system

Abstract

We provide the system. [Solution] A means for receiving abstract keywords related to books, A means of using received keywords to search a book database using a generative model and generate a list of related books, A means of displaying the generated book list on the user interface and allowing the user to select from it, A means of displaying purchase options for selected books and providing a purchase process, A means of receiving information to give a selected book as a gift to someone else, and sending the gift, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] To solve the problem that there is no mechanism to easily search for and select appropriate books when one wants to purchase or present a book but the title and author are unknown.

Means for Solving the Problems

[0005] The present invention provides a system that searches a database using abstract keywords input by a user, generates and displays a list of related books. This system has a function of presenting purchase options after the selection of a book and completing the purchase process. It can also receive information for presenting a book to others and send the presentation, and further improve the convenience of users by providing a link for online viewing according to the type of book.

[0006] A "book" is a collection of documents, produced in print or digital format, that provide information or stories.

[0007] An "abstract keyword" is a general term used to describe a theme or content without a specific book title or author's name.

[0008] A "generative model" is an algorithm or program used to analyze input information and generate related results.

[0009] A "book database" is a collection of data that systematically stores information related to books, making it searchable and accessible.

[0010] A "user interface" is a screen or other communication method that provides a means for a user to interact with a system.

[0011] "Purchase options" refer to the choices of purchase methods and payment methods available to the user for the book they have selected.

[0012] "Giving a gift" refers to the act of giving a book to someone else, or the procedure for doing so.

[0013] "Online browsing" refers to the function that allows users to read books in digital format via the internet. [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]It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

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

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

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

[0018] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

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

[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] The system of the present invention provides a function that allows users to easily search for a desired book using abstract keywords, even if they do not know the title or author, and to purchase or give the book as a gift. Embodiments of this system are described below.

[0036] First, the user accesses the system using a terminal and enters keywords, genres, or a partial synopsis on the search screen, even if the title or author is unknown. The terminal then sends this input to the server.

[0037] The server analyzes the received keywords and uses a generative model to search for relevant books in the book database. This generative model has the function of extracting information based on the input keywords and building a list of highly relevant books.

[0038] Next, the server sends the generated book list to the terminal, which displays it in the user interface. The user can then easily select books of interest from this list.

[0039] When a user selects a specific book, the device displays purchase options for that book and guides them through the purchase process. Users can choose from multiple payment methods and specify a shipping method. For certain types of books, such as comics, users can also choose to read them online.

[0040] Furthermore, if a user wishes to gift a book they have selected to someone else, the device receives the gifting information from the user and sends it to the server. Based on this information, the process for properly sending the gift is completed.

[0041] For example, if a user searches using the keywords "adventure," "dragon," and "friendship," the server associates these keywords and lists books related to "stories of dragons and adventure" from this database. Based on the results, the user can select the book "Dragonheart Story" and proceed with the purchase. If necessary, they can also send this book as an electronic gift to a friend.

[0042] In this way, the system of the present invention helps users intuitively search for, select, and purchase books.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The user uses their terminal to open the system's search interface. Even if they don't know the title or author, the user enters any abstract keywords, genres, or information related to some of the book's content that comes to mind.

[0046] Step 2:

[0047] The terminal formats the information entered by the user appropriately and sends it to the server. This information includes abstract keywords and categories.

[0048] Step 3:

[0049] The server analyzes the received keywords. This analysis utilizes natural language processing, supplying the keywords as input data to a generative model, which then generates queries to search for highly relevant books.

[0050] Step 4:

[0051] The server searches the database and generates a list of relevant book candidates. This list includes the book that best matches the user's search criteria.

[0052] Step 5:

[0053] The server sends the generated book list to the terminal. The terminal receives it and displays it in the user interface.

[0054] Step 6:

[0055] Users can select a book of interest from a list of books displayed on their device. Detailed information about the selected book is then displayed in the user interface.

[0056] Step 7:

[0057] If a user wishes to purchase a book, the device will present purchase options. These options include payment methods and shipping options.

[0058] Step 8:

[0059] The user selects their preferred payment method and confirms the purchase. The terminal processes this information and initiates the payment process.

[0060] Step 9:

[0061] If a user wants to give a book as a gift, the device will provide a field for entering gift information and prompt the user to enter the necessary details.

[0062] Step 10:

[0063] The device sends gift information to the server. Based on this information, the server completes the process of sending the gift to the designated recipient.

[0064] (Example 1)

[0065] 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."

[0066] Many people struggle to search for and obtain books and other information resources without specific information. In this situation, there is a need for a system that allows users to reliably find relevant information resources using only keywords or general descriptions. Furthermore, there is a need for a means to easily share or distribute selected information resources with others.

[0067] 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.

[0068] In this invention, the server includes means for receiving abstract keywords related to information resources, means for searching an information resource database using a generative model and generating a list of related resources, and means for displaying the generated resource list on a user interface and making it selectable by the user. This enables the user to efficiently search for, acquire, and distribute information resources without knowing specific information.

[0069] "Information resources" is a general term for information that users can search, retrieve, and use, such as books and digital content stored in a database.

[0070] An "abstract keyword" is a general word or concept that does not include specific names or details, but is used to characterize the information in question.

[0071] A "generative model" is an algorithm or method for searching an information resource database using received keywords and extracting relevant information.

[0072] The "related resources list" is a list of highly relevant information resources selected by the generative model based on abstract keywords entered by the user.

[0073] A "user interface" is a visual and operational means that presents a generated list of resources to the user, making it easier for them to select and manipulate them.

[0074] "Acquisition options" refer to the choices of methods and procedures available to the user to obtain the information resources they have selected.

[0075] "Distribution" refers to the process of sharing or handing over selected information resources to others, and includes the exchange of information necessary in this process.

[0076] The system of the present invention enables users to efficiently search for and acquire information resources even without possessing specific information. The following describes embodiments for carrying out the present invention.

[0077] First, the user accesses the search system using a terminal. The terminal's interface allows the user to input abstract keywords or related concepts, even if the title or details of the information they are looking for are not clear. This input serves as the starting point for the system.

[0078] The terminal sends keywords entered by the user to the server. This server has high processing power and uses a generative AI model to analyze the received keywords. This model employs various natural language processing techniques to extract highly relevant resources from the information resource database.

[0079] For example, when a user enters keywords such as "adventure," "dragon," and "friendship," the server uses these as a prompt to instruct the AI ​​model to "find books about adventure and friendship." Based on this prompt, the server creates a list of relevant books from its database.

[0080] The server sends the generated list to the terminal. The terminal presents this list to the user through a user interface. The user can select resources that suit their interests from the list of information resources displayed in a visually easy-to-understand format.

[0081] Once the user selects a specific information resource, the device displays detailed information about that resource and provides acquisition options for the user to choose from. Multiple payment and delivery methods are presented, and the acquisition process proceeds quickly based on the user's selection.

[0082] Furthermore, if a user wishes to distribute selected information resources to others, the device collects additional information necessary for distribution and sends it to the server. This allows the server to arrange distribution in the appropriate format to the specified recipient. For example, when sending an e-book to others, an email link or download option may be used.

[0083] In this way, the system allows users to intuitively and easily search for information resources and efficiently acquire and distribute them.

[0084] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0085] Step 1:

[0086] The user accesses the terminal's search interface and enters abstract keywords that characterize the information they are looking for. Examples of these keywords include "adventure," "dragon," and "friendship." The terminal then sends this input as a digital signal to the server.

[0087] Step 2:

[0088] The server utilizes natural language processing techniques to analyze keywords received from the terminal. This analysis process extracts related concepts from the keywords and generates prompt sentences. For example, based on the received keywords, it might generate a prompt sentence such as "Find books about adventure and friendship."

[0089] Step 3:

[0090] The server accesses the generating AI model via the generated prompt text and searches the information resource database. Here, the AI ​​model extracts information related to the prompt text and uses advanced data analysis techniques to identify highly relevant information resources. As output, the server constructs a list of relevant books.

[0091] Step 4:

[0092] The server sends the compiled book list to the terminal. The terminal receives the book list and displays it in a visually organized format on the user interface. The user can then select books of interest from this list.

[0093] Step 5:

[0094] For the book selected by the user, the terminal displays detailed information and acquisition options. Based on the entered selection information, the terminal then presents the necessary payment methods and delivery options for the acquisition process.

[0095] Step 6:

[0096] When a user decides to distribute a book they have acquired to others, the device receives additional distribution information and sends it to the server. Based on this information, the server selects the appropriate distribution method and completes the process of distributing the information resources to the designated recipients.

[0097] (Application Example 1)

[0098] 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."

[0099] In today's world, users are required to search for and retrieve specific books or products from a vast amount of information. However, if the title or author is unclear, traditional search systems make it difficult to access the desired information. Furthermore, when choosing a gift for a friend, intuitively selecting relevant books presents a challenge. Additionally, users demand convenient payment methods and instant online retrieval, but traditional systems fail to adequately address these needs.

[0100] 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.

[0101] In this invention, the server includes means for receiving general concepts related to books, means for using the received general concepts to search a database using a generative model and generate a set of relevant information, and means for displaying the generated set of information on a user interface and making it selectable by the user. This allows users to intuitively search for, select, and acquire books through ambiguous keywords. Furthermore, by providing online viewing connectivity and multiple payment options, a comprehensive and flexible user experience can be offered.

[0102] A "general concept" refers to abstract information such as keywords or characteristics that users can recall without having specific details.

[0103] A "generative model" is an artificial intelligence computational method used to analyze input data and generate relevant results.

[0104] An "information set" is a list of relevant data obtained based on search and generative models.

[0105] A "user interface" is a screen or interface that provides a means of display and input for a user to interact with a system.

[0106] A "means of making selection possible" refers to a function that allows the user to select any item from the displayed information.

[0107] "Acquisition options" refer to the specific methods or procedures that users can choose to receive information.

[0108] "Online viewing connection" refers to a communication method via the internet that makes selected information instantly available in digital format.

[0109] "Payment options" refer to multiple payment methods that users can use to pay for the information they select.

[0110] "Natural language processing technology" refers to the technology used by computers to understand and analyze human language.

[0111] "Prompting" means inputting instructions for interpretation and processing into a generative model.

[0112] "Prioritizing relevant information" is the process of determining the order in which to display or select information based on its appropriateness and importance among multiple pieces of information.

[0113] The system that implements this application primarily consists of a user terminal and a server. The user terminal can be a smartphone or a computer, while the server houses the generative AI model and database.

[0114] The process begins with the user entering general concepts or keywords on their terminal. This input is then sent to the server. The server uses natural language processing technology to analyze the entered keywords. The analyzed information is then provided as a prompt to a generative AI model, such as OpenAI's GPT model. This process generates a collection of highly relevant information from the database.

[0115] The server sends the generated information set to the user's terminal. On the user's terminal, the generated information set is displayed in the user interface, allowing the user to select it. Furthermore, acquisition and payment options for the selected information are also displayed on the terminal. If the selected information is electronically distributed, an online viewing connection is provided, allowing the user to acquire the information using their preferred method.

[0116] As a concrete example, if a user inputs general concepts such as "space travel," "robots," and "friendship," the server analyzes this information and lists related books. An example of a prompt given to the generating AI model is: "Please list books related to the following keywords: 'space travel,' 'robots,' and 'friendship.' Please provide the titles and a brief description of the related books."

[0117] This system allows users to easily access the information they desire and enjoy a variety of acquisition and payment methods. As a result, users can search, select, and acquire the information they need more intuitively and efficiently.

[0118] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0119] Step 1:

[0120] The user enters general concepts or keywords into the terminal. The entered keywords are sent to the server through the user interface. At this point, the input data is text containing ambiguous keywords and characteristics.

[0121] Step 2:

[0122] The server begins analyzing the received keywords. Using natural language processing techniques, it tokenizes the input text and performs semantic analysis. It converts the input keywords into a format recognizable by the generative model. This analysis result then serves as a prompt for the subsequent generative model.

[0123] Step 3:

[0124] The server sends the analyzed information as a prompt to the generative AI model. The generative AI model receives the prompt and generates the relevant information. This process involves extracting information from databases and listing relevant literature. The output data is a collection of information including relevant book titles and summaries.

