system

Abstract

We provide the system. [Solution] A means of obtaining a user profile via the user interface, A means for dynamically generating appropriate narrative development and visual representation from pre-configured options based on acquired user profiles, A means of sequentially constructing a story by having the user choose options, A means of visually previewing the constructed story and outputting the completed digital content in a storable format, A means for processing user voice input using a voice recognition device and managing the profile, A means of providing an intuitive interface for visually displaying the story in real time, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, 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] In modern times, when users create stories or picture books, it may require high technical understanding and creativity. For this reason, there is a problem that many people, especially children and the elderly, have limited means to easily enjoy original content. Furthermore, it is difficult to provide content corresponding to individual preferences, which hinders the improvement of the user experience.

Means for Solving the Problems

[0005] This invention solves the above problems by providing a system that allows users to easily construct a story simply by selecting options. When a project is started via the user interface, user profile information is collected, and a suitable story scenario and visual materials are dynamically generated based on this information. Furthermore, the story progresses according to the user's choices, and at the end, the completed content can be visually previewed and output in a format for saving or sharing. This makes it possible for people of all ages to easily obtain a customized story experience without any special technical knowledge.

[0006] A "user interface" is the point of contact that connects a system or application with the user, and it is the visual and functional means by which the user interacts with the system or application.

[0007] A "user profile" is a dataset containing information such as a user's age, preferences, interests, and behavioral history, and is used to customize the individual user experience.

[0008] "Options" refer to multiple choices or alternatives presented to a user when making a decision within a system, including those that can alter the progress or outcome.

[0009] "Story development" refers to the flow of events and actions that constitute the progression of the story, and is a core element of the narrative.

[0010] "Visual expression" refers to all visual elements such as images, illustrations, and animations that are provided visually in stories and content.

[0011] "Dynamically generated" refers to a process where data is not fixed, but rather modified or created in real time based on the user's profile and choices.

[0012] "Preview" is a feature that allows users to visually review the final product or a portion of the project before completion, and to make revisions or approvals as needed.

[0013] A "saveable format" is a data structure or format that allows generated digital content to be accessed later, and generally refers to a file format (e.g., PDF, JPEG, etc.).

[0014] An "external platform" refers to an online service or social network that exists outside the system and is available for users to share and broadcast content.

[0015] "Interaction" refers to the interaction between the user and the system, and includes system responses based on user input and actions, such as button clicks and touch operations. [Brief explanation of the drawing]

[0016] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8]It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] 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.

Mode for Carrying Out the Invention

[0017] 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.

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

[0019] In the following embodiments, a processor with a reference number (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of 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.

[0020] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0021] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0022] 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).

[0023] 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."

[0024] [First Embodiment]

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

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

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

[0031] 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.

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

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] This invention relates to a system for users to easily create customized stories and picture books. The system includes a server, a terminal, and a series of processes based on user interaction.

[0038] The server first prepares a content database containing various storylines and visual materials. This data is categorized by age group, genre, character characteristics, etc., enabling selection based on the user's profile.

[0039] The device provides the user with a profile settings screen via its user interface. On this screen, the user enters information such as their age, preferred genres, and areas of interest. This profile information is sent to the server and used to provide a user-specific experience.

[0040] Next, the server generates story options that match the user profile. These options include various story beginnings, plot developments, and character interactions. The terminal displays these options to the user, allowing them to choose the one they are most interested in.

[0041] When a user makes a selection, the server dynamically generates the next story development and associated visual representations based on that selection. As the user continues to make choices, the story is constructed sequentially, eventually forming a coherent narrative and a collection of associated images.

[0042] The system provides users with a preview via their device at each stage of the story's completion. This preview allows users to check each story development and illustration, and make corrections or changes as needed.

[0043] Finally, the server generates the completed picture book in a storable format, such as PDF or digital image. Users can then save it locally or send it to an external platform for sharing or publishing.

[0044] As a concrete example, consider a user creating a fantasy story for a 7-year-old child. When this user selects the story development "An Adventure in the Magical Forest," the system displays character and illustration options that fit that theme. The user chooses a wizard character and then selects "A Trial at the Castle" as the next development. In this way, the story is automatically constructed based on the user's choices, and an original picture book is completed.

[0045] The following describes the processing flow.

[0046] Step 1:

[0047] The server prepares a content database tailored to each user's individual profile. This database contains story plots and visual materials categorized by age, genre, and theme.

[0048] Step 2:

[0049] The device displays a profile settings screen to the user. The user enters information such as age, preferred genres, and topics of interest. This information is sent to the server and used to provide a user-specific experience.

[0050] Step 3:

[0051] The server generates story options that match the user profile. These include choices for the story's beginning, development, and characters.

[0052] Step 4:

[0053] The device displays the user with options for the generated story. The user selects an option that interests them and directs the story's progression.

[0054] Step 5:

[0055] The server dynamically generates the next story development and associated visual representations based on the user's choices. This process is repeated until the user has completed all their choices.

[0056] Step 6:

[0057] The device provides users with a preview of the completed story, allowing them to review the story and illustrations and make any necessary revisions.

[0058] Step 7:

[0059] The server generates the stories that users have reviewed in a savable format, such as PDF. In this format, users can save, share, or publish the content locally.

[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] Conventional story generation systems have struggled to seamlessly generate dynamic story developments based on user-selected narrative progression. Furthermore, they lacked the technology to suggest optimal visual representations based on user choices, generate prompts through interaction, and continuously improve the story content. This limited the immersive experience and customizability of the stories. Additionally, there is a need for methods to easily save generated stories and share them with external devices.

[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 acquiring user information, means for dynamically generating narrative progression and visual representations based on the acquired information, and means for previewing the narrative and utilizing a generation AI model. This enables real-time story updates based on user selection and optimization of the elements involved. As a result, the generation of high-quality, customized narratives and the saving and sharing of the generated works are smoothly realized.

[0065] A "user interface" refers to a screen-like device that allows users to interact with a system and input information.

[0066] "User information" refers to specific information about a user, such as age, interests, and preferred genres.

[0067] "Story progression" refers to the developments and flow of a story from its beginning to its end.

[0068] "Visual representation" refers to graphic elements such as characters and backgrounds related to the story.

[0069] A "generative AI model" refers to an engineering program that generates stories and visual effects based on user selections.

[0070] "Preview" refers to a display function that allows users to see part or all of a constructed story in advance.

[0071] A "digital work" refers to the final generated narrative and the collection of associated visual materials.

[0072] "External device" refers to a third-party platform or device used to store or share digital works.

[0073] A "prompt sentence" is a sentence used in a generative AI model, referring to an instruction sentence that suggests the direction and content of story generation.

[0074] This invention is a system that allows users to generate customizable stories and digital works. The system is comprised of a server, a terminal, and user interaction. The operation of each element is described below.

[0075] The server first prepares a database for managing various content data. This database includes story developments, character characteristics, and visual materials, which are categorized based on age group, genre, and interests. Upon receiving user information, the server generates suitable story options based on this information. A generative AI model is used for dynamic story generation, suggesting narrative progression and visual representations based on the user's selection.

[0076] The device interacts directly with the user through its user interface. The user profile settings screen allows users to input their age and interests, and send this information to the server. The device visually presents story options provided by the server to the user, designed to encourage interest and selection. Furthermore, the device displays a real-time preview of the story, providing the user with opportunities to modify or re-select their choices.

[0077] Users can build their own unique stories by selecting story options according to their interests and preferences. The selected information is sent to the server and reflected in the next development of the story. This enables the generation of consistently customized stories.

[0078] For example, if a user selects the theme "space exploration" and then chooses the plot "landing on an unknown planet," the system will present graphics of a spaceship and the unknown planet based on those selections. Furthermore, by processing a prompt like "encounter with aliens" using a generating AI model, an interesting development can be provided to the user.

[0079] An example of a prompt is, "Create a space-themed story for a 10-year-old child. Please include a scene where the main character arrives on a new planet." Based on this prompt, the generative AI model develops the story. The story dynamically changes based on the user's choices, and can ultimately be saved and shared as completed digital content.

[0080] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0081] Step 1:

[0082] The terminal displays a user interface for receiving input from the user. On this screen, the user enters information such as age, preferred genres, and topics of interest. The entered information is sent to the server as user information. The server receives the user information as input data and uses it to refine the options in the database.

[0083] Step 2:

[0084] The server generates suitable story options based on the received user information. Specifically, it utilizes a generative AI model to combine elements such as the story's beginning, development, and character interactions to create a list of possible options. In this process, it retrieves relevant content from the database and generates options optimized for the profile as output data.

[0085] Step 3:

[0086] The terminal displays story options received from the server to the user. These options are presented in a visually clear manner. The user then selects a story development that interests them from these options. The selected data is sent back to the server and used as input data for the next process.

[0087] Step 4:

[0088] The server dynamically generates the next development based on the story selected by the user. A generative AI model processes the selected data and constructs a new story development and visual representation. As a result, a customized story development that reflects the user's selection is generated as output data.

[0089] Step 5:

[0090] The terminal provides the user with a preview of each stage of the system-generated story. The user can review the preview and make modifications as needed. In this process, the terminal receives user feedback as input data, and the server readjusts the output data based on that feedback.

[0091] Step 6:

[0092] The server generates the completed story, based on the user's selections, in a savable format (PDF or digital image). The final generated digital content is sent to the terminal as output data, allowing the user to save it locally or share it with external devices.

[0093] (Application Example 1)

[0094] 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."

[0095] Conventional story generation systems have struggled to automatically generate stories tailored to individual user preferences, and have been unable to provide dynamic experiences, particularly through voice input or real-time interaction. Furthermore, limited visual feedback has created a need for intuitive interfaces, especially for children.

[0096] 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.

[0097] In this invention, the server includes means for acquiring a user profile via a user interface, means for dynamically generating an appropriate narrative development and visual representation from pre-configured options based on the acquired user profile, and means for processing the user's voice input using a speech recognition device and managing the profile. This enables intuitive operation through the user's language input and the generation of individually customized narratives.

[0098] A "user interface" provides a means for users to interact with the system, enabling them to input profile information and select stories.

[0099] A "user profile" is information that shows the individual attributes and preferences of a user, and is used as basic data for generating narratives.

[0100] "Narrative development" refers to elements that indicate the progression and changes in a story generated based on a selected theme.

[0101] "Visual representation" includes illustrations and graphics related to the generated story, and is intended to visually represent the narrative.

[0102] A "speech recognition device" is a device that captures a user's voice input and converts it into text data.

[0103] An "intuitive interface" refers to an interface that includes a design and navigation that users can operate intuitively, and is particularly easy for children to understand.

[0104] To implement this invention, a system is constructed based on the interaction between a server, a terminal, and the user. The server acquires a user profile entered through the user interface and dynamically generates a narrative development and visual representation based on it. The server incorporates speech recognition software using Python and a dynamic story generation model utilizing TENSORFLOW®. The terminal is designed especially for children to allow users to intuitively operate the interface using voice and touch controls.

[0105] Users can give voice commands to the system through their device; for example, if they specify they want a "pirate adventure," they can obtain a corresponding story and visual materials. The voice is captured by the device's microphone and converted to text via the Google® Speech-to-Text API. The user's selections are sent to the server in real time, and the results are displayed on a robot display or speaker powered by a Raspberry Pi.

[0106] For example, if a user selects the theme "Adventure in the Magical Forest" and gives the instruction "Next, explore the castle," the system will display characters and illustrations appropriate to that scene and advance the story accordingly. Another example of a prompt to the generation AI model is, "Generate a fantasy story for a 7-year-old child. The character is a wizard, and the theme is 'Adventure in the Magical Forest.'" When this prompt is given to the AI ​​model, the corresponding story is generated.

[0107] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0108] Step 1:

[0109] The device collects user voice input through the user interface. The user specifies the story's theme and progression by voice. This voice data is captured via the microphone and sent as input to the Google Speech-to-Text API. The API converts the voice data into text data and returns the result to the device.

[0110] Step 2:

[0111] The device sends the converted text data to the server. The server links this text data with user profile information. The profile includes age, interests, etc., and the server uses this to generate the most suitable story options. Based on the selected theme, prompt sentences are sent to the generating AI model, which generates story candidates.

