system

Abstract

We provide the system. [Solution] A system that generates customized stories based on children's hobbies and interests, A means for users to input information about their interests and hobbies, A means of determining the theme and content of a story based on the input information, A means of presenting interactive questions to users and collecting their answers, A means of generating a customized story based on the collected responses, A means of displaying the generated story, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Modern children are surrounded by a lot of digital entertainment, and there is a problem that it is difficult to sustain their interest in reading. Also, children have limited opportunities to create stories on their own, and there is a lack of an appropriate environment for cultivating creativity. Furthermore, activities for the whole family to enjoy stories together are limited, and new ways to deepen family bonds are required.

Means for Solving the Problems

[0005] This invention provides a system for generating customized stories based on children's hobbies and interests. Specifically, it collects information about the user's interests and hobbies and determines the theme and content of the story based on that information. It also supports children in practicing spontaneous story creation by obtaining the user's answers through interactive questions and generating a story based on those answers. Furthermore, it includes a function that allows family members to participate in the collaborative creation of stories, enabling the whole family to enjoy stories and deepen their bonds.

[0006] A "user" refers to a person who operates the system and inputs information related to story generation.

[0007] A "hobby" refers to an activity or subject of interest that a user has a particular interest in and enjoys.

[0008] "Interest" refers to a user's interest in or curiosity about a particular thing.

[0009] Generating a "story" refers to constructing a series of events based on user input and expressing them as text.

[0010] "Customization" refers to adjusting or changing the content of a story to suit individual preferences and requests.

[0011] An "interactive question" refers to a two-way question that encourages user participation and changes the next step based on the user's answer.

[0012] "Family member" refers to a family member who participates in the story-generating activity.

[0013] "Collaborative creation" refers to a process where multiple participants share their opinions and work together to create a single story.

[0014] "Displaying in real time" refers to displaying a story on the screen that is generated instantly in response to user input.

Brief Description of the Drawings

[0015] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing 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.

Modes for Carrying Out the Invention

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

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

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

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

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

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

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

[0023] [First Embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0036] In order to implement this invention, the system must first have user registration and login functions. Specifically, the server receives user registration information and stores it in a database. Users create accounts through their terminals, and the server performs authentication during login.

[0037] Next, the system displays questions about the user's hobbies and interests on the device and collects their responses. This collected information is stored in a database by the server and used to customize the story generation process.

[0038] Story generation occurs through an interactive questioning process. The device sequentially presents questions to the user and sends the user's answers to the server. The server uses an AI engine to generate a story plot based on these answers. The generated story is displayed on the device in real time, allowing the user to read it immediately.

[0039] When using Family Mode, the device sequentially presents questions to family members and collects their opinions. The server aggregates these responses and collaboratively generates a customized story. The completed story is displayed on the device, allowing the whole family to enjoy it together.

[0040] For example, if a user is interested in "space travel," the system will set the story in space through related questions and construct the characters and events based on the user's answers. For instance, if the user talks about a brave space explorer, the generated story will be about that character's adventures in space.

[0041] This system allows children to enjoy stories that suit their interests and fosters their creativity through collaborative storytelling with their families.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The user enters the name, email address, and password required to create a new account on their device. The device then sends this information to the server.

[0045] Step 2:

[0046] The server validates the received user information and, if there are no problems, saves the information to the database. It then sends a message back to the terminal confirming that user registration is complete.

[0047] Step 3:

[0048] The user attempts to log in using their device by entering their registered email address and password. The device then sends this information to the server.

[0049] Step 4:

[0050] The server authenticates the user by matching them with information in the database. If authentication is successful, it grants access to available functions and instructs the terminal to display a success screen.

[0051] Step 5:

[0052] The device displays a questionnaire to the user asking questions about their hobbies and interests. The user then enters their answers.

[0053] Step 6:

[0054] The device sends the user's response to the server. The server stores this information as customized data for generating the next story.

[0055] Step 7:

[0056] The server designs interactive questions based on the response data and sends them to the terminal. The terminal then displays these questions to the user.

[0057] Step 8:

[0058] The user sequentially enters answers to the presented questions. The device sends each answer to the server in real time.

[0059] Step 9:

[0060] The server uses AI technology to generate a story plot based on the user's interests and responses. The generated plot is then sent to the device.

[0061] Step 10:

[0062] The device displays the generated story to the user. The user can enjoy and read the displayed story.

[0063] Step 11:

[0064] If Family Mode is selected, the device will sequentially present pre-set questions to each family member. Each member enters their answer, and the device sends it to the server.

[0065] Step 12:

[0066] The server aggregates the responses from all family members and generates a common narrative. It then sends the generated narrative to the device.

[0067] Step 13:

[0068] The device displays the completed story so that the whole family can participate and read it together. Family members can enjoy the story together.

[0069] (Example 1)

[0070] 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."

[0071] Modern story generation systems face challenges such as insufficient customization based on individual user interests and a lack of features for families to create and enjoy stories together. Existing systems lack immediacy in the interactive story generation process, and there are limitations to real-time story generation and display.

[0072] 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.

[0073] In this invention, the server includes means for the user to register personal data and authenticate using an information processing device, means for inputting materials based on the user's interests and storing them in a storage medium, and means for collecting data from the user in the form of questions and transferring the answers to an answering device. This enables the instantaneous generation and display of stories that reflect the user's individual hobbies and interests. It also enables the whole family to cooperate in creating and enjoying stories.

[0074] An "information processing device" is a device used for inputting, processing, and outputting data, and supports the registration and authentication of user information.

[0075] "User" refers to the person who operates the system and provides individual data and interests.

[0076] "Personal data" refers to information that identifies an individual, including the user's name, contact information, and password.

[0077] A "storage medium" is a physical or digital medium used to store data for a long period of time, and is a place where information about a user's interests is recorded.

[0078] "Question format" refers to an interactive method for obtaining information from users, which involves presenting questions and collecting answers.

[0079] An "answer device" is a system component used to receive, interpret, and process collected answer data.

[0080] A "generative artificial intelligence engine" is software that executes algorithms to generate stories based on data collected from the user.

[0081] A "display device" is hardware that visually outputs the generated story, allowing the user to confirm its content.

[0082] To implement the present invention, the system first includes an information processing device that provides user registration and login functions. The user enters personal data through a terminal and creates an account. The terminal sends the user's registration information to a server, which stores it in a storage medium. This process allows the user to access the system and manage their individual data.

[0083] To collect information about interests and hobbies, the terminal provides the user with a question-based interface. The user inputs information about their interests, and the answers are sent from the terminal to the server. The server collects this data and stores it in a storage medium for use in a later story generation process.

[0084] In story generation, the server inputs collected user data as prompts into the generation AI engine. Based on this, the generation AI model generates a customized story plot, ensuring the story's content aligns with the user's interests. The generated story is immediately sent to the terminal and visualized on the display device. This interactive process allows the user to enjoy the story in real time.

[0085] In Family Mode, the device asks questions to multiple family members alternately, collecting each member's opinions and interests. This information is also sent to a server, and a generative AI model generates a story that can be shared by the entire family. This process promotes communication among family members and provides a collaborative creative experience.

[0086] For example, if a user is interested in "space travel," the prompt would be "Generate an adventure story set in outer space. The protagonist is a brave space explorer, and the storyline includes the discovery of an unknown planet." This prompt prompts the AI ​​to generate a story tailored to the user's interests and provide it to them immediately.

[0087] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0088] Step 1:

[0089] The user enters personal data into a registration form using a device. This input includes username, password, and email address. The device sends this information to the server, which stores the data on a storage medium. The user information is managed in a database and prepared for future authentication. Data processing here includes password encryption.

[0090] Step 2:

[0091] The user enters their login information on the login screen using their device. The device sends the entered login information to the server, which authenticates the user by comparing it with a stored database. If authentication is successful, access is granted and the user can log in to their account. The authentication process includes comparing encrypted passwords.

[0092] Step 3:

[0093] The terminal displays questions to the user about their interests and hobbies. The user answers these questions and inputs data about their interests. This input data is sent from the terminal to the server. The server collects the data and stores it in a storage medium in preparation for the story generation process. The data processing performed here involves classifying and organizing the input categories.

[0094] Step 4:

[0095] The terminal displays a series of interactive questions to the user, collecting detailed information about the story. The user answers each question and inputs data, which the terminal sends to the server. The server aggregates the collected answers and uses a generative artificial intelligence engine to generate prompt sentences. The data processing here involves parsing the answer data and forming the prompt sentences.

[0096] Step 5:

[0097] The server inputs prompts into the generative AI model, generating a story plot based on the user's interests and hobbies. The generated story is sent from the server to the terminal in real time. The data calculation here is the process of generating the story structure by the generative AI model.

[0098] Step 6:

[0099] The terminal outputs the story received from the server to a display device, allowing the user to read it. The user can then view and enjoy the generated story. In this step, the story data is processed into a visual output.

[0100] (Application Example 1)

[0101] 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."

[0102] In recent years, there has been a growing demand for the creation and sharing of stories using digital media in various forms. However, there is a lack of systems that can generate stories in real time based on individual user preferences and interests, and that allow users to share those stories with family and friends. Therefore, there is a need to build a system that provides users with personalized story experiences while also enabling richer experiences through sharing with others.

[0103] 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.

[0104] In this invention, the server includes means for inputting information related to the user's areas of interest and preferences, means for selecting the theme and content of a story based on the input information, and means for posing interactive questions to the user and collecting responses. This makes it possible to generate a customized story in real time that is tailored to the user's individual preferences and to share that experience with other individuals.

[0105] "User areas of interest and preferences" refers to information about themes and elements that individual users are interested in and like.

[0106] "Means of inputting information" refers to a device that acts as an interface for users to collect data related to their hobbies and interests.

[0107] "Means for selecting the subject and content of a story" refers to a device that has the function of determining the theme and storyline of a story based on collected user information.

[0108] "Interactive questioning" refers to questions and prompts used to collect responses and opinions from users through dialogue.

[0109] "Means for collecting responses" refers to a device or program for recording and storing user responses and choices.

[0110] A "customized story" refers to a story that is uniquely compiled according to the individual needs and interests of the user.

[0111] A "device for real-time visual display" is a display system that can instantly show a generated story to the user visually.

[0112] The "feature for sharing stories over a network" refers to a system that uses the internet or other communication methods to share generated stories with other users and devices.

[0113] To implement this invention, a server, user terminals, and network connectivity are required. The server is built using the Django framework with Python and provides a foundation for collecting and analyzing user information. PostgreSQL is used for the database to efficiently store data.

[0114] An application built with Flutter® is installed on the user's device. This application provides a user interface, allowing the user to input information about their areas of interest and preferences. On the server side, OpenAI®'s GPT model is used as the AI ​​engine to generate an appropriate story based on the collected information and responses to interactive questions. The generated story is displayed visually on the device in real time.

[0115] For example, if a user expresses interest in "fantasy adventures," the application on the device will present a series of relevant questions based on this interest and collect responses from the user. The server inputs a prompt into the GPT model: "Generate a story about a brave adventurer who meets a dragon in a magical land. Please describe the setting of the adventure, the characters encountered, and the problems solved in detail." The server then generates a story that matches the user's interests. The generated story is instantly displayed visually on the device and can be shared with family and friends over the network.

[0116] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0117] Step 1:

[0118] The user launches the application through their device and enters personal information and interest data on the account creation screen. The entered data is sent from the device to the server. This information includes the user's areas of interest and preferences.

[0119] Step 2:

[0120] The server stores the received user information in a database. PostgreSQL is used as the database to manage the information accurately and efficiently. The stored information is used to analyze the user's interests and preferences.