[0125] Step 4:

[0126] The generated information set is sent from the server to the user's terminal. The terminal displays this information in its user interface, allowing the user to select items of their choice. The output data is a list of selectable content. Through this operation, the user can choose books of interest.

[0127] Step 5:

[0128] When a user selects a specific book, the device displays acquisition and payment options for that book. The user can then choose from the displayed options to acquire the book, such as purchasing or online viewing. The final output indicates that the book acquisition process is complete.

[0129] Step 6:

[0130] Based on the user's chosen method of acquisition, the books are distributed. The device either begins online viewing via a link provided by the server or arranges for the delivery of a physical book. This allows the user to access the selected information in real time.

[0131] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0132] This invention provides more personalized book recommendations by combining a system that allows users to easily search, select, and purchase related books using abstract keywords, even without knowing the title or author's name, with an emotion engine that recognizes the user's emotions.

[0133] First, the user accesses the system using their device and enters abstract keywords, genres, or a partial synopsis into the search screen. At this point, the emotion engine is activated and analyzes the user's emotions using information such as their input, facial expressions, and tone of voice.

[0134] The terminal sends the data entered by the user and the emotional information recognized by the emotion engine to the server. The server uses this information to search for relevant books in the book database using a generative model and generates a list of books that take the user's emotional state into account.

[0135] The server sends the created book list to the terminal, which then displays it in the user interface. Content that matches the user's mood is prioritized, allowing the user to quickly find books that suit their interests and mood.

[0136] When a user selects a book, the device presents purchase options for that book. Here too, the emotion engine is at work, dynamically customizing the purchase process according to the user's emotional state. Furthermore, in the case of gifts, the emotion engine is used to suggest appropriate messages.

[0137] For example, if a user enters keywords such as "forest," "calm," and "self-improvement" while expressing feelings like "sad" or "wanting to relax," the emotion engine analyzes this information and prioritizes suggesting books that uplift the mood and provide a sense of security. Based on this information, the system lists books such as "The Benefits of Forest Bathing" and "A Quiet Journey to Understand Yourself" and presents them to the user. This feature makes it easy for users to find books that better suit their current mood.

[0138] Thus, by incorporating an emotion engine, the system of the present invention goes beyond mere information provision to offer a sophisticated book recommendation and purchasing experience that resonates with the user's emotions.

[0139] The following describes the processing flow.

[0140] Step 1:

[0141] The user accesses the system through their terminal and prepares to start a search on the search screen. The user enters keywords, genres, and a partial synopsis to form a search query.

[0142] Step 2:

[0143] The device passes the input information to the emotion engine. The emotion engine determines the user's emotions by analyzing the trends of keywords entered by the user, facial expressions from the device's camera, or, if voice input is available, the tone of voice.

[0144] Step 3:

[0145] The device sends the analyzed sentiment information to the server. The server receives this information and prepares it to be used as a query to search for books.

[0146] Step 4:

[0147] The server searches the book database using a generative model that incorporates emotional information. This search uses an algorithm that prioritizes listing books that correspond to the user's emotions.

[0148] Step 5:

[0149] The server sends the generated book list to the terminal. The terminal receives it, displays it in the user interface, and makes it easy for the user to browse.

[0150] Step 6:

[0151] Users select books of interest from a list displayed on their device. Because the display is emotionally responsive, the selection is designed to easily align with the user's emotions.

[0152] Step 7:

[0153] The device displays purchase options for the selected book. These options are customized based on the user's mood; for example, they might present information about relaxing promotions.

[0154] Step 8:

[0155] The user selects purchase options and payment methods. The device processes this information and prepares to process the payment.

[0156] Step 9:

[0157] If a user wants to send a book as a gift, the device provides a message input field for the gift. The emotion engine then suggests a message appropriate for the gift.

[0158] Step 10:

[0159] The device sends information about the gift to the server. The server then uses that information to complete the process so that the gift is delivered successfully.

[0160] (Example 2)

[0161] 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".

[0162] In today's world, the sheer volume of information makes it difficult to find the books one needs, and it's also challenging to provide recommendations that cater to individual emotions and interests. Conventional systems fail to consider emotional information, making it difficult to achieve efficient and personalized recommendations.

[0163] 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.

[0164] In this invention, the server includes means for receiving abstract information related to books using an information processing device, means for analyzing an individual's emotions from the received information using an emotion analysis device, and means for searching an information set using a generation algorithm based on the analysis results and the received information to generate a list of highly relevant information. This enables efficient information retrieval that takes into account the individual's emotional state and the presentation of personalized information based on that retrieval.

[0165] An "information processing device" is a collection of computers and related hardware used to receive, analyze, and process information.

[0166] An "emotion analysis device" is a combination of software and hardware used to identify an individual's emotions from their facial expressions, voice, text, etc.

[0167] A "generative algorithm" is a mathematical model used to generate new data based on predetermined rules and computational procedures.

[0168] An "information set" is a collection of diverse information recorded in a database or data store.

[0169] A "user interface" refers to the components, including screens and input devices, that allow a user to interact with a digital system.

[0170] "Payment options" refer to the various payment methods available when paying for a purchase or service.

[0171] This invention provides a method for facilitating the rapid retrieval, selection, and acquisition of relevant information using an information processing system, with the aim of enabling personalized information presentation that takes into account the user's emotional state.

[0172] First, the user accesses the information processing system using a terminal. A search screen is displayed on the terminal, where the user enters keywords, genres, and some related information to specify their intentions. At this time, the sentiment analysis device on the terminal operates, simultaneously analyzing the user's facial expressions, voice tone, and input text. This sentiment analysis may utilize, for example, sentiment recognition software or voice analysis hardware.

[0173] The terminal sends this input information and emotional data to the server. The server utilizes a generative algorithm to search for highly relevant information from the data set based on the received data. In this process, a general-purpose artificial intelligence engine is incorporated as the generative model. The system on the server quickly extracts the relevant information, lists it, and sorts it by priority. This is to ensure that content reflecting a specific emotional state is presented at the top.

[0174] The generated list is returned to the terminal and displayed through the user interface. The user can select information of interest from this list. Based on the selection, the terminal presents the user with options for retrieving the information and guides them through the retrieval process.

[0175] Here's a concrete example. When a user searches using keywords and emotions like "calm" and "self-improvement," the system prioritizes displaying information such as "tips for calming your mind." An example of a prompt to input into the generating AI model would be, "The user is currently feeling calm. Please suggest self-improvement-related information that fits this calm feeling." This allows the user to efficiently obtain the information they desire.

[0176] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0177] Step 1:

[0178] The user accesses the information processing system using a terminal. A search screen is displayed on the terminal, where the user enters abstract keywords, genres, or parts of a scenario related to their interests and intentions. The entered data is stored on the terminal as basic search information.

[0179] Step 2:

[0180] The terminal activates an emotion analysis device and detects the user's facial expressions and voice tone. This information is input into an emotion analysis program, which analyzes the user's emotional state. The terminal temporarily stores the emotional data obtained from this analysis so that it can be used in subsequent information retrieval.

[0181] Step 3:

[0182] The terminal sends the entered keywords and acquired sentiment data to the server. The server uses a generative AI model to search for highly relevant content from the information set. Specifically, it inputs the received keywords and sentiment states into the generative model, forms a prompt, and performs a database search. As output, a list of related information linked to the sentiment is generated.

[0183] Step 4:

[0184] The server creates a list and sends it to the terminal, prioritizing the information. The terminal displays the received list of information in the user interface and formats it into an easy-to-understand format. The user can then select the information of interest from this list and use it according to their search purpose.

[0185] Step 5:

[0186] When the user selects information of interest, the device displays details of the information and presents acquisition options (e.g., purchase or download). This process again utilizes sentiment data to present personalized messages and choices. Based on the selection, the device navigates the acquisition process.

[0187] (Application Example 2)

[0188] 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".

[0189] Existing book search and purchase systems fail to adequately consider users' abstract needs and emotional states, resulting in limited personalized book recommendations. Furthermore, they lack a dynamic purchasing experience based on user emotions. This creates a challenge for users, making it difficult to smoothly select and purchase books that align with their emotional state.

[0190] 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.

[0191] In this invention, the server includes means for receiving abstract keywords related to books and the user's emotional state; means for using the received keywords and emotional state to search an information base using a generative model and generate a list of relevant books; and means for acquiring biometric information from the user's external device and analyzing their emotions. This enables a personalized book recommendation and purchase experience that is tailored to the user's emotions.

[0192] "Abstract keywords related to a book" are general words or phrases that express concepts, themes, or emotions, without including specific information about the book's title or author.

[0193] "User's emotional state" refers to the psychological and emotional circumstances a user exhibits when purchasing a book, and it influences the user's interest and willingness to buy.

[0194] A "generative model" refers to a computational method for deriving relevant information based on input data, and uses specific algorithms to perform predictions and recommendations.

[0195] An "information base" is a database that stores information about a variety of books, and it serves as the foundation for searching and making recommendations.

[0196] "External devices" refer to smart devices, sensors, etc., used to collect the user's biometric information, and function as an interface with the user.

[0197] "Biometric information" refers to data about the user's physical responses, such as heart rate, voice tone, and facial expressions, and serves as the basis for analyzing emotions and health status.

[0198] A system implementing this invention mainly consists of a server, a user terminal (such as smart glasses or a smartphone), and an external device (a device for acquiring biometric information).

[0199] The server receives abstract keywords related to books and the user's emotional state, and uses a generative AI model based on this information to generate a list of relevant books from the information base. In this process, the server uses a specific algorithm (e.g., OpenAI GPT) as the generative model. The resulting book list is then prioritized based on the user's emotional state.

[0200] The user terminal displays the generated book list to the user and prompts them to make a selection in a format that matches their emotions. Smart glasses can analyze the user's gaze and facial expressions in real time and provide a user interface that reflects the user's emotions. This analysis utilizes facial expression analysis libraries (e.g., OpenCV) and speech analysis libraries (e.g., Google® Cloud Speech-to-Text).

[0201] When a user selects a book, the device facilitates a dynamic purchase process that responds to their emotions. This process also generates a gift message based on the user's emotional state. If the user is seeking a "calm mood," relaxing content is prioritized and recommended.

[0202] As a concrete example, if a user thinks "I want to relax" and enters related keywords, the system will perform a search using the prompt "Recommend the best books for a user seeking content related to relaxation." As a result, the system will present the most suitable books for the user, providing a comfortable purchasing experience.

[0203] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0204] Step 1:

[0205] The user uses a device to input abstract keywords related to the book, along with emotional data through voice or eye-tracking. This connects the device to an emotion engine, which analyzes the user's emotional state based on their facial expressions and tone of voice. The device then sends the input keywords and emotional data to a server.

[0206] Step 2:

[0207] The server generates a prompt sentence based on the received keyword and sentiment data, and sends that prompt sentence to the generating AI model. The generating AI model searches the book database and extracts relevant book lists in order of suitability to the sentiment. This generates an individually adaptive book list that reflects abstract keywords and sentiment.

[0208] Step 3:

[0209] The generated book list is sent from the server to the terminal and displayed on the terminal's user interface. Here, books that match the user's emotional state are prioritized, allowing the user to intuitively select books that fit their emotions. Eye-tracking measures the user's interests, and the display is adjusted accordingly.

[0210] Step 4:

[0211] When a user selects a book, their device sends a purchase request to the server, which then generates a dynamic purchase process tailored to their emotional state. This process includes payment options aligned with the user's emotions and, in the case of a gift, appropriate message suggestions. Finally, after the purchase is complete, the book data is downloaded to the user's device via the e-bookstore.

[0212] Step 5:

[0213] After a user completes a purchase, the device anonymizes the collected emotional and purchase behavior data and feeds it back to the server. The server uses this data to tune the generated AI model and improve the accuracy of future recommendations. This feedback enables further personalization and optimization of the user experience.

[0214] 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.

[0215] 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.

[0216] 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.

[0217] [Second Embodiment]

[0218] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0219] 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.

[0220] 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).

[0221] 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.

[0222] 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.

[0223] 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).

[0224] 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.

[0225] 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.

[0226] 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.

[0227] 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.

[0228] 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.

[0229] 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".