[0112] Step 3:

[0113] The server receives story candidates returned by the AI ​​generation model and sends them back to the terminal. The terminal prepares relevant visual materials, such as the beginning of the story and character visuals, and presents them to the user. At this point, the user can view the screen to confirm the next options and select a specific scene or character.

[0114] Step 4:

[0115] Once the user selects the next story development, the device sends that selection back to the server. The server then feeds a new prompt to the AI ​​model, which generates the next stage of the story. This generated story information, along with visual materials, is then provided to the device.

[0116] Step 5:

[0117] The device displays a new story development and visual representation generated based on the user's choices. The user repeats this process until the entire story takes a satisfactory form. Finally, if the user chooses to complete the story, the server integrates the digital content and generates it in a storable format.

[0118] Step 6:

[0119] Users can choose to save their completed digital content locally or send it to a specific external platform through the device's interface. This operation is performed using intuitive button controls, making content sharing easy.

[0120] 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.

[0121] This invention provides a system that combines an emotion engine to enable users to create more personalized stories and picture books. The system includes a server, a terminal, and an emotion engine.

[0122] The server maintains a content database that manages diverse storylines and visual materials based on each user's profile. This database is categorized by genre and age group, and is designed to facilitate the provision of initial choices.

[0123] The terminal provides a screen for configuring profile settings through a user interface. Once the user enters their profile information, that data is sent to a server and used to generate story options suggested by the system based on the user's interactions.

[0124] The emotion engine recognizes the user's emotions in real time. Using cameras and sensor devices, it analyzes facial expressions, voice tone, and input actions to identify the emotions the user is currently feeling. The results are used as input to further customize the narrative development and visual experience.

[0125] As an example, consider a scenario where a user creates a story with the theme "Adventure in the Magical Forest." If the user chooses "Forest Entrance" as their initial option, and the emotion engine detects a high level of excitement in the user, the system will display more challenging options. Conversely, if the emotion engine determines that the user is relaxed, it will suggest a gentler progression, providing an experience that resonates with the user's feelings.

[0126] The system provides a preview of the story via a terminal at each stage of its completion. This allows users to check illustrations and story content and make corrections or changes as needed. Finally, the server outputs the completed story in the user's preferred format, allowing users to save their work locally or share it on external platforms. This enables users to enjoy a rich interactive storytelling experience without requiring any special technical knowledge.

[0127] The following describes the processing flow.

[0128] Step 1:

[0129] The server activates a content database, classifying storylines and visual materials by genre and age group. Using this database, it prepares to provide users with appropriate choices.

[0130] Step 2:

[0131] The device displays a profile settings screen via its user interface. The user enters information such as age, preferred genres, and topics of interest, and sends this information to the server.

[0132] Step 3:

[0133] The emotion engine uses the camera and microphone to analyze the user's facial expressions and tone of voice, recognizing the user's emotions in real time.

[0134] Step 4:

[0135] The server generates the story's opening scene and related choices based on the user's profile information and results from the emotion engine. The generated choices are dynamically adjusted based on the user's emotions.

[0136] Step 5:

[0137] The device displays generated story options to the user. The user selects an option that interests them and directs the story's progression.

[0138] Step 6:

[0139] The server generates the next story development and visual representation based on the selected choices, continuously adjusting them while monitoring the user's emotional changes.

[0140] Step 7:

[0141] The device provides a preview of the story, allowing users to review the story and illustrations and make necessary modifications.

[0142] Step 8:

[0143] The server generates the final story in a user-specified format. The user can then save it locally or share it to their preferred external platform.

[0144] (Example 2)

[0145] 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".

[0146] In the modern era, generating interactive digital narratives that deliver personalized user experiences requires significant time and expertise. Dynamically adjusting narratives based on user emotional states is particularly technically challenging and extremely difficult. Furthermore, the lack of readily available means for easily sharing completed content with external platforms poses another challenge.

[0147] 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.

[0148] In this invention, the server includes means for acquiring personal information via a user interface, means for dynamically generating appropriate narrative development and visual representation from pre-set options based on the acquired personal information, and means for analyzing the user's emotional state in real time and automatically adjusting the progression of the story. As a result, users can enjoy an emotionally engaging interactive narrative experience without requiring special technical knowledge, and can easily share the completed digital content on external platforms.

[0149] "User interface" refers to the visual or manipulative means by which a user interacts with a system.

[0150] "Personal information" refers to data that is unique to a user, including age, interests and preferences, and past preferences.

[0151] "Story development" refers to the progression and structure of the story, and the flow of the narrative that changes depending on the user's choices and emotional state.

[0152] "Visual representation" refers to content that is presented visually, such as illustrations and animations related to the progression of a story.

[0153] "Emotional state" refers to the user's current psychological or emotional condition, and analyzing this allows for the provision of a personalized experience.

[0154] "Emotional analysis" refers to the process of identifying a user's emotional state by analyzing their facial expressions, tone of voice, and input actions.

[0155] "Dynamic adjustment" refers to the act of changing the story's setting and progression in real time to provide an experience that is tailored to the user's current situation.

[0156] "Digital content" refers to information in digital format generated through a system, such as stories and related materials that users can ultimately save or share.

[0157] An "external information dissemination platform" refers to an online mechanism or structure for sharing completed digital content with other users and platforms.

[0158] This invention provides a system that allows users to create personalized, interactive stories. The system mainly includes a server, a terminal, and an emotion analysis mechanism.

[0159] The server is equipped with a powerful database management system that manages stories and visual content tailored to genre and age group. This database is used to provide optimal story selections based on user profiles. The server also processes emotional data in real time and dynamically adjusts the story's progression.

[0160] The device provides a screen for the user to enter their profile via a user interface. The interface is designed for intuitive operation, allowing users to easily start creating stories without any special technical knowledge. After the user profile is entered, the device sends this data to the server and displays suggested story options.

[0161] The emotion analysis mechanism uses cameras and sensors to analyze the user's emotional state in real time. It analyzes facial expressions, voice tone, and data from input devices to determine the user's state of excitement, relaxation, interest, and other factors. This enables a more personalized narrative experience.

[0162] As a concrete example, consider the case where the user selects the theme "Adventure in the Magical Forest." If the user chooses "Forest Entrance" as an initial option and the emotion analysis system measures the user's level of excitement as high, the server will present a more challenging scenario. On the other hand, if the emotion analysis system determines that the user is relaxed, a calmer episode will be presented.

[0163] Furthermore, as an example of a prompt to the generating AI model, input such as "What trials await the protagonist at the end of the path they have chosen?" will be entered, and the system will automatically generate the next development of the story. In this way, users can enjoy a rich interactive storytelling experience.

[0164] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0165] Step 1:

[0166] The server receives profile data entered by the user from the terminal. This profile data includes information such as age, genres of interest, and past story preferences. The server uses this input data to search the content database and generate initial choices of suitable stories. As output, it sends a list of candidate stories extracted from the database to the terminal.

[0167] Step 2:

[0168] The terminal presents the user with a list of story options received from the server. The user selects a story option from the list that interests them. Based on this selection, the terminal sends the selected story path back to the server. The data from the selection is processed as input, and the server calculates a story progression that matches the user's preferences. This result is received as output, and the next stage of the story is presented.

[0169] Step 3:

[0170] The emotion analysis mechanism analyzes the user's emotional state in real time. Based on data input from cameras and sensors (facial expressions, voice tone, operation tempo, etc.), it determines the current emotional state (e.g., excitement, relaxation). This analysis result is sent to a server and used as data to influence the progression of the story. As an output, the user's emotional state is reflected in the development of the story.

[0171] Step 4:

[0172] The server integrates user selections and sentiment analysis results to dynamically adjust the story's progression. For example, if the user selects the scenario "Adventure in the Magic Forest" and the sentiment analysis mechanism detects an excited state, the server will generate a more challenging development. This process allows the generative AI model to calculate the next development in the story and generate prompts. As output, the generated story development is sent to the terminal and presented to the user.

[0173] Step 5:

[0174] The user receives a preview of the story through their device. The preview includes text and associated visual content. If the user requests revisions, the device sends the request to the server. The revisions are treated as input data, the server reconstructs the story, and sends a new story preview to the device. The completed story is provided as output.

[0175] Step 6:

[0176] The server outputs the completed story in the specified format (e.g., PDF or EPUB) and provides it to the user. If the user wishes to share it on an external information dissemination platform, links and export options for that purpose are also generated. As a final output, the story is sent to the device in a format that allows for local storage or online sharing.

[0177] (Application Example 2)

[0178] 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".

[0179] Conventional story generation systems have faced challenges in providing personalized experiences because they struggle to adjust stories in real time to suit the individual emotional state of users. Furthermore, the stories and visual elements selected by users cannot appropriately change based on emotional feedback, resulting in limited user satisfaction. It is necessary to improve this situation and provide a dynamic story experience that responds to the user's emotional state.

[0180] 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.

[0181] In this invention, the server includes means for identifying the user's emotional state in real time, a device for further adjusting the narrative development and visual representation based on that emotional state, and means for optimizing the display and design of selection items based on the user's interaction. This makes it possible to provide a dynamic and personalized story that is in line with the user's emotions.

[0182] A "user interface" is a means for a user to interact with an information system, enabling them to input profiles and manipulate options.

[0183] A "user profile" is a collection of information that expresses each user's individual settings and preferences, and serves as the basis for customizing the story's development and visual presentation.

[0184] "Options" are choices provided to the user to dynamically select how the story progresses.

[0185] "Narrative development" refers to constructing the progression and flow of a story, which is generated step by step based on the user's selection.

[0186] "Visual representation" refers to visual elements related to a story, intended to complement the user's presentation and experience.

[0187] "Electronic content" refers to a collection of information that can be stored or output in digital format, including completed story data.

[0188] "Emotional state" refers to the expression of emotions that a user displays when interacting with an information system, and is identified through facial recognition and voice tone analysis.

[0189] An "information provision platform" is a foundation for sharing electronic content with other users and systems.

[0190] The system for implementing the present invention first requires a hardware configuration including a server, a terminal, and an emotion engine. The server maintains a database that manages user profile information and has the function of dynamically generating narrative developments and visual representations based on the user profile. The terminal plays the role of providing a user interface for the user to set up their profile and interact with the system.

[0191] The emotion engine uses the camera and microphone built into smartphones and other devices to analyze the user's emotional state in real time. Specifically, it uses APIs from Google Cloud Vision and IBM Watson® to analyze facial expressions and voice tone to identify the user's current emotions. Based on this emotion data, the server adjusts the story content to provide the most suitable narrative experience for the user.

[0192] For example, if a user chooses the theme "Magical Adventure," the emotion engine can detect their excitement from their facial expressions and voice, and the server can suggest a more challenging storyline. Conversely, if a relaxed state is detected, a gentler storyline will be presented. This ensures that users always experience a story that matches their emotions.

[0193] An example of a prompt message would be, "You stand at the entrance to another world. A fantastical landscape unfolds around you, and your excitement for an unknown adventure grows. Let's begin your story based on this phrase." This format allows the system to provide an introduction that matches the theme of the story chosen by the user. In this way, the user receives a personalized and rich story delivered by the generative AI model.

[0194] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0195] Step 1:

[0196] The device displays an interface screen for the user to enter profile information. Once the user enters profile information such as age group and preferred stories, that data is sent to the server. The input is the user's profile information, and the output is the initial setting of an appropriate story based on that information.

[0197] Step 2:

[0198] The server generates initial story options and visual materials to be offered to the user based on the received profile information. Specifically, it selects storylines and visuals from the content database that match the user's profile. The input is the user's profile information, and the output is the story setting based on that information.

[0199] Step 3:

[0200] The terminal displays story options provided by the server to the user. When the user selects an option, it sends that selection to the server. The input is the story options from the server, and the output is the story option selected by the user.

[0201] Step 4:

[0202] The emotion engine uses the smartphone's camera and microphone to analyze the user's emotional state in real time. Specifically, it uses APIs from Google Cloud Vision and IBM Watson to identify facial expressions and voice tone, and sends the emotional data to the server. The input is the user's emotional expression, and the output is the analyzed emotional data.

[0203] Step 5:

[0204] The server dynamically adjusts the story content using data from the emotion engine. If the user indicates excitement, the system selects a challenging plot; if relaxed, it selects a calmer plot. The input is emotion data and the current story status, and the output is the adjusted story content.