[0121] Step 3:

[0122] The user selects categories or themes of interest through the device's interface. Based on the selected information, the device generates relevant questions and presents them to the user.

[0123] Step 4:

[0124] The user answers the presented questions. The device collects these responses and sends them to the server. The submitted responses become important data points in the process of generating a customized story.

[0125] Step 5:

[0126] The server inputs the collected responses into the AI ​​engine. The AI ​​engine used is OpenAI's GPT model, which is used to generate and input prompt sentences. Based on these prompt sentences, the AI ​​model generates a story that matches the user's interests.

[0127] Step 6:

[0128] The server sends the generated story to the device, which then displays the story visually. Users can experience the generated story in real time and enjoy the narrative.

[0129] Step 7:

[0130] Users can share stories generated using their devices with family and friends. This sharing takes place over a network, allowing for simultaneous viewing on multiple devices.

[0131] 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.

[0132] In embodiments of the present invention, in generating stories based on children's interests and hobbies, an emotion engine is further incorporated to recognize the user's emotions and provide a function to adjust the story content accordingly.

[0133] The system begins with the user registering an account via their device and entering the necessary information. By entering information about their hobbies and interests, the user builds the foundational data for a story tailored to them.

[0134] Next, the emotion engine recognizes the user's emotions in real time as it asks interactive questions. For example, it analyzes the user's tone of voice and facial expressions when they answer questions to understand their emotional state. This information is then reflected in story generation via the server.

[0135] The device sends user emotion data to a server, which uses AI to generate a story based on this data. If the user's emotions are positive, the story's progression is adjusted to be more cheerful; conversely, if negative emotions are detected, the story can be adjusted to incorporate encouraging elements.

[0136] For example, if a user expresses a slightly depressed mood, the system will set up a storyline in which a brave protagonist overcomes difficulties, generating content that gives the user hope. In this way, the emotion engine dynamically adjusts content according to the user's mental state, providing a more personalized experience.

[0137] Furthermore, in Family Mode, the emotions of multiple users are analyzed simultaneously to create a balanced story that everyone can enjoy. The device manages the process in which each family member participates and answers in turn. The aggregated data is integrated on a server, and a common story reflecting everyone's emotional information is generated.

[0138] Through this system, children and their families can enjoy stories in a way that aligns with their own emotions, leading to a richer reading experience.

[0139] The following describes the processing flow.

[0140] Step 1:

[0141] The user registers an account on their device and enters necessary information such as their name, email address, and password. The device then sends this information to the server.

[0142] Step 2:

[0143] The server validates the submitted user information and, if there are no problems, saves it to the database. A confirmation message is sent to the terminal upon completion of registration.

[0144] Step 3:

[0145] The user logs in through their device and accesses their account. The device sends login information to the server, which then authenticates the user by comparing it against the database.

[0146] Step 4:

[0147] After successful authentication, the device displays a questionnaire to the user about their hobbies and interests. The user then enters their answers regarding topics, characters, and other things they are interested in.

[0148] Step 5:

[0149] The terminal sends the user's response data to the server. The server stores this data in a database and uses it as customized information for story generation.

[0150] Step 6:

[0151] The device sequentially presents the user with interactive questions. The user answers the questions, and during this time, the device's built-in emotion engine analyzes the user's emotional state.

[0152] Step 7:

[0153] The emotion engine analyzes the user's voice tone and facial expressions to identify their current emotional state. The analysis results are then sent to the server.

[0154] Step 8:

[0155] The server combines user interest and emotion data to generate a personalized story plot using AI. The story content is adjusted according to the user's emotions.

[0156] Step 9:

[0157] The server sends the generated story to the terminal. The terminal displays the story to the user, allowing the user to read its contents.

[0158] Step 10:

[0159] When Family Mode is selected, the device will present questions to each family member in turn and use an emotion engine to analyze each user's emotions.

[0160] Step 11:

[0161] After all member data has been collected, the server uses it to generate a story that the whole family can enjoy. The generated story will be adapted for family mode.

[0162] Step 12:

[0163] The server sends the completed story to the device. The device displays the story so that the whole family can participate and enjoy it. Family members can enjoy the story together.

[0164] (Example 2)

[0165] 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".

[0166] Traditional story generation systems allowed for customization based on user preferences and interests, but lacked the ability to dynamically adjust story content in response to the user's emotional state. Therefore, providing stories optimized for the user's mental state was difficult, and there was a particular need for real-time adjustments to stories in response to emotional changes.

[0167] 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.

[0168] In this invention, the server includes means for collecting data on the user's emotional state, an emotion analysis engine means for analyzing the collected emotional data and adjusting the story content, and a generative AI model means for generating a story based on information about the user's hobbies and interests. This makes it possible to provide personalized stories that are tailored to the user's emotions.

[0169] "Emotional state" refers to information that represents the user's mental and psychological tendencies, and is data collected through voice, facial expressions, and other means.

[0170] The "emotion analysis engine" is a software component that analyzes the emotional state of users collected from the data, and makes decisions to dynamically adjust the narrative content.

[0171] A "generative AI model" is an artificial intelligence algorithm that generates stories tailored to a specific purpose based on given data, creating content that matches the user's tastes and interests.

[0172] A "prompt" is a question or command presented to a user to provide an interactive experience, and is used to elicit a response from the user.

[0173] This invention is a system that generates stories tailored to the user's emotional state and interests, and its implementation involves the coordinated functioning of multiple components, including a terminal, a server, and a generative AI model.

[0174] Users first register an account through their device and enter information about their interests and hobbies. This information is sent to the server as the user's individual data profile. The device uses its camera and microphone to capture emotional data such as the user's facial expressions and voice. For example, it collects the voice tone and facial changes when the user answers questions, and uses this as material for analysis by the emotion analysis engine.

[0175] The server analyzes the received emotional data and uses a generative AI model to generate a story tailored to the user's state. This AI model has the ability to create customized content based on the user's hobbies and interests. Furthermore, content adjustments based on emotional analysis include positive stories and encouraging content for users experiencing negative emotions.

[0176] For example, if a user is feeling a bit down, a story might be set up in which "a brave protagonist overcomes difficulties and achieves success." In this case, the system generates a story that gives the user hope and courage.

[0177] Examples of prompts include questions such as, "What is your favorite animal?", "How are you feeling today?", and "What kind of adventure stories are you interested in?". These prompts elicit responses from the user, and a story is generated based on those responses.

[0178] This system design allows for personalized storytelling experiences that resonate with users' emotions, resulting in a richer reading experience through the implementation of this invention.

[0179] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0180] Step 1:

[0181] Users register an account using their device. On the registration screen, users enter basic information such as their name and email address. This entered information is sent to the server as user profile data. This profile data is used as foundational information for story generation in subsequent steps.

[0182] Step 2:

[0183] The terminal displays prompts about the user's hobbies and interests. The user responds by entering information about their interests. For example, they might answer a question like, "What is your favorite animal?" This input information is sent to the server to determine the theme of the story. The server receives this information, analyzes it, and stores it in a database.

[0184] Step 3:

[0185] The device uses a camera and microphone to collect user voice and facial expression data. It captures the user's facial expressions and voice tone to form emotional data. This emotional data is transmitted to the server in real time. The server analyzes the received emotional data and organizes it into a data structure by converting the user's emotional state into numerical values ​​and categories.

[0186] Step 4:

[0187] The server generates a story using a generative AI model based on collected interest and emotion data. In this process, the storyline and tone are determined based on the input data. For example, if the user is in a positive emotional state, the story will be adjusted to include a more upbeat plot. The output of this step is user-optimized story text data.

[0188] Step 5:

[0189] The device displays a generated story to the user. The user can read through the story, and emotional data is updated as needed, adjusting the story's content in real time. This real-time adjustment ensures the story is more responsive to the user's emotional state. The ultimate goal is for the user to have a personalized reading experience.

[0190] (Application Example 2)

[0191] 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".

[0192] While conventional story generation systems could create customized stories based on users' interests and hobbies, they did not adequately consider the user's emotional state when adjusting the content. Therefore, it was difficult to provide a story experience that was perfectly suited to each individual user. Furthermore, when all family members participated, providing a balanced story for members with differing emotional states was also a challenge.

[0193] 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.

[0194] In this invention, the server includes means for inputting data on the user's interests and hobbies, means for analyzing the user's emotional state, and means for generating a story adjusted based on the collected responses and the analyzed emotional state. This makes it possible to provide a story that can be adjusted not only based on the user's interests and hobbies but also according to their emotional state, thereby realizing a more personalized experience for each user.

[0195] The term "hobby" refers to an activity or interest that an individual enjoys in their leisure time.

[0196] "Interest" refers to a state of having attention to or a desire for knowledge about a particular matter.

[0197] "Emotional state" refers to the user's mental state, including psychological reactions and mood.

[0198] "Analysis" is the process of breaking down information and understanding its relationships and meanings.

[0199] "Adjustment" refers to the act of modifying or changing methods in order to make different elements compatible.

[0200] A "story" refers to content that expresses events or situations using words or text, and possesses a narrative quality.

[0201] "Generation" refers to the act of creating or constructing something anew.

[0202] The term "family" refers to a group of people bound together by blood ties, marriage, or other similar relationships.

[0203] "Dynamic" refers to a characteristic that changes or reacts in accordance with the situation or conditions.

[0204] A "prompt message" is a sentence containing instructions or questions that are input to a generative AI model.

[0205] The system based on this invention generates stories tailored to the user's hobbies and interests, and dynamically adjusts the stories according to the user's emotional state. The server receives data on the user's hobbies and interests entered via a terminal and determines the theme of the story based on that data. Furthermore, it presents interactive questions and performs emotional analysis based on the user's responses.

[0206] Specifically, the device uses a camera and microphone to capture and record the user's facial expressions and tone of voice, and analyzes this data in real time using analysis software (e.g., OpenCV, Google® Speech-to-Text API). Once an emotional state is identified, the information is sent to a server, which uses a generative AI model (e.g., OpenAI's GPT series) to generate a story that corresponds to the user's emotions.

[0207] This story generation process dynamically adjusts the content to be uplifting for positive emotions and encouraging for negative emotions. To improve the user experience, family mode can simultaneously analyze the emotions of multiple members and provide a balanced, shared narrative.

[0208] For example, if sentiment analysis determines that a user is feeling a little down, the server is designed to generate a "story of a brave protagonist overcoming difficulties," which a household robot then narrates to give the user hope. An example of a prompt might be, "The child seems a little worried about something that happened at school. Please tell a five-minute uplifting story that fits this mood."

[0209] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0210] Step 1:

[0211] The terminal receives data from the user regarding their hobbies and interests. This input data reflects the user's interests and forms the basis for subsequent story generation. The terminal then sends this data to the server.

[0212] Step 2:

[0213] The server analyzes the received data on hobbies and interests to determine an appropriate story theme. In this process, an algorithm selects the most suitable theme from the candidate themes stored in the database and generates an initial story based on it.

[0214] Step 3:

[0215] The device presents the user with interactive questions and collects their responses. These responses are provided via voice or text, and the collected responses are then used for further personalized interaction.

[0216] Step 4:

[0217] The device uses its camera and microphone to capture the user's facial expressions and tone of voice, and performs emotion analysis. This process utilizes analysis software (e.g., OpenCV, Google Speech-to-Text API) to identify the user's real-time emotional state. The analysis results are then sent to a server.

[0218] Step 5:

[0219] The server dynamically generates a story using a generative AI model based on the collected response data and analyzed emotional state. Here, a prompt sentence is input to the generative AI model, and a story that matches the user's emotions is output.

[0220] Step 6:

[0221] The device presents the generated story to the user. This may involve playing the story as audio through the robot's speaker or displaying it as text on a screen. This allows the user to experience a personalized narrative.