[0230] The system of the present invention provides a function that allows users to easily search for a desired book using abstract keywords, even if they do not know the title or author, and to purchase or give the book as a gift. Embodiments of this system are described below.

[0231] First, the user accesses the system using a terminal and enters keywords, genres, or a partial synopsis on the search screen, even if the title or author is unknown. The terminal then sends this input to the server.

[0232] The server analyzes the received keywords and uses a generative model to search for relevant books in the book database. This generative model has the function of extracting information based on the input keywords and building a list of highly relevant books.

[0233] Next, the server sends the generated book list to the terminal, which displays it in the user interface. The user can then easily select books of interest from this list.

[0234] When a user selects a specific book, the device displays purchase options for that book and guides them through the purchase process. Users can choose from multiple payment methods and specify a shipping method. For certain types of books, such as comics, users can also choose to read them online.

[0235] Furthermore, if a user wishes to gift a book they have selected to someone else, the device receives the gifting information from the user and sends it to the server. Based on this information, the process for properly sending the gift is completed.

[0236] For example, if a user searches using the keywords "adventure," "dragon," and "friendship," the server associates these keywords and lists books related to "stories of dragons and adventure" from this database. Based on the results, the user can select the book "Dragonheart Story" and proceed with the purchase. If necessary, they can also send this book as an electronic gift to a friend.

[0237] In this way, the system of the present invention helps users intuitively search for, select, and purchase books.

[0238] The following describes the processing flow.

[0239] Step 1:

[0240] The user uses their terminal to open the system's search interface. Even if they don't know the title or author, the user enters any abstract keywords, genres, or information related to some of the book's content that comes to mind.

[0241] Step 2:

[0242] The terminal formats the information entered by the user appropriately and sends it to the server. This information includes abstract keywords and categories.

[0243] Step 3:

[0244] The server analyzes the received keywords. This analysis utilizes natural language processing, supplying the keywords as input data to a generative model, which then generates queries to search for highly relevant books.

[0245] Step 4:

[0246] The server searches the database and generates a list of relevant book candidates. This list includes the book that best matches the user's search criteria.

[0247] Step 5:

[0248] The server sends the generated book list to the terminal. The terminal receives it and displays it in the user interface.

[0249] Step 6:

[0250] Users can select a book of interest from a list of books displayed on their device. Detailed information about the selected book is then displayed in the user interface.

[0251] Step 7:

[0252] If a user wishes to purchase a book, the device will present purchase options. These options include payment methods and shipping options.

[0253] Step 8:

[0254] The user selects their preferred payment method and confirms the purchase. The terminal processes this information and initiates the payment process.

[0255] Step 9:

[0256] If a user wants to give a book as a gift, the device will provide a field for entering gift information and prompt the user to enter the necessary details.

[0257] Step 10:

[0258] The device sends gift information to the server. Based on this information, the server completes the process of sending the gift to the designated recipient.

[0259] (Example 1)

[0260] 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."

[0261] Many people struggle to search for and obtain books and other information resources without specific information. In this situation, there is a need for a system that allows users to reliably find relevant information resources using only keywords or general descriptions. Furthermore, there is a need for a means to easily share or distribute selected information resources with others.

[0262] 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.

[0263] In this invention, the server includes means for receiving abstract keywords related to information resources, means for searching an information resource database using a generative model and generating a list of related resources, and means for displaying the generated resource list on a user interface and making it selectable by the user. This enables the user to efficiently search for, acquire, and distribute information resources without knowing specific information.

[0264] "Information resources" is a general term for information that users can search, retrieve, and use, such as books and digital content stored in a database.

[0265] An "abstract keyword" is a general word or concept that does not include specific names or details, but is used to characterize the information in question.

[0266] A "generative model" is an algorithm or method for searching an information resource database using received keywords and extracting relevant information.

[0267] The "related resources list" is a list of highly relevant information resources selected by the generative model based on abstract keywords entered by the user.

[0268] A "user interface" is a visual and operational means that presents a generated list of resources to the user, making it easier for them to select and manipulate them.

[0269] "Acquisition options" refer to the choices of methods and procedures available to the user to obtain the information resources they have selected.

[0270] "Distribution" refers to the process of sharing or handing over selected information resources to others, and includes the exchange of information necessary in this process.

[0271] The system of the present invention enables users to efficiently search for and acquire information resources even without possessing specific information. The following describes embodiments for carrying out the present invention.

[0272] First, the user accesses the search system using a terminal. The terminal's interface allows the user to input abstract keywords or related concepts, even if the title or details of the information they are looking for are not clear. This input serves as the starting point for the system.

[0273] The terminal sends keywords entered by the user to the server. This server has high processing power and uses a generative AI model to analyze the received keywords. This model employs various natural language processing techniques to extract highly relevant resources from the information resource database.

[0274] For example, when a user enters keywords such as "adventure," "dragon," and "friendship," the server uses these as a prompt to instruct the AI ​​model to "find books about adventure and friendship." Based on this prompt, the server creates a list of relevant books from its database.

[0275] The server sends the generated list to the terminal. The terminal presents this list to the user through a user interface. The user can select resources that suit their interests from the list of information resources displayed in a visually easy-to-understand format.

[0276] Once the user selects a specific information resource, the device displays detailed information about that resource and provides acquisition options for the user to choose from. Multiple payment and delivery methods are presented, and the acquisition process proceeds quickly based on the user's selection.

[0277] Also, when the user wants to distribute the information resources they have selected to others, the terminal additionally collects the information necessary for distribution and sends it to the server. As a result, the server can arrange for distribution in an appropriate format to the specified destination. For example, when sending to others as an e-book, a link format or download option via email is used.

[0278] In this way, it has become a system where the user can intuitively and easily search for information resources, and efficiently acquire and distribute them.

[0279] The flow of the specific process in Example 1 will be described using FIG. 11.

[0280] Step 1:

[0281] The user accesses the search interface of the terminal and enters abstract keywords that characterize the information target. The inputs are things like "adventure", "dragon", "friendship", etc. The terminal sends this input to the server as a digital signal.

[0282] Step 2:

[0283] The server utilizes natural language processing technology to analyze the keywords received from the terminal. In this analysis process, related concepts are extracted from the keywords, and a prompt sentence is generated. For example, based on the received keywords, a prompt sentence like "Search for books related to adventure and friendship" is generated.

[0284] Step 3:

[0285] The server accesses the generative AI model via the generated prompt sentence and searches the information resource database. Here, the AI model extracts information related to the prompt sentence and uses advanced data analysis techniques to identify highly relevant information resources. As an output, the server constructs a list of related books.

[0286] Step 4:

[0287] The server sends the compiled book list to the terminal. The terminal receives the book list and displays it in a visually organized format on the user interface. The user can then select books of interest from this list.

[0288] Step 5:

[0289] For the book selected by the user, the terminal displays detailed information and acquisition options. Based on the entered selection information, the terminal then presents the necessary payment methods and delivery options for the acquisition process.

[0290] Step 6:

[0291] When a user decides to distribute a book they have acquired to others, the device receives additional distribution information and sends it to the server. Based on this information, the server selects the appropriate distribution method and completes the process of distributing the information resources to the designated recipients.

[0292] (Application Example 1)

[0293] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0294] In today's world, users are required to search for and retrieve specific books or products from a vast amount of information. However, if the title or author is unclear, traditional search systems make it difficult to access the desired information. Furthermore, when choosing a gift for a friend, intuitively selecting relevant books presents a challenge. Additionally, users demand convenient payment methods and instant online retrieval, but traditional systems fail to adequately address these needs.

[0295] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0296] In this invention, the server includes means for receiving general concepts related to books, means for using the received general concepts to search a database using a generative model and generate a set of relevant information, and means for displaying the generated set of information on a user interface and making it selectable by the user. This allows users to intuitively search for, select, and acquire books through ambiguous keywords. Furthermore, by providing online viewing connectivity and multiple payment options, a comprehensive and flexible user experience can be offered.

[0297] A "general concept" refers to abstract information such as keywords or characteristics that users can recall without having specific details.

[0298] A "generative model" is an artificial intelligence computational method used to analyze input data and generate relevant results.

[0299] An "information set" is a list of relevant data obtained based on search and generative models.

[0300] A "user interface" is a screen or interface that provides a means of display and input for a user to interact with a system.

[0301] A "means of making selection possible" refers to a function that allows the user to select any item from the displayed information.

[0302] "Acquisition options" refer to the specific methods or procedures that users can choose to receive information.

[0303] "Online viewing connection" refers to a communication method via the internet that makes selected information instantly available in digital format.

[0304] "Payment options" refer to multiple payment methods that users can use to pay for the information they select.

[0305] "Natural language processing technology" is a technology used by computers to understand and analyze human language.

[0306] "Providing a prompt" means inputting an instruction text for interpretation and processing to a generation model.

[0307] "Determining the priority order of relevant information" is a process of determining the order of display or selection based on the appropriateness and importance among multiple pieces of information.

[0308] The system that realizes this application example is mainly composed of a user terminal and a server. A smartphone or a computer is used as the user terminal, and a generation AI model and a database are arranged in the server.

[0309] On the user terminal, the user starts by inputting general concepts and keywords. This input is sent to the server by the terminal. The input keywords are analyzed by the natural language processing technology implemented on the server side. The analyzed information is given as a prompt to a generation AI model, such as OpenAI's GPT model. As a result, a highly relevant information set is created from the database.

[0310] The server sends the generated information set to the user terminal. On the user terminal, the generated information set is displayed on the user interface and becomes selectable by the user. Furthermore, acquisition options and payment options for the selected information are also displayed on the terminal. If the selected information is electronically distributable, an online viewing connection is prepared, and the user can obtain the information in any way.

[0311] As a concrete example, if a user inputs general concepts such as "space travel," "robots," and "friendship," the server analyzes this information and lists related books. An example of a prompt given to the generating AI model is: "Please list books related to the following keywords: 'space travel,' 'robots,' and 'friendship.' Please provide the titles and a brief description of the related books."

[0312] This system allows users to easily access the information they desire and enjoy a variety of acquisition and payment methods. As a result, users can search, select, and acquire the information they need more intuitively and efficiently.

[0313] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0314] Step 1:

[0315] The user enters general concepts or keywords into the terminal. The entered keywords are sent to the server through the user interface. At this point, the input data is text containing ambiguous keywords and characteristics.

[0316] Step 2:

[0317] The server begins analyzing the received keywords. Using natural language processing techniques, it tokenizes the input text and performs semantic analysis. It converts the input keywords into a format recognizable by the generative model. This analysis result then serves as a prompt for the subsequent generative model.

[0318] Step 3:

[0319] The server sends the analyzed information as a prompt to the generative AI model. The generative AI model receives the prompt and generates the relevant information. This process involves extracting information from databases and listing relevant literature. The output data is a collection of information including relevant book titles and summaries.

[0320] Step 4:

[0321] The generated information set is sent from the server to the user's terminal. The terminal displays this information in its user interface, allowing the user to select items of their choice. The output data is a list of selectable content. Through this operation, the user can choose books of interest.

[0322] Step 5:

[0323] When a user selects a specific book, the device displays acquisition and payment options for that book. The user can then choose from the displayed options to acquire the book, such as purchasing or online viewing. The final output indicates that the book acquisition process is complete.

[0324] Step 6:

[0325] Based on the user's chosen method of acquisition, the books are distributed. The device either begins online viewing via a link provided by the server or arranges for the delivery of a physical book. This allows the user to access the selected information in real time.

[0326] 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.

[0327] This invention provides more personalized book recommendations by combining a system that allows users to easily search, select, and purchase related books using abstract keywords, even without knowing the title or author's name, with an emotion engine that recognizes the user's emotions.

[0328] First, the user accesses the system using their device and enters abstract keywords, genres, or a partial synopsis into the search screen. At this point, the emotion engine is activated and analyzes the user's emotions using information such as their input, facial expressions, and tone of voice.

[0329] The terminal sends the data entered by the user and the emotional information recognized by the emotion engine to the server. The server uses this information to search for relevant books in the book database using a generative model and generates a list of books that take the user's emotional state into account.

[0330] The server sends the created book list to the terminal, which then displays it in the user interface. Content that matches the user's mood is prioritized, allowing the user to quickly find books that suit their interests and mood.

