system

Abstract

We provide the system. [Solution] A means for receiving information from a user and transmitting that information to a generating device, A means for generating a story concept using a generation device based on user input information, A means of generating and presenting choices that the user can select based on the generated story concept, A means of generating a story and visual information based on the choices selected by the user, A means of saving and sharing the generated narratives and visual information, 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 persona chatbot control method performed by at least one processor, including 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] When creating an original story, technical knowledge and rich imagination are particularly required, so the task is difficult for many users. Also, there is a problem that there is a lack of an environment in which a wide range of people such as children and the elderly can easily participate in creative activities. Therefore, there is a need for a system that solves these problems and enables users to easily create visual content related to their own stories.

Means for Solving the Problems

[0005] This invention provides a means for generating a story concept based on information input by a user and presenting the user with options based on that concept. It also provides a system that generates a specific story and visual information based on the user's selection, and includes functions for saving and sharing this information. Furthermore, by presenting appropriate options according to the user's age and preferences, it can provide a creative experience optimized for each individual. This system eliminates technical hurdles, enabling users to intuitively enjoy creative work.

[0006] A "user" is an individual or entity that accesses the system, enters information, and selects options.

[0007] A "generation device" is a device or program that automatically generates story concepts and visual information based on information from the user.

[0008] "Information" refers to data provided by users regarding their age, hobbies, and themes of stories.

[0009] "Story conception" refers to the outline or basic plot of a story that is generated based on user information.

[0010] A "choice" is a set of options for scenes or developments that a user can choose to determine the progression of the story.

[0011] "Visual information" refers to illustrations and visual elements related to the story, encompassing all content presented to the user.

[0012] "Preservation" is the act of recording generated narratives and visual information in a form that can be reused in the future.

[0013] "Sharing" is the act of making generated narratives and visual information accessible to other people or devices.

[0014] "Editable" means that users can later change or modify the story or visual data.

Brief Description of Drawings

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

Modes for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of a 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, and the like.

[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 is a system that allows users to easily create original stories and save and share them along with visual information. This system consists of three main elements: a terminal, a server, and the user.

[0037] First, the user uses their device to input information such as their age and the theme of the story. The device temporarily stores this information and prepares to send it to the server. This information is essential for generating the story.

[0038] Next, the server uses its generation equipment to generate a story outline based on the information it receives. This outline generation uses a generation AI model to automatically generate a plot and characters optimized for the user's age and selected theme. Based on the generated story outline, the server then provides the user with multiple choices.

[0039] The user reviews the options presented through their device and selects one that will determine the story's progression. This selection will influence the narrative's development and depiction. After the user's selection is made, the server further refines the story and visual information based on the choice, generating specific content.

[0040] The generated story and visual information are presented to the user via the device. The user can review the results and re-edit them as needed. Once edited, the user can save the finished content to the device and share it with other users or devices.

[0041] As a concrete example, let's consider an adventure story for a five-year-old. If the user selects the themes "animals as the main characters" and "adventure," the server generates a suitable plot and presents three scenes as options, such as "forest," "lake," and "mountain." If the user selects "lake," the server generates a detailed scenario and visuals of an adventure related to the lake and provides them to the user.

[0042] In this way, the system supports the user in creating stories and visual information in an effective and intuitive manner.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The device displays a screen where the user can enter basic information such as age and preferred themes (e.g., adventure, fantasy). The user enters this information, and the device temporarily saves it.

[0046] Step 2:

[0047] The terminal sends the saved user information to the server. The server analyzes the received data and prepares to call the generated AI model.

[0048] Step 3:

[0049] The server uses a generative AI model to generate story concepts based on user information. In this process, it automatically creates plots and characters that align with the user's age and themes.

[0050] Step 4:

[0051] The server generates choices for specific scenes and plot developments based on the generated story concept. These choices are then sent to the terminal and displayed to the user.

[0052] Step 5:

[0053] The user reviews the options presented on their device and decides which option they want to choose. The device then sends this choice to the server.

[0054] Step 6:

[0055] The server generates more detailed story sections and visual information based on the user's selections. This includes character actions and background illustrations that align with the chosen scenes.

[0056] Step 7:

[0057] The device presents the generated story and visual information to the user for review. The user can then choose to make further edits as needed.

[0058] Step 8:

[0059] When a user completes a picture book, the device will present an option to save its contents and save the data according to the user's instructions. It will also prepare to convert and save the data in a format that can be shared with other users and devices.

[0060] (Example 1)

[0061] 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."

[0062] There is a need for a system that can meet the diverse needs of today's world, allowing users to create personalized stories based on their preferences and attributes, and easily generate, save, and share the visual information associated with those stories. In particular, there is a need for an environment that allows users to intuitively and flexibly participate in the process of selecting stories.

[0063] 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.

[0064] In this invention, the server includes means for collecting attribute data from users and transmitting said data to a computing device, means for the computing device to automatically create a story design based on the user's attribute data, and means for presenting selectable branches to the user based on the created story design. This enables users to efficiently generate stories that suit their preferences and age, and to flexibly edit and share the resulting works.

[0065] "User" refers to an entity that uses a story generation system to generate, edit, and share stories and visual information.

[0066] "Attribute data" refers to input information that is considered when generating a story, such as the user's age, theme, and preferences.

[0067] A "computational device" refers to a device that has a hardware or software configuration that processes information based on received attribute data and automatically generates a story.

[0068] "Story design" refers to basic information such as the plot and character structure of a story that is automatically generated by a generator.

[0069] "Branching" refers to the different story development patterns that users can choose from in the design of the generated narrative.

[0070] "Visual information" refers to visual content such as illustrations and images related to the generated story.

[0071] "Recording" refers to the act of saving generated stories and visual information as digital data.

[0072] "Sharing" refers to the act of transmitting generated or edited stories or visual information to other users or devices via communication, making them viewable.

[0073] The following describes specific embodiments for carrying out the present invention.

[0074] First, the user uses a device to input attribute data for story generation. This data includes the user's age, the story's theme, preferences, etc., and is temporarily stored on the device. The device used here is a common information processing device such as a personal computer or smartphone.

[0075] Next, the terminal sends the temporarily stored attribute data to the server. The server receives this data and uses a generative AI model to design the story. This generative AI model employs a model with advanced natural language processing capabilities, such as technologies like "GPT-3(registered trademark)" and "Stable Diffusion." An example of a prompt message would be, "Generate an adventure story for a 5-year-old child, featuring animals as the main characters."

[0076] Based on the generated story design, the server determines multiple branching paths that the user can choose from and sends them to the terminal. The terminal presents these options to the user, who can then select one that will influence the story's progression. The selected information is sent back to the server, where more detailed story and visual information are generated. Generative AI models such as "Stable Diffusion" are used to generate the visual information.

[0077] Ultimately, users can review the generated story and visual information on their device and edit it as needed. The edited content can be saved on the device and shared with other users and devices. This creates a system that provides stories and visual experiences tailored to each user's individual needs.

[0078] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0079] Step 1:

[0080] The user uses a device to input attribute data necessary for story generation. Specifically, this includes the user's age, the story's theme, and their preferences. The device temporarily stores this data in memory. This input information is used as foundational data for subsequent processing.

[0081] Step 2:

[0082] The terminal prepares to send the stored attribute data to the server. In this process, the data is structured and formatted according to the communication protocol. As output, data packets are generated for secure transmission of the attribute data to the server.

[0083] Step 3:

[0084] The server receives attribute data sent from the terminal. Based on the received data, the server utilizes a generative AI model to automatically generate a story design that is optimal for the user's attributes. Multiple algorithms operate as part of the data calculation, and the plot and characters are designed based on the prompt text. The generated output is basic story design information.

[0085] Step 4:

[0086] Based on the generated story design, the server determines multiple story branches that the user can choose from. During this process, branching points that consider diverse story developments are identified and sent to the terminal along with visual information. The output is a visually organized list of choices to prompt the user to make a decision.

[0087] Step 5:

[0088] The user reviews the options provided via their device and selects their desired story branch. The selected information is then fed back to the server via the device. The user's selection is recorded as new input.

[0089] Step 6:

[0090] The server generates more detailed narratives and visual information based on the user's selections. This process utilizes high-performance image generation algorithms for visual information generation. The output consists of specific scenario details and associated visual content.

[0091] Step 7:

[0092] Users can review the generated story and visual information on their device and make corrections as needed. Editing tools are available to adjust the story and images. The edited data is saved on the device.

[0093] Step 8:

[0094] Users save their completed stories and visual information to their devices and share them with other users and devices. This process involves storing the data in a save folder and converting it into a format shareable via communication apps or email. The output consists of the saved data file and a sharing link.

[0095] (Application Example 1)

[0096] 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."

[0097] Modern users, while interested in creating stories, lack environments that easily allow them to express their creativity. Furthermore, limited means of enjoying original stories visually and aurally create a need for effective tools to nurture children's creativity. Additionally, smoother processes are needed for sharing and re-editing created stories.

[0098] 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.

[0099] In this invention, the server includes means for receiving information from the user and transmitting that information to a generation device; means for the generation device to generate a story concept based on the user's input information; means for generating and presenting choices that the user can select based on the generated story concept; and means for presenting the story with audio and visual effects in response to user input. This makes it possible for users to easily create original stories and enjoy them interactively through audio and visual information.

[0100] "Means of obtaining information from the user" refers to the process of receiving data from the user, such as the story's theme or the user's age, and acquiring it through a terminal or other input device.

[0101] "Means for transmitting information to the generation device" refers to a communication method that transfers input information obtained from the user as data to the generation device and initiates the process for generating a story.

[0102] "A means of generating a story concept using a generation device" refers to an algorithm that uses a generation AI model to form and output an outline and main storyline based on user input information.

[0103] "Means for generating and presenting user-selectable options" refers to the process of providing, displaying, or presenting scenarios and characters that the user can choose from based on the generated narrative concept.

[0104] "Means of presenting a story through sound and visual effects" refers to means of providing the content of a generated story to the user as visual and auditory information through sound output devices, displays, etc.

[0105] "Means for saving and sharing narratives and visual information" refers to a system structure that records the content of generated narratives as digital data and has the function of sharing that data with other users and devices.

[0106] The system implementing this invention consists of three main elements: a terminal, a server, and a user.

[0107] The user uses a device to input the story's theme and their age information, which is temporarily stored as data. The device then transmits this data to the server. A data transfer protocol is used for this communication, allowing the server to receive the information accurately.

[0108] The server uses a generative AI model based on the user's data to formulate a story concept. This generative AI model is optimized according to the user's age and selected theme, and automatically devises plots and characters. From the generated story outline, the server presents the user with further developments and choices. An example of a prompt here would be, "Generate a children's adventure story set in space."

[0109] The user reviews the options presented through the terminal and selects one that determines the progression of the story. Based on this selection, the server elaborates on the story with audio and visual effects. Visual information generation software (such as Unity or Unreal Engine) is used for this. The generated story and visual information are displayed on the terminal and provided to the user through audio output. For example, if the user selects "Lake," the server will construct a detailed adventure scenario related to the lake.

[0110] After completing a story, users can re-edit it as needed. Editing allows for the selection of new options and modification of existing information. The final story is saved on the device and can be shared with other devices and users as needed. This system allows users to unleash their creativity and enjoy stories using both visual and auditory information.

[0111] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0112] Step 1:

[0113] The user operates the device and enters information such as the story's theme and age. This input information is temporarily stored on the device. The entered data is converted to JSON format and prepared to be sent to the server as structured data.

[0114] Step 2:

[0115] The terminal sends input data to the server. The server receives this data and analyzes the input information. The received data is used as prompts for the generating AI model, which generates story plots and initial character designs based on the theme and age group, using a database. At this time, prompts such as "Generate a children's adventure story set in space" are used.

[0116] Step 3:

[0117] Based on the generated story summary, the server creates a list of choices to present to the user. These choices are displayed visually on the device. The choice data is encoded in JSON format and presented in a format that is easy for the user to understand intuitively.

[0118] Step 4:

[0119] The user uses a device to make a choice from the presented options that will influence the story's progression. The device then sends the selected data back to the server, and information based on the user's choices is passed to the server.