[0222] 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.

[0223] 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.

[0224] 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.

[0225] [Second Embodiment]

[0226] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0227] 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.

[0228] 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).

[0229] 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.

[0230] 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.

[0231] 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).

[0232] 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.

[0233] 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.

[0234] 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.

[0235] 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.

[0236] 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.

[0237] 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".

[0238] In order to implement this invention, the system must first have user registration and login functions. Specifically, the server receives user registration information and stores it in a database. Users create accounts through their terminals, and the server performs authentication during login.

[0239] Next, the system displays questions about the user's hobbies and interests on the device and collects their responses. This collected information is stored in a database by the server and used to customize the story generation process.

[0240] Story generation occurs through an interactive questioning process. The device sequentially presents questions to the user and sends the user's answers to the server. The server uses an AI engine to generate a story plot based on these answers. The generated story is displayed on the device in real time, allowing the user to read it immediately.

[0241] When using Family Mode, the device sequentially presents questions to family members and collects their opinions. The server aggregates these responses and collaboratively generates a customized story. The completed story is displayed on the device, allowing the whole family to enjoy it together.

[0242] For example, if a user is interested in "space travel," the system will set the story in space through related questions and construct the characters and events based on the user's answers. For instance, if the user talks about a brave space explorer, the generated story will be about that character's adventures in space.

[0243] This system allows children to enjoy stories that suit their interests and fosters their creativity through collaborative storytelling with their families.

[0244] The following describes the processing flow.

[0245] Step 1:

[0246] The user enters the name, email address, and password required to create a new account on their device. The device then sends this information to the server.

[0247] Step 2:

[0248] The server validates the received user information and, if there are no problems, saves the information to the database. It then sends a message back to the terminal confirming that user registration is complete.

[0249] Step 3:

[0250] The user attempts to log in using their device by entering their registered email address and password. The device then sends this information to the server.

[0251] Step 4:

[0252] The server authenticates the user by matching them with information in the database. If authentication is successful, it grants access to available functions and instructs the terminal to display a success screen.

[0253] Step 5:

[0254] The device displays a questionnaire to the user asking questions about their hobbies and interests. The user then enters their answers.

[0255] Step 6:

[0256] The device sends the user's response to the server. The server stores this information as customized data for generating the next story.

[0257] Step 7:

[0258] The server designs interactive questions based on the response data and sends them to the terminal. The terminal then displays these questions to the user.

[0259] Step 8:

[0260] The user sequentially enters answers to the presented questions. The device sends each answer to the server in real time.

[0261] Step 9:

[0262] The server uses AI technology to generate a story plot based on the user's interests and responses. The generated plot is then sent to the device.

[0263] Step 10:

[0264] The device displays the generated story to the user. The user can enjoy and read the displayed story.

[0265] Step 11:

[0266] If Family Mode is selected, the device will sequentially present pre-set questions to each family member. Each member enters their answer, and the device sends it to the server.

[0267] Step 12:

[0268] The server aggregates the responses from all family members and generates a common narrative. It then sends the generated narrative to the device.

[0269] Step 13:

[0270] The device displays the completed story so that the whole family can participate and read it together. Family members can enjoy the story together.

[0271] (Example 1)

[0272] 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."

[0273] Modern story generation systems face challenges such as insufficient customization based on individual user interests and a lack of features for families to create and enjoy stories together. Existing systems lack immediacy in the interactive story generation process, and there are limitations to real-time story generation and display.

[0274] 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.

[0275] In this invention, the server includes means for the user to register personal data and authenticate using an information processing device, means for inputting materials based on the user's interests and storing them in a storage medium, and means for collecting data from the user in the form of questions and transferring the answers to an answering device. This enables the instantaneous generation and display of stories that reflect the user's individual hobbies and interests. It also enables the whole family to cooperate in creating and enjoying stories.

[0276] An "information processing device" is a device used for inputting, processing, and outputting data, and supports the registration and authentication of user information.

[0277] "User" refers to the person who operates the system and provides individual data and interests.

[0278] "Personal data" refers to information that identifies an individual, including the user's name, contact information, and password.

[0279] A "storage medium" is a physical or digital medium used to store data for a long period of time, and is a place where information about a user's interests is recorded.

[0280] "Question format" refers to an interactive method for obtaining information from users, which involves presenting questions and collecting answers.

[0281] An "answer device" is a system component used to receive, interpret, and process collected answer data.

[0282] A "generative artificial intelligence engine" is software that executes algorithms to generate stories based on data collected from the user.

[0283] A "display device" is hardware that visually outputs the generated story, allowing the user to confirm its content.

[0284] To implement the present invention, the system first includes an information processing device and provides user registration and login functions. The user inputs personal data through a terminal to create an account. The terminal sends the user's registration information to the server, and the server stores it in a storage medium. Through this process, the user can access the system and manage individual data.

[0285] To collect information on interests and hobbies, the terminal provides a question-based interface to the user. The user inputs information regarding their interests, and the answers are sent from the terminal to the server. The server collects this data and stores it in a storage medium for use in subsequent story generation processes.

[0286] In story generation, the server inputs the collected user data as a prompt sentence into a generation artificial intelligence engine. Based on this, the generation AI model generates a customized story plot so that the content of the story aligns with the user's hobbies. The generated story is immediately sent to the terminal and visualized on a display device. Through this interactive process, the user can enjoy the story in real time.

[0287] In the family mode function, the terminal alternately presents questions to multiple family members to collect the opinions and interests of each member. This information is also sent to the server, and the generation AI model generates a story that can be shared by all family members. This process promotes communication among family members and provides a collaborative creative experience.

[0288] As a specific example, when the user is interested in "space travel", the prompt sentence "Please generate an adventure story set in space. The protagonist is a brave space explorer and includes a storyline of discovering an unknown planet" is used. Based on this prompt, the AI generates a story that suits the user's interests and provides it to the user immediately.

[0289] The flow of the specific process in Example 1 will be described using FIG. 11.

[0290] Step 1:

[0291] The user enters personal data into a registration form using a device. This input includes username, password, and email address. The device sends this information to the server, which stores the data on a storage medium. The user information is managed in a database and prepared for future authentication. Data processing here includes password encryption.

[0292] Step 2:

[0293] The user enters their login information on the login screen using their device. The device sends the entered login information to the server, which authenticates the user by comparing it with a stored database. If authentication is successful, access is granted and the user can log in to their account. The authentication process includes comparing encrypted passwords.

[0294] Step 3:

[0295] The terminal displays questions to the user about their interests and hobbies. The user answers these questions and inputs data about their interests. This input data is sent from the terminal to the server. The server collects the data and stores it in a storage medium in preparation for the story generation process. The data processing performed here involves classifying and organizing the input categories.

[0296] Step 4:

[0297] The terminal displays a series of interactive questions to the user, collecting detailed information about the story. The user answers each question and inputs data, which the terminal sends to the server. The server aggregates the collected answers and uses a generative artificial intelligence engine to generate prompt sentences. The data processing here involves parsing the answer data and forming the prompt sentences.

[0298] Step 5:

[0299] The server inputs prompts into the generative AI model, generating a story plot based on the user's interests and hobbies. The generated story is sent from the server to the terminal in real time. The data calculation here is the process of generating the story structure by the generative AI model.

[0300] Step 6:

[0301] The terminal outputs the story received from the server to a display device, allowing the user to read it. The user can then view and enjoy the generated story. In this step, the story data is processed into a visual output.

[0302] (Application Example 1)

[0303] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0304] In recent years, there has been a growing demand for the creation and sharing of stories using digital media in various forms. However, there is a lack of systems that can generate stories in real time based on individual user preferences and interests, and that allow users to share those stories with family and friends. Therefore, there is a need to build a system that provides users with personalized story experiences while also enabling richer experiences through sharing with others.

[0305] 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.

[0306] In this invention, the server includes means for inputting information related to the user's areas of interest and preferences, means for selecting the theme and content of a story based on the input information, and means for posing interactive questions to the user and collecting responses. This makes it possible to generate a customized story in real time that is tailored to the user's individual preferences and to share that experience with other individuals.

[0307] "The user's area of interest and preference" refers to information indicating themes that individual users are interested in and elements that they prefer.

[0308] "The means for inputting information" refers to a device that is an interface for a user to collect data related to their hobbies and interests.

[0309] "The means for selecting the theme and content of a story" refers to a device that has the function of determining the theme and storyline of a story based on the collected user information.

[0310] "Interactive questioning" refers to questions and prompts that are used to collect responses and opinions through interaction with the user.

[0311] "The means for collecting responses" refers to a device or program for recording and storing answers and options from the user.

[0312] "A customized story" refers to a story that is uniquely compiled according to the individual needs and interests of the user.

[0313] "The device for visually displaying in real time" refers to a display system that can immediately visually show the generated story to the user.

[0314] "The function of sharing a story through a network" refers to a system for sharing the generated story with other users and devices using the Internet or other communication means.

[0315] To implement the present invention, a server, a user terminal, and a network connection are required. The server is constructed by the Django framework using Python and provides a basis for collecting and analyzing user information. PostgreSQL is used to efficiently store data in the database.

[0316] An application built with Flutter is installed on the user's device. This application provides a user interface, allowing the user to input information about their areas of interest and preferences. On the server side, OpenAI's GPT model is used as the AI ​​engine to generate an appropriate story based on the collected information and responses to interactive questions. The generated story is displayed visually on the device in real time.

[0317] For example, if a user expresses interest in "fantasy adventures," the application on the device will present a series of relevant questions based on this interest and collect responses from the user. The server inputs a prompt into the GPT model: "Generate a story about a brave adventurer who meets a dragon in a magical land. Please describe the setting of the adventure, the characters encountered, and the problems solved in detail." The server then generates a story that matches the user's interests. The generated story is instantly displayed visually on the device and can be shared with family and friends over the network.

[0318] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0319] Step 1:

[0320] The user launches the application through their device and enters personal information and interest data on the account creation screen. The entered data is sent from the device to the server. This information includes the user's areas of interest and preferences.

[0321] Step 2:

[0322] The server stores the received user information in a database. PostgreSQL is used as the database to manage the information accurately and efficiently. The stored information is used to analyze the user's interests and preferences.

[0323] Step 3:

[0324] The user selects categories or themes of interest through the device's interface. Based on the selected information, the device generates relevant questions and presents them to the user.

[0325] Step 4:

[0326] The user answers the presented questions. The device collects these responses and sends them to the server. The submitted responses become important data points in the process of generating a customized story.

[0327] Step 5:

[0328] The server inputs the collected responses into the AI ​​engine. The AI ​​engine used is OpenAI's GPT model, which is used to generate and input prompt sentences. Based on these prompt sentences, the AI ​​model generates a story that matches the user's interests.

[0329] Step 6:

[0330] The server sends the generated story to the device, which then displays the story visually. Users can experience the generated story in real time and enjoy the narrative.

[0331] Step 7:

[0332] Users can share stories generated using their devices with family and friends. This sharing takes place over a network, allowing for simultaneous viewing on multiple devices.

[0333] 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.

[0334] In embodiments of the present invention, in generating stories based on children's interests and hobbies, an emotion engine is further incorporated to recognize the user's emotions and provide a function to adjust the story content accordingly.

[0335] The system begins with the user registering an account via their device and entering the necessary information. By entering information about their hobbies and interests, the user builds the foundational data for a story tailored to them.

[0336] Next, the emotion engine recognizes the user's emotions in real time as it asks interactive questions. For example, it analyzes the user's tone of voice and facial expressions when they answer questions to understand their emotional state. This information is then reflected in story generation via the server.

