system

Abstract

We provide the system. [Solution] A means for receiving book information via information transmission means through the user's terminal device and storing the said book information in a database, A means for summarizing the book content using content analysis means based on the aforementioned book information and generating the summary information, A means for setting a notification schedule for the aforementioned summary information according to the user's preferred delivery time and transmitting it to the user's terminal device via a communication network, 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, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, there is a problem that sufficient reading time cannot be ensured due to the busyness in work, study, and family. Also, the decline in concentration and motivation often hinders reading books. Under such circumstances, there is a demand for providing a means to enjoy reading more easily and efficiently.

Means for Solving the Problems

[0005] This invention provides a system that acquires book information via a user's terminal device, summarizes the book content using an automated summarization means such as a generation AI based on the acquired book information, and automatically provides the summarized information to the terminal device via a communication network according to the user's desired delivery time. This system allows users to easily enjoy reading in a limited time and makes it easier to maintain a reading habit.

[0006] "User's terminal device" refers to a communication-enabled electronic device that a user uses on a daily basis, such as a smartphone, tablet, or personal computer.

[0007] "Information transmission means" refers to a communication protocol or mechanism for receiving data from a user to a server, thereby providing book information to the server.

[0008] "Book information" refers to data about a specific book, including basic information about the book such as title, author name, and ISBN.

[0009] A "database" is a system for systematically collecting, storing, and managing information, and is used to accumulate book information and summary information.

[0010] "Content analysis means" refers to an algorithm or technology for analyzing the text data of a book and extracting important points.

[0011] "Summary information" refers to a short text that extracts and organizes the important points from the entire content of a book, designed to allow readers to complete the book within a limited time.

[0012] "Notification schedule" refers to a time plan for delivering summary information to users, and is set based on the user's preferences.

[0013] A "communication network" is the infrastructure used to send and receive data and information, and includes the internet and mobile phone networks. [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] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

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

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

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

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

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

[0020] 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 modern, busy users to efficiently enjoy reading, and consists of three components: a server, a terminal, and a user. Specific embodiments of this invention are as follows.

[0036] First, users register information about the books they want to read using a device such as a smartphone or tablet. At this time, the device transmits information such as the book's title and author to the server via an information transmission method. The server stores the received book information in a database. For this purpose, an internet-based communication network is used to ensure smooth data transmission.

[0037] Next, the server activates a content analysis system based on the book information and analyzes the book's text data. Using this analysis, the server automatically extracts key points using a generative AI and condenses them into a concise summary. This summary is designed for users to read in short bursts of free time and is typically about five minutes long.

[0038] Once the summary information is ready, the server sends a notification via messaging services such as LINE, based on the delivery schedule set by the user. The server uses the communication network to notify the user's device of the summary information at the specified time. This allows the user to check the notification immediately and easily start reading whenever they feel like it.

[0039] For example, if a user registers "Business Book A" and requests to be notified every morning at 8:00 AM, the server generates a summary of the book and sends the user the topic for the day via LINE at 8:00 AM. The user receives the notification and can check its contents, allowing them to efficiently enjoy reading during their commute or breaks.

[0040] This invention allows users to easily enjoy books they want to read at various times of day in their daily lives, maintaining a deep reading experience and forming a consistent reading habit even during busy periods.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user uses their device to enter information about the book they want to read and registers the book information. The device then sends this information to the server.

[0044] Step 2:

[0045] The server analyzes the received book information and stores it in a database. This book information includes the title, author name, ISBN, etc.

[0046] Step 3:

[0047] The server activates the content analysis mechanism and begins analyzing the text data based on the book information stored in the database.

[0048] Step 4:

[0049] The server uses a generation AI to extract key points from books and summarize them into short texts.

[0050] Step 5:

[0051] The server sets a notification schedule based on the user's preferred delivery time for summarized information.

[0052] Step 6:

[0053] At the designated delivery time, the server sends summary information to the device via the communication network. Messaging services such as LINE are used.

[0054] Step 7:

[0055] The device notifies the user of the received summary information and displays the content. The user can then check the notification and continue enjoying reading.

[0056] (Example 1)

[0057] 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."

[0058] For users leading busy modern lives, finding time to read is a challenge. Furthermore, there is a need to efficiently grasp only the key points from a large number of books. Additionally, there is a demand for timely information tailored to their individual lifestyles, but traditional methods have failed to meet this need.

[0059] 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.

[0060] In this invention, the server includes means for receiving book data via data transmission means through a user's information processing device and storing the book data in a storage device, means for summarizing the book content using data analysis means based on the book data and generating the summary data, and means for using prompt sentences when generating the summary using a generation AI model. This enables users to efficiently acquire important information and enjoy reading without time constraints.

[0061] A "user" is someone who uses the system to register book data and receive summary information.

[0062] An "information processing device" is a device, such as a smartphone or tablet, that users use to input and receive book data.

[0063] "Data transmission means" refers to the communication functions and protocols used to transmit book data.

[0064] "Book data" refers to data that includes information such as the book's title, author, and text.

[0065] A "storage device" is a device used to store data on a server, and includes databases, etc.

[0066] "Data analysis means" refers to analytical functions used to summarize book data.

[0067] "Summary data" refers to abbreviated information containing only the key points extracted from analyzed book data.

[0068] A "generative AI model" is an artificial intelligence model used to automatically generate summaries of book data.

[0069] A "prompt statement" is a phrase used to give specific instructions to a generative AI model.

[0070] A "communication system" is a network system used to send and receive data between a server and an information processing device.

[0071] The "schedule management method" is a function that plans and manages the transmission of summary data based on the user's desired transmission time.

[0072] This invention is a system designed to allow busy users to efficiently enjoy reading. This system primarily consists of a server, terminals (information processing devices such as smartphones and tablets), and users.

[0073] First, the user uses a terminal to input data about the book they want to read. This data includes the book title, author, and text. The terminal then sends this data to a server via the internet. The server receives the book data using a data transmission method and stores it in a database, which is a storage device.

[0074] Next, the server activates a data analysis tool based on the received book data. This generates a summary of the book's content. The server uses a generative AI model and prompts to extract key points. An example of a prompt is, "Please summarize the key points of this book. The summary should be short enough to read in 5 minutes." By providing this prompt to the generative AI model, a summary that can be read in a short time is generated.

[0075] The server uses a communication system to send summary data at a time set according to the user's preferences. The server uses this communication system to send the summary data to the user's device according to the user's set schedule. This allows users to enjoy reading during spare time, such as during their commute or breaks.

[0076] For example, if a user selects a business book and requests to receive summary data at 8 AM every morning, the server will send the summary data via a messaging service such as LINE at that time. This allows the user to efficiently obtain information during their morning commute.

[0077] In this way, this system provides an efficient and sustainable reading experience by delivering necessary information to users at the optimal time.

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

[0079] Step 1:

[0080] The user uses their device to input data about the book they want to read. Specifically, they input the book title, author, and text data via a dedicated app or web interface. The input data is sent to the server via the device's data transmission method. The input is the book data, and the output is the data sent to the server.

[0081] Step 2:

[0082] The server analyzes the book data received from the terminal. After verifying data integrity, it saves the book data to the database. The input here is the received book data, and the output is the saved database entry. Specifically, the server checks for data duplication and format consistency.

[0083] Step 3:

[0084] The server activates a data analysis tool based on the stored book data. The server passes the book text to a generating AI model and requests a summary using a prompt. The input is the book text data and the prompt, and the output is the summary data. Specifically, the prompt used is, "Please summarize the key points of this book. The summary should be short enough to be read in 5 minutes."

[0085] Step 4:

[0086] The server retrieves the generated summary data and sets a data transmission schedule based on the user-defined delivery schedule. The input consists of the summary data and the user's desired transmission time, while the output is the scheduled notification information. The specific operation involves formulating a transmission plan using a scheduling management mechanism.

[0087] Step 5:

[0088] The server sends summary data to the user's terminal via a communication system. When the designated transmission time arrives, the summary data is sent via messaging services such as LINE. The input is scheduled notification information, and the output is a summary notification received on the user's terminal. The user can then check the received notification and easily view its contents.

[0089] (Application Example 1)

[0090] 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."

[0091] In today's world, it is difficult for busy users to secure free time. In particular, many users lack sufficient time to read books and publications, leading to an increasing demand for efficient information acquisition. However, there is a lack of readily available means to easily access the content of books when needed, hindering the reading experience. Solving this problem is crucial to increasing user satisfaction and providing easily accessible and enriching knowledge experiences.

[0092] 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.

[0093] In this invention, the server includes means for receiving publication information via information transmission means through the user's computing device and storing the publication information in a storage device; means for summarizing the content of the publication using content analysis means based on the publication information and generating summary information; means for automatically extracting important points using a generation AI model when generating the summary information; and means for setting notification management according to the user's desired notification time and transmitting the summary information to the user's computing device via a communication network. This makes it possible for the user to efficiently grasp the content of publications without being constrained by time.

[0094] A "user's computing device" refers to an electronic device used personally by a user, which is hardware used for sending, receiving, and processing data.

[0095] "Information transmission means" refers to communication protocols and technologies used to send data and messages to other devices or servers.

[0096] "Publication information" is a general term for metadata and content information related to books, ebooks, magazines, and other publications.

[0097] "Storage device" refers to hardware and software used to permanently or temporarily store data and information.

[0098] "Content analysis tools" are algorithms and tools used to analyze text and data and extract important information and features from them.

[0099] "Summary information" refers to information that extracts and summarizes only the important points from a long text so that it can be understood in a short amount of time.

[0100] A "generative AI model" is an algorithm or framework that uses artificial intelligence to analyze data and generate new information according to a specific purpose.

[0101] "Notification management" is a function that manages the schedule for sending information in a timely manner based on the time period and conditions desired by the user.

[0102] A "communication network" refers to the infrastructure and technologies used to send and receive data between multiple devices.

[0103] This invention provides a system that allows users to efficiently understand the content of publications. Its main components include a server, a terminal, and a generative AI model.

[0104] The server first receives publication information via the user's computer and stores it in its storage device. During this process, information transmission means are utilized, and data is sent and received via communication networks such as the internet.

[0105] Next, the server activates a content analysis system to analyze the publication information in detail. During this process, a generative AI model is used to extract key points from the publication. The AI ​​model employs the latest natural language processing techniques and utilizes deep learning to generate highly accurate summaries.

[0106] This summary information is sent to the user's computer via notification management based on the user's pre-set preferred notification time. Notifications are provided in a format that is easily accessible to the user, utilizing messaging services such as LINE.

[0107] As a concrete example, consider a scenario where users register books covering the latest business topics and receive summary information during their morning commute. This allows users to quickly grasp important content and apply it to their daily work. In this case, the AI ​​model receives a prompt such as, "Summarize the following text: {text content}. Create a summary that can be read in approximately 5 minutes." The system then outputs an optimal summary.

[0108] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0109] Step 1:

[0110] The user uses their device to input information about the publication they wish to read. This information includes the book title and author's name, which is then transmitted from the device to the server via an information transmission device. Through this process, the device provides publication information to the server.

[0111] Step 2:

[0112] The server stores the publication information received from the terminal in its storage device. Based on this stored information, it prepares to activate the content analysis system. The input is publication information, which is organized in the database and used in subsequent analysis steps.

[0113] Step 3:

[0114] The server activates a content analysis tool using stored publication information to analyze the text data. It utilizes a generative AI model to automatically extract key points. The prompt "Summarize the following text: {text content}. Create a summary that can be read in approximately 5 minutes." is input to the AI, generating the summary information. In this process, the input is the text data of the publication, and the output is the summarized information.

[0115] Step 4:

[0116] The server configures notification management based on the generated summary information and the user's preferred notification time. Here, time information and summary information are input, and the preparation for notifications based on a set schedule is complete.

[0117] Step 5:

[0118] The server uses a communication network to send summary information to the user's device. The destination is a messaging service such as LINE, and the user can check the content as soon as they receive the notification. This output allows the user to obtain the necessary information in a short amount of time.

[0119] 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.