[0120] Step 5:

[0121] The server further refines the story content based on user selections. Visual generation software such as Unity or Unreal Engine is used to generate visual and audio information. Visual scene analysis and audio scenarios are assigned, and this data is sent to the terminal.

[0122] Step 6:

[0123] The terminal receives detailed story data from the server and presents visual and audio information to the user via an audio output device or display. At this time, the user can view the visual representation of the story and enjoy the story through audio.

[0124] Step 7:

[0125] If the user is satisfied with the final result of the generated story, they can use the device's save function to record the story and visual data. This information is kept in a format that can be shared with other users and devices. Users can re-edit this saved data as needed.

[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 is a story generation system that combines an emotion engine that recognizes the user's emotional state and optimizes story conception and choices based on that information. It mainly consists of the interaction between a terminal, a server, the emotion engine, and the user.

[0128] First, the user enters their age and themes of stories they are interested in via their device. The emotion engine then recognizes the user's emotional state through the device's camera and sensor functions. The emotion engine analyzes the user's facial expressions and tone of voice, acquiring emotional data in real time.

[0129] This information is sent from the device to the server. The server uses a generative AI model to generate a story concept that takes into account the user's age, theme, and emotional state. In this generation process, the story development and choices are dynamically adjusted based on how the user is currently feeling (e.g., excited, calm, anxious, etc.). For example, if the user is feeling anxious, the server can present calming and encouraging choices.

[0130] Next, the server transfers the generated story summary and choices to the terminal and presents them to the user. The user reviews the choices on the terminal and decides how to proceed with the story. At this time, the emotion engine monitors the user's state as needed and provides feedback to ensure that the choices match the user's expectations.

[0131] The selected content is sent to the server, and detailed visual information related to the story is generated. The generated content is presented to the user, saved on the device, and shared as needed. Furthermore, it includes a function that allows users to flexibly re-edit the story and visual information if they wish to make different choices.

[0132] For example, if a user chooses an adventure story and the emotion engine recognizes an excited state, the server will provide a plot with many dynamic action scenes. When the user selects the option "run up the mountain," the story unfolds while ensuring that the state confirmed by the emotion engine data is positive for that choice. This system enables a personalized creative experience that takes the user's emotions into account.

[0133] The following describes the processing flow.

[0134] Step 1:

[0135] The device displays a form for the user to enter their age and the theme of the story. The user enters this information. The device also uses its camera and sensors to collect the user's facial expressions and voice, preparing them for analysis by the emotion engine.

[0136] Step 2:

[0137] The emotion engine analyzes collected user facial and voice data to recognize the user's emotional state. For example, it can determine emotions such as joy, surprise, and sadness in real time from facial expressions. The determination results are then provided to the device as data.

[0138] Step 3:

[0139] The terminal integrates user input information with emotion data from the emotion engine and sends it to the server. The server receives this data and begins analysis.

[0140] Step 4:

[0141] The server utilizes a generative AI model to generate story concepts based on user information (age, theme, and emotional state). It designs plots that resonate with the user's emotions to ensure enjoyment.

[0142] Step 5:

[0143] The server creates specific choices based on the generated story concept and sends them to the user's terminal for presentation. These choices often include content that corresponds to the recognized emotions of the user.

[0144] Step 6:

[0145] The user views the options presented on the device and chooses the desired progression of the story. The device then records this choice and sends it to the server.

[0146] Step 7:

[0147] The server dynamically generates detailed stories and visual information based on user choices. It also optimizes content to reflect changes in emotional state.

[0148] Step 8:

[0149] The device displays the generated story and visual information to the user. The user reviews the content and chooses to save or re-edit the results. Options for saving and sharing are also provided.

[0150] This system enables a compelling narrative experience that reflects the user's emotions in real time.

[0151] (Example 2)

[0152] 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".

[0153] Conventional story generation systems lacked sufficient dynamic story construction that took into account the user's emotional state, making it difficult to provide a personalized experience for each user. In particular, the limited provision of choices that reflected the emotions the user was feeling at the time, and the limited flexibility in reconstructing the story, made it difficult to increase user satisfaction.

[0154] 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.

[0155] In this invention, the server includes information input means for acquiring data from the user, emotion recognition means for analyzing the user's emotional state using the terminal's camera and sensors, and means for generating a story concept using a generative model based on the user's data and emotional state. This enables the generation of personalized stories that respond to the user's emotions in real time.

[0156] An "information input means" is a system component for acquiring data from a user.

[0157] "Emotion recognition means" refers to a function that analyzes the user's emotional state using the terminal's camera or sensors.

[0158] A "generative model" is an algorithm used to generate story concepts based on user data and emotional states.

[0159] "A story concept" is a collection of ideas that constitute the plot and setting of a story, generated based on user input and emotional state.

[0160] "Options" refer to multiple possible actions or developments presented to the user based on the generated narrative concept.

[0161] "Visual content" refers to detailed visual elements generated in connection with the creation of a narrative.

[0162] A "server" is a central computing device that processes information and generates stories based on data sent by users.

[0163] A "terminal" is a device used by a user that performs information input, emotion recognition, and communicates with a server as an interface.

[0164] This invention is a narrative generation system that takes into account the user's emotional state, and mainly consists of the interaction of a terminal, a server, an emotion recognition means, and a generation AI model.

[0165] The device is equipped with an information input mechanism for the user to enter their age and areas of interest. The user enters this information through the screen, setting the basis for the entire story. The device also has a camera and sensors that function as emotion recognition mechanisms. These emotion recognition mechanisms analyze the user's emotional state in real time using facial expressions, tone of voice, and other factors.

[0166] This emotional state data and user input information are sent from the terminal to the server. Based on this information, the server dynamically generates a story concept using a generative AI model. The generative AI model constructs an appropriate story by considering the user's age, themes of interest, and prompts corresponding to their current emotional state.

[0167] As a concrete example, suppose a user chooses "fantasy adventure story" as their theme, and the emotion recognition system detects the user's "excited state." In this case, the server, based on its generative AI model, generates a story containing many action-packed scenes, using prompts such as, "Think of the next development that will evoke excitement in this fantasy adventure story."

[0168] Ultimately, the generated story concept and associated visual content are presented to the user through the device. Users can advance the story through the provided choices, or re-edit the story by selecting their favorite elements. In this way, it is possible to provide a personalized creative experience that responds to the user's real-time emotions.

[0169] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0170] Step 1:

[0171] The user inputs information using a terminal. Here, the user enters their age and preferred story themes through the terminal's interface. This input information becomes the basic data needed for the next processing step. The output consists of a dataset containing the user's personal information.

[0172] Step 2:

[0173] The device analyzes the user's emotional state using its camera and sensors. The device analyzes the user's facial expressions and voice tone in real time through its camera and voice input functions using emotion recognition mechanisms. The processed data is output as emotion data, indicating the user's emotional state (e.g., excitement, anxiety).

[0174] Step 3:

[0175] The terminal transmits user-inputted information and emotional states to the server. This data is then aggregated at a central processing station. The output is delivered to the server as a data package containing user information and emotional data.

[0176] Step 4:

[0177] The server generates story concepts using a generative AI model based on aggregated data. User information and emotion data are supplied to the AI ​​model as input, in the form of the prompt "Generate a story for an excited 18-year-old user." The AI ​​model considers the optimal story development based on the user's characteristics and generates an appropriate story concept. As output, the storyline is generated and recorded.

[0178] Step 5:

[0179] The server generates a summary of the generated story, along with choices that the user can select, and sends them to the terminal. The server generates a variety of possible developments based on the story's storyline and provides them to the terminal. The output is a story summary with choices tailored for the user.

[0180] Step 6:

[0181] The user selects their preferred option from the choices presented on the device. The device then reflects the user's preferences based on this selection. The selected information leads to processing in the next step. The output confirms the selection information based on the user's choice.

[0182] Step 7:

[0183] The user sends their selection information to the server, which then generates related visual content. The server uses this information to generate detailed visual elements to enhance the user experience. The output consists of visual content related to the completed story scene.

[0184] Step 8:

[0185] The device stores the generated story and visual content, allowing users to share it with others as needed. The device stores the saved content in internal memory or cloud storage, providing sharing options. Ultimately, the complete story experience is consolidated in the user's hands.

[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] While modern story generation systems can generate diverse narratives based on user input, they still fall short in their ability to interactively customize stories by considering the user's emotional state. There is a need to provide more personalized stories that take into account the impact of user emotions on the narrative experience. Traditional systems have been unable to dynamically optimize story details based on real-time emotional feedback from users.

[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 means for receiving information from the user and transmitting that information to an information processing device; means for generating a story concept using the information processing device based on the user's input information and emotional information; and means for recognizing the user's emotional state in real time and optimizing the story and visual information based on the recognized emotions. This enables dynamic story generation tailored to the individual emotional state of the user.

[0191] An "information processing device" is a device that processes information received from a user and has the function of generating a story concept.

[0192] "Emotional information" refers to data that indicates a user's emotional state, and is obtained from information such as facial expressions and tone of voice.

[0193] "Story conception" refers to a plan that defines the overall framework and development of the story, and is generated based on user input and emotions.

[0194] "Real-time recognition" means instantly analyzing and reflecting the user's emotional state on the spot.

[0195] "Visual information" refers to images and video data related to a story, which are optimized based on the user's emotions.

[0196] "Dynamic optimization" means updating the content in response to the user's emotions and choices, and adjusting it to the optimal form each time.

[0197] A "personalized story" is a narrative that is customized based on the preferences and emotions of a particular user.

[0198] The system for implementing this invention includes a process for generating personalized stories using user input information and emotional information. Specifically, the user inputs their age and preferred themes using a device. This device is also equipped with a camera and microphone, allowing it to acquire emotional information in real time from facial expressions and voice tone.

[0199] The device sends acquired emotional information and user input information to the server. The server analyzes the user's emotional state using software such as Python or OpenCV, and based on this, generates a story concept using a generative AI model. In this generation process, for example, if the user is in a state of concentration, a story with strong mystery elements will be provided.

[0200] The server sends the generated story concept to the user's device, which then presents it to the user. Once the user makes a decision about the story's progression, the device again checks their emotional state and sends feedback to the server. Based on this feedback, the server dynamically adjusts the story and generates optimized visual information.

[0201] By implementing this system, users can obtain a dynamic story generation experience tailored to their individual emotional state. For example, by inputting the prompt, "Create a mystery story best suited to a focused user," into the generation AI model, a story can be generated. This allows users to experience a story that meets their expectations.

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

[0203] Step 1:

[0204] The device prompts the user for information such as age and areas of interest. This input data is treated as basic information necessary for generating the user's narrative. The device also uses its camera and microphone to capture the user's facial expressions and voice tone in real time, sending this emotional information to the server. In this process, the input is the user's profile information, and the output is an initial dataset for analysis.

[0205] Step 2:

[0206] The server processes user input information and emotion information received from the terminal. Here, the server analyzes the emotion information using Python or OpenCV to determine the user's emotional state. The input is raw data indicating the user's emotional state, and the server performs data analysis to output a result indicating what emotional state the user is in (e.g., excited, calm, etc.).

[0207] Step 3:

[0208] The server passes the analyzed emotional state and input information to the generating AI model to generate a story concept. In this generation process, for example, a prompt such as "Create a mystery story best suited to a focused user" is input to the AI ​​model, and a personalized story plot is output. As a result, the generating AI model constructs the optimal story tailored to the user's state.

[0209] Step 4:

[0210] The server sends the generated story plot to the terminal. The terminal presents this story plan to the user, allowing the user to decide how the story progresses from several options. The input here is the generated story plot, and the output is the information presented to the user.

[0211] Step 5:

[0212] The user selects an option presented through the device, and this selection information is sent back from the device to the server. The device verifies whether the user's selection is appropriate for their current emotional state, and sends the most suitable option as output to the server.

[0213] Step 6:

[0214] The server optimizes the story and visual information based on the selection information received from the user. The server generates new visual content based on the selected story and sends it to the terminal. The input is the user's selection information, and the output is the improved story and visual information.