[0337] The device sends user emotion data to a server, which uses AI to generate a story based on this data. If the user's emotions are positive, the story's progression is adjusted to be more cheerful; conversely, if negative emotions are detected, the story can be adjusted to incorporate encouraging elements.

[0338] For example, if a user expresses a slightly depressed mood, the system will set up a storyline in which a brave protagonist overcomes difficulties, generating content that gives the user hope. In this way, the emotion engine dynamically adjusts content according to the user's mental state, providing a more personalized experience.

[0339] Furthermore, in Family Mode, the emotions of multiple users are analyzed simultaneously to create a balanced story that everyone can enjoy. The device manages the process in which each family member participates and answers in turn. The aggregated data is integrated on a server, and a common story reflecting everyone's emotional information is generated.

[0340] Through this system, children and their families can enjoy stories in a way that aligns with their own emotions, leading to a richer reading experience.

[0341] The following describes the processing flow.

[0342] Step 1:

[0343] The user registers an account on their device and enters necessary information such as their name, email address, and password. The device then sends this information to the server.

[0344] Step 2:

[0345] The server validates the submitted user information and, if there are no problems, saves it to the database. A confirmation message is sent to the terminal upon completion of registration.

[0346] Step 3:

[0347] The user logs in through their device and accesses their account. The device sends login information to the server, which then authenticates the user by comparing it against the database.

[0348] Step 4:

[0349] After successful authentication, the device displays a questionnaire to the user about their hobbies and interests. The user then enters their answers regarding topics, characters, and other things they are interested in.

[0350] Step 5:

[0351] The terminal sends the user's response data to the server. The server stores this data in a database and uses it as customized information for story generation.

[0352] Step 6:

[0353] The device sequentially presents the user with interactive questions. The user answers the questions, and during this time, the device's built-in emotion engine analyzes the user's emotional state.

[0354] Step 7:

[0355] The emotion engine analyzes the user's voice tone and facial expressions to identify their current emotional state. The analysis results are then sent to the server.

[0356] Step 8:

[0357] The server combines user interest and emotion data to generate a personalized story plot using AI. The story content is adjusted according to the user's emotions.

[0358] Step 9:

[0359] The server sends the generated story to the terminal. The terminal displays the story to the user, allowing the user to read its contents.

[0360] Step 10:

[0361] When Family Mode is selected, the device will present questions to each family member in turn and use an emotion engine to analyze each user's emotions.

[0362] Step 11:

[0363] After all member data has been collected, the server uses it to generate a story that the whole family can enjoy. The generated story will be adapted for family mode.

[0364] Step 12:

[0365] The server sends the completed story to the device. The device displays the story so that the whole family can participate and enjoy it. Family members can enjoy the story together.

[0366] (Example 2)

[0367] 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".

[0368] Traditional story generation systems allowed for customization based on user preferences and interests, but lacked the ability to dynamically adjust story content in response to the user's emotional state. Therefore, providing stories optimized for the user's mental state was difficult, and there was a particular need for real-time adjustments to stories in response to emotional changes.

[0369] 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.

[0370] In this invention, the server includes means for collecting data on the user's emotional state, an emotion analysis engine means for analyzing the collected emotional data and adjusting the story content, and a generative AI model means for generating a story based on information about the user's hobbies and interests. This makes it possible to provide personalized stories that are tailored to the user's emotions.

[0371] "Emotional state" refers to information that represents the user's mental and psychological tendencies, and is data collected through voice, facial expressions, and other means.

[0372] The "emotion analysis engine" is a software component that analyzes the emotional state of users collected from the data, and makes decisions to dynamically adjust the narrative content.

[0373] A "generative AI model" is an artificial intelligence algorithm that generates stories tailored to a specific purpose based on given data, creating content that matches the user's tastes and interests.

[0374] A "prompt" is a question or command presented to a user to provide an interactive experience, and is used to elicit a response from the user.

[0375] This invention is a system that generates stories tailored to the user's emotional state and interests, and its implementation involves the coordinated functioning of multiple components, including a terminal, a server, and a generative AI model.

[0376] Users first register an account through their device and enter information about their interests and hobbies. This information is sent to the server as the user's individual data profile. The device uses its camera and microphone to capture emotional data such as the user's facial expressions and voice. For example, it collects the voice tone and facial changes when the user answers questions, and uses this as material for analysis by the emotion analysis engine.

[0377] The server analyzes the received emotional data and uses a generative AI model to generate a story tailored to the user's state. This AI model has the ability to create customized content based on the user's hobbies and interests. Furthermore, content adjustments based on emotional analysis include positive stories and encouraging content for users experiencing negative emotions.

[0378] For example, if a user is feeling a bit down, a story might be set up in which "a brave protagonist overcomes difficulties and achieves success." In this case, the system generates a story that gives the user hope and courage.

[0379] Examples of prompts include questions such as, "What is your favorite animal?", "How are you feeling today?", and "What kind of adventure stories are you interested in?". These prompts elicit responses from the user, and a story is generated based on those responses.

[0380] This system design allows for personalized storytelling experiences that resonate with users' emotions, resulting in a richer reading experience through the implementation of this invention.

[0381] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0382] Step 1:

[0383] Users register an account using their device. On the registration screen, users enter basic information such as their name and email address. This entered information is sent to the server as user profile data. This profile data is used as foundational information for story generation in subsequent steps.

[0384] Step 2:

[0385] The terminal displays prompts about the user's hobbies and interests. The user responds by entering information about their interests. For example, they might answer a question like, "What is your favorite animal?" This input information is sent to the server to determine the theme of the story. The server receives this information, analyzes it, and stores it in a database.

[0386] Step 3:

[0387] The device uses a camera and microphone to collect user voice and facial expression data. It captures the user's facial expressions and voice tone to form emotional data. This emotional data is transmitted to the server in real time. The server analyzes the received emotional data and organizes it into a data structure by converting the user's emotional state into numerical values ​​and categories.

[0388] Step 4:

[0389] The server generates a story using a generative AI model based on collected interest and emotion data. In this process, the storyline and tone are determined based on the input data. For example, if the user is in a positive emotional state, the story will be adjusted to include a more upbeat plot. The output of this step is user-optimized story text data.

[0390] Step 5:

[0391] The device displays a generated story to the user. The user can read through the story, and emotional data is updated as needed, adjusting the story's content in real time. This real-time adjustment ensures the story is more responsive to the user's emotional state. The ultimate goal is for the user to have a personalized reading experience.

[0392] (Application Example 2)

[0393] 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."

[0394] While conventional story generation systems could create customized stories based on users' interests and hobbies, they did not adequately consider the user's emotional state when adjusting the content. Therefore, it was difficult to provide a story experience that was perfectly suited to each individual user. Furthermore, when all family members participated, providing a balanced story for members with differing emotional states was also a challenge.

[0395] 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.

[0396] In this invention, the server includes means for inputting data on the user's interests and hobbies, means for analyzing the user's emotional state, and means for generating a story adjusted based on the collected responses and the analyzed emotional state. This makes it possible to provide a story that can be adjusted not only based on the user's interests and hobbies but also according to their emotional state, thereby realizing a more personalized experience for each user.

[0397] The term "hobby" refers to an activity or interest that an individual enjoys in their leisure time.

[0398] "Interest" refers to a state of having attention to or a desire for knowledge about a particular matter.

[0399] "Emotional state" refers to the user's mental state, including psychological reactions and mood.

[0400] "Analysis" is the process of breaking down information and understanding its relationships and meanings.

[0401] "Adjustment" refers to the act of modifying or changing methods in order to make different elements compatible.

[0402] A "story" refers to content that expresses events or situations using words or text, and possesses a narrative quality.

[0403] "Generation" refers to the act of creating or constructing something anew.

[0404] The term "family" refers to a group of people bound together by blood ties, marriage, or other similar relationships.

[0405] "Dynamic" refers to a characteristic that changes or reacts in accordance with the situation or conditions.

[0406] A "prompt message" is a sentence containing instructions or questions that are input to a generative AI model.

[0407] The system based on this invention generates stories tailored to the user's hobbies and interests, and dynamically adjusts the stories according to the user's emotional state. The server receives data on the user's hobbies and interests entered via a terminal and determines the theme of the story based on that data. Furthermore, it presents interactive questions and performs emotional analysis based on the user's responses.

[0408] Specifically, the device uses its camera and microphone to capture and record the user's facial expressions and tone of voice, and analyzes this data in real time using analysis software (e.g., OpenCV, Google Speech-to-Text API). Once an emotional state is identified, the information is sent to a server, which uses a generative AI model (e.g., OpenAI's GPT series) to generate a story that corresponds to the user's emotions.

[0409] This story generation process dynamically adjusts the content to be uplifting for positive emotions and encouraging for negative emotions. To improve the user experience, family mode can simultaneously analyze the emotions of multiple members and provide a balanced, shared narrative.

[0410] For example, if sentiment analysis determines that a user is feeling a little down, the server is designed to generate a "story of a brave protagonist overcoming difficulties," which a household robot then narrates to give the user hope. An example of a prompt might be, "The child seems a little worried about something that happened at school. Please tell a five-minute uplifting story that fits this mood."

[0411] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0412] Step 1:

[0413] The terminal receives data from the user regarding their hobbies and interests. This input data reflects the user's interests and forms the basis for subsequent story generation. The terminal then sends this data to the server.

[0414] Step 2:

[0415] The server analyzes the received data on hobbies and interests to determine an appropriate story theme. In this process, an algorithm selects the most suitable theme from the candidate themes stored in the database and generates an initial story based on it.

[0416] Step 3:

[0417] The device presents the user with interactive questions and collects their responses. These responses are provided via voice or text, and the collected responses are then used for further personalized interaction.

[0418] Step 4:

[0419] The device uses its camera and microphone to capture the user's facial expressions and tone of voice, and performs emotion analysis. This process utilizes analysis software (e.g., OpenCV, Google Speech-to-Text API) to identify the user's real-time emotional state. The analysis results are then sent to a server.

[0420] Step 5:

[0421] The server dynamically generates a story using a generative AI model based on the collected response data and analyzed emotional state. Here, a prompt sentence is input to the generative AI model, and a story that matches the user's emotions is output.

[0422] Step 6:

[0423] The device presents the generated story to the user. This may involve playing the story as audio through the robot's speaker or displaying it as text on a screen. This allows the user to experience a personalized narrative.

[0424] 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.

[0425] 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.

[0426] 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.

[0427] [Third Embodiment]

[0428] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0429] 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.

[0430] 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).

[0431] 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.

[0432] 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.

[0433] 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).

[0434] 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.

[0435] 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.

[0436] 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.

[0437] 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.

[0438] 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.

[0439] 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".

[0440] In order to implement this invention, the system must first have user registration and login functions. Specifically, the server receives user registration information and stores it in a database. Users create accounts through their terminals, and the server performs authentication during login.

[0441] Next, the system displays questions about the user's hobbies and interests on the device and collects their responses. This collected information is stored in a database by the server and used to customize the story generation process.

[0442] Story generation occurs through an interactive questioning process. The device sequentially presents questions to the user and sends the user's answers to the server. The server uses an AI engine to generate a story plot based on these answers. The generated story is displayed on the device in real time, allowing the user to read it immediately.

[0443] When using Family Mode, the device sequentially presents questions to family members and collects their opinions. The server aggregates these responses and collaboratively generates a customized story. The completed story is displayed on the device, allowing the whole family to enjoy it together.

[0444] For example, if a user is interested in "space travel," the system will set the story in space through related questions and construct the characters and events based on the user's answers. For instance, if the user talks about a brave space explorer, the generated story will be about that character's adventures in space.

[0445] This system allows children to enjoy stories that suit their interests and fosters their creativity through collaborative storytelling with their families.

[0446] The following describes the processing flow.

