System

Abstract

A system is provided.SOLUTION: The system includes a means for receiving various input materials and storing them in a database, a means for automatically generating a document on the basis of the stored materials by using a generation AI model, and a means for periodically collecting new information from the Internet or designated information sources and automatically updating the existing document.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the 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] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Large companies often face the problem of having a large amount of documentation that is not maintained, or that, even if created, is not updated and becomes outdated. Furthermore, there is also the problem of on-the-job training (OJT) for new employees taking a lot of time. This makes it difficult to maintain documents that always reflect the latest information, resulting in reduced work efficiency and increased training costs. [Means for solving the problem]

[0005] The present invention provides a system that includes a means for receiving various input materials and storing them in a database, a means for automatically generating documents based on the stored materials using a generative AI model, and a means for periodically collecting new information from the Internet or specified sources and automatically updating existing documents. The system also includes a means for adding metadata to the input materials and organizing them for efficient search and processing, and a means for formatting the generated documents and displaying them in a preset format. In this way, a system is realized that provides documents that always reflect the latest information and improves the efficiency of new employee training.

[0006] "Various documents" refers to all documents containing information such as specifications, technical documents, reports, and instructions that are entered into the system.

[0007] "Database" refers to an information storage system that organizes and stores various materials and generated documents, allowing them to be searched and processed efficiently.

[0008] "Generative AI models" refer to artificial intelligence algorithms and programs that automatically generate documents based on specific input materials.

[0009] "Documentation" refers to documents such as specifications, technical documentation, reports, and manuals created by generative AI models.

[0010] "Internet and designated sources" refers to websites, databases, news feeds, literature, and other sources of information that the system accesses to gather new information.

[0011] "Metadata" refers to additional information such as creation date, category, keywords, and name of person in charge that is added to various documents.

[0012] "Formatting" refers to the process of organizing and rearranging content according to a particular format or layout to make the resulting document easier to read.

[0013] "Format" refers to the rules and templates that define the structure and display layout of a document.

[0014] "OJT (On-the-job training)" refers to on-the-job training and education methods given to new employees and employees based on practical work practices in the workplace. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

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

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

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

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

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

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

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

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

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

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

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0032] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

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

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

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

[0036] The present invention is a system that automatically updates documents by inputting various materials. This system uses a generative AI model to collect information and automatically update documents. Specific embodiments are described below.

[0037] This system mainly consists of a server, a terminal, and a user.

[0038] 1. Input of various documents

[0039] For servers

[0040] The server accepts various documents uploaded by users and stores them in a database. Each document is organized with metadata for efficient searching and processing. The server analyzes the contents of the documents and verifies the accuracy of the data as necessary.

[0041] For terminals

[0042] The terminal provides an interface for users to input materials. Once the user inputs the materials, the terminal formats the data and sends it to the server in the appropriate format. The terminal also prompts the user to input metadata.

[0043] For users

[0044] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[0045] 2. Creating documentation

[0046] For servers

[0047] The server collects relevant data from the database and launches the ChatGPT model based on that data. The ChatGPT model analyzes the collected data and automatically generates documents. The generated documents are formatted and organized according to a predefined format. The final documents are saved in the database and sent to the device.

[0048] For terminals

[0049] The terminal receives notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review it. It also provides functions that allow the user to modify and edit the document.

[0050] For users

[0051] The user can check the generated document through the terminal, modify and edit the content of the document as needed, and check the final version.

[0052] 3. Information collection and automatic document updates

[0053] For servers

[0054] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[0055] For terminals

[0056] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[0057] For users

[0058] When the user receives an update notification on their device, they can check the document with the new information reflected. They can then review the updated content and make further corrections or edits as necessary.

[0059] Specific examples

[0060] For example, suppose a company introduces this system to manage technical documentation for a new product.

[0061] The user (engineer) enters the specifications for a new product into the terminal and assigns relevant metadata (creation date, version number, name of person in charge, etc.).

[0062] The terminal formats the input specifications in a prescribed format and sends them to the server.

[0063] The server stores the received specifications in a database.

[0064] The server collects relevant technical documents from the database and runs the ChatGPT model to generate new technical documents.

[0065] The server formats the generated document according to a format and stores the formatted document in a database.

[0066] The terminal receives a notification that the generated technical document is ready and displays it to the user.

[0067] The user checks the generated document and corrects or edits it as necessary.

[0068] In this way, technical documentation can be kept up to date and can also serve as training material for new engineers.

[0069] The processing flow will be explained below.

[0070] Step 1: User enters materials

[0071] The user inputs the material using the input interface on the terminal, which includes the text as well as metadata such as the creation date, category, and keywords.

[0072] Step 2: The device formats the document and sends it to the server

[0073] The terminal converts the input data into a suitable format, which is then sent to the server along with the metadata.

[0074] Step 3: The server stores the data in a database

[0075] The server receives the data sent from the device and stores it in a database, where it is organized based on metadata for efficient search and processing.

[0076] Step 4: Server collects relevant information

[0077] The server collects the relevant information required to generate the document from the database, and the collected information is used to generate the document.

[0078] Step 5: The server launches the generative AI model

[0079] The server launches the ChatGPT model and passes the collected related materials as input data, and the ChatGPT model automatically generates documents based on these materials.

[0080] Step 6: The server renders the generated document

[0081] The documents generated by the ChatGPT model are formatted according to a predefined format by the server, and the formatted documents are organized in an easy-to-read format.

[0082] Step 7: The server saves the generated document in the database and notifies the device.

[0083] The server stores the formatted document in a database and notifies the terminal that the document generation is complete.

[0084] Step 8: The terminal displays the generated document to the user

[0085] The terminal receives the notification from the server and displays the generated document to the user, who can then check the contents of the displayed document through an easy-to-view interface.

[0086] Step 9: User modifies / edits the document

[0087] The user checks the document displayed on the terminal and modifies or edits the content as necessary. The modified or edited document is then sent back to the server and saved.

[0088] Step 10: Server collects new information

[0089] The server periodically collects new information from the Internet and designated sources, which is then matched and analyzed against existing documents.

[0090] Step 11: The server automatically updates the document

[0091] The server automatically updates existing documents based on the new information collected, and the updated documents are stored in the database and notified to the device.

[0092] Step 12: The device notifies the user and displays the updated document.

[0093] The terminal receives update notifications from the server and notifies the user that the latest document is available. The user can check the updated document through the terminal and edit it as necessary.

[0094] Example 1

[0095] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0096] In conventional document management systems, collecting and updating new information is done manually, making it difficult to keep the information up to date. The time and effort required to input and organize documents also led to problems such as reduced search and processing efficiency. Furthermore, formatting and adjusting documents after they are generated is time-consuming, making them difficult to use when users want to modify or edit them.

[0097] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0098] In this invention, the server includes means for receiving various input materials and saving them in a database, means for providing a dedicated interface for users to input materials, means for automatically generating documents based on the saved materials using a generative AI model, means for formatting the generated documents and saving them in a database in a specified format, means for periodically collecting new information from the Internet or specified information sources and automatically updating existing documents, means for notifying users of updated documents and displaying them, means for adding metadata to the input materials and organizing them for efficient searching and processing, and means for providing an interface for users to modify and edit the generated documents. This makes it possible to always maintain the latest information, efficiently organize and search materials, and create, modify, and edit documents in a user-friendly format.

[0099] "Input materials" refers to all documents, files, and related information uploaded by users to the system.

[0100] A "database" is an information management system that efficiently manages and stores various input materials and generated documents.

[0101] A "dedicated interface" is a software screen or input form designed to make it easy for users to input materials.

[0102] A "generative AI model" refers to a program that uses artificial intelligence technology to automatically generate new documents based on input materials.

[0103] "Means for automatically generating documents" refers to the process of utilizing a generative AI model to automatically create the necessary documents based on the materials entered by the user and related information in the database.

[0104] "Formatting" refers to arranging the content of the generated document in a way that is easy to read and follows a prescribed format.

[0105] "Format" refers to the particular format or layout specifications that a document must follow.

[0106] "Means of gathering new information from the Internet or designated sources" refers to programs or access methods for regularly obtaining the latest information or updated data.

[0107] "Means for automatically updating existing documents" is the process of automatically bringing currently stored documents up to date with new information collected.