[0215] Step 7:

[0216] The device ultimately presents the generated story and visual information to the user, completing the narrative experience. The generated content can be saved on the device and shared with other platforms as needed. The input is the final output data from the server, while the presentation to the user and saving are the outputs.

[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 is a system that allows users to easily create original stories and save and share them along with visual information. This system consists of three main elements: a terminal, a server, and the user.

[0234] First, the user uses their device to input information such as their age and the theme of the story. The device temporarily stores this information and prepares to send it to the server. This information is essential for generating the story.

[0235] Next, the server uses its generation equipment to generate a story outline based on the information it receives. This outline generation uses a generation AI model to automatically generate a plot and characters optimized for the user's age and selected theme. Based on the generated story outline, the server then provides the user with multiple choices.

[0236] The user reviews the options presented through their device and selects one that will determine the story's progression. This selection will influence the narrative's development and depiction. After the user's selection is made, the server further refines the story and visual information based on the choice, generating specific content.

[0237] The generated story and visual information are presented to the user via the device. The user can review the results and re-edit them as needed. Once edited, the user can save the finished content to the device and share it with other users or devices.

[0238] As a concrete example, let's consider an adventure story for a five-year-old. If the user selects the themes "animals as the main characters" and "adventure," the server generates a suitable plot and presents three scenes as options, such as "forest," "lake," and "mountain." If the user selects "lake," the server generates a detailed scenario and visuals of an adventure related to the lake and provides them to the user.

[0239] In this way, the system supports the user in creating stories and visual information in an effective and intuitive manner.

[0240] The following describes the processing flow.

[0241] Step 1:

[0242] The device displays a screen where the user can enter basic information such as age and preferred themes (e.g., adventure, fantasy). The user enters this information, and the device temporarily saves it.

[0243] Step 2:

[0244] The terminal sends the saved user information to the server. The server analyzes the received data and prepares to call the generated AI model.

[0245] Step 3:

[0246] The server uses a generative AI model to generate story concepts based on user information. In this process, it automatically creates plots and characters that align with the user's age and themes.

[0247] Step 4:

[0248] The server generates choices for specific scenes and plot developments based on the generated story concept. These choices are then sent to the terminal and displayed to the user.

[0249] Step 5:

[0250] The user reviews the options presented on their device and decides which option they want to choose. The device then sends this choice to the server.

[0251] Step 6:

[0252] The server generates more detailed story sections and visual information based on the user's selections. This includes character actions and background illustrations that align with the chosen scenes.

[0253] Step 7:

[0254] The device presents the generated story and visual information to the user for review. The user can then choose to make further edits as needed.

[0255] Step 8:

[0256] When a user completes a picture book, the device will present an option to save its contents and save the data according to the user's instructions. It will also prepare to convert and save the data in a format that can be shared with other users and devices.

[0257] (Example 1)

[0258] 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."

[0259] There is a need for a system that can meet the diverse needs of today's world, allowing users to create personalized stories based on their preferences and attributes, and easily generate, save, and share the visual information associated with those stories. In particular, there is a need for an environment that allows users to intuitively and flexibly participate in the process of selecting stories.

[0260] 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.

[0261] In this invention, the server includes means for collecting attribute data from users and transmitting said data to a computing device, means for the computing device to automatically create a story design based on the user's attribute data, and means for presenting selectable branches to the user based on the created story design. This enables users to efficiently generate stories that suit their preferences and age, and to flexibly edit and share the resulting works.

[0262] "User" refers to an entity that uses a story generation system to generate, edit, and share stories and visual information.

[0263] "Attribute data" refers to input information that is considered when generating a story, such as the user's age, theme, and preferences.

[0264] A "computational device" refers to a device that has a hardware or software configuration that processes information based on received attribute data and automatically generates a story.

[0265] "Story design" refers to basic information such as the plot and character structure of a story that is automatically generated by a generator.

[0266] "Branching" refers to the different story development patterns that users can choose from in the design of the generated narrative.

[0267] "Visual information" refers to visual content such as illustrations and images related to the generated story.

[0268] "Recording" refers to the act of saving generated stories and visual information as digital data.

[0269] "Sharing" refers to the act of transmitting generated or edited stories or visual information to other users or devices via communication, making them viewable.

[0270] The following describes specific embodiments for carrying out the present invention.

[0271] First, the user uses a device to input attribute data for story generation. This data includes the user's age, the story's theme, preferences, etc., and is temporarily stored on the device. The device used here is a common information processing device such as a personal computer or smartphone.

[0272] Next, the terminal sends the temporarily stored attribute data to the server. The server receives this data and uses a generative AI model to design the story. This generative AI model employs a model with advanced natural language processing capabilities, such as technologies like "GPT-3" and "Stable Diffusion." An example of a prompt message would be, "Generate an adventure story for a 5-year-old child, featuring animals as the main characters."

[0273] Based on the generated story design, the server determines multiple branching paths that the user can choose from and sends them to the terminal. The terminal presents these options to the user, who can then select one that will influence the story's progression. The selected information is sent back to the server, where more detailed story and visual information are generated. Generative AI models such as "Stable Diffusion" are used to generate the visual information.

[0274] Ultimately, users can review the generated story and visual information on their device and edit it as needed. The edited content can be saved on the device and shared with other users and devices. This creates a system that provides stories and visual experiences tailored to each user's individual needs.

[0275] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0276] Step 1:

[0277] The user uses a device to input attribute data necessary for story generation. Specifically, this includes the user's age, the story's theme, and their preferences. The device temporarily stores this data in memory. This input information is used as foundational data for subsequent processing.

[0278] Step 2:

[0279] The terminal prepares to send the stored attribute data to the server. In this process, the data is structured and formatted according to the communication protocol. As output, data packets are generated for secure transmission of the attribute data to the server.

[0280] Step 3:

[0281] The server receives the attribute data sent from the terminal. Based on the received data, the server utilizes the generative AI model to automatically generate a story design optimized for the user's attributes. As data operations, multiple algorithms operate, and plots and characters are designed based on the prompt text. The generated output is the basic story design information.

[0282] Step 4:

[0283] Based on the generated story design, the server determines multiple story branches that the user can select. In this process, branch points considering various developments of the story are identified and sent to the terminal together with visual information. The output is a visually organized list of options to prompt the user's selection.

[0284] Step 5:

[0285] The user checks the options provided via the terminal and selects the desired story branch. The selected information is fed back to the server through the terminal again. The user's selection is recorded as new input.

[0286] Step 6:

[0287] Based on the user's selection information, the server generates more detailed stories and visual information. In this process, high-performance image generation algorithms are used in visual information generation. The output is specific scenario details and related visual content.

[0288] Step 7:

[0289] The user checks the stories and visual information generated on the terminal and makes corrections if necessary. It is possible to adjust the stories and images using editing tools. The edited data is saved on the terminal.

[0290] Step 8:

[0291] Users save their completed stories and visual information to their devices and share them with other users and devices. This process involves storing the data in a save folder and converting it into a format shareable via communication apps or email. The output consists of the saved data file and a sharing link.

[0292] (Application Example 1)

[0293] 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."

[0294] Modern users, while interested in creating stories, lack environments that easily allow them to express their creativity. Furthermore, limited means of enjoying original stories visually and aurally create a need for effective tools to nurture children's creativity. Additionally, smoother processes are needed for sharing and re-editing created stories.

[0295] 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.

[0296] In this invention, the server includes means for receiving information from the user and transmitting that information to a generation device; means for the generation device to generate a story concept based on the user's input information; means for generating and presenting choices that the user can select based on the generated story concept; and means for presenting the story with audio and visual effects in response to user input. This makes it possible for users to easily create original stories and enjoy them interactively through audio and visual information.

[0297] "Means of obtaining information from the user" refers to the process of receiving data from the user, such as the story's theme or the user's age, and acquiring it through a terminal or other input device.

[0298] "Means for transmitting information to the generation device" refers to a communication method that transfers input information obtained from the user as data to the generation device and initiates the process for generating a story.

[0299] "A means of generating a story concept using a generation device" refers to an algorithm that uses a generation AI model to form and output an outline and main storyline based on user input information.

[0300] "Means for generating and presenting user-selectable options" refers to the process of providing, displaying, or presenting scenarios and characters that the user can choose from based on the generated narrative concept.

[0301] "Means of presenting a story through sound and visual effects" refers to means of providing the content of a generated story to the user as visual and auditory information through sound output devices, displays, etc.

[0302] "Means for saving and sharing narratives and visual information" refers to a system structure that records the content of generated narratives as digital data and has the function of sharing that data with other users and devices.

[0303] The system implementing this invention consists of three main elements: a terminal, a server, and a user.

[0304] The user uses a device to input the story's theme and their age information, which is temporarily stored as data. The device then transmits this data to the server. A data transfer protocol is used for this communication, allowing the server to receive the information accurately.

[0305] The server formulates a story concept by leveraging the generated AI model based on the received user data. This generated AI model is optimized according to the user's age and selected theme, and automatically devises plots and characters. From the generated story outline, the server presents the next developments and options to the user. An example of the prompt sentence here is "Generate an adventure story for children set in space."

[0306] The user checks the options presented through the terminal and selects an option to determine the progression of the story. Based on that selection, the server details the story with audio and visual effects. For this, visual information generation software (such as Unity or Unreal Engine, etc.) is used. The generated story and visual information are displayed on the terminal and provided to the user through audio output. As a specific example, when the user selects "lake", the server elaborately constructs an adventure scenario related to the lake.

[0307] After the story is completed, the user can perform re - editing as needed. For editing, it is possible to select new options or change existing information. The final story is saved on the terminal and shared with other terminals or users as needed. With this system, users can make use of their creativity and enjoy the story by leveraging visual and auditory information.

[0308] The flow of the specific process in Application Example 1 will be described using Figure 12.

[0309] Step 1:

[0310] The user operates the terminal and inputs information such as the theme and age of the story. This input information is temporarily saved in the terminal. The input data is converted into JSON format and is ready to be transmitted to the server as structured data.

[0311] Step 2:

[0312] The terminal sends input data to the server. The server receives this data and analyzes the input information. The received data is used as prompts for the generating AI model, which generates story plots and initial character designs based on the theme and age group, using a database. At this time, prompts such as "Generate a children's adventure story set in space" are used.

[0313] Step 3:

[0314] Based on the generated story summary, the server creates a list of choices to present to the user. These choices are displayed visually on the device. The choice data is encoded in JSON format and presented in a format that is easy for the user to understand intuitively.

[0315] Step 4:

[0316] The user uses a device to make a choice from the presented options that will influence the story's progression. The device then sends the selected data back to the server, and information based on the user's choices is passed to the server.

[0317] Step 5:

[0318] The server further refines the story content based on user selections. Visual generation software such as Unity or Unreal Engine is used to generate visual and audio information. Visual scene analysis and audio scenarios are assigned, and this data is sent to the terminal.

[0319] Step 6:

[0320] The terminal receives detailed story data from the server and presents visual and audio information to the user via an audio output device or display. At this time, the user can view the visual representation of the story and enjoy the story through audio.

[0321] Step 7:

[0322] If the user is satisfied with the final result of the generated story, they can use the device's save function to record the story and visual data. This information is kept in a format that can be shared with other users and devices. Users can re-edit this saved data as needed.

[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 is a story generation system that combines an emotion engine that recognizes the user's emotional state and optimizes story conception and choices based on that information. It mainly consists of the interaction between a terminal, a server, the emotion engine, and the user.

[0325] First, the user enters their age and themes of stories they are interested in via their device. The emotion engine then recognizes the user's emotional state through the device's camera and sensor functions. The emotion engine analyzes the user's facial expressions and tone of voice, acquiring emotional data in real time.

[0326] This information is sent from the device to the server. The server uses a generative AI model to generate a story concept that takes into account the user's age, theme, and emotional state. In this generation process, the story development and choices are dynamically adjusted based on how the user is currently feeling (e.g., excited, calm, anxious, etc.). For example, if the user is feeling anxious, the server can present calming and encouraging choices.