[0331] When a user selects a book, the device presents purchase options for that book. Here too, the emotion engine is at work, dynamically customizing the purchase process according to the user's emotional state. Furthermore, in the case of gifts, the emotion engine is used to suggest appropriate messages.

[0332] For example, if a user enters keywords such as "forest," "calm," and "self-improvement" while expressing feelings like "sad" or "wanting to relax," the emotion engine analyzes this information and prioritizes suggesting books that uplift the mood and provide a sense of security. Based on this information, the system lists books such as "The Benefits of Forest Bathing" and "A Quiet Journey to Understand Yourself" and presents them to the user. This feature makes it easy for users to find books that better suit their current mood.

[0333] Thus, by incorporating an emotion engine, the system of the present invention goes beyond mere information provision to offer a sophisticated book recommendation and purchasing experience that resonates with the user's emotions.

[0334] The following describes the processing flow.

[0335] Step 1:

[0336] The user accesses the system through their terminal and prepares to start a search on the search screen. The user enters keywords, genres, and a partial synopsis to form a search query.

[0337] Step 2:

[0338] The device passes the input information to the emotion engine. The emotion engine determines the user's emotions by analyzing the trends of keywords entered by the user, facial expressions from the device's camera, or, if voice input is available, the tone of voice.

[0339] Step 3:

[0340] The device sends the analyzed sentiment information to the server. The server receives this information and prepares it to be used as a query to search for books.

[0341] Step 4:

[0342] The server searches the book database using a generative model that incorporates emotional information. This search uses an algorithm that prioritizes listing books that correspond to the user's emotions.

[0343] Step 5:

[0344] The server sends the generated book list to the terminal. The terminal receives it, displays it in the user interface, and makes it easy for the user to browse.

[0345] Step 6:

[0346] Users select books of interest from a list displayed on their device. Because the display is emotionally responsive, the selection is designed to easily align with the user's emotions.

[0347] Step 7:

[0348] The device displays purchase options for the selected book. These options are customized based on the user's mood; for example, they might present information about relaxing promotions.

[0349] Step 8:

[0350] The user selects purchase options and payment methods. The device processes this information and prepares to process the payment.

[0351] Step 9:

[0352] If a user wants to send a book as a gift, the device provides a message input field for the gift. The emotion engine then suggests a message appropriate for the gift.

[0353] Step 10:

[0354] The device sends information about the gift to the server. The server then uses that information to complete the process so that the gift is delivered successfully.

[0355] (Example 2)

[0356] 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".

[0357] In today's world, the sheer volume of information makes it difficult to find the books one needs, and it's also challenging to provide recommendations that cater to individual emotions and interests. Conventional systems fail to consider emotional information, making it difficult to achieve efficient and personalized recommendations.

[0358] 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.

[0359] In this invention, the server includes means for receiving abstract information related to books using an information processing device, means for analyzing an individual's emotions from the received information using an emotion analysis device, and means for searching an information set using a generation algorithm based on the analysis results and the received information to generate a list of highly relevant information. This enables efficient information retrieval that takes into account the individual's emotional state and the presentation of personalized information based on that retrieval.

[0360] An "information processing device" is a collection of computers and related hardware used to receive, analyze, and process information.

[0361] An "emotion analysis device" is a combination of software and hardware used to identify an individual's emotions from their facial expressions, voice, text, etc.

[0362] A "generative algorithm" is a mathematical model used to generate new data based on predetermined rules and computational procedures.

[0363] An "information set" is a collection of diverse information recorded in a database or data store.

[0364] A "user interface" refers to the components, including screens and input devices, that allow a user to interact with a digital system.

[0365] "Payment options" refer to the various payment methods available when paying for a purchase or service.

[0366] This invention provides a method for facilitating the rapid retrieval, selection, and acquisition of relevant information using an information processing system, with the aim of enabling personalized information presentation that takes into account the user's emotional state.

[0367] First, the user accesses the information processing system using a terminal. A search screen is displayed on the terminal, where the user enters keywords, genres, and some related information to specify their intentions. At this time, the sentiment analysis device on the terminal operates, simultaneously analyzing the user's facial expressions, voice tone, and input text. This sentiment analysis may utilize, for example, sentiment recognition software or voice analysis hardware.

[0368] The terminal sends this input information and emotional data to the server. The server utilizes a generative algorithm to search for highly relevant information from the data set based on the received data. In this process, a general-purpose artificial intelligence engine is incorporated as the generative model. The system on the server quickly extracts the relevant information, lists it, and sorts it by priority. This is to ensure that content reflecting a specific emotional state is presented at the top.

[0369] The generated list is returned to the terminal and displayed through the user interface. The user can select information of interest from this list. Based on the selection, the terminal presents the user with options for retrieving the information and guides them through the retrieval process.

[0370] Here's a concrete example. When a user searches using keywords and emotions like "calm" and "self-improvement," the system prioritizes displaying information such as "tips for calming your mind." An example of a prompt to input into the generating AI model would be, "The user is currently feeling calm. Please suggest self-improvement-related information that fits this calm feeling." This allows the user to efficiently obtain the information they desire.

[0371] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0372] Step 1:

[0373] The user accesses the information processing system using a terminal. A search screen is displayed on the terminal, where the user enters abstract keywords, genres, or parts of a scenario related to their interests and intentions. The entered data is stored on the terminal as basic search information.

[0374] Step 2:

[0375] The terminal activates an emotion analysis device and detects the user's facial expressions and voice tone. This information is input into an emotion analysis program, which analyzes the user's emotional state. The terminal temporarily stores the emotional data obtained from this analysis so that it can be used in subsequent information retrieval.

[0376] Step 3:

[0377] The terminal sends the entered keywords and acquired sentiment data to the server. The server uses a generative AI model to search for highly relevant content from the information set. Specifically, it inputs the received keywords and sentiment states into the generative model, forms a prompt, and performs a database search. As output, a list of related information linked to the sentiment is generated.

[0378] Step 4:

[0379] The server creates a list and sends it to the terminal, prioritizing the information. The terminal displays the received list of information in the user interface and formats it into an easy-to-understand format. The user can then select the information of interest from this list and use it according to their search purpose.

[0380] Step 5:

[0381] When the user selects information of interest, the device displays details of the information and presents acquisition options (e.g., purchase or download). This process again utilizes sentiment data to present personalized messages and choices. Based on the selection, the device navigates the acquisition process.

[0382] (Application Example 2)

[0383] 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."

[0384] Existing book search and purchase systems fail to adequately consider users' abstract needs and emotional states, resulting in limited personalized book recommendations. Furthermore, they lack a dynamic purchasing experience based on user emotions. This creates a challenge for users, making it difficult to smoothly select and purchase books that align with their emotional state.

[0385] 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.

[0386] In this invention, the server includes means for receiving abstract keywords related to books and the user's emotional state; means for using the received keywords and emotional state to search an information base using a generative model and generate a list of relevant books; and means for acquiring biometric information from the user's external device and analyzing their emotions. This enables a personalized book recommendation and purchase experience that is tailored to the user's emotions.

[0387] "Abstract keywords related to a book" are general words or phrases that express concepts, themes, or emotions, without including specific information about the book's title or author.

[0388] "User's emotional state" refers to the psychological and emotional circumstances a user exhibits when purchasing a book, and it influences the user's interest and willingness to buy.

[0389] A "generative model" refers to a computational method for deriving relevant information based on input data, and uses specific algorithms to perform predictions and recommendations.

[0390] An "information base" is a database that stores information about a variety of books, and it serves as the foundation for searching and making recommendations.

[0391] "External devices" refer to smart devices, sensors, etc., used to collect the user's biometric information, and function as an interface with the user.

[0392] "Biometric information" refers to data about the user's physical responses, such as heart rate, voice tone, and facial expressions, and serves as the basis for analyzing emotions and health status.

[0393] A system implementing this invention mainly consists of a server, a user terminal (such as smart glasses or a smartphone), and an external device (a device for acquiring biometric information).

[0394] The server receives abstract keywords related to books and the user's emotional state, and uses a generative AI model based on this information to generate a list of relevant books from the information base. In this process, the server uses a specific algorithm (e.g., OpenAI GPT) as the generative model. The resulting book list is then prioritized based on the user's emotional state.

[0395] The user terminal displays the generated book list to the user and prompts them to make a selection in a format that matches their emotions. Smart glasses can analyze the user's gaze and facial expressions in real time and provide a user interface that reflects the user's emotions. This analysis utilizes facial expression analysis libraries (e.g., OpenCV) and speech analysis libraries (e.g., Google Cloud Speech-to-Text).

[0396] When a user selects a book, the device facilitates a dynamic purchase process that responds to their emotions. This process also generates a gift message based on the user's emotional state. If the user is seeking a "calm mood," relaxing content is prioritized and recommended.

[0397] As a concrete example, if a user thinks "I want to relax" and enters related keywords, the system will perform a search using the prompt "Recommend the best books for a user seeking content related to relaxation." As a result, the system will present the most suitable books for the user, providing a comfortable purchasing experience.

[0398] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0399] Step 1:

[0400] The user uses a device to input abstract keywords related to the book, along with emotional data through voice or eye-tracking. This connects the device to an emotion engine, which analyzes the user's emotional state based on their facial expressions and tone of voice. The device then sends the input keywords and emotional data to a server.

[0401] Step 2:

[0402] The server generates a prompt sentence based on the received keyword and sentiment data, and sends that prompt sentence to the generating AI model. The generating AI model searches the book database and extracts relevant book lists in order of suitability to the sentiment. This generates an individually adaptive book list that reflects abstract keywords and sentiment.

[0403] Step 3:

[0404] The generated book list is sent from the server to the terminal and displayed on the terminal's user interface. Here, books that match the user's emotional state are prioritized, allowing the user to intuitively select books that fit their emotions. Eye-tracking measures the user's interests, and the display is adjusted accordingly.

[0405] Step 4:

[0406] When a user selects a book, their device sends a purchase request to the server, which then generates a dynamic purchase process tailored to their emotional state. This process includes payment options aligned with the user's emotions and, in the case of a gift, appropriate message suggestions. Finally, after the purchase is complete, the book data is downloaded to the user's device via the e-bookstore.

[0407] Step 5:

[0408] After a user completes a purchase, the device anonymizes the collected emotional and purchase behavior data and feeds it back to the server. The server uses this data to tune the generated AI model and improve the accuracy of future recommendations. This feedback enables further personalization and optimization of the user experience.

[0409] 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.

[0410] 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.

[0411] 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.

[0412] [Third Embodiment]

[0413] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0414] 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.

[0415] 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).

[0416] 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.

[0417] 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.

[0418] 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).

[0419] 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.

[0420] 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.

[0421] 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.

[0422] 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.

[0423] 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.

[0424] 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".

[0425] The system of the present invention provides a function that allows users to easily search for a desired book using abstract keywords, even if they do not know the title or author, and to purchase or give the book as a gift. Embodiments of this system are described below.

[0426] First, the user accesses the system using a terminal and enters keywords, genres, or a partial synopsis on the search screen, even if the title or author is unknown. The terminal then sends this input to the server.

[0427] The server analyzes the received keywords and uses a generative model to search for relevant books in the book database. This generative model has the function of extracting information based on the input keywords and building a list of highly relevant books.

[0428] Next, the server sends the generated book list to the terminal, which displays it in the user interface. The user can then easily select books of interest from this list.

[0429] When a user selects a specific book, the device displays purchase options for that book and guides them through the purchase process. Users can choose from multiple payment methods and specify a shipping method. For certain types of books, such as comics, users can also choose to read them online.

[0430] Furthermore, if a user wishes to gift a book they have selected to someone else, the device receives the gifting information from the user and sends it to the server. Based on this information, the process for properly sending the gift is completed.

[0431] For example, if a user searches using the keywords "adventure," "dragon," and "friendship," the server associates these keywords and lists books related to "stories of dragons and adventure" from this database. Based on the results, the user can select the book "Dragonheart Story" and proceed with the purchase. If necessary, they can also send this book as an electronic gift to a friend.

[0432] In this way, the system of the present invention helps users intuitively search for, select, and purchase books.

[0433] The following describes the processing flow.