[0108] An "update notification" is a message or alert that notifies the user that a document has been updated to the latest version.

[0109] "Metadata" refers to information attached to a document (e.g., creation date, category, keywords, etc.), and is data necessary for efficient searching and processing of documents.

[0110] "Searching and processing" refers to a series of procedures for quickly and accurately finding materials in a database and performing the necessary operations.

[0111] "Modification / editing interface" refers to the software features and screens that allow a user to change or add content to a generated document.

[0112] The present invention is a system that automatically updates documents by inputting various materials. This system is mainly composed of a server, a terminal, and a user, and uses a generative AI model to collect information and automatically update documents. Specific embodiments are described below.

[0113] server

[0114] The server accepts various documents uploaded by users and stores them in a database. Each document is assigned metadata to enable efficient search and processing. The server analyzes the contents of the documents and performs a verification process to confirm the accuracy of the data. The server also collects related documents from the database and launches a generative AI model (e.g., the ChatGPT model) based on them. A prompt is entered into the ChatGPT model to request document generation, and the collected documents are analyzed to automatically generate the document. The generated document is formatted according to a pre-set format and finally saved in an organized form in the database. The server also periodically collects new information from the internet and specified sources, automatically updating existing documents with the latest content.

[0115] Terminal

[0116] The terminal provides a dedicated interface for users to input materials. When users input materials using the interface, the terminal organizes the materials and sends them to the server in the appropriate format. The terminal also prompts users to enter metadata to help organize the materials. When a notification is received from the server, the terminal displays the generated document to the user, providing formatted content that makes it easy for users to review the document. In addition, the terminal also provides an interface that allows users to modify and edit the document.

[0117] User

[0118] Users input data using a dedicated interface on their device. The data entered includes metadata such as creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via their device. The user then checks the generated document and makes corrections and edits as necessary. When an update notification is received from the server, the user can check the document with the new information reflected, make further corrections and edits, and confirm the final version.

[0119] Specific examples

[0120] For example, suppose a company has implemented this system to manage technical documentation for a new product. A user (engineer) enters the specifications for the new product into a terminal and adds relevant metadata (creation date, version number, name of person in charge, etc.). The terminal formats the input specifications in a specified format and sends them to the server. The server stores the received specifications in a database, collects related technical information, launches the ChatGPT model, and generates new technical documentation. The generated documentation is then formatted by the server and saved in the database. The terminal receives a notification that the generated technical documentation is ready and displays it to the user. The user then reviews the documentation and makes any necessary corrections or edits.

[0121] Prompt Sentence Examples

[0122] "Create a new technical document based on the new product specifications entered into this system. Include the following metadata: creation date, version number, and author's name. Also, reference any related technical documents."

[0123] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0124] Step 1:

[0125] The server accepts various materials uploaded by users. The input materials include document files (e.g., PDF, Word) and image files, and the server stores these files in a database. The server also assigns metadata (creation date, category, keywords, etc.) to the uploaded materials so that they can be searched and processed efficiently.

[0126] Step 2:

[0127] The terminal provides a dedicated interface for users to input data. When users input data through the interface, the terminal formats the data and converts it into a specified format (e.g., XML, JSON). After formatting, the terminal sends the data to the server. The input is the data from the user, and the output is the formatted data.

[0128] Step 3:

[0129] The server receives the data sent from the terminal and stores it in a database. At this time, the server analyzes the content and performs necessary verification processes to confirm the accuracy of the data. The input is the formatted data sent from the terminal, and the output is the verified data stored in the database.

[0130] Step 4:

[0131] The server collects relevant material from the database and launches a generative AI model (e.g., the ChatGPT model). The server inputs the prompt sentence into the generative AI model and provides instructions for automatic generation. The generative AI model analyzes the collected material and generates a new document. The input is the relevant material in the database and the prompt sentence, and the output is the generated document.

[0132] Step 5:

[0133] The server formats the generated document according to a predefined format, specifically adjusting the text layout, font, heading style, etc. The formatted document is then saved back to the database. The input is the document from the generative AI model, and the output is the formatted document.

[0134] Step 6:

[0135] The terminal receives notifications from the server and notifies the user that the generated document is available. The terminal displays the formatted content to the user, making it easy for the user to review the document. The input is the notification from the server and the output is the document displayed to the user.

[0136] Step 7:

[0137] The user checks the generated document through the terminal. The user can modify and edit the content of the document as needed and check the final form. The input is the document displayed on the terminal, and the output is the document modified and completed by the user.

[0138] Step 8:

[0139] The server periodically collects new information from the Internet or from specified sources. This new information is stored in a database and used to update existing documents. The input is the collected new information, and the output is the updated document.

[0140] Step 9:

[0141] The server saves the updated document in the database and notifies the terminal. The terminal displays the updated document to the user, showing the differences from the previous version. The user can review the updates and make further corrections or edits as needed. The input is the updated document and notification, and the output is the latest document displayed to the user.

[0142] (Application example 1)

[0143] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0144] Document management in logistics centers is often done manually, which is time-consuming and labor-intensive, and prone to errors and updates. While logistics information needs to be updated quickly and accurately and reflected immediately in related documents, there is a lack of efficient methods to achieve this.

[0145] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0146] In this invention, the server includes means for receiving various input materials and saving them in a database, means for automatically generating documents based on the saved materials using a generative AI model, means for periodically collecting new information from the Internet or specified information sources and automatically updating existing documents, means for inputting information at the logistics center using a smart device and generating and updating documents based on that information, and means for notifying the smart device of the generated documents so that they can be displayed and modified. This enables automation of document management at the logistics center and realizes accurate and rapid information updates.

[0147] "Various input materials" refers to documents and data that users provide to the system.

[0148] A "database" is part of a system used to efficiently store, retrieve, and update information.

[0149] A "generative AI model" is an artificial intelligence model that automatically generates documents based on input data.

[0150] "Internet or designated sources" refers to the Internet or specific data sources that the server accesses to gather new information.

[0151] "Smart devices" refer to highly functional electronic devices such as smartphones and head-mounted displays.

[0152] "Means for generating and updating documents" means a method for using a generative AI model to create new documents based on input materials and periodically update their contents with the latest information.

[0153] The "means for notifying, viewing and modifying the document" is a method for sending the generated document to the user's smart device, allowing the user to view it and modify it as needed.

[0154] "Metadata" is data that provides additional information about an object, primarily used to aid efficient searching and processing.

[0155] "Logistics center" refers to a facility that stores and distributes goods.

[0156] "Means" refers to a method or device for achieving a particular purpose.

[0157] MODE FOR CARRYING OUT THE INVENTION

[0158] This invention is a system that automates document management in a logistics center and reflects the latest information in real time. This system is composed of a server, terminals (smartphones, head-mounted displays), and users.

[0159] 1. Input of various documents

[0160] For servers

[0161] The server accepts various documents uploaded by users and stores them in a database. The documents are organized with metadata for efficient search and processing. The server also analyzes the contents of the documents and checks the accuracy of the data as necessary.

[0162] For terminals

[0163] The device provides an interface for users to input data. When users input data using a smartphone or head-mounted display, the device formats the data and sends it to the server in the appropriate format. The device also prompts users to input metadata.

[0164] For users

[0165] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[0166] 2. Generating Documentation

[0167] For servers

[0168] The server collects relevant information from the database and launches a generative AI model (ChatGPT) based on that information. The generative AI model analyzes the collected information and automatically generates documents. The generated documents are formatted and organized according to a pre-defined format. The final documents are saved in the database and sent to the device.

[0169] For terminals

[0170] The terminal receives notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review it. It also provides functions that allow the user to modify and edit the document.

[0171] For users

[0172] The user can check the generated document through the terminal, modify and edit the content of the document as needed, and check the final version.

[0173] 3. Information collection and automatic document updates

[0174] For servers

[0175] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[0176] For terminals

[0177] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[0178] For users

[0179] When the user receives an update notification on their device, they can check the document with the new information reflected. They can then review the updated content and make further corrections or edits as necessary.