[0205] Step 6:

[0206] The terminal visually previews the adjusted story content to the user and asks for their confirmation. It also provides an opportunity to save the final completed story in an electronic format. The input is the final story content from the server, and the output is the content confirmed by the user and the saved format.

[0207] Step 7:

[0208] Users can share their completed stories with external information sharing platforms. The server uses a generative AI model to convert the story into a format suitable for the user's chosen sharing destination and then transmits it. The input is the user's sharing destination information, and the output is appropriately formatted story content.

[0209] 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.

[0210] 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.

[0211] 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.

[0212] [Second Embodiment]

[0213] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0214] 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.

[0215] 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).

[0216] 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.

[0217] 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.

[0218] 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).

[0219] 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.

[0220] 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.

[0221] 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.

[0222] 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.

[0223] 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.

[0224] 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".

[0225] This invention relates to a system for users to easily create customized stories and picture books. The system includes a server, a terminal, and a series of processes based on user interaction.

[0226] The server first prepares a content database containing various storylines and visual materials. This data is categorized by age group, genre, character characteristics, etc., enabling selection based on the user's profile.

[0227] The device provides the user with a profile settings screen via its user interface. On this screen, the user enters information such as their age, preferred genres, and areas of interest. This profile information is sent to the server and used to provide a user-specific experience.

[0228] Next, the server generates story options that match the user profile. These options include various story beginnings, plot developments, and character interactions. The terminal displays these options to the user, allowing them to choose the one they are most interested in.

[0229] When a user makes a selection, the server dynamically generates the next story development and associated visual representations based on that selection. As the user continues to make choices, the story is constructed sequentially, eventually forming a coherent narrative and a collection of associated images.

[0230] The system provides users with a preview via their device at each stage of the story's completion. This preview allows users to check each story development and illustration, and make corrections or changes as needed.

[0231] Finally, the server generates the completed picture book in a storable format, such as PDF or digital image. Users can then save it locally or send it to an external platform for sharing or publishing.

[0232] As a concrete example, consider a user creating a fantasy story for a 7-year-old child. When this user selects the story development "An Adventure in the Magical Forest," the system displays character and illustration options that fit that theme. The user chooses a wizard character and then selects "A Trial at the Castle" as the next development. In this way, the story is automatically constructed based on the user's choices, and an original picture book is completed.

[0233] The following describes the processing flow.

[0234] Step 1:

[0235] The server prepares a content database tailored to each user's individual profile. This database contains story plots and visual materials categorized by age, genre, and theme.

[0236] Step 2:

[0237] The device displays a profile settings screen to the user. The user enters information such as age, preferred genres, and topics of interest. This information is sent to the server and used to provide a user-specific experience.

[0238] Step 3:

[0239] The server generates story options that match the user profile. These include choices for the story's beginning, development, and characters.

[0240] Step 4:

[0241] The device displays the user with options for the generated story. The user selects an option that interests them and directs the story's progression.

[0242] Step 5:

[0243] The server dynamically generates the next story development and associated visual representations based on the user's choices. This process is repeated until the user has completed all their choices.

[0244] Step 6:

[0245] The device provides users with a preview of the completed story, allowing them to review the story and illustrations and make any necessary revisions.

[0246] Step 7:

[0247] The server generates the stories that users have reviewed in a savable format, such as PDF. In this format, users can save, share, or publish the content locally.

[0248] (Example 1)

[0249] 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."

[0250] Conventional story generation systems have struggled to seamlessly generate dynamic story developments based on user-selected narrative progression. Furthermore, they lacked the technology to suggest optimal visual representations based on user choices, generate prompts through interaction, and continuously improve the story content. This limited the immersive experience and customizability of the stories. Additionally, there is a need for methods to easily save generated stories and share them with external devices.

[0251] 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.

[0252] In this invention, the server includes means for acquiring user information, means for dynamically generating narrative progression and visual representations based on the acquired information, and means for previewing the narrative and utilizing a generation AI model. This enables real-time story updates based on user selection and optimization of the elements involved. As a result, the generation of high-quality, customized narratives and the saving and sharing of the generated works are smoothly realized.

[0253] A "user interface" refers to a screen-like device that allows users to interact with a system and input information.

[0254] "User information" refers to specific information about a user, such as age, interests, and preferred genres.

[0255] "Story progression" refers to the developments and flow of a story from its beginning to its end.

[0256] "Visual representation" refers to graphic elements such as characters and backgrounds related to the story.

[0257] A "generative AI model" refers to an engineering program that generates stories and visual effects based on user selections.

[0258] "Preview" refers to a display function that allows users to see part or all of a constructed story in advance.

[0259] A "digital work" refers to the final generated narrative and the collection of associated visual materials.

[0260] "External device" refers to a third-party platform or device used to store or share digital works.

[0261] A "prompt sentence" is a sentence used in a generative AI model, referring to an instruction sentence that suggests the direction and content of story generation.

[0262] This invention is a system that allows users to generate customizable stories and digital works. The system is comprised of a server, a terminal, and user interaction. The operation of each element is described below.

[0263] The server first prepares a database for managing various content data. This database includes story developments, character characteristics, and visual materials, which are categorized based on age group, genre, and interests. Upon receiving user information, the server generates suitable story options based on this information. A generative AI model is used for dynamic story generation, suggesting narrative progression and visual representations based on the user's selection.

[0264] The device interacts directly with the user through its user interface. The user profile settings screen allows users to input their age and interests, and send this information to the server. The device visually presents story options provided by the server to the user, designed to encourage interest and selection. Furthermore, the device displays a real-time preview of the story, providing the user with opportunities to modify or re-select their choices.

[0265] Users can build their own unique stories by selecting story options according to their interests and preferences. The selected information is sent to the server and reflected in the next development of the story. This enables the generation of consistently customized stories.

[0266] For example, if a user selects the theme "space exploration" and then chooses the plot "landing on an unknown planet," the system will present graphics of a spaceship and the unknown planet based on those selections. Furthermore, by processing a prompt like "encounter with aliens" using a generating AI model, an interesting development can be provided to the user.

[0267] An example of a prompt is, "Create a space-themed story for a 10-year-old child. Please include a scene where the main character arrives on a new planet." Based on this prompt, the generative AI model develops the story. The story dynamically changes based on the user's choices, and can ultimately be saved and shared as completed digital content.

[0268] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0269] Step 1:

[0270] The terminal displays a user interface for receiving input from the user. On this screen, the user enters information such as age, preferred genres, and topics of interest. The entered information is sent to the server as user information. The server receives the user information as input data and uses it to refine the options in the database.

[0271] Step 2:

[0272] The server generates suitable story options based on the received user information. Specifically, it utilizes a generative AI model to combine elements such as the story's beginning, development, and character interactions to create a list of possible options. In this process, it retrieves relevant content from the database and generates options optimized for the profile as output data.

[0273] Step 3:

[0274] The terminal displays story options received from the server to the user. These options are presented in a visually clear manner. The user then selects a story development that interests them from these options. The selected data is sent back to the server and used as input data for the next process.

[0275] Step 4:

[0276] The server dynamically generates the next development based on the story selected by the user. A generative AI model processes the selected data and constructs a new story development and visual representation. As a result, a customized story development that reflects the user's selection is generated as output data.

[0277] Step 5:

[0278] The terminal provides each stage of the story generated by the system to the user as a preview. The user can view the preview and modify the content as needed. In this process, the terminal receives the user's feedback as input data, and based on this feedback, the server readjusts the output data.

[0279] Step 6:

[0280] The server generates the story completed by a series of user selections in a savable format (such as PDF or digital image). The generated final digital content is sent to the terminal as output data, enabling the user to save it locally or share it with external devices.

[0281] (Application Example 1)

[0282] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0283] In a conventional story generation system, it is difficult to generate an automatic story according to individual user preferences, and it is particularly impossible to provide a dynamic experience through voice input or real-time interaction. In addition, due to limited visual feedback, there has been a particular need for an intuitive interface for children.

[0284] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0285] In this invention, the server includes means for acquiring a user profile via a user interface, means for dynamically generating an appropriate story development and visual representation from preset options based on the acquired user profile, and means for processing the user's voice input using a voice recognition device and managing the profile. This enables intuitive operation through the user's language input and the generation of individually customized stories.

[0286] The "user interface" provides a means for the user to interact with the system and enables the input of profile information and the selection of stories.

[0287] The "user profile" is information indicating the individual attributes and preferences of the user and is used as basic data for story generation.

[0288] The "story progression" is an element indicating the progression and changes of the story generated based on the selected theme.

[0289] The "visual representation" includes illustrations and graphics related to the generated story and is for visually representing the story.

[0290] The "voice recognition device" is a device for capturing the user's voice input and converting it into text data.

[0291] The "intuitive interface" is an interface including a design and navigation that can be intuitively operated by the user, especially one that is easy for children to understand.

[0292] To implement this invention, a system based on the interaction between the server, the terminal, and the user is constructed. The server acquires the user profile input through the user interface and dynamically generates the story progression and visual representation based on this. The server incorporates voice recognition software using Python and a dynamic story generation model utilizing TensorFlow. The terminal is designed specifically for children so that the user can intuitively operate the interface by voice or touch operations.

[0293] Users can give voice commands to the system through their device; for example, if they specify they want a "pirate adventure," they can obtain a corresponding story and visual materials. The voice is captured by the device's microphone and converted to text via the Google Speech-to-Text API. The user's selections are sent to the server in real time, and the results are displayed on a robot display or speaker powered by a Raspberry Pi.

[0294] For example, if a user selects the theme "Adventure in the Magical Forest" and gives the instruction "Next, explore the castle," the system will display characters and illustrations appropriate to that scene and advance the story accordingly. Another example of a prompt to the generation AI model is, "Generate a fantasy story for a 7-year-old child. The character is a wizard, and the theme is 'Adventure in the Magical Forest.'" When this prompt is given to the AI ​​model, the corresponding story is generated.

[0295] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0296] Step 1:

[0297] The device collects user voice input through the user interface. The user specifies the story's theme and progression by voice. This voice data is captured via the microphone and sent as input to the Google Speech-to-Text API. The API converts the voice data into text data and returns the result to the device.

[0298] Step 2:

[0299] The device sends the converted text data to the server. The server links this text data with user profile information. The profile includes age, interests, etc., and the server uses this to generate the most suitable story options. Based on the selected theme, prompt sentences are sent to the generating AI model, which generates story candidates.

[0300] Step 3:

[0301] The server receives story candidates returned by the AI ​​generation model and sends them back to the terminal. The terminal prepares relevant visual materials, such as the beginning of the story and character visuals, and presents them to the user. At this point, the user can view the screen to confirm the next options and select a specific scene or character.

[0302] Step 4:

[0303] Once the user selects the next story development, the device sends that selection back to the server. The server then feeds a new prompt to the AI ​​model, which generates the next stage of the story. This generated story information, along with visual materials, is then provided to the device.

[0304] Step 5:

[0305] The device displays a new story development and visual representation generated based on the user's choices. The user repeats this process until the entire story takes a satisfactory form. Finally, if the user chooses to complete the story, the server integrates the digital content and generates it in a storable format.

[0306] Step 6:

[0307] The user can select the option to locally save the completed digital content or send it to a specific external platform through the interface of the terminal. This operation is performed through intuitive button operations, etc., making it easy to share the content.

[0308] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion recognition model 59 and perform specific processing using the user's emotions.

[0309] This invention is for a system combined with an emotion engine for the user to create more personalized stories and picture books. The system includes a server, a terminal, and an emotion engine.

[0310] The server holds a content database that manages various story developments and visual materials based on the profiles of each user. This database is classified by genre and age group and is designed to smoothly provide initial options.

[0311] The terminal provides a screen for profile setting through the user interface. When the user inputs a profile, the data is sent to the server and used to generate story options proposed by the system based on the user's interaction.

[0312] The emotion engine recognizes the user's emotions in real time. By analyzing facial expressions, voice tones, input actions, etc. using a camera or sensor device, it identifies the emotions the user is currently feeling. The result is used as an input to further customize the story development and visual experience.

[0313] As an example, consider a scenario where a user creates a story with the theme "Adventure in the Magical Forest." If the user chooses "Forest Entrance" as their initial option, and the emotion engine detects a high level of excitement in the user, the system will display more challenging options. Conversely, if the emotion engine determines that the user is relaxed, it will suggest a gentler progression, providing an experience that resonates with the user's feelings.

