system

Abstract

We provide the system. [Solution] A means of receiving information about children's interests as input, A means for generating a story based on the aforementioned interest information, A means of customizing the generated story by combining it with image information, A means of outputting customized picture book data, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern families, it is difficult to continuously hold many paper picture books due to physical space constraints, and it is not easy to find picture books with appropriate content according to children's growth and interests. Furthermore, since the content of off-the-shelf picture books is fixed, children may get bored with them. Therefore, there is a demand for a system that can dynamically generate and customize content according to children's interests and growth.

Means for Solving the Problems

[0005] This invention provides a system that receives information about a child's interests as input and automatically generates an appropriate story based on that information. Furthermore, it customizes the generated story by combining it with the child's image information and ultimately outputs it as original picture book data. This picture book data can be viewed on electronic media and converted into a format that can be shared with other devices or sold. This makes it possible to maintain a child's interest while promoting parent-child communication.

[0006] "Children's interest information" refers to information related to themes and events that children are interested in, and is used as input data.

[0007] "Means of generating stories" refers to processes and technologies for dynamically creating content based on input information.

[0008] "Image information" refers to visual data such as photographs and illustrations, which are used to incorporate into the story.

[0009] "Means of customization" refer to processes and technologies for modifying or adjusting generated stories and visual data according to specific needs and requirements.

[0010] "Picture book data" refers to content in digital format that includes generated and customized story and visual information.

[0011] "Output method" refers to the process or technology for displaying or delivering the final picture book data on a device or medium to the user.

[0012] "Age information" refers to data about a child's age, which is used to adjust the difficulty of story generation and the appropriateness of the content.

[0013] "Means of converting data for sharing or selling to other devices" refers to processes and technologies for converting generated picture book data into a format usable on different platforms and devices. [Brief explanation of the drawing]

[0014] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] [[ID=Z12]]First, the terms used in the following description will be explained.

[0017] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0020] Note: There seems to be a minor issue in the original text where the start of the description of terms in ID=12 is not well-formatted. I've adjusted the translation of that part for better readability while following the rules. Also, the original text has some consecutive tags without content which are maintained as is in the translation.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).

[0021] 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."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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".

[0035] This invention is a system for generating and customizing original picture books for children, and in particular, dynamically creates stories based on children's interests and age information. The system works by having the user's terminal input necessary information through an application, and the server then generates and customizes the story.

[0036] Specifically, the user launches an application on their device and inputs information about the child's interests, as well as image data such as photos. The user can also input age information to ensure the story content is at an appropriate difficulty level. The device then sends this information to the server.

[0037] The server analyzes the received information and uses story generation AI to dynamically generate appropriate stories. The generated stories are tailored to children's interests and have a complexity appropriate for their age. After the story is generated, the server incorporates image data received from the user and performs individual customization.

[0038] The completed picture book data is sent to the device in e-book format, allowing users to view the book within the app. This picture book data is in a format that allows it to be shared with other devices and displayed on projectors and televisions. Furthermore, the picture book data can be shared with other users and sold through the platform.

[0039] For example, when generating an adventure story for a 3-year-old child, if the user enters the keywords "animals" and "adventure," the server will generate an adventure story with animals as the main characters. Furthermore, if, for instance, a photo of the child smiling is uploaded, that photo will be incorporated into the picture book, appearing as a companion to the main animal character, thus providing customization according to the user's intentions. This system can support creative activities between parents and children and promote children's learning and growth.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The user launches the application on their device. The user enters information about the child's interests and age, and uploads image data of the child's photos or drawings as needed.

[0043] Step 2:

[0044] The device receives user input and transmits it to the server in real time. The data transmitted includes interest information, age information, and image data.

[0045] Step 3:

[0046] The server analyzes the received data. The server analyzes interest information and age information and searches the database for suitable story patterns.

[0047] Step 4:

[0048] The server uses a story generation AI to dynamically generate story content from searched story patterns. During generation, it determines the theme based on interest information and adjusts the difficulty level according to age.

[0049] Step 5:

[0050] The server incorporates user-provided image data into the generated story, allowing for customization. For example, a child's photo could be used as part of a character or background within the story.

[0051] Step 6:

[0052] The server converts the customized picture book data into an ebook format and a format compatible with display on other devices.

[0053] Step 7:

[0054] The server sends the completed picture book data to the device. The user can then open the picture book in the application and experience the story interactively.

[0055] Step 8:

[0056] Users can choose to display the generated picture books on other devices, or share or sell them on the platform, as needed.

[0057] (Example 1)

[0058] 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."

[0059] Children's picture books typically rely on general themes and stories, and do not cater to the individual interests or ages of children. Furthermore, existing picture book production often relies on specific stories and target characters, making it difficult to provide personalized narratives. Additionally, format conversion can be cumbersome when sharing or selling picture books. Addressing these issues is crucial.

[0060] 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.

[0061] In this invention, the server includes means for receiving information about a child's interests and age as input, means for generating a story using a generation AI model based on prompt statements, and means for customizing the generated story by combining it with image information provided by the user. This enables the dynamic generation of personalized picture books that correspond to a child's interests and age, and allows for customization to meet individual needs. Furthermore, a function is provided to convert the customized picture book data into a data format for sharing or selling to other recording devices, thereby expanding the range of uses for the picture books.

[0062] "Children's interest information" refers to information about specific themes and topics that children are interested in, and it serves as the basis for generating stories.

[0063] "Age information" refers to information indicating a child's age, and is used to adjust the difficulty level and content of the generated story.

[0064] A "prompt" is a set of keywords or phrases input into a generative AI model, used to determine the subject matter and direction of a story during its generation process.

[0065] A "generative AI model" is a machine learning algorithm or model that automatically generates a story based on the input prompt text.

[0066] "Customization" is the process of adapting user-provided image information to a generated story, adjusting the narrative according to individual needs and preferences.

[0067] An "eBook format" is a file format used to output and save picture book data in a format viewable on digital devices, and is used to enhance convenience and compatibility.

[0068] A "recording device" is a device used to store, display, and share digital data, and is a general term for equipment including computers, tablets, projectors, and televisions.

[0069] This invention is a system that generates and customizes original picture books based on the child's interests and age information provided by the user. The system utilizes a user's terminal, a server, and a story generation AI model. The user inputs and manages information through a dedicated application installed on the terminal.

[0070] The user enters keywords related to the child's interests (e.g., "animals," "adventure") and information about the child's age into the device. Image data of the child can also be provided if necessary. This information is sent from the device to the server. The server receives the information and generates a story using a generative AI model. This generative AI model dynamically constructs the story's theme and content based on the prompt text.

[0071] For example, if you enter the prompt "A story about animals going on an adventure," the server will automatically generate a story in which animals explore a new place and overcome various difficulties. The generated story can be customized by integrating image data. If the user has sent in a photo of their child, it can be used as part of the picture book to create a more personalized book.

[0072] Ultimately, the server outputs the customized picture book data in ebook format and sends it to the device. Users can view this ebook through an application, and can also use, share, and sell this data on other recording devices. The system ensures the security of information by exchanging data via a secure communication protocol.

[0073] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0074] Step 1:

[0075] Users launch a dedicated application on their device and enter keywords related to their child's interests and age information. They also upload image data, such as photos of their child, as needed. This collects the basic data necessary for generating personalized picture books for children. The information entered by the user is temporarily stored within the application and prepared for transmission to the server.

[0076] Step 2:

[0077] The terminal organizes the data collected from the user and sends it to the server. This transmission is performed using a secure protocol to ensure the safety and integrity of the data. The input data includes interest information, age information, and image data. The terminal compiles and packages this data and sends it in a format that the server can easily process.

[0078] Step 3:

[0079] The server analyzes the data received from the terminal and uses a generative AI model to generate a story based on the prompt. Specifically, if it receives the prompt "A story about animals going on an adventure," the server dynamically constructs a story in which the animals go on various adventures. This data processing uses an algorithm in which the AI ​​logically forms a story framework based on the user's input information.

[0080] Step 4:

[0081] The server incorporates user-provided image data into the generated story. This process utilizes a placement algorithm to ensure that the images are seamlessly integrated into the generated narrative. As a result, the story is customized to reflect the individuality of the child.

[0082] Step 5:

[0083] The server converts the completed, customized story into ebook format data. This conversion makes the data a standard format viewable on terminals and various digital devices. The server then prepares to send the generated ebook data back to the terminal.

[0084] Step 6:

[0085] The device receives ebook data sent from the server and provides it to the user. This data can be viewed through a dedicated application. Furthermore, users can display the generated picture books on other devices, share them with others via a sharing platform, or even sell them.

[0086] (Application Example 1)

[0087] 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."

[0088] In today's world, providing children with the optimal storytelling experience tailored to their individual interests and ages is challenging. Existing picture books often contain uniform content, making it difficult to capture their interest. Furthermore, there is a need to create an environment where generated stories can be visually enjoyed on various devices. Therefore, providing personalized education and entertainment presents a significant challenge.

[0089] 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.

[0090] In this invention, the server includes a device that receives information about a child's interests as input, a device that generates a story based on the interest information, and a device that combines image information with the generated story to personalize it. This makes it possible to provide a personalized story experience tailored to a child's interests and age as ebook data, which can then be displayed on a mobile device.

[0091] "Interest information" refers to data about a child's interests and preferences, obtained through user input.

[0092] "Story generation" is a process that automatically creates personalized stories based on interest information and age information.

[0093] "Image information" refers to visual data such as photos and drawings provided by users, and is used to personalize the narrative.

[0094] "Individualization" is the process of transforming a generated story into unique content by reflecting the child's characteristics and interests.

[0095] "E-book data" refers to digital data containing the generated story and associated images, in a format that can be viewed on a variety of devices.

[0096] A "mobile device" refers to a portable electronic device such as a smartphone or tablet.

[0097] An "information processing device" is a component of a device or system that generates and outputs a story based on input data.

[0098] "Transfer or supply" refers to the process of transmitting generated digital data to other devices or platforms.

[0099] A system for realizing an embodiment of this invention includes a server, a user terminal, and a mobile device. The server is a computer with advanced data processing capabilities and is equipped with a story generation engine that utilizes a generative AI model. The server has the function of generating stories based on children's interest information and age information, and combining them with image information to create personalized e-book data. This e-book data is output in a format that can be viewed on various mobile devices.

[0100] The user terminal is an information input device such as a smartphone, tablet, or personal computer. The user uses the terminal to input information about the child's interests and age, and adds image data such as photos and diagrams as needed. This information is transmitted from the terminal to the server via the internet.

[0101] On the server, a generative AI model dynamically generates stories using prompts. For example, if a user inputs "animals" and "adventure" as interests for a 3-year-old child, the server prompts the model with "Generate a story about 'animals' and 'adventure' that a 3-year-old child would be interested in. Use simple language and create a story about friends working together to find treasure," and automatically generates an appropriate story.

[0102] The generated stories are then combined with image information to personalize them, reflecting each child's individual characteristics. The final personalized ebook data is returned to the user's device in a format viewable on various mobile devices, allowing parents and children to enjoy it together. For example, a story about animals going on a treasure hunt can incorporate a child's photo as a character. This system provides children with engaging learning and entertainment.

[0103] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0104] Step 1:

[0105] The user launches the application using their device and enters information about their child's interests and age. The device collects the information entered by the user, including any image data (photos, illustrations, etc.) if available. The entered data is then compiled into data packets for transmission to the server.