[0434] Step 1:

[0435] The user uses their terminal to open the system's search interface. Even if they don't know the title or author, the user enters any abstract keywords, genres, or information related to some of the book's content that comes to mind.

[0436] Step 2:

[0437] The terminal formats the information entered by the user appropriately and sends it to the server. This information includes abstract keywords and categories.

[0438] Step 3:

[0439] The server analyzes the received keywords. This analysis utilizes natural language processing, supplying the keywords as input data to a generative model, which then generates queries to search for highly relevant books.

[0440] Step 4:

[0441] The server searches the database and generates a list of relevant book candidates. This list includes the book that best matches the user's search criteria.

[0442] Step 5:

[0443] The server sends the generated book list to the terminal. The terminal receives it and displays it in the user interface.

[0444] Step 6:

[0445] Users can select a book of interest from a list of books displayed on their device. Detailed information about the selected book is then displayed in the user interface.

[0446] Step 7:

[0447] If a user wishes to purchase a book, the device will present purchase options. These options include payment methods and shipping options.

[0448] Step 8:

[0449] The user selects their preferred payment method and confirms the purchase. The terminal processes this information and initiates the payment process.

[0450] Step 9:

[0451] If a user wants to give a book as a gift, the device will provide a field for entering gift information and prompt the user to enter the necessary details.

[0452] Step 10:

[0453] The device sends gift information to the server. Based on this information, the server completes the process of sending the gift to the designated recipient.

[0454] (Example 1)

[0455] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0456] Many people struggle to search for and obtain books and other information resources without specific information. In this situation, there is a need for a system that allows users to reliably find relevant information resources using only keywords or general descriptions. Furthermore, there is a need for a means to easily share or distribute selected information resources with others.

[0457] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0458] In this invention, the server includes means for receiving abstract keywords related to information resources, means for searching an information resource database using a generative model and generating a list of related resources, and means for displaying the generated resource list on a user interface and making it selectable by the user. This enables the user to efficiently search for, acquire, and distribute information resources without knowing specific information.

[0459] "Information resources" is a general term for information that users can search, retrieve, and use, such as books and digital content stored in a database.

[0460] An "abstract keyword" is a general word or concept that does not include specific names or details, but is used to characterize the information in question.

[0461] A "generative model" is an algorithm or method for searching an information resource database using received keywords and extracting relevant information.

[0462] The "related resources list" is a list of highly relevant information resources selected by the generative model based on abstract keywords entered by the user.

[0463] A "user interface" is a visual and operational means that presents a generated list of resources to the user, making it easier for them to select and manipulate them.

[0464] "Acquisition options" refer to the choices of methods and procedures available to the user to obtain the information resources they have selected.

[0465] "Distribution" refers to the process of sharing or handing over selected information resources to others, and includes the exchange of information necessary in this process.

[0466] The system of the present invention enables users to efficiently search for and acquire information resources even without possessing specific information. The following describes embodiments for carrying out the present invention.

[0467] First, the user accesses the search system using a terminal. The terminal's interface allows the user to input abstract keywords or related concepts, even if the title or details of the information they are looking for are not clear. This input serves as the starting point for the system.

[0468] The terminal sends keywords entered by the user to the server. This server has high processing power and uses a generative AI model to analyze the received keywords. This model employs various natural language processing techniques to extract highly relevant resources from the information resource database.

[0469] For example, when a user enters keywords such as "adventure," "dragon," and "friendship," the server uses these as a prompt to instruct the AI ​​model to "find books about adventure and friendship." Based on this prompt, the server creates a list of relevant books from its database.

[0470] The server sends the generated list to the terminal. The terminal presents this list to the user through a user interface. The user can select resources that suit their interests from the list of information resources displayed in a visually easy-to-understand format.

[0471] Once the user selects a specific information resource, the device displays detailed information about that resource and provides acquisition options for the user to choose from. Multiple payment and delivery methods are presented, and the acquisition process proceeds quickly based on the user's selection.

[0472] Furthermore, if a user wishes to distribute selected information resources to others, the device collects additional information necessary for distribution and sends it to the server. This allows the server to arrange distribution in the appropriate format to the specified recipient. For example, when sending an e-book to others, an email link or download option may be used.

[0473] In this way, the system allows users to intuitively and easily search for information resources and efficiently acquire and distribute them.

[0474] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0475] Step 1:

[0476] The user accesses the terminal's search interface and enters abstract keywords that characterize the information they are looking for. Examples of these keywords include "adventure," "dragon," and "friendship." The terminal then sends this input as a digital signal to the server.

[0477] Step 2:

[0478] The server utilizes natural language processing techniques to analyze keywords received from the terminal. This analysis process extracts related concepts from the keywords and generates prompt sentences. For example, based on the received keywords, it might generate a prompt sentence such as "Find books about adventure and friendship."

[0479] Step 3:

[0480] The server accesses the generating AI model via the generated prompt text and searches the information resource database. Here, the AI ​​model extracts information related to the prompt text and uses advanced data analysis techniques to identify highly relevant information resources. As output, the server constructs a list of relevant books.

[0481] Step 4:

[0482] The server sends the compiled book list to the terminal. The terminal receives the book list and displays it in a visually organized format on the user interface. The user can then select books of interest from this list.

[0483] Step 5:

[0484] For the book selected by the user, the terminal displays detailed information and acquisition options. Based on the entered selection information, the terminal then presents the necessary payment methods and delivery options for the acquisition process.

[0485] Step 6:

[0486] When a user decides to distribute a book they have acquired to others, the device receives additional distribution information and sends it to the server. Based on this information, the server selects the appropriate distribution method and completes the process of distributing the information resources to the designated recipients.

[0487] (Application Example 1)

[0488] 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."

[0489] In today's world, users are required to search for and retrieve specific books or products from a vast amount of information. However, if the title or author is unclear, traditional search systems make it difficult to access the desired information. Furthermore, when choosing a gift for a friend, intuitively selecting relevant books presents a challenge. Additionally, users demand convenient payment methods and instant online retrieval, but traditional systems fail to adequately address these needs.

[0490] 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.

[0491] In this invention, the server includes means for receiving general concepts related to books, means for using the received general concepts to search a database using a generative model and generate a set of relevant information, and means for displaying the generated set of information on a user interface and making it selectable by the user. This allows users to intuitively search for, select, and acquire books through ambiguous keywords. Furthermore, by providing online viewing connectivity and multiple payment options, a comprehensive and flexible user experience can be offered.

[0492] A "general concept" refers to abstract information such as keywords or characteristics that users can recall without having specific details.

[0493] A "generative model" is an artificial intelligence computational method used to analyze input data and generate relevant results.

[0494] An "information set" is a list of relevant data obtained based on search and generative models.

[0495] A "user interface" is a screen or interface that provides a means of display and input for a user to interact with a system.

[0496] A "means of making selection possible" refers to a function that allows the user to select any item from the displayed information.

[0497] "Acquisition options" refer to the specific methods or procedures that users can choose to receive information.

[0498] "Online viewing connection" refers to a communication method via the internet that makes selected information instantly available in digital format.

[0499] "Payment options" refer to multiple payment methods that users can use to pay for the information they select.

[0500] "Natural language processing technology" refers to the technology used by computers to understand and analyze human language.

[0501] "Prompting" means inputting instructions for interpretation and processing into a generative model.

[0502] "Prioritizing relevant information" is the process of determining the order in which to display or select information based on its appropriateness and importance among multiple pieces of information.

[0503] The system that implements this application primarily consists of a user terminal and a server. The user terminal can be a smartphone or a computer, while the server houses the generative AI model and database.

[0504] The process begins with the user entering general concepts or keywords on their terminal. This input is then sent to the server. The server uses natural language processing technology to analyze the entered keywords. The analyzed information is then provided as a prompt to a generative AI model, such as OpenAI's GPT model. This process generates a collection of highly relevant information from the database.

[0505] The server sends the generated information set to the user's terminal. On the user's terminal, the generated information set is displayed in the user interface, allowing the user to select it. Furthermore, acquisition and payment options for the selected information are also displayed on the terminal. If the selected information is electronically distributed, an online viewing connection is provided, allowing the user to acquire the information using their preferred method.

[0506] As a concrete example, if a user inputs general concepts such as "space travel," "robots," and "friendship," the server analyzes this information and lists related books. An example of a prompt given to the generating AI model is: "Please list books related to the following keywords: 'space travel,' 'robots,' and 'friendship.' Please provide the titles and a brief description of the related books."

[0507] This system allows users to easily access the information they desire and enjoy a variety of acquisition and payment methods. As a result, users can search, select, and acquire the information they need more intuitively and efficiently.

[0508] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0509] Step 1:

[0510] The user enters general concepts or keywords into the terminal. The entered keywords are sent to the server through the user interface. At this point, the input data is text containing ambiguous keywords and characteristics.

[0511] Step 2:

[0512] The server begins analyzing the received keywords. Using natural language processing techniques, it tokenizes the input text and performs semantic analysis. It converts the input keywords into a format recognizable by the generative model. This analysis result then serves as a prompt for the subsequent generative model.

[0513] Step 3:

[0514] The server sends the analyzed information as a prompt to the generative AI model. The generative AI model receives the prompt and generates the relevant information. This process involves extracting information from databases and listing relevant literature. The output data is a collection of information including relevant book titles and summaries.

[0515] Step 4:

[0516] The generated information set is sent from the server to the user's terminal. The terminal displays this information in its user interface, allowing the user to select items of their choice. The output data is a list of selectable content. Through this operation, the user can choose books of interest.

[0517] Step 5:

[0518] When a user selects a specific book, the device displays acquisition and payment options for that book. The user can then choose from the displayed options to acquire the book, such as purchasing or online viewing. The final output indicates that the book acquisition process is complete.

[0519] Step 6:

[0520] Based on the user's chosen method of acquisition, the books are distributed. The device either begins online viewing via a link provided by the server or arranges for the delivery of a physical book. This allows the user to access the selected information in real time.

[0521] 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.

[0522] This invention provides more personalized book recommendations by combining a system that allows users to easily search, select, and purchase related books using abstract keywords, even without knowing the title or author's name, with an emotion engine that recognizes the user's emotions.

[0523] First, the user accesses the system using their device and enters abstract keywords, genres, or a partial synopsis into the search screen. At this point, the emotion engine is activated and analyzes the user's emotions using information such as their input, facial expressions, and tone of voice.

[0524] The terminal sends the data entered by the user and the emotional information recognized by the emotion engine to the server. The server uses this information to search for relevant books in the book database using a generative model and generates a list of books that take the user's emotional state into account.

[0525] The server sends the created book list to the terminal, which then displays it in the user interface. Content that matches the user's mood is prioritized, allowing the user to quickly find books that suit their interests and mood.

[0526] When a user selects a book, the device presents purchase options for that book. Here too, the emotion engine is at work, dynamically customizing the purchase process according to the user's emotional state. Furthermore, in the case of gifts, the emotion engine is used to suggest appropriate messages.

[0527] For example, if a user enters keywords such as "forest," "calm," and "self-improvement" while expressing feelings like "sad" or "wanting to relax," the emotion engine analyzes this information and prioritizes suggesting books that uplift the mood and provide a sense of security. Based on this information, the system lists books such as "The Benefits of Forest Bathing" and "A Quiet Journey to Understand Yourself" and presents them to the user. This feature makes it easy for users to find books that better suit their current mood.

[0528] Thus, by incorporating an emotion engine, the system of the present invention goes beyond mere information provision to offer a sophisticated book recommendation and purchasing experience that resonates with the user's emotions.

[0529] The following describes the processing flow.

[0530] Step 1:

[0531] The user accesses the system through their terminal and prepares to start a search on the search screen. The user enters keywords, genres, and a partial synopsis to form a search query.

[0532] Step 2:

[0533] The device passes the input information to the emotion engine. The emotion engine determines the user's emotions by analyzing the trends of keywords entered by the user, facial expressions from the device's camera, or, if voice input is available, the tone of voice.

[0534] Step 3:

[0535] The device sends the analyzed sentiment information to the server. The server receives this information and prepares it to be used as a query to search for books.

[0536] Step 4:

[0537] The server searches the book database using a generative model that incorporates emotional information. This search uses an algorithm that prioritizes listing books that correspond to the user's emotions.