[0314] The system provides a preview of the story via a terminal at each stage of its completion. This allows users to check illustrations and story content and make corrections or changes as needed. Finally, the server outputs the completed story in the user's preferred format, allowing users to save their work locally or share it on external platforms. This enables users to enjoy a rich interactive storytelling experience without requiring any special technical knowledge.

[0315] The following describes the processing flow.

[0316] Step 1:

[0317] The server activates a content database, classifying storylines and visual materials by genre and age group. Using this database, it prepares to provide users with appropriate choices.

[0318] Step 2:

[0319] The device displays a profile settings screen via its user interface. The user enters information such as age, preferred genres, and topics of interest, and sends this information to the server.

[0320] Step 3:

[0321] The emotion engine uses the camera and microphone to analyze the user's facial expressions and tone of voice, recognizing the user's emotions in real time.

[0322] Step 4:

[0323] The server generates the story's opening scene and related choices based on the user's profile information and results from the emotion engine. The generated choices are dynamically adjusted based on the user's emotions.

[0324] Step 5:

[0325] The device displays generated story options to the user. The user selects an option that interests them and directs the story's progression.

[0326] Step 6:

[0327] The server generates the next story development and visual representation based on the selected choices, continuously adjusting them while monitoring the user's emotional changes.

[0328] Step 7:

[0329] The device provides a preview of the story, allowing users to review the story and illustrations and make necessary modifications.

[0330] Step 8:

[0331] The server generates the final story in a user-specified format. The user can then save it locally or share it to their preferred external platform.

[0332] (Example 2)

[0333] 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".

[0334] In the modern era, generating interactive digital narratives that deliver personalized user experiences requires significant time and expertise. Dynamically adjusting narratives based on user emotional states is particularly technically challenging and extremely difficult. Furthermore, the lack of readily available means for easily sharing completed content with external platforms poses another challenge.

[0335] 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.

[0336] In this invention, the server includes means for acquiring personal information via a user interface, means for dynamically generating appropriate narrative development and visual representation from pre-set options based on the acquired personal information, and means for analyzing the user's emotional state in real time and automatically adjusting the progression of the story. As a result, users can enjoy an emotionally engaging interactive narrative experience without requiring special technical knowledge, and can easily share the completed digital content on external platforms.

[0337] "User interface" refers to the visual or manipulative means by which a user interacts with a system.

[0338] "Personal information" refers to data that is unique to a user, including age, interests and preferences, and past preferences.

[0339] "Story development" refers to the progression and structure of the story, and the flow of the narrative that changes depending on the user's choices and emotional state.

[0340] "Visual representation" refers to content that is presented visually, such as illustrations and animations related to the progression of a story.

[0341] "Emotional state" refers to the user's current psychological or emotional condition, and analyzing this allows for the provision of a personalized experience.

[0342] "Emotional analysis" refers to the process of identifying a user's emotional state by analyzing their facial expressions, tone of voice, and input actions.

[0343] "Dynamic adjustment" refers to the act of changing the story's setting and progression in real time to provide an experience that is tailored to the user's current situation.

[0344] "Digital content" refers to information in digital format generated through a system, such as stories and related materials that users can ultimately save or share.

[0345] An "external information dissemination platform" refers to an online mechanism or structure for sharing completed digital content with other users and platforms.

[0346] This invention provides a system that allows users to create personalized, interactive stories. The system mainly includes a server, a terminal, and an emotion analysis mechanism.

[0347] The server is equipped with a powerful database management system that manages stories and visual content tailored to genre and age group. This database is used to provide optimal story selections based on user profiles. The server also processes emotional data in real time and dynamically adjusts the story's progression.

[0348] The device provides a screen for the user to enter their profile via a user interface. The interface is designed for intuitive operation, allowing users to easily start creating stories without any special technical knowledge. After the user profile is entered, the device sends this data to the server and displays suggested story options.

[0349] The emotion analysis mechanism uses cameras and sensors to analyze the user's emotional state in real time. It analyzes facial expressions, voice tone, and data from input devices to determine the user's state of excitement, relaxation, interest, and other factors. This enables a more personalized narrative experience.

[0350] As a concrete example, consider the case where the user selects the theme "Adventure in the Magical Forest." If the user chooses "Forest Entrance" as an initial option and the emotion analysis system measures the user's level of excitement as high, the server will present a more challenging scenario. On the other hand, if the emotion analysis system determines that the user is relaxed, a calmer episode will be presented.

[0351] Furthermore, as an example of a prompt to the generating AI model, input such as "What trials await the protagonist at the end of the path they have chosen?" will be entered, and the system will automatically generate the next development of the story. In this way, users can enjoy a rich interactive storytelling experience.

[0352] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0353] Step 1:

[0354] The server receives profile data entered by the user from the terminal. This profile data includes information such as age, genres of interest, and past story preferences. The server uses this input data to search the content database and generate initial choices of suitable stories. As output, it sends a list of candidate stories extracted from the database to the terminal.

[0355] Step 2:

[0356] The terminal presents the user with a list of story options received from the server. The user selects a story option from the list that interests them. Based on this selection, the terminal sends the selected story path back to the server. The data from the selection is processed as input, and the server calculates a story progression that matches the user's preferences. This result is received as output, and the next stage of the story is presented.

[0357] Step 3:

[0358] The emotion analysis mechanism analyzes the user's emotional state in real time. Based on data input from cameras and sensors (facial expressions, voice tone, operation tempo, etc.), it determines the current emotional state (e.g., excitement, relaxation). This analysis result is sent to a server and used as data to influence the progression of the story. As an output, the user's emotional state is reflected in the development of the story.

[0359] Step 4:

[0360] The server integrates user selections and sentiment analysis results to dynamically adjust the story's progression. For example, if the user selects the scenario "Adventure in the Magic Forest" and the sentiment analysis mechanism detects an excited state, the server will generate a more challenging development. This process allows the generative AI model to calculate the next development in the story and generate prompts. As output, the generated story development is sent to the terminal and presented to the user.

[0361] Step 5:

[0362] The user receives a preview of the story through their device. The preview includes text and associated visual content. If the user requests revisions, the device sends the request to the server. The revisions are treated as input data, the server reconstructs the story, and sends a new story preview to the device. The completed story is provided as output.

[0363] Step 6:

[0364] The server outputs the completed story in the specified format (e.g., PDF or EPUB) and provides it to the user. If the user wishes to share it on an external information dissemination platform, links and export options for that purpose are also generated. As a final output, the story is sent to the device in a format that allows for local storage or online sharing.

[0365] (Application Example 2)

[0366] 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."

[0367] Conventional story generation systems have faced challenges in providing personalized experiences because they struggle to adjust stories in real time to suit the individual emotional state of users. Furthermore, the stories and visual elements selected by users cannot appropriately change based on emotional feedback, resulting in limited user satisfaction. It is necessary to improve this situation and provide a dynamic story experience that responds to the user's emotional state.

[0368] 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.

[0369] In this invention, the server includes means for identifying the user's emotional state in real time, a device for further adjusting the narrative development and visual representation based on that emotional state, and means for optimizing the display and design of selection items based on the user's interaction. This makes it possible to provide a dynamic and personalized story that is in line with the user's emotions.

[0370] A "user interface" is a means for a user to interact with an information system, enabling them to input profiles and manipulate options.

[0371] A "user profile" is a collection of information that expresses each user's individual settings and preferences, and serves as the basis for customizing the story's development and visual presentation.

[0372] "Options" are choices provided to the user to dynamically select how the story progresses.

[0373] "Narrative development" refers to constructing the progression and flow of a story, which is generated step by step based on the user's selection.

[0374] "Visual representation" refers to visual elements related to a story, intended to complement the user's presentation and experience.

[0375] "Electronic content" refers to a collection of information that can be stored or output in digital format, including completed story data.

[0376] "Emotional state" refers to the expression of emotions that a user displays when interacting with an information system, and is identified through facial recognition and voice tone analysis.

[0377] An "information provision platform" is a foundation for sharing electronic content with other users and systems.

[0378] The system for implementing the present invention first requires a hardware configuration including a server, a terminal, and an emotion engine. The server maintains a database that manages user profile information and has the function of dynamically generating narrative developments and visual representations based on the user profile. The terminal plays the role of providing a user interface for the user to set up their profile and interact with the system.

[0379] The emotion engine uses the camera and microphone built into smartphones and other devices to analyze the user's emotional state in real time. Specifically, it uses APIs from Google Cloud Vision and IBM Watson to analyze facial expressions and voice tone to identify the user's current emotions. Based on this emotion data, the server adjusts the story content to provide the most suitable narrative experience for the user.

[0380] For example, if a user chooses the theme "Magical Adventure," the emotion engine can detect their excitement from their facial expressions and voice, and the server can suggest a more challenging storyline. Conversely, if a relaxed state is detected, a gentler storyline will be presented. This ensures that users always experience a story that matches their emotions.

[0381] An example of a prompt message would be, "You stand at the entrance to another world. A fantastical landscape unfolds around you, and your excitement for an unknown adventure grows. Let's begin your story based on this phrase." This format allows the system to provide an introduction that matches the theme of the story chosen by the user. In this way, the user receives a personalized and rich story delivered by the generative AI model.

[0382] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0383] Step 1:

[0384] The device displays an interface screen for the user to enter profile information. Once the user enters profile information such as age group and preferred stories, that data is sent to the server. The input is the user's profile information, and the output is the initial setting of an appropriate story based on that information.

[0385] Step 2:

[0386] The server generates initial story options and visual materials to be offered to the user based on the received profile information. Specifically, it selects storylines and visuals from the content database that match the user's profile. The input is the user's profile information, and the output is the story setting based on that information.

[0387] Step 3:

[0388] The terminal displays story options provided by the server to the user. When the user selects an option, it sends that selection to the server. The input is the story options from the server, and the output is the story option selected by the user.

[0389] Step 4:

[0390] The emotion engine uses the smartphone's camera and microphone to analyze the user's emotional state in real time. Specifically, it uses APIs from Google Cloud Vision and IBM Watson to identify facial expressions and voice tone, and sends the emotional data to the server. The input is the user's emotional expression, and the output is the analyzed emotional data.

[0391] Step 5:

[0392] The server dynamically adjusts the story content using data from the emotion engine. If the user indicates excitement, the system selects a challenging plot; if relaxed, it selects a calmer plot. The input is emotion data and the current story status, and the output is the adjusted story content.

[0393] Step 6:

[0394] The terminal visually previews the adjusted story content to the user and asks for their confirmation. It also provides an opportunity to save the final completed story in an electronic format. The input is the final story content from the server, and the output is the content confirmed by the user and the saved format.

[0395] Step 7:

[0396] Users can share their completed stories with external information sharing platforms. The server uses a generative AI model to convert the story into a format suitable for the user's chosen sharing destination and then transmits it. The input is the user's sharing destination information, and the output is appropriately formatted story content.

[0397] 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.

[0398] 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.

[0399] 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.

[0400] [Third Embodiment]

[0401] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0402] 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.

[0403] 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).

[0404] 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.

[0405] 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.

[0406] 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).

[0407] 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.

[0408] 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.

[0409] 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.

[0410] 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.

[0411] 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.

[0412] 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".

[0413] This invention relates to a system for users to easily create customized stories and picture books. The system includes a server, a terminal, and a series of processes based on user interaction.

[0414] The server first prepares a content database containing various storylines and visual materials. This data is categorized by age group, genre, character characteristics, etc., enabling selection based on the user's profile.

[0415] The device provides the user with a profile settings screen via its user interface. On this screen, the user enters information such as their age, preferred genres, and areas of interest. This profile information is sent to the server and used to provide a user-specific experience.

[0416] Next, the server generates story options that match the user profile. These options include various story beginnings, plot developments, and character interactions. The terminal displays these options to the user, allowing them to choose the one they are most interested in.

[0417] When a user makes a selection, the server dynamically generates the next story development and associated visual representations based on that selection. As the user continues to make choices, the story is constructed sequentially, eventually forming a coherent narrative and a collection of associated images.

[0418] The system provides users with a preview via their device at each stage of the story's completion. This preview allows users to check each story development and illustration, and make corrections or changes as needed.