[0106] Step 2:

[0107] The server receives data packets sent from the terminal. The server analyzes this data and extracts interest information and age information. This analysis includes converting the information into a standardized format for the database. This provides the basic data needed to generate the prompt sentences required for story generation.

[0108] Step 3:

[0109] The server uses a generative AI model to generate prompt sentences. For example, it might create a sentence like, "Generate a story about 'animals' and 'adventure' that a 3-year-old child would be interested in." The server inputs this prompt sentence into the generative AI model, which then generates a story that matches the specified theme and difficulty level.

[0110] Step 4:

[0111] The server combines the generated story with image data. The images are either inserted at specified locations or processed to appear as characters within the story. At this stage, image processing libraries are used to adjust the size and position of the images.

[0112] Step 5:

[0113] The server creates individualized ebook data. The generated story and images are integrated into data that is then converted into an electronic publishing format. This creates a format that can be viewed on a variety of mobile devices.

[0114] Step 6:

[0115] The server finally sends the completed ebook data to the device. The device receives it and prepares it for display to the user. This allows the user to view the generated original picture book on their device.

[0116] 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.

[0117] This invention combines an emotion engine, which recognizes the user's emotions and dynamically adjusts the story based on them, as part of a system for generating original picture books for children. The system provides customized stories that are tailored to the user's emotions, the child's age, and their interests.

[0118] Specifically, the user launches an application on their device and inputs photos of their child, information about their interests, and their age. The user's camera-equipped device captures their facial expressions in real time, and an emotion engine analyzes those expressions to determine their emotions.

[0119] The server processes the information received from the terminal and uses facial recognition to recognize the user's emotions. The emotion engine adjusts the theme of the generated story and the behavior of the characters based on the recognized emotions. This adjustment ensures that the story content is in line with the user's psychological state.

[0120] Furthermore, the generated stories incorporate user emotional data; for example, if the user is smiling, the number of humorous episodes increases. The server incorporates the child's image data provided by the user, in addition to the story content, and customizes each story individually. Finally, the customized picture book data is output as an ebook.

[0121] For example, if a user shows a slightly anxious expression, the emotion engine will pick up on it, and the server will generate a reassuring story or ending. For instance, it might add a scene where an animal safely returns home after its adventure. This system allows users to provide the best possible experience for children and helps strengthen the parent-child bond.

[0122] The following describes the processing flow.

[0123] Step 1:

[0124] The user launches an application on their device. They input information about the child's interests, age, and a photo of the child, and follow the application's instructions to capture the child's face using the device's camera and obtain emotional data in real time.

[0125] Step 2:

[0126] The device transmits interest information, age information, image data, and emotion data inferred from the user's face to a server via the network.

[0127] Step 3:

[0128] The server analyzes the information it receives. In particular, it uses an emotion engine to analyze the user's emotional data and reflects that emotion in the tone and content of the story. For example, if the emotion is "joy," it adds bright and humorous story elements.

[0129] Step 4:

[0130] The server utilizes story generation AI to dynamically generate appropriate story structures by combining interest and age information obtained from users. The generated stories are then adjusted based on emotional data.

[0131] Step 5:

[0132] The server combines user-provided image data with generated stories, customizing them individually. User photos and drawings are integrated as characters and backgrounds in the story.

[0133] Step 6:

[0134] The server formats the completed, customized picture book data as an ebook and sends it to the device.

[0135] Step 7:

[0136] Users view picture book data on their devices. By adjusting the story according to emotions, it becomes possible to provide read-aloud experiences that are tailored to the user's psychological state. If necessary, users can choose to share the data with other devices or sell it on the platform.

[0137] (Example 2)

[0138] 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".

[0139] Conventional children's picture book generation systems have problems with dynamically adjusting stories to take into account the user's emotional state, resulting in insufficient personalization and an inability to provide an experience optimized for the user or child. Furthermore, they cannot make real-time adjustments based on the child's attributes and interests entered by the user, making it difficult to provide an immersive and consistent story.

[0140] 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.

[0141] In this invention, the server includes means for acquiring user facial expression data in real time and analyzing emotions, means for dynamically adjusting the content of the story based on the emotion analysis results, and means for combining image information with the generated story to personalize it. This makes it possible to generate dynamic and personalized stories that respond to the user's emotions.

[0142] "Child attribute information" is a general term for data indicating a child's age, interests, preferences, etc., and is the information that forms the basis for generating personalized content.

[0143] "User emotional information" refers to information indicating the user's psychological state, analyzed based on their facial expressions and reactions, and is used to dynamically adjust the story.

[0144] "Means of generating a story" refers to a process or device for creating a story that includes appropriate themes and characters based on input attribute and emotional information.

[0145] "User facial expression data" refers to image data acquired in real time from the user's face, and it serves as fundamental information for analyzing their emotional state.

[0146] "Means of analyzing emotions" refers to technologies or processes that analyze a user's facial expression data to identify emotional states such as smiles or anxiety.

[0147] "Means of dynamically adjusting the content of a story" refers to a method or system for changing the theme and development of a generated story in real time according to the user's emotional state.

[0148] "Methods for combining and personalizing image information" refers to techniques for appropriately arranging children's photos and illustrations within a generated story to create personalized content.

[0149] "Personalized reading materials" refer to reading content that is customized to reflect the user's and child's attribute information and emotional information, and specifically, materials output in e-book format.

[0150] This invention realizes a children's picture book generation system that allows for dynamic customization that takes into account the user's emotional state.

[0151] The user first launches an application installed on the device. This application provides an interface for the user to input the child's attribute information, such as age, interests, and preferences. The device's camera has the function of capturing the user's facial expressions in real time. The facial expression data acquired in real time is sent from the device to the server.

[0152] The server uses facial recognition technology to analyze emotions based on the received facial expression data. This process allows for detailed identification of the user's emotional state. For example, emotions such as smiling, surprise, and anxiety are analyzed. The analysis results are then used to dynamically adjust the story. The server leverages a generative AI model and uses prompts to adjust the narrative. These prompts reflect the user's emotional state and include instructions to change the story's theme or character behavior.

[0153] After story adjustments are complete, the server integrates the child images entered by the user into the generated story. This integration is performed using image processing technology, adjusting the placement and size so that the child's image appears naturally on each page of the story. Finally, the customized picture book is generated in ebook format and output to the device. This ebook is in PDF or ePub format, making it easily viewable by the user.

[0154] As a concrete example, if a user displays an anxious expression on their device, the server sends a prompt message to the AI ​​model stating, "Generate a reassuring story." For instance, the prompt might read, "The child is interested in dinosaurs. Please include reassuring elements in the story." This process ensures that the generated picture book is tailored to the psychological state of both the user and the child, providing a more personalized experience. This results in a special picture book that parents and children can enjoy together.

[0155] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0156] Step 1:

[0157] The user launches the picture book generation application on their device and enters the child's attribute information (age, interests, preferences). This attribute information becomes input data and is sent to the server as basic information for generating a story suitable for the child.

[0158] Step 2:

[0159] The camera equipped on the device captures the user's face in real time and acquires facial expression data. Specifically, the camera continuously photographs the user's facial expressions and sends the image data to the server. The output is facial expression data that reflects the user's emotional state.

[0160] Step 3:

[0161] The server receives facial expression data and analyzes the user's emotions using an emotion recognition algorithm. Using facial expression data as input, it outputs emotion labels such as smiles and surprises. Specifically, an image recognition API analyzes the type of emotion and its degree of certainty.

[0162] Step 4:

[0163] The server dynamically generates a story using prompt sentences in a generative AI model based on the emotion analysis results and the child's attribute information. The input consists of emotion labels and attribute information, and prompt sentences constructed based on this information are sent to the generative AI model. The output is a dynamically adjusted story content.

[0164] Step 5:

[0165] The server incorporates images of children into the generated story. Specifically, it uses image processing techniques to adjust the placement and size of the images, integrating them naturally into the story. The output is personalized reading material with the images incorporated.

[0166] Step 6:

[0167] The server generates personalized reading materials in ebook format and outputs them to the device. The input consists of story content and image information, which are converted to PDF or ePub format and provided to the user. The output is a digital ebook that the user can view.

[0168] (Application Example 2)

[0169] 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".

[0170] While conventional picture book generation systems allow for some customization based on children's interests and age, they struggle to dynamically adjust the story content in real time in response to user emotions. Furthermore, they are unable to provide appropriate stories based on the user's psychological state, which hinders the improvement of the quality of the parent-child experience.

[0171] 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.

[0172] In this invention, the server includes means for receiving signals that recognize the user's emotions, means for dynamically adjusting the story's theme and character actions based on the emotions, and means for combining image data with the adjusted story to personalize it. This enables advanced customization in response to the user's emotions, making it possible to provide a richer and more personalized parent-child experience.

[0173] "User emotion" refers to the psychological or emotional state that the system estimates using the user's facial expression data and other input signals.

[0174] The "theme of the story" refers to the main topic or motif of the narrative being created, and it is what directs the story's progression.

[0175] "Character actions" refer to the actions and reactions of characters in a story, and contribute to the progression of the narrative and the expression of its themes.

[0176] A "tailored story" refers to a narrative that is dynamically modified based on the user's emotions and customization requirements.

[0177] "Image data" refers to digital information that includes visual elements and is used for the visual representation of a story.

[0178] "Personalized eBook data" refers to eBook format data that is customized according to the user's emotions and input information.

[0179] In the system implementing this invention, a terminal such as a smartphone and a server are used to recognize the user's emotions and dynamically generate a picture book. Specifically, first, the terminal uses a camera module to capture the user's face in real time. Next, an emotion recognition API (for example, Microsoft® Azure® Face API) analyzes the facial expression data and estimates the user's emotions.

[0180] Based on this emotion data, the server generates prompt sentences according to a generative AI model (for example, OpenAI®'s GPT). The prompt sentences are in the format of, "A children's story for when the user's emotion is 'anxious': Describe a little rabbit returning to a safe place after an adventure." By inputting this prompt into the AI ​​model, a story that matches the user's psychological state is generated.

[0181] Furthermore, the system overlays user-provided image data of the child onto the generated story to personalize it. This personalized story is output to the device in ebook format and used for parent-child experiences. The generated content can also be shared or sold to other electronic devices at the user's request.

[0182] This allows the system to deliver stories optimized based on the user's emotions, supporting a richer experience and strengthening the parent-child bond.

[0183] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0184] Step 1:

[0185] The device uses its camera to capture the user's face. The input is real-time video data, and the output is facial image data. This data is used as material for emotion recognition.

[0186] Step 2:

[0187] The device calls an emotion recognition API (e.g., Microsoft Azure Face API) to analyze the facial image data obtained earlier. The input is the facial image data obtained in step 1, and the output is emotion data indicating the user's emotions. This emotion data is important information that shows the user's current psychological state.

[0188] Step 3:

[0189] Based on the emotion data obtained in step 2, the server generates a prompt sentence to input into the generative AI model. The input is emotion data, and the output is a prompt sentence. Specifically, it generates text such as, "A children's story for when the user's emotion is 'anxious': Describe a little rabbit returning to a safe place after an adventure."

[0190] Step 4:

[0191] The server generates a prompt message, which is then used to request a story generation AI model (e.g., OpenAI's GPT) to generate a story. The input is the prompt message generated in step 3, and the output is the generated story. In this step, the AI ​​model generates text based on the prompt.

[0192] Step 5:

[0193] The server integrates user-provided child image data into the generated story, personalizing it. The input is the generated story and child image data, and the output is personalized ebook data. This process allows for visual customization of the story.