[0447] Step 1:

[0448] The user enters the name, email address, and password required to create a new account on their device. The device then sends this information to the server.

[0449] Step 2:

[0450] The server validates the received user information and, if there are no problems, saves the information to the database. It then sends a message back to the terminal confirming that user registration is complete.

[0451] Step 3:

[0452] The user attempts to log in using their device by entering their registered email address and password. The device then sends this information to the server.

[0453] Step 4:

[0454] The server authenticates the user by matching them with information in the database. If authentication is successful, it grants access to available functions and instructs the terminal to display a success screen.

[0455] Step 5:

[0456] The device displays a questionnaire to the user asking questions about their hobbies and interests. The user then enters their answers.

[0457] Step 6:

[0458] The device sends the user's response to the server. The server stores this information as customized data for generating the next story.

[0459] Step 7:

[0460] The server designs interactive questions based on the response data and sends them to the terminal. The terminal then displays these questions to the user.

[0461] Step 8:

[0462] The user sequentially enters answers to the presented questions. The device sends each answer to the server in real time.

[0463] Step 9:

[0464] The server uses AI technology to generate a story plot based on the user's interests and responses. The generated plot is then sent to the device.

[0465] Step 10:

[0466] The device displays the generated story to the user. The user can enjoy and read the displayed story.

[0467] Step 11:

[0468] If Family Mode is selected, the device will sequentially present pre-set questions to each family member. Each member enters their answer, and the device sends it to the server.

[0469] Step 12:

[0470] The server aggregates the responses from all family members and generates a common narrative. It then sends the generated narrative to the device.

[0471] Step 13:

[0472] The device displays the completed story so that the whole family can participate and read it together. Family members can enjoy the story together.

[0473] (Example 1)

[0474] 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."

[0475] Modern story generation systems face challenges such as insufficient customization based on individual user interests and a lack of features for families to create and enjoy stories together. Existing systems lack immediacy in the interactive story generation process, and there are limitations to real-time story generation and display.

[0476] 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.

[0477] In this invention, the server includes means for the user to register personal data and authenticate using an information processing device, means for inputting materials based on the user's interests and storing them in a storage medium, and means for collecting data from the user in the form of questions and transferring the answers to an answering device. This enables the instantaneous generation and display of stories that reflect the user's individual hobbies and interests. It also enables the whole family to cooperate in creating and enjoying stories.

[0478] An "information processing device" is a device used for inputting, processing, and outputting data, and supports the registration and authentication of user information.

[0479] "User" refers to the person who operates the system and provides individual data and interests.

[0480] "Personal data" refers to information that identifies an individual, including the user's name, contact information, and password.

[0481] A "storage medium" is a physical or digital medium used to store data for a long period of time, and is a place where information about a user's interests is recorded.

[0482] "Question format" refers to an interactive method for obtaining information from users, which involves presenting questions and collecting answers.

[0483] An "answer device" is a system component used to receive, interpret, and process collected answer data.

[0484] A "generative artificial intelligence engine" is software that executes algorithms to generate stories based on data collected from the user.

[0485] A "display device" is hardware that visually outputs the generated story, allowing the user to confirm its content.

[0486] To implement the present invention, the system first includes an information processing device that provides user registration and login functions. The user enters personal data through a terminal and creates an account. The terminal sends the user's registration information to a server, which stores it in a storage medium. This process allows the user to access the system and manage their individual data.

[0487] To collect information about interests and hobbies, the terminal provides the user with a question-based interface. The user inputs information about their interests, and the answers are sent from the terminal to the server. The server collects this data and stores it in a storage medium for use in a later story generation process.

[0488] In story generation, the server inputs collected user data as prompts into the generation AI engine. Based on this, the generation AI model generates a customized story plot, ensuring the story's content aligns with the user's interests. The generated story is immediately sent to the terminal and visualized on the display device. This interactive process allows the user to enjoy the story in real time.

[0489] In Family Mode, the device asks questions to multiple family members alternately, collecting each member's opinions and interests. This information is also sent to a server, and a generative AI model generates a story that can be shared by the entire family. This process promotes communication among family members and provides a collaborative creative experience.

[0490] For example, if a user is interested in "space travel," the prompt would be "Generate an adventure story set in outer space. The protagonist is a brave space explorer, and the storyline includes the discovery of an unknown planet." This prompt prompts the AI ​​to generate a story tailored to the user's interests and provide it to them immediately.

[0491] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0492] Step 1:

[0493] The user enters personal data into a registration form using a device. This input includes username, password, and email address. The device sends this information to the server, which stores the data on a storage medium. The user information is managed in a database and prepared for future authentication. Data processing here includes password encryption.

[0494] Step 2:

[0495] The user enters their login information on the login screen using their device. The device sends the entered login information to the server, which authenticates the user by comparing it with a stored database. If authentication is successful, access is granted and the user can log in to their account. The authentication process includes comparing encrypted passwords.

[0496] Step 3:

[0497] The terminal displays questions to the user about their interests and hobbies. The user answers these questions and inputs data about their interests. This input data is sent from the terminal to the server. The server collects the data and stores it in a storage medium in preparation for the story generation process. The data processing performed here involves classifying and organizing the input categories.

[0498] Step 4:

[0499] The terminal displays a series of interactive questions to the user, collecting detailed information about the story. The user answers each question and inputs data, which the terminal sends to the server. The server aggregates the collected answers and uses a generative artificial intelligence engine to generate prompt sentences. The data processing here involves parsing the answer data and forming the prompt sentences.

[0500] Step 5:

[0501] The server inputs prompts into the generative AI model, generating a story plot based on the user's interests and hobbies. The generated story is sent from the server to the terminal in real time. The data calculation here is the process of generating the story structure by the generative AI model.

[0502] Step 6:

[0503] The terminal outputs the story received from the server to a display device, allowing the user to read it. The user can then view and enjoy the generated story. In this step, the story data is processed into a visual output.

[0504] (Application Example 1)

[0505] 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."

[0506] In recent years, there has been a growing demand for the creation and sharing of stories using digital media in various forms. However, there is a lack of systems that can generate stories in real time based on individual user preferences and interests, and that allow users to share those stories with family and friends. Therefore, there is a need to build a system that provides users with personalized story experiences while also enabling richer experiences through sharing with others.

[0507] 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.

[0508] In this invention, the server includes means for inputting information related to the user's areas of interest and preferences, means for selecting the theme and content of a story based on the input information, and means for posing interactive questions to the user and collecting responses. This makes it possible to generate a customized story in real time that is tailored to the user's individual preferences and to share that experience with other individuals.

[0509] "User areas of interest and preferences" refers to information about themes and elements that individual users are interested in and like.

[0510] "Means of inputting information" refers to a device that acts as an interface for users to collect data related to their hobbies and interests.

[0511] "Means for selecting the subject and content of a story" refers to a device that has the function of determining the theme and storyline of a story based on collected user information.

[0512] "Interactive questioning" refers to questions and prompts used to collect responses and opinions from users through dialogue.

[0513] "Means for collecting responses" refers to a device or program for recording and storing user responses and choices.

[0514] A "customized story" refers to a story that is uniquely compiled according to the individual needs and interests of the user.

[0515] A "device for real-time visual display" is a display system that can instantly show a generated story to the user visually.

[0516] The "feature for sharing stories over a network" refers to a system that uses the internet or other communication methods to share generated stories with other users and devices.

[0517] To implement this invention, a server, user terminals, and network connectivity are required. The server is built using the Django framework with Python and provides a foundation for collecting and analyzing user information. PostgreSQL is used for the database to efficiently store data.

[0518] An application built with Flutter is installed on the user's device. This application provides a user interface, allowing the user to input information about their areas of interest and preferences. On the server side, OpenAI's GPT model is used as the AI ​​engine to generate an appropriate story based on the collected information and responses to interactive questions. The generated story is displayed visually on the device in real time.

[0519] For example, if a user expresses interest in "fantasy adventures," the application on the device will present a series of relevant questions based on this interest and collect responses from the user. The server inputs a prompt into the GPT model: "Generate a story about a brave adventurer who meets a dragon in a magical land. Please describe the setting of the adventure, the characters encountered, and the problems solved in detail." The server then generates a story that matches the user's interests. The generated story is instantly displayed visually on the device and can be shared with family and friends over the network.

[0520] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0521] Step 1:

[0522] The user launches the application through their device and enters personal information and interest data on the account creation screen. The entered data is sent from the device to the server. This information includes the user's areas of interest and preferences.

[0523] Step 2:

[0524] The server stores the received user information in a database. PostgreSQL is used as the database to manage the information accurately and efficiently. The stored information is used to analyze the user's interests and preferences.

[0525] Step 3:

[0526] The user selects categories or themes of interest through the device's interface. Based on the selected information, the device generates relevant questions and presents them to the user.

[0527] Step 4:

[0528] The user answers the presented questions. The device collects these responses and sends them to the server. The submitted responses become important data points in the process of generating a customized story.

[0529] Step 5:

[0530] The server inputs the collected responses into the AI ​​engine. The AI ​​engine used is OpenAI's GPT model, which is used to generate and input prompt sentences. Based on these prompt sentences, the AI ​​model generates a story that matches the user's interests.

[0531] Step 6:

[0532] The server sends the generated story to the device, which then displays the story visually. Users can experience the generated story in real time and enjoy the narrative.

[0533] Step 7:

[0534] Users can share stories generated using their devices with family and friends. This sharing takes place over a network, allowing for simultaneous viewing on multiple devices.

[0535] 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.

[0536] In embodiments of the present invention, in generating stories based on children's interests and hobbies, an emotion engine is further incorporated to recognize the user's emotions and provide a function to adjust the story content accordingly.

[0537] The system begins with the user registering an account via their device and entering the necessary information. By entering information about their hobbies and interests, the user builds the foundational data for a story tailored to them.

[0538] Next, the emotion engine recognizes the user's emotions in real time as it asks interactive questions. For example, it analyzes the user's tone of voice and facial expressions when they answer questions to understand their emotional state. This information is then reflected in story generation via the server.

[0539] The device sends user emotion data to a server, which uses AI to generate a story based on this data. If the user's emotions are positive, the story's progression is adjusted to be more cheerful; conversely, if negative emotions are detected, the story can be adjusted to incorporate encouraging elements.

[0540] For example, if a user expresses a slightly depressed mood, the system will set up a storyline in which a brave protagonist overcomes difficulties, generating content that gives the user hope. In this way, the emotion engine dynamically adjusts content according to the user's mental state, providing a more personalized experience.

[0541] Furthermore, in Family Mode, the emotions of multiple users are analyzed simultaneously to create a balanced story that everyone can enjoy. The device manages the process in which each family member participates and answers in turn. The aggregated data is integrated on a server, and a common story reflecting everyone's emotional information is generated.

[0542] Through this system, children and their families can enjoy stories in a way that aligns with their own emotions, leading to a richer reading experience.

[0543] The following describes the processing flow.

[0544] Step 1:

[0545] The user registers an account on their device and enters necessary information such as their name, email address, and password. The device then sends this information to the server.

[0546] Step 2:

[0547] The server validates the submitted user information and, if there are no problems, saves it to the database. A confirmation message is sent to the terminal upon completion of registration.

[0548] Step 3:

[0549] The user logs in through their device and accesses their account. The device sends login information to the server, which then authenticates the user by comparing it against the database.

[0550] Step 4:

[0551] After successful authentication, the device displays a questionnaire to the user about their hobbies and interests. The user then enters their answers regarding topics, characters, and other things they are interested in.

[0552] Step 5:

[0553] The terminal sends the user's response data to the server. The server stores this data in a database and uses it as customized information for story generation.

[0554] Step 6:

[0555] The device sequentially presents the user with interactive questions. The user answers the questions, and during this time, the device's built-in emotion engine analyzes the user's emotional state.