[0419] Finally, the server generates the completed picture book in a storable format, such as PDF or digital image. Users can then save it locally or send it to an external platform for sharing or publishing.

[0420] As a concrete example, consider a user creating a fantasy story for a 7-year-old child. When this user selects the story development "An Adventure in the Magical Forest," the system displays character and illustration options that fit that theme. The user chooses a wizard character and then selects "A Trial at the Castle" as the next development. In this way, the story is automatically constructed based on the user's choices, and an original picture book is completed.

[0421] The following describes the processing flow.

[0422] Step 1:

[0423] The server prepares a content database tailored to each user's individual profile. This database contains story plots and visual materials categorized by age, genre, and theme.

[0424] Step 2:

[0425] The device displays a profile settings screen to the user. The user enters information such as age, preferred genres, and topics of interest. This information is sent to the server and used to provide a user-specific experience.

[0426] Step 3:

[0427] The server generates story options that match the user profile. These include choices for the story's beginning, development, and characters.

[0428] Step 4:

[0429] The device displays the user with options for the generated story. The user selects an option that interests them and directs the story's progression.

[0430] Step 5:

[0431] The server dynamically generates the next story development and associated visual representations based on the user's choices. This process is repeated until the user has completed all their choices.

[0432] Step 6:

[0433] The device provides users with a preview of the completed story, allowing them to review the story and illustrations and make any necessary revisions.

[0434] Step 7:

[0435] The server generates the stories that users have reviewed in a savable format, such as PDF. In this format, users can save, share, or publish the content locally.

[0436] (Example 1)

[0437] 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."

[0438] Conventional story generation systems have struggled to seamlessly generate dynamic story developments based on user-selected narrative progression. Furthermore, they lacked the technology to suggest optimal visual representations based on user choices, generate prompts through interaction, and continuously improve the story content. This limited the immersive experience and customizability of the stories. Additionally, there is a need for methods to easily save generated stories and share them with external devices.

[0439] 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.

[0440] In this invention, the server includes means for acquiring user information, means for dynamically generating narrative progression and visual representations based on the acquired information, and means for previewing the narrative and utilizing a generation AI model. This enables real-time story updates based on user selection and optimization of the elements involved. As a result, the generation of high-quality, customized narratives and the saving and sharing of the generated works are smoothly realized.

[0441] A "user interface" refers to a screen-like device that allows users to interact with a system and input information.

[0442] "User information" refers to specific information about a user, such as age, interests, and preferred genres.

[0443] "Story progression" refers to the developments and flow of a story from its beginning to its end.

[0444] "Visual representation" refers to graphic elements such as characters and backgrounds related to the story.

[0445] A "generative AI model" refers to an engineering program that generates stories and visual effects based on user selections.

[0446] "Preview" refers to a display function that allows users to see part or all of a constructed story in advance.

[0447] A "digital work" refers to the final generated narrative and the collection of associated visual materials.

[0448] "External device" refers to a third-party platform or device used to store or share digital works.

[0449] A "prompt sentence" is a sentence used in a generative AI model, referring to an instruction sentence that suggests the direction and content of story generation.

[0450] This invention is a system that allows users to generate customizable stories and digital works. The system is comprised of a server, a terminal, and user interaction. The operation of each element is described below.

[0451] The server first prepares a database for managing various content data. This database includes story developments, character characteristics, and visual materials, which are categorized based on age group, genre, and interests. Upon receiving user information, the server generates suitable story options based on this information. A generative AI model is used for dynamic story generation, suggesting narrative progression and visual representations based on the user's selection.

[0452] The device interacts directly with the user through its user interface. The user profile settings screen allows users to input their age and interests, and send this information to the server. The device visually presents story options provided by the server to the user, designed to encourage interest and selection. Furthermore, the device displays a real-time preview of the story, providing the user with opportunities to modify or re-select their choices.

[0453] Users can build their own unique stories by selecting story options according to their interests and preferences. The selected information is sent to the server and reflected in the next development of the story. This enables the generation of consistently customized stories.

[0454] For example, if a user selects the theme "space exploration" and then chooses the plot "landing on an unknown planet," the system will present graphics of a spaceship and the unknown planet based on those selections. Furthermore, by processing a prompt like "encounter with aliens" using a generating AI model, an interesting development can be provided to the user.

[0455] An example of a prompt is, "Create a space-themed story for a 10-year-old child. Please include a scene where the main character arrives on a new planet." Based on this prompt, the generative AI model develops the story. The story dynamically changes based on the user's choices, and can ultimately be saved and shared as completed digital content.

[0456] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0457] Step 1:

[0458] The terminal displays a user interface for receiving input from the user. On this screen, the user enters information such as age, preferred genres, and topics of interest. The entered information is sent to the server as user information. The server receives the user information as input data and uses it to refine the options in the database.

[0459] Step 2:

[0460] The server generates suitable story options based on the received user information. Specifically, it utilizes a generative AI model to combine elements such as the story's beginning, development, and character interactions to create a list of possible options. In this process, it retrieves relevant content from the database and generates options optimized for the profile as output data.

[0461] Step 3:

[0462] The terminal displays story options received from the server to the user. These options are presented in a visually clear manner. The user then selects a story development that interests them from these options. The selected data is sent back to the server and used as input data for the next process.

[0463] Step 4:

[0464] The server dynamically generates the next development based on the story selected by the user. A generative AI model processes the selected data and constructs a new story development and visual representation. As a result, a customized story development that reflects the user's selection is generated as output data.

[0465] Step 5:

[0466] The terminal provides the user with a preview of each stage of the system-generated story. The user can review the preview and make modifications as needed. In this process, the terminal receives user feedback as input data, and the server readjusts the output data based on that feedback.

[0467] Step 6:

[0468] The server generates the completed story, based on the user's selections, in a savable format (PDF or digital image). The final generated digital content is sent to the terminal as output data, allowing the user to save it locally or share it with external devices.

[0469] (Application Example 1)

[0470] 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."

[0471] Conventional story generation systems have struggled to automatically generate stories tailored to individual user preferences, and have been unable to provide dynamic experiences, particularly through voice input or real-time interaction. Furthermore, limited visual feedback has created a need for intuitive interfaces, especially for children.

[0472] 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.

[0473] In this invention, the server includes means for acquiring a user profile via a user interface, means for dynamically generating an appropriate narrative development and visual representation from pre-configured options based on the acquired user profile, and means for processing the user's voice input using a speech recognition device and managing the profile. This enables intuitive operation through the user's language input and the generation of individually customized narratives.

[0474] A "user interface" provides a means for users to interact with the system, enabling them to input profile information and select stories.

[0475] A "user profile" is information that shows the individual attributes and preferences of a user, and is used as basic data for generating narratives.

[0476] "Narrative development" refers to elements that indicate the progression and changes in a story generated based on a selected theme.

[0477] "Visual representation" includes illustrations and graphics related to the generated story, and is intended to visually represent the narrative.

[0478] A "speech recognition device" is a device that captures a user's voice input and converts it into text data.

[0479] An "intuitive interface" refers to an interface that includes a design and navigation that users can operate intuitively, and is particularly easy for children to understand.

[0480] To implement this invention, a system is constructed based on the interaction between a server, a terminal, and the user. The server acquires a user profile entered through the user interface and dynamically generates a narrative development and visual representation based on it. The server incorporates speech recognition software using Python and a dynamic story generation model utilizing TensorFlow. The terminal is designed especially for children to allow users to intuitively operate the interface using voice and touch controls.

[0481] Users can give voice commands to the system through their device; for example, if they specify they want a "pirate adventure," they can obtain a corresponding story and visual materials. The voice is captured by the device's microphone and converted to text via the Google Speech-to-Text API. The user's selections are sent to the server in real time, and the results are displayed on a robot display or speaker powered by a Raspberry Pi.

[0482] For example, if a user selects the theme "Adventure in the Magical Forest" and gives the instruction "Next, explore the castle," the system will display characters and illustrations appropriate to that scene and advance the story accordingly. Another example of a prompt to the generation AI model is, "Generate a fantasy story for a 7-year-old child. The character is a wizard, and the theme is 'Adventure in the Magical Forest.'" When this prompt is given to the AI ​​model, the corresponding story is generated.

[0483] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0484] Step 1:

[0485] The device collects user voice input through the user interface. The user specifies the story's theme and progression by voice. This voice data is captured via the microphone and sent as input to the Google Speech-to-Text API. The API converts the voice data into text data and returns the result to the device.

[0486] Step 2:

[0487] The device sends the converted text data to the server. The server links this text data with user profile information. The profile includes age, interests, etc., and the server uses this to generate the most suitable story options. Based on the selected theme, prompt sentences are sent to the generating AI model, which generates story candidates.

[0488] Step 3:

[0489] The server receives story candidates returned by the AI ​​generation model and sends them back to the terminal. The terminal prepares relevant visual materials, such as the beginning of the story and character visuals, and presents them to the user. At this point, the user can view the screen to confirm the next options and select a specific scene or character.

[0490] Step 4:

[0491] Once the user selects the next story development, the device sends that selection back to the server. The server then feeds a new prompt to the AI ​​model, which generates the next stage of the story. This generated story information, along with visual materials, is then provided to the device.

[0492] Step 5:

[0493] The device displays a new story development and visual representation generated based on the user's choices. The user repeats this process until the entire story takes a satisfactory form. Finally, if the user chooses to complete the story, the server integrates the digital content and generates it in a storable format.

[0494] Step 6:

[0495] Users can choose to save their completed digital content locally or send it to a specific external platform through the device's interface. This operation is performed using intuitive button controls, making content sharing easy.

[0496] 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.

[0497] This invention provides a system that combines an emotion engine to enable users to create more personalized stories and picture books. The system includes a server, a terminal, and an emotion engine.

[0498] The server maintains a content database that manages diverse storylines and visual materials based on each user's profile. This database is categorized by genre and age group, and is designed to facilitate the provision of initial choices.

[0499] The terminal provides a screen for configuring profile settings through a user interface. Once the user enters their profile information, that data is sent to a server and used to generate story options suggested by the system based on the user's interactions.

[0500] The emotion engine recognizes the user's emotions in real time. Using cameras and sensor devices, it analyzes facial expressions, voice tone, and input actions to identify the emotions the user is currently feeling. The results are used as input to further customize the narrative development and visual experience.

[0501] As an example, consider a scenario where a user creates a story with the theme "Adventure in the Magical Forest." If the user chooses "Forest Entrance" as their initial option, and the emotion engine detects a high level of excitement in the user, the system will display more challenging options. Conversely, if the emotion engine determines that the user is relaxed, it will suggest a gentler progression, providing an experience that resonates with the user's feelings.

[0502] The system provides a preview of the story via a terminal at each stage of its completion. This allows users to check illustrations and story content and make corrections or changes as needed. Finally, the server outputs the completed story in the user's preferred format, allowing users to save their work locally or share it on external platforms. This enables users to enjoy a rich interactive storytelling experience without requiring any special technical knowledge.

[0503] The following describes the processing flow.

[0504] Step 1:

[0505] The server activates a content database, classifying storylines and visual materials by genre and age group. Using this database, it prepares to provide users with appropriate choices.

[0506] Step 2:

[0507] The device displays a profile settings screen via its user interface. The user enters information such as age, preferred genres, and topics of interest, and sends this information to the server.

[0508] Step 3:

[0509] The emotion engine uses the camera and microphone to analyze the user's facial expressions and tone of voice, recognizing the user's emotions in real time.

[0510] Step 4:

[0511] The server generates the story's opening scene and related choices based on the user's profile information and results from the emotion engine. The generated choices are dynamically adjusted based on the user's emotions.

[0512] Step 5:

[0513] The device displays generated story options to the user. The user selects an option that interests them and directs the story's progression.

[0514] Step 6:

[0515] The server generates the next story development and visual representation based on the selected choices, continuously adjusting them while monitoring the user's emotional changes.

[0516] Step 7:

[0517] The device provides a preview of the story, allowing users to review the story and illustrations and make necessary modifications.

[0518] Step 8:

[0519] The server generates the final story in a user-specified format. The user can then save it locally or share it to their preferred external platform.

[0520] (Example 2)

[0521] 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."

[0522] In the modern era, generating interactive digital narratives that deliver personalized user experiences requires significant time and expertise. Dynamically adjusting narratives based on user emotional states is particularly technically challenging and extremely difficult. Furthermore, the lack of readily available means for easily sharing completed content with external platforms poses another challenge.