[0194] Step 6:

[0195] The server outputs the completed ebook data to the terminal, which then displays it to the user. The input is individualized ebook data, and the output is an interactive ebook displayed on the screen. The user can view and experience this data through their own terminal.

[0196] 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.

[0197] 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.

[0198] 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.

[0199] [Second Embodiment]

[0200] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0201] 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.

[0202] 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).

[0203] 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.

[0204] 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.

[0205] 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).

[0206] 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.

[0207] 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.

[0208] 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.

[0209] 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.

[0210] 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.

[0211] 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".

[0212] This invention is a system for generating and customizing original picture books for children, and in particular, dynamically creates stories based on children's interests and age information. The system works by having the user's terminal input necessary information through an application, and the server then generates and customizes the story.

[0213] Specifically, the user launches an application on their device and inputs information about the child's interests, as well as image data such as photos. The user can also input age information to ensure the story content is at an appropriate difficulty level. The device then sends this information to the server.

[0214] The server analyzes the received information and uses story generation AI to dynamically generate appropriate stories. The generated stories are tailored to children's interests and have a complexity appropriate for their age. After the story is generated, the server incorporates image data received from the user and performs individual customization.

[0215] The completed picture book data is sent to the device in e-book format, allowing users to view the book within the app. This picture book data is in a format that allows it to be shared with other devices and displayed on projectors and televisions. Furthermore, the picture book data can be shared with other users and sold through the platform.

[0216] For example, when generating an adventure story for a 3-year-old child, if the user enters the keywords "animals" and "adventure," the server will generate an adventure story with animals as the main characters. Furthermore, if, for instance, a photo of the child smiling is uploaded, that photo will be incorporated into the picture book, appearing as a companion to the main animal character, thus providing customization according to the user's intentions. This system can support creative activities between parents and children and promote children's learning and growth.

[0217] The following describes the processing flow.

[0218] Step 1:

[0219] The user launches the application on their device. The user enters information about the child's interests and age, and uploads image data of the child's photos or drawings as needed.

[0220] Step 2:

[0221] The device receives user input and transmits it to the server in real time. The data transmitted includes interest information, age information, and image data.

[0222] Step 3:

[0223] The server analyzes the received data. The server analyzes interest information and age information and searches the database for suitable story patterns.

[0224] Step 4:

[0225] The server uses a story generation AI to dynamically generate story content from searched story patterns. During generation, it determines the theme based on interest information and adjusts the difficulty level according to age.

[0226] Step 5:

[0227] The server incorporates user-provided image data into the generated story, allowing for customization. For example, a child's photo could be used as part of a character or background within the story.

[0228] Step 6:

[0229] The server converts the customized picture book data into an ebook format and a format compatible with display on other devices.

[0230] Step 7:

[0231] The server sends the completed picture book data to the device. The user can then open the picture book in the application and experience the story interactively.

[0232] Step 8:

[0233] Users can choose to display the generated picture books on other devices, or share or sell them on the platform, as needed.

[0234] (Example 1)

[0235] 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."

[0236] Children's picture books typically rely on general themes and stories, and do not cater to the individual interests or ages of children. Furthermore, existing picture book production often relies on specific stories and target characters, making it difficult to provide personalized narratives. Additionally, format conversion can be cumbersome when sharing or selling picture books. Addressing these issues is crucial.

[0237] 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.

[0238] In this invention, the server includes means for receiving information about a child's interests and age as input, means for generating a story using a generation AI model based on prompt statements, and means for customizing the generated story by combining it with image information provided by the user. This enables the dynamic generation of personalized picture books that correspond to a child's interests and age, and allows for customization to meet individual needs. Furthermore, a function is provided to convert the customized picture book data into a data format for sharing or selling to other recording devices, thereby expanding the range of uses for the picture books.

[0239] "Children's interest information" refers to information about specific themes and topics that children are interested in, and it serves as the basis for generating stories.

[0240] "Age information" refers to information indicating a child's age, and is used to adjust the difficulty level and content of the generated story.

[0241] A "prompt" is a set of keywords or phrases input into a generative AI model, used to determine the subject matter and direction of a story during its generation process.

[0242] A "generative AI model" is a machine learning algorithm or model that automatically generates a story based on the input prompt text.

[0243] "Customization" is the process of adapting user-provided image information to a generated story, adjusting the narrative according to individual needs and preferences.

[0244] An "eBook format" is a file format used to output and save picture book data in a format viewable on digital devices, and is used to enhance convenience and compatibility.

[0245] A "recording device" is a device used to store, display, and share digital data, and is a general term for equipment including computers, tablets, projectors, and televisions.

[0246] This invention is a system that generates and customizes original picture books based on the child's interests and age information provided by the user. The system utilizes a user's terminal, a server, and a story generation AI model. The user inputs and manages information through a dedicated application installed on the terminal.

[0247] The user enters keywords related to the child's interests (e.g., "animals," "adventure") and information about the child's age into the device. Image data of the child can also be provided if necessary. This information is sent from the device to the server. The server receives the information and generates a story using a generative AI model. This generative AI model dynamically constructs the story's theme and content based on the prompt text.

[0248] For example, if you enter the prompt "A story about animals going on an adventure," the server will automatically generate a story in which animals explore a new place and overcome various difficulties. The generated story can be customized by integrating image data. If the user has sent in a photo of their child, it can be used as part of the picture book to create a more personalized book.

[0249] Ultimately, the server outputs the customized picture book data in ebook format and sends it to the device. Users can view this ebook through an application, and can also use, share, and sell this data on other recording devices. The system ensures the security of information by exchanging data via a secure communication protocol.

[0250] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0251] Step 1:

[0252] Users launch a dedicated application on their device and enter keywords related to their child's interests and age information. They also upload image data, such as photos of their child, as needed. This collects the basic data necessary for generating personalized picture books for children. The information entered by the user is temporarily stored within the application and prepared for transmission to the server.

[0253] Step 2:

[0254] The terminal organizes the data collected from the user and sends it to the server. This transmission is performed using a secure protocol to ensure the safety and integrity of the data. The input data includes interest information, age information, and image data. The terminal compiles and packages this data and sends it in a format that the server can easily process.

[0255] Step 3:

[0256] The server analyzes the data received from the terminal and uses a generative AI model to generate a story based on the prompt. Specifically, if it receives the prompt "A story about animals going on an adventure," the server dynamically constructs a story in which the animals go on various adventures. This data processing uses an algorithm in which the AI ​​logically forms a story framework based on the user's input information.

[0257] Step 4:

[0258] The server incorporates user-provided image data into the generated story. This process utilizes a placement algorithm to ensure that the images are seamlessly integrated into the generated narrative. As a result, the story is customized to reflect the individuality of the child.

[0259] Step 5:

[0260] The server converts the completed, customized story into ebook format data. This conversion makes the data a standard format viewable on terminals and various digital devices. The server then prepares to send the generated ebook data back to the terminal.

[0261] Step 6:

[0262] The device receives ebook data sent from the server and provides it to the user. This data can be viewed through a dedicated application. Furthermore, users can display the generated picture books on other devices, share them with others via a sharing platform, or even sell them.

[0263] (Application Example 1)

[0264] 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."

[0265] In today's world, providing children with the optimal storytelling experience tailored to their individual interests and ages is challenging. Existing picture books often contain uniform content, making it difficult to capture their interest. Furthermore, there is a need to create an environment where generated stories can be visually enjoyed on various devices. Therefore, providing personalized education and entertainment presents a significant challenge.

[0266] 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.

[0267] In this invention, the server includes a device that receives information about a child's interests as input, a device that generates a story based on the interest information, and a device that combines image information with the generated story to personalize it. This makes it possible to provide a personalized story experience tailored to a child's interests and age as ebook data, which can then be displayed on a mobile device.

[0268] "Interest information" refers to data about a child's interests and preferences, obtained through user input.

[0269] "Story generation" is a process that automatically creates personalized stories based on interest information and age information.

[0270] "Image information" refers to visual data such as photos and drawings provided by users, and is used to personalize the narrative.

[0271] "Individualization" is the process of transforming a generated story into unique content by reflecting the child's characteristics and interests.

[0272] "E-book data" refers to digital data containing the generated story and associated images, in a format that can be viewed on a variety of devices.

[0273] A "mobile device" refers to a portable electronic device such as a smartphone or tablet.

[0274] An "information processing device" is a component of a device or system that generates and outputs a story based on input data.

[0275] "Transfer or supply" refers to the process of transmitting generated digital data to other devices or platforms.

[0276] A system for realizing an embodiment of this invention includes a server, a user terminal, and a mobile device. The server is a computer with advanced data processing capabilities and is equipped with a story generation engine that utilizes a generative AI model. The server has the function of generating stories based on children's interest information and age information, and combining them with image information to create personalized e-book data. This e-book data is output in a format that can be viewed on various mobile devices.

[0277] The user terminal is an information input device such as a smartphone, tablet, or personal computer. The user uses the terminal to input information about the child's interests and age, and adds image data such as photos and diagrams as needed. This information is transmitted from the terminal to the server via the internet.

[0278] On the server, the generative AI model dynamically generates a story using the prompt text. For example, when the user inputs interests such as "animals" and "adventure" for a 3-year-old child, the server gives the model a prompt like "Please generate a story about 'animals' and 'adventure' that a 3-year-old child is interested in. Please create a story about friends searching for treasure together using simple words." and automatically generates an appropriate story.

[0279] The generated story is then combined with image information and individualized to reflect the individual characteristics of the child. The finally individualized e-book data is returned to the user terminal in a format that can be displayed on various mobile devices, allowing parents and children to enjoy it together. As a specific example, a child's face photo can be incorporated as a character in the story of animals going on a treasure hunt. This mechanism provides interesting learning and entertainment for children.

[0280] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0281] Step 1:

[0282] The user uses the terminal to launch the application and inputs the child's interest information and age information. The terminal collects the information input by the user and includes the image data (such as photos and illustrations) if available. The input data is assembled into a data packet for transmission to the server.

[0283] Step 2:

[0284] The server receives the data packet sent from the terminal. The server analyzes these data and extracts the interest information and age information. This analysis includes converting the information into a standardized format in the database. Thereby, the basic data for generating the prompt text required for story generation is obtained.

[0285] Step 3:

[0286] The server uses a generative AI model to generate a prompt sentence. For example, a sentence like "Please generate a story about 'animals' and 'adventures' that a 3-year-old child would be interested in." is created. The server inputs this prompt sentence into the generative AI model to generate a story according to the specified theme and difficulty level.

[0287] Step 4:

[0288] The server combines the generated story with image data. The image is either inserted at the specified position or processed to appear as a character in the story. At this stage, image processing libraries are used to resize and position the image.

[0289] Step 5:

[0290] The server creates individualized e-book data. The data integrating the generated story and image is converted into an electronic publishing format. This prepares a format that can be viewed on various mobile devices.

[0291] Step 6:

[0292] The server finally transmits the completed e-book data to the terminal. The terminal receives this and prepares it for display to the user. As a result, the user can view the generated original picture book on the device.

[0293] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion recognition model 59 and perform specific processing using the user's emotion.

[0294] This invention combines an emotion engine for recognizing the user's emotion and dynamically adjusting the story based on it as part of a system for generating original picture books for children. The system provides a customized story that conforms to the user's emotion, the child's age, and interests.

[0295] Specifically, the user launches an application on their device and inputs photos of their child, information about their interests, and their age. The user's camera-equipped device captures their facial expressions in real time, and an emotion engine analyzes those expressions to determine their emotions.