[0556] Step 7:

[0557] The emotion engine analyzes the user's voice tone and facial expressions to identify their current emotional state. The analysis results are then sent to the server.

[0558] Step 8:

[0559] The server combines user interest and emotion data to generate a personalized story plot using AI. The story content is adjusted according to the user's emotions.

[0560] Step 9:

[0561] The server sends the generated story to the terminal. The terminal displays the story to the user, allowing the user to read its contents.

[0562] Step 10:

[0563] When Family Mode is selected, the device will present questions to each family member in turn and use an emotion engine to analyze each user's emotions.

[0564] Step 11:

[0565] After all member data has been collected, the server uses it to generate a story that the whole family can enjoy. The generated story will be adapted for family mode.

[0566] Step 12:

[0567] The server sends the completed story to the device. The device displays the story so that the whole family can participate and enjoy it. Family members can enjoy the story together.

[0568] (Example 2)

[0569] 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."

[0570] Traditional story generation systems allowed for customization based on user preferences and interests, but lacked the ability to dynamically adjust story content in response to the user's emotional state. Therefore, providing stories optimized for the user's mental state was difficult, and there was a particular need for real-time adjustments to stories in response to emotional changes.

[0571] 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.

[0572] In this invention, the server includes means for collecting data on the user's emotional state, an emotion analysis engine means for analyzing the collected emotional data and adjusting the story content, and a generative AI model means for generating a story based on information about the user's hobbies and interests. This makes it possible to provide personalized stories that are tailored to the user's emotions.

[0573] "Emotional state" refers to information that represents the user's mental and psychological tendencies, and is data collected through voice, facial expressions, and other means.

[0574] The "emotion analysis engine" is a software component that analyzes the emotional state of users collected from the data, and makes decisions to dynamically adjust the narrative content.

[0575] A "generative AI model" is an artificial intelligence algorithm that generates stories tailored to a specific purpose based on given data, creating content that matches the user's tastes and interests.

[0576] A "prompt" is a question or command presented to a user to provide an interactive experience, and is used to elicit a response from the user.

[0577] This invention is a system that generates stories tailored to the user's emotional state and interests, and its implementation involves the coordinated functioning of multiple components, including a terminal, a server, and a generative AI model.

[0578] Users first register an account through their device and enter information about their interests and hobbies. This information is sent to the server as the user's individual data profile. The device uses its camera and microphone to capture emotional data such as the user's facial expressions and voice. For example, it collects the voice tone and facial changes when the user answers questions, and uses this as material for analysis by the emotion analysis engine.

[0579] The server analyzes the received emotional data and uses a generative AI model to generate a story tailored to the user's state. This AI model has the ability to create customized content based on the user's hobbies and interests. Furthermore, content adjustments based on emotional analysis include positive stories and encouraging content for users experiencing negative emotions.

[0580] For example, if a user is feeling a bit down, a story might be set up in which "a brave protagonist overcomes difficulties and achieves success." In this case, the system generates a story that gives the user hope and courage.

[0581] Examples of prompts include questions such as, "What is your favorite animal?", "How are you feeling today?", and "What kind of adventure stories are you interested in?". These prompts elicit responses from the user, and a story is generated based on those responses.

[0582] This system design allows for personalized storytelling experiences that resonate with users' emotions, resulting in a richer reading experience through the implementation of this invention.

[0583] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0584] Step 1:

[0585] Users register an account using their device. On the registration screen, users enter basic information such as their name and email address. This entered information is sent to the server as user profile data. This profile data is used as foundational information for story generation in subsequent steps.

[0586] Step 2:

[0587] The terminal displays prompts about the user's hobbies and interests. The user responds by entering information about their interests. For example, they might answer a question like, "What is your favorite animal?" This input information is sent to the server to determine the theme of the story. The server receives this information, analyzes it, and stores it in a database.

[0588] Step 3:

[0589] The device uses a camera and microphone to collect user voice and facial expression data. It captures the user's facial expressions and voice tone to form emotional data. This emotional data is transmitted to the server in real time. The server analyzes the received emotional data and organizes it into a data structure by converting the user's emotional state into numerical values ​​and categories.

[0590] Step 4:

[0591] The server generates a story using a generative AI model based on collected interest and emotion data. In this process, the storyline and tone are determined based on the input data. For example, if the user is in a positive emotional state, the story will be adjusted to include a more upbeat plot. The output of this step is user-optimized story text data.

[0592] Step 5:

[0593] The device displays a generated story to the user. The user can read through the story, and emotional data is updated as needed, adjusting the story's content in real time. This real-time adjustment ensures the story is more responsive to the user's emotional state. The ultimate goal is for the user to have a personalized reading experience.

[0594] (Application Example 2)

[0595] 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."

[0596] While conventional story generation systems could create customized stories based on users' interests and hobbies, they did not adequately consider the user's emotional state when adjusting the content. Therefore, it was difficult to provide a story experience that was perfectly suited to each individual user. Furthermore, when all family members participated, providing a balanced story for members with differing emotional states was also a challenge.

[0597] 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.

[0598] In this invention, the server includes means for inputting data on the user's interests and hobbies, means for analyzing the user's emotional state, and means for generating a story adjusted based on the collected responses and the analyzed emotional state. This makes it possible to provide a story that can be adjusted not only based on the user's interests and hobbies but also according to their emotional state, thereby realizing a more personalized experience for each user.

[0599] The term "hobby" refers to an activity or interest that an individual enjoys in their leisure time.

[0600] "Interest" refers to a state of having attention to or a desire for knowledge about a particular matter.

[0601] "Emotional state" refers to the user's mental state, including psychological reactions and mood.

[0602] "Analysis" is the process of breaking down information and understanding its relationships and meanings.

[0603] "Adjustment" refers to the act of modifying or changing methods in order to make different elements compatible.

[0604] A "story" refers to content that expresses events or situations using words or text, and possesses a narrative quality.

[0605] "Generation" refers to the act of creating or constructing something anew.

[0606] The term "family" refers to a group of people bound together by blood ties, marriage, or other similar relationships.

[0607] "Dynamic" refers to a characteristic that changes or reacts in accordance with the situation or conditions.

[0608] A "prompt message" is a sentence containing instructions or questions that are input to a generative AI model.

[0609] The system based on this invention generates stories tailored to the user's hobbies and interests, and dynamically adjusts the stories according to the user's emotional state. The server receives data on the user's hobbies and interests entered via a terminal and determines the theme of the story based on that data. Furthermore, it presents interactive questions and performs emotional analysis based on the user's responses.

[0610] Specifically, the device uses its camera and microphone to capture and record the user's facial expressions and tone of voice, and analyzes this data in real time using analysis software (e.g., OpenCV, Google Speech-to-Text API). Once an emotional state is identified, the information is sent to a server, which uses a generative AI model (e.g., OpenAI's GPT series) to generate a story that corresponds to the user's emotions.

[0611] This story generation process dynamically adjusts the content to be uplifting for positive emotions and encouraging for negative emotions. To improve the user experience, family mode can simultaneously analyze the emotions of multiple members and provide a balanced, shared narrative.

[0612] For example, if sentiment analysis determines that a user is feeling a little down, the server is designed to generate a "story of a brave protagonist overcoming difficulties," which a household robot then narrates to give the user hope. An example of a prompt might be, "The child seems a little worried about something that happened at school. Please tell a five-minute uplifting story that fits this mood."

[0613] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0614] Step 1:

[0615] The terminal receives data from the user regarding their hobbies and interests. This input data reflects the user's interests and forms the basis for subsequent story generation. The terminal then sends this data to the server.

[0616] Step 2:

[0617] The server analyzes the received data on hobbies and interests to determine an appropriate story theme. In this process, an algorithm selects the most suitable theme from the candidate themes stored in the database and generates an initial story based on it.

[0618] Step 3:

[0619] The device presents the user with interactive questions and collects their responses. These responses are provided via voice or text, and the collected responses are then used for further personalized interaction.

[0620] Step 4:

[0621] The device uses its camera and microphone to capture the user's facial expressions and tone of voice, and performs emotion analysis. This process utilizes analysis software (e.g., OpenCV, Google Speech-to-Text API) to identify the user's real-time emotional state. The analysis results are then sent to a server.

[0622] Step 5:

[0623] The server dynamically generates a story using a generative AI model based on the collected response data and analyzed emotional state. Here, a prompt sentence is input to the generative AI model, and a story that matches the user's emotions is output.

[0624] Step 6:

[0625] The device presents the generated story to the user. This may involve playing the story as audio through the robot's speaker or displaying it as text on a screen. This allows the user to experience a personalized narrative.

[0626] 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.

[0627] 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.

[0628] 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.

[0629] [Fourth Embodiment]

[0630] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0631] 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.

[0632] 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).

[0633] 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.

[0634] 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.

[0635] 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).

[0636] 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.

[0637] 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.

[0638] 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.

[0639] 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.

[0640] 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.

[0641] 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.

[0642] 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".

[0643] In order to implement this invention, the system must first have user registration and login functions. Specifically, the server receives user registration information and stores it in a database. Users create accounts through their terminals, and the server performs authentication during login.

[0644] Next, the system displays questions about the user's hobbies and interests on the device and collects their responses. This collected information is stored in a database by the server and used to customize the story generation process.

[0645] Story generation occurs through an interactive questioning process. The device sequentially presents questions to the user and sends the user's answers to the server. The server uses an AI engine to generate a story plot based on these answers. The generated story is displayed on the device in real time, allowing the user to read it immediately.

[0646] When using Family Mode, the device sequentially presents questions to family members and collects their opinions. The server aggregates these responses and collaboratively generates a customized story. The completed story is displayed on the device, allowing the whole family to enjoy it together.

[0647] For example, if a user is interested in "space travel," the system will set the story in space through related questions and construct the characters and events based on the user's answers. For instance, if the user talks about a brave space explorer, the generated story will be about that character's adventures in space.

[0648] This system allows children to enjoy stories that suit their interests and fosters their creativity through collaborative storytelling with their families.

[0649] The following describes the processing flow.

[0650] Step 1:

[0651] The user enters the name, email address, and password required to create a new account on their device. The device then sends this information to the server.

[0652] Step 2:

[0653] The server validates the received user information and, if there are no problems, saves the information to the database. It then sends a message back to the terminal confirming that user registration is complete.

[0654] Step 3:

[0655] The user attempts to log in using their device by entering their registered email address and password. The device then sends this information to the server.

[0656] Step 4:

[0657] The server authenticates the user by matching them with information in the database. If authentication is successful, it grants access to available functions and instructs the terminal to display a success screen.

[0658] Step 5:

[0659] The device displays a questionnaire to the user asking questions about their hobbies and interests. The user then enters their answers.

[0660] Step 6:

[0661] The device sends the user's response to the server. The server stores this information as customized data for generating the next story.

[0662] Step 7:

[0663] The server designs interactive questions based on the response data and sends them to the terminal. The terminal then displays these questions to the user.

[0664] Step 8:

[0665] The user sequentially enters answers to the presented questions. The device sends each answer to the server in real time.

[0666] Step 9:

[0667] The server uses AI technology to generate a story plot based on the user's interests and responses. The generated plot is then sent to the device.

[0668] Step 10:

[0669] The device displays the generated story to the user. The user can enjoy and read the displayed story.

[0670] Step 11:

[0671] If Family Mode is selected, the device will sequentially present pre-set questions to each family member. Each member enters their answer, and the device sends it to the server.

[0672] Step 12:

[0673] The server aggregates the responses from all family members and generates a common narrative. It then sends the generated narrative to the device.

[0674] Step 13:

[0675] The device displays the completed story so that the whole family can participate and read it together. Family members can enjoy the story together.