[0523] 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.

[0524] In this invention, the server includes means for acquiring personal information via a user interface, means for dynamically generating appropriate narrative development and visual representation from pre-set options based on the acquired personal information, and means for analyzing the user's emotional state in real time and automatically adjusting the progression of the story. As a result, users can enjoy an emotionally engaging interactive narrative experience without requiring special technical knowledge, and can easily share the completed digital content on external platforms.

[0525] "User interface" refers to the visual or manipulative means by which a user interacts with a system.

[0526] "Personal information" refers to data that is unique to a user, including age, interests and preferences, and past preferences.

[0527] "Story development" refers to the progression and structure of the story, and the flow of the narrative that changes depending on the user's choices and emotional state.

[0528] "Visual representation" refers to content that is presented visually, such as illustrations and animations related to the progression of a story.

[0529] "Emotional state" refers to the user's current psychological or emotional condition, and analyzing this allows for the provision of a personalized experience.

[0530] "Emotional analysis" refers to the process of identifying a user's emotional state by analyzing their facial expressions, tone of voice, and input actions.

[0531] "Dynamic adjustment" refers to the act of changing the story's setting and progression in real time to provide an experience that is tailored to the user's current situation.

[0532] "Digital content" refers to information in digital format generated through a system, such as stories and related materials that users can ultimately save or share.

[0533] An "external information dissemination platform" refers to an online mechanism or structure for sharing completed digital content with other users and platforms.

[0534] This invention provides a system that allows users to create personalized, interactive stories. The system mainly includes a server, a terminal, and an emotion analysis mechanism.

[0535] The server is equipped with a powerful database management system that manages stories and visual content tailored to genre and age group. This database is used to provide optimal story selections based on user profiles. The server also processes emotional data in real time and dynamically adjusts the story's progression.

[0536] The device provides a screen for the user to enter their profile via a user interface. The interface is designed for intuitive operation, allowing users to easily start creating stories without any special technical knowledge. After the user profile is entered, the device sends this data to the server and displays suggested story options.

[0537] The emotion analysis mechanism uses cameras and sensors to analyze the user's emotional state in real time. It analyzes facial expressions, voice tone, and data from input devices to determine the user's state of excitement, relaxation, interest, and other factors. This enables a more personalized narrative experience.

[0538] As a concrete example, consider the case where the user selects the theme "Adventure in the Magical Forest." If the user chooses "Forest Entrance" as an initial option and the emotion analysis system measures the user's level of excitement as high, the server will present a more challenging scenario. On the other hand, if the emotion analysis system determines that the user is relaxed, a calmer episode will be presented.

[0539] Furthermore, as an example of a prompt to the generating AI model, input such as "What trials await the protagonist at the end of the path they have chosen?" will be entered, and the system will automatically generate the next development of the story. In this way, users can enjoy a rich interactive storytelling experience.

[0540] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0541] Step 1:

[0542] The server receives profile data entered by the user from the terminal. This profile data includes information such as age, genres of interest, and past story preferences. The server uses this input data to search the content database and generate initial choices of suitable stories. As output, it sends a list of candidate stories extracted from the database to the terminal.

[0543] Step 2:

[0544] The terminal presents the user with a list of story options received from the server. The user selects a story option from the list that interests them. Based on this selection, the terminal sends the selected story path back to the server. The data from the selection is processed as input, and the server calculates a story progression that matches the user's preferences. This result is received as output, and the next stage of the story is presented.

[0545] Step 3:

[0546] The emotion analysis mechanism analyzes the user's emotional state in real time. Based on data input from cameras and sensors (facial expressions, voice tone, operation tempo, etc.), it determines the current emotional state (e.g., excitement, relaxation). This analysis result is sent to a server and used as data to influence the progression of the story. As an output, the user's emotional state is reflected in the development of the story.

[0547] Step 4:

[0548] The server integrates user selections and sentiment analysis results to dynamically adjust the story's progression. For example, if the user selects the scenario "Adventure in the Magic Forest" and the sentiment analysis mechanism detects an excited state, the server will generate a more challenging development. This process allows the generative AI model to calculate the next development in the story and generate prompts. As output, the generated story development is sent to the terminal and presented to the user.

[0549] Step 5:

[0550] The user receives a preview of the story through their device. The preview includes text and associated visual content. If the user requests revisions, the device sends the request to the server. The revisions are treated as input data, the server reconstructs the story, and sends a new story preview to the device. The completed story is provided as output.

[0551] Step 6:

[0552] The server outputs the completed story in the specified format (e.g., PDF or EPUB) and provides it to the user. If the user wishes to share it on an external information dissemination platform, links and export options for that purpose are also generated. As a final output, the story is sent to the device in a format that allows for local storage or online sharing.

[0553] (Application Example 2)

[0554] 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."

[0555] Conventional story generation systems have faced challenges in providing personalized experiences because they struggle to adjust stories in real time to suit the individual emotional state of users. Furthermore, the stories and visual elements selected by users cannot appropriately change based on emotional feedback, resulting in limited user satisfaction. It is necessary to improve this situation and provide a dynamic story experience that responds to the user's emotional state.

[0556] 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.

[0557] In this invention, the server includes means for identifying the user's emotional state in real time, a device for further adjusting the narrative development and visual representation based on that emotional state, and means for optimizing the display and design of selection items based on the user's interaction. This makes it possible to provide a dynamic and personalized story that is in line with the user's emotions.

[0558] A "user interface" is a means for a user to interact with an information system, enabling them to input profiles and manipulate options.

[0559] A "user profile" is a collection of information that expresses each user's individual settings and preferences, and serves as the basis for customizing the story's development and visual presentation.

[0560] "Options" are choices provided to the user to dynamically select how the story progresses.

[0561] "Narrative development" refers to constructing the progression and flow of a story, which is generated step by step based on the user's selection.

[0562] "Visual representation" refers to visual elements related to a story, intended to complement the user's presentation and experience.

[0563] "Electronic content" refers to a collection of information that can be stored or output in digital format, including completed story data.

[0564] "Emotional state" refers to the expression of emotions that a user displays when interacting with an information system, and is identified through facial recognition and voice tone analysis.

[0565] An "information provision platform" is a foundation for sharing electronic content with other users and systems.

[0566] The system for implementing the present invention first requires a hardware configuration including a server, a terminal, and an emotion engine. The server maintains a database that manages user profile information and has the function of dynamically generating narrative developments and visual representations based on the user profile. The terminal plays the role of providing a user interface for the user to set up their profile and interact with the system.

[0567] The emotion engine uses the camera and microphone built into smartphones and other devices to analyze the user's emotional state in real time. Specifically, it uses APIs from Google Cloud Vision and IBM Watson to analyze facial expressions and voice tone to identify the user's current emotions. Based on this emotion data, the server adjusts the story content to provide the most suitable narrative experience for the user.

[0568] For example, if a user chooses the theme "Magical Adventure," the emotion engine can detect their excitement from their facial expressions and voice, and the server can suggest a more challenging storyline. Conversely, if a relaxed state is detected, a gentler storyline will be presented. This ensures that users always experience a story that matches their emotions.

[0569] An example of a prompt message would be, "You stand at the entrance to another world. A fantastical landscape unfolds around you, and your excitement for an unknown adventure grows. Let's begin your story based on this phrase." This format allows the system to provide an introduction that matches the theme of the story chosen by the user. In this way, the user receives a personalized and rich story delivered by the generative AI model.

[0570] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0571] Step 1:

[0572] The device displays an interface screen for the user to enter profile information. Once the user enters profile information such as age group and preferred stories, that data is sent to the server. The input is the user's profile information, and the output is the initial setting of an appropriate story based on that information.

[0573] Step 2:

[0574] The server generates initial story options and visual materials to be offered to the user based on the received profile information. Specifically, it selects storylines and visuals from the content database that match the user's profile. The input is the user's profile information, and the output is the story setting based on that information.

[0575] Step 3:

[0576] The terminal displays story options provided by the server to the user. When the user selects an option, it sends that selection to the server. The input is the story options from the server, and the output is the story option selected by the user.

[0577] Step 4:

[0578] The emotion engine uses the smartphone's camera and microphone to analyze the user's emotional state in real time. Specifically, it uses APIs from Google Cloud Vision and IBM Watson to identify facial expressions and voice tone, and sends the emotional data to the server. The input is the user's emotional expression, and the output is the analyzed emotional data.

[0579] Step 5:

[0580] The server dynamically adjusts the story content using data from the emotion engine. If the user indicates excitement, the system selects a challenging plot; if relaxed, it selects a calmer plot. The input is emotion data and the current story status, and the output is the adjusted story content.

[0581] Step 6:

[0582] The terminal visually previews the adjusted story content to the user and asks for their confirmation. It also provides an opportunity to save the final completed story in an electronic format. The input is the final story content from the server, and the output is the content confirmed by the user and the saved format.

[0583] Step 7:

[0584] Users can share their completed stories with external information sharing platforms. The server uses a generative AI model to convert the story into a format suitable for the user's chosen sharing destination and then transmits it. The input is the user's sharing destination information, and the output is appropriately formatted story content.

[0585] 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.

[0586] 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.

[0587] 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.

[0588] [Fourth Embodiment]

[0589] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0590] 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.

[0591] 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).

[0592] 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.

[0593] 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.

[0594] 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).

[0595] 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.

[0596] 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.

[0597] 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.

[0598] 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.

[0599] 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.

[0600] 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.

[0601] 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".

[0602] This invention relates to a system for users to easily create customized stories and picture books. The system includes a server, a terminal, and a series of processes based on user interaction.

[0603] The server first prepares a content database containing various storylines and visual materials. This data is categorized by age group, genre, character characteristics, etc., enabling selection based on the user's profile.

[0604] The device provides the user with a profile settings screen via its user interface. On this screen, the user enters information such as their age, preferred genres, and areas of interest. This profile information is sent to the server and used to provide a user-specific experience.

[0605] Next, the server generates story options that match the user profile. These options include various story beginnings, plot developments, and character interactions. The terminal displays these options to the user, allowing them to choose the one they are most interested in.

[0606] When a user makes a selection, the server dynamically generates the next story development and associated visual representations based on that selection. As the user continues to make choices, the story is constructed sequentially, eventually forming a coherent narrative and a collection of associated images.

[0607] The system provides users with a preview via their device at each stage of the story's completion. This preview allows users to check each story development and illustration, and make corrections or changes as needed.

[0608] Finally, the server generates the completed picture book in a storable format, such as PDF or digital image. Users can then save it locally or send it to an external platform for sharing or publishing.

[0609] As a concrete example, consider a user creating a fantasy story for a 7-year-old child. When this user selects the story development "An Adventure in the Magical Forest," the system displays character and illustration options that fit that theme. The user chooses a wizard character and then selects "A Trial at the Castle" as the next development. In this way, the story is automatically constructed based on the user's choices, and an original picture book is completed.

[0610] The following describes the processing flow.

[0611] Step 1:

[0612] The server prepares a content database tailored to each user's individual profile. This database contains story plots and visual materials categorized by age, genre, and theme.

[0613] Step 2:

[0614] The device displays a profile settings screen to the user. The user enters information such as age, preferred genres, and topics of interest. This information is sent to the server and used to provide a user-specific experience.

[0615] Step 3:

[0616] The server generates story options that match the user profile. These include choices for the story's beginning, development, and characters.

[0617] Step 4:

[0618] The device displays the user with options for the generated story. The user selects an option that interests them and directs the story's progression.

[0619] Step 5:

[0620] The server dynamically generates the next story development and associated visual representations based on the user's choices. This process is repeated until the user has completed all their choices.

[0621] Step 6:

[0622] The device provides users with a preview of the completed story, allowing them to review the story and illustrations and make any necessary revisions.

[0623] Step 7:

[0624] The server generates the stories that users have reviewed in a savable format, such as PDF. In this format, users can save, share, or publish the content locally.

[0625] (Example 1)

[0626] 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".

[0627] Conventional story generation systems have struggled to seamlessly generate dynamic story developments based on user-selected narrative progression. Furthermore, they lacked the technology to suggest optimal visual representations based on user choices, generate prompts through interaction, and continuously improve the story content. This limited the immersive experience and customizability of the stories. Additionally, there is a need for methods to easily save generated stories and share them with external devices.