[0327] Next, the server transfers the generated story summary and choices to the terminal and presents them to the user. The user reviews the choices on the terminal and decides how to proceed with the story. At this time, the emotion engine monitors the user's state as needed and provides feedback to ensure that the choices match the user's expectations.

[0328] The selected content is sent to the server, and detailed visual information related to the story is generated. The generated content is presented to the user, saved on the device, and shared as needed. Furthermore, it includes a function that allows users to flexibly re-edit the story and visual information if they wish to make different choices.

[0329] For example, if a user chooses an adventure story and the emotion engine recognizes an excited state, the server will provide a plot with many dynamic action scenes. When the user selects the option "run up the mountain," the story unfolds while ensuring that the state confirmed by the emotion engine data is positive for that choice. This system enables a personalized creative experience that takes the user's emotions into account.

[0330] The following describes the processing flow.

[0331] Step 1:

[0332] The device displays a form for the user to enter their age and the theme of the story. The user enters this information. The device also uses its camera and sensors to collect the user's facial expressions and voice, preparing them for analysis by the emotion engine.

[0333] Step 2:

[0334] The emotion engine analyzes collected user facial and voice data to recognize the user's emotional state. For example, it can determine emotions such as joy, surprise, and sadness in real time from facial expressions. The determination results are then provided to the device as data.

[0335] Step 3:

[0336] The terminal integrates user input information with emotion data from the emotion engine and sends it to the server. The server receives this data and begins analysis.

[0337] Step 4:

[0338] The server utilizes a generative AI model to generate story concepts based on user information (age, theme, and emotional state). It designs plots that resonate with the user's emotions to ensure enjoyment.

[0339] Step 5:

[0340] The server creates specific choices based on the generated story concept and sends them to the user's terminal for presentation. These choices often include content that corresponds to the recognized emotions of the user.

[0341] Step 6:

[0342] The user views the options presented on the device and chooses the desired progression of the story. The device then records this choice and sends it to the server.

[0343] Step 7:

[0344] The server dynamically generates detailed stories and visual information based on user choices. It also optimizes content to reflect changes in emotional state.

[0345] Step 8:

[0346] The device displays the generated story and visual information to the user. The user reviews the content and chooses to save or re-edit the results. Options for saving and sharing are also provided.

[0347] This system enables a compelling narrative experience that reflects the user's emotions in real time.

[0348] (Example 2)

[0349] 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".

[0350] Conventional story generation systems lacked sufficient dynamic story construction that took into account the user's emotional state, making it difficult to provide a personalized experience for each user. In particular, the limited provision of choices that reflected the emotions the user was feeling at the time, and the limited flexibility in reconstructing the story, made it difficult to increase user satisfaction.

[0351] 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.

[0352] In this invention, the server includes information input means for acquiring data from the user, emotion recognition means for analyzing the user's emotional state using the terminal's camera and sensors, and means for generating a story concept using a generative model based on the user's data and emotional state. This enables the generation of personalized stories that respond to the user's emotions in real time.

[0353] An "information input means" is a system component for acquiring data from a user.

[0354] "Emotion recognition means" refers to a function that analyzes the user's emotional state using the terminal's camera or sensors.

[0355] A "generative model" is an algorithm used to generate story concepts based on user data and emotional states.

[0356] "A story concept" is a collection of ideas that constitute the plot and setting of a story, generated based on user input and emotional state.

[0357] "Options" refer to multiple possible actions or developments presented to the user based on the generated narrative concept.

[0358] "Visual content" refers to detailed visual elements generated in connection with the creation of a narrative.

[0359] A "server" is a central computing device that processes information and generates stories based on data sent by users.

[0360] A "terminal" is a device used by a user that performs information input, emotion recognition, and communicates with a server as an interface.

[0361] This invention is a narrative generation system that takes into account the user's emotional state, and mainly consists of the interaction of a terminal, a server, an emotion recognition means, and a generation AI model.

[0362] The device is equipped with an information input mechanism for the user to enter their age and areas of interest. The user enters this information through the screen, setting the basis for the entire story. The device also has a camera and sensors that function as emotion recognition mechanisms. These emotion recognition mechanisms analyze the user's emotional state in real time using facial expressions, tone of voice, and other factors.

[0363] This emotional state data and user input information are sent from the terminal to the server. Based on this information, the server dynamically generates a story concept using a generative AI model. The generative AI model constructs an appropriate story by considering the user's age, themes of interest, and prompts corresponding to their current emotional state.

[0364] As a concrete example, suppose a user chooses "fantasy adventure story" as their theme, and the emotion recognition system detects the user's "excited state." In this case, the server, based on its generative AI model, generates a story containing many action-packed scenes, using prompts such as, "Think of the next development that will evoke excitement in this fantasy adventure story."

[0365] Ultimately, the generated story concept and associated visual content are presented to the user through the device. Users can advance the story through the provided choices, or re-edit the story by selecting their favorite elements. In this way, it is possible to provide a personalized creative experience that responds to the user's real-time emotions.

[0366] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0367] Step 1:

[0368] The user inputs information using a terminal. Here, the user enters their age and preferred story themes through the terminal's interface. This input information becomes the basic data needed for the next processing step. The output consists of a dataset containing the user's personal information.

[0369] Step 2:

[0370] The device analyzes the user's emotional state using its camera and sensors. The device analyzes the user's facial expressions and voice tone in real time through its camera and voice input functions using emotion recognition mechanisms. The processed data is output as emotion data, indicating the user's emotional state (e.g., excitement, anxiety).

[0371] Step 3:

[0372] The terminal transmits user-inputted information and emotional states to the server. This data is then aggregated at a central processing station. The output is delivered to the server as a data package containing user information and emotional data.

[0373] Step 4:

[0374] The server generates story concepts using a generative AI model based on aggregated data. User information and emotion data are supplied to the AI ​​model as input, in the form of the prompt "Generate a story for an excited 18-year-old user." The AI ​​model considers the optimal story development based on the user's characteristics and generates an appropriate story concept. As output, the storyline is generated and recorded.

[0375] Step 5:

[0376] The server generates a summary of the generated story, along with choices that the user can select, and sends them to the terminal. The server generates a variety of possible developments based on the story's storyline and provides them to the terminal. The output is a story summary with choices tailored for the user.

[0377] Step 6:

[0378] The user selects their preferred option from the choices presented on the device. The device then reflects the user's preferences based on this selection. The selected information leads to processing in the next step. The output confirms the selection information based on the user's choice.

[0379] Step 7:

[0380] The user sends their selection information to the server, which then generates related visual content. The server uses this information to generate detailed visual elements to enhance the user experience. The output consists of visual content related to the completed story scene.

[0381] Step 8:

[0382] The device stores the generated story and visual content, allowing users to share it with others as needed. The device stores the saved content in internal memory or cloud storage, providing sharing options. Ultimately, the complete story experience is consolidated in the user's hands.

[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] While modern story generation systems can generate diverse narratives based on user input, they still fall short in their ability to interactively customize stories by considering the user's emotional state. There is a need to provide more personalized stories that take into account the impact of user emotions on the narrative experience. Traditional systems have been unable to dynamically optimize story details based on real-time emotional feedback from users.

[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 means for receiving information from the user and transmitting that information to an information processing device; means for generating a story concept using the information processing device based on the user's input information and emotional information; and means for recognizing the user's emotional state in real time and optimizing the story and visual information based on the recognized emotions. This enables dynamic story generation tailored to the individual emotional state of the user.

[0388] An "information processing device" is a device that processes information received from a user and has the function of generating a story concept.

[0389] "Emotional information" refers to data that indicates a user's emotional state, and is obtained from information such as facial expressions and tone of voice.

[0390] "Story conception" refers to a plan that defines the overall framework and development of the story, and is generated based on user input and emotions.

[0391] "Real-time recognition" means instantly analyzing and reflecting the user's emotional state on the spot.

[0392] "Visual information" refers to images and video data related to a story, which are optimized based on the user's emotions.

[0393] "Dynamic optimization" means updating the content in response to the user's emotions and choices, and adjusting it to the optimal form each time.

[0394] A "personalized story" is a narrative that is customized based on the preferences and emotions of a particular user.

[0395] The system for implementing this invention includes a process for generating personalized stories using user input information and emotional information. Specifically, the user inputs their age and preferred themes using a device. This device is also equipped with a camera and microphone, allowing it to acquire emotional information in real time from facial expressions and voice tone.

[0396] The device sends acquired emotional information and user input information to the server. The server analyzes the user's emotional state using software such as Python or OpenCV, and based on this, generates a story concept using a generative AI model. In this generation process, for example, if the user is in a state of concentration, a story with strong mystery elements will be provided.

[0397] The server sends the generated story concept to the user's device, which then presents it to the user. Once the user makes a decision about the story's progression, the device again checks their emotional state and sends feedback to the server. Based on this feedback, the server dynamically adjusts the story and generates optimized visual information.

[0398] By implementing this system, users can obtain a dynamic story generation experience tailored to their individual emotional state. For example, by inputting the prompt, "Create a mystery story best suited to a focused user," into the generation AI model, a story can be generated. This allows users to experience a story that meets their expectations.

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

[0400] Step 1:

[0401] The device prompts the user for information such as age and areas of interest. This input data is treated as basic information necessary for generating the user's narrative. The device also uses its camera and microphone to capture the user's facial expressions and voice tone in real time, sending this emotional information to the server. In this process, the input is the user's profile information, and the output is an initial dataset for analysis.

[0402] Step 2:

[0403] The server processes user input information and emotion information received from the terminal. Here, the server analyzes the emotion information using Python or OpenCV to determine the user's emotional state. The input is raw data indicating the user's emotional state, and the server performs data analysis to output a result indicating what emotional state the user is in (e.g., excited, calm, etc.).

[0404] Step 3:

[0405] The server passes the analyzed emotional state and input information to the generating AI model to generate a story concept. In this generation process, for example, a prompt such as "Create a mystery story best suited to a focused user" is input to the AI ​​model, and a personalized story plot is output. As a result, the generating AI model constructs the optimal story tailored to the user's state.

[0406] Step 4:

[0407] The server sends the generated story plot to the terminal. The terminal presents this story plan to the user, allowing the user to decide how the story progresses from several options. The input here is the generated story plot, and the output is the information presented to the user.

[0408] Step 5:

[0409] The user selects an option presented through the device, and this selection information is sent back from the device to the server. The device verifies whether the user's selection is appropriate for their current emotional state, and sends the most suitable option as output to the server.

[0410] Step 6:

[0411] The server optimizes the story and visual information based on the selection information received from the user. The server generates new visual content based on the selected story and sends it to the terminal. The input is the user's selection information, and the output is the improved story and visual information.

[0412] Step 7:

[0413] The device ultimately presents the generated story and visual information to the user, completing the narrative experience. The generated content can be saved on the device and shared with other platforms as needed. The input is the final output data from the server, while the presentation to the user and saving are the outputs.

[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 is a system that allows users to easily create original stories and save and share them along with visual information. This system consists of three main elements: a terminal, a server, and the user.

[0431] First, the user uses their device to input information such as their age and the theme of the story. The device temporarily stores this information and prepares to send it to the server. This information is essential for generating the story.

[0432] Next, the server uses its generation equipment to generate a story outline based on the information it receives. This outline generation uses a generation AI model to automatically generate a plot and characters optimized for the user's age and selected theme. Based on the generated story outline, the server then provides the user with multiple choices.

[0433] The user reviews the options presented through their device and selects one that will determine the story's progression. This selection will influence the narrative's development and depiction. After the user's selection is made, the server further refines the story and visual information based on the choice, generating specific content.

[0434] The generated story and visual information are presented to the user via the device. The user can review the results and re-edit them as needed. Once edited, the user can save the finished content to the device and share it with other users or devices.

[0435] As a concrete example, let's consider an adventure story for a five-year-old. If the user selects the themes "animals as the main characters" and "adventure," the server generates a suitable plot and presents three scenes as options, such as "forest," "lake," and "mountain." If the user selects "lake," the server generates a detailed scenario and visuals of an adventure related to the lake and provides them to the user.