[0296] The server processes the information received from the terminal and uses facial recognition to recognize the user's emotions. The emotion engine adjusts the theme of the generated story and the behavior of the characters based on the recognized emotions. This adjustment ensures that the story content is in line with the user's psychological state.

[0297] Furthermore, the generated stories incorporate user emotional data; for example, if the user is smiling, the number of humorous episodes increases. The server incorporates the child's image data provided by the user, in addition to the story content, and customizes each story individually. Finally, the customized picture book data is output as an ebook.

[0298] For example, if a user shows a slightly anxious expression, the emotion engine will pick up on it, and the server will generate a reassuring story or ending. For instance, it might add a scene where an animal safely returns home after its adventure. This system allows users to provide the best possible experience for children and helps strengthen the parent-child bond.

[0299] The following describes the processing flow.

[0300] Step 1:

[0301] The user launches an application on their device. They input information about the child's interests, age, and a photo of the child, and follow the application's instructions to capture the child's face using the device's camera and obtain emotional data in real time.

[0302] Step 2:

[0303] The terminal transmits the interest information, age information, image data obtained from the user, and the emotion data inferred from the face to the server via the network.

[0304] Step 3:

[0305] The server analyzes the received information. In particular, it uses an emotion engine to analyze the user's emotion data and reflects it in the tone and content of the story based on that emotion. For example, if the emotion is "joy", bright and humorous story elements are added.

[0306] Step 4:

[0307] The server utilizes story generation AI to combine the interest information and age information obtained from the user and dynamically generate an appropriate story structure. The generated story is applied with adjustments based on the emotion data.

[0308] Step 5:

[0309] The server combines the image data provided by the user with the generated story and performs individual customization. The user's photos or paintings are integrated as characters or backgrounds in the story.

[0310] Step 6:

[0311] The server formats the completed customized picture book data as an e-book and transmits it to the terminal.

[0312] Step 7:

[0313] The user views the picture book data on the terminal. The adjustment of the story according to the emotion enables a reading experience adapted to the user's psychological state. If necessary, the user can choose to share the data with other devices or sell it on the platform.

[0314] (Example 2)

[0315] 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".

[0316] Conventional children's picture book generation systems have problems with dynamically adjusting stories to take into account the user's emotional state, resulting in insufficient personalization and an inability to provide an experience optimized for the user or child. Furthermore, they cannot make real-time adjustments based on the child's attributes and interests entered by the user, making it difficult to provide an immersive and consistent story.

[0317] 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.

[0318] In this invention, the server includes means for acquiring user facial expression data in real time and analyzing emotions, means for dynamically adjusting the content of the story based on the emotion analysis results, and means for combining image information with the generated story to personalize it. This makes it possible to generate dynamic and personalized stories that respond to the user's emotions.

[0319] "Child attribute information" is a general term for data indicating a child's age, interests, preferences, etc., and is the information that forms the basis for generating personalized content.

[0320] "User emotional information" refers to information indicating the user's psychological state, analyzed based on their facial expressions and reactions, and is used to dynamically adjust the story.

[0321] "Means of generating a story" refers to a process or device for creating a story that includes appropriate themes and characters based on input attribute and emotional information.

[0322] "User facial expression data" refers to image data acquired in real time from the user's face, and it serves as fundamental information for analyzing their emotional state.

[0323] "Means of analyzing emotions" refers to technologies or processes that analyze a user's facial expression data to identify emotional states such as smiles or anxiety.

[0324] "Means of dynamically adjusting the content of a story" refers to a method or system for changing the theme and development of a generated story in real time according to the user's emotional state.

[0325] "Methods for combining and personalizing image information" refers to techniques for appropriately arranging children's photos and illustrations within a generated story to create personalized content.

[0326] "Personalized reading materials" refer to reading content that is customized to reflect the user's and child's attribute information and emotional information, and specifically, materials output in e-book format.

[0327] This invention realizes a children's picture book generation system that allows for dynamic customization that takes into account the user's emotional state.

[0328] The user first launches an application installed on the device. This application provides an interface for the user to input the child's attribute information, such as age, interests, and preferences. The device's camera has the function of capturing the user's facial expressions in real time. The facial expression data acquired in real time is sent from the device to the server.

[0329] The server uses facial recognition technology to analyze emotions based on the received facial expression data. This process allows for detailed identification of the user's emotional state. For example, emotions such as smiling, surprise, and anxiety are analyzed. The analysis results are then used to dynamically adjust the story. The server leverages a generative AI model and uses prompts to adjust the narrative. These prompts reflect the user's emotional state and include instructions to change the story's theme or character behavior.

[0330] After story adjustments are complete, the server integrates the child images entered by the user into the generated story. This integration is performed using image processing technology, adjusting the placement and size so that the child's image appears naturally on each page of the story. Finally, the customized picture book is generated in ebook format and output to the device. This ebook is in PDF or ePub format, making it easily viewable by the user.

[0331] As a concrete example, if a user displays an anxious expression on their device, the server sends a prompt message to the AI ​​model stating, "Generate a reassuring story." For instance, the prompt might read, "The child is interested in dinosaurs. Please include reassuring elements in the story." This process ensures that the generated picture book is tailored to the psychological state of both the user and the child, providing a more personalized experience. This results in a special picture book that parents and children can enjoy together.

[0332] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0333] Step 1:

[0334] The user launches the picture book generation application on their device and enters the child's attribute information (age, interests, preferences). This attribute information becomes input data and is sent to the server as basic information for generating a story suitable for the child.

[0335] Step 2:

[0336] The camera equipped on the device captures the user's face in real time and acquires facial expression data. Specifically, the camera continuously photographs the user's facial expressions and sends the image data to the server. The output is facial expression data that reflects the user's emotional state.

[0337] Step 3:

[0338] The server receives facial expression data and analyzes the user's emotions using an emotion recognition algorithm. Using facial expression data as input, it outputs emotion labels such as smiles and surprises. Specifically, an image recognition API analyzes the type of emotion and its degree of certainty.

[0339] Step 4:

[0340] The server dynamically generates a story using prompt sentences in a generative AI model based on the emotion analysis results and the child's attribute information. The input consists of emotion labels and attribute information, and prompt sentences constructed based on this information are sent to the generative AI model. The output is a dynamically adjusted story content.

[0341] Step 5:

[0342] The server incorporates images of children into the generated story. Specifically, it uses image processing techniques to adjust the placement and size of the images, integrating them naturally into the story. The output is personalized reading material with the images incorporated.

[0343] Step 6:

[0344] The server generates personalized reading materials in ebook format and outputs them to the device. The input consists of story content and image information, which are converted to PDF or ePub format and provided to the user. The output is a digital ebook that the user can view.

[0345] (Application Example 2)

[0346] 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."

[0347] While conventional picture book generation systems allow for some customization based on children's interests and age, they struggle to dynamically adjust the story content in real time in response to user emotions. Furthermore, they are unable to provide appropriate stories based on the user's psychological state, which hinders the improvement of the quality of the parent-child experience.

[0348] 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.

[0349] In this invention, the server includes means for receiving signals that recognize the user's emotions, means for dynamically adjusting the story's theme and character actions based on the emotions, and means for combining image data with the adjusted story to personalize it. This enables advanced customization in response to the user's emotions, making it possible to provide a richer and more personalized parent-child experience.

[0350] "User emotion" refers to the psychological or emotional state that the system estimates using the user's facial expression data and other input signals.

[0351] The "theme of the story" refers to the main topic or motif of the narrative being created, and it is what directs the story's progression.

[0352] "Character actions" refer to the actions and reactions of characters in a story, and contribute to the progression of the narrative and the expression of its themes.

[0353] A "tailored story" refers to a narrative that is dynamically modified based on the user's emotions and customization requirements.

[0354] "Image data" refers to digital information that includes visual elements and is used for the visual representation of a story.

[0355] "Personalized eBook data" refers to eBook format data that is customized according to the user's emotions and input information.

[0356] In the system implementing this invention, a terminal such as a smartphone and a server are used to recognize the user's emotions and dynamically generate a picture book. Specifically, first, the terminal uses a camera module to capture the user's face in real time. Next, an emotion recognition API (for example, Microsoft Azure Face API) analyzes the facial expression data and estimates the user's emotions.

[0357] Based on this emotion data, the server generates prompt sentences according to a generative AI model (for example, OpenAI's GPT). The prompt sentences are in the format of, "A children's story for when the user's emotion is 'anxious': Describe a little rabbit returning to a safe place after an adventure." By inputting this prompt into the AI ​​model, a story that matches the user's psychological state is generated.

[0358] Furthermore, the system overlays user-provided image data of the child onto the generated story to personalize it. This personalized story is output to the device in ebook format and used for parent-child experiences. The generated content can also be shared or sold to other electronic devices at the user's request.

[0359] This allows the system to deliver stories optimized based on the user's emotions, supporting a richer experience and strengthening the parent-child bond.

[0360] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0361] Step 1:

[0362] The device uses its camera to capture the user's face. The input is real-time video data, and the output is facial image data. This data is used as material for emotion recognition.

[0363] Step 2:

[0364] The device calls an emotion recognition API (e.g., Microsoft Azure Face API) to analyze the facial image data obtained earlier. The input is the facial image data obtained in step 1, and the output is emotion data indicating the user's emotions. This emotion data is important information that shows the user's current psychological state.

[0365] Step 3:

[0366] Based on the emotion data obtained in step 2, the server generates a prompt sentence to input into the generative AI model. The input is emotion data, and the output is a prompt sentence. Specifically, it generates text such as, "A children's story for when the user's emotion is 'anxious': Describe a little rabbit returning to a safe place after an adventure."

[0367] Step 4:

[0368] The server generates a prompt message, which is then used to request a story generation AI model (e.g., OpenAI's GPT) to generate a story. The input is the prompt message generated in step 3, and the output is the generated story. In this step, the AI ​​model generates text based on the prompt.

[0369] Step 5:

[0370] The server integrates user-provided child image data into the generated story, personalizing it. The input is the generated story and child image data, and the output is personalized ebook data. This process allows for visual customization of the story.

[0371] Step 6:

[0372] The server outputs the completed ebook data to the terminal, which then displays it to the user. The input is individualized ebook data, and the output is an interactive ebook displayed on the screen. The user can view and experience this data through their own terminal.

[0373] 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.

[0374] 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.

[0375] 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.

[0376] [Third Embodiment]

[0377] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0378] 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.

[0379] 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).

[0380] 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.

[0381] 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.

[0382] 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).

[0383] 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.

[0384] 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.

[0385] 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.

[0386] 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.

[0387] 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.

[0388] 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".

[0389] This invention is a system for generating and customizing original picture books for children, and in particular, dynamically creates stories based on children's interests and age information. The system works by having the user's terminal input necessary information through an application, and the server then generates and customizes the story.

[0390] Specifically, the user launches an application on their device and inputs information about the child's interests, as well as image data such as photos. The user can also input age information to ensure the story content is at an appropriate difficulty level. The device then sends this information to the server.

[0391] The server analyzes the received information and uses story generation AI to dynamically generate appropriate stories. The generated stories are tailored to children's interests and have a complexity appropriate for their age. After the story is generated, the server incorporates image data received from the user and performs individual customization.

[0392] The completed picture book data is sent to the device in e-book format, allowing users to view the book within the app. This picture book data is in a format that allows it to be shared with other devices and displayed on projectors and televisions. Furthermore, the picture book data can be shared with other users and sold through the platform.