[0120] This invention is a system for personalizing the reading experience by taking into account the user's emotional state, and is realized through the mutual cooperation of a server, a terminal, and an emotion engine.

[0121] Users register information about books they want to read using devices such as smartphones and tablets. The device sends this information to the server, which then stores it in a database.

[0122] The emotion engine has the ability to monitor the user's emotional state in real time using the device's camera and microphone, or data entered by the user. When the emotion engine recognizes the user's emotions, it sends that information to the server, which is then used to customize book selections and summary information.

[0123] The server uses content analysis tools to summarize the book based on the received book information and extracts key points using generative AI. During this process, it considers emotional data provided by the emotion engine to generate summary information that is optimal for the user's current emotional state.

[0124] When the user's desired delivery time arrives, the server sends a customized summary based on sentiment data via messaging services such as LINE. This allows users to enjoy topics that match their mood at that moment.

[0125] For example, if a user feels the need to relax, the emotion engine communicates this state to the server, which then sends back summaries of books suitable for relaxation. This makes the reading experience more personalized and meaningful.

[0126] Furthermore, the emotion engine continuously learns the user's emotional patterns and includes a logging function that helps improve the reading experience in the future. This allows users to enjoy their daily reading in a more satisfying way. This invention is a new means of providing a flexible and personalized digital reading experience tailored to the busy modern person.

[0127] The following describes the processing flow.

[0128] Step 1:

[0129] Users use their devices to input information about the books they want to read and send that information to the server. Smartphones and tablets can be used.

[0130] Step 2:

[0131] The server stores the received book information in a database. Then, it prepares to analyze the text data of the book using content analysis tools.

[0132] Step 3:

[0133] The emotion engine analyzes the user's facial expressions and voice through the device's camera and microphone to recognize their current emotional state in real time. This information is then sent to a server.

[0134] Step 4:

[0135] The server uses a generative AI to extract key points based on book information and generates a summary. During this process, it considers emotional data provided by the emotion engine to format the information in a way that best suits the user's emotions.

[0136] Step 5:

[0137] The server sets a notification schedule based on the user's preferred delivery time. It prepares to deliver information customized by sentiment data.

[0138] Step 6:

[0139] At the designated time, the server sends summary information to the terminal via the communication network. Messaging services such as LINE are used.

[0140] Step 7:

[0141] The device notifies and displays the user of the received summary information. The user can then review the content and enjoy an optimal reading experience tailored to their emotions.

[0142] (Example 2)

[0143] 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".

[0144] In today's busy lifestyle, there is a need for personalized information delivery that adapts to the emotional state of users. However, conventional information distribution systems often fail to adequately optimize content to reflect users' real-time emotional states, making it difficult for users to receive information in the way they desire. Furthermore, random information distribution often fails to capture users' interest. This invention aims to provide a new information delivery system to solve these problems.

[0145] 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.

[0146] In this invention, the server includes means for receiving book information via information transmission means through the user's terminal device and storing the book information in a database; means for summarizing the book content using content analysis means based on the book information and generating the summary information; means for monitoring the user's emotional state in real time using emotion analysis means and acquiring the emotion data; and means for optimizing the generated summary information for the user's emotional state, taking into account the acquired emotion data. This enables user-oriented, personalized information delivery based on real-time emotion analysis.

[0147] "User" refers to an individual or group that uses the information system and is the entity that registers or receives book information through its terminal device.

[0148] "Terminal devices" refer to hardware devices that users directly operate to register, receive, and transmit information, and include smartphones and tablets.

[0149] "Information transmission means" refers to a function for sending book information from a terminal device to a server, and is a mechanism for transferring data via a communication network such as the internet.

[0150] "Book information" refers to data about books registered by users via their terminal devices, including metadata such as title, author, and genre.

[0151] A "database" is an information management system used to organize and store data such as book information on a server.

[0152] "Content analysis means" refers to algorithms and software technologies for analyzing book information and summarizing its content, and includes natural language processing technologies.

[0153] "Summary information" refers to data that is abbreviated and contains the most important content of a book, generated by a content analysis tool.

[0154] "Emotional analysis means" refers to technologies for detecting and evaluating a user's emotional state in real time, and includes the analysis of biometric information using cameras and microphones.

[0155] A "communication network" is a system for sending and receiving data between terminal devices and servers, and includes the internet and wireless communication.

[0156] A "notification schedule" is a plan for managing the timing of sending summary information to users.

[0157] This invention is a system for personalizing the reading experience by taking into account the user's emotional state. The system mainly consists of a server, a terminal, and an emotion engine. Detailed embodiments of the invention are described below.

[0158] Users register information about books they want to read using devices such as smartphones and tablets. This is done via a dedicated application on the device or a web interface. The device then sends the book information entered by the user to the server. A secure communication protocol (e.g., HTTPS) is used in this process.

[0159] Next, the server stores the received book information in a database management system (e.g., MySQL® or PostgreSQL). The stored book information is analyzed by content analysis tools, and a summary of the book is generated using natural language processing technology and generative AI models. In this summarization process, key points are extracted using generative AI models.

[0160] The emotion engine monitors the user's emotional state in real time through the camera and microphone built into the device. Data entered by the user is also used for analysis. During this process, an emotion analysis algorithm accurately grasps the user's emotions and sends that data to the server.

[0161] The server optimizes summary information based on emotion data from the emotion engine, tailoring it to the user's emotional state. The optimized summary information is then sent via messaging service APIs, such as LINE, at the user's preferred delivery time.

[0162] For example, if a user feels like relaxing, the emotion engine communicates this to the server. The server then generates a summary of a book suitable for relaxation and sends it to the user. Examples of prompts include: "The emotion engine has recognized that you want to relax. Please generate a summary of a book suitable for relaxation," or "Please provide a book summary if the user is feeling adventurous."

[0163] This invention allows users to enjoy topics that match their mood at the time, leading to a more meaningful reading experience.

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

[0165] Step 1:

[0166] The user registers information about the book they want to read using the terminal. This input includes the book's title, author, and genre. The terminal receives this book information and sends it to the server. The output of this information is the book data received by the server. Specifically, the user fills in the required information in the input form on the terminal and presses the submit button.

[0167] Step 2:

[0168] The server saves book information received from the terminal to the database. During this process, the book information received as input is organized and stored by the database management system. The output is structured book data stored in the database. Specifically, the server uses a database connection API to write book information using INSERT statements.

[0169] Step 3:

[0170] The emotion engine monitors the user's emotional state in real time through the device's camera and microphone. Inputs include user facial expression data and audio data. The emotion analysis algorithm processes this data and sends the emotional data to the server. The output is digital data representing the user's emotional state. Specifically, the emotion engine software captures video and audio and analyzes their characteristics.

[0171] Step 4:

[0172] The server retrieves book information from a database and performs summarization using a content analysis tool. Inputs include book data from the database and sentiment data from an emotion engine. The output is a summary optimized for emotion using a generative AI model. Specifically, natural language processing techniques are used for text analysis for summarization, and the results are combined with the sentiment data.

[0173] Step 5:

[0174] When the user-set delivery time arrives, the server sends optimized summary information via a messaging service such as LINE. The input consists of the optimized summary information and the user's delivery schedule. The output is a notification message sent to the user's device. Specifically, the server calls a messaging API at a designated time to deliver a customized book summary to the user.

[0175] (Application Example 2)

[0176] 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".

[0177] Conventional reading support systems lack information provision that takes into account the user's emotional state, making it difficult to provide a personalized reading experience that matches the user's psychology and mood at any given time. Furthermore, if the summary information does not match the user's interests or state of mind, reading satisfaction decreases. Therefore, there is a need for new methods that flexibly provide information more suited to individual users.

[0178] 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.

[0179] In this invention, the server includes means for receiving book information via information transmission means through the user's terminal device and storing the book information in a database; means for summarizing the book content using content analysis means based on the book information and generating summary information; means for emotion recognition means for detecting the user's emotional state and for personalizing the summary information based on the emotional state; and means for setting a notification schedule for the personalized summary information according to the user's desired delivery time and transmitting it to the user's terminal device via a communication network. This makes it possible to provide summary information optimized for the user's emotional state, resulting in a personalized and highly satisfying reading experience.

[0180] "User terminal devices" refer to electronic devices used by individual users to receive and transmit information, and include smartphones and tablets.

[0181] "Information transmission means" refers to a communication method for sending book information from a user's terminal device to a server.

[0182] "Book information" refers to data that describes a book, including its title, author's name, and content-specific information.

[0183] A "database" is a means of information storage for centrally managing and storing the above-mentioned book information.

[0184] A "content analysis tool" is a means of automatically analyzing the content of a book based on its information and generating a summary.

[0185] "Summary information" refers to information that concisely summarizes the content of a book that has been analyzed, and is provided to users in this format.

[0186] "Emotion recognition means" refers to technologies used to detect a user's current emotional state, and includes the measurement of emotions using sensors such as cameras and microphones.

[0187] "Personalization methods" refer to methods for personalizing the summary information provided according to the user's emotional state and preferences.

[0188] "Notification schedule" refers to a plan for sending summary information based on the user's specified preferred delivery time.

[0189] A "communication network" refers to the internet and other digital communication methods used to transmit information to the terminal devices of service users.

[0190] The system that realizes this invention first inputs book information using a user's terminal device and transmits the book information to a server using an information transmission means. This server stores the received book information in a database and uses a content analysis means to summarize the book content based on that data.

[0191] The server measures the user's emotions in real time using emotion recognition technology and personalizes the summary information based on the measurement results. Emotion recognition uses sensors such as cameras and microphones installed in the terminal device, and emotion recognition APIs (e.g., Microsoft® Azure® Emotion API) are used as needed.

[0192] Personalized summary information is sent to the terminal device via the communication network, with a notification schedule set according to the user's preferred delivery time. This allows users to receive summary information optimized for their current emotional state in a timely manner.

[0193] For example, if a user feels the need to relax, the emotion recognition system transmits this information to the server, which then generates and sends summary information suitable for relaxation. By utilizing a generative AI model on the terminal (e.g., GPT-4®) to scrutinize and customize information to match the user's emotional state, users can enjoy a personalized reading experience.

[0194] An example of a prompt for a generative AI model is a question like, "What kind of encouraging summary can you provide to a user who is feeling sad?" This allows the server and the generative AI to explore how to provide the most relevant information for the user's situation.

[0195] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0196] Step 1:

[0197] The user enters book information using a terminal device. They enter basic information such as the book title and author's name into a form and press the submit button. The input data is converted to JSON format and sent to the server via a data transmission method.

[0198] Step 2:

[0199] The server stores the received book information in a database. The database is configured in SQL or NoSQL format and is optimized for storing basic book data. The input is book information in JSON format, and the output is the record stored in the database.

[0200] Step 3:

[0201] The server analyzes book information using content analysis tools and generates summary information. A generative AI model is used to extract important parts of the input book information and create a summary. NLP algorithms are used in this process to automatically generate the summary. The output is summarized text data.

[0202] Step 4:

[0203] The device's emotion recognition system collects emotional data through the user's facial expressions and voice input. It uses a camera and microphone to evaluate emotional states in real time via an API. Input consists of image and audio data, while output is tagged data representing emotional states.

[0204] Step 5:

[0205] The server uses the received sentiment data to personalize the summary information. Based on the user's emotional state, a generative AI model processes the summary text, changing it to a more appropriate tone and content. The input for this step is a combination of sentiment data and summary information, and the output is customized summary data.

[0206] Step 6:

[0207] The server sets the notification schedule according to the user's preferred delivery time. The server then formulates a delivery plan using a scheduling mechanism, taking the user's specified time into consideration. The input is information about the preferred delivery time, and the output is schedule management information.

[0208] Step 7:

[0209] The server transmits customized summary information to the user's terminal device via a communication network. The terminal then notifies the user of the summary information using a messaging app such as LINE. The input consists of customized summary data and schedule information, and the output is a notification to the user's terminal.

[0210] 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.

[0211] 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.

[0212] 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.

[0213] [Second Embodiment]

[0214] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0215] 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.

[0216] 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).

[0217] 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.

[0218] 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.

[0219] 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).

[0220] 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.