[0436] In this way, the system supports the user in creating stories and visual information in an effective and intuitive manner.

[0437] The following describes the processing flow.

[0438] Step 1:

[0439] The device displays a screen where the user can enter basic information such as age and preferred themes (e.g., adventure, fantasy). The user enters this information, and the device temporarily saves it.

[0440] Step 2:

[0441] The terminal sends the saved user information to the server. The server analyzes the received data and prepares to call the generated AI model.

[0442] Step 3:

[0443] The server uses a generative AI model to generate story concepts based on user information. In this process, it automatically creates plots and characters that align with the user's age and themes.

[0444] Step 4:

[0445] The server generates choices for specific scenes and plot developments based on the generated story concept. These choices are then sent to the terminal and displayed to the user.

[0446] Step 5:

[0447] The user reviews the options presented on their device and decides which option they want to choose. The device then sends this choice to the server.

[0448] Step 6:

[0449] The server generates more detailed story sections and visual information based on the user's selections. This includes character actions and background illustrations that align with the chosen scenes.

[0450] Step 7:

[0451] The device presents the generated story and visual information to the user for review. The user can then choose to make further edits as needed.

[0452] Step 8:

[0453] When a user completes a picture book, the device will present an option to save its contents and save the data according to the user's instructions. It will also prepare to convert and save the data in a format that can be shared with other users and devices.

[0454] (Example 1)

[0455] 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."

[0456] There is a need for a system that can meet the diverse needs of today's world, allowing users to create personalized stories based on their preferences and attributes, and easily generate, save, and share the visual information associated with those stories. In particular, there is a need for an environment that allows users to intuitively and flexibly participate in the process of selecting stories.

[0457] 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.

[0458] In this invention, the server includes means for collecting attribute data from users and transmitting said data to a computing device, means for the computing device to automatically create a story design based on the user's attribute data, and means for presenting selectable branches to the user based on the created story design. This enables users to efficiently generate stories that suit their preferences and age, and to flexibly edit and share the resulting works.

[0459] "User" refers to an entity that uses a story generation system to generate, edit, and share stories and visual information.

[0460] "Attribute data" refers to input information that is considered when generating a story, such as the user's age, theme, and preferences.

[0461] A "computational device" refers to a device that has a hardware or software configuration that processes information based on received attribute data and automatically generates a story.

[0462] "Story design" refers to basic information such as the plot and character structure of a story that is automatically generated by a generator.

[0463] "Branching" refers to the different story development patterns that users can choose from in the design of the generated narrative.

[0464] "Visual information" refers to visual content such as illustrations and images related to the generated story.

[0465] "Recording" refers to the act of saving generated stories and visual information as digital data.

[0466] "Sharing" refers to the act of transmitting generated or edited stories or visual information to other users or devices via communication, making them viewable.

[0467] The following describes specific embodiments for carrying out the present invention.

[0468] First, the user uses a device to input attribute data for story generation. This data includes the user's age, the story's theme, preferences, etc., and is temporarily stored on the device. The device used here is a common information processing device such as a personal computer or smartphone.

[0469] Next, the terminal sends the temporarily stored attribute data to the server. The server receives this data and uses a generative AI model to design the story. This generative AI model employs a model with advanced natural language processing capabilities, such as technologies like "GPT-3" and "Stable Diffusion." An example of a prompt message would be, "Generate an adventure story for a 5-year-old child, featuring animals as the main characters."

[0470] Based on the generated story design, the server determines multiple branching paths that the user can choose from and sends them to the terminal. The terminal presents these options to the user, who can then select one that will influence the story's progression. The selected information is sent back to the server, where more detailed story and visual information are generated. Generative AI models such as "Stable Diffusion" are used to generate the visual information.

[0471] Ultimately, users can review the generated story and visual information on their device and edit it as needed. The edited content can be saved on the device and shared with other users and devices. This creates a system that provides stories and visual experiences tailored to each user's individual needs.

[0472] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0473] Step 1:

[0474] The user uses a device to input attribute data necessary for story generation. Specifically, this includes the user's age, the story's theme, and their preferences. The device temporarily stores this data in memory. This input information is used as foundational data for subsequent processing.

[0475] Step 2:

[0476] The terminal prepares to send the stored attribute data to the server. In this process, the data is structured and formatted according to the communication protocol. As output, data packets are generated for secure transmission of the attribute data to the server.

[0477] Step 3:

[0478] The server receives attribute data sent from the terminal. Based on the received data, the server utilizes a generative AI model to automatically generate a story design that is optimal for the user's attributes. Multiple algorithms operate as part of the data calculation, and the plot and characters are designed based on the prompt text. The generated output is basic story design information.

[0479] Step 4:

[0480] Based on the generated story design, the server determines multiple story branches that the user can choose from. During this process, branching points that consider diverse story developments are identified and sent to the terminal along with visual information. The output is a visually organized list of choices to prompt the user to make a decision.

[0481] Step 5:

[0482] The user reviews the options provided via their device and selects their desired story branch. The selected information is then fed back to the server via the device. The user's selection is recorded as new input.

[0483] Step 6:

[0484] The server generates more detailed narratives and visual information based on the user's selections. This process utilizes high-performance image generation algorithms for visual information generation. The output consists of specific scenario details and associated visual content.

[0485] Step 7:

[0486] Users can review the generated story and visual information on their device and make corrections as needed. Editing tools are available to adjust the story and images. The edited data is saved on the device.

[0487] Step 8:

[0488] Users save their completed stories and visual information to their devices and share them with other users and devices. This process involves storing the data in a save folder and converting it into a format shareable via communication apps or email. The output consists of the saved data file and a sharing link.

[0489] (Application Example 1)

[0490] 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."

[0491] Modern users, while interested in creating stories, lack environments that easily allow them to express their creativity. Furthermore, limited means of enjoying original stories visually and aurally create a need for effective tools to nurture children's creativity. Additionally, smoother processes are needed for sharing and re-editing created stories.

[0492] 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.

[0493] In this invention, the server includes means for receiving information from the user and transmitting that information to a generation device; means for the generation device to generate a story concept based on the user's input information; means for generating and presenting choices that the user can select based on the generated story concept; and means for presenting the story with audio and visual effects in response to user input. This makes it possible for users to easily create original stories and enjoy them interactively through audio and visual information.

[0494] "Means of obtaining information from the user" refers to the process of receiving data from the user, such as the story's theme or the user's age, and acquiring it through a terminal or other input device.

[0495] "Means for transmitting information to the generation device" refers to a communication method that transfers input information obtained from the user as data to the generation device and initiates the process for generating a story.

[0496] "A means of generating a story concept using a generation device" refers to an algorithm that uses a generation AI model to form and output an outline and main storyline based on user input information.

[0497] "Means for generating and presenting user-selectable options" refers to the process of providing, displaying, or presenting scenarios and characters that the user can choose from based on the generated narrative concept.

[0498] "Means of presenting a story through sound and visual effects" refers to means of providing the content of a generated story to the user as visual and auditory information through sound output devices, displays, etc.

[0499] "Means for saving and sharing narratives and visual information" refers to a system structure that records the content of generated narratives as digital data and has the function of sharing that data with other users and devices.

[0500] The system implementing this invention consists of three main elements: a terminal, a server, and a user.

[0501] The user uses a device to input the story's theme and their age information, which is temporarily stored as data. The device then transmits this data to the server. A data transfer protocol is used for this communication, allowing the server to receive the information accurately.

[0502] The server uses a generative AI model based on the user's data to formulate a story concept. This generative AI model is optimized according to the user's age and selected theme, and automatically devises plots and characters. From the generated story outline, the server presents the user with further developments and choices. An example of a prompt here would be, "Generate a children's adventure story set in space."

[0503] The user reviews the options presented through the terminal and selects one that determines the progression of the story. Based on this selection, the server elaborates on the story with audio and visual effects. Visual information generation software (such as Unity or Unreal Engine) is used for this. The generated story and visual information are displayed on the terminal and provided to the user through audio output. For example, if the user selects "Lake," the server will construct a detailed adventure scenario related to the lake.

[0504] After completing a story, users can re-edit it as needed. Editing allows for the selection of new options and modification of existing information. The final story is saved on the device and can be shared with other devices and users as needed. This system allows users to unleash their creativity and enjoy stories using both visual and auditory information.

[0505] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0506] Step 1:

[0507] The user operates the device and enters information such as the story's theme and age. This input information is temporarily stored on the device. The entered data is converted to JSON format and prepared to be sent to the server as structured data.

[0508] Step 2:

[0509] The terminal sends input data to the server. The server receives this data and analyzes the input information. The received data is used as prompts for the generating AI model, which generates story plots and initial character designs based on the theme and age group, using a database. At this time, prompts such as "Generate a children's adventure story set in space" are used.

[0510] Step 3:

[0511] Based on the generated story summary, the server creates a list of choices to present to the user. These choices are displayed visually on the device. The choice data is encoded in JSON format and presented in a format that is easy for the user to understand intuitively.

[0512] Step 4:

[0513] The user uses a device to make a choice from the presented options that will influence the story's progression. The device then sends the selected data back to the server, and information based on the user's choices is passed to the server.

[0514] Step 5:

[0515] The server further refines the story content based on user selections. Visual generation software such as Unity or Unreal Engine is used to generate visual and audio information. Visual scene analysis and audio scenarios are assigned, and this data is sent to the terminal.

[0516] Step 6:

[0517] The terminal receives detailed story data from the server and presents visual and audio information to the user via an audio output device or display. At this time, the user can view the visual representation of the story and enjoy the story through audio.

[0518] Step 7:

[0519] If the user is satisfied with the final result of the generated story, they can use the device's save function to record the story and visual data. This information is kept in a format that can be shared with other users and devices. Users can re-edit this saved data as needed.

[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 is a story generation system that combines an emotion engine that recognizes the user's emotional state and optimizes story conception and choices based on that information. It mainly consists of the interaction between a terminal, a server, the emotion engine, and the user.

[0522] First, the user enters their age and themes of stories they are interested in via their device. The emotion engine then recognizes the user's emotional state through the device's camera and sensor functions. The emotion engine analyzes the user's facial expressions and tone of voice, acquiring emotional data in real time.

[0523] This information is sent from the device to the server. The server uses a generative AI model to generate a story concept that takes into account the user's age, theme, and emotional state. In this generation process, the story development and choices are dynamically adjusted based on how the user is currently feeling (e.g., excited, calm, anxious, etc.). For example, if the user is feeling anxious, the server can present calming and encouraging choices.

[0524] Next, the server transfers the generated story summary and choices to the terminal and presents them to the user. The user reviews the choices on the terminal and decides how to proceed with the story. At this time, the emotion engine monitors the user's state as needed and provides feedback to ensure that the choices match the user's expectations.

[0525] The selected content is sent to the server, and detailed visual information related to the story is generated. The generated content is presented to the user, saved on the device, and shared as needed. Furthermore, it includes a function that allows users to flexibly re-edit the story and visual information if they wish to make different choices.

[0526] For example, if a user chooses an adventure story and the emotion engine recognizes an excited state, the server will provide a plot with many dynamic action scenes. When the user selects the option "run up the mountain," the story unfolds while ensuring that the state confirmed by the emotion engine data is positive for that choice. This system enables a personalized creative experience that takes the user's emotions into account.

[0527] The following describes the processing flow.

[0528] Step 1:

[0529] The device displays a form for the user to enter their age and the theme of the story. The user enters this information. The device also uses its camera and sensors to collect the user's facial expressions and voice, preparing them for analysis by the emotion engine.

[0530] Step 2:

[0531] The emotion engine analyzes collected user facial and voice data to recognize the user's emotional state. For example, it can determine emotions such as joy, surprise, and sadness in real time from facial expressions. The determination results are then provided to the device as data.

[0532] Step 3:

[0533] The terminal integrates user input information with emotion data from the emotion engine and sends it to the server. The server receives this data and begins analysis.

[0534] Step 4:

[0535] The server utilizes a generative AI model to generate story concepts based on user information (age, theme, and emotional state). It designs plots that resonate with the user's emotions to ensure enjoyment.

