal sends voice-text data and sentiment data to the server. The server receives this information and supplies it as input to a large-scale language model.

[0803] Step 5:

[0804] The server dynamically generates the next story development using a generative AI model based on the input data. It sends a prompt to the generative model such as, "The user is showing a surprised expression. What kind of suspenseful and unpredictable event would you add as the next scene in the story?" and selects an appropriate story scene.

[0805] Step 6:

[0806] The server sends the new development of the generated story to the terminal. This is output as visual and audio data for the user to see.

[0807] Step 7:

[0808] The device presents the unfolding story to the user through its display and audio. This allows the user to enjoy an interactive narrative experience through both sight and sound.

[0809] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0810] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0811] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0812] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0813] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0814] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0815] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0816] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0817] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0818] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0819] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0820] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0821] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0822] 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.

[0823] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0824] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0825] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0826] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0827] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0828] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0829] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0830] The following is further disclosed regarding the embodiments described above.

[0831] (Claim 1)

[0832] To provide an interactive experience in which users participate in a virtual story and the story changes based on their actions, a database means for recording pre-set storylines is provided,

[0833] An input means that acquires user input using speech recognition technology and converts it into text data,

[0834] A generation method that analyzes user input using a large-scale language model and dynamically generates the next development in a virtual environment,

[0835] A display means that provides the user with the development of the generated story in visual and auditory form,

[0836] A system that includes this.

[0837] (Claim 2)

[0838] The system according to claim 1, further comprising interactive means that allow the user to select the next action based on the development of the generated story.

[0839] (Claim 3)

[0840] The system according to claim 1, which provides different endings depending on the user's choices and has multiple endings.

[0841] "Example 1"

[0842] (Claim 1)

[0843] To provide an interactive experience in which users participate in a virtual story and the story changes based on their actions, a storage device is provided to record the basis of a pre-set story,

[0844] An information processing device that customizes a story using the user's personal information and past selection history,

[0845] An acquisition device that converts user speech into data using speech recognition technology,

[0846] A generator that uses an advanced language model to analyze user input and quickly generate the next development in the story,

[0847] An output device that presents the generated development to the user as visual and auditory elements,

[0848] A system that includes this.

[0849] (Claim 2)

[0850] The system according to claim 1, further comprising a dialogue device that allows the user to select the next action based on the development of the generated story.

[0851] (Claim 3)

[0852] The system according to claim 1, wherein different endings are offered depending on the user's choice, and the system has multiple possible endings.

[0853] "Application Example 1"

[0854] (Claim 1)

[0855] To provide an interactive experience in which users participate in a virtual story and the story of the virtual environment changes based on their actions, an information recording means for remembering the progress of a pre-set story is provided,

[0856] An input device that acquires user input using speech recognition technology and converts it into text information,

[0857] A generator that dynamically creates the next development in a virtual environment by utilizing a large-scale language model to generate the next story development based on the user's action choices,

[0858] A display device that provides the user with the development of the generated story as visual and audio information,

[0859] A means of virtual reality experience for users to enjoy an interactive experience using VR equipment,

[0860] A system that includes this.

[0861] (Claim 2)

[0862] The system according to claim 1, comprising a dialogue device that visually presents the next action in response to the user's selection within a virtual space, and allows the user to select from multiple options.

[0863] (Claim 3)

[0864] The system according to claim 1, wherein different endings are offered depending on the user's choice, and the system has multiple endings.

[0865] "Example 2 of combining an emotion engine"

[0866] (Claim 1)

[0867] Information storage means for recording a pre-set storyline,

[0868] A voice conversion means for acquiring user voice input and converting it into text data,

[0869] A sentiment analysis method that analyzes the user's facial expressions and obtains emotional data,

[0870] A scenario generation method that uses a large-scale language model to analyze user behavior and emotions and dynamically generates the next development in a virtual environment,

[0871] A visual and auditory presentation means that provides the user with the development of the generated story in visual and auditory form,

[0872] A system that includes this.

[0873] (Claim 2)

[0874] The system according to claim 1, wherein the user selects the next action based on the development of the generated story, and the development of the story changes dynamically based on that selection.

[0875] (Claim 3)

[0876] The system according to claim 1, wherein different endings are provided depending on the user's emotional state, and the system has multiple endings.

[0877] "Application example 2 when combining with an emotional engine"

[0878] (Claim 1)

[0879] To provide an interactive experience in which users participate in a virtual story and the story changes based on their actions and emotions, an information storage means for recording pre-set storylines and scenarios,

[0880] An acquisition means that acquires the user's voice and facial expressions using speech recognition and emotion analysis technology and converts them into data,

[0881] A generation method that uses a large-scale language model to analyze user behavior and sentiment data and dynamically generates the next development in a virtual environment,

[0882] A display method that provides the user with the development of the generated story visually and aurally, thereby enhancing immersion,

[0883] A system that includes this.

[0884] (Claim 2)

[0885] The system according to claim 1, comprising means for enabling the user to select the next action based on the development of the generated story, and for providing interaction according to the user's emotional state.

[0886] (Claim 3)

[0887] The system according to claim 1, which provides different endings depending on the user's choices and emotions, and has multiple endings. [Explanation of Symbols]

[0888] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. To provide an interactive experience in which users participate in a virtual story and the story changes based on their actions, a database means for recording pre-set storylines is provided, An input means that acquires user input using speech recognition technology and converts it into text data, A generation method that analyzes user input using a large-scale language model and dynamically generates the next development in a virtual environment, A display means that provides the user with the development of the generated story in visual and auditory form, A system that includes this.

2. The system according to claim 1, further comprising interactive means that allow the user to select the next action based on the development of the generated story.

3. The system according to claim 1, wherein different endings are offered depending on the user's choices, and the system has multiple endings.

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