[0393] For example, when generating an adventure story for a 3-year-old child, if the user enters the keywords "animals" and "adventure," the server will generate an adventure story with animals as the main characters. Furthermore, if, for instance, a photo of the child smiling is uploaded, that photo will be incorporated into the picture book, appearing as a companion to the main animal character, thus providing customization according to the user's intentions. This system can support creative activities between parents and children and promote children's learning and growth.

[0394] The following describes the processing flow.

[0395] Step 1:

[0396] The user launches the application on their device. The user enters information about the child's interests and age, and uploads image data of the child's photos or drawings as needed.

[0397] Step 2:

[0398] The device receives user input and transmits it to the server in real time. The data transmitted includes interest information, age information, and image data.

[0399] Step 3:

[0400] The server analyzes the received data. The server analyzes interest information and age information and searches the database for suitable story patterns.

[0401] Step 4:

[0402] The server uses a story generation AI to dynamically generate story content from searched story patterns. During generation, it determines the theme based on interest information and adjusts the difficulty level according to age.

[0403] Step 5:

[0404] The server incorporates user-provided image data into the generated story, allowing for customization. For example, a child's photo could be used as part of a character or background within the story.

[0405] Step 6:

[0406] The server converts the customized picture book data into an ebook format and a format compatible with display on other devices.

[0407] Step 7:

[0408] The server sends the completed picture book data to the device. The user can then open the picture book in the application and experience the story interactively.

[0409] Step 8:

[0410] Users can choose to display the generated picture books on other devices, or share or sell them on the platform, as needed.

[0411] (Example 1)

[0412] 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."

[0413] Children's picture books typically rely on general themes and stories, and do not cater to the individual interests or ages of children. Furthermore, existing picture book production often relies on specific stories and target characters, making it difficult to provide personalized narratives. Additionally, format conversion can be cumbersome when sharing or selling picture books. Addressing these issues is crucial.

[0414] 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.

[0415] In this invention, the server includes means for receiving information about a child's interests and age as input, means for generating a story using a generation AI model based on prompt statements, and means for customizing the generated story by combining it with image information provided by the user. This enables the dynamic generation of personalized picture books that correspond to a child's interests and age, and allows for customization to meet individual needs. Furthermore, a function is provided to convert the customized picture book data into a data format for sharing or selling to other recording devices, thereby expanding the range of uses for the picture books.

[0416] "Children's interest information" refers to information about specific themes and topics that children are interested in, and it serves as the basis for generating stories.

[0417] "Age information" refers to information indicating a child's age, and is used to adjust the difficulty level and content of the generated story.

[0418] A "prompt" is a set of keywords or phrases input into a generative AI model, used to determine the subject matter and direction of a story during its generation process.

[0419] A "generative AI model" is a machine learning algorithm or model that automatically generates a story based on the input prompt text.

[0420] "Customization" is the process of adapting user-provided image information to a generated story, adjusting the narrative according to individual needs and preferences.

[0421] An "eBook format" is a file format used to output and save picture book data in a format viewable on digital devices, and is used to enhance convenience and compatibility.

[0422] A "recording device" is a device used to store, display, and share digital data, and is a general term for equipment including computers, tablets, projectors, and televisions.

[0423] This invention is a system that generates and customizes original picture books based on the child's interests and age information provided by the user. The system utilizes a user's terminal, a server, and a story generation AI model. The user inputs and manages information through a dedicated application installed on the terminal.

[0424] The user enters keywords related to the child's interests (e.g., "animals," "adventure") and information about the child's age into the device. Image data of the child can also be provided if necessary. This information is sent from the device to the server. The server receives the information and generates a story using a generative AI model. This generative AI model dynamically constructs the story's theme and content based on the prompt text.

[0425] For example, if you enter the prompt "A story about animals going on an adventure," the server will automatically generate a story in which animals explore a new place and overcome various difficulties. The generated story can be customized by integrating image data. If the user has sent in a photo of their child, it can be used as part of the picture book to create a more personalized book.

[0426] Ultimately, the server outputs the customized picture book data in ebook format and sends it to the device. Users can view this ebook through an application, and can also use, share, and sell this data on other recording devices. The system ensures the security of information by exchanging data via a secure communication protocol.

[0427] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0428] Step 1:

[0429] Users launch a dedicated application on their device and enter keywords related to their child's interests and age information. They also upload image data, such as photos of their child, as needed. This collects the basic data necessary for generating personalized picture books for children. The information entered by the user is temporarily stored within the application and prepared for transmission to the server.

[0430] Step 2:

[0431] The terminal organizes the data collected from the user and sends it to the server. This transmission is performed using a secure protocol to ensure the safety and integrity of the data. The input data includes interest information, age information, and image data. The terminal compiles and packages this data and sends it in a format that the server can easily process.

[0432] Step 3:

[0433] The server analyzes the data received from the terminal and uses a generative AI model to generate a story based on the prompt. Specifically, if it receives the prompt "A story about animals going on an adventure," the server dynamically constructs a story in which the animals go on various adventures. This data processing uses an algorithm in which the AI ​​logically forms a story framework based on the user's input information.

[0434] Step 4:

[0435] The server incorporates user-provided image data into the generated story. This process utilizes a placement algorithm to ensure that the images are seamlessly integrated into the generated narrative. As a result, the story is customized to reflect the individuality of the child.

[0436] Step 5:

[0437] The server converts the completed, customized story into ebook format data. This conversion makes the data a standard format viewable on terminals and various digital devices. The server then prepares to send the generated ebook data back to the terminal.

[0438] Step 6:

[0439] The device receives ebook data sent from the server and provides it to the user. This data can be viewed through a dedicated application. Furthermore, users can display the generated picture books on other devices, share them with others via a sharing platform, or even sell them.

[0440] (Application Example 1)

[0441] 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."

[0442] In today's world, providing children with the optimal storytelling experience tailored to their individual interests and ages is challenging. Existing picture books often contain uniform content, making it difficult to capture their interest. Furthermore, there is a need to create an environment where generated stories can be visually enjoyed on various devices. Therefore, providing personalized education and entertainment presents a significant challenge.

[0443] 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.

[0444] In this invention, the server includes a device that receives information about a child's interests as input, a device that generates a story based on the interest information, and a device that combines image information with the generated story to personalize it. This makes it possible to provide a personalized story experience tailored to a child's interests and age as ebook data, which can then be displayed on a mobile device.

[0445] "Interest information" refers to data about a child's interests and preferences, obtained through user input.

[0446] "Story generation" is a process that automatically creates personalized stories based on interest information and age information.

[0447] "Image information" refers to visual data such as photos and drawings provided by users, and is used to personalize the narrative.

[0448] "Individualization" is the process of transforming a generated story into unique content by reflecting the child's characteristics and interests.

[0449] "E-book data" refers to digital data containing the generated story and associated images, in a format that can be viewed on a variety of devices.

[0450] A "mobile device" refers to a portable electronic device such as a smartphone or tablet.

[0451] An "information processing device" is a component of a device or system that generates and outputs a story based on input data.

[0452] "Transfer or supply" refers to the process of transmitting generated digital data to other devices or platforms.

[0453] A system for realizing an embodiment of this invention includes a server, a user terminal, and a mobile device. The server is a computer with advanced data processing capabilities and is equipped with a story generation engine that utilizes a generative AI model. The server has the function of generating stories based on children's interest information and age information, and combining them with image information to create personalized e-book data. This e-book data is output in a format that can be viewed on various mobile devices.

[0454] The user terminal is an information input device such as a smartphone, tablet, or personal computer. The user uses the terminal to input information about the child's interests and age, and adds image data such as photos and diagrams as needed. This information is transmitted from the terminal to the server via the internet.

[0455] On the server, a generative AI model dynamically generates stories using prompts. For example, if a user inputs "animals" and "adventure" as interests for a 3-year-old child, the server prompts the model with "Generate a story about 'animals' and 'adventure' that a 3-year-old child would be interested in. Use simple language and create a story about friends working together to find treasure," and automatically generates an appropriate story.

[0456] The generated stories are then combined with image information to personalize them, reflecting each child's individual characteristics. The final personalized ebook data is returned to the user's device in a format viewable on various mobile devices, allowing parents and children to enjoy it together. For example, a story about animals going on a treasure hunt can incorporate a child's photo as a character. This system provides children with engaging learning and entertainment.

[0457] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0458] Step 1:

[0459] The user launches the application using their device and enters information about their child's interests and age. The device collects the information entered by the user, including any image data (photos, illustrations, etc.) if available. The entered data is then compiled into data packets for transmission to the server.

[0460] Step 2:

[0461] The server receives data packets sent from the terminal. The server analyzes this data and extracts interest information and age information. This analysis includes converting the information into a standardized format for the database. This provides the basic data needed to generate the prompt sentences required for story generation.

[0462] Step 3:

[0463] The server uses a generative AI model to generate prompt sentences. For example, it might create a sentence like, "Generate a story about 'animals' and 'adventure' that a 3-year-old child would be interested in." The server inputs this prompt sentence into the generative AI model, which then generates a story that matches the specified theme and difficulty level.

[0464] Step 4:

[0465] The server combines the generated story with image data. The images are either inserted at specified locations or processed to appear as characters within the story. At this stage, image processing libraries are used to adjust the size and position of the images.

[0466] Step 5:

[0467] The server creates individualized ebook data. The generated story and images are integrated into data that is then converted into an electronic publishing format. This creates a format that can be viewed on a variety of mobile devices.

[0468] Step 6:

[0469] The server finally sends the completed ebook data to the device. The device receives it and prepares it for display to the user. This allows the user to view the generated original picture book on their device.

[0470] 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.

[0471] This invention combines an emotion engine, which recognizes the user's emotions and dynamically adjusts the story based on them, as part of a system for generating original picture books for children. The system provides customized stories that are tailored to the user's emotions, the child's age, and their interests.

[0472] Specifically, the user launches an application on their device and inputs photos of their child, information about their interests, and their age. The user's camera-equipped device captures their facial expressions in real time, and an emotion engine analyzes those expressions to determine their emotions.

[0473] The server processes the information received from the terminal and uses facial recognition to recognize the user's emotions. The emotion engine adjusts the theme of the generated story and the behavior of the characters based on the recognized emotions. This adjustment ensures that the story content is in line with the user's psychological state.

[0474] Furthermore, the generated stories incorporate user emotional data; for example, if the user is smiling, the number of humorous episodes increases. The server incorporates the child's image data provided by the user, in addition to the story content, and customizes each story individually. Finally, the customized picture book data is output as an ebook.

[0475] For example, if a user shows a slightly anxious expression, the emotion engine will pick up on it, and the server will generate a reassuring story or ending. For instance, it might add a scene where an animal safely returns home after its adventure. This system allows users to provide the best possible experience for children and helps strengthen the parent-child bond.

[0476] The following describes the processing flow.

[0477] Step 1:

[0478] The user launches an application on their device. They input information about the child's interests, age, and a photo of the child, and follow the application's instructions to capture the child's face using the device's camera and obtain emotional data in real time.

[0479] Step 2:

[0480] The device transmits interest information, age information, image data, and emotion data inferred from the user's face to a server via the network.

[0481] Step 3:

[0482] The server analyzes the information it receives. In particular, it uses an emotion engine to analyze the user's emotional data and reflects that emotion in the tone and content of the story. For example, if the emotion is "joy," it adds bright and humorous story elements.

[0483] Step 4:

[0484] The server utilizes story generation AI to dynamically generate appropriate story structures by combining interest and age information obtained from users. The generated stories are then adjusted based on emotional data.