[0536] Step 5:

[0537] The server creates specific choices based on the generated story concept and sends them to the user's terminal for presentation. These choices often include content that corresponds to the recognized emotions of the user.

[0538] Step 6:

[0539] The user views the options presented on the device and chooses the desired progression of the story. The device then records this choice and sends it to the server.

[0540] Step 7:

[0541] The server dynamically generates detailed stories and visual information based on user choices. It also optimizes content to reflect changes in emotional state.

[0542] Step 8:

[0543] The device displays the generated story and visual information to the user. The user reviews the content and chooses to save or re-edit the results. Options for saving and sharing are also provided.

[0544] This system enables a compelling narrative experience that reflects the user's emotions in real time.

[0545] (Example 2)

[0546] 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."

[0547] Conventional story generation systems lacked sufficient dynamic story construction that took into account the user's emotional state, making it difficult to provide a personalized experience for each user. In particular, the limited provision of choices that reflected the emotions the user was feeling at the time, and the limited flexibility in reconstructing the story, made it difficult to increase user satisfaction.

[0548] 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.

[0549] In this invention, the server includes information input means for acquiring data from the user, emotion recognition means for analyzing the user's emotional state using the terminal's camera and sensors, and means for generating a story concept using a generative model based on the user's data and emotional state. This enables the generation of personalized stories that respond to the user's emotions in real time.

[0550] An "information input means" is a system component for acquiring data from a user.

[0551] "Emotion recognition means" refers to a function that analyzes the user's emotional state using the terminal's camera or sensors.

[0552] A "generative model" is an algorithm used to generate story concepts based on user data and emotional states.

[0553] "A story concept" is a collection of ideas that constitute the plot and setting of a story, generated based on user input and emotional state.

[0554] "Options" refer to multiple possible actions or developments presented to the user based on the generated narrative concept.

[0555] "Visual content" refers to detailed visual elements generated in connection with the creation of a narrative.

[0556] A "server" is a central computing device that processes information and generates stories based on data sent by users.

[0557] A "terminal" is a device used by a user that performs information input, emotion recognition, and communicates with a server as an interface.

[0558] This invention is a narrative generation system that takes into account the user's emotional state, and mainly consists of the interaction of a terminal, a server, an emotion recognition means, and a generation AI model.

[0559] The device is equipped with an information input mechanism for the user to enter their age and areas of interest. The user enters this information through the screen, setting the basis for the entire story. The device also has a camera and sensors that function as emotion recognition mechanisms. These emotion recognition mechanisms analyze the user's emotional state in real time using facial expressions, tone of voice, and other factors.

[0560] This emotional state data and user input information are sent from the terminal to the server. Based on this information, the server dynamically generates a story concept using a generative AI model. The generative AI model constructs an appropriate story by considering the user's age, themes of interest, and prompts corresponding to their current emotional state.

[0561] As a concrete example, suppose a user chooses "fantasy adventure story" as their theme, and the emotion recognition system detects the user's "excited state." In this case, the server, based on its generative AI model, generates a story containing many action-packed scenes, using prompts such as, "Think of the next development that will evoke excitement in this fantasy adventure story."

[0562] Ultimately, the generated story concept and associated visual content are presented to the user through the device. Users can advance the story through the provided choices, or re-edit the story by selecting their favorite elements. In this way, it is possible to provide a personalized creative experience that responds to the user's real-time emotions.

[0563] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0564] Step 1:

[0565] The user inputs information using a terminal. Here, the user enters their age and preferred story themes through the terminal's interface. This input information becomes the basic data needed for the next processing step. The output consists of a dataset containing the user's personal information.

[0566] Step 2:

[0567] The device analyzes the user's emotional state using its camera and sensors. The device analyzes the user's facial expressions and voice tone in real time through its camera and voice input functions using emotion recognition mechanisms. The processed data is output as emotion data, indicating the user's emotional state (e.g., excitement, anxiety).

[0568] Step 3:

[0569] The terminal transmits user-inputted information and emotional states to the server. This data is then aggregated at a central processing station. The output is delivered to the server as a data package containing user information and emotional data.

[0570] Step 4:

[0571] The server generates story concepts using a generative AI model based on aggregated data. User information and emotion data are supplied to the AI ​​model as input, in the form of the prompt "Generate a story for an excited 18-year-old user." The AI ​​model considers the optimal story development based on the user's characteristics and generates an appropriate story concept. As output, the storyline is generated and recorded.

[0572] Step 5:

[0573] The server generates a summary of the generated story, along with choices that the user can select, and sends them to the terminal. The server generates a variety of possible developments based on the story's storyline and provides them to the terminal. The output is a story summary with choices tailored for the user.

[0574] Step 6:

[0575] The user selects their preferred option from the choices presented on the device. The device then reflects the user's preferences based on this selection. The selected information leads to processing in the next step. The output confirms the selection information based on the user's choice.

[0576] Step 7:

[0577] The user sends their selection information to the server, which then generates related visual content. The server uses this information to generate detailed visual elements to enhance the user experience. The output consists of visual content related to the completed story scene.

[0578] Step 8:

[0579] The device stores the generated story and visual content, allowing users to share it with others as needed. The device stores the saved content in internal memory or cloud storage, providing sharing options. Ultimately, the complete story experience is consolidated in the user's hands.

[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] While modern story generation systems can generate diverse narratives based on user input, they still fall short in their ability to interactively customize stories by considering the user's emotional state. There is a need to provide more personalized stories that take into account the impact of user emotions on the narrative experience. Traditional systems have been unable to dynamically optimize story details based on real-time emotional feedback from users.

[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 means for receiving information from the user and transmitting that information to an information processing device; means for generating a story concept using the information processing device based on the user's input information and emotional information; and means for recognizing the user's emotional state in real time and optimizing the story and visual information based on the recognized emotions. This enables dynamic story generation tailored to the individual emotional state of the user.

[0585] An "information processing device" is a device that processes information received from a user and has the function of generating a story concept.

[0586] "Emotional information" refers to data that indicates a user's emotional state, and is obtained from information such as facial expressions and tone of voice.

[0587] "Story conception" refers to a plan that defines the overall framework and development of the story, and is generated based on user input and emotions.

[0588] "Real-time recognition" means instantly analyzing and reflecting the user's emotional state on the spot.

[0589] "Visual information" refers to images and video data related to a story, which are optimized based on the user's emotions.

[0590] "Dynamic optimization" means updating the content in response to the user's emotions and choices, and adjusting it to the optimal form each time.

[0591] A "personalized story" is a narrative that is customized based on the preferences and emotions of a particular user.

[0592] The system for implementing this invention includes a process for generating personalized stories using user input information and emotional information. Specifically, the user inputs their age and preferred themes using a device. This device is also equipped with a camera and microphone, allowing it to acquire emotional information in real time from facial expressions and voice tone.

[0593] The device sends acquired emotional information and user input information to the server. The server analyzes the user's emotional state using software such as Python or OpenCV, and based on this, generates a story concept using a generative AI model. In this generation process, for example, if the user is in a state of concentration, a story with strong mystery elements will be provided.

[0594] The server sends the generated story concept to the user's device, which then presents it to the user. Once the user makes a decision about the story's progression, the device again checks their emotional state and sends feedback to the server. Based on this feedback, the server dynamically adjusts the story and generates optimized visual information.

[0595] By implementing this system, users can obtain a dynamic story generation experience tailored to their individual emotional state. For example, by inputting the prompt, "Create a mystery story best suited to a focused user," into the generation AI model, a story can be generated. This allows users to experience a story that meets their expectations.

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

[0597] Step 1:

[0598] The device prompts the user for information such as age and areas of interest. This input data is treated as basic information necessary for generating the user's narrative. The device also uses its camera and microphone to capture the user's facial expressions and voice tone in real time, sending this emotional information to the server. In this process, the input is the user's profile information, and the output is an initial dataset for analysis.

[0599] Step 2:

[0600] The server processes user input information and emotion information received from the terminal. Here, the server analyzes the emotion information using Python or OpenCV to determine the user's emotional state. The input is raw data indicating the user's emotional state, and the server performs data analysis to output a result indicating what emotional state the user is in (e.g., excited, calm, etc.).

[0601] Step 3:

[0602] The server passes the analyzed emotional state and input information to the generating AI model to generate a story concept. In this generation process, for example, a prompt such as "Create a mystery story best suited to a focused user" is input to the AI ​​model, and a personalized story plot is output. As a result, the generating AI model constructs the optimal story tailored to the user's state.

[0603] Step 4:

[0604] The server sends the generated story plot to the terminal. The terminal presents this story plan to the user, allowing the user to decide how the story progresses from several options. The input here is the generated story plot, and the output is the information presented to the user.

[0605] Step 5:

[0606] The user selects an option presented through the device, and this selection information is sent back from the device to the server. The device verifies whether the user's selection is appropriate for their current emotional state, and sends the most suitable option as output to the server.

[0607] Step 6:

[0608] The server optimizes the story and visual information based on the selection information received from the user. The server generates new visual content based on the selected story and sends it to the terminal. The input is the user's selection information, and the output is the improved story and visual information.

[0609] Step 7:

[0610] The device ultimately presents the generated story and visual information to the user, completing the narrative experience. The generated content can be saved on the device and shared with other platforms as needed. The input is the final output data from the server, while the presentation to the user and saving are the outputs.

[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 is a system that allows users to easily create original stories and save and share them along with visual information. This system consists of three main elements: a terminal, a server, and the user.

[0629] First, the user uses their device to input information such as their age and the theme of the story. The device temporarily stores this information and prepares to send it to the server. This information is essential for generating the story.

[0630] Next, the server uses its generation equipment to generate a story outline based on the information it receives. This outline generation uses a generation AI model to automatically generate a plot and characters optimized for the user's age and selected theme. Based on the generated story outline, the server then provides the user with multiple choices.

[0631] The user reviews the options presented through their device and selects one that will determine the story's progression. This selection will influence the narrative's development and depiction. After the user's selection is made, the server further refines the story and visual information based on the choice, generating specific content.

[0632] The generated story and visual information are presented to the user via the device. The user can review the results and re-edit them as needed. Once edited, the user can save the finished content to the device and share it with other users or devices.

[0633] As a concrete example, let's consider an adventure story for a five-year-old. If the user selects the themes "animals as the main characters" and "adventure," the server generates a suitable plot and presents three scenes as options, such as "forest," "lake," and "mountain." If the user selects "lake," the server generates a detailed scenario and visuals of an adventure related to the lake and provides them to the user.

[0634] In this way, the system supports the user in creating stories and visual information in an effective and intuitive manner.

[0635] The following describes the processing flow.

[0636] Step 1:

[0637] The device displays a screen where the user can enter basic information such as age and preferred themes (e.g., adventure, fantasy). The user enters this information, and the device temporarily saves it.

[0638] Step 2:

[0639] The terminal sends the saved user information to the server. The server analyzes the received data and prepares to call the generated AI model.

[0640] Step 3:

[0641] The server uses a generative AI model to generate story concepts based on user information. In this process, it automatically creates plots and characters that align with the user's age and themes.

[0642] Step 4:

[0643] The server generates choices for specific scenes and plot developments based on the generated story concept. These choices are then sent to the terminal and displayed to the user.

[0644] Step 5:

[0645] The user reviews the options presented on their device and decides which option they want to choose. The device then sends this choice to the server.

[0646] Step 6:

[0647] The server generates more detailed story sections and visual information based on the user's selections. This includes character actions and background illustrations that align with the chosen scenes.

[0648] Step 7:

[0649] The device presents the generated story and visual information to the user for review. The user can then choose to make further edits as needed.

[0650] Step 8:

[0651] When a user completes a picture book, the device will present an option to save its contents and save the data according to the user's instructions. It will also prepare to convert and save the data in a format that can be shared with other users and devices.

[0652] (Example 1)

[0653] 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".

[0654] There is a need for a system that can meet the diverse needs of today's world, allowing users to create personalized stories based on their preferences and attributes, and easily generate, save, and share the visual information associated with those stories. In particular, there is a need for an environment that allows users to intuitively and flexibly participate in the process of selecting stories.