[0221] 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.

[0222] 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.

[0223] 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.

[0224] 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.

[0225] 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".

[0226] This invention is a system for modern, busy users to efficiently enjoy reading, and consists of three components: a server, a terminal, and a user. Specific embodiments of this invention are as follows.

[0227] First, users register information about the books they want to read using a device such as a smartphone or tablet. At this time, the device transmits information such as the book's title and author to the server via an information transmission method. The server stores the received book information in a database. For this purpose, an internet-based communication network is used to ensure smooth data transmission.

[0228] Next, the server activates a content analysis system based on the book information and analyzes the book's text data. Using this analysis, the server automatically extracts key points using a generative AI and condenses them into a concise summary. This summary is designed for users to read in short bursts of free time and is typically about five minutes long.

[0229] Once the summary information is ready, the server sends a notification via messaging services such as LINE, based on the delivery schedule set by the user. The server uses the communication network to notify the user's device of the summary information at the specified time. This allows the user to check the notification immediately and easily start reading whenever they feel like it.

[0230] For example, if a user registers "Business Book A" and requests to be notified every morning at 8:00 AM, the server generates a summary of the book and sends the user the topic for the day via LINE at 8:00 AM. The user receives the notification and can check its contents, allowing them to efficiently enjoy reading during their commute or breaks.

[0231] This invention allows users to easily enjoy books they want to read at various times of day in their daily lives, maintaining a deep reading experience and forming a consistent reading habit even during busy periods.

[0232] The following describes the processing flow.

[0233] Step 1:

[0234] The user uses their device to enter information about the book they want to read and registers the book information. The device then sends this information to the server.

[0235] Step 2:

[0236] The server analyzes the received book information and stores it in a database. This book information includes the title, author name, ISBN, etc.

[0237] Step 3:

[0238] The server activates the content analysis mechanism and begins analyzing the text data based on the book information stored in the database.

[0239] Step 4:

[0240] The server uses a generation AI to extract key points from books and summarize them into short texts.

[0241] Step 5:

[0242] The server sets a notification schedule based on the user's preferred delivery time for summarized information.

[0243] Step 6:

[0244] At the designated delivery time, the server sends summary information to the device via the communication network. Messaging services such as LINE are used.

[0245] Step 7:

[0246] The device notifies the user of the received summary information and displays the content. The user can then check the notification and continue enjoying reading.

[0247] (Example 1)

[0248] 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."

[0249] For users leading busy modern lives, finding time to read is a challenge. Furthermore, there is a need to efficiently grasp only the key points from a large number of books. Additionally, there is a demand for timely information tailored to their individual lifestyles, but traditional methods have failed to meet this need.

[0250] 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.

[0251] In this invention, the server includes means for receiving book data via data transmission means through a user's information processing device and storing the book data in a storage device, means for summarizing the book content using data analysis means based on the book data and generating the summary data, and means for using prompt sentences when generating the summary using a generation AI model. This enables users to efficiently acquire important information and enjoy reading without time constraints.

[0252] A "user" is someone who uses the system to register book data and receive summary information.

[0253] An "information processing device" is a device, such as a smartphone or tablet, that users use to input and receive book data.

[0254] "Data transmission means" refers to the communication functions and protocols used to transmit book data.

[0255] "Book data" refers to data that includes information such as the book's title, author, and text.

[0256] A "storage device" is a device used to store data on a server, and includes databases, etc.

[0257] "Data analysis means" refers to analytical functions used to summarize book data.

[0258] "Summary data" refers to abbreviated information containing only the key points extracted from analyzed book data.

[0259] A "generative AI model" is an artificial intelligence model used to automatically generate summaries of book data.

[0260] A "prompt statement" is a phrase used to give specific instructions to a generative AI model.

[0261] A "communication system" is a network system used to send and receive data between a server and an information processing device.

[0262] The "schedule management method" is a function that plans and manages the transmission of summary data based on the user's desired transmission time.

[0263] This invention is a system designed to allow busy users to efficiently enjoy reading. This system primarily consists of a server, terminals (information processing devices such as smartphones and tablets), and users.

[0264] First, the user uses a terminal to input data about the book they want to read. This data includes the book title, author, and text. The terminal then sends this data to a server via the internet. The server receives the book data using a data transmission method and stores it in a database, which is a storage device.

[0265] Next, the server activates a data analysis tool based on the received book data. This generates a summary of the book's content. The server uses a generative AI model and prompts to extract key points. An example of a prompt is, "Please summarize the key points of this book. The summary should be short enough to read in 5 minutes." By providing this prompt to the generative AI model, a summary that can be read in a short time is generated.

[0266] The server uses a communication system to send summary data at a time set according to the user's preferences. The server uses this communication system to send the summary data to the user's device according to the user's set schedule. This allows users to enjoy reading during spare time, such as during their commute or breaks.

[0267] For example, if a user selects a business book and requests to receive summary data at 8 AM every morning, the server will send the summary data via a messaging service such as LINE at that time. This allows the user to efficiently obtain information during their morning commute.

[0268] In this way, this system provides an efficient and sustainable reading experience by delivering necessary information to users at the optimal time.

[0269] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0270] Step 1:

[0271] The user uses their device to input data about the book they want to read. Specifically, they input the book title, author, and text data via a dedicated app or web interface. The input data is sent to the server via the device's data transmission method. The input is the book data, and the output is the data sent to the server.

[0272] Step 2:

[0273] The server analyzes the book data received from the terminal. After verifying data integrity, it saves the book data to the database. The input here is the received book data, and the output is the saved database entry. Specifically, the server checks for data duplication and format consistency.

[0274] Step 3:

[0275] The server activates a data analysis tool based on the stored book data. The server passes the book text to a generating AI model and requests a summary using a prompt. The input is the book text data and the prompt, and the output is the summary data. Specifically, the prompt used is, "Please summarize the key points of this book. The summary should be short enough to be read in 5 minutes."

[0276] Step 4:

[0277] The server retrieves the generated summary data and sets a data transmission schedule based on the user-defined delivery schedule. The input consists of the summary data and the user's desired transmission time, while the output is the scheduled notification information. The specific operation involves formulating a transmission plan using a scheduling management mechanism.

[0278] Step 5:

[0279] The server sends summary data to the user's terminal via a communication system. When the designated transmission time arrives, the summary data is sent via messaging services such as LINE. The input is scheduled notification information, and the output is a summary notification received on the user's terminal. The user can then check the received notification and easily view its contents.

[0280] (Application Example 1)

[0281] 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."

[0282] In modern times, it is difficult for users leading busy lives to secure free time. In particular, since they cannot allocate sufficient time to read books and publications, the number of users who want to acquire information efficiently is increasing. On the other hand, there is a lack of means to easily grasp the content of books when needed, which is hindering the reading experience of users. By solving this problem, it is required to enhance user satisfaction and easily provide a rich knowledge experience.

[0283] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0284] In this invention, the server includes means for receiving publication information by information transmission means via the user's computing device and storing the publication information in a storage device; means for summarizing the publication content using content analysis means based on the publication information and generating summary information; means for automatically extracting important points using a generation AI model when generating the summary information; and means for setting notification management according to the desired notification time set by the user for the summary information and transmitting it to the user's computing device via a communication network. Thereby, the user can efficiently grasp the content of the publication without being restricted by time.

[0285] The "user's computing device" is an electronic device personally used by the user and is hardware for transmitting, receiving, and processing data.

[0286] The "information transmission means" refers to communication protocols and technologies for sending data and messages to other devices or servers.

[0287] The "publication information" is a general term for metadata and content information related to books, e-books, magazines, etc.

[0288] The "storage device" refers to hardware and software for permanently or temporarily storing data and information.

[0289] "Content analysis tools" are algorithms and tools used to analyze text and data and extract important information and features from them.

[0290] "Summary information" refers to information that extracts and summarizes only the important points from a long text so that it can be understood in a short amount of time.

[0291] A "generative AI model" is an algorithm or framework that uses artificial intelligence to analyze data and generate new information according to a specific purpose.

[0292] "Notification management" is a function that manages the schedule for sending information in a timely manner based on the time period and conditions desired by the user.

[0293] A "communication network" refers to the infrastructure and technologies used to send and receive data between multiple devices.

[0294] This invention provides a system that allows users to efficiently understand the content of publications. Its main components include a server, a terminal, and a generative AI model.

[0295] The server first receives publication information via the user's computer and stores it in its storage device. During this process, information transmission means are utilized, and data is sent and received via communication networks such as the internet.

[0296] Next, the server activates a content analysis system to analyze the publication information in detail. During this process, a generative AI model is used to extract key points from the publication. The AI ​​model employs the latest natural language processing techniques and utilizes deep learning to generate highly accurate summaries.

[0297] This summary information is sent to the user's computer via notification management based on the user's pre-set preferred notification time. Notifications are provided in a format that is easily accessible to the user, utilizing messaging services such as LINE.

[0298] As a concrete example, consider a scenario where users register books covering the latest business topics and receive summary information during their morning commute. This allows users to quickly grasp important content and apply it to their daily work. In this case, the AI ​​model receives a prompt such as, "Summarize the following text: {text content}. Create a summary that can be read in approximately 5 minutes." The system then outputs an optimal summary.

[0299] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0300] Step 1:

[0301] The user uses their device to input information about the publication they wish to read. This information includes the book title and author's name, which is then transmitted from the device to the server via an information transmission device. Through this process, the device provides publication information to the server.

[0302] Step 2:

[0303] The server stores the publication information received from the terminal in its storage device. Based on this stored information, it prepares to activate the content analysis system. The input is publication information, which is organized in the database and used in subsequent analysis steps.

[0304] Step 3:

[0305] The server activates a content analysis tool using stored publication information to analyze the text data. It utilizes a generative AI model to automatically extract key points. The prompt "Summarize the following text: {text content}. Create a summary that can be read in approximately 5 minutes." is input to the AI, generating the summary information. In this process, the input is the text data of the publication, and the output is the summarized information.

[0306] Step 4:

[0307] The server sets notification management according to the generated summary information and the desired notification time set by the user. Here, the time information and the summary information are input, and the preparation for notifications based on a certain schedule is completed.

[0308] Step 5:

[0309] The server uses the communication network to transmit the summary information to the user's terminal. The destination for transmission is a messaging service such as LINE, for example, and the user can check the content as soon as they receive the notification. With this output, the user can obtain the necessary information in a short time.

[0310] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion recognition model 59 and perform specific processing using the user's emotions.

[0311] The present invention is a system for personalizing the reading experience in consideration of the user's emotional state, and is realized by the server, the terminal, and the emotion engine cooperating with each other.

[0312] The user uses a terminal such as a smartphone or a tablet to register information about the book they want to read in the system. The terminal transmits this information to the server, and the server stores the information in the database.

[0313] The emotion engine has a function of monitoring the user's emotional state in real time using the camera or microphone of the terminal or the data input by the user. When the emotion engine recognizes the user's emotions, it transmits that information to the server, which is reflected in the selection of books and the customization of summary information.

[0314] The server uses content analysis tools to summarize the book based on the received book information and extracts key points using generative AI. During this process, it considers emotional data provided by the emotion engine to generate summary information that is optimal for the user's current emotional state.

[0315] When the user's desired delivery time arrives, the server sends a customized summary based on sentiment data via messaging services such as LINE. This allows users to enjoy topics that match their mood at that moment.

[0316] For example, if a user feels the need to relax, the emotion engine communicates this state to the server, which then sends back summaries of books suitable for relaxation. This makes the reading experience more personalized and meaningful.

[0317] Furthermore, the emotion engine continuously learns the user's emotional patterns and includes a logging function that helps improve the reading experience in the future. This allows users to enjoy their daily reading in a more satisfying way. This invention is a new means of providing a flexible and personalized digital reading experience tailored to the busy modern person.

[0318] The following describes the processing flow.

[0319] Step 1:

[0320] Users use their devices to input information about the books they want to read and send that information to the server. Smartphones and tablets can be used.

[0321] Step 2:

[0322] The server stores the received book information in a database. Then, it prepares to analyze the text data of the book using content analysis tools.