[0676] (Example 1)

[0677] 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".

[0678] Modern story generation systems face challenges such as insufficient customization based on individual user interests and a lack of features for families to create and enjoy stories together. Existing systems lack immediacy in the interactive story generation process, and there are limitations to real-time story generation and display.

[0679] 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.

[0680] In this invention, the server includes means for the user to register personal data and authenticate using an information processing device, means for inputting materials based on the user's interests and storing them in a storage medium, and means for collecting data from the user in the form of questions and transferring the answers to an answering device. This enables the instantaneous generation and display of stories that reflect the user's individual hobbies and interests. It also enables the whole family to cooperate in creating and enjoying stories.

[0681] An "information processing device" is a device used for inputting, processing, and outputting data, and supports the registration and authentication of user information.

[0682] "User" refers to the person who operates the system and provides individual data and interests.

[0683] "Personal data" refers to information that identifies an individual, including the user's name, contact information, and password.

[0684] A "storage medium" is a physical or digital medium used to store data for a long period of time, and is a place where information about a user's interests is recorded.

[0685] "Question format" refers to an interactive method for obtaining information from users, which involves presenting questions and collecting answers.

[0686] An "answer device" is a system component used to receive, interpret, and process collected answer data.

[0687] A "generative artificial intelligence engine" is software that executes algorithms to generate stories based on data collected from the user.

[0688] A "display device" is hardware that visually outputs the generated story, allowing the user to confirm its content.

[0689] To implement the present invention, the system first includes an information processing device that provides user registration and login functions. The user enters personal data through a terminal and creates an account. The terminal sends the user's registration information to a server, which stores it in a storage medium. This process allows the user to access the system and manage their individual data.

[0690] To collect information about interests and hobbies, the terminal provides the user with a question-based interface. The user inputs information about their interests, and the answers are sent from the terminal to the server. The server collects this data and stores it in a storage medium for use in a later story generation process.

[0691] In story generation, the server inputs collected user data as prompts into the generation AI engine. Based on this, the generation AI model generates a customized story plot, ensuring the story's content aligns with the user's interests. The generated story is immediately sent to the terminal and visualized on the display device. This interactive process allows the user to enjoy the story in real time.

[0692] In Family Mode, the device asks questions to multiple family members alternately, collecting each member's opinions and interests. This information is also sent to a server, and a generative AI model generates a story that can be shared by the entire family. This process promotes communication among family members and provides a collaborative creative experience.

[0693] For example, if a user is interested in "space travel," the prompt would be "Generate an adventure story set in outer space. The protagonist is a brave space explorer, and the storyline includes the discovery of an unknown planet." This prompt prompts the AI ​​to generate a story tailored to the user's interests and provide it to them immediately.

[0694] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0695] Step 1:

[0696] The user enters personal data into a registration form using a device. This input includes username, password, and email address. The device sends this information to the server, which stores the data on a storage medium. The user information is managed in a database and prepared for future authentication. Data processing here includes password encryption.

[0697] Step 2:

[0698] The user enters their login information on the login screen using their device. The device sends the entered login information to the server, which authenticates the user by comparing it with a stored database. If authentication is successful, access is granted and the user can log in to their account. The authentication process includes comparing encrypted passwords.

[0699] Step 3:

[0700] The terminal displays questions to the user about their interests and hobbies. The user answers these questions and inputs data about their interests. This input data is sent from the terminal to the server. The server collects the data and stores it in a storage medium in preparation for the story generation process. The data processing performed here involves classifying and organizing the input categories.

[0701] Step 4:

[0702] The terminal displays a series of interactive questions to the user, collecting detailed information about the story. The user answers each question and inputs data, which the terminal sends to the server. The server aggregates the collected answers and uses a generative artificial intelligence engine to generate prompt sentences. The data processing here involves parsing the answer data and forming the prompt sentences.

[0703] Step 5:

[0704] The server inputs prompts into the generative AI model, generating a story plot based on the user's interests and hobbies. The generated story is sent from the server to the terminal in real time. The data calculation here is the process of generating the story structure by the generative AI model.

[0705] Step 6:

[0706] The terminal outputs the story received from the server to a display device, allowing the user to read it. The user can then view and enjoy the generated story. In this step, the story data is processed into a visual output.

[0707] (Application Example 1)

[0708] 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".

[0709] In recent years, there has been a growing demand for the creation and sharing of stories using digital media in various forms. However, there is a lack of systems that can generate stories in real time based on individual user preferences and interests, and that allow users to share those stories with family and friends. Therefore, there is a need to build a system that provides users with personalized story experiences while also enabling richer experiences through sharing with others.

[0710] 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.

[0711] In this invention, the server includes means for inputting information related to the user's areas of interest and preferences, means for selecting the theme and content of a story based on the input information, and means for posing interactive questions to the user and collecting responses. This makes it possible to generate a customized story in real time that is tailored to the user's individual preferences and to share that experience with other individuals.

[0712] "User areas of interest and preferences" refers to information about themes and elements that individual users are interested in and like.

[0713] "Means of inputting information" refers to a device that acts as an interface for users to collect data related to their hobbies and interests.

[0714] "Means for selecting the subject and content of a story" refers to a device that has the function of determining the theme and storyline of a story based on collected user information.

[0715] "Interactive questioning" refers to questions and prompts used to collect responses and opinions from users through dialogue.

[0716] "Means for collecting responses" refers to a device or program for recording and storing user responses and choices.

[0717] A "customized story" refers to a story that is uniquely compiled according to the individual needs and interests of the user.

[0718] A "device for real-time visual display" is a display system that can instantly show a generated story to the user visually.

[0719] The "feature for sharing stories over a network" refers to a system that uses the internet or other communication methods to share generated stories with other users and devices.

[0720] To implement this invention, a server, user terminals, and network connectivity are required. The server is built using the Django framework with Python and provides a foundation for collecting and analyzing user information. PostgreSQL is used for the database to efficiently store data.

[0721] An application built with Flutter is installed on the user's device. This application provides a user interface, allowing the user to input information about their areas of interest and preferences. On the server side, OpenAI's GPT model is used as the AI ​​engine to generate an appropriate story based on the collected information and responses to interactive questions. The generated story is displayed visually on the device in real time.

[0722] For example, if a user expresses interest in "fantasy adventures," the application on the device will present a series of relevant questions based on this interest and collect responses from the user. The server inputs a prompt into the GPT model: "Generate a story about a brave adventurer who meets a dragon in a magical land. Please describe the setting of the adventure, the characters encountered, and the problems solved in detail." The server then generates a story that matches the user's interests. The generated story is instantly displayed visually on the device and can be shared with family and friends over the network.

[0723] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0724] Step 1:

[0725] The user launches the application through their device and enters personal information and interest data on the account creation screen. The entered data is sent from the device to the server. This information includes the user's areas of interest and preferences.

[0726] Step 2:

[0727] The server stores the received user information in a database. PostgreSQL is used as the database to manage the information accurately and efficiently. The stored information is used to analyze the user's interests and preferences.

[0728] Step 3:

[0729] The user selects categories or themes of interest through the device's interface. Based on the selected information, the device generates relevant questions and presents them to the user.

[0730] Step 4:

[0731] The user answers the presented questions. The device collects these responses and sends them to the server. The submitted responses become important data points in the process of generating a customized story.

[0732] Step 5:

[0733] The server inputs the collected responses into the AI ​​engine. The AI ​​engine used is OpenAI's GPT model, which is used to generate and input prompt sentences. Based on these prompt sentences, the AI ​​model generates a story that matches the user's interests.

[0734] Step 6:

[0735] The server sends the generated story to the device, which then displays the story visually. Users can experience the generated story in real time and enjoy the narrative.

[0736] Step 7:

[0737] Users can share stories generated using their devices with family and friends. This sharing takes place over a network, allowing for simultaneous viewing on multiple devices.

[0738] 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.

[0739] In embodiments of the present invention, in generating stories based on children's interests and hobbies, an emotion engine is further incorporated to recognize the user's emotions and provide a function to adjust the story content accordingly.

[0740] The system begins with the user registering an account via their device and entering the necessary information. By entering information about their hobbies and interests, the user builds the foundational data for a story tailored to them.

[0741] Next, the emotion engine recognizes the user's emotions in real time as it asks interactive questions. For example, it analyzes the user's tone of voice and facial expressions when they answer questions to understand their emotional state. This information is then reflected in story generation via the server.

[0742] The device sends user emotion data to a server, which uses AI to generate a story based on this data. If the user's emotions are positive, the story's progression is adjusted to be more cheerful; conversely, if negative emotions are detected, the story can be adjusted to incorporate encouraging elements.

[0743] For example, if a user expresses a slightly depressed mood, the system will set up a storyline in which a brave protagonist overcomes difficulties, generating content that gives the user hope. In this way, the emotion engine dynamically adjusts content according to the user's mental state, providing a more personalized experience.

[0744] Furthermore, in Family Mode, the emotions of multiple users are analyzed simultaneously to create a balanced story that everyone can enjoy. The device manages the process in which each family member participates and answers in turn. The aggregated data is integrated on a server, and a common story reflecting everyone's emotional information is generated.

[0745] Through this system, children and their families can enjoy stories in a way that aligns with their own emotions, leading to a richer reading experience.

[0746] The following describes the processing flow.

[0747] Step 1:

[0748] The user registers an account on their device and enters necessary information such as their name, email address, and password. The device then sends this information to the server.

[0749] Step 2:

[0750] The server validates the submitted user information and, if there are no problems, saves it to the database. A confirmation message is sent to the terminal upon completion of registration.

[0751] Step 3:

[0752] The user logs in through their device and accesses their account. The device sends login information to the server, which then authenticates the user by comparing it against the database.

[0753] Step 4:

[0754] After successful authentication, the device displays a questionnaire to the user about their hobbies and interests. The user then enters their answers regarding topics, characters, and other things they are interested in.

[0755] Step 5:

[0756] The terminal sends the user's response data to the server. The server stores this data in a database and uses it as customized information for story generation.

[0757] Step 6:

[0758] The device sequentially presents the user with interactive questions. The user answers the questions, and during this time, the device's built-in emotion engine analyzes the user's emotional state.

[0759] Step 7:

[0760] The emotion engine analyzes the user's voice tone and facial expressions to identify their current emotional state. The analysis results are then sent to the server.

[0761] Step 8:

[0762] The server combines user interest and emotion data to generate a personalized story plot using AI. The story content is adjusted according to the user's emotions.

[0763] Step 9:

[0764] The server sends the generated story to the terminal. The terminal displays the story to the user, allowing the user to read its contents.

[0765] Step 10:

[0766] When Family Mode is selected, the device will present questions to each family member in turn and use an emotion engine to analyze each user's emotions.

[0767] Step 11:

[0768] After all member data has been collected, the server uses it to generate a story that the whole family can enjoy. The generated story will be adapted for family mode.

[0769] Step 12:

[0770] The server sends the completed story to the device. The device displays the story so that the whole family can participate and enjoy it. Family members can enjoy the story together.

[0771] (Example 2)

[0772] 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".

[0773] Traditional story generation systems allowed for customization based on user preferences and interests, but lacked the ability to dynamically adjust story content in response to the user's emotional state. Therefore, providing stories optimized for the user's mental state was difficult, and there was a particular need for real-time adjustments to stories in response to emotional changes.

[0774] 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.

[0775] In this invention, the server includes means for collecting data on the user's emotional state, an emotion analysis engine means for analyzing the collected emotional data and adjusting the story content, and a generative AI model means for generating a story based on information about the user's hobbies and interests. This makes it possible to provide personalized stories that are tailored to the user's emotions.