[0485] Step 5:

[0486] The server combines user-provided image data with generated stories, customizing them individually. User photos and drawings are integrated as characters and backgrounds in the story.

[0487] Step 6:

[0488] The server formats the completed, customized picture book data as an ebook and sends it to the device.

[0489] Step 7:

[0490] Users view picture book data on their devices. By adjusting the story according to emotions, it becomes possible to provide read-aloud experiences that are tailored to the user's psychological state. If necessary, users can choose to share the data with other devices or sell it on the platform.

[0491] (Example 2)

[0492] 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."

[0493] Conventional children's picture book generation systems have problems with dynamically adjusting stories to take into account the user's emotional state, resulting in insufficient personalization and an inability to provide an experience optimized for the user or child. Furthermore, they cannot make real-time adjustments based on the child's attributes and interests entered by the user, making it difficult to provide an immersive and consistent story.

[0494] 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.

[0495] In this invention, the server includes means for acquiring user facial expression data in real time and analyzing emotions, means for dynamically adjusting the content of the story based on the emotion analysis results, and means for combining image information with the generated story to personalize it. This makes it possible to generate dynamic and personalized stories that respond to the user's emotions.

[0496] "Child attribute information" is a general term for data indicating a child's age, interests, preferences, etc., and is the information that forms the basis for generating personalized content.

[0497] "User emotional information" refers to information indicating the user's psychological state, analyzed based on their facial expressions and reactions, and is used to dynamically adjust the story.

[0498] "Means of generating a story" refers to a process or device for creating a story that includes appropriate themes and characters based on input attribute and emotional information.

[0499] "User facial expression data" refers to image data acquired in real time from the user's face, and it serves as fundamental information for analyzing their emotional state.

[0500] "Means of analyzing emotions" refers to technologies or processes that analyze a user's facial expression data to identify emotional states such as smiles or anxiety.

[0501] "Means of dynamically adjusting the content of a story" refers to a method or system for changing the theme and development of a generated story in real time according to the user's emotional state.

[0502] "Methods for combining and personalizing image information" refers to techniques for appropriately arranging children's photos and illustrations within a generated story to create personalized content.

[0503] "Personalized reading materials" refer to reading content that is customized to reflect the user's and child's attribute information and emotional information, and specifically, materials output in e-book format.

[0504] This invention realizes a children's picture book generation system that allows for dynamic customization that takes into account the user's emotional state.

[0505] The user first launches an application installed on the device. This application provides an interface for the user to input the child's attribute information, such as age, interests, and preferences. The device's camera has the function of capturing the user's facial expressions in real time. The facial expression data acquired in real time is sent from the device to the server.

[0506] The server uses facial recognition technology to analyze emotions based on the received facial expression data. This process allows for detailed identification of the user's emotional state. For example, emotions such as smiling, surprise, and anxiety are analyzed. The analysis results are then used to dynamically adjust the story. The server leverages a generative AI model and uses prompts to adjust the narrative. These prompts reflect the user's emotional state and include instructions to change the story's theme or character behavior.

[0507] After story adjustments are complete, the server integrates the child images entered by the user into the generated story. This integration is performed using image processing technology, adjusting the placement and size so that the child's image appears naturally on each page of the story. Finally, the customized picture book is generated in ebook format and output to the device. This ebook is in PDF or ePub format, making it easily viewable by the user.

[0508] As a concrete example, if a user displays an anxious expression on their device, the server sends a prompt message to the AI ​​model stating, "Generate a reassuring story." For instance, the prompt might read, "The child is interested in dinosaurs. Please include reassuring elements in the story." This process ensures that the generated picture book is tailored to the psychological state of both the user and the child, providing a more personalized experience. This results in a special picture book that parents and children can enjoy together.

[0509] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0510] Step 1:

[0511] The user launches the picture book generation application on their device and enters the child's attribute information (age, interests, preferences). This attribute information becomes input data and is sent to the server as basic information for generating a story suitable for the child.

[0512] Step 2:

[0513] The camera equipped on the device captures the user's face in real time and acquires facial expression data. Specifically, the camera continuously photographs the user's facial expressions and sends the image data to the server. The output is facial expression data that reflects the user's emotional state.

[0514] Step 3:

[0515] The server receives facial expression data and analyzes the user's emotions using an emotion recognition algorithm. Using facial expression data as input, it outputs emotion labels such as smiles and surprises. Specifically, an image recognition API analyzes the type of emotion and its degree of certainty.

[0516] Step 4:

[0517] The server dynamically generates a story using prompt sentences in a generative AI model based on the emotion analysis results and the child's attribute information. The input consists of emotion labels and attribute information, and prompt sentences constructed based on this information are sent to the generative AI model. The output is a dynamically adjusted story content.

[0518] Step 5:

[0519] The server incorporates images of children into the generated story. Specifically, it uses image processing techniques to adjust the placement and size of the images, integrating them naturally into the story. The output is personalized reading material with the images incorporated.

[0520] Step 6:

[0521] The server generates personalized reading materials in ebook format and outputs them to the device. The input consists of story content and image information, which are converted to PDF or ePub format and provided to the user. The output is a digital ebook that the user can view.

[0522] (Application Example 2)

[0523] 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."

[0524] While conventional picture book generation systems allow for some customization based on children's interests and age, they struggle to dynamically adjust the story content in real time in response to user emotions. Furthermore, they are unable to provide appropriate stories based on the user's psychological state, which hinders the improvement of the quality of the parent-child experience.

[0525] 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.

[0526] In this invention, the server includes means for receiving signals that recognize the user's emotions, means for dynamically adjusting the story's theme and character actions based on the emotions, and means for combining image data with the adjusted story to personalize it. This enables advanced customization in response to the user's emotions, making it possible to provide a richer and more personalized parent-child experience.

[0527] "User emotion" refers to the psychological or emotional state that the system estimates using the user's facial expression data and other input signals.

[0528] The "theme of the story" refers to the main topic or motif of the narrative being created, and it is what directs the story's progression.

[0529] "Character actions" refer to the actions and reactions of characters in a story, and contribute to the progression of the narrative and the expression of its themes.

[0530] A "tailored story" refers to a narrative that is dynamically modified based on the user's emotions and customization requirements.

[0531] "Image data" refers to digital information that includes visual elements and is used for the visual representation of a story.

[0532] "Personalized eBook data" refers to eBook format data that is customized according to the user's emotions and input information.

[0533] In the system implementing this invention, a terminal such as a smartphone and a server are used to recognize the user's emotions and dynamically generate a picture book. Specifically, first, the terminal uses a camera module to capture the user's face in real time. Next, an emotion recognition API (for example, Microsoft Azure Face API) analyzes the facial expression data and estimates the user's emotions.

[0534] Based on this emotion data, the server generates prompt sentences according to a generative AI model (for example, OpenAI's GPT). The prompt sentences are in the format of, "A children's story for when the user's emotion is 'anxious': Describe a little rabbit returning to a safe place after an adventure." By inputting this prompt into the AI ​​model, a story that matches the user's psychological state is generated.

[0535] Furthermore, the system overlays user-provided image data of the child onto the generated story to personalize it. This personalized story is output to the device in ebook format and used for parent-child experiences. The generated content can also be shared or sold to other electronic devices at the user's request.

[0536] This allows the system to deliver stories optimized based on the user's emotions, supporting a richer experience and strengthening the parent-child bond.

[0537] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0538] Step 1:

[0539] The device uses its camera to capture the user's face. The input is real-time video data, and the output is facial image data. This data is used as material for emotion recognition.

[0540] Step 2:

[0541] The device calls an emotion recognition API (e.g., Microsoft Azure Face API) to analyze the facial image data obtained earlier. The input is the facial image data obtained in step 1, and the output is emotion data indicating the user's emotions. This emotion data is important information that shows the user's current psychological state.

[0542] Step 3:

[0543] Based on the emotion data obtained in step 2, the server generates a prompt sentence to input into the generative AI model. The input is emotion data, and the output is a prompt sentence. Specifically, it generates text such as, "A children's story for when the user's emotion is 'anxious': Describe a little rabbit returning to a safe place after an adventure."

[0544] Step 4:

[0545] The server generates a prompt message, which is then used to request a story generation AI model (e.g., OpenAI's GPT) to generate a story. The input is the prompt message generated in step 3, and the output is the generated story. In this step, the AI ​​model generates text based on the prompt.

[0546] Step 5:

[0547] The server integrates user-provided child image data into the generated story, personalizing it. The input is the generated story and child image data, and the output is personalized ebook data. This process allows for visual customization of the story.

[0548] Step 6:

[0549] The server outputs the completed ebook data to the terminal, which then displays it to the user. The input is individualized ebook data, and the output is an interactive ebook displayed on the screen. The user can view and experience this data through their own terminal.

[0550] 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.

[0551] 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.

[0552] 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.

[0553] [Fourth Embodiment]

[0554] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0555] 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.

[0556] 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).

[0557] 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.

[0558] 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.

[0559] 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).

[0560] 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.

[0561] 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.

[0562] 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.

[0563] 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.

[0564] 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.

[0565] 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.

[0566] 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".

[0567] This invention is a system for generating and customizing original picture books for children, and in particular, dynamically creates stories based on children's interests and age information. The system works by having the user's terminal input necessary information through an application, and the server then generates and customizes the story.

[0568] Specifically, the user launches an application on their device and inputs information about the child's interests, as well as image data such as photos. The user can also input age information to ensure the story content is at an appropriate difficulty level. The device then sends this information to the server.

[0569] The server analyzes the received information and uses story generation AI to dynamically generate appropriate stories. The generated stories are tailored to children's interests and have a complexity appropriate for their age. After the story is generated, the server incorporates image data received from the user and performs individual customization.

[0570] The completed picture book data is sent to the device in e-book format, allowing users to view the book within the app. This picture book data is in a format that allows it to be shared with other devices and displayed on projectors and televisions. Furthermore, the picture book data can be shared with other users and sold through the platform.

[0571] For example, when generating an adventure story for a 3-year-old child, if the user enters the keywords "animals" and "adventure," the server will generate an adventure story with animals as the main characters. Furthermore, if, for instance, a photo of the child smiling is uploaded, that photo will be incorporated into the picture book, appearing as a companion to the main animal character, thus providing customization according to the user's intentions. This system can support creative activities between parents and children and promote children's learning and growth.

[0572] The following describes the processing flow.

[0573] Step 1:

[0574] The user launches the application on their device. The user enters information about the child's interests and age, and uploads image data of the child's photos or drawings as needed.

[0575] Step 2:

[0576] The device receives user input and transmits it to the server in real time. The data transmitted includes interest information, age information, and image data.

[0577] Step 3:

[0578] The server analyzes the received data. The server analyzes interest information and age information and searches the database for suitable story patterns.

[0579] Step 4:

[0580] The server uses a story generation AI to dynamically generate story content from searched story patterns. During generation, it determines the theme based on interest information and adjusts the difficulty level according to age.

[0581] Step 5:

[0582] The server incorporates user-provided image data into the generated story, allowing for customization. For example, a child's photo could be used as part of a character or background within the story.

[0583] Step 6:

[0584] The server converts the customized picture book data into an ebook format and a format compatible with display on other devices.

[0585] Step 7:

[0586] The server sends the completed picture book data to the device. The user can then open the picture book in the application and experience the story interactively.

[0587] Step 8:

[0588] Users can choose to display the generated picture books on other devices, or share or sell them on the platform, as needed.