[0323] Step 3:

[0324] The emotion engine analyzes the user's facial expressions and voice through the device's camera and microphone to recognize their current emotional state in real time. This information is then sent to a server.

[0325] Step 4:

[0326] The server uses a generative AI to extract key points based on book information and generates a summary. During this process, it considers emotional data provided by the emotion engine to format the information in a way that best suits the user's emotions.

[0327] Step 5:

[0328] The server sets a notification schedule based on the user's preferred delivery time. It prepares to deliver information customized by sentiment data.

[0329] Step 6:

[0330] At the designated time, the server sends summary information to the terminal via the communication network. Messaging services such as LINE are used.

[0331] Step 7:

[0332] The device notifies and displays the user of the received summary information. The user can then review the content and enjoy an optimal reading experience tailored to their emotions.

[0333] (Example 2)

[0334] 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".

[0335] In today's busy lifestyle, there is a need for personalized information delivery that adapts to the emotional state of users. However, conventional information distribution systems often fail to adequately optimize content to reflect users' real-time emotional states, making it difficult for users to receive information in the way they desire. Furthermore, random information distribution often fails to capture users' interest. This invention aims to provide a new information delivery system to solve these problems.

[0336] 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.

[0337] In this invention, the server includes means for receiving book information via information transmission means through the user's terminal device and storing the book information in a database; means for summarizing the book content using content analysis means based on the book information and generating the summary information; means for monitoring the user's emotional state in real time using emotion analysis means and acquiring the emotion data; and means for optimizing the generated summary information for the user's emotional state, taking into account the acquired emotion data. This enables user-oriented, personalized information delivery based on real-time emotion analysis.

[0338] "User" refers to an individual or group that uses the information system and is the entity that registers or receives book information through its terminal device.

[0339] "Terminal devices" refer to hardware devices that users directly operate to register, receive, and transmit information, and include smartphones and tablets.

[0340] "Information transmission means" refers to a function for sending book information from a terminal device to a server, and is a mechanism for transferring data via a communication network such as the internet.

[0341] "Book information" refers to data about books registered by users via their terminal devices, including metadata such as title, author, and genre.

[0342] A "database" is an information management system used to organize and store data such as book information on a server.

[0343] "Content analysis means" refers to algorithms and software technologies for analyzing book information and summarizing its content, and includes natural language processing technologies.

[0344] "Summary information" refers to data that is abbreviated and contains the most important content of a book, generated by a content analysis tool.

[0345] "Emotional analysis means" refers to technologies for detecting and evaluating a user's emotional state in real time, and includes the analysis of biometric information using cameras and microphones.

[0346] A "communication network" is a system for sending and receiving data between terminal devices and servers, and includes the internet and wireless communication.

[0347] A "notification schedule" is a plan for managing the timing of sending summary information to users.

[0348] This invention is a system for personalizing the reading experience by taking into account the user's emotional state. The system mainly consists of a server, a terminal, and an emotion engine. Detailed embodiments of the invention are described below.

[0349] Users register information about books they want to read using devices such as smartphones and tablets. This is done via a dedicated application on the device or a web interface. The device then sends the book information entered by the user to the server. A secure communication protocol (e.g., HTTPS) is used in this process.

[0350] Next, the server stores the received book information in a database management system (e.g., MySQL or PostgreSQL). The stored book information is analyzed by content analysis tools, and a summary of the book is generated using natural language processing technology and generative AI models. In this summarization process, key points are extracted using generative AI models.

[0351] The emotion engine monitors the user's emotional state in real time through the camera and microphone built into the device. Data entered by the user is also used for analysis. During this process, an emotion analysis algorithm accurately grasps the user's emotions and sends that data to the server.

[0352] The server optimizes summary information based on emotion data from the emotion engine, tailoring it to the user's emotional state. The optimized summary information is then sent via messaging service APIs, such as LINE, at the user's preferred delivery time.

[0353] For example, if a user feels like relaxing, the emotion engine communicates this to the server. The server then generates a summary of a book suitable for relaxation and sends it to the user. Examples of prompts include: "The emotion engine has recognized that you want to relax. Please generate a summary of a book suitable for relaxation," or "Please provide a book summary if the user is feeling adventurous."

[0354] This invention allows users to enjoy topics that match their mood at the time, leading to a more meaningful reading experience.

[0355] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0356] Step 1:

[0357] The user registers information about the book they want to read using the terminal. This input includes the book's title, author, and genre. The terminal receives this book information and sends it to the server. The output of this information is the book data received by the server. Specifically, the user fills in the required information in the input form on the terminal and presses the submit button.

[0358] Step 2:

[0359] The server saves book information received from the terminal to the database. During this process, the book information received as input is organized and stored by the database management system. The output is structured book data stored in the database. Specifically, the server uses a database connection API to write book information using INSERT statements.

[0360] Step 3:

[0361] The emotion engine monitors the user's emotional state in real time through the device's camera and microphone. Inputs include user facial expression data and audio data. The emotion analysis algorithm processes this data and sends the emotional data to the server. The output is digital data representing the user's emotional state. Specifically, the emotion engine software captures video and audio and analyzes their characteristics.

[0362] Step 4:

[0363] The server retrieves book information from a database and performs summarization using a content analysis tool. Inputs include book data from the database and sentiment data from an emotion engine. The output is a summary optimized for emotion using a generative AI model. Specifically, natural language processing techniques are used for text analysis for summarization, and the results are combined with the sentiment data.

[0364] Step 5:

[0365] When the user-set delivery time arrives, the server sends optimized summary information via a messaging service such as LINE. The input consists of the optimized summary information and the user's delivery schedule. The output is a notification message sent to the user's device. Specifically, the server calls a messaging API at a designated time to deliver a customized book summary to the user.

[0366] (Application Example 2)

[0367] 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."

[0368] Conventional reading support systems lack information provision that takes into account the user's emotional state, making it difficult to provide a personalized reading experience that matches the user's psychology and mood at any given time. Furthermore, if the summary information does not match the user's interests or state of mind, reading satisfaction decreases. Therefore, there is a need for new methods that flexibly provide information more suited to individual users.

[0369] 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.

[0370] In this invention, the server includes means for receiving book information via information transmission means through the user's terminal device and storing the book information in a database; means for summarizing the book content using content analysis means based on the book information and generating summary information; means for emotion recognition means for detecting the user's emotional state and for personalizing the summary information based on the emotional state; and means for setting a notification schedule for the personalized summary information according to the user's desired delivery time and transmitting it to the user's terminal device via a communication network. This makes it possible to provide summary information optimized for the user's emotional state, resulting in a personalized and highly satisfying reading experience.

[0371] "User terminal devices" refer to electronic devices used by individual users to receive and transmit information, and include smartphones and tablets.

[0372] "Information transmission means" refers to a communication method for sending book information from a user's terminal device to a server.

[0373] "Book information" refers to data that describes a book, including its title, author's name, and content-specific information.

[0374] A "database" is a means of information storage for centrally managing and storing the above-mentioned book information.

[0375] A "content analysis tool" is a means of automatically analyzing the content of a book based on its information and generating a summary.

[0376] "Summary information" refers to information that concisely summarizes the content of a book that has been analyzed, and is provided to users in this format.

[0377] "Emotion recognition means" refers to technologies used to detect a user's current emotional state, and includes the measurement of emotions using sensors such as cameras and microphones.

[0378] "Personalization methods" refer to methods for personalizing the summary information provided according to the user's emotional state and preferences.

[0379] "Notification schedule" refers to a plan for sending summary information based on the user's specified preferred delivery time.

[0380] A "communication network" refers to the internet and other digital communication methods used to transmit information to the terminal devices of service users.

[0381] The system that realizes this invention first inputs book information using a user's terminal device and transmits the book information to a server using an information transmission means. This server stores the received book information in a database and uses a content analysis means to summarize the book content based on that data.

[0382] The server measures the user's emotions in real time using emotion recognition technology and personalizes the summary information based on the measurement results. Emotion recognition uses sensors such as cameras and microphones installed in the terminal device, and emotion recognition APIs (such as Microsoft Azure Emotion API) are used as needed.

[0383] Personalized summary information is sent to the terminal device via the communication network, with a notification schedule set according to the user's preferred delivery time. This allows users to receive summary information optimized for their current emotional state in a timely manner.

[0384] For example, if a user feels the need to relax, the emotion recognition system transmits this information to the server, which then generates and sends summary information suitable for relaxation. By utilizing a generative AI model on the terminal (e.g., GPT-4) to refine and customize information to match the user's emotional state, users can enjoy a personalized reading experience.

[0385] An example of a prompt for a generative AI model is a question like, "What kind of encouraging summary can you provide to a user who is feeling sad?" This allows the server and the generative AI to explore how to provide the most relevant information for the user's situation.

[0386] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0387] Step 1:

[0388] The user enters book information using a terminal device. They enter basic information such as the book title and author's name into a form and press the submit button. The input data is converted to JSON format and sent to the server via a data transmission method.

[0389] Step 2:

[0390] The server stores the received book information in a database. The database is configured in SQL or NoSQL format and is optimized for storing basic book data. The input is book information in JSON format, and the output is the record stored in the database.

[0391] Step 3:

[0392] The server analyzes book information using content analysis tools and generates summary information. A generative AI model is used to extract important parts of the input book information and create a summary. NLP algorithms are used in this process to automatically generate the summary. The output is summarized text data.

[0393] Step 4:

[0394] The device's emotion recognition system collects emotional data through the user's facial expressions and voice input. It uses a camera and microphone to evaluate emotional states in real time via an API. Input consists of image and audio data, while output is tagged data representing emotional states.

[0395] Step 5:

[0396] The server uses the received sentiment data to personalize the summary information. Based on the user's emotional state, a generative AI model processes the summary text, changing it to a more appropriate tone and content. The input for this step is a combination of sentiment data and summary information, and the output is customized summary data.

[0397] Step 6:

[0398] The server sets the notification schedule according to the user's preferred delivery time. The server then formulates a delivery plan using a scheduling mechanism, taking the user's specified time into consideration. The input is information about the preferred delivery time, and the output is schedule management information.

[0399] Step 7:

[0400] The server transmits customized summary information to the user's terminal device via a communication network. The terminal then notifies the user of the summary information using a messaging app such as LINE. The input consists of customized summary data and schedule information, and the output is a notification to the user's terminal.

[0401] 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.

[0402] 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.

[0403] 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.

[0404] [Third Embodiment]

[0405] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0406] 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.

[0407] 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).

[0408] 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.

[0409] 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.

[0410] 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).

[0411] 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.

[0412] 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.

[0413] 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.

[0414] 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.

[0415] 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.

[0416] 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".

[0417] This invention is a system for modern, busy users to efficiently enjoy reading, and consists of three components: a server, a terminal, and a user. Specific embodiments of this invention are as follows.

[0418] First, users register information about the books they want to read using a device such as a smartphone or tablet. At this time, the device transmits information such as the book's title and author to the server via an information transmission method. The server stores the received book information in a database. For this purpose, an internet-based communication network is used to ensure smooth data transmission.

[0419] Next, the server activates a content analysis system based on the book information and analyzes the book's text data. Using this analysis, the server automatically extracts key points using a generative AI and condenses them into a concise summary. This summary is designed for users to read in short bursts of free time and is typically about five minutes long.

[0420] Once the summary information is ready, the server sends a notification via messaging services such as LINE, based on the delivery schedule set by the user. The server uses the communication network to notify the user's device of the summary information at the specified time. This allows the user to check the notification immediately and easily start reading whenever they feel like it.

[0421] For example, if a user registers "Business Book A" and requests to be notified every morning at 8:00 AM, the server generates a summary of the book and sends the user the topic for the day via LINE at 8:00 AM. The user receives the notification and can check its contents, allowing them to efficiently enjoy reading during their commute or breaks.

[0422] This invention allows users to easily enjoy books they want to read at various times of day in their daily lives, maintaining a deep reading experience and forming a consistent reading habit even during busy periods.

[0423] The following describes the processing flow.

[0424] Step 1:

[0425] The user uses their device to enter information about the book they want to read and registers the book information. The device then sends this information to the server.