[0180] Techniques and examples used

[0181] The system uses the following technologies:

[0182] Hardware:

[0183] Server: A regular business server (e.g., an AWS EC2 instance from a cloud service)

[0184] Devices: Smartphones (e.g., iPhone, Android devices), head-mounted displays (e.g., AR devices)

[0185] software:

[0186] Database: Relational database (e.g. MySQL)

[0187] Generative AI model: ChatGPT (e.g., OpenAI GPT-4)

[0188] Front-end: React Native (for smartphones), Unity (for head-mounted displays)

[0189] Backend: Node.js, Express.js

[0190] Specific examples

[0191] For example, if a logistics center were to adopt this system, workers could input new inventory lists using their smartphones. The input data would be sent to a server, where a generative AI model would generate an updated inventory report. The generated report would then be sent to a smartphone or head-mounted display, allowing workers to review and modify it in real time.

[0192] Example prompt sentence:

[0193] "Please create a new inventory report based on the following information: Inventory list - Product A: 500 units, Product B: 300 units, ..."

[0194] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0195] Step 1:

[0196] Users use a smartphone or head-mounted display to input inventory and shipping information collected in the logistics center into a terminal. The terminal formats the input data, adds metadata (e.g., date and time, person in charge, category), and sends it to the server. Input is in text format, and the data sent to the server is packaged in JSON format.

[0197] Step 2:

[0198] The server receives the data sent from the device and saves it in the database. The server parses the received data in JSON format, extracts the necessary fields, and stores them in the database. At this time, it also performs basic validation to check the accuracy of the data.

[0199] Step 3:

[0200] The server collects relevant materials from the database and launches a generative AI model (ChatGPT) based on them. A prompt is input into the generative AI model, requesting it to generate a document. The prompt is created in a format that includes the content of the collected materials. The generative AI model generates a new document (e.g., inventory report, shipping instruction) based on the input materials.

[0201] Step 4:

[0202] The document output from the generative AI model is formatted on the server according to a predefined format, then the formatted document is stored in a database and a notification is sent to the device to let the user know that the document is available.

[0203] Step 5:

[0204] The terminal receives the notification from the server and displays the generated document to the user. The display interface provides the document contents in a format that is easy to check, making it easy for the user to view the document. The user can check the displayed document and make corrections as necessary.

[0205] Step 6:

[0206] The server periodically collects new information from the internet and designated sources. The collected information is analyzed against existing data and updated in the relevant document. The generative AI model is then re-entered with prompts to generate an updated version of the existing document.

[0207] Step 7:

[0208] The updated document is also formatted on the server and saved in the database. It is then sent to the device so that the user can check the document based on the latest information. After receiving the update notification, the user can check the document on the device and understand the differences from the previous version.

[0209] These steps result in efficient and accurate document management in the distribution center.

[0210] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0211] The present invention is a system that automatically updates documents by inputting various materials. By combining a generative AI model and an emotion engine, it achieves more effective document management that takes user emotions into account. This system collects information and automatically updates documents, improving the user experience. Specific embodiments are described below.

[0212] This system mainly consists of a server, a terminal, and a user.

[0213] 1. Input of various documents

[0214] For servers

[0215] The server accepts various documents uploaded by users and stores them in a database. Each document is organized with metadata for efficient searching and processing. The server analyzes the contents of the documents and verifies the accuracy of the data as necessary.

[0216] For terminals

[0217] The terminal provides an interface for users to input materials. Once the user inputs the materials, the terminal formats the data and sends it to the server in the appropriate format. The terminal also prompts the user to input metadata.

[0218] For users

[0219] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[0220] 2. Emotion recognition and documentation

[0221] For servers

[0222] The server collects relevant data from the database and launches the ChatGPT model based on that data. The ChatGPT model analyzes the collected data and automatically generates documents. The server also launches an emotion engine to acquire and analyze the user's emotion data. Based on the emotion data, the document generation and structure are optimized. The generated document is formatted and organized according to a pre-defined format. The final document is saved in the database and notified to the device.

[0223] For terminals

[0224] The device receives the notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review. It also provides functions that allow the user to modify and edit the document. The content and presentation of the document are also adjusted based on the emotional data recognized by the emotion engine.

[0225] For users

[0226] The user checks the generated document through their device. If necessary, they can modify and edit the document content and check the final version. During modification and editing, the emotion engine recognizes the user's emotions in real time and adjusts the document presentation based on the results.

[0227] 3. Information collection and automatic document updates

[0228] For servers

[0229] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[0230] For terminals

[0231] The device receives update notifications from the server and notifies the user that the latest document is available. The device also displays the updated document to the user and shows the differences from the previous version. The emotion engine also recognizes the user's emotions and optimally displays the updated document.

[0232] For users

[0233] When the user receives an update notification on their device, they can view the document with the new information updated. They can then review the updated content and make further corrections or edits as necessary. The emotion engine provides real-time feedback based on the user's emotional changes, providing a better user experience.

[0234] Specific examples

[0235] For example, suppose a company introduces this system to manage technical documentation for a new product.

[0236] The user (engineer) enters the specifications for a new product into the terminal and assigns relevant metadata (creation date, version number, name of person in charge, etc.).

[0237] The terminal formats the input specifications in a prescribed format and sends them to the server.

[0238] The server stores the received specifications in a database.

[0239] The server collects relevant technical documents from the database and runs the ChatGPT model to generate new technical documents.

[0240] The emotion engine collects and analyzes the user's emotional data and reflects it in the generated document.

[0241] The server formats the generated document according to a format and stores the formatted document in a database.

[0242] The terminal receives a notification that the generated technical document is ready and displays it to the user.

[0243] The user can review the generated document and modify or edit it as necessary. The emotion engine provides real-time feedback, and the document is presented in a way that reflects the user's emotions.

[0244] The server periodically collects new information and automatically updates existing documents.

[0245] The device receives update notifications and displays the latest document to the user, adjusting the display based on the user's emotions.

[0246] The user checks the updated document and corrects or edits it again if necessary.

[0247] In this way, technical documentation can be kept up to date and can also serve as training material for new engineers. Recognizing user emotions and generating and presenting documentation accordingly can provide a better user experience.

[0248] The processing flow will be explained below.

[0249] Step 1: User enters materials

[0250] The user inputs the material using the input interface on the terminal, which includes the text as well as metadata such as the creation date, category, and keywords.

[0251] Step 2: The device formats the document and sends it to the server

[0252] The terminal converts the input data into a suitable format, which is then sent to the server along with the metadata.

[0253] Step 3: The server stores the data in a database

[0254] The server receives the data sent from the device and stores it in a database, where it is organized based on metadata for efficient search and processing.

[0255] Step 4: Server collects relevant information

[0256] The server collects relevant materials from the database and prepares the data required to generate the document.

[0257] Step 5: The server launches the generative AI model

[0258] The server runs the ChatGPT model and passes the collected data as input data, which then automatically generates documents based on the data.

[0259] Step 6: The server starts the emotion engine

[0260] The server starts the emotion engine, acquires and analyzes the user's emotion data, and reflects this data in document generation and composition.

[0261] Step 7: The server renders the generated document

[0262] The server formats the documents generated by the ChatGPT model according to a predefined format, and the formatted documents are organized in an easy-to-read format.

[0263] Step 8: The server saves the generated document in the database and notifies the device.

[0264] The server stores the formatted document in a database and notifies the terminal that the document generation is complete.

[0265] Step 9: The terminal displays the generated document to the user

[0266] The terminal receives the notification from the server and displays the generated document to the user, with the display interface showing the content formatted to make it easier for the user to review the document.

[0267] Step 10: User reviews, modifies, and edits the document

[0268] The user checks the document displayed on the terminal and modifies or edits the content as necessary. The modified or edited document is then sent back to the server and saved.

[0269] Step 11: Server gathers new information

[0270] The server periodically collects new information from the internet and designated sources, which is then collated and analyzed with existing data.

[0271] Step 12: The server automatically updates the document

[0272] The server automatically updates existing documents based on the new information collected, and the updated documents are stored in the database and notified to the device.

[0273] Step 13: The device notifies the user and displays the updated document.

[0274] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[0275] Step 14: User reviews, modifies, and edits the updated document

[0276] The user receives an update notification on their device and can view the document with the new information reflected. If necessary, the user can modify or edit the document content again.