[0589] (Example 1)

[0590] 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".

[0591] Children's picture books typically rely on general themes and stories, and do not cater to the individual interests or ages of children. Furthermore, existing picture book production often relies on specific stories and target characters, making it difficult to provide personalized narratives. Additionally, format conversion can be cumbersome when sharing or selling picture books. Addressing these issues is crucial.

[0592] 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.

[0593] In this invention, the server includes means for receiving information about a child's interests and age as input, means for generating a story using a generation AI model based on prompt statements, and means for customizing the generated story by combining it with image information provided by the user. This enables the dynamic generation of personalized picture books that correspond to a child's interests and age, and allows for customization to meet individual needs. Furthermore, a function is provided to convert the customized picture book data into a data format for sharing or selling to other recording devices, thereby expanding the range of uses for the picture books.

[0594] "Children's interest information" refers to information about specific themes and topics that children are interested in, and it serves as the basis for generating stories.

[0595] "Age information" refers to information indicating a child's age, and is used to adjust the difficulty level and content of the generated story.

[0596] A "prompt" is a set of keywords or phrases input into a generative AI model, used to determine the subject matter and direction of a story during its generation process.

[0597] A "generative AI model" is a machine learning algorithm or model that automatically generates a story based on the input prompt text.

[0598] "Customization" is the process of adapting user-provided image information to a generated story, adjusting the narrative according to individual needs and preferences.

[0599] An "eBook format" is a file format used to output and save picture book data in a format viewable on digital devices, and is used to enhance convenience and compatibility.

[0600] A "recording device" is a device used to store, display, and share digital data, and is a general term for equipment including computers, tablets, projectors, and televisions.

[0601] This invention is a system that generates and customizes original picture books based on the child's interests and age information provided by the user. The system utilizes a user's terminal, a server, and a story generation AI model. The user inputs and manages information through a dedicated application installed on the terminal.

[0602] The user enters keywords related to the child's interests (e.g., "animals," "adventure") and information about the child's age into the device. Image data of the child can also be provided if necessary. This information is sent from the device to the server. The server receives the information and generates a story using a generative AI model. This generative AI model dynamically constructs the story's theme and content based on the prompt text.

[0603] For example, if you enter the prompt "A story about animals going on an adventure," the server will automatically generate a story in which animals explore a new place and overcome various difficulties. The generated story can be customized by integrating image data. If the user has sent in a photo of their child, it can be used as part of the picture book to create a more personalized book.

[0604] Ultimately, the server outputs the customized picture book data in ebook format and sends it to the device. Users can view this ebook through an application, and can also use, share, and sell this data on other recording devices. The system ensures the security of information by exchanging data via a secure communication protocol.

[0605] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0606] Step 1:

[0607] Users launch a dedicated application on their device and enter keywords related to their child's interests and age information. They also upload image data, such as photos of their child, as needed. This collects the basic data necessary for generating personalized picture books for children. The information entered by the user is temporarily stored within the application and prepared for transmission to the server.

[0608] Step 2:

[0609] The terminal organizes the data collected from the user and sends it to the server. This transmission is performed using a secure protocol to ensure the safety and integrity of the data. The input data includes interest information, age information, and image data. The terminal compiles and packages this data and sends it in a format that the server can easily process.

[0610] Step 3:

[0611] The server analyzes the data received from the terminal and uses a generative AI model to generate a story based on the prompt. Specifically, if it receives the prompt "A story about animals going on an adventure," the server dynamically constructs a story in which the animals go on various adventures. This data processing uses an algorithm in which the AI ​​logically forms a story framework based on the user's input information.

[0612] Step 4:

[0613] The server incorporates user-provided image data into the generated story. This process utilizes a placement algorithm to ensure that the images are seamlessly integrated into the generated narrative. As a result, the story is customized to reflect the individuality of the child.

[0614] Step 5:

[0615] The server converts the completed, customized story into ebook format data. This conversion makes the data a standard format viewable on terminals and various digital devices. The server then prepares to send the generated ebook data back to the terminal.

[0616] Step 6:

[0617] The device receives ebook data sent from the server and provides it to the user. This data can be viewed through a dedicated application. Furthermore, users can display the generated picture books on other devices, share them with others via a sharing platform, or even sell them.

[0618] (Application Example 1)

[0619] 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".

[0620] In today's world, providing children with the optimal storytelling experience tailored to their individual interests and ages is challenging. Existing picture books often contain uniform content, making it difficult to capture their interest. Furthermore, there is a need to create an environment where generated stories can be visually enjoyed on various devices. Therefore, providing personalized education and entertainment presents a significant challenge.

[0621] 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.

[0622] In this invention, the server includes a device that receives information about a child's interests as input, a device that generates a story based on the interest information, and a device that combines image information with the generated story to personalize it. This makes it possible to provide a personalized story experience tailored to a child's interests and age as ebook data, which can then be displayed on a mobile device.

[0623] "Interest information" refers to data about a child's interests and preferences, obtained through user input.

[0624] "Story generation" is a process that automatically creates personalized stories based on interest information and age information.

[0625] "Image information" refers to visual data such as photos and drawings provided by users, and is used to personalize the narrative.

[0626] "Individualization" is the process of transforming a generated story into unique content by reflecting the child's characteristics and interests.

[0627] "E-book data" refers to digital data containing the generated story and associated images, in a format that can be viewed on a variety of devices.

[0628] A "mobile device" refers to a portable electronic device such as a smartphone or tablet.

[0629] An "information processing device" is a component of a device or system that generates and outputs a story based on input data.

[0630] "Transfer or supply" refers to the process of transmitting generated digital data to other devices or platforms.

[0631] A system for realizing an embodiment of this invention includes a server, a user terminal, and a mobile device. The server is a computer with advanced data processing capabilities and is equipped with a story generation engine that utilizes a generative AI model. The server has the function of generating stories based on children's interest information and age information, and combining them with image information to create personalized e-book data. This e-book data is output in a format that can be viewed on various mobile devices.

[0632] The user terminal is an information input device such as a smartphone, tablet, or personal computer. The user uses the terminal to input information about the child's interests and age, and adds image data such as photos and diagrams as needed. This information is transmitted from the terminal to the server via the internet.

[0633] On the server, a generative AI model dynamically generates stories using prompts. For example, if a user inputs "animals" and "adventure" as interests for a 3-year-old child, the server prompts the model with "Generate a story about 'animals' and 'adventure' that a 3-year-old child would be interested in. Use simple language and create a story about friends working together to find treasure," and automatically generates an appropriate story.

[0634] The generated stories are then combined with image information to personalize them, reflecting each child's individual characteristics. The final personalized ebook data is returned to the user's device in a format viewable on various mobile devices, allowing parents and children to enjoy it together. For example, a story about animals going on a treasure hunt can incorporate a child's photo as a character. This system provides children with engaging learning and entertainment.

[0635] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0636] Step 1:

[0637] The user launches the application using their device and enters information about their child's interests and age. The device collects the information entered by the user, including any image data (photos, illustrations, etc.) if available. The entered data is then compiled into data packets for transmission to the server.

[0638] Step 2:

[0639] The server receives data packets sent from the terminal. The server analyzes this data and extracts interest information and age information. This analysis includes converting the information into a standardized format for the database. This provides the basic data needed to generate the prompt sentences required for story generation.

[0640] Step 3:

[0641] The server uses a generative AI model to generate prompt sentences. For example, it might create a sentence like, "Generate a story about 'animals' and 'adventure' that a 3-year-old child would be interested in." The server inputs this prompt sentence into the generative AI model, which then generates a story that matches the specified theme and difficulty level.

[0642] Step 4:

[0643] The server combines the generated story with image data. The images are either inserted at specified locations or processed to appear as characters within the story. At this stage, image processing libraries are used to adjust the size and position of the images.

[0644] Step 5:

[0645] The server creates individualized ebook data. The generated story and images are integrated into data that is then converted into an electronic publishing format. This creates a format that can be viewed on a variety of mobile devices.

[0646] Step 6:

[0647] The server finally sends the completed ebook data to the device. The device receives it and prepares it for display to the user. This allows the user to view the generated original picture book on their device.

[0648] 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.

[0649] This invention combines an emotion engine, which recognizes the user's emotions and dynamically adjusts the story based on them, as part of a system for generating original picture books for children. The system provides customized stories that are tailored to the user's emotions, the child's age, and their interests.

[0650] Specifically, the user launches an application on their device and inputs photos of their child, information about their interests, and their age. The user's camera-equipped device captures their facial expressions in real time, and an emotion engine analyzes those expressions to determine their emotions.

[0651] The server processes the information received from the terminal and uses facial recognition to recognize the user's emotions. The emotion engine adjusts the theme of the generated story and the behavior of the characters based on the recognized emotions. This adjustment ensures that the story content is in line with the user's psychological state.

[0652] Furthermore, the generated stories incorporate user emotional data; for example, if the user is smiling, the number of humorous episodes increases. The server incorporates the child's image data provided by the user, in addition to the story content, and customizes each story individually. Finally, the customized picture book data is output as an ebook.

[0653] For example, if a user shows a slightly anxious expression, the emotion engine will pick up on it, and the server will generate a reassuring story or ending. For instance, it might add a scene where an animal safely returns home after its adventure. This system allows users to provide the best possible experience for children and helps strengthen the parent-child bond.

[0654] The following describes the processing flow.

[0655] Step 1:

[0656] The user launches an application on their device. They input information about the child's interests, age, and a photo of the child, and follow the application's instructions to capture the child's face using the device's camera and obtain emotional data in real time.

[0657] Step 2:

[0658] The device transmits interest information, age information, image data, and emotion data inferred from the user's face to a server via the network.

[0659] Step 3:

[0660] The server analyzes the information it receives. In particular, it uses an emotion engine to analyze the user's emotional data and reflects that emotion in the tone and content of the story. For example, if the emotion is "joy," it adds bright and humorous story elements.

[0661] Step 4:

[0662] The server utilizes story generation AI to dynamically generate appropriate story structures by combining interest and age information obtained from users. The generated stories are then adjusted based on emotional data.

[0663] Step 5:

[0664] The server combines user-provided image data with generated stories, customizing them individually. User photos and drawings are integrated as characters and backgrounds in the story.

[0665] Step 6:

[0666] The server formats the completed, customized picture book data as an ebook and sends it to the device.

[0667] Step 7:

[0668] Users view picture book data on their devices. By adjusting the story according to emotions, it becomes possible to provide read-aloud experiences that are tailored to the user's psychological state. If necessary, users can choose to share the data with other devices or sell it on the platform.

[0669] (Example 2)

[0670] 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".

[0671] Conventional children's picture book generation systems have problems with dynamically adjusting stories to take into account the user's emotional state, resulting in insufficient personalization and an inability to provide an experience optimized for the user or child. Furthermore, they cannot make real-time adjustments based on the child's attributes and interests entered by the user, making it difficult to provide an immersive and consistent story.

[0672] 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.

[0673] In this invention, the server includes means for acquiring user facial expression data in real time and analyzing emotions, means for dynamically adjusting the content of the story based on the emotion analysis results, and means for combining image information with the generated story to personalize it. This makes it possible to generate dynamic and personalized stories that respond to the user's emotions.

[0674] "Child attribute information" is a general term for data indicating a child's age, interests, preferences, etc., and is the information that forms the basis for generating personalized content.

[0675] "User emotional information" refers to information indicating the user's psychological state, analyzed based on their facial expressions and reactions, and is used to dynamically adjust the story.