[0426] Step 2:

[0427] The server analyzes the received book information and stores it in a database. This book information includes the title, author name, ISBN, etc.

[0428] Step 3:

[0429] The server activates the content analysis mechanism and begins analyzing the text data based on the book information stored in the database.

[0430] Step 4:

[0431] The server uses a generation AI to extract key points from books and summarize them into short texts.

[0432] Step 5:

[0433] The server sets a notification schedule based on the user's preferred delivery time for summarized information.

[0434] Step 6:

[0435] At the designated delivery time, the server sends summary information to the device via the communication network. Messaging services such as LINE are used.

[0436] Step 7:

[0437] The device notifies the user of the received summary information and displays the content. The user can then check the notification and continue enjoying reading.

[0438] (Example 1)

[0439] 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."

[0440] For users leading busy modern lives, finding time to read is a challenge. Furthermore, there is a need to efficiently grasp only the key points from a large number of books. Additionally, there is a demand for timely information tailored to their individual lifestyles, but traditional methods have failed to meet this need.

[0441] 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.

[0442] In this invention, the server includes means for receiving book data via data transmission means through a user's information processing device and storing the book data in a storage device, means for summarizing the book content using data analysis means based on the book data and generating the summary data, and means for using prompt sentences when generating the summary using a generation AI model. This enables users to efficiently acquire important information and enjoy reading without time constraints.

[0443] A "user" is someone who uses the system to register book data and receive summary information.

[0444] An "information processing device" is a device, such as a smartphone or tablet, that users use to input and receive book data.

[0445] "Data transmission means" refers to the communication functions and protocols used to transmit book data.

[0446] "Book data" refers to data that includes information such as the book's title, author, and text.

[0447] A "storage device" is a device used to store data on a server, and includes databases, etc.

[0448] "Data analysis means" refers to analytical functions used to summarize book data.

[0449] "Summary data" refers to abbreviated information containing only the key points extracted from analyzed book data.

[0450] A "generative AI model" is an artificial intelligence model used to automatically generate summaries of book data.

[0451] A "prompt statement" is a phrase used to give specific instructions to a generative AI model.

[0452] A "communication system" is a network system used to send and receive data between a server and an information processing device.

[0453] The "schedule management method" is a function that plans and manages the transmission of summary data based on the user's desired transmission time.

[0454] This invention is a system designed to allow busy users to efficiently enjoy reading. This system primarily consists of a server, terminals (information processing devices such as smartphones and tablets), and users.

[0455] First, the user uses a terminal to input data about the book they want to read. This data includes the book title, author, and text. The terminal then sends this data to a server via the internet. The server receives the book data using a data transmission method and stores it in a database, which is a storage device.

[0456] Next, the server activates a data analysis tool based on the received book data. This generates a summary of the book's content. The server uses a generative AI model and prompts to extract key points. An example of a prompt is, "Please summarize the key points of this book. The summary should be short enough to read in 5 minutes." By providing this prompt to the generative AI model, a summary that can be read in a short time is generated.

[0457] The server uses a communication system to send summary data at a time set according to the user's preferences. The server uses this communication system to send the summary data to the user's device according to the user's set schedule. This allows users to enjoy reading during spare time, such as during their commute or breaks.

[0458] For example, if a user selects a business book and requests to receive summary data at 8 AM every morning, the server will send the summary data via a messaging service such as LINE at that time. This allows the user to efficiently obtain information during their morning commute.

[0459] In this way, this system provides an efficient and sustainable reading experience by delivering necessary information to users at the optimal time.

[0460] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0461] Step 1:

[0462] The user uses their device to input data about the book they want to read. Specifically, they input the book title, author, and text data via a dedicated app or web interface. The input data is sent to the server via the device's data transmission method. The input is the book data, and the output is the data sent to the server.

[0463] Step 2:

[0464] The server analyzes the book data received from the terminal. After verifying data integrity, it saves the book data to the database. The input here is the received book data, and the output is the saved database entry. Specifically, the server checks for data duplication and format consistency.

[0465] Step 3:

[0466] The server activates a data analysis tool based on the stored book data. The server passes the book text to a generating AI model and requests a summary using a prompt. The input is the book text data and the prompt, and the output is the summary data. Specifically, the prompt used is, "Please summarize the key points of this book. The summary should be short enough to be read in 5 minutes."

[0467] Step 4:

[0468] The server retrieves the generated summary data and sets a data transmission schedule based on the user-defined delivery schedule. The input consists of the summary data and the user's desired transmission time, while the output is the scheduled notification information. The specific operation involves formulating a transmission plan using a scheduling management mechanism.

[0469] Step 5:

[0470] The server sends summary data to the user's terminal via a communication system. When the designated transmission time arrives, the summary data is sent via messaging services such as LINE. The input is scheduled notification information, and the output is a summary notification received on the user's terminal. The user can then check the received notification and easily view its contents.

[0471] (Application Example 1)

[0472] 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."

[0473] In today's world, it is difficult for busy users to secure free time. In particular, many users lack sufficient time to read books and publications, leading to an increasing demand for efficient information acquisition. However, there is a lack of readily available means to easily access the content of books when needed, hindering the reading experience. Solving this problem is crucial to increasing user satisfaction and providing easily accessible and enriching knowledge experiences.

[0474] 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.

[0475] In this invention, the server includes means for receiving publication information via information transmission means through the user's computing device and storing the publication information in a storage device; means for summarizing the content of the publication using content analysis means based on the publication information and generating summary information; means for automatically extracting important points using a generation AI model when generating the summary information; and means for setting notification management according to the user's desired notification time and transmitting the summary information to the user's computing device via a communication network. This makes it possible for the user to efficiently grasp the content of publications without being constrained by time.

[0476] A "user's computing device" refers to an electronic device used personally by a user, which is hardware used for sending, receiving, and processing data.

[0477] "Information transmission means" refers to communication protocols and technologies used to send data and messages to other devices or servers.

[0478] "Publication information" is a general term for metadata and content information related to books, ebooks, magazines, and other publications.

[0479] "Storage device" refers to hardware and software used to permanently or temporarily store data and information.

[0480] "Content analysis tools" are algorithms and tools used to analyze text and data and extract important information and features from them.

[0481] "Summary information" refers to information that extracts and summarizes only the important points from a long text so that it can be understood in a short amount of time.

[0482] A "generative AI model" is an algorithm or framework that uses artificial intelligence to analyze data and generate new information according to a specific purpose.

[0483] "Notification management" is a function that manages the schedule for sending information in a timely manner based on the time period and conditions desired by the user.

[0484] A "communication network" refers to the infrastructure and technologies used to send and receive data between multiple devices.

[0485] This invention provides a system that allows users to efficiently understand the content of publications. Its main components include a server, a terminal, and a generative AI model.

[0486] The server first receives publication information via the user's computer and stores it in its storage device. During this process, information transmission means are utilized, and data is sent and received via communication networks such as the internet.

[0487] Next, the server activates a content analysis system to analyze the publication information in detail. During this process, a generative AI model is used to extract key points from the publication. The AI ​​model employs the latest natural language processing techniques and utilizes deep learning to generate highly accurate summaries.

[0488] This summary information is sent to the user's computer via notification management based on the user's pre-set preferred notification time. Notifications are provided in a format that is easily accessible to the user, utilizing messaging services such as LINE.

[0489] As a concrete example, consider a scenario where users register books covering the latest business topics and receive summary information during their morning commute. This allows users to quickly grasp important content and apply it to their daily work. In this case, the AI ​​model receives a prompt such as, "Summarize the following text: {text content}. Create a summary that can be read in approximately 5 minutes." The system then outputs an optimal summary.

[0490] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0491] Step 1:

[0492] The user uses their device to input information about the publication they wish to read. This information includes the book title and author's name, which is then transmitted from the device to the server via an information transmission device. Through this process, the device provides publication information to the server.

[0493] Step 2:

[0494] The server stores the publication information received from the terminal in its storage device. Based on this stored information, it prepares to activate the content analysis system. The input is publication information, which is organized in the database and used in subsequent analysis steps.

[0495] Step 3:

[0496] The server activates a content analysis tool using stored publication information to analyze the text data. It utilizes a generative AI model to automatically extract key points. The prompt "Summarize the following text: {text content}. Create a summary that can be read in approximately 5 minutes." is input to the AI, generating the summary information. In this process, the input is the text data of the publication, and the output is the summarized information.

[0497] Step 4:

[0498] The server configures notification management based on the generated summary information and the user's preferred notification time. Here, time information and summary information are input, and the preparation for notifications based on a set schedule is complete.

[0499] Step 5:

[0500] The server uses a communication network to send summary information to the user's device. The destination is a messaging service such as LINE, and the user can check the content as soon as they receive the notification. This output allows the user to obtain the necessary information in a short amount of time.

[0501] 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.

[0502] This invention is a system for personalizing the reading experience by taking into account the user's emotional state, and is realized through the mutual cooperation of a server, a terminal, and an emotion engine.

[0503] Users register information about books they want to read using devices such as smartphones and tablets. The device sends this information to the server, which then stores it in a database.

[0504] The emotion engine has the ability to monitor the user's emotional state in real time using the device's camera and microphone, or data entered by the user. When the emotion engine recognizes the user's emotions, it sends that information to the server, which is then used to customize book selections and summary information.

[0505] The server uses content analysis tools to summarize the book based on the received book information and extracts key points using generative AI. During this process, it considers emotional data provided by the emotion engine to generate summary information that is optimal for the user's current emotional state.

[0506] When the user's desired delivery time arrives, the server sends a customized summary based on sentiment data via messaging services such as LINE. This allows users to enjoy topics that match their mood at that moment.

[0507] For example, if a user feels the need to relax, the emotion engine communicates this state to the server, which then sends back summaries of books suitable for relaxation. This makes the reading experience more personalized and meaningful.

[0508] Furthermore, the emotion engine continuously learns the user's emotional patterns and includes a logging function that helps improve the reading experience in the future. This allows users to enjoy their daily reading in a more satisfying way. This invention is a new means of providing a flexible and personalized digital reading experience tailored to the busy modern person.

[0509] The following describes the processing flow.

[0510] Step 1:

[0511] Users use their devices to input information about the books they want to read and send that information to the server. Smartphones and tablets can be used.

[0512] Step 2:

[0513] The server stores the received book information in a database. Then, it prepares to analyze the text data of the book using content analysis tools.

[0514] Step 3:

[0515] The emotion engine analyzes the user's facial expressions and voice through the device's camera and microphone to recognize their current emotional state in real time. This information is then sent to a server.

[0516] Step 4:

[0517] The server uses a generative AI to extract key points based on book information and generates a summary. During this process, it considers emotional data provided by the emotion engine to format the information in a way that best suits the user's emotions.

[0518] Step 5:

[0519] The server sets a notification schedule based on the user's preferred delivery time. It prepares to deliver information customized by sentiment data.

[0520] Step 6:

[0521] At the designated time, the server sends summary information to the terminal via the communication network. Messaging services such as LINE are used.

[0522] Step 7:

[0523] The device notifies and displays the user of the received summary information. The user can then review the content and enjoy an optimal reading experience tailored to their emotions.

[0524] (Example 2)

[0525] 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."

[0526] In today's busy lifestyle, there is a need for personalized information delivery that adapts to the emotional state of users. However, conventional information distribution systems often fail to adequately optimize content to reflect users' real-time emotional states, making it difficult for users to receive information in the way they desire. Furthermore, random information distribution often fails to capture users' interest. This invention aims to provide a new information delivery system to solve these problems.

[0527] 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.

[0528] In this invention, the server includes means for receiving book information via information transmission means through the user's terminal device and storing the book information in a database; means for summarizing the book content using content analysis means based on the book information and generating the summary information; means for monitoring the user's emotional state in real time using emotion analysis means and acquiring the emotion data; and means for optimizing the generated summary information for the user's emotional state, taking into account the acquired emotion data. This enables user-oriented, personalized information delivery based on real-time emotion analysis.

[0529] "User" refers to an individual or group that uses the information system and is the entity that registers or receives book information through its terminal device.