[0538] Step 5:

[0539] The server sends the generated book list to the terminal. The terminal receives it, displays it in the user interface, and makes it easy for the user to browse.

[0540] Step 6:

[0541] Users select books of interest from a list displayed on their device. Because the display is emotionally responsive, the selection is designed to easily align with the user's emotions.

[0542] Step 7:

[0543] The device displays purchase options for the selected book. These options are customized based on the user's mood; for example, they might present information about relaxing promotions.

[0544] Step 8:

[0545] The user selects purchase options and payment methods. The device processes this information and prepares to process the payment.

[0546] Step 9:

[0547] If a user wants to send a book as a gift, the device provides a message input field for the gift. The emotion engine then suggests a message appropriate for the gift.

[0548] Step 10:

[0549] The device sends information about the gift to the server. The server then uses that information to complete the process so that the gift is delivered successfully.

[0550] (Example 2)

[0551] 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."

[0552] In today's world, the sheer volume of information makes it difficult to find the books one needs, and it's also challenging to provide recommendations that cater to individual emotions and interests. Conventional systems fail to consider emotional information, making it difficult to achieve efficient and personalized recommendations.

[0553] 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.

[0554] In this invention, the server includes means for receiving abstract information related to books using an information processing device, means for analyzing an individual's emotions from the received information using an emotion analysis device, and means for searching an information set using a generation algorithm based on the analysis results and the received information to generate a list of highly relevant information. This enables efficient information retrieval that takes into account the individual's emotional state and the presentation of personalized information based on that retrieval.

[0555] An "information processing device" is a collection of computers and related hardware used to receive, analyze, and process information.

[0556] An "emotion analysis device" is a combination of software and hardware used to identify an individual's emotions from their facial expressions, voice, text, etc.

[0557] A "generative algorithm" is a mathematical model used to generate new data based on predetermined rules and computational procedures.

[0558] An "information set" is a collection of diverse information recorded in a database or data store.

[0559] A "user interface" refers to the components, including screens and input devices, that allow a user to interact with a digital system.

[0560] "Payment options" refer to the various payment methods available when paying for a purchase or service.

[0561] This invention provides a method for facilitating the rapid retrieval, selection, and acquisition of relevant information using an information processing system, with the aim of enabling personalized information presentation that takes into account the user's emotional state.

[0562] First, the user accesses the information processing system using a terminal. A search screen is displayed on the terminal, where the user enters keywords, genres, and some related information to specify their intentions. At this time, the sentiment analysis device on the terminal operates, simultaneously analyzing the user's facial expressions, voice tone, and input text. This sentiment analysis may utilize, for example, sentiment recognition software or voice analysis hardware.

[0563] The terminal sends this input information and emotional data to the server. The server utilizes a generative algorithm to search for highly relevant information from the data set based on the received data. In this process, a general-purpose artificial intelligence engine is incorporated as the generative model. The system on the server quickly extracts the relevant information, lists it, and sorts it by priority. This is to ensure that content reflecting a specific emotional state is presented at the top.

[0564] The generated list is returned to the terminal and displayed through the user interface. The user can select information of interest from this list. Based on the selection, the terminal presents the user with options for retrieving the information and guides them through the retrieval process.

[0565] Here's a concrete example. When a user searches using keywords and emotions like "calm" and "self-improvement," the system prioritizes displaying information such as "tips for calming your mind." An example of a prompt to input into the generating AI model would be, "The user is currently feeling calm. Please suggest self-improvement-related information that fits this calm feeling." This allows the user to efficiently obtain the information they desire.

[0566] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0567] Step 1:

[0568] The user accesses the information processing system using a terminal. A search screen is displayed on the terminal, where the user enters abstract keywords, genres, or parts of a scenario related to their interests and intentions. The entered data is stored on the terminal as basic search information.

[0569] Step 2:

[0570] The terminal activates an emotion analysis device and detects the user's facial expressions and voice tone. This information is input into an emotion analysis program, which analyzes the user's emotional state. The terminal temporarily stores the emotional data obtained from this analysis so that it can be used in subsequent information retrieval.

[0571] Step 3:

[0572] The terminal sends the entered keywords and acquired sentiment data to the server. The server uses a generative AI model to search for highly relevant content from the information set. Specifically, it inputs the received keywords and sentiment states into the generative model, forms a prompt, and performs a database search. As output, a list of related information linked to the sentiment is generated.

[0573] Step 4:

[0574] The server creates a list and sends it to the terminal, prioritizing the information. The terminal displays the received list of information in the user interface and formats it into an easy-to-understand format. The user can then select the information of interest from this list and use it according to their search purpose.

[0575] Step 5:

[0576] When the user selects information of interest, the device displays details of the information and presents acquisition options (e.g., purchase or download). This process again utilizes sentiment data to present personalized messages and choices. Based on the selection, the device navigates the acquisition process.

[0577] (Application Example 2)

[0578] 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."

[0579] Existing book search and purchase systems fail to adequately consider users' abstract needs and emotional states, resulting in limited personalized book recommendations. Furthermore, they lack a dynamic purchasing experience based on user emotions. This creates a challenge for users, making it difficult to smoothly select and purchase books that align with their emotional state.

[0580] 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.

[0581] In this invention, the server includes means for receiving abstract keywords related to books and the user's emotional state; means for using the received keywords and emotional state to search an information base using a generative model and generate a list of relevant books; and means for acquiring biometric information from the user's external device and analyzing their emotions. This enables a personalized book recommendation and purchase experience that is tailored to the user's emotions.

[0582] "Abstract keywords related to a book" are general words or phrases that express concepts, themes, or emotions, without including specific information about the book's title or author.

[0583] "User's emotional state" refers to the psychological and emotional circumstances a user exhibits when purchasing a book, and it influences the user's interest and willingness to buy.

[0584] A "generative model" refers to a computational method for deriving relevant information based on input data, and uses specific algorithms to perform predictions and recommendations.

[0585] An "information base" is a database that stores information about a variety of books, and it serves as the foundation for searching and making recommendations.

[0586] "External devices" refer to smart devices, sensors, etc., used to collect the user's biometric information, and function as an interface with the user.

[0587] "Biometric information" refers to data about the user's physical responses, such as heart rate, voice tone, and facial expressions, and serves as the basis for analyzing emotions and health status.

[0588] A system implementing this invention mainly consists of a server, a user terminal (such as smart glasses or a smartphone), and an external device (a device for acquiring biometric information).

[0589] The server receives abstract keywords related to books and the user's emotional state, and uses a generative AI model based on this information to generate a list of relevant books from the information base. In this process, the server uses a specific algorithm (e.g., OpenAI GPT) as the generative model. The resulting book list is then prioritized based on the user's emotional state.

[0590] The user terminal displays the generated book list to the user and prompts them to make a selection in a format that matches their emotions. Smart glasses can analyze the user's gaze and facial expressions in real time and provide a user interface that reflects the user's emotions. This analysis utilizes facial expression analysis libraries (e.g., OpenCV) and speech analysis libraries (e.g., Google Cloud Speech-to-Text).

[0591] When a user selects a book, the device facilitates a dynamic purchase process that responds to their emotions. This process also generates a gift message based on the user's emotional state. If the user is seeking a "calm mood," relaxing content is prioritized and recommended.

[0592] As a concrete example, if a user thinks "I want to relax" and enters related keywords, the system will perform a search using the prompt "Recommend the best books for a user seeking content related to relaxation." As a result, the system will present the most suitable books for the user, providing a comfortable purchasing experience.

[0593] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0594] Step 1:

[0595] The user uses a device to input abstract keywords related to the book, along with emotional data through voice or eye-tracking. This connects the device to an emotion engine, which analyzes the user's emotional state based on their facial expressions and tone of voice. The device then sends the input keywords and emotional data to a server.

[0596] Step 2:

[0597] The server generates a prompt sentence based on the received keyword and sentiment data, and sends that prompt sentence to the generating AI model. The generating AI model searches the book database and extracts relevant book lists in order of suitability to the sentiment. This generates an individually adaptive book list that reflects abstract keywords and sentiment.

[0598] Step 3:

[0599] The generated book list is sent from the server to the terminal and displayed on the terminal's user interface. Here, books that match the user's emotional state are prioritized, allowing the user to intuitively select books that fit their emotions. Eye-tracking measures the user's interests, and the display is adjusted accordingly.

[0600] Step 4:

[0601] When a user selects a book, their device sends a purchase request to the server, which then generates a dynamic purchase process tailored to their emotional state. This process includes payment options aligned with the user's emotions and, in the case of a gift, appropriate message suggestions. Finally, after the purchase is complete, the book data is downloaded to the user's device via the e-bookstore.

[0602] Step 5:

[0603] After a user completes a purchase, the device anonymizes the collected emotional and purchase behavior data and feeds it back to the server. The server uses this data to tune the generated AI model and improve the accuracy of future recommendations. This feedback enables further personalization and optimization of the user experience.

[0604] 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.

[0605] 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.

[0606] 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.

[0607] [Fourth Embodiment]

[0608] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0609] 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.

[0610] 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).

[0611] 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.

[0612] 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.

[0613] 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).

[0614] 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.

[0615] 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.

[0616] 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.

[0617] 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.

[0618] 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.

[0619] 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.

[0620] 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".

[0621] The system of the present invention provides a function that allows users to easily search for a desired book using abstract keywords, even if they do not know the title or author, and to purchase or give the book as a gift. Embodiments of this system are described below.

[0622] First, the user accesses the system using a terminal and enters keywords, genres, or a partial synopsis on the search screen, even if the title or author is unknown. The terminal then sends this input to the server.

[0623] The server analyzes the received keywords and uses a generative model to search for relevant books in the book database. This generative model has the function of extracting information based on the input keywords and building a list of highly relevant books.

[0624] Next, the server sends the generated book list to the terminal, which displays it in the user interface. The user can then easily select books of interest from this list.

[0625] When a user selects a specific book, the device displays purchase options for that book and guides them through the purchase process. Users can choose from multiple payment methods and specify a shipping method. For certain types of books, such as comics, users can also choose to read them online.

[0626] Furthermore, if a user wishes to gift a book they have selected to someone else, the device receives the gifting information from the user and sends it to the server. Based on this information, the process for properly sending the gift is completed.

[0627] For example, if a user searches using the keywords "adventure," "dragon," and "friendship," the server associates these keywords and lists books related to "stories of dragons and adventure" from this database. Based on the results, the user can select the book "Dragonheart Story" and proceed with the purchase. If necessary, they can also send this book as an electronic gift to a friend.

[0628] In this way, the system of the present invention helps users intuitively search for, select, and purchase books.

[0629] The following describes the processing flow.

[0630] Step 1:

[0631] The user uses their terminal to open the system's search interface. Even if they don't know the title or author, the user enters any abstract keywords, genres, or information related to some of the book's content that comes to mind.

[0632] Step 2:

[0633] The terminal formats the information entered by the user appropriately and sends it to the server. This information includes abstract keywords and categories.

[0634] Step 3:

[0635] The server analyzes the received keywords. This analysis utilizes natural language processing, supplying the keywords as input data to a generative model, which then generates queries to search for highly relevant books.

[0636] Step 4:

[0637] The server searches the database and generates a list of relevant book candidates. This list includes the book that best matches the user's search criteria.

[0638] Step 5:

[0639] The server sends the generated book list to the terminal. The terminal receives it and displays it in the user interface.

[0640] Step 6:

[0641] Users can select a book of interest from a list of books displayed on their device. Detailed information about the selected book is then displayed in the user interface.

[0642] Step 7:

[0643] If a user wishes to purchase a book, the device will present purchase options. These options include payment methods and shipping options.

[0644] Step 8:

[0645] The user selects their preferred payment method and confirms the purchase. The terminal processes this information and initiates the payment process.

[0646] Step 9:

[0647] If a user wants to give a book as a gift, the device will provide a field for entering gift information and prompt the user to enter the necessary details.

[0648] Step 10:

[0649] The device sends gift information to the server. Based on this information, the server completes the process of sending the gift to the designated recipient.

[0650] (Example 1)

[0651] 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".

[0652] Many people struggle to search for and obtain books and other information resources without specific information. In this situation, there is a need for a system that allows users to reliably find relevant information resources using only keywords or general descriptions. Furthermore, there is a need for a means to easily share or distribute selected information resources with others.