[0655] 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.

[0656] In this invention, the server includes means for collecting attribute data from users and transmitting said data to a computing device, means for the computing device to automatically create a story design based on the user's attribute data, and means for presenting selectable branches to the user based on the created story design. This enables users to efficiently generate stories that suit their preferences and age, and to flexibly edit and share the resulting works.

[0657] "User" refers to an entity that uses a story generation system to generate, edit, and share stories and visual information.

[0658] "Attribute data" refers to input information that is considered when generating a story, such as the user's age, theme, and preferences.

[0659] A "computational device" refers to a device that has a hardware or software configuration that processes information based on received attribute data and automatically generates a story.

[0660] "Story design" refers to basic information such as the plot and character structure of a story that is automatically generated by a generator.

[0661] "Branching" refers to the different story development patterns that users can choose from in the design of the generated narrative.

[0662] "Visual information" refers to visual content such as illustrations and images related to the generated story.

[0663] "Recording" refers to the act of saving generated stories and visual information as digital data.

[0664] "Sharing" refers to the act of transmitting generated or edited stories or visual information to other users or devices via communication, making them viewable.

[0665] The following describes specific embodiments for carrying out the present invention.

[0666] First, the user uses a device to input attribute data for story generation. This data includes the user's age, the story's theme, preferences, etc., and is temporarily stored on the device. The device used here is a common information processing device such as a personal computer or smartphone.

[0667] Next, the terminal sends the temporarily stored attribute data to the server. The server receives this data and uses a generative AI model to design the story. This generative AI model employs a model with advanced natural language processing capabilities, such as technologies like "GPT-3" and "Stable Diffusion." An example of a prompt message would be, "Generate an adventure story for a 5-year-old child, featuring animals as the main characters."

[0668] Based on the generated story design, the server determines multiple branching paths that the user can choose from and sends them to the terminal. The terminal presents these options to the user, who can then select one that will influence the story's progression. The selected information is sent back to the server, where more detailed story and visual information are generated. Generative AI models such as "Stable Diffusion" are used to generate the visual information.

[0669] Ultimately, users can review the generated story and visual information on their device and edit it as needed. The edited content can be saved on the device and shared with other users and devices. This creates a system that provides stories and visual experiences tailored to each user's individual needs.

[0670] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0671] Step 1:

[0672] The user uses a device to input attribute data necessary for story generation. Specifically, this includes the user's age, the story's theme, and their preferences. The device temporarily stores this data in memory. This input information is used as foundational data for subsequent processing.

[0673] Step 2:

[0674] The terminal prepares to send the stored attribute data to the server. In this process, the data is structured and formatted according to the communication protocol. As output, data packets are generated for secure transmission of the attribute data to the server.

[0675] Step 3:

[0676] The server receives attribute data sent from the terminal. Based on the received data, the server utilizes a generative AI model to automatically generate a story design that is optimal for the user's attributes. Multiple algorithms operate as part of the data calculation, and the plot and characters are designed based on the prompt text. The generated output is basic story design information.

[0677] Step 4:

[0678] Based on the generated story design, the server determines multiple story branches that the user can choose from. During this process, branching points that consider diverse story developments are identified and sent to the terminal along with visual information. The output is a visually organized list of choices to prompt the user to make a decision.

[0679] Step 5:

[0680] The user reviews the options provided via their device and selects their desired story branch. The selected information is then fed back to the server via the device. The user's selection is recorded as new input.

[0681] Step 6:

[0682] The server generates more detailed narratives and visual information based on the user's selections. This process utilizes high-performance image generation algorithms for visual information generation. The output consists of specific scenario details and associated visual content.

[0683] Step 7:

[0684] Users can review the generated story and visual information on their device and make corrections as needed. Editing tools are available to adjust the story and images. The edited data is saved on the device.

[0685] Step 8:

[0686] Users save their completed stories and visual information to their devices and share them with other users and devices. This process involves storing the data in a save folder and converting it into a format shareable via communication apps or email. The output consists of the saved data file and a sharing link.

[0687] (Application Example 1)

[0688] 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".

[0689] Modern users, while interested in creating stories, lack environments that easily allow them to express their creativity. Furthermore, limited means of enjoying original stories visually and aurally create a need for effective tools to nurture children's creativity. Additionally, smoother processes are needed for sharing and re-editing created stories.

[0690] 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.

[0691] In this invention, the server includes means for receiving information from the user and transmitting that information to a generation device; means for the generation device to generate a story concept based on the user's input information; means for generating and presenting choices that the user can select based on the generated story concept; and means for presenting the story with audio and visual effects in response to user input. This makes it possible for users to easily create original stories and enjoy them interactively through audio and visual information.

[0692] "Means of obtaining information from the user" refers to the process of receiving data from the user, such as the story's theme or the user's age, and acquiring it through a terminal or other input device.

[0693] "Means for transmitting information to the generation device" refers to a communication method that transfers input information obtained from the user as data to the generation device and initiates the process for generating a story.

[0694] "A means of generating a story concept using a generation device" refers to an algorithm that uses a generation AI model to form and output an outline and main storyline based on user input information.

[0695] "Means for generating and presenting user-selectable options" refers to the process of providing, displaying, or presenting scenarios and characters that the user can choose from based on the generated narrative concept.

[0696] "Means of presenting a story through sound and visual effects" refers to means of providing the content of a generated story to the user as visual and auditory information through sound output devices, displays, etc.

[0697] "Means for saving and sharing narratives and visual information" refers to a system structure that records the content of generated narratives as digital data and has the function of sharing that data with other users and devices.

[0698] The system implementing this invention consists of three main elements: a terminal, a server, and a user.

[0699] The user uses a device to input the story's theme and their age information, which is temporarily stored as data. The device then transmits this data to the server. A data transfer protocol is used for this communication, allowing the server to receive the information accurately.

[0700] The server uses a generative AI model based on the user's data to formulate a story concept. This generative AI model is optimized according to the user's age and selected theme, and automatically devises plots and characters. From the generated story outline, the server presents the user with further developments and choices. An example of a prompt here would be, "Generate a children's adventure story set in space."

[0701] The user reviews the options presented through the terminal and selects one that determines the progression of the story. Based on this selection, the server elaborates on the story with audio and visual effects. Visual information generation software (such as Unity or Unreal Engine) is used for this. The generated story and visual information are displayed on the terminal and provided to the user through audio output. For example, if the user selects "Lake," the server will construct a detailed adventure scenario related to the lake.

[0702] After completing a story, users can re-edit it as needed. Editing allows for the selection of new options and modification of existing information. The final story is saved on the device and can be shared with other devices and users as needed. This system allows users to unleash their creativity and enjoy stories using both visual and auditory information.

[0703] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0704] Step 1:

[0705] The user operates the device and enters information such as the story's theme and age. This input information is temporarily stored on the device. The entered data is converted to JSON format and prepared to be sent to the server as structured data.

[0706] Step 2:

[0707] The terminal sends input data to the server. The server receives this data and analyzes the input information. The received data is used as prompts for the generating AI model, which generates story plots and initial character designs based on the theme and age group, using a database. At this time, prompts such as "Generate a children's adventure story set in space" are used.

[0708] Step 3:

[0709] Based on the generated story summary, the server creates a list of choices to present to the user. These choices are displayed visually on the device. The choice data is encoded in JSON format and presented in a format that is easy for the user to understand intuitively.

[0710] Step 4:

[0711] The user uses a device to make a choice from the presented options that will influence the story's progression. The device then sends the selected data back to the server, and information based on the user's choices is passed to the server.

[0712] Step 5:

[0713] The server further refines the story content based on user selections. Visual generation software such as Unity or Unreal Engine is used to generate visual and audio information. Visual scene analysis and audio scenarios are assigned, and this data is sent to the terminal.

[0714] Step 6:

[0715] The terminal receives detailed story data from the server and presents visual and audio information to the user via an audio output device or display. At this time, the user can view the visual representation of the story and enjoy the story through audio.

[0716] Step 7:

[0717] If the user is satisfied with the final result of the generated story, they can use the device's save function to record the story and visual data. This information is kept in a format that can be shared with other users and devices. Users can re-edit this saved data as needed.

[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 is a story generation system that combines an emotion engine that recognizes the user's emotional state and optimizes story conception and choices based on that information. It mainly consists of the interaction between a terminal, a server, the emotion engine, and the user.

[0720] First, the user enters their age and themes of stories they are interested in via their device. The emotion engine then recognizes the user's emotional state through the device's camera and sensor functions. The emotion engine analyzes the user's facial expressions and tone of voice, acquiring emotional data in real time.

[0721] This information is sent from the device to the server. The server uses a generative AI model to generate a story concept that takes into account the user's age, theme, and emotional state. In this generation process, the story development and choices are dynamically adjusted based on how the user is currently feeling (e.g., excited, calm, anxious, etc.). For example, if the user is feeling anxious, the server can present calming and encouraging choices.

[0722] Next, the server transfers the generated story summary and choices to the terminal and presents them to the user. The user reviews the choices on the terminal and decides how to proceed with the story. At this time, the emotion engine monitors the user's state as needed and provides feedback to ensure that the choices match the user's expectations.

[0723] The selected content is sent to the server, and detailed visual information related to the story is generated. The generated content is presented to the user, saved on the device, and shared as needed. Furthermore, it includes a function that allows users to flexibly re-edit the story and visual information if they wish to make different choices.

[0724] For example, if a user chooses an adventure story and the emotion engine recognizes an excited state, the server will provide a plot with many dynamic action scenes. When the user selects the option "run up the mountain," the story unfolds while ensuring that the state confirmed by the emotion engine data is positive for that choice. This system enables a personalized creative experience that takes the user's emotions into account.

[0725] The following describes the processing flow.

[0726] Step 1:

[0727] The device displays a form for the user to enter their age and the theme of the story. The user enters this information. The device also uses its camera and sensors to collect the user's facial expressions and voice, preparing them for analysis by the emotion engine.

[0728] Step 2:

[0729] The emotion engine analyzes collected user facial and voice data to recognize the user's emotional state. For example, it can determine emotions such as joy, surprise, and sadness in real time from facial expressions. The determination results are then provided to the device as data.

[0730] Step 3:

[0731] The terminal integrates user input information with emotion data from the emotion engine and sends it to the server. The server receives this data and begins analysis.

[0732] Step 4:

[0733] The server utilizes a generative AI model to generate story concepts based on user information (age, theme, and emotional state). It designs plots that resonate with the user's emotions to ensure enjoyment.

[0734] Step 5:

[0735] The server creates specific choices based on the generated story concept and sends them to the user's terminal for presentation. These choices often include content that corresponds to the recognized emotions of the user.

[0736] Step 6:

[0737] The user views the options presented on the device and chooses the desired progression of the story. The device then records this choice and sends it to the server.

[0738] Step 7:

[0739] The server dynamically generates detailed stories and visual information based on user choices. It also optimizes content to reflect changes in emotional state.

[0740] Step 8:

[0741] The device displays the generated story and visual information to the user. The user reviews the content and chooses to save or re-edit the results. Options for saving and sharing are also provided.

[0742] This system enables a compelling narrative experience that reflects the user's emotions in real time.

[0743] (Example 2)

[0744] 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".

[0745] Conventional story generation systems lacked sufficient dynamic story construction that took into account the user's emotional state, making it difficult to provide a personalized experience for each user. In particular, the limited provision of choices that reflected the emotions the user was feeling at the time, and the limited flexibility in reconstructing the story, made it difficult to increase user satisfaction.

[0746] 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.

[0747] In this invention, the server includes information input means for acquiring data from the user, emotion recognition means for analyzing the user's emotional state using the terminal's camera and sensors, and means for generating a story concept using a generative model based on the user's data and emotional state. This enables the generation of personalized stories that respond to the user's emotions in real time.

[0748] An "information input means" is a system component for acquiring data from a user.

[0749] "Emotion recognition means" refers to a function that analyzes the user's emotional state using the terminal's camera or sensors.

[0750] A "generative model" is an algorithm used to generate story concepts based on user data and emotional states.