[0530] "Terminal devices" refer to hardware devices that users directly operate to register, receive, and transmit information, and include smartphones and tablets.

[0531] "Information transmission means" refers to a function for sending book information from a terminal device to a server, and is a mechanism for transferring data via a communication network such as the internet.

[0532] "Book information" refers to data about books registered by users via their terminal devices, including metadata such as title, author, and genre.

[0533] A "database" is an information management system used to organize and store data such as book information on a server.

[0534] "Content analysis means" refers to algorithms and software technologies for analyzing book information and summarizing its content, and includes natural language processing technologies.

[0535] "Summary information" refers to data that is abbreviated and contains the most important content of a book, generated by a content analysis tool.

[0536] "Emotional analysis means" refers to technologies for detecting and evaluating a user's emotional state in real time, and includes the analysis of biometric information using cameras and microphones.

[0537] A "communication network" is a system for sending and receiving data between terminal devices and servers, and includes the internet and wireless communication.

[0538] A "notification schedule" is a plan for managing the timing of sending summary information to users.

[0539] This invention is a system for personalizing the reading experience by taking into account the user's emotional state. The system mainly consists of a server, a terminal, and an emotion engine. Detailed embodiments of the invention are described below.

[0540] Users register information about books they want to read using devices such as smartphones and tablets. This is done via a dedicated application on the device or a web interface. The device then sends the book information entered by the user to the server. A secure communication protocol (e.g., HTTPS) is used in this process.

[0541] Next, the server stores the received book information in a database management system (e.g., MySQL or PostgreSQL). The stored book information is analyzed by content analysis tools, and a summary of the book is generated using natural language processing technology and generative AI models. In this summarization process, key points are extracted using generative AI models.

[0542] The emotion engine monitors the user's emotional state in real time through the camera and microphone built into the device. Data entered by the user is also used for analysis. During this process, an emotion analysis algorithm accurately grasps the user's emotions and sends that data to the server.

[0543] The server optimizes summary information based on emotion data from the emotion engine, tailoring it to the user's emotional state. The optimized summary information is then sent via messaging service APIs, such as LINE, at the user's preferred delivery time.

[0544] For example, if a user feels like relaxing, the emotion engine communicates this to the server. The server then generates a summary of a book suitable for relaxation and sends it to the user. Examples of prompts include: "The emotion engine has recognized that you want to relax. Please generate a summary of a book suitable for relaxation," or "Please provide a book summary if the user is feeling adventurous."

[0545] This invention allows users to enjoy topics that match their mood at the time, leading to a more meaningful reading experience.

[0546] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0547] Step 1:

[0548] The user registers information about the book they want to read using the terminal. This input includes the book's title, author, and genre. The terminal receives this book information and sends it to the server. The output of this information is the book data received by the server. Specifically, the user fills in the required information in the input form on the terminal and presses the submit button.

[0549] Step 2:

[0550] The server saves book information received from the terminal to the database. During this process, the book information received as input is organized and stored by the database management system. The output is structured book data stored in the database. Specifically, the server uses a database connection API to write book information using INSERT statements.

[0551] Step 3:

[0552] The emotion engine monitors the user's emotional state in real time through the device's camera and microphone. Inputs include user facial expression data and audio data. The emotion analysis algorithm processes this data and sends the emotional data to the server. The output is digital data representing the user's emotional state. Specifically, the emotion engine software captures video and audio and analyzes their characteristics.

[0553] Step 4:

[0554] The server retrieves book information from a database and performs summarization using a content analysis tool. Inputs include book data from the database and sentiment data from an emotion engine. The output is a summary optimized for emotion using a generative AI model. Specifically, natural language processing techniques are used for text analysis for summarization, and the results are combined with the sentiment data.

[0555] Step 5:

[0556] When the user-set delivery time arrives, the server sends optimized summary information via a messaging service such as LINE. The input consists of the optimized summary information and the user's delivery schedule. The output is a notification message sent to the user's device. Specifically, the server calls a messaging API at a designated time to deliver a customized book summary to the user.

[0557] (Application Example 2)

[0558] 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."

[0559] Conventional reading support systems lack information provision that takes into account the user's emotional state, making it difficult to provide a personalized reading experience that matches the user's psychology and mood at any given time. Furthermore, if the summary information does not match the user's interests or state of mind, reading satisfaction decreases. Therefore, there is a need for new methods that flexibly provide information more suited to individual users.

[0560] 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.

[0561] In this invention, the server includes means for receiving book information via information transmission means through the user's terminal device and storing the book information in a database; means for summarizing the book content using content analysis means based on the book information and generating summary information; means for emotion recognition means for detecting the user's emotional state and for personalizing the summary information based on the emotional state; and means for setting a notification schedule for the personalized summary information according to the user's desired delivery time and transmitting it to the user's terminal device via a communication network. This makes it possible to provide summary information optimized for the user's emotional state, resulting in a personalized and highly satisfying reading experience.

[0562] "User terminal devices" refer to electronic devices used by individual users to receive and transmit information, and include smartphones and tablets.

[0563] "Information transmission means" refers to a communication method for sending book information from a user's terminal device to a server.

[0564] "Book information" refers to data that describes a book, including its title, author's name, and content-specific information.

[0565] A "database" is a means of information storage for centrally managing and storing the above-mentioned book information.

[0566] A "content analysis tool" is a means of automatically analyzing the content of a book based on its information and generating a summary.

[0567] "Summary information" refers to information that concisely summarizes the content of a book that has been analyzed, and is provided to users in this format.

[0568] "Emotion recognition means" refers to technologies used to detect a user's current emotional state, and includes the measurement of emotions using sensors such as cameras and microphones.

[0569] "Personalization methods" refer to methods for personalizing the summary information provided according to the user's emotional state and preferences.

[0570] "Notification schedule" refers to a plan for sending summary information based on the user's specified preferred delivery time.

[0571] A "communication network" refers to the internet and other digital communication methods used to transmit information to the terminal devices of service users.

[0572] The system that realizes this invention first inputs book information using a user's terminal device and transmits the book information to a server using an information transmission means. This server stores the received book information in a database and uses a content analysis means to summarize the book content based on that data.

[0573] The server measures the user's emotions in real time using emotion recognition technology and personalizes the summary information based on the measurement results. Emotion recognition uses sensors such as cameras and microphones installed in the terminal device, and emotion recognition APIs (such as Microsoft Azure Emotion API) are used as needed.

[0574] Personalized summary information is sent to the terminal device via the communication network, with a notification schedule set according to the user's preferred delivery time. This allows users to receive summary information optimized for their current emotional state in a timely manner.

[0575] For example, if a user feels the need to relax, the emotion recognition system transmits this information to the server, which then generates and sends summary information suitable for relaxation. By utilizing a generative AI model on the terminal (e.g., GPT-4) to refine and customize information to match the user's emotional state, users can enjoy a personalized reading experience.

[0576] An example of a prompt for a generative AI model is a question like, "What kind of encouraging summary can you provide to a user who is feeling sad?" This allows the server and the generative AI to explore how to provide the most relevant information for the user's situation.

[0577] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0578] Step 1:

[0579] The user enters book information using a terminal device. They enter basic information such as the book title and author's name into a form and press the submit button. The input data is converted to JSON format and sent to the server via a data transmission method.

[0580] Step 2:

[0581] The server stores the received book information in a database. The database is configured in SQL or NoSQL format and is optimized for storing basic book data. The input is book information in JSON format, and the output is the record stored in the database.

[0582] Step 3:

[0583] The server analyzes book information using content analysis tools and generates summary information. A generative AI model is used to extract important parts of the input book information and create a summary. NLP algorithms are used in this process to automatically generate the summary. The output is summarized text data.

[0584] Step 4:

[0585] The device's emotion recognition system collects emotional data through the user's facial expressions and voice input. It uses a camera and microphone to evaluate emotional states in real time via an API. Input consists of image and audio data, while output is tagged data representing emotional states.

[0586] Step 5:

[0587] The server uses the received sentiment data to personalize the summary information. Based on the user's emotional state, a generative AI model processes the summary text, changing it to a more appropriate tone and content. The input for this step is a combination of sentiment data and summary information, and the output is customized summary data.

[0588] Step 6:

[0589] The server sets the notification schedule according to the user's preferred delivery time. The server then formulates a delivery plan using a scheduling mechanism, taking the user's specified time into consideration. The input is information about the preferred delivery time, and the output is schedule management information.

[0590] Step 7:

[0591] The server transmits customized summary information to the user's terminal device via a communication network. The terminal then notifies the user of the summary information using a messaging app such as LINE. The input consists of customized summary data and schedule information, and the output is a notification to the user's terminal.

[0592] 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.

[0593] 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.

[0594] 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.

[0595] [Fourth Embodiment]

[0596] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0597] 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.

[0598] 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).

[0599] 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.

[0600] 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.

[0601] 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).

[0602] 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.

[0603] 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.

[0604] 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.

[0605] 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.

[0606] 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.

[0607] 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.

[0608] 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".

[0609] This invention is a system for modern, busy users to efficiently enjoy reading, and consists of three components: a server, a terminal, and a user. Specific embodiments of this invention are as follows.

[0610] First, users register information about the books they want to read using a device such as a smartphone or tablet. At this time, the device transmits information such as the book's title and author to the server via an information transmission method. The server stores the received book information in a database. For this purpose, an internet-based communication network is used to ensure smooth data transmission.

[0611] Next, the server activates a content analysis system based on the book information and analyzes the book's text data. Using this analysis, the server automatically extracts key points using a generative AI and condenses them into a concise summary. This summary is designed for users to read in short bursts of free time and is typically about five minutes long.

[0612] Once the summary information is ready, the server sends a notification via messaging services such as LINE, based on the delivery schedule set by the user. The server uses the communication network to notify the user's device of the summary information at the specified time. This allows the user to check the notification immediately and easily start reading whenever they feel like it.

[0613] For example, if a user registers "Business Book A" and requests to be notified every morning at 8:00 AM, the server generates a summary of the book and sends the user the topic for the day via LINE at 8:00 AM. The user receives the notification and can check its contents, allowing them to efficiently enjoy reading during their commute or breaks.

[0614] This invention allows users to easily enjoy books they want to read at various times of day in their daily lives, maintaining a deep reading experience and forming a consistent reading habit even during busy periods.

[0615] The following describes the processing flow.

[0616] Step 1:

[0617] The user uses their device to enter information about the book they want to read and registers the book information. The device then sends this information to the server.

[0618] Step 2:

[0619] The server analyzes the received book information and stores it in a database. This book information includes the title, author name, ISBN, etc.

[0620] Step 3:

[0621] The server activates the content analysis mechanism and begins analyzing the text data based on the book information stored in the database.

[0622] Step 4:

[0623] The server uses a generation AI to extract key points from books and summarize them into short texts.

[0624] Step 5:

[0625] The server sets a notification schedule based on the user's preferred delivery time for summarized information.

[0626] Step 6:

[0627] At the designated delivery time, the server sends summary information to the device via the communication network. Messaging services such as LINE are used.

[0628] Step 7:

[0629] The device notifies the user of the received summary information and displays the content. The user can then check the notification and continue enjoying reading.

[0630] (Example 1)

[0631] 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".

[0632] For users leading busy modern lives, finding time to read is a challenge. Furthermore, there is a need to efficiently grasp only the key points from a large number of books. Additionally, there is a demand for timely information tailored to their individual lifestyles, but traditional methods have failed to meet this need.

[0633] 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.

[0634] In this invention, the server includes means for receiving book data via data transmission means through a user's information processing device and storing the book data in a storage device, means for summarizing the book content using data analysis means based on the book data and generating the summary data, and means for using prompt sentences when generating the summary using a generation AI model. This enables users to efficiently acquire important information and enjoy reading without time constraints.

[0635] A "user" is someone who uses the system to register book data and receive summary information.

[0636] An "information processing device" is a device, such as a smartphone or tablet, that users use to input and receive book data.

[0637] "Data transmission means" refers to the communication functions and protocols used to transmit book data.