[0277] Specific examples

[0278] For example, if a company implemented this system to manage technical documentation for a new product:

[0279] 1. A user (engineer) inputs the specifications for a new product into a terminal and enters related metadata (creation date, version number, name of person in charge, etc.).

[0280] 2. The terminal converts the input specifications into an appropriate format and sends it to the server.

[0281] 3. The server stores the received specification in a database.

[0282] 4. The server collects relevant materials from the database and launches the ChatGPT model to generate technical documentation.

[0283] 5. The emotion engine collects user emotion data and reflects the analysis results in the document content.

[0284] 6. The server formats the generated document and stores it in the database.

[0285] 7. The terminal receives a notification that the generated technical document is ready and displays it to the user.

[0286] 8. The user reviews the generated document and corrects / edits it as needed (adjusted based on the emotion engine's feedback).

[0287] 9. The server periodically collects new information and automatically updates the document.

[0288] 10. The device receives the update notification and displays the latest document to the user (adjusting the display based on the emotion).

[0289] 11. The user checks the updated document and corrects or edits it again if necessary.

[0290] This allows technical documents to be managed with the latest information and is also effective as training materials for new engineers.The emotion engine provides a presentation method that takes user emotions into consideration, resulting in a better user experience.

[0291] Example 2

[0292] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0293] In today's information society, efficient management of large amounts of documents is essential. However, manual document management is time-consuming, labor-intensive, and prone to errors. Furthermore, generated documents do not take into account the user's feelings, resulting in a poor user experience. Furthermore, periodic manual updates are required to keep documents up-to-date, which also places a significant burden on the system.

[0294] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving various input materials and storing them in a database, means for automatically generating documents based on the stored materials using a generative AI model, and means for acquiring and analyzing user emotion data using an emotion engine and optimizing document generation and presentation methods using the generative AI model. This enables efficient management of materials, automated document generation, and document presentation that takes user emotions into consideration.

[0295] "Materials" refers to information entered or uploaded by a User into the System, which may be in multiple formats such as PDFs, Word documents, image files, etc.

[0296] "Database" refers to an information management system for managing and storing various types of materials and associated metadata.

[0297] A "generative AI model" refers to an algorithm or system that automatically generates documents based on input materials, using natural language processing technology such as ChatGPT.

[0298] An "emotion engine" refers to technology and software that acquires and analyzes user emotional data and optimizes system operation and output content based on that data.

[0299] "Metadata" refers to supplementary information attached to materials, such as creation date, category, and keywords, that allows for efficient searching, organizing, and processing of information about the materials themselves.

[0300] "Terminal" refers to the device used by a user to input, check, and edit materials, including a PC, tablet, smartphone, etc.

[0301] "Notification" refers to a function or message that the system uses to notify the user via the terminal that information has been updated or that a new document has been created.

[0302] This invention is a system that automatically updates documents by inputting various materials. By combining a generative AI model and an emotion engine, it achieves more effective document management that takes user emotions into account. This system collects information and automatically updates documents, improving the user experience. This invention is mainly composed of a server, a terminal, and a user.

[0303] First, the user uses the device to input the data, which can be in PDF, Word document, image file, or other formats. The device then prompts the user to enter metadata, including the creation date, category, keywords, and other information. Once the user has entered the data and metadata, the device converts it into the appropriate format and sends it to the server.

[0304] The server receives the input data and metadata and stores them in a database, where the data is organized for efficient searching and processing.

[0305] Next, the server collects relevant materials from the database and launches a generative AI model (e.g., ChatGPT). The server analyzes the collected materials and generates a new document using a prompt. An example of a typical prompt used by a generative AI model is, "Using the data to create technical documentation for a new product, generate a document that meets the following requirements."

[0306] The server then launches an emotion engine to retrieve and analyze the user's emotion data, which includes the user's past feedback and current emotional state. Based on the emotion engine's analysis, the generative AI model optimizes the document's content and presentation.

[0307] The generated document is formatted in a preset format by the server and saved in a database. A notification is then sent to the terminal so that the user can be notified that the document has been generated.

[0308] The device displays the generated document to the user. The user can review the displayed document and modify or edit it as necessary. When modifying or editing, the emotion engine recognizes the user's emotions in real time and adjusts the presented content based on the results.

[0309] The server also periodically collects new information from the Internet and designated sources, which is then analyzed against existing data and reflected in the document based on importance and relevance, ensuring that the document is always up-to-date.

[0310] The device receives update notifications from the server and notifies the user that the latest document is available. The user can then review the updated document and make further corrections or edits as needed. The emotion engine provides real-time feedback based on the user's emotional changes, providing a better user experience.

[0311] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0312] Step 1:

[0313] Users use their devices to input materials, specifically by dragging and dropping materials in formats such as PDFs, Word documents, and image files onto the device. The device then prompts the user to enter metadata such as creation date, category, and keywords. The input materials and metadata are then formatted appropriately according to the file format and sent to the server.

[0314] Input: PDF, Word document, image file, metadata (creation date, category, keywords)

[0315] Output: Formatted material and metadata are sent to the server

[0316] Step 2:

[0317] The server receives the data and metadata sent from the device and stores them in a database. The data is organized for easy searching and processing. The server analyzes the data content and verifies the accuracy of the data before storing it.

[0318] Input: Formatted material and metadata

[0319] Output: Materials and metadata stored in a database

[0320] Step 3:

[0321] The server collects relevant materials from the database and launches the generative AI model ChatGPT. The server generates a new document based on the collected materials using a prompt, such as "Using the data to create technical documentation for a new product, generate a document that meets the following requirements."

[0322] Input: Related materials collected from the database, prompt sentences

[0323] Output: The new document generated.

[0324] Step 4:

[0325] The server launches the emotion engine to acquire and analyze the user's emotion data, which includes the user's past feedback and current emotional state. Based on the emotion engine's analysis results, the generative AI model optimizes the document's content and presentation.

[0326] Input: Generated new document, user sentiment data

[0327] Output: Optimized document

[0328] Step 5:

[0329] The generated document is formatted by the server into a predefined format and stored in a database, and the server sends a notification to the device that the generated document is ready.

[0330] Input: Optimized document

[0331] Output: Formatted and optimized document, notification to terminal

[0332] Step 6:

[0333] The device displays the generated document to the user, who can then review it and modify or edit it as needed. The emotion engine recognizes the user's emotions in real time and adjusts the content of the document presentation based on the results.

[0334] Input: Formatted and optimized document

[0335] Output: A displayed document that the user can view and edit.

[0336] Step 7:

[0337] The server periodically collects new information from the Internet, analyzes this new information against existing data, and incorporates it into the document based on importance and relevance, resulting in a document that contains the most up-to-date information.

[0338] Input: New information (collected from the internet or specified sources)

[0339] Output: An up-to-date document

[0340] Step 8:

[0341] The device receives update notifications from the server and notifies the user that the latest document is available. The user can then review the updated document and revise or edit it again if necessary. The emotion engine provides real-time feedback based on the user's emotional changes.

[0342] Input: Update notification, updated document

[0343] Output: The latest document that the user can view and edit.

[0344] (Application example 2)

[0345] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0346] Modern food delivery services require improved user experience and more efficient order management. In particular, improving service quality by appropriately utilizing emotional data from customers and delivery personnel is a challenge. However, existing systems struggle to efficiently analyze emotional data and provide services based on it. Furthermore, there is a lack of systems capable of generating and updating documents in real time. Therefore, there is a need to develop a system that can solve these issues and provide a better user experience.

[0347] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving various input materials and storing them in a database, means for automatically generating documents based on the stored materials using a generative AI model, and means for periodically collecting new information from the Internet or other specified information sources and automatically updating existing documents. This makes it possible to adjust the content and presentation method of generated documents based on user emotion data. In addition, by providing a system that can automatically generate and update documents in real time based on food delivery service order information and delivery person information, it is possible to improve the user experience and streamline order management.

[0348] "Materials" refers to information and data entered by the user.

[0349] A "database" refers to a data repository that allows collected materials and information to be efficiently stored, managed, and searched.

[0350] A "generative AI model" refers to an algorithm or system that uses artificial intelligence to automatically generate documents from input data.

[0351] An "emotion engine" refers to a technology that collects and analyzes user emotional data and optimizes system operation based on the results.