[0751] "A story concept" is a collection of ideas that constitute the plot and setting of a story, generated based on user input and emotional state.

[0752] "Options" refer to multiple possible actions or developments presented to the user based on the generated narrative concept.

[0753] "Visual content" refers to detailed visual elements generated in connection with the creation of a narrative.

[0754] A "server" is a central computing device that processes information and generates stories based on data sent by users.

[0755] A "terminal" is a device used by a user that performs information input, emotion recognition, and communicates with a server as an interface.

[0756] This invention is a narrative generation system that takes into account the user's emotional state, and mainly consists of the interaction of a terminal, a server, an emotion recognition means, and a generation AI model.

[0757] The device is equipped with an information input mechanism for the user to enter their age and areas of interest. The user enters this information through the screen, setting the basis for the entire story. The device also has a camera and sensors that function as emotion recognition mechanisms. These emotion recognition mechanisms analyze the user's emotional state in real time using facial expressions, tone of voice, and other factors.

[0758] This emotional state data and user input information are sent from the terminal to the server. Based on this information, the server dynamically generates a story concept using a generative AI model. The generative AI model constructs an appropriate story by considering the user's age, themes of interest, and prompts corresponding to their current emotional state.

[0759] As a concrete example, suppose a user chooses "fantasy adventure story" as their theme, and the emotion recognition system detects the user's "excited state." In this case, the server, based on its generative AI model, generates a story containing many action-packed scenes, using prompts such as, "Think of the next development that will evoke excitement in this fantasy adventure story."

[0760] Ultimately, the generated story concept and associated visual content are presented to the user through the device. Users can advance the story through the provided choices, or re-edit the story by selecting their favorite elements. In this way, it is possible to provide a personalized creative experience that responds to the user's real-time emotions.

[0761] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0762] Step 1:

[0763] The user inputs information using a terminal. Here, the user enters their age and preferred story themes through the terminal's interface. This input information becomes the basic data needed for the next processing step. The output consists of a dataset containing the user's personal information.

[0764] Step 2:

[0765] The device analyzes the user's emotional state using its camera and sensors. The device analyzes the user's facial expressions and voice tone in real time through its camera and voice input functions using emotion recognition mechanisms. The processed data is output as emotion data, indicating the user's emotional state (e.g., excitement, anxiety).

[0766] Step 3:

[0767] The terminal transmits user-inputted information and emotional states to the server. This data is then aggregated at a central processing station. The output is delivered to the server as a data package containing user information and emotional data.

[0768] Step 4:

[0769] The server generates story concepts using a generative AI model based on aggregated data. User information and emotion data are supplied to the AI ​​model as input, in the form of the prompt "Generate a story for an excited 18-year-old user." The AI ​​model considers the optimal story development based on the user's characteristics and generates an appropriate story concept. As output, the storyline is generated and recorded.

[0770] Step 5:

[0771] The server generates a summary of the generated story, along with choices that the user can select, and sends them to the terminal. The server generates a variety of possible developments based on the story's storyline and provides them to the terminal. The output is a story summary with choices tailored for the user.

[0772] Step 6:

[0773] The user selects their preferred option from the choices presented on the device. The device then reflects the user's preferences based on this selection. The selected information leads to processing in the next step. The output confirms the selection information based on the user's choice.

[0774] Step 7:

[0775] The user sends their selection information to the server, which then generates related visual content. The server uses this information to generate detailed visual elements to enhance the user experience. The output consists of visual content related to the completed story scene.

[0776] Step 8:

[0777] The device stores the generated story and visual content, allowing users to share it with others as needed. The device stores the saved content in internal memory or cloud storage, providing sharing options. Ultimately, the complete story experience is consolidated in the user's hands.

[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] While modern story generation systems can generate diverse narratives based on user input, they still fall short in their ability to interactively customize stories by considering the user's emotional state. There is a need to provide more personalized stories that take into account the impact of user emotions on the narrative experience. Traditional systems have been unable to dynamically optimize story details based on real-time emotional feedback from users.

[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 means for receiving information from the user and transmitting that information to an information processing device; means for generating a story concept using the information processing device based on the user's input information and emotional information; and means for recognizing the user's emotional state in real time and optimizing the story and visual information based on the recognized emotions. This enables dynamic story generation tailored to the individual emotional state of the user.

[0783] An "information processing device" is a device that processes information received from a user and has the function of generating a story concept.

[0784] "Emotional information" refers to data that indicates a user's emotional state, and is obtained from information such as facial expressions and tone of voice.

[0785] "Story conception" refers to a plan that defines the overall framework and development of the story, and is generated based on user input and emotions.

[0786] "Real-time recognition" means instantly analyzing and reflecting the user's emotional state on the spot.

[0787] "Visual information" refers to images and video data related to a story, which are optimized based on the user's emotions.

[0788] "Dynamic optimization" means updating the content in response to the user's emotions and choices, and adjusting it to the optimal form each time.

[0789] A "personalized story" is a narrative that is customized based on the preferences and emotions of a particular user.

[0790] The system for implementing this invention includes a process for generating personalized stories using user input information and emotional information. Specifically, the user inputs their age and preferred themes using a device. This device is also equipped with a camera and microphone, allowing it to acquire emotional information in real time from facial expressions and voice tone.

[0791] The device sends acquired emotional information and user input information to the server. The server analyzes the user's emotional state using software such as Python or OpenCV, and based on this, generates a story concept using a generative AI model. In this generation process, for example, if the user is in a state of concentration, a story with strong mystery elements will be provided.

[0792] The server sends the generated story concept to the user's device, which then presents it to the user. Once the user makes a decision about the story's progression, the device again checks their emotional state and sends feedback to the server. Based on this feedback, the server dynamically adjusts the story and generates optimized visual information.

[0793] By implementing this system, users can obtain a dynamic story generation experience tailored to their individual emotional state. For example, by inputting the prompt, "Create a mystery story best suited to a focused user," into the generation AI model, a story can be generated. This allows users to experience a story that meets their expectations.

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

[0795] Step 1:

[0796] The device prompts the user for information such as age and areas of interest. This input data is treated as basic information necessary for generating the user's narrative. The device also uses its camera and microphone to capture the user's facial expressions and voice tone in real time, sending this emotional information to the server. In this process, the input is the user's profile information, and the output is an initial dataset for analysis.

[0797] Step 2:

[0798] The server processes user input information and emotion information received from the terminal. Here, the server analyzes the emotion information using Python or OpenCV to determine the user's emotional state. The input is raw data indicating the user's emotional state, and the server performs data analysis to output a result indicating what emotional state the user is in (e.g., excited, calm, etc.).

[0799] Step 3:

[0800] The server passes the analyzed emotional state and input information to the generating AI model to generate a story concept. In this generation process, for example, a prompt such as "Create a mystery story best suited to a focused user" is input to the AI ​​model, and a personalized story plot is output. As a result, the generating AI model constructs the optimal story tailored to the user's state.

[0801] Step 4:

[0802] The server sends the generated story plot to the terminal. The terminal presents this story plan to the user, allowing the user to decide how the story progresses from several options. The input here is the generated story plot, and the output is the information presented to the user.

[0803] Step 5:

[0804] The user selects an option presented through the device, and this selection information is sent back from the device to the server. The device verifies whether the user's selection is appropriate for their current emotional state, and sends the most suitable option as output to the server.

[0805] Step 6:

[0806] The server optimizes the story and visual information based on the selection information received from the user. The server generates new visual content based on the selected story and sends it to the terminal. The input is the user's selection information, and the output is the improved story and visual information.

[0807] Step 7:

[0808] The device ultimately presents the generated story and visual information to the user, completing the narrative experience. The generated content can be saved on the device and shared with other platforms as needed. The input is the final output data from the server, while the presentation to the user and saving are the outputs.

[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 to be incorporated by reference.

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

[0831] (Claim 1)

[0832] A means for receiving information from a user and transmitting that information to a generating device,

[0833] A means for generating a story concept using a generation device based on user input information,

[0834] A means of generating and presenting choices that the user can select based on the generated story concept,

[0835] A means of generating a story and visual information based on the choices selected by the user,

[0836] A means of saving and sharing the generated narratives and visual information,

[0837] A system that includes this.

[0838] (Claim 2)

[0839] The system according to claim 1, which presents appropriate options based on the user's age information and preferences.

[0840] (Claim 3)

[0841] The system according to claim 1, which makes the generated story editable and allows the user to make different choices again.

[0842] "Example 1"

[0843] (Claim 1)

[0844] A means for collecting attribute data from users and transmitting said data to a computing device,

[0845] A means for automatically creating a story design using a computing device based on user attribute data,

[0846] A means of presenting branching paths that users can choose from, based on the design of the created story,

[0847] A means of constructing a detailed narrative and visual information based on the branching selected by the user,

[0848] A means of recording and sharing generated narratives and visual information,

[0849] A system that includes this.

[0850] (Claim 2)

[0851] The system according to claim 1, which presents the optimal branching based on the user's age attributes and preferences.

[0852] (Claim 3)

[0853] The system according to claim 1, which makes the created story editable and allows the user to make different choices again.

[0854] "Application Example 1"

[0855] (Claim 1)

[0856] A means for receiving information from a user and transmitting that information to a generating device,

[0857] A means for generating a story concept using a generation device based on user input information,

[0858] A means of generating and presenting choices that the user can select based on the generated story concept,

[0859] A means of generating a story and visual information based on the choices selected by the user,

[0860] A means of presenting a story with audio and visual effects in response to user input,

[0861] A means of saving and sharing the generated narratives and visual information,

[0862] A system that includes this.

[0863] (Claim 2)

[0864] The system according to claim 1, which presents appropriate options and outputs them in audio and visual form based on the user's age information and preferences.

[0865] (Claim 3)

[0866] The system according to claim 1, which makes the generated story editable, allows the user to make different choices again, and allows the presented visual information to be played back and modified.

[0867] "Example 2 of combining an emotion engine"

[0868] (Claim 1)

[0869] A means of inputting information to obtain data from the user,

[0870] An emotion recognition means that analyzes the user's emotional state using the terminal's camera and sensors,

[0871] A means of sending data and emotional states acquired by the terminal to a server,

[0872] A means of generating a story concept using a generative model based on user data and emotional state,

[0873] A means of generating and presenting multiple choices that the user can select from, based on the concept of the generated story,

[0874] A means of generating narrative and visual content in detail based on the choices selected by the user,

[0875] A means of saving and sharing generated stories and visual content,

[0876] A system that includes this.

[0877] (Claim 2)

[0878] The system according to claim 1, which dynamically adjusts and presents choices based on the user's age information and emotional state.

[0879] (Claim 3)

[0880] The system according to claim 1, which makes the generated story and visual content editable, allowing the user to make different choices again and reconstruct the story.

[0881] "Application example 2 when combining with an emotional engine"

[0882] (Claim 1)

[0883] A means for receiving information from a user and transmitting that information to an information processing device,

[0884] A means for generating a story concept using an information processing device based on user input information and emotional information,

[0885] A means of generating, adjusting, and presenting user-selectable options based on the generated narrative concept,

[0886] A means of recognizing the user's emotional state in real time and optimizing the narrative and visual information based on the recognized emotions,

[0887] A means of saving and sharing the generated narratives and visual information,

[0888] A system that includes this.

[0889] (Claim 2)

[0890] The system according to claim 1, which presents appropriate and personalized choices based on the user's age information, preferences, and emotional state.

[0891] (Claim 3)

[0892] The system according to claim 1, which makes the generated story editable, allows the user to make different choices again, and further dynamically re-edits the story according to different emotional states. [Explanation of Symbols]

[0893] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for receiving information from a user and transmitting that information to a generating device, A means for generating a story concept using a generation device based on user input information, A means of generating and presenting choices that the user can select based on the generated story concept, A means of generating a story and visual information based on the choices selected by the user, A means of saving and sharing the generated narratives and visual information, A system that includes this.

2. The system according to claim 1, which presents appropriate options based on the user's age information and preferences.

3. The system according to claim 1, which makes the generated story editable and allows the user to make different choices again.

Images