[0653] 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.

[0654] In this invention, the server includes means for receiving abstract keywords related to information resources, means for searching an information resource database using a generative model and generating a list of related resources, and means for displaying the generated resource list on a user interface and making it selectable by the user. This enables the user to efficiently search for, acquire, and distribute information resources without knowing specific information.

[0655] "Information resources" is a general term for information that users can search, retrieve, and use, such as books and digital content stored in a database.

[0656] An "abstract keyword" is a general word or concept that does not include specific names or details, but is used to characterize the information in question.

[0657] A "generative model" is an algorithm or method for searching an information resource database using received keywords and extracting relevant information.

[0658] The "related resources list" is a list of highly relevant information resources selected by the generative model based on abstract keywords entered by the user.

[0659] A "user interface" is a visual and operational means that presents a generated list of resources to the user, making it easier for them to select and manipulate them.

[0660] "Acquisition options" refer to the choices of methods and procedures available to the user to obtain the information resources they have selected.

[0661] "Distribution" refers to the process of sharing or handing over selected information resources to others, and includes the exchange of information necessary in this process.

[0662] The system of the present invention enables users to efficiently search for and acquire information resources even without possessing specific information. The following describes embodiments for carrying out the present invention.

[0663] First, the user accesses the search system using a terminal. The terminal's interface allows the user to input abstract keywords or related concepts, even if the title or details of the information they are looking for are not clear. This input serves as the starting point for the system.

[0664] The terminal sends keywords entered by the user to the server. This server has high processing power and uses a generative AI model to analyze the received keywords. This model employs various natural language processing techniques to extract highly relevant resources from the information resource database.

[0665] For example, when a user enters keywords such as "adventure," "dragon," and "friendship," the server uses these as a prompt to instruct the AI ​​model to "find books about adventure and friendship." Based on this prompt, the server creates a list of relevant books from its database.

[0666] The server sends the generated list to the terminal. The terminal presents this list to the user through a user interface. The user can select resources that suit their interests from the list of information resources displayed in a visually easy-to-understand format.

[0667] Once the user selects a specific information resource, the device displays detailed information about that resource and provides acquisition options for the user to choose from. Multiple payment and delivery methods are presented, and the acquisition process proceeds quickly based on the user's selection.

[0668] Furthermore, if a user wishes to distribute selected information resources to others, the device collects additional information necessary for distribution and sends it to the server. This allows the server to arrange distribution in the appropriate format to the specified recipient. For example, when sending an e-book to others, an email link or download option may be used.

[0669] In this way, the system allows users to intuitively and easily search for information resources and efficiently acquire and distribute them.

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

[0671] Step 1:

[0672] The user accesses the terminal's search interface and enters abstract keywords that characterize the information they are looking for. Examples of these keywords include "adventure," "dragon," and "friendship." The terminal then sends this input as a digital signal to the server.

[0673] Step 2:

[0674] The server utilizes natural language processing techniques to analyze keywords received from the terminal. This analysis process extracts related concepts from the keywords and generates prompt sentences. For example, based on the received keywords, it might generate a prompt sentence such as "Find books about adventure and friendship."

[0675] Step 3:

[0676] The server accesses the generating AI model via the generated prompt text and searches the information resource database. Here, the AI ​​model extracts information related to the prompt text and uses advanced data analysis techniques to identify highly relevant information resources. As output, the server constructs a list of relevant books.

[0677] Step 4:

[0678] The server sends the compiled book list to the terminal. The terminal receives the book list and displays it in a visually organized format on the user interface. The user can then select books of interest from this list.

[0679] Step 5:

[0680] For the book selected by the user, the terminal displays detailed information and acquisition options. Based on the entered selection information, the terminal then presents the necessary payment methods and delivery options for the acquisition process.

[0681] Step 6:

[0682] When a user decides to distribute a book they have acquired to others, the device receives additional distribution information and sends it to the server. Based on this information, the server selects the appropriate distribution method and completes the process of distributing the information resources to the designated recipients.

[0683] (Application Example 1)

[0684] 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".

[0685] In today's world, users are required to search for and retrieve specific books or products from a vast amount of information. However, if the title or author is unclear, traditional search systems make it difficult to access the desired information. Furthermore, when choosing a gift for a friend, intuitively selecting relevant books presents a challenge. Additionally, users demand convenient payment methods and instant online retrieval, but traditional systems fail to adequately address these needs.

[0686] 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.

[0687] In this invention, the server includes means for receiving general concepts related to books, means for using the received general concepts to search a database using a generative model and generate a set of relevant information, and means for displaying the generated set of information on a user interface and making it selectable by the user. This allows users to intuitively search for, select, and acquire books through ambiguous keywords. Furthermore, by providing online viewing connectivity and multiple payment options, a comprehensive and flexible user experience can be offered.

[0688] A "general concept" refers to abstract information such as keywords or characteristics that users can recall without having specific details.

[0689] A "generative model" is an artificial intelligence computational method used to analyze input data and generate relevant results.

[0690] An "information set" is a list of relevant data obtained based on search and generative models.

[0691] A "user interface" is a screen or interface that provides a means of display and input for a user to interact with a system.

[0692] A "means of making selection possible" refers to a function that allows the user to select any item from the displayed information.

[0693] "Acquisition options" refer to the specific methods or procedures that users can choose to receive information.

[0694] "Online viewing connection" refers to a communication method via the internet that makes selected information instantly available in digital format.

[0695] "Payment options" refer to multiple payment methods that users can use to pay for the information they select.

[0696] "Natural language processing technology" refers to the technology used by computers to understand and analyze human language.

[0697] "Prompting" means inputting instructions for interpretation and processing into a generative model.

[0698] "Prioritizing relevant information" is the process of determining the order in which to display or select information based on its appropriateness and importance among multiple pieces of information.

[0699] The system that implements this application primarily consists of a user terminal and a server. The user terminal can be a smartphone or a computer, while the server houses the generative AI model and database.

[0700] The process begins with the user entering general concepts or keywords on their terminal. This input is then sent to the server. The server uses natural language processing technology to analyze the entered keywords. The analyzed information is then provided as a prompt to a generative AI model, such as OpenAI's GPT model. This process generates a collection of highly relevant information from the database.

[0701] The server sends the generated information set to the user's terminal. On the user's terminal, the generated information set is displayed in the user interface, allowing the user to select it. Furthermore, acquisition and payment options for the selected information are also displayed on the terminal. If the selected information is electronically distributed, an online viewing connection is provided, allowing the user to acquire the information using their preferred method.

[0702] As a concrete example, if a user inputs general concepts such as "space travel," "robots," and "friendship," the server analyzes this information and lists related books. An example of a prompt given to the generating AI model is: "Please list books related to the following keywords: 'space travel,' 'robots,' and 'friendship.' Please provide the titles and a brief description of the related books."

[0703] This system allows users to easily access the information they desire and enjoy a variety of acquisition and payment methods. As a result, users can search, select, and acquire the information they need more intuitively and efficiently.

[0704] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0705] Step 1:

[0706] The user enters general concepts or keywords into the terminal. The entered keywords are sent to the server through the user interface. At this point, the input data is text containing ambiguous keywords and characteristics.

[0707] Step 2:

[0708] The server begins analyzing the received keywords. Using natural language processing techniques, it tokenizes the input text and performs semantic analysis. It converts the input keywords into a format recognizable by the generative model. This analysis result then serves as a prompt for the subsequent generative model.

[0709] Step 3:

[0710] The server sends the analyzed information as a prompt to the generative AI model. The generative AI model receives the prompt and generates the relevant information. This process involves extracting information from databases and listing relevant literature. The output data is a collection of information including relevant book titles and summaries.

[0711] Step 4:

[0712] The generated information set is sent from the server to the user's terminal. The terminal displays this information in its user interface, allowing the user to select items of their choice. The output data is a list of selectable content. Through this operation, the user can choose books of interest.

[0713] Step 5:

[0714] When a user selects a specific book, the device displays acquisition and payment options for that book. The user can then choose from the displayed options to acquire the book, such as purchasing or online viewing. The final output indicates that the book acquisition process is complete.

[0715] Step 6:

[0716] Based on the user's chosen method of acquisition, the books are distributed. The device either begins online viewing via a link provided by the server or arranges for the delivery of a physical book. This allows the user to access the selected information in real time.

[0717] 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.

[0718] This invention provides more personalized book recommendations by combining a system that allows users to easily search, select, and purchase related books using abstract keywords, even without knowing the title or author's name, with an emotion engine that recognizes the user's emotions.

[0719] First, the user accesses the system using their device and enters abstract keywords, genres, or a partial synopsis into the search screen. At this point, the emotion engine is activated and analyzes the user's emotions using information such as their input, facial expressions, and tone of voice.

[0720] The terminal sends the data entered by the user and the emotional information recognized by the emotion engine to the server. The server uses this information to search for relevant books in the book database using a generative model and generates a list of books that take the user's emotional state into account.

[0721] The server sends the created book list to the terminal, which then displays it in the user interface. Content that matches the user's mood is prioritized, allowing the user to quickly find books that suit their interests and mood.

[0722] When a user selects a book, the device presents purchase options for that book. Here too, the emotion engine is at work, dynamically customizing the purchase process according to the user's emotional state. Furthermore, in the case of gifts, the emotion engine is used to suggest appropriate messages.

[0723] For example, if a user enters keywords such as "forest," "calm," and "self-improvement" while expressing feelings like "sad" or "wanting to relax," the emotion engine analyzes this information and prioritizes suggesting books that uplift the mood and provide a sense of security. Based on this information, the system lists books such as "The Benefits of Forest Bathing" and "A Quiet Journey to Understand Yourself" and presents them to the user. This feature makes it easy for users to find books that better suit their current mood.

[0724] Thus, by incorporating an emotion engine, the system of the present invention goes beyond mere information provision to offer a sophisticated book recommendation and purchasing experience that resonates with the user's emotions.

[0725] The following describes the processing flow.

[0726] Step 1:

[0727] The user accesses the system through their terminal and prepares to start a search on the search screen. The user enters keywords, genres, and a partial synopsis to form a search query.

[0728] Step 2:

[0729] The device passes the input information to the emotion engine. The emotion engine determines the user's emotions by analyzing the trends of keywords entered by the user, facial expressions from the device's camera, or, if voice input is available, the tone of voice.

[0730] Step 3:

[0731] The device sends the analyzed sentiment information to the server. The server receives this information and prepares it to be used as a query to search for books.

[0732] Step 4:

[0733] The server searches the book database using a generative model that incorporates emotional information. This search uses an algorithm that prioritizes listing books that correspond to the user's emotions.

[0734] Step 5:

[0735] The server sends the generated book list to the terminal. The terminal receives it, displays it in the user interface, and makes it easy for the user to browse.

[0736] Step 6:

[0737] Users select books of interest from a list displayed on their device. Because the display is emotionally responsive, the selection is designed to easily align with the user's emotions.

[0738] Step 7:

[0739] The device displays purchase options for the selected book. These options are customized based on the user's mood; for example, they might present information about relaxing promotions.

[0740] Step 8:

[0741] The user selects purchase options and payment methods. The device processes this information and prepares to process the payment.

[0742] Step 9:

[0743] If a user wants to send a book as a gift, the device provides a message input field for the gift. The emotion engine then suggests a message appropriate for the gift.

[0744] Step 10:

[0745] The device sends information about the gift to the server. The server then uses that information to complete the process so that the gift is delivered successfully.

[0746] (Example 2)

[0747] 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".

[0748] In today's world, the sheer volume of information makes it difficult to find the books one needs, and it's also challenging to provide recommendations that cater to individual emotions and interests. Conventional systems fail to consider emotional information, making it difficult to achieve efficient and personalized recommendations.

[0749] 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.

[0750] In this invention, the server includes means for receiving abstract information related to books using an information processing device, means for analyzing an individual's emotions from the received information using an emotion analysis device, and means for searching an information set using a generation algorithm based on the analysis results and the received information to generate a list of highly relevant information. This enables efficient information retrieval that takes into account the individual's emotional state and the presentation of personalized information based on that retrieval.

[0751] An "information processing device" is a collection of computers and related hardware used to receive, analyze, and process information.