[0352] "Metadata" refers to data that includes information about the data's attributes, creation date, category, and other information.

[0353] "Format" refers to a format that specifies how documents or data are displayed and structured.

[0354] "Internet and other specified sources" refers to a variety of digital sources from which updated information can be gathered, such as websites, databases, and news feeds.

[0355] "Documents" refers to documents such as reports, order confirmations, and notifications that are automatically generated by generative AI models.

[0356] "User emotional data" refers to data on the emotional state analyzed from the user's feedback and reactions.

[0357] "Presentation" refers to the manner or format in which generated documents or information are displayed to the user.

[0358] The specific system for implementing the invention is a system that links a server, a terminal, and a user. This system automatically generates documents based on input materials using a generative AI model, and then analyzes the user's emotional data using an emotion engine to realize the optimal presentation method.

[0359] For the server:

[0360] The server receives the various materials uploaded by users and stores them in a database. The server uses the following software and hardware:

[0361] Software used: Database management systems (e.g., MySQL), generative AI models (e.g., GPT-4), emotion engines

[0362] Hardware used: High performance server

[0363] The server activates a generative AI model based on the stored materials and automatically generates documents. The generated documents are then formatted into an optimal structure based on the analysis of the user's emotional data obtained by the emotion engine.

[0364] For example, the server passes the following prompt to the generative AI model:

[0365] Generate a document for the following order data: OrderID: 12345, Customer: Jane Doe, Items: 2x Tacos, 1x Salsa, Delivery Address: 456 Elm Street

[0366] On a terminal:

[0367] The terminal provides an interface for users to input documents. Once the user inputs the documents, the terminal appropriately formats the data and sends it to the server. The terminal also uses the emotion data recognized by the emotion engine to display the generated document to the user.

[0368] The hardware used is a smartphone, tablet, delivery robot, etc. The software used is an application that provides an interface (e.g., a mobile application, a web application).

[0369] For users:

[0370] The user inputs materials through the terminal and checks the generated document. User feedback is analyzed in real time by the emotion engine, and the document content and presentation are optimized. Specifically, if the user expresses dissatisfaction, the system will take appropriate measures, such as adding an apology message.

[0371] This system allows for real-time management of food delivery order information and delivery staff information, and adjusts document presentation methods based on user sentiment, resulting in improved user experience and more efficient order management.

[0372] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0373] Step 1:

[0374] The server receives various materials uploaded by users and stores them in a database. The input at this stage is the materials provided by users, and the output is a database where the organized materials are stored. The server assigns metadata to the input materials and organizes them for efficient searching and processing.

[0375] Step 2:

[0376] The server collects relevant information from the database and launches the generative AI model. At this stage, the input is the information stored in the database, and the output is the generated document. Specifically, a generative AI model such as ChatGPT is used to generate a document by providing a prompt. For example, the generated prompt is as follows:

[0377] Generate a document for the following order data: OrderID: 12345, Customer: Jane Doe, Items: 2x Tacos, 1x Salsa, Delivery Address: 456 Elm Street

[0378] Step 3:

[0379] The server runs an emotion engine to acquire and analyze user emotion data. The input is user feedback and reactions, and the output is the analyzed emotion data. Specifically, it uses a library such as EmotionEngine to calculate an emotion score for user comments and feedback.

[0380] Step 4:

[0381] The server combines the generated document with the analyzed emotion data to optimize the content and presentation of the document. The input is the generated document and emotion data, and the output is an optimized document. For example, if the user's emotion is positive, a message indicating that the customer is happy is added.

[0382] Step 5:

[0383] The server saves the final document in a database and notifies the device. At this stage, the input is the optimized document and the output is the device notification.

[0384] Step 6:

[0385] The terminal receives notifications from the server and displays the generated document to the user. The input is the notification from the server, and the output is the document displayed to the user. The terminal adjusts the way the document is displayed based on the emotion data recognized by the emotion engine.

[0386] Step 7:

[0387] The user checks the generated document through the terminal and makes corrections and edits as necessary. At this stage, the input is the displayed document and the output is the corrected document. The user's feedback is analyzed in real time by the emotion engine and fed back to the server.

[0388] Step 8:

[0389] The server periodically collects new information from the Internet or other specified sources and automatically updates existing documents. The input is the newly collected information, and the output is the updated document. The server saves the updates in a database and notifies the terminal of the latest document.

[0390] Step 9:

[0391] The terminal receives the update notification and displays the latest document to the user. The input is the update notification from the server, and the output is the latest document displayed to the user. The display method is further adjusted based on the user's emotions.

[0392] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0393] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0394] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0395] [Second embodiment]

[0396] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0397] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0398] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0399] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0400] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0401] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0402] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0403] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0404] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0405] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0406] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0407] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0408] The present invention is a system that automatically updates documents by inputting various materials. This system uses a generative AI model to collect information and automatically update documents. Specific embodiments are described below.

[0409] This system mainly consists of a server, a terminal, and a user.

[0410] 1. Input of various documents

[0411] For servers

[0412] The server accepts various documents uploaded by users and stores them in a database. Each document is organized with metadata for efficient searching and processing. The server analyzes the contents of the documents and verifies the accuracy of the data as necessary.

[0413] For terminals

[0414] The terminal provides an interface for users to input materials. Once the user inputs the materials, the terminal formats the data and sends it to the server in the appropriate format. The terminal also prompts the user to input metadata.

[0415] For users

[0416] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[0417] 2. Creating documentation

[0418] For servers

[0419] The server collects relevant data from the database and launches the ChatGPT model based on that data. The ChatGPT model analyzes the collected data and automatically generates documents. The generated documents are formatted and organized according to a predefined format. The final documents are saved in the database and sent to the device.

[0420] For terminals

[0421] The terminal receives notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review it. It also provides functions that allow the user to modify and edit the document.

[0422] For users

[0423] The user can check the generated document through the terminal, modify and edit the content of the document as needed, and check the final version.

[0424] 3. Information collection and automatic document updates

[0425] For servers

[0426] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[0427] For terminals

[0428] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[0429] For users

[0430] When the user receives an update notification on their device, they can check the document with the new information reflected. They can then review the updated content and make further corrections or edits as necessary.

[0431] Specific examples

[0432] For example, suppose a company introduces this system to manage technical documentation for a new product.

[0433] The user (engineer) enters the specifications for a new product into the terminal and assigns relevant metadata (creation date, version number, name of person in charge, etc.).

[0434] The terminal formats the input specifications in a prescribed format and sends them to the server.

[0435] The server stores the received specifications in a database.

[0436] The server collects relevant technical documents from the database and runs the ChatGPT model to generate new technical documents.

[0437] The server formats the generated document according to a format and stores the formatted document in a database.

[0438] The terminal receives a notification that the generated technical document is ready and displays it to the user.

[0439] The user checks the generated document and corrects or edits it as necessary.

[0440] In this way, technical documentation can be kept up to date and can also serve as training material for new engineers.

[0441] The processing flow will be explained below.

[0442] Step 1: User enters materials

[0443] The user inputs the material using the input interface on the terminal, which includes the text as well as metadata such as the creation date, category, and keywords.

[0444] Step 2: The device formats the document and sends it to the server

[0445] The terminal converts the input data into a suitable format, which is then sent to the server along with the metadata.

[0446] Step 3: The server stores the data in a database

[0447] The server receives the data sent from the device and stores it in a database, where it is organized based on metadata for efficient search and processing.

[0448] Step 4: Server collects relevant information

[0449] The server collects the relevant information required to generate the document from the database, and the collected information is used to generate the document.

[0450] Step 5: The server launches the generative AI model

[0451] The server launches the ChatGPT model and passes the collected related materials as input data, and the ChatGPT model automatically generates documents based on these materials.

[0452] Step 6: The server renders the generated document

[0453] The documents generated by the ChatGPT model are formatted according to a predefined format by the server, and the formatted documents are organized in an easy-to-read format.

[0454] Step 7: The server saves the generated document in the database and notifies the device.

[0455] The server stores the formatted document in a database and notifies the terminal that the document generation is complete.

[0456] Step 8: The terminal displays the generated document to the user

[0457] The terminal receives the notification from the server and displays the generated document to the user, who can then check the contents of the displayed document through an easy-to-view interface.