[0776] "Emotional state" refers to information that represents the user's mental and psychological tendencies, and is data collected through voice, facial expressions, and other means.

[0777] The "emotion analysis engine" is a software component that analyzes the emotional state of users collected from the data, and makes decisions to dynamically adjust the narrative content.

[0778] A "generative AI model" is an artificial intelligence algorithm that generates stories tailored to a specific purpose based on given data, creating content that matches the user's tastes and interests.

[0779] A "prompt" is a question or command presented to a user to provide an interactive experience, and is used to elicit a response from the user.

[0780] This invention is a system that generates stories tailored to the user's emotional state and interests, and its implementation involves the coordinated functioning of multiple components, including a terminal, a server, and a generative AI model.

[0781] Users first register an account through their device and enter information about their interests and hobbies. This information is sent to the server as the user's individual data profile. The device uses its camera and microphone to capture emotional data such as the user's facial expressions and voice. For example, it collects the voice tone and facial changes when the user answers questions, and uses this as material for analysis by the emotion analysis engine.

[0782] The server analyzes the received emotional data and uses a generative AI model to generate a story tailored to the user's state. This AI model has the ability to create customized content based on the user's hobbies and interests. Furthermore, content adjustments based on emotional analysis include positive stories and encouraging content for users experiencing negative emotions.

[0783] For example, if a user is feeling a bit down, a story might be set up in which "a brave protagonist overcomes difficulties and achieves success." In this case, the system generates a story that gives the user hope and courage.

[0784] Examples of prompts include questions such as, "What is your favorite animal?", "How are you feeling today?", and "What kind of adventure stories are you interested in?". These prompts elicit responses from the user, and a story is generated based on those responses.

[0785] This system design allows for personalized storytelling experiences that resonate with users' emotions, resulting in a richer reading experience through the implementation of this invention.

[0786] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0787] Step 1:

[0788] Users register an account using their device. On the registration screen, users enter basic information such as their name and email address. This entered information is sent to the server as user profile data. This profile data is used as foundational information for story generation in subsequent steps.

[0789] Step 2:

[0790] The terminal displays prompts about the user's hobbies and interests. The user responds by entering information about their interests. For example, they might answer a question like, "What is your favorite animal?" This input information is sent to the server to determine the theme of the story. The server receives this information, analyzes it, and stores it in a database.

[0791] Step 3:

[0792] The device uses a camera and microphone to collect user voice and facial expression data. It captures the user's facial expressions and voice tone to form emotional data. This emotional data is transmitted to the server in real time. The server analyzes the received emotional data and organizes it into a data structure by converting the user's emotional state into numerical values ​​and categories.

[0793] Step 4:

[0794] The server generates a story using a generative AI model based on collected interest and emotion data. In this process, the storyline and tone are determined based on the input data. For example, if the user is in a positive emotional state, the story will be adjusted to include a more upbeat plot. The output of this step is user-optimized story text data.

[0795] Step 5:

[0796] The device displays a generated story to the user. The user can read through the story, and emotional data is updated as needed, adjusting the story's content in real time. This real-time adjustment ensures the story is more responsive to the user's emotional state. The ultimate goal is for the user to have a personalized reading experience.

[0797] (Application Example 2)

[0798] 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".

[0799] While conventional story generation systems could create customized stories based on users' interests and hobbies, they did not adequately consider the user's emotional state when adjusting the content. Therefore, it was difficult to provide a story experience that was perfectly suited to each individual user. Furthermore, when all family members participated, providing a balanced story for members with differing emotional states was also a challenge.

[0800] 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.

[0801] In this invention, the server includes means for inputting data on the user's interests and hobbies, means for analyzing the user's emotional state, and means for generating a story adjusted based on the collected responses and the analyzed emotional state. This makes it possible to provide a story that can be adjusted not only based on the user's interests and hobbies but also according to their emotional state, thereby realizing a more personalized experience for each user.

[0802] The term "hobby" refers to an activity or interest that an individual enjoys in their leisure time.

[0803] "Interest" refers to a state of having attention to or a desire for knowledge about a particular matter.

[0804] "Emotional state" refers to the user's mental state, including psychological reactions and mood.

[0805] "Analysis" is the process of breaking down information and understanding its relationships and meanings.

[0806] "Adjustment" refers to the act of modifying or changing methods in order to make different elements compatible.

[0807] A "story" refers to content that expresses events or situations using words or text, and possesses a narrative quality.

[0808] "Generation" refers to the act of creating or constructing something anew.

[0809] The term "family" refers to a group of people bound together by blood ties, marriage, or other similar relationships.

[0810] "Dynamic" refers to a characteristic that changes or reacts in accordance with the situation or conditions.

[0811] A "prompt message" is a sentence containing instructions or questions that are input to a generative AI model.

[0812] The system based on this invention generates stories tailored to the user's hobbies and interests, and dynamically adjusts the stories according to the user's emotional state. The server receives data on the user's hobbies and interests entered via a terminal and determines the theme of the story based on that data. Furthermore, it presents interactive questions and performs emotional analysis based on the user's responses.

[0813] Specifically, the device uses its camera and microphone to capture and record the user's facial expressions and tone of voice, and analyzes this data in real time using analysis software (e.g., OpenCV, Google Speech-to-Text API). Once an emotional state is identified, the information is sent to a server, which uses a generative AI model (e.g., OpenAI's GPT series) to generate a story that corresponds to the user's emotions.

[0814] This story generation process dynamically adjusts the content to be uplifting for positive emotions and encouraging for negative emotions. To improve the user experience, family mode can simultaneously analyze the emotions of multiple members and provide a balanced, shared narrative.

[0815] For example, if sentiment analysis determines that a user is feeling a little down, the server is designed to generate a "story of a brave protagonist overcoming difficulties," which a household robot then narrates to give the user hope. An example of a prompt might be, "The child seems a little worried about something that happened at school. Please tell a five-minute uplifting story that fits this mood."

[0816] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0817] Step 1:

[0818] The terminal receives data from the user regarding their hobbies and interests. This input data reflects the user's interests and forms the basis for subsequent story generation. The terminal then sends this data to the server.

[0819] Step 2:

[0820] The server analyzes the received data on hobbies and interests to determine an appropriate story theme. In this process, an algorithm selects the most suitable theme from the candidate themes stored in the database and generates an initial story based on it.

[0821] Step 3:

[0822] The device presents the user with interactive questions and collects their responses. These responses are provided via voice or text, and the collected responses are then used for further personalized interaction.

[0823] Step 4:

[0824] The device uses its camera and microphone to capture the user's facial expressions and tone of voice, and performs emotion analysis. This process utilizes analysis software (e.g., OpenCV, Google Speech-to-Text API) to identify the user's real-time emotional state. The analysis results are then sent to a server.

[0825] Step 5:

[0826] The server dynamically generates a story using a generative AI model based on the collected response data and analyzed emotional state. Here, a prompt sentence is input to the generative AI model, and a story that matches the user's emotions is output.

[0827] Step 6:

[0828] The device presents the generated story to the user. This may involve playing the story as audio through the robot's speaker or displaying it as text on a screen. This allows the user to experience a personalized narrative.

[0829] 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.

[0830] 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.

[0831] 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.

[0832] 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.

[0833] 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.

[0834] 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.

[0835] 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.

[0836] 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.

[0837] 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."

[0838] 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.

[0839] 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.

[0840] 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.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] 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.

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] The following is further disclosed regarding the embodiments described above.

[0851] (Claim 1)

[0852] A system that generates customized stories based on children's hobbies and interests,

[0853] A means for users to input information about their interests and hobbies,

[0854] A means of determining the theme and content of a story based on the input information,

[0855] A means of presenting interactive questions to users and collecting their answers,

[0856] A means of generating a customized story based on the collected responses,

[0857] A means of displaying the generated story,

[0858] A system that includes this.

[0859] (Claim 2)

[0860] The system according to claim 1, which includes a function for family members to participate in and collaboratively generate a story.

[0861] (Claim 3)

[0862] The system according to claim 1, comprising the function of generating and displaying a story in real time based on responses from users.

[0863] "Example 1"

[0864] (Claim 1)

[0865] A means by which a user registers personal data and performs authentication using an information processing device,

[0866] A means of inputting data based on the user's interests and saving it to a storage medium,

[0867] A means for collecting data from the user in the form of questions and transferring the answers to an answering device,

[0868] A means of generating a story structure using a generative artificial intelligence engine based on the answer,

[0869] A means of visualizing the generated story on a display device,

[0870] A system that includes this.

[0871] (Claim 2)

[0872] The system according to claim 1, which has a function that allows family members to participate together, gather diverse opinions, and create a story.

[0873] (Claim 3)

[0874] The system according to claim 1, comprising a function to instantly generate and display a story based on the user's answer.

[0875] "Application Example 1"

[0876] (Claim 1)

[0877] A means for inputting information related to the user's areas of interest and preferences,

[0878] A means of selecting the theme and content of a story based on the input information,

[0879] A means of asking users interactive questions and collecting their responses,

[0880] An AI engine that generates customized stories based on collected responses,

[0881] A device that visually displays the generated story in real time,

[0882] A means of sharing a story with multiple individuals through a network,

[0883] A system that includes this.

[0884] (Claim 2)

[0885] The system according to claim 1, comprising an interface in which multiple family members participate in and collaboratively generate a story.

[0886] (Claim 3)

[0887] The system according to claim 1, comprising the function of generating and displaying a story in real time using a generative model based on user responses.

[0888] "Example 2 of combining an emotion engine"

[0889] (Claim 1)

[0890] A means of collecting data on emotional states from users,

[0891] A sentiment analysis engine means that analyzes collected sentiment data to adjust the story content,

[0892] A generative AI model that generates stories based on information about the user's hobbies and interests,

[0893] A means of adjusting the generated story in real time according to the user's emotional state,

[0894] A means of presenting prompts to provide users with an interactive experience,

[0895] A means of displaying the generated story,

[0896] A system that includes this.

[0897] (Claim 2)

[0898] The system according to claim 1, comprising a function to integrate emotional data from multiple users and generate a story that reflects the emotional state of all users.

[0899] (Claim 3)

[0900] The system according to claim 1, comprising a dynamic adjustment function for generating and displaying a story in real time based on sentiment data from the user.

[0901] "Application example 2 when combining with an emotional engine"

[0902] (Claim 1)

[0903] A system that generates customized stories based on a child's hobbies and interests, analyzes the user's emotional state, and dynamically adjusts the story accordingly.

[0904] A means of inputting data from users regarding their interests and hobbies,

[0905] A means of determining the theme and content of a story based on the input data,

[0906] A means of presenting interactive questions to the user and collecting their responses,

[0907] A means for analyzing the emotional state of users,

[0908] A means of generating a narrative adjusted based on collected responses and analyzed emotional states,

[0909] A means of displaying a modified story,

[0910] A system that includes this.

[0911] (Claim 2)

[0912] The system according to claim 1, which has a function to simultaneously analyze the emotional state of family members and generate a story that everyone can enjoy.

[0913] (Claim 3)

[0914] The system according to claim 1, comprising the function of generating and displaying a story in real time based on user responses and analyzed emotional states, and utilizing a generation AI with prompt sentences appropriate to the emotional state. [Explanation of Symbols]

[0915] 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 system that generates customized stories based on children's hobbies and interests, A means for users to input information about their interests and hobbies, A means of determining the theme and content of a story based on the input information, A means of presenting interactive questions to users and collecting their answers, A means of generating a customized story based on the collected responses, A means of displaying the generated story, A system that includes this.

2. The system according to claim 1, which includes a function for family members to participate in and collaboratively generate a story.

3. The system according to claim 1, comprising a function for generating and displaying a story in real time based on responses from users.

Images