[0676] "Means of generating a story" refers to a process or device for creating a story that includes appropriate themes and characters based on input attribute and emotional information.

[0677] "User facial expression data" refers to image data acquired in real time from the user's face, and it serves as fundamental information for analyzing their emotional state.

[0678] "Means of analyzing emotions" refers to technologies or processes that analyze a user's facial expression data to identify emotional states such as smiles or anxiety.

[0679] "Means of dynamically adjusting the content of a story" refers to a method or system for changing the theme and development of a generated story in real time according to the user's emotional state.

[0680] "Methods for combining and personalizing image information" refers to techniques for appropriately arranging children's photos and illustrations within a generated story to create personalized content.

[0681] "Personalized reading materials" refer to reading content that is customized to reflect the user's and child's attribute information and emotional information, and specifically, materials output in e-book format.

[0682] This invention realizes a children's picture book generation system that allows for dynamic customization that takes into account the user's emotional state.

[0683] The user first launches an application installed on the device. This application provides an interface for the user to input the child's attribute information, such as age, interests, and preferences. The device's camera has the function of capturing the user's facial expressions in real time. The facial expression data acquired in real time is sent from the device to the server.

[0684] The server uses facial recognition technology to analyze emotions based on the received facial expression data. This process allows for detailed identification of the user's emotional state. For example, emotions such as smiling, surprise, and anxiety are analyzed. The analysis results are then used to dynamically adjust the story. The server leverages a generative AI model and uses prompts to adjust the narrative. These prompts reflect the user's emotional state and include instructions to change the story's theme or character behavior.

[0685] After story adjustments are complete, the server integrates the child images entered by the user into the generated story. This integration is performed using image processing technology, adjusting the placement and size so that the child's image appears naturally on each page of the story. Finally, the customized picture book is generated in ebook format and output to the device. This ebook is in PDF or ePub format, making it easily viewable by the user.

[0686] As a concrete example, if a user displays an anxious expression on their device, the server sends a prompt message to the AI ​​model stating, "Generate a reassuring story." For instance, the prompt might read, "The child is interested in dinosaurs. Please include reassuring elements in the story." This process ensures that the generated picture book is tailored to the psychological state of both the user and the child, providing a more personalized experience. This results in a special picture book that parents and children can enjoy together.

[0687] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0688] Step 1:

[0689] The user launches the picture book generation application on their device and enters the child's attribute information (age, interests, preferences). This attribute information becomes input data and is sent to the server as basic information for generating a story suitable for the child.

[0690] Step 2:

[0691] The camera equipped on the device captures the user's face in real time and acquires facial expression data. Specifically, the camera continuously photographs the user's facial expressions and sends the image data to the server. The output is facial expression data that reflects the user's emotional state.

[0692] Step 3:

[0693] The server receives facial expression data and analyzes the user's emotions using an emotion recognition algorithm. Using facial expression data as input, it outputs emotion labels such as smiles and surprises. Specifically, an image recognition API analyzes the type of emotion and its degree of certainty.

[0694] Step 4:

[0695] The server dynamically generates a story using prompt sentences in a generative AI model based on the emotion analysis results and the child's attribute information. The input consists of emotion labels and attribute information, and prompt sentences constructed based on this information are sent to the generative AI model. The output is a dynamically adjusted story content.

[0696] Step 5:

[0697] The server incorporates images of children into the generated story. Specifically, it uses image processing techniques to adjust the placement and size of the images, integrating them naturally into the story. The output is personalized reading material with the images incorporated.

[0698] Step 6:

[0699] The server generates personalized reading materials in ebook format and outputs them to the device. The input consists of story content and image information, which are converted to PDF or ePub format and provided to the user. The output is a digital ebook that the user can view.

[0700] (Application Example 2)

[0701] 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".

[0702] While conventional picture book generation systems allow for some customization based on children's interests and age, they struggle to dynamically adjust the story content in real time in response to user emotions. Furthermore, they are unable to provide appropriate stories based on the user's psychological state, which hinders the improvement of the quality of the parent-child experience.

[0703] 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.

[0704] In this invention, the server includes means for receiving signals that recognize the user's emotions, means for dynamically adjusting the story's theme and character actions based on the emotions, and means for combining image data with the adjusted story to personalize it. This enables advanced customization in response to the user's emotions, making it possible to provide a richer and more personalized parent-child experience.

[0705] "User emotion" refers to the psychological or emotional state that the system estimates using the user's facial expression data and other input signals.

[0706] The "theme of the story" refers to the main topic or motif of the narrative being created, and it is what directs the story's progression.

[0707] "Character actions" refer to the actions and reactions of characters in a story, and contribute to the progression of the narrative and the expression of its themes.

[0708] A "tailored story" refers to a narrative that is dynamically modified based on the user's emotions and customization requirements.

[0709] "Image data" refers to digital information that includes visual elements and is used for the visual representation of a story.

[0710] "Personalized eBook data" refers to eBook format data that is customized according to the user's emotions and input information.

[0711] In the system implementing this invention, a terminal such as a smartphone and a server are used to recognize the user's emotions and dynamically generate a picture book. Specifically, first, the terminal uses a camera module to capture the user's face in real time. Next, an emotion recognition API (for example, Microsoft Azure Face API) analyzes the facial expression data and estimates the user's emotions.

[0712] Based on this emotion data, the server generates prompt sentences according to a generative AI model (for example, OpenAI's GPT). The prompt sentences are in the format of, "A children's story for when the user's emotion is 'anxious': Describe a little rabbit returning to a safe place after an adventure." By inputting this prompt into the AI ​​model, a story that matches the user's psychological state is generated.

[0713] Furthermore, the system overlays user-provided image data of the child onto the generated story to personalize it. This personalized story is output to the device in ebook format and used for parent-child experiences. The generated content can also be shared or sold to other electronic devices at the user's request.

[0714] This allows the system to deliver stories optimized based on the user's emotions, supporting a richer experience and strengthening the parent-child bond.

[0715] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0716] Step 1:

[0717] The device uses its camera to capture the user's face. The input is real-time video data, and the output is facial image data. This data is used as material for emotion recognition.

[0718] Step 2:

[0719] The device calls an emotion recognition API (e.g., Microsoft Azure Face API) to analyze the facial image data obtained earlier. The input is the facial image data obtained in step 1, and the output is emotion data indicating the user's emotions. This emotion data is important information that shows the user's current psychological state.

[0720] Step 3:

[0721] Based on the emotion data obtained in step 2, the server generates a prompt sentence to input into the generative AI model. The input is emotion data, and the output is a prompt sentence. Specifically, it generates text such as, "A children's story for when the user's emotion is 'anxious': Describe a little rabbit returning to a safe place after an adventure."

[0722] Step 4:

[0723] The server generates a prompt message, which is then used to request a story generation AI model (e.g., OpenAI's GPT) to generate a story. The input is the prompt message generated in step 3, and the output is the generated story. In this step, the AI ​​model generates text based on the prompt.

[0724] Step 5:

[0725] The server integrates user-provided child image data into the generated story, personalizing it. The input is the generated story and child image data, and the output is personalized ebook data. This process allows for visual customization of the story.

[0726] Step 6:

[0727] The server outputs the completed ebook data to the terminal, which then displays it to the user. The input is individualized ebook data, and the output is an interactive ebook displayed on the screen. The user can view and experience this data through their own terminal.

[0728] 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.

[0729] 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.

[0730] 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.

[0731] 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.

[0732] 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.

[0733] 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.

[0734] 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.

[0735] 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.

[0736] 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."

[0737] 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.

[0738] 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.

[0739] 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.

[0740] 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.

[0741] 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.

[0742] 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.

[0743] 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.

[0744] 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.

[0745] 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.

[0746] 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.

[0747] 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.

[0748] 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.

[0749] The following is further disclosed regarding the embodiments described above.

[0750] (Claim 1)

[0751] A means of receiving information about children's interests as input,

[0752] A means for generating a story based on the aforementioned interest information,

[0753] A means of customizing the generated story by combining it with image information,

[0754] A means of outputting customized picture book data,

[0755] A system that includes this.

[0756] (Claim 2)

[0757] The system according to claim 1, further comprising means for adjusting the difficulty level of stories generated based on the child's age information.

[0758] (Claim 3)

[0759] The system according to claim 1, further comprising means for converting customized picture book data into data for sharing or selling to other devices.

[0760] "Example 1"

[0761] (Claim 1)

[0762] A means of receiving information about children's interests and age as input,

[0763] A means for generating a story using a generation AI model with prompt sentences based on the aforementioned interest information and age information,

[0764] A means of customizing the generated story by combining it with image information provided by the user,

[0765] A method for outputting customized picture book data in ebook format,

[0766] A system that includes this.

[0767] (Claim 2)

[0768] The system according to claim 1, further comprising means for adjusting the difficulty level of a story based on age information.

[0769] (Claim 3)

[0770] The system according to claim 1, further comprising means for converting customized picture book data into a data format for sharing or selling to other recording devices.

[0771] "Application Example 1"

[0772] (Claim 1)

[0773] A device that receives information about a child's interests as input,

[0774] A device that generates a story based on the aforementioned interest information,

[0775] A device that combines image information with generated stories to personalize them,

[0776] A device that outputs individualized e-book data,

[0777] A device for making the individualized e-book data displayable on a mobile device,

[0778] Information processing device including

[0779] (Claim 2)

[0780] The information processing apparatus according to claim 1, further comprising a device for adjusting the difficulty level of a story generated based on the child's age information.

[0781] (Claim 3)

[0782] The information processing apparatus according to claim 1, further comprising a device for converting individualized e-book data into data for transfer or supply to other computing devices.

[0783] "Example 2 of combining an emotion engine"

[0784] (Claim 1)

[0785] A means of receiving child attribute information as input,

[0786] A means for generating a story based on the aforementioned attribute information and user sentiment information,

[0787] A method for acquiring user facial expression data in real time and analyzing emotions,

[0788] A means of dynamically adjusting the story content based on the results of emotional analysis,

[0789] A means of combining image information with the generated story to personalize it,

[0790] A means of outputting personalized reading materials in electronic format,

[0791] A system that includes this.

[0792] (Claim 2)

[0793] The system according to claim 1, further comprising means for adjusting the complexity of the story generated based on the child's age.

[0794] (Claim 3)

[0795] The system according to claim 1, further comprising means for converting individualized reading material into data for sharing or providing to other devices.

[0796] "Application example 2 when combining with an emotional engine"

[0797] (Claim 1)

[0798] A means of receiving signals that recognize the user's emotions,

[0799] A means for dynamically adjusting the story's theme and character actions based on the aforementioned emotions,

[0800] A method for personalizing a story by combining it with image data,

[0801] A means of outputting individualized e-book data,

[0802] A system that includes this.

[0803] (Claim 2)

[0804] The system according to claim 1, further comprising means for adjusting the complexity of the story generated based on the child's age information and for generating prompt sentences that correspond to the user's psychological state.

[0805] (Claim 3)

[0806] The system according to claim 1, further comprising means for converting personalized eBook data into a data format for sharing or selling to other electronic devices. [Explanation of symbols]

[0807] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of receiving information about children's interests as input, Means for generating a story based on the aforementioned interest information, A means of customizing the generated story by combining it with image information, A means of outputting customized picture book data, A system that includes this.

2. The system according to claim 1, further comprising means for adjusting the difficulty level of a story generated based on the child's age information.

3. The system according to claim 1, further comprising means for converting customized picture book data into data for sharing or selling to other devices.

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