[0458] Step 9: User modifies / edits the document

[0459] The user checks the document displayed on the terminal and modifies or edits the content as necessary. The modified or edited document is then sent back to the server and saved.

[0460] Step 10: Server collects new information

[0461] The server periodically collects new information from the Internet and designated sources, which is then matched and analyzed against existing documents.

[0462] Step 11: The server automatically updates the document

[0463] The server automatically updates existing documents based on the new information collected, and the updated documents are stored in the database and notified to the device.

[0464] Step 12: The device notifies the user and displays the updated document.

[0465] The terminal receives update notifications from the server and notifies the user that the latest document is available. The user can check the updated document through the terminal and edit it as necessary.

[0466] Example 1

[0467] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0468] In conventional document management systems, collecting and updating new information is done manually, making it difficult to keep the information up to date. The time and effort required to input and organize documents also led to problems such as reduced search and processing efficiency. Furthermore, formatting and adjusting documents after they are generated is time-consuming, making them difficult to use when users want to modify or edit them.

[0469] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0470] In this invention, the server includes means for receiving various input materials and saving them in a database, means for providing a dedicated interface for users to input materials, means for automatically generating documents based on the saved materials using a generative AI model, means for formatting the generated documents and saving them in a database in a specified format, means for periodically collecting new information from the Internet or specified information sources and automatically updating existing documents, means for notifying users of updated documents and displaying them, means for adding metadata to the input materials and organizing them for efficient searching and processing, and means for providing an interface for users to modify and edit the generated documents. This makes it possible to always maintain the latest information, efficiently organize and search materials, and create, modify, and edit documents in a user-friendly format.

[0471] "Input materials" refers to all documents, files, and related information uploaded by users to the system.

[0472] A "database" is an information management system that efficiently manages and stores various input materials and generated documents.

[0473] A "dedicated interface" is a software screen or input form designed to make it easy for users to input materials.

[0474] A "generative AI model" refers to a program that uses artificial intelligence technology to automatically generate new documents based on input materials.

[0475] "Means for automatically generating documents" refers to the process of utilizing a generative AI model to automatically create the necessary documents based on the materials entered by the user and related information in the database.

[0476] "Formatting" refers to arranging the content of the generated document in a way that is easy to read and follows a prescribed format.

[0477] "Format" refers to the particular format or layout specifications that a document must follow.

[0478] "Means of gathering new information from the Internet or designated sources" refers to programs or access methods for regularly obtaining the latest information or updated data.

[0479] "Means for automatically updating existing documents" is the process of automatically bringing currently stored documents up to date with new information collected.

[0480] An "update notification" is a message or alert that notifies the user that a document has been updated to the latest version.

[0481] "Metadata" refers to information attached to a document (e.g., creation date, category, keywords, etc.), and is data necessary for efficient searching and processing of documents.

[0482] "Searching and processing" refers to a series of procedures for quickly and accurately finding materials in a database and performing the necessary operations.

[0483] "Modification / editing interface" refers to the software features and screens that allow a user to change or add content to a generated document.

[0484] The present invention is a system that automatically updates documents by inputting various materials. This system is mainly composed of a server, a terminal, and a user, and uses a generative AI model to collect information and automatically update documents. Specific embodiments are described below.

[0485] server

[0486] The server accepts various documents uploaded by users and stores them in a database. Each document is assigned metadata to enable efficient search and processing. The server analyzes the contents of the documents and performs a verification process to confirm the accuracy of the data. The server also collects related documents from the database and launches a generative AI model (e.g., the ChatGPT model) based on them. A prompt is entered into the ChatGPT model to request document generation, and the collected documents are analyzed to automatically generate the document. The generated document is formatted according to a pre-set format and finally saved in an organized form in the database. The server also periodically collects new information from the internet and specified sources, automatically updating existing documents with the latest content.

[0487] Terminal

[0488] The terminal provides a dedicated interface for users to input materials. When users input materials using the interface, the terminal organizes the materials and sends them to the server in the appropriate format. The terminal also prompts users to enter metadata to help organize the materials. When a notification is received from the server, the terminal displays the generated document to the user, providing formatted content that makes it easy for users to review the document. In addition, the terminal also provides an interface that allows users to modify and edit the document.

[0489] User

[0490] Users input data using a dedicated interface on their device. The data entered includes metadata such as creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via their device. The user then checks the generated document and makes corrections and edits as necessary. When an update notification is received from the server, the user can check the document with the new information reflected, make further corrections and edits, and confirm the final version.

[0491] Specific examples

[0492] For example, suppose a company has implemented this system to manage technical documentation for a new product. A user (engineer) enters the specifications for the new product into a terminal and adds relevant metadata (creation date, version number, name of person in charge, etc.). The terminal formats the input specifications in a specified format and sends them to the server. The server stores the received specifications in a database, collects related technical information, launches the ChatGPT model, and generates new technical documentation. The generated documentation is then formatted by the server and saved in the database. The terminal receives a notification that the generated technical documentation is ready and displays it to the user. The user then reviews the documentation and makes any necessary corrections or edits.

[0493] Prompt Sentence Examples

[0494] "Create a new technical document based on the new product specifications entered into this system. Include the following metadata: creation date, version number, and author's name. Also, reference any related technical documents."

[0495] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0496] Step 1:

[0497] The server accepts various materials uploaded by users. The input materials include document files (e.g., PDF, Word) and image files, and the server stores these files in a database. The server also assigns metadata (creation date, category, keywords, etc.) to the uploaded materials so that they can be searched and processed efficiently.

[0498] Step 2:

[0499] The terminal provides a dedicated interface for users to input data. When users input data through the interface, the terminal formats the data and converts it into a specified format (e.g., XML, JSON). After formatting, the terminal sends the data to the server. The input is the data from the user, and the output is the formatted data.

[0500] Step 3:

[0501] The server receives the data sent from the terminal and stores it in a database. At this time, the server analyzes the content and performs necessary verification processes to confirm the accuracy of the data. The input is the formatted data sent from the terminal, and the output is the verified data stored in the database.

[0502] Step 4:

[0503] The server collects relevant material from the database and launches a generative AI model (e.g., the ChatGPT model). The server inputs the prompt sentence into the generative AI model and provides instructions for automatic generation. The generative AI model analyzes the collected material and generates a new document. The input is the relevant material in the database and the prompt sentence, and the output is the generated document.

[0504] Step 5:

[0505] The server formats the generated document according to a predefined format, specifically adjusting the text layout, font, heading style, etc. The formatted document is then saved back to the database. The input is the document from the generative AI model, and the output is the formatted document.

[0506] Step 6:

[0507] The terminal receives notifications from the server and notifies the user that the generated document is available. The terminal displays the formatted content to the user, making it easy for the user to review the document. The input is the notification from the server and the output is the document displayed to the user.

[0508] Step 7:

[0509] The user checks the generated document through the terminal. The user can modify and edit the content of the document as needed and check the final form. The input is the document displayed on the terminal, and the output is the document modified and completed by the user.

[0510] Step 8:

[0511] The server periodically collects new information from the Internet or from specified sources. This new information is stored in a database and used to update existing documents. The input is the collected new information, and the output is the updated document.

[0512] Step 9:

[0513] The server saves the updated document in the database and notifies the terminal. The terminal displays the updated document to the user, showing the differences from the previous version. The user can review the updates and make further corrections or edits as needed. The input is the updated document and notification, and the output is the latest document displayed to the user.

[0514] (Application example 1)

[0515] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0516] Document management in logistics centers is often done manually, which is time-consuming and labor-intensive, and prone to errors and updates. While logistics information needs to be updated quickly and accurately and reflected immediately in related documents, there is a lack of efficient methods to achieve this.

[0517] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0518] In this invention, the server includes means for receiving various input materials and saving them in a database, means for automatically generating documents based on the saved materials using a generative AI model, means for periodically collecting new information from the Internet or specified information sources and automatically updating existing documents, means for inputting information at the logistics center using a smart device and generating and updating documents based on that information, and means for notifying the smart device of the generated documents so that they can be displayed and modified. This enables automation of document management at the logistics center and realizes accurate and rapid information updates.

[0519] "Various input materials" refers to documents and data that users provide to the system.