[0638] "Book data" refers to data that includes information such as the book's title, author, and text.

[0639] A "storage device" is a device used to store data on a server, and includes databases, etc.

[0640] "Data analysis means" refers to analytical functions used to summarize book data.

[0641] "Summary data" refers to abbreviated information containing only the key points extracted from analyzed book data.

[0642] A "generative AI model" is an artificial intelligence model used to automatically generate summaries of book data.

[0643] A "prompt statement" is a phrase used to give specific instructions to a generative AI model.

[0644] A "communication system" is a network system used to send and receive data between a server and an information processing device.

[0645] The "schedule management method" is a function that plans and manages the transmission of summary data based on the user's desired transmission time.

[0646] This invention is a system designed to allow busy users to efficiently enjoy reading. This system primarily consists of a server, terminals (information processing devices such as smartphones and tablets), and users.

[0647] First, the user uses a terminal to input data about the book they want to read. This data includes the book title, author, and text. The terminal then sends this data to a server via the internet. The server receives the book data using a data transmission method and stores it in a database, which is a storage device.

[0648] Next, the server activates a data analysis tool based on the received book data. This generates a summary of the book's content. The server uses a generative AI model and prompts to extract key points. An example of a prompt is, "Please summarize the key points of this book. The summary should be short enough to read in 5 minutes." By providing this prompt to the generative AI model, a summary that can be read in a short time is generated.

[0649] The server uses a communication system to send summary data at a time set according to the user's preferences. The server uses this communication system to send the summary data to the user's device according to the user's set schedule. This allows users to enjoy reading during spare time, such as during their commute or breaks.

[0650] For example, if a user selects a business book and requests to receive summary data at 8 AM every morning, the server will send the summary data via a messaging service such as LINE at that time. This allows the user to efficiently obtain information during their morning commute.

[0651] In this way, this system provides an efficient and sustainable reading experience by delivering necessary information to users at the optimal time.

[0652] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0653] Step 1:

[0654] The user uses their device to input data about the book they want to read. Specifically, they input the book title, author, and text data via a dedicated app or web interface. The input data is sent to the server via the device's data transmission method. The input is the book data, and the output is the data sent to the server.

[0655] Step 2:

[0656] The server analyzes the book data received from the terminal. After verifying data integrity, it saves the book data to the database. The input here is the received book data, and the output is the saved database entry. Specifically, the server checks for data duplication and format consistency.

[0657] Step 3:

[0658] The server activates a data analysis tool based on the stored book data. The server passes the book text to a generating AI model and requests a summary using a prompt. The input is the book text data and the prompt, and the output is the summary data. Specifically, the prompt used is, "Please summarize the key points of this book. The summary should be short enough to be read in 5 minutes."

[0659] Step 4:

[0660] The server retrieves the generated summary data and sets a data transmission schedule based on the user-defined delivery schedule. The input consists of the summary data and the user's desired transmission time, while the output is the scheduled notification information. The specific operation involves formulating a transmission plan using a scheduling management mechanism.

[0661] Step 5:

[0662] The server sends summary data to the user's terminal via a communication system. When the designated transmission time arrives, the summary data is sent via messaging services such as LINE. The input is scheduled notification information, and the output is a summary notification received on the user's terminal. The user can then check the received notification and easily view its contents.

[0663] (Application Example 1)

[0664] 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".

[0665] In today's world, it is difficult for busy users to secure free time. In particular, many users lack sufficient time to read books and publications, leading to an increasing demand for efficient information acquisition. However, there is a lack of readily available means to easily access the content of books when needed, hindering the reading experience. Solving this problem is crucial to increasing user satisfaction and providing easily accessible and enriching knowledge experiences.

[0666] 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.

[0667] In this invention, the server includes means for receiving publication information via information transmission means through the user's computing device and storing the publication information in a storage device; means for summarizing the content of the publication using content analysis means based on the publication information and generating summary information; means for automatically extracting important points using a generation AI model when generating the summary information; and means for setting notification management according to the user's desired notification time and transmitting the summary information to the user's computing device via a communication network. This makes it possible for the user to efficiently grasp the content of publications without being constrained by time.

[0668] A "user's computing device" refers to an electronic device used personally by a user, which is hardware used for sending, receiving, and processing data.

[0669] "Information transmission means" refers to communication protocols and technologies used to send data and messages to other devices or servers.

[0670] "Publication information" is a general term for metadata and content information related to books, ebooks, magazines, and other publications.

[0671] "Storage device" refers to hardware and software used to permanently or temporarily store data and information.

[0672] "Content analysis tools" are algorithms and tools used to analyze text and data and extract important information and features from them.

[0673] "Summary information" refers to information that extracts and summarizes only the important points from a long text so that it can be understood in a short amount of time.

[0674] A "generative AI model" is an algorithm or framework that uses artificial intelligence to analyze data and generate new information according to a specific purpose.

[0675] "Notification management" is a function that manages the schedule for sending information in a timely manner based on the time period and conditions desired by the user.

[0676] A "communication network" refers to the infrastructure and technologies used to send and receive data between multiple devices.

[0677] This invention provides a system that allows users to efficiently understand the content of publications. Its main components include a server, a terminal, and a generative AI model.

[0678] The server first receives publication information via the user's computer and stores it in its storage device. During this process, information transmission means are utilized, and data is sent and received via communication networks such as the internet.

[0679] Next, the server activates a content analysis system to analyze the publication information in detail. During this process, a generative AI model is used to extract key points from the publication. The AI ​​model employs the latest natural language processing techniques and utilizes deep learning to generate highly accurate summaries.

[0680] This summary information is sent to the user's computer via notification management based on the user's pre-set preferred notification time. Notifications are provided in a format that is easily accessible to the user, utilizing messaging services such as LINE.

[0681] As a concrete example, consider a scenario where users register books covering the latest business topics and receive summary information during their morning commute. This allows users to quickly grasp important content and apply it to their daily work. In this case, the AI ​​model receives a prompt such as, "Summarize the following text: {text content}. Create a summary that can be read in approximately 5 minutes." The system then outputs an optimal summary.

[0682] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0683] Step 1:

[0684] The user uses their device to input information about the publication they wish to read. This information includes the book title and author's name, which is then transmitted from the device to the server via an information transmission device. Through this process, the device provides publication information to the server.

[0685] Step 2:

[0686] The server stores the publication information received from the terminal in its storage device. Based on this stored information, it prepares to activate the content analysis system. The input is publication information, which is organized in the database and used in subsequent analysis steps.

[0687] Step 3:

[0688] The server activates a content analysis tool using stored publication information to analyze the text data. It utilizes a generative AI model to automatically extract key points. The prompt "Summarize the following text: {text content}. Create a summary that can be read in approximately 5 minutes." is input to the AI, generating the summary information. In this process, the input is the text data of the publication, and the output is the summarized information.

[0689] Step 4:

[0690] The server configures notification management based on the generated summary information and the user's preferred notification time. Here, time information and summary information are input, and the preparation for notifications based on a set schedule is complete.

[0691] Step 5:

[0692] The server uses a communication network to send summary information to the user's device. The destination is a messaging service such as LINE, and the user can check the content as soon as they receive the notification. This output allows the user to obtain the necessary information in a short amount of time.

[0693] 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.

[0694] This invention is a system for personalizing the reading experience by taking into account the user's emotional state, and is realized through the mutual cooperation of a server, a terminal, and an emotion engine.

[0695] Users register information about books they want to read using devices such as smartphones and tablets. The device sends this information to the server, which then stores it in a database.

[0696] The emotion engine has the ability to monitor the user's emotional state in real time using the device's camera and microphone, or data entered by the user. When the emotion engine recognizes the user's emotions, it sends that information to the server, which is then used to customize book selections and summary information.

[0697] The server uses content analysis tools to summarize the book based on the received book information and extracts key points using generative AI. During this process, it considers emotional data provided by the emotion engine to generate summary information that is optimal for the user's current emotional state.

[0698] When the user's desired delivery time arrives, the server sends a customized summary based on sentiment data via messaging services such as LINE. This allows users to enjoy topics that match their mood at that moment.

[0699] For example, if a user feels the need to relax, the emotion engine communicates this state to the server, which then sends back summaries of books suitable for relaxation. This makes the reading experience more personalized and meaningful.

[0700] Furthermore, the emotion engine continuously learns the user's emotional patterns and includes a logging function that helps improve the reading experience in the future. This allows users to enjoy their daily reading in a more satisfying way. This invention is a new means of providing a flexible and personalized digital reading experience tailored to the busy modern person.

[0701] The following describes the processing flow.

[0702] Step 1:

[0703] Users use their devices to input information about the books they want to read and send that information to the server. Smartphones and tablets can be used.

[0704] Step 2:

[0705] The server stores the received book information in a database. Then, it prepares to analyze the text data of the book using content analysis tools.

[0706] Step 3:

[0707] The emotion engine analyzes the user's facial expressions and voice through the device's camera and microphone to recognize their current emotional state in real time. This information is then sent to a server.

[0708] Step 4:

[0709] The server uses a generative AI to extract key points based on book information and generates a summary. During this process, it considers emotional data provided by the emotion engine to format the information in a way that best suits the user's emotions.

[0710] Step 5:

[0711] The server sets a notification schedule based on the user's preferred delivery time. It prepares to deliver information customized by sentiment data.

[0712] Step 6:

[0713] At the designated time, the server sends summary information to the terminal via the communication network. Messaging services such as LINE are used.

[0714] Step 7:

[0715] The device notifies and displays the user of the received summary information. The user can then review the content and enjoy an optimal reading experience tailored to their emotions.

[0716] (Example 2)

[0717] 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".

[0718] In today's busy lifestyle, there is a need for personalized information delivery that adapts to the emotional state of users. However, conventional information distribution systems often fail to adequately optimize content to reflect users' real-time emotional states, making it difficult for users to receive information in the way they desire. Furthermore, random information distribution often fails to capture users' interest. This invention aims to provide a new information delivery system to solve these problems.

[0719] 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.

[0720] In this invention, the server includes means for receiving book information via information transmission means through the user's terminal device and storing the book information in a database; means for summarizing the book content using content analysis means based on the book information and generating the summary information; means for monitoring the user's emotional state in real time using emotion analysis means and acquiring the emotion data; and means for optimizing the generated summary information for the user's emotional state, taking into account the acquired emotion data. This enables user-oriented, personalized information delivery based on real-time emotion analysis.

[0721] "User" refers to an individual or group that uses the information system and is the entity that registers or receives book information through its terminal device.

[0722] "Terminal devices" refer to hardware devices that users directly operate to register, receive, and transmit information, and include smartphones and tablets.

[0723] "Information transmission means" refers to a function for sending book information from a terminal device to a server, and is a mechanism for transferring data via a communication network such as the internet.

[0724] "Book information" refers to data about books registered by users via their terminal devices, including metadata such as title, author, and genre.

[0725] A "database" is an information management system used to organize and store data such as book information on a server.

[0726] "Content analysis means" refers to algorithms and software technologies for analyzing book information and summarizing its content, and includes natural language processing technologies.

[0727] "Summary information" refers to data that is abbreviated and contains the most important content of a book, generated by a content analysis tool.

[0728] "Emotional analysis means" refers to technologies for detecting and evaluating a user's emotional state in real time, and includes the analysis of biometric information using cameras and microphones.

[0729] A "communication network" is a system for sending and receiving data between terminal devices and servers, and includes the internet and wireless communication.

[0730] A "notification schedule" is a plan for managing the timing of sending summary information to users.

[0731] This invention is a system for personalizing the reading experience by taking into account the user's emotional state. The system mainly consists of a server, a terminal, and an emotion engine. Detailed embodiments of the invention are described below.

[0732] Users register information about books they want to read using devices such as smartphones and tablets. This is done via a dedicated application on the device or a web interface. The device then sends the book information entered by the user to the server. A secure communication protocol (e.g., HTTPS) is used in this process.

[0733] Next, the server stores the received book information in a database management system (e.g., MySQL or PostgreSQL). The stored book information is analyzed by content analysis tools, and a summary of the book is generated using natural language processing technology and generative AI models. In this summarization process, key points are extracted using generative AI models.