[0628] 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.

[0629] In this invention, the server includes means for acquiring user information, means for dynamically generating narrative progression and visual representations based on the acquired information, and means for previewing the narrative and utilizing a generation AI model. This enables real-time story updates based on user selection and optimization of the elements involved. As a result, the generation of high-quality, customized narratives and the saving and sharing of the generated works are smoothly realized.

[0630] A "user interface" refers to a screen-like device that allows users to interact with a system and input information.

[0631] "User information" refers to specific information about a user, such as age, interests, and preferred genres.

[0632] "Story progression" refers to the developments and flow of a story from its beginning to its end.

[0633] "Visual representation" refers to graphic elements such as characters and backgrounds related to the story.

[0634] A "generative AI model" refers to an engineering program that generates stories and visual effects based on user selections.

[0635] "Preview" refers to a display function that allows users to see part or all of a constructed story in advance.

[0636] A "digital work" refers to the final generated narrative and the collection of associated visual materials.

[0637] "External device" refers to a third-party platform or device used to store or share digital works.

[0638] A "prompt sentence" is a sentence used in a generative AI model, referring to an instruction sentence that suggests the direction and content of story generation.

[0639] This invention is a system that allows users to generate customizable stories and digital works. The system is comprised of a server, a terminal, and user interaction. The operation of each element is described below.

[0640] The server first prepares a database for managing various content data. This database includes story developments, character characteristics, and visual materials, which are categorized based on age group, genre, and interests. Upon receiving user information, the server generates suitable story options based on this information. A generative AI model is used for dynamic story generation, suggesting narrative progression and visual representations based on the user's selection.

[0641] The device interacts directly with the user through its user interface. The user profile settings screen allows users to input their age and interests, and send this information to the server. The device visually presents story options provided by the server to the user, designed to encourage interest and selection. Furthermore, the device displays a real-time preview of the story, providing the user with opportunities to modify or re-select their choices.

[0642] Users can build their own unique stories by selecting story options according to their interests and preferences. The selected information is sent to the server and reflected in the next development of the story. This enables the generation of consistently customized stories.

[0643] For example, if a user selects the theme "space exploration" and then chooses the plot "landing on an unknown planet," the system will present graphics of a spaceship and the unknown planet based on those selections. Furthermore, by processing a prompt like "encounter with aliens" using a generating AI model, an interesting development can be provided to the user.

[0644] An example of a prompt is, "Create a space-themed story for a 10-year-old child. Please include a scene where the main character arrives on a new planet." Based on this prompt, the generative AI model develops the story. The story dynamically changes based on the user's choices, and can ultimately be saved and shared as completed digital content.

[0645] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0646] Step 1:

[0647] The terminal displays a user interface for receiving input from the user. On this screen, the user enters information such as age, preferred genres, and topics of interest. The entered information is sent to the server as user information. The server receives the user information as input data and uses it to refine the options in the database.

[0648] Step 2:

[0649] The server generates suitable story options based on the received user information. Specifically, it utilizes a generative AI model to combine elements such as the story's beginning, development, and character interactions to create a list of possible options. In this process, it retrieves relevant content from the database and generates options optimized for the profile as output data.

[0650] Step 3:

[0651] The terminal displays story options received from the server to the user. These options are presented in a visually clear manner. The user then selects a story development that interests them from these options. The selected data is sent back to the server and used as input data for the next process.

[0652] Step 4:

[0653] The server dynamically generates the next development based on the story selected by the user. A generative AI model processes the selected data and constructs a new story development and visual representation. As a result, a customized story development that reflects the user's selection is generated as output data.

[0654] Step 5:

[0655] The terminal provides the user with a preview of each stage of the system-generated story. The user can review the preview and make modifications as needed. In this process, the terminal receives user feedback as input data, and the server readjusts the output data based on that feedback.

[0656] Step 6:

[0657] The server generates the completed story, based on the user's selections, in a savable format (PDF or digital image). The final generated digital content is sent to the terminal as output data, allowing the user to save it locally or share it with external devices.

[0658] (Application Example 1)

[0659] 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".

[0660] Conventional story generation systems have struggled to automatically generate stories tailored to individual user preferences, and have been unable to provide dynamic experiences, particularly through voice input or real-time interaction. Furthermore, limited visual feedback has created a need for intuitive interfaces, especially for children.

[0661] 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.

[0662] In this invention, the server includes means for acquiring a user profile via a user interface, means for dynamically generating an appropriate narrative development and visual representation from pre-configured options based on the acquired user profile, and means for processing the user's voice input using a speech recognition device and managing the profile. This enables intuitive operation through the user's language input and the generation of individually customized narratives.

[0663] A "user interface" provides a means for users to interact with the system, enabling them to input profile information and select stories.

[0664] A "user profile" is information that shows the individual attributes and preferences of a user, and is used as basic data for generating narratives.

[0665] "Narrative development" refers to elements that indicate the progression and changes in a story generated based on a selected theme.

[0666] "Visual representation" includes illustrations and graphics related to the generated story, and is intended to visually represent the narrative.

[0667] A "speech recognition device" is a device that captures a user's voice input and converts it into text data.

[0668] An "intuitive interface" refers to an interface that includes a design and navigation that users can operate intuitively, and is particularly easy for children to understand.

[0669] To implement this invention, a system is constructed based on the interaction between a server, a terminal, and the user. The server acquires a user profile entered through the user interface and dynamically generates a narrative development and visual representation based on it. The server incorporates speech recognition software using Python and a dynamic story generation model utilizing TensorFlow. The terminal is designed especially for children to allow users to intuitively operate the interface using voice and touch controls.

[0670] Users can give voice commands to the system through their device; for example, if they specify they want a "pirate adventure," they can obtain a corresponding story and visual materials. The voice is captured by the device's microphone and converted to text via the Google Speech-to-Text API. The user's selections are sent to the server in real time, and the results are displayed on a robot display or speaker powered by a Raspberry Pi.

[0671] For example, if a user selects the theme "Adventure in the Magical Forest" and gives the instruction "Next, explore the castle," the system will display characters and illustrations appropriate to that scene and advance the story accordingly. Another example of a prompt to the generation AI model is, "Generate a fantasy story for a 7-year-old child. The character is a wizard, and the theme is 'Adventure in the Magical Forest.'" When this prompt is given to the AI ​​model, the corresponding story is generated.

[0672] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0673] Step 1:

[0674] The device collects user voice input through the user interface. The user specifies the story's theme and progression by voice. This voice data is captured via the microphone and sent as input to the Google Speech-to-Text API. The API converts the voice data into text data and returns the result to the device.

[0675] Step 2:

[0676] The device sends the converted text data to the server. The server links this text data with user profile information. The profile includes age, interests, etc., and the server uses this to generate the most suitable story options. Based on the selected theme, prompt sentences are sent to the generating AI model, which generates story candidates.

[0677] Step 3:

[0678] The server receives story candidates returned by the AI ​​generation model and sends them back to the terminal. The terminal prepares relevant visual materials, such as the beginning of the story and character visuals, and presents them to the user. At this point, the user can view the screen to confirm the next options and select a specific scene or character.

[0679] Step 4:

[0680] Once the user selects the next story development, the device sends that selection back to the server. The server then feeds a new prompt to the AI ​​model, which generates the next stage of the story. This generated story information, along with visual materials, is then provided to the device.

[0681] Step 5:

[0682] The device displays a new story development and visual representation generated based on the user's choices. The user repeats this process until the entire story takes a satisfactory form. Finally, if the user chooses to complete the story, the server integrates the digital content and generates it in a storable format.

[0683] Step 6:

[0684] Users can choose to save their completed digital content locally or send it to a specific external platform through the device's interface. This operation is performed using intuitive button controls, making content sharing easy.

[0685] 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.

[0686] This invention provides a system that combines an emotion engine to enable users to create more personalized stories and picture books. The system includes a server, a terminal, and an emotion engine.

[0687] The server maintains a content database that manages diverse storylines and visual materials based on each user's profile. This database is categorized by genre and age group, and is designed to facilitate the provision of initial choices.

[0688] The terminal provides a screen for configuring profile settings through a user interface. Once the user enters their profile information, that data is sent to a server and used to generate story options suggested by the system based on the user's interactions.

[0689] The emotion engine recognizes the user's emotions in real time. Using cameras and sensor devices, it analyzes facial expressions, voice tone, and input actions to identify the emotions the user is currently feeling. The results are used as input to further customize the narrative development and visual experience.

[0690] As an example, consider a scenario where a user creates a story with the theme "Adventure in the Magical Forest." If the user chooses "Forest Entrance" as their initial option, and the emotion engine detects a high level of excitement in the user, the system will display more challenging options. Conversely, if the emotion engine determines that the user is relaxed, it will suggest a gentler progression, providing an experience that resonates with the user's feelings.

[0691] The system provides a preview of the story via a terminal at each stage of its completion. This allows users to check illustrations and story content and make corrections or changes as needed. Finally, the server outputs the completed story in the user's preferred format, allowing users to save their work locally or share it on external platforms. This enables users to enjoy a rich interactive storytelling experience without requiring any special technical knowledge.

[0692] The following describes the processing flow.

[0693] Step 1:

[0694] The server activates a content database, classifying storylines and visual materials by genre and age group. Using this database, it prepares to provide users with appropriate choices.

[0695] Step 2:

[0696] The device displays a profile settings screen via its user interface. The user enters information such as age, preferred genres, and topics of interest, and sends this information to the server.

[0697] Step 3:

[0698] The emotion engine uses the camera and microphone to analyze the user's facial expressions and tone of voice, recognizing the user's emotions in real time.

[0699] Step 4:

[0700] The server generates the story's opening scene and related choices based on the user's profile information and results from the emotion engine. The generated choices are dynamically adjusted based on the user's emotions.

[0701] Step 5:

[0702] The device displays generated story options to the user. The user selects an option that interests them and directs the story's progression.

[0703] Step 6:

[0704] The server generates the next story development and visual representation based on the selected choices, continuously adjusting them while monitoring the user's emotional changes.

[0705] Step 7:

[0706] The device provides a preview of the story, allowing users to review the story and illustrations and make necessary modifications.

[0707] Step 8:

[0708] The server generates the final story in a user-specified format. The user can then save it locally or share it to their preferred external platform.

[0709] (Example 2)

[0710] 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".

[0711] In the modern era, generating interactive digital narratives that deliver personalized user experiences requires significant time and expertise. Dynamically adjusting narratives based on user emotional states is particularly technically challenging and extremely difficult. Furthermore, the lack of readily available means for easily sharing completed content with external platforms poses another challenge.

[0712] 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.

[0713] In this invention, the server includes means for acquiring personal information via a user interface, means for dynamically generating appropriate narrative development and visual representation from pre-set options based on the acquired personal information, and means for analyzing the user's emotional state in real time and automatically adjusting the progression of the story. As a result, users can enjoy an emotionally engaging interactive narrative experience without requiring special technical knowledge, and can easily share the completed digital content on external platforms.

[0714] "User interface" refers to the visual or manipulative means by which a user interacts with a system.

[0715] "Personal information" refers to data that is unique to a user, including age, interests and preferences, and past preferences.

[0716] "Story development" refers to the progression and structure of the story, and the flow of the narrative that changes depending on the user's choices and emotional state.

[0717] "Visual representation" refers to content that is presented visually, such as illustrations and animations related to the progression of a story.

[0718] "Emotional state" refers to the user's current psychological or emotional condition, and analyzing this allows for the provision of a personalized experience.

[0719] "Emotional analysis" refers to the process of identifying a user's emotional state by analyzing their facial expressions, tone of voice, and input actions.

[0720] "Dynamic adjustment" refers to the act of changing the story's setting and progression in real time to provide an experience that is tailored to the user's current situation.

[0721] "Digital content" refers to information in digital format generated through a system, such as stories and related materials that users can ultimately save or share.

[0722] An "external information dissemination platform" refers to an online mechanism or structure for sharing completed digital content with other users and platforms.

[0723] This invention provides a system that allows users to create personalized, interactive stories. The system mainly includes a server, a terminal, and an emotion analysis mechanism.

[0724] The server is equipped with a powerful database management system that manages stories and visual content tailored to genre and age group. This database is used to provide optimal story selections based on user profiles. The server also processes emotional data in real time and dynamically adjusts the story's progression.