[0752] An "emotion analysis device" is a combination of software and hardware used to identify an individual's emotions from their facial expressions, voice, text, etc.

[0753] A "generative algorithm" is a mathematical model used to generate new data based on predetermined rules and computational procedures.

[0754] An "information set" is a collection of diverse information recorded in a database or data store.

[0755] A "user interface" refers to the components, including screens and input devices, that allow a user to interact with a digital system.

[0756] "Payment options" refer to the various payment methods available when paying for a purchase or service.

[0757] This invention provides a method for facilitating the rapid retrieval, selection, and acquisition of relevant information using an information processing system, with the aim of enabling personalized information presentation that takes into account the user's emotional state.

[0758] First, the user accesses the information processing system using a terminal. A search screen is displayed on the terminal, where the user enters keywords, genres, and some related information to specify their intentions. At this time, the sentiment analysis device on the terminal operates, simultaneously analyzing the user's facial expressions, voice tone, and input text. This sentiment analysis may utilize, for example, sentiment recognition software or voice analysis hardware.

[0759] The terminal sends this input information and emotional data to the server. The server utilizes a generative algorithm to search for highly relevant information from the data set based on the received data. In this process, a general-purpose artificial intelligence engine is incorporated as the generative model. The system on the server quickly extracts the relevant information, lists it, and sorts it by priority. This is to ensure that content reflecting a specific emotional state is presented at the top.

[0760] The generated list is returned to the terminal and displayed through the user interface. The user can select information of interest from this list. Based on the selection, the terminal presents the user with options for retrieving the information and guides them through the retrieval process.

[0761] Here's a concrete example. When a user searches using keywords and emotions like "calm" and "self-improvement," the system prioritizes displaying information such as "tips for calming your mind." An example of a prompt to input into the generating AI model would be, "The user is currently feeling calm. Please suggest self-improvement-related information that fits this calm feeling." This allows the user to efficiently obtain the information they desire.

[0762] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0763] Step 1:

[0764] The user accesses the information processing system using a terminal. A search screen is displayed on the terminal, where the user enters abstract keywords, genres, or parts of a scenario related to their interests and intentions. The entered data is stored on the terminal as basic search information.

[0765] Step 2:

[0766] The terminal activates an emotion analysis device and detects the user's facial expressions and voice tone. This information is input into an emotion analysis program, which analyzes the user's emotional state. The terminal temporarily stores the emotional data obtained from this analysis so that it can be used in subsequent information retrieval.

[0767] Step 3:

[0768] The terminal sends the entered keywords and acquired sentiment data to the server. The server uses a generative AI model to search for highly relevant content from the information set. Specifically, it inputs the received keywords and sentiment states into the generative model, forms a prompt, and performs a database search. As output, a list of related information linked to the sentiment is generated.

[0769] Step 4:

[0770] The server creates a list and sends it to the terminal, prioritizing the information. The terminal displays the received list of information in the user interface and formats it into an easy-to-understand format. The user can then select the information of interest from this list and use it according to their search purpose.

[0771] Step 5:

[0772] When the user selects information of interest, the device displays details of the information and presents acquisition options (e.g., purchase or download). This process again utilizes sentiment data to present personalized messages and choices. Based on the selection, the device navigates the acquisition process.

[0773] (Application Example 2)

[0774] 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".

[0775] Existing book search and purchase systems fail to adequately consider users' abstract needs and emotional states, resulting in limited personalized book recommendations. Furthermore, they lack a dynamic purchasing experience based on user emotions. This creates a challenge for users, making it difficult to smoothly select and purchase books that align with their emotional state.

[0776] 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.

[0777] In this invention, the server includes means for receiving abstract keywords related to books and the user's emotional state; means for using the received keywords and emotional state to search an information base using a generative model and generate a list of relevant books; and means for acquiring biometric information from the user's external device and analyzing their emotions. This enables a personalized book recommendation and purchase experience that is tailored to the user's emotions.

[0778] "Abstract keywords related to a book" are general words or phrases that express concepts, themes, or emotions, without including specific information about the book's title or author.

[0779] "User's emotional state" refers to the psychological and emotional circumstances a user exhibits when purchasing a book, and it influences the user's interest and willingness to buy.

[0780] A "generative model" refers to a computational method for deriving relevant information based on input data, and uses specific algorithms to perform predictions and recommendations.

[0781] An "information base" is a database that stores information about a variety of books, and it serves as the foundation for searching and making recommendations.

[0782] "External devices" refer to smart devices, sensors, etc., used to collect the user's biometric information, and function as an interface with the user.

[0783] "Biometric information" refers to data about the user's physical responses, such as heart rate, voice tone, and facial expressions, and serves as the basis for analyzing emotions and health status.

[0784] A system implementing this invention mainly consists of a server, a user terminal (such as smart glasses or a smartphone), and an external device (a device for acquiring biometric information).

[0785] The server receives abstract keywords related to books and the user's emotional state, and uses a generative AI model based on this information to generate a list of relevant books from the information base. In this process, the server uses a specific algorithm (e.g., OpenAI GPT) as the generative model. The resulting book list is then prioritized based on the user's emotional state.

[0786] The user terminal displays the generated book list to the user and prompts them to make a selection in a format that matches their emotions. Smart glasses can analyze the user's gaze and facial expressions in real time and provide a user interface that reflects the user's emotions. This analysis utilizes facial expression analysis libraries (e.g., OpenCV) and speech analysis libraries (e.g., Google Cloud Speech-to-Text).

[0787] When a user selects a book, the device facilitates a dynamic purchase process that responds to their emotions. This process also generates a gift message based on the user's emotional state. If the user is seeking a "calm mood," relaxing content is prioritized and recommended.

[0788] As a concrete example, if a user thinks "I want to relax" and enters related keywords, the system will perform a search using the prompt "Recommend the best books for a user seeking content related to relaxation." As a result, the system will present the most suitable books for the user, providing a comfortable purchasing experience.

[0789] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0790] Step 1:

[0791] The user uses a device to input abstract keywords related to the book, along with emotional data through voice or eye-tracking. This connects the device to an emotion engine, which analyzes the user's emotional state based on their facial expressions and tone of voice. The device then sends the input keywords and emotional data to a server.

[0792] Step 2:

[0793] The server generates a prompt sentence based on the received keyword and sentiment data, and sends that prompt sentence to the generating AI model. The generating AI model searches the book database and extracts relevant book lists in order of suitability to the sentiment. This generates an individually adaptive book list that reflects abstract keywords and sentiment.

[0794] Step 3:

[0795] The generated book list is sent from the server to the terminal and displayed on the terminal's user interface. Here, books that match the user's emotional state are prioritized, allowing the user to intuitively select books that fit their emotions. Eye-tracking measures the user's interests, and the display is adjusted accordingly.

[0796] Step 4:

[0797] When a user selects a book, their device sends a purchase request to the server, which then generates a dynamic purchase process tailored to their emotional state. This process includes payment options aligned with the user's emotions and, in the case of a gift, appropriate message suggestions. Finally, after the purchase is complete, the book data is downloaded to the user's device via the e-bookstore.

[0798] Step 5:

[0799] After a user completes a purchase, the device anonymizes the collected emotional and purchase behavior data and feeds it back to the server. The server uses this data to tune the generated AI model and improve the accuracy of future recommendations. This feedback enables further personalization and optimization of the user experience.

[0800] 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.

[0801] 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.

[0802] 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 robot 414.

[0803] 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.

[0804] 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.

[0805] 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.

[0806] 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.

[0807] 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.

[0808] 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."

[0809] 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.

[0810] 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.

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] 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.

[0818] 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.

[0819] 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.

[0820] 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.

[0821] The following is further disclosed regarding the embodiments described above.

[0822] (Claim 1)

[0823] A means of receiving abstract keywords related to books,

[0824] A means of using received keywords to search a book database using a generative model and generate a list of related books,

[0825] A means of displaying the generated book list on the user interface and allowing the user to select from it,

[0826] A means of displaying purchase options for selected books and providing a purchase process,

[0827] A means of receiving information to give a selected book as a gift to someone else, and sending the gift,

[0828] A system that includes this.

[0829] (Claim 2)

[0830] The system according to claim 1, comprising means for providing links to online viewing depending on the type of book.

[0831] (Claim 3)

[0832] The system according to claim 1, comprising means of providing multiple payment options in the purchase process and allowing the user to select one.

[0833] "Example 1"

[0834] (Claim 1)

[0835] A means of receiving abstract keywords related to information resources,

[0836] A means for using received keywords to search an information resource database using a generative model and generate a list of related resources,

[0837] A means of displaying the generated resource list on the user interface and allowing the user to select from it,

[0838] A means of displaying acquisition options for selected resources and providing an acquisition process,

[0839] A means of receiving and distributing information for distributing selected resources to others,

[0840] A system that includes this.

[0841] (Claim 2)

[0842] The system according to claim 1, which provides links for online use depending on the type of information resource.

[0843] (Claim 3)

[0844] The system according to claim 1, which provides multiple payment options in the acquisition process, allowing the user to select one.

[0845] "Application Example 1"

[0846] (Claim 1)

[0847] A means of receiving general concepts related to books,

[0848] A means of using received general concepts to search a database using a generative model and generate a set of relevant information,

[0849] A means of displaying the generated information set on a user interface and making it selectable by the user,

[0850] A means of displaying acquisition options for selected information and providing acquisition procedures,

[0851] A means of receiving and distributing information to others,

[0852] A means of analyzing input general concepts using natural language processing technology,

[0853] A means for prompting a generative model using the analyzed information and extracting relevant information,

[0854] A means of prioritizing relevant information based on the extracted information,

[0855] A system that includes this.

[0856] (Claim 2)

[0857] The system according to claim 1, comprising means for providing online viewing connections according to the type of information.

[0858] (Claim 3)

[0859] The system according to claim 1, which includes means for providing multiple payment options in the acquisition process and allowing the user to choose one.

[0860] "Example 2 of combining an emotion engine"

[0861] (Claim 1)

[0862] A means for receiving abstract information related to books using an information processing device,

[0863] An emotion analysis device provides a means to analyze an individual's emotions from the received information,

[0864] A means for searching an information set using a generation algorithm based on the analysis results and received information, and generating a list of highly relevant information,

[0865] A means of displaying a list of generated information on the user interface and allowing the individual to select it,

[0866] A means of displaying acquisition options for selected information and providing acquisition procedures,

[0867] A means of receiving and sending data for sending selected information to others,

[0868] A system that includes this.

[0869] (Claim 2)

[0870] The system according to claim 1, which provides online access depending on the type of information.

[0871] (Claim 3)

[0872] The system according to claim 1, which provides multiple payment options in the procedure, allowing the individual to select one.

[0873] "Application example 2 when combining with an emotional engine"

[0874] (Claim 1)

[0875] A means of receiving abstract keywords related to the book and the emotional state of the user,

[0876] A means for using received keywords and emotional states to search an information base using a generative model and generate a list of relevant books,

[0877] A means of displaying the generated book list in the user interface and allowing the user to select books based on their emotional state and prioritizing them accordingly.

[0878] A means of displaying purchase options for selected books and providing a dynamic purchase process that responds to emotional states,

[0879] A means of receiving information to gift selected books to others and sending the gifts along with a message that matches the sentiment,

[0880] A means of acquiring biometric information from the user's external device and analyzing their emotions,

[0881] A system that includes this.

[0882] (Claim 2)

[0883] The system according to claim 1, which provides links to online viewing depending on the type of book and the user's mood.

[0884] (Claim 3)

[0885] The system according to claim 1, which provides multiple payment options during the purchase process and adjusts the order in which they are presented based on the customer's emotional state. [Explanation of Symbols]

[0886] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of receiving abstract keywords related to books, A means of using received keywords to search a book database using a generative model and generate a list of related books, A means of displaying the generated book list on the user interface and allowing the user to select from it, A means of displaying purchase options for selected books and providing a purchase process, A means of receiving information to give a selected book as a gift to someone else, and sending the gift, A system that includes this.

2. The system according to claim 1, comprising means for providing links to online viewing depending on the type of book.

3. The system according to claim 1, comprising means of providing multiple payment options in the purchase process and allowing the user to select one.

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