[0520] A "database" is part of a system used to efficiently store, retrieve, and update information.

[0521] A "generative AI model" is an artificial intelligence model that automatically generates documents based on input data.

[0522] "Internet or designated sources" refers to the Internet or specific data sources that the server accesses to gather new information.

[0523] "Smart devices" refer to highly functional electronic devices such as smartphones and head-mounted displays.

[0524] "Means for generating and updating documents" means a method for using a generative AI model to create new documents based on input materials and periodically update their contents with the latest information.

[0525] The "means for notifying, viewing and modifying the document" is a method for sending the generated document to the user's smart device, allowing the user to view it and modify it as needed.

[0526] "Metadata" is data that provides additional information about an object, primarily used to aid efficient searching and processing.

[0527] "Logistics center" refers to a facility that stores and distributes goods.

[0528] "Means" refers to a method or device for achieving a particular purpose.

[0529] MODE FOR CARRYING OUT THE INVENTION

[0530] This invention is a system that automates document management in a logistics center and reflects the latest information in real time. This system is composed of a server, terminals (smartphones, head-mounted displays), and users.

[0531] 1. Input of various documents

[0532] For servers

[0533] The server accepts various documents uploaded by users and stores them in a database. The documents are organized with metadata for efficient search and processing. The server also analyzes the contents of the documents and checks the accuracy of the data as necessary.

[0534] For terminals

[0535] The device provides an interface for users to input data. When users input data using a smartphone or head-mounted display, the device formats the data and sends it to the server in the appropriate format. The device also prompts users to input metadata.

[0536] For users

[0537] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[0538] 2. Generating Documentation

[0539] For servers

[0540] The server collects relevant information from the database and launches a generative AI model (ChatGPT) based on that information. The generative AI model analyzes the collected information and automatically generates documents. The generated documents are formatted and organized according to a pre-defined format. The final documents are saved in the database and sent to the device.

[0541] For terminals

[0542] The terminal receives notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review it. It also provides functions that allow the user to modify and edit the document.

[0543] For users

[0544] The user can check the generated document through the terminal, modify and edit the content of the document as needed, and check the final version.

[0545] 3. Information collection and automatic document updates

[0546] For servers

[0547] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[0548] For terminals

[0549] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[0550] For users

[0551] When the user receives an update notification on their device, they can check the document with the new information reflected. They can then review the updated content and make further corrections or edits as necessary.

[0552] Techniques and examples used

[0553] The system uses the following technologies:

[0554] Hardware:

[0555] Server: A regular business server (e.g., an AWS EC2 instance from a cloud service)

[0556] Devices: Smartphones (e.g., iPhone, Android devices), head-mounted displays (e.g., AR devices)

[0557] software:

[0558] Database: Relational database (e.g. MySQL)

[0559] Generative AI model: ChatGPT (e.g., OpenAI GPT-4)

[0560] Front-end: React Native (for smartphones), Unity (for head-mounted displays)

[0561] Backend: Node.js, Express.js

[0562] Specific examples

[0563] For example, if a logistics center were to adopt this system, workers could input new inventory lists using their smartphones. The input data would be sent to a server, where a generative AI model would generate an updated inventory report. The generated report would then be sent to a smartphone or head-mounted display, allowing workers to review and modify it in real time.

[0564] Example prompt sentence:

[0565] "Please create a new inventory report based on the following information: Inventory list - Product A: 500 units, Product B: 300 units, ..."

[0566] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0567] Step 1:

[0568] Users use a smartphone or head-mounted display to input inventory and shipping information collected in the logistics center into a terminal. The terminal formats the input data, adds metadata (e.g., date and time, person in charge, category), and sends it to the server. Input is in text format, and the data sent to the server is packaged in JSON format.

[0569] Step 2:

[0570] The server receives the data sent from the device and saves it in the database. The server parses the received data in JSON format, extracts the necessary fields, and stores them in the database. At this time, it also performs basic validation to check the accuracy of the data.

[0571] Step 3:

[0572] The server collects relevant materials from the database and launches a generative AI model (ChatGPT) based on them. A prompt is input into the generative AI model, requesting it to generate a document. The prompt is created in a format that includes the content of the collected materials. The generative AI model generates a new document (e.g., inventory report, shipping instruction) based on the input materials.

[0573] Step 4:

[0574] The document output from the generative AI model is formatted on the server according to a predefined format, then the formatted document is stored in a database and a notification is sent to the device to let the user know that the document is available.

[0575] Step 5:

[0576] The terminal receives the notification from the server and displays the generated document to the user. The display interface provides the document contents in a format that is easy to check, making it easy for the user to view the document. The user can check the displayed document and make corrections as necessary.

[0577] Step 6:

[0578] The server periodically collects new information from the internet and designated sources. The collected information is analyzed against existing data and updated in the relevant document. The generative AI model is then re-entered with prompts to generate an updated version of the existing document.

[0579] Step 7:

[0580] The updated document is also formatted on the server and saved in the database. It is then sent to the device so that the user can check the document based on the latest information. After receiving the update notification, the user can check the document on the device and understand the differences from the previous version.

[0581] These steps result in efficient and accurate document management in the distribution center.

[0582] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0583] The present invention is a system that automatically updates documents by inputting various materials. By combining a generative AI model and an emotion engine, it achieves more effective document management that takes user emotions into account. This system collects information and automatically updates documents, improving the user experience. Specific embodiments are described below.

[0584] This system mainly consists of a server, a terminal, and a user.

[0585] 1. Input of various documents

[0586] For servers

[0587] The server accepts various documents uploaded by users and stores them in a database. Each document is organized with metadata for efficient searching and processing. The server analyzes the contents of the documents and verifies the accuracy of the data as necessary.

[0588] For terminals

[0589] The terminal provides an interface for users to input materials. Once the user inputs the materials, the terminal formats the data and sends it to the server in the appropriate format. The terminal also prompts the user to input metadata.

[0590] For users

[0591] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[0592] 2. Emotion recognition and documentation

[0593] For servers

[0594] The server collects relevant data from the database and launches the ChatGPT model based on that data. The ChatGPT model analyzes the collected data and automatically generates documents. The server also launches an emotion engine to acquire and analyze the user's emotion data. Based on the emotion data, the document generation and structure are optimized. The generated document is formatted and organized according to a pre-defined format. The final document is saved in the database and notified to the device.

[0595] For terminals

[0596] The device receives the notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review. It also provides functions that allow the user to modify and edit the document. The content and presentation of the document are also adjusted based on the emotional data recognized by the emotion engine.

[0597] For users

[0598] The user checks the generated document through their device. If necessary, they can modify and edit the document content and check the final version. During modification and editing, the emotion engine recognizes the user's emotions in real time and adjusts the document presentation based on the results.

[0599] 3. Information collection and automatic document updates

[0600] For servers

[0601] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[0602] For terminals

[0603] The device receives update notifications from the server and notifies the user that the latest document is available. The device also displays the updated document to the user and shows the differences from the previous version. The emotion engine also recognizes the user's emotions and optimally displays the updated document.

[0604] For users

[0605] When the user receives an update notification on their device, they can view the document with the new information updated. They can then review the updated content and make further corrections or edits as necessary. The emotion engine provides real-time feedback based on the user's emotional changes, providing a better user experience.

[0606] Specific examples

[0607] For example, suppose a company introduces this system to manage technical documentation for a new product.

[0608] The user (engineer) enters the specifications for a new product into the terminal and assigns relevant metadata (creation date, version number, name of person in charge, etc.).

[0609] The terminal formats the input specifications in a prescribed format and sends them to the server.

[0610] The server stores the received specifications in a database.

[0611] The server collects relevant technical documents from the database and runs the ChatGPT model to generate new technical documents.

[0612] The emotion engine collects and analyzes the user's emotional data and reflects it in the generated document.

[0613] The server formats the generated document according to a format and stores the formatted document in a database.

[0614] The terminal receives a notification that the generated technical document is ready and displays it to the user.

[0615] The user can review the generated document and modify or edit it as necessary. The emotion engine provides real-time feedback, and the document is presented in a way that reflects the user's emotions.

[0616] The server periodically collects new information and automatically updates existing documents.

[0617] The device receives update notifications and displays the latest document to the user, adjusting the display based on the user's emotions.