[0725] The device provides a screen for the user to enter their profile via a user interface. The interface is designed for intuitive operation, allowing users to easily start creating stories without any special technical knowledge. After the user profile is entered, the device sends this data to the server and displays suggested story options.

[0726] The emotion analysis mechanism uses cameras and sensors to analyze the user's emotional state in real time. It analyzes facial expressions, voice tone, and data from input devices to determine the user's state of excitement, relaxation, interest, and other factors. This enables a more personalized narrative experience.

[0727] As a concrete example, consider the case where the user selects the theme "Adventure in the Magical Forest." If the user chooses "Forest Entrance" as an initial option and the emotion analysis system measures the user's level of excitement as high, the server will present a more challenging scenario. On the other hand, if the emotion analysis system determines that the user is relaxed, a calmer episode will be presented.

[0728] Furthermore, as an example of a prompt to the generating AI model, input such as "What trials await the protagonist at the end of the path they have chosen?" will be entered, and the system will automatically generate the next development of the story. In this way, users can enjoy a rich interactive storytelling experience.

[0729] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0730] Step 1:

[0731] The server receives profile data entered by the user from the terminal. This profile data includes information such as age, genres of interest, and past story preferences. The server uses this input data to search the content database and generate initial choices of suitable stories. As output, it sends a list of candidate stories extracted from the database to the terminal.

[0732] Step 2:

[0733] The terminal presents the user with a list of story options received from the server. The user selects a story option from the list that interests them. Based on this selection, the terminal sends the selected story path back to the server. The data from the selection is processed as input, and the server calculates a story progression that matches the user's preferences. This result is received as output, and the next stage of the story is presented.

[0734] Step 3:

[0735] The emotion analysis mechanism analyzes the user's emotional state in real time. Based on data input from cameras and sensors (facial expressions, voice tone, operation tempo, etc.), it determines the current emotional state (e.g., excitement, relaxation). This analysis result is sent to a server and used as data to influence the progression of the story. As an output, the user's emotional state is reflected in the development of the story.

[0736] Step 4:

[0737] The server integrates user selections and sentiment analysis results to dynamically adjust the story's progression. For example, if the user selects the scenario "Adventure in the Magic Forest" and the sentiment analysis mechanism detects an excited state, the server will generate a more challenging development. This process allows the generative AI model to calculate the next development in the story and generate prompts. As output, the generated story development is sent to the terminal and presented to the user.

[0738] Step 5:

[0739] The user receives a preview of the story through their device. The preview includes text and associated visual content. If the user requests revisions, the device sends the request to the server. The revisions are treated as input data, the server reconstructs the story, and sends a new story preview to the device. The completed story is provided as output.

[0740] Step 6:

[0741] The server outputs the completed story in the specified format (e.g., PDF or EPUB) and provides it to the user. If the user wishes to share it on an external information dissemination platform, links and export options for that purpose are also generated. As a final output, the story is sent to the device in a format that allows for local storage or online sharing.

[0742] (Application Example 2)

[0743] 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".

[0744] Conventional story generation systems have faced challenges in providing personalized experiences because they struggle to adjust stories in real time to suit the individual emotional state of users. Furthermore, the stories and visual elements selected by users cannot appropriately change based on emotional feedback, resulting in limited user satisfaction. It is necessary to improve this situation and provide a dynamic story experience that responds to the user's emotional state.

[0745] 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.

[0746] In this invention, the server includes means for identifying the user's emotional state in real time, a device for further adjusting the narrative development and visual representation based on that emotional state, and means for optimizing the display and design of selection items based on the user's interaction. This makes it possible to provide a dynamic and personalized story that is in line with the user's emotions.

[0747] A "user interface" is a means for a user to interact with an information system, enabling them to input profiles and manipulate options.

[0748] A "user profile" is a collection of information that expresses each user's individual settings and preferences, and serves as the basis for customizing the story's development and visual presentation.

[0749] "Options" are choices provided to the user to dynamically select how the story progresses.

[0750] "Narrative development" refers to constructing the progression and flow of a story, which is generated step by step based on the user's selection.

[0751] "Visual representation" refers to visual elements related to a story, intended to complement the user's presentation and experience.

[0752] "Electronic content" refers to a collection of information that can be stored or output in digital format, including completed story data.

[0753] "Emotional state" refers to the expression of emotions that a user displays when interacting with an information system, and is identified through facial recognition and voice tone analysis.

[0754] An "information provision platform" is a foundation for sharing electronic content with other users and systems.

[0755] The system for implementing the present invention first requires a hardware configuration including a server, a terminal, and an emotion engine. The server maintains a database that manages user profile information and has the function of dynamically generating narrative developments and visual representations based on the user profile. The terminal plays the role of providing a user interface for the user to set up their profile and interact with the system.

[0756] The emotion engine uses the camera and microphone built into smartphones and other devices to analyze the user's emotional state in real time. Specifically, it uses APIs from Google Cloud Vision and IBM Watson to analyze facial expressions and voice tone to identify the user's current emotions. Based on this emotion data, the server adjusts the story content to provide the most suitable narrative experience for the user.

[0757] For example, if a user chooses the theme "Magical Adventure," the emotion engine can detect their excitement from their facial expressions and voice, and the server can suggest a more challenging storyline. Conversely, if a relaxed state is detected, a gentler storyline will be presented. This ensures that users always experience a story that matches their emotions.

[0758] An example of a prompt message would be, "You stand at the entrance to another world. A fantastical landscape unfolds around you, and your excitement for an unknown adventure grows. Let's begin your story based on this phrase." This format allows the system to provide an introduction that matches the theme of the story chosen by the user. In this way, the user receives a personalized and rich story delivered by the generative AI model.

[0759] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0760] Step 1:

[0761] The device displays an interface screen for the user to enter profile information. Once the user enters profile information such as age group and preferred stories, that data is sent to the server. The input is the user's profile information, and the output is the initial setting of an appropriate story based on that information.

[0762] Step 2:

[0763] The server generates initial story options and visual materials to be offered to the user based on the received profile information. Specifically, it selects storylines and visuals from the content database that match the user's profile. The input is the user's profile information, and the output is the story setting based on that information.

[0764] Step 3:

[0765] The terminal displays story options provided by the server to the user. When the user selects an option, it sends that selection to the server. The input is the story options from the server, and the output is the story option selected by the user.

[0766] Step 4:

[0767] The emotion engine uses the smartphone's camera and microphone to analyze the user's emotional state in real time. Specifically, it uses APIs from Google Cloud Vision and IBM Watson to identify facial expressions and voice tone, and sends the emotional data to the server. The input is the user's emotional expression, and the output is the analyzed emotional data.

[0768] Step 5:

[0769] The server dynamically adjusts the story content using data from the emotion engine. If the user indicates excitement, the system selects a challenging plot; if relaxed, it selects a calmer plot. The input is emotion data and the current story status, and the output is the adjusted story content.

[0770] Step 6:

[0771] The terminal visually previews the adjusted story content to the user and asks for their confirmation. It also provides an opportunity to save the final completed story in an electronic format. The input is the final story content from the server, and the output is the content confirmed by the user and the saved format.

[0772] Step 7:

[0773] Users can share their completed stories with external information sharing platforms. The server uses a generative AI model to convert the story into a format suitable for the user's chosen sharing destination and then transmits it. The input is the user's sharing destination information, and the output is appropriately formatted story content.

[0774] 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.

[0775] 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.

[0776] 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.

[0777] 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.

[0778] 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.

[0779] 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.

[0780] 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.

[0781] 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.

[0782] 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."

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] 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.

[0792] 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.

[0793] 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.

[0794] 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.

[0795] The following is further disclosed regarding the embodiments described above.

[0796] (Claim 1)

[0797] A means of obtaining a user profile via the user interface,

[0798] A means for dynamically generating appropriate narrative development and visual representation from pre-configured options based on acquired user profiles,

[0799] A means of sequentially constructing a story by having the user choose options,

[0800] A means of visually previewing the constructed story and outputting the completed digital content in a storable format,

[0801] A system that includes this.

[0802] (Claim 2)

[0803] Means for sharing or distributing generated digital content to a specific external platform,

[0804] The system according to claim 1, including the following:

[0805] (Claim 3)

[0806] A means of optimizing the display and design of options based on user interaction,

[0807] The system according to claim 1, including the following:

[0808] "Example 1"

[0809] (Claim 1)

[0810] A means of obtaining user information via a user interface,

[0811] A means for dynamically generating appropriate narrative progression and visual representation from pre-set options based on acquired user information,

[0812] A means of sequentially constructing a story by having users choose options,

[0813] A means to visually preview the constructed narrative and automatically update the next development using a generative AI model,

[0814] A means of outputting the completed digital work in a format that can be saved,

[0815] A system that includes this.

[0816] (Claim 2)

[0817] A means of sharing or transmitting the generated digital works to a specific external device,

[0818] The system according to claim 1, including the following:

[0819] (Claim 3)

[0820] A means to improve story content by optimizing the display and design of options based on user interaction, and by generating prompt text.

[0821] The system according to claim 1, including the following:

[0822] "Application Example 1"

[0823] (Claim 1)

[0824] A means of obtaining a user profile via the user interface,

[0825] A means for dynamically generating appropriate narrative development and visual representation from pre-configured options based on acquired user profiles,

[0826] A means of sequentially constructing a story by having the user choose options,

[0827] A means of visually previewing the constructed story and outputting the completed digital content in a storable format,

[0828] A means for processing user voice input using a voice recognition device and managing the profile,

[0829] A means of providing an intuitive interface for visually displaying the story in real time,

[0830] A system that includes this.

[0831] (Claim 2)

[0832] Means for sharing or distributing generated digital content to a specific external platform,

[0833] The system according to claim 1, including the following:

[0834] (Claim 3)

[0835] A means of optimizing the display and design of options based on user interaction,

[0836] A means of dynamically updating visual elements in real time according to the progression of the story,

[0837] The system according to claim 1, including the following:

[0838] "Example 2 of combining an emotion engine"

[0839] (Claim 1)

[0840] Means of obtaining personal information through a user interface,

[0841] A means for dynamically generating appropriate narrative developments and visual representations from pre-set options based on acquired personal information,

[0842] A means of sequentially constructing a story by having users choose options,

[0843] A method for analyzing the user's emotional state in real time and automatically adjusting the story's progression,

[0844] A means of visually previewing the constructed story and outputting the completed digital content in a storable format,

[0845] A system that includes this.

[0846] (Claim 2)

[0847] A means of sharing or disseminating the generated digital content to a specific external information dissemination platform,

[0848] The system according to claim 1, including the following:

[0849] (Claim 3)

[0850] A means of optimizing the display and design of options based on user interaction,

[0851] The system according to claim 1, including the following:

[0852] "Application example 2 when combining with an emotional engine"

[0853] (Claim 1)

[0854] A device that acquires user profiles via a user interface,

[0855] A device that dynamically generates appropriate narrative development and visual representation from pre-set selection items based on acquired user profiles,

[0856] A device that constructs a story sequentially by having the user choose options,

[0857] A device that visually previews the constructed story and outputs the completed electronic content in a savable format,

[0858] A means of identifying the user's emotional state in real time,

[0859] A device that further adjusts the narrative development and visual expression based on that emotional state,

[0860] A system that includes this.

[0861] (Claim 2)

[0862] A device that shares or transmits generated electronic content to a specific external information provision platform,

[0863] The system according to claim 1, including the following:

[0864] (Claim 3)

[0865] A means to optimize the display and design of selection items based on user interaction,

[0866] The system according to claim 1, including the following: [Explanation of Symbols]

[0867] 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 of obtaining a user profile via the user interface, A means for dynamically generating appropriate narrative development and visual representation from pre-configured options based on acquired user profiles, A means of sequentially constructing a story by having the user choose options, A means of visually previewing the constructed story and outputting the completed digital content in a storable format, A means for processing user voice input using a voice recognition device and managing the profile, A means of providing an intuitive interface for visually displaying the story in real time, A system that includes this.

2. Means for sharing or distributing generated digital content to a specific external platform, The system according to claim 1, including the following:

3. A means of optimizing the display and design of options based on user interaction, A means of dynamically updating visual elements in real time according to the progression of the story, The system according to claim 1, including the following:

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