[0734] The emotion engine monitors the user's emotional state in real time through the camera and microphone built into the device. Data entered by the user is also used for analysis. During this process, an emotion analysis algorithm accurately grasps the user's emotions and sends that data to the server.

[0735] The server optimizes summary information based on emotion data from the emotion engine, tailoring it to the user's emotional state. The optimized summary information is then sent via messaging service APIs, such as LINE, at the user's preferred delivery time.

[0736] For example, if a user feels like relaxing, the emotion engine communicates this to the server. The server then generates a summary of a book suitable for relaxation and sends it to the user. Examples of prompts include: "The emotion engine has recognized that you want to relax. Please generate a summary of a book suitable for relaxation," or "Please provide a book summary if the user is feeling adventurous."

[0737] This invention allows users to enjoy topics that match their mood at the time, leading to a more meaningful reading experience.

[0738] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0739] Step 1:

[0740] The user registers information about the book they want to read using the terminal. This input includes the book's title, author, and genre. The terminal receives this book information and sends it to the server. The output of this information is the book data received by the server. Specifically, the user fills in the required information in the input form on the terminal and presses the submit button.

[0741] Step 2:

[0742] The server saves book information received from the terminal to the database. During this process, the book information received as input is organized and stored by the database management system. The output is structured book data stored in the database. Specifically, the server uses a database connection API to write book information using INSERT statements.

[0743] Step 3:

[0744] The emotion engine monitors the user's emotional state in real time through the device's camera and microphone. Inputs include user facial expression data and audio data. The emotion analysis algorithm processes this data and sends the emotional data to the server. The output is digital data representing the user's emotional state. Specifically, the emotion engine software captures video and audio and analyzes their characteristics.

[0745] Step 4:

[0746] The server retrieves book information from a database and performs summarization using a content analysis tool. Inputs include book data from the database and sentiment data from an emotion engine. The output is a summary optimized for emotion using a generative AI model. Specifically, natural language processing techniques are used for text analysis for summarization, and the results are combined with the sentiment data.

[0747] Step 5:

[0748] When the user-set delivery time arrives, the server sends optimized summary information via a messaging service such as LINE. The input consists of the optimized summary information and the user's delivery schedule. The output is a notification message sent to the user's device. Specifically, the server calls a messaging API at a designated time to deliver a customized book summary to the user.

[0749] (Application Example 2)

[0750] 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".

[0751] Conventional reading support systems lack information provision that takes into account the user's emotional state, making it difficult to provide a personalized reading experience that matches the user's psychology and mood at any given time. Furthermore, if the summary information does not match the user's interests or state of mind, reading satisfaction decreases. Therefore, there is a need for new methods that flexibly provide information more suited to individual users.

[0752] 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.

[0753] In this invention, the server includes means for receiving book information via information transmission means through the user's terminal device and storing the book information in a database; means for summarizing the book content using content analysis means based on the book information and generating summary information; means for emotion recognition means for detecting the user's emotional state and for personalizing the summary information based on the emotional state; and means for setting a notification schedule for the personalized summary information according to the user's desired delivery time and transmitting it to the user's terminal device via a communication network. This makes it possible to provide summary information optimized for the user's emotional state, resulting in a personalized and highly satisfying reading experience.

[0754] "User terminal devices" refer to electronic devices used by individual users to receive and transmit information, and include smartphones and tablets.

[0755] "Information transmission means" refers to a communication method for sending book information from a user's terminal device to a server.

[0756] "Book information" refers to data that describes a book, including its title, author's name, and content-specific information.

[0757] A "database" is a means of information storage for centrally managing and storing the above-mentioned book information.

[0758] A "content analysis tool" is a means of automatically analyzing the content of a book based on its information and generating a summary.

[0759] "Summary information" refers to information that concisely summarizes the content of a book that has been analyzed, and is provided to users in this format.

[0760] "Emotion recognition means" refers to technologies used to detect a user's current emotional state, and includes the measurement of emotions using sensors such as cameras and microphones.

[0761] "Personalization methods" refer to methods for personalizing the summary information provided according to the user's emotional state and preferences.

[0762] "Notification schedule" refers to a plan for sending summary information based on the user's specified preferred delivery time.

[0763] A "communication network" refers to the internet and other digital communication methods used to transmit information to the terminal devices of service users.

[0764] The system that realizes this invention first inputs book information using a user's terminal device and transmits the book information to a server using an information transmission means. This server stores the received book information in a database and uses a content analysis means to summarize the book content based on that data.

[0765] The server measures the user's emotions in real time using emotion recognition technology and personalizes the summary information based on the measurement results. Emotion recognition uses sensors such as cameras and microphones installed in the terminal device, and emotion recognition APIs (such as Microsoft Azure Emotion API) are used as needed.

[0766] Personalized summary information is sent to the terminal device via the communication network, with a notification schedule set according to the user's preferred delivery time. This allows users to receive summary information optimized for their current emotional state in a timely manner.

[0767] For example, if a user feels the need to relax, the emotion recognition system transmits this information to the server, which then generates and sends summary information suitable for relaxation. By utilizing a generative AI model on the terminal (e.g., GPT-4) to refine and customize information to match the user's emotional state, users can enjoy a personalized reading experience.

[0768] An example of a prompt for a generative AI model is a question like, "What kind of encouraging summary can you provide to a user who is feeling sad?" This allows the server and the generative AI to explore how to provide the most relevant information for the user's situation.

[0769] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0770] Step 1:

[0771] The user enters book information using a terminal device. They enter basic information such as the book title and author's name into a form and press the submit button. The input data is converted to JSON format and sent to the server via a data transmission method.

[0772] Step 2:

[0773] The server stores the received book information in a database. The database is configured in SQL or NoSQL format and is optimized for storing basic book data. The input is book information in JSON format, and the output is the record stored in the database.

[0774] Step 3:

[0775] The server analyzes book information using content analysis tools and generates summary information. A generative AI model is used to extract important parts of the input book information and create a summary. NLP algorithms are used in this process to automatically generate the summary. The output is summarized text data.

[0776] Step 4:

[0777] The device's emotion recognition system collects emotional data through the user's facial expressions and voice input. It uses a camera and microphone to evaluate emotional states in real time via an API. Input consists of image and audio data, while output is tagged data representing emotional states.

[0778] Step 5:

[0779] The server uses the received sentiment data to personalize the summary information. Based on the user's emotional state, a generative AI model processes the summary text, changing it to a more appropriate tone and content. The input for this step is a combination of sentiment data and summary information, and the output is customized summary data.

[0780] Step 6:

[0781] The server sets the notification schedule according to the user's preferred delivery time. The server then formulates a delivery plan using a scheduling mechanism, taking the user's specified time into consideration. The input is information about the preferred delivery time, and the output is schedule management information.

[0782] Step 7:

[0783] The server transmits customized summary information to the user's terminal device via a communication network. The terminal then notifies the user of the summary information using a messaging app such as LINE. The input consists of customized summary data and schedule information, and the output is a notification to the user's terminal.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] 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.

[0792] 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."

[0793] 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.

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] 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.

[0801] 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.

[0802] 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.

[0803] 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.

[0804] 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.

[0805] The following is further disclosed regarding the embodiments described above.

[0806] (Claim 1)

[0807] A means for receiving book information via information transmission means through the user's terminal device and storing the said book information in a database,

[0808] A means for summarizing the book content using content analysis means based on the aforementioned book information and generating the summary information,

[0809] A means for setting a notification schedule for the aforementioned summary information according to the user's preferred delivery time and transmitting it to the user's terminal device via a communication network,

[0810] A system that includes this.

[0811] (Claim 2)

[0812] The system according to claim 1, which generates topics using an automatic summarization means based on the aforementioned book information and provides them as summary information that can be read in a short time.

[0813] (Claim 3)

[0814] The system according to claim 1, further comprising a schedule management means for formulating a schedule for periodically distributing summary information based on the desired distribution time set by the user.

[0815] "Example 1"

[0816] (Claim 1)

[0817] A means for receiving book data via a data transmission means through a user's information processing device and storing the said book data in a storage device,

[0818] A means for summarizing the content of a book using data analysis means based on the aforementioned book data, and for generating the summary data,

[0819] A means of using prompt sentences when generating summaries using a generative AI model,

[0820] The means for setting a data transmission schedule according to the user's desired transmission time and transmitting the aforementioned summary data to the user's information processing device via a communication system,

[0821] A system that includes this.

[0822] (Claim 2)

[0823] The system according to claim 1, which generates a subject using an automatic summarization means based on the aforementioned book data and provides it as summary data that can be used in a short time.

[0824] (Claim 3)

[0825] The system according to claim 1, further comprising a schedule management means for formulating a schedule for periodically transmitting summary data based on the desired transmission time set by the user.

[0826] "Application Example 1"

[0827] (Claim 1)

[0828] A means for receiving publication information via information transmission means through the user's computing device and storing the said publication information in a storage device,

[0829] A means for summarizing the content of a publication using content analysis means based on the aforementioned publication information and generating the summary information,

[0830] The means for setting notification management according to the user's preferred notification time and transmitting the aforementioned summary information to the user's computer via a communication network,

[0831] A means for automatically extracting important points using a generation AI model when generating the aforementioned summary information,

[0832] A system that includes this.

[0833] (Claim 2)

[0834] The system according to claim 1, which generates prompt sentences using a generative AI model based on the aforementioned publication information and provides them as summary information that can be understood in a short time.

[0835] (Claim 3)

[0836] The system according to claim 1, further comprising a notification management means for managing a notification schedule for periodically delivering summary information based on the user's preferred notification time.

[0837] "Example 2 of combining an emotion engine"

[0838] (Claim 1)

[0839] A means for receiving book information via information transmission means through the user's terminal device and storing the said book information in a database,

[0840] A means for summarizing the book content using content analysis means based on the aforementioned book information and generating the summary information,

[0841] A means for monitoring a user's emotional state in real time using emotion analysis tools and acquiring that emotional data,

[0842] A means for optimizing the generated summary information to the user's emotional state, taking into account the acquired emotional data,

[0843] A means for setting a notification schedule for the aforementioned summary information according to the user's preferred delivery time and transmitting it to the user's terminal device via a communication network,

[0844] A system that includes this.

[0845] (Claim 2)

[0846] The system according to claim 1, which generates topics using an automatic summarization means based on the aforementioned book information and provides them as summary information that can be read in a short time.

[0847] (Claim 3)

[0848] The system according to claim 1, further comprising a schedule management means for formulating a schedule for periodically distributing summary information based on the desired distribution time set by the user.

[0849] "Application example 2 when combining with an emotional engine"

[0850] (Claim 1)

[0851] A means for receiving book information via information transmission means through the user's terminal device and storing the said book information in a database,

[0852] A means for summarizing the book content using content analysis means based on the aforementioned book information and generating the summary information,

[0853] The system includes an emotion recognition means for detecting the emotional state of the user, and means for personalizing summary information based on the said emotional state,

[0854] A means for setting a notification schedule for the personalized summary information according to the user's preferred delivery time and transmitting it to the user's terminal device via a communication network,

[0855] A system that includes this.

[0856] (Claim 2)

[0857] The system according to claim 1, which generates topics using an automatic summarization means based on the aforementioned book information and provides them as summary information that can be read in a short time.

[0858] (Claim 3)

[0859] The system according to claim 1, further comprising a schedule management means for formulating a schedule for periodically distributing summary information based on the desired distribution time set by the user. [Explanation of Symbols]

[0860] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for receiving book information via information transmission means through the user's terminal device and storing the said book information in a database, A means for summarizing the book content using content analysis means based on the aforementioned book information and generating the summary information, A means for setting a notification schedule for the aforementioned summary information according to the user's preferred delivery time and transmitting it to the user's terminal device via a communication network, A system that includes this.

2. The system according to claim 1, which generates topics using an automatic summarization means based on the aforementioned book information and provides them as summary information that can be read in a short time.

3. The system according to claim 1, further comprising a schedule management means for formulating a schedule for periodically distributing summary information based on the desired distribution time set by the user.

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