[0618] The user checks the updated document and corrects or edits it again if necessary.

[0619] In this way, technical documentation can be kept up to date and can also serve as training material for new engineers. Recognizing user emotions and generating and presenting documentation accordingly can provide a better user experience.

[0620] The processing flow will be explained below.

[0621] Step 1: User enters materials

[0622] The user inputs the material using the input interface on the terminal, which includes the text as well as metadata such as the creation date, category, and keywords.

[0623] Step 2: The device formats the document and sends it to the server

[0624] The terminal converts the input data into a suitable format, which is then sent to the server along with the metadata.

[0625] Step 3: The server stores the data in a database

[0626] The server receives the data sent from the device and stores it in a database, where it is organized based on metadata for efficient search and processing.

[0627] Step 4: Server collects relevant information

[0628] The server collects relevant materials from the database and prepares the data required to generate the document.

[0629] Step 5: The server launches the generative AI model

[0630] The server runs the ChatGPT model and passes the collected data as input data, which then automatically generates documents based on the data.

[0631] Step 6: The server starts the emotion engine

[0632] The server starts the emotion engine, acquires and analyzes the user's emotion data, and reflects this data in document generation and composition.

[0633] Step 7: The server renders the generated document

[0634] The server formats the documents generated by the ChatGPT model according to a predefined format, and the formatted documents are organized in an easy-to-read format.

[0635] Step 8: The server saves the generated document in the database and notifies the device.

[0636] The server stores the formatted document in a database and notifies the terminal that the document generation is complete.

[0637] Step 9: The terminal displays the generated document to the user

[0638] The terminal receives the notification from the server and displays the generated document to the user, with the display interface showing the content formatted to make it easier for the user to review the document.

[0639] Step 10: User reviews, modifies, and edits the document

[0640] The user checks the document displayed on the terminal and modifies or edits the content as necessary. The modified or edited document is then sent back to the server and saved.

[0641] Step 11: Server gathers new information

[0642] The server periodically collects new information from the internet and designated sources, which is then collated and analyzed with existing data.

[0643] Step 12: The server automatically updates the document

[0644] The server automatically updates existing documents based on the new information collected, and the updated documents are stored in the database and notified to the device.

[0645] Step 13: The device notifies the user and displays the updated document.

[0646] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[0647] Step 14: User reviews, modifies, and edits the updated document

[0648] The user receives an update notification on their device and can view the document with the new information reflected. If necessary, the user can modify or edit the document content again.

[0649] Specific examples

[0650] For example, if a company implemented this system to manage technical documentation for a new product:

[0651] 1. A user (engineer) inputs the specifications for a new product into a terminal and enters related metadata (creation date, version number, name of person in charge, etc.).

[0652] 2. The terminal converts the input specifications into an appropriate format and sends it to the server.

[0653] 3. The server stores the received specification in a database.

[0654] 4. The server collects relevant materials from the database and launches the ChatGPT model to generate technical documentation.

[0655] 5. The emotion engine collects user emotion data and reflects the analysis results in the document content.

[0656] 6. The server formats the generated document and stores it in the database.

[0657] 7. The terminal receives a notification that the generated technical document is ready and displays it to the user.

[0658] 8. The user reviews the generated document and corrects / edits it as needed (adjusted based on the emotion engine's feedback).

[0659] 9. The server periodically collects new information and automatically updates the document.

[0660] 10. The device receives the update notification and displays the latest document to the user (adjusting the display based on the emotion).

[0661] 11. The user checks the updated document and corrects or edits it again if necessary.

[0662] This allows technical documents to be managed with the latest information and is also effective as training materials for new engineers.The emotion engine provides a presentation method that takes user emotions into consideration, resulting in a better user experience.

[0663] Example 2

[0664] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0665] In today's information society, efficient management of large amounts of documents is essential. However, manual document management is time-consuming, labor-intensive, and prone to errors. Furthermore, generated documents do not take into account the user's feelings, resulting in a poor user experience. Furthermore, periodic manual updates are required to keep documents up-to-date, which also places a significant burden on the system.

[0666] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving various input materials and storing them in a database, means for automatically generating documents based on the stored materials using a generative AI model, and means for acquiring and analyzing user emotion data using an emotion engine and optimizing document generation and presentation methods using the generative AI model. This enables efficient management of materials, automated document generation, and document presentation that takes user emotions into consideration.

[0667] "Materials" refers to information entered or uploaded by a User into the System, which may be in multiple formats such as PDFs, Word documents, image files, etc.

[0668] "Database" refers to an information management system for managing and storing various types of materials and associated metadata.

[0669] A "generative AI model" refers to an algorithm or system that automatically generates documents based on input materials, using natural language processing technology such as ChatGPT.

[0670] An "emotion engine" refers to technology and software that acquires and analyzes user emotional data and optimizes system operation and output content based on that data.

[0671] "Metadata" refers to supplementary information attached to materials, such as creation date, category, and keywords, that allows for efficient searching, organizing, and processing of information about the materials themselves.

[0672] "Terminal" refers to the device used by a user to input, check, and edit materials, including a PC, tablet, smartphone, etc.

[0673] "Notification" refers to a function or message that the system uses to notify the user via the terminal that information has been updated or that a new document has been created.

[0674] This invention is a system that automatically updates documents by inputting various materials. By combining a generative AI model and an emotion engine, it achieves more effective document management that takes user emotions into account. This system collects information and automatically updates documents, improving the user experience. This invention is mainly composed of a server, a terminal, and a user.

[0675] First, the user uses the device to input the data, which can be in PDF, Word document, image file, or other formats. The device then prompts the user to enter metadata, including the creation date, category, keywords, and other information. Once the user has entered the data and metadata, the device converts it into the appropriate format and sends it to the server.

[0676] The server receives the input data and metadata and stores them in a database, where the data is organized for efficient searching and processing.

[0677] Next, the server collects relevant materials from the database and launches a generative AI model (e.g., ChatGPT). The server analyzes the collected materials and generates a new document using a prompt. An example of a typical prompt used by a generative AI model is, "Using the data to create technical documentation for a new product, generate a document that meets the following requirements."

[0678] The server then launches an emotion engine to retrieve and analyze the user's emotion data, which includes the user's past feedback and current emotional state. Based on the emotion engine's analysis, the generative AI model optimizes the document's content and presentation.

[0679] The generated document is formatted in a preset format by the server and saved in a database. A notification is then sent to the terminal so that the user can be notified that the document has been generated.

[0680] The device displays the generated document to the user. The user can review the displayed document and modify or edit it as necessary. When modifying or editing, the emotion engine recognizes the user's emotions in real time and adjusts the presented content based on the results.

[0681] The server also periodically collects new information from the Internet and designated sources, which is then analyzed against existing data and reflected in the document based on importance and relevance, ensuring that the document is always up-to-date.

[0682] The device receives update notifications from the server and notifies the user that the latest document is available. The user can then review the updated document and make further corrections or edits as needed. The emotion engine provides real-time feedback based on the user's emotional changes, providing a better user experience.

[0683] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0684] Step 1:

[0685] Users use their devices to input materials, specifically by dragging and dropping materials in formats such as PDFs, Word documents, and image files onto the device. The device then prompts the user to enter metadata such as creation date, category, and keywords. The input materials and metadata are then formatted appropriately according to the file format and sent to the server.

[0686] Input: PDF, Word document, image file, metadata (creation date, category, keywords)

[0687] Output: Formatted material and metadata are sent to the server

[0688] Step 2:

[0689] The server receives the data and metadata sent from the device and stores them in a database. The data is organized for easy searching and processing. The server analyzes the data content and verifies the accuracy of the data before storing it.

[0690] Input: Formatted material and metadata

[0691] Output: Materials and metadata stored in a database

[0692] Step 3:

[0693] The server collects relevant materials from the database and launches the generative AI model ChatGPT. The server generates a new document based on the collected materials using a prompt, such as "Using the data to create technical documentation for a new product, generate a document that meets the following requirements."

[0694] Input: Related materials collected from the database, prompt sentences

[0695] Output: The new document generated.

[0696] Step 4:

[0697] The server launches the emotion engine to acquire and analyze the user's emotion data, which includes the user's past feedback and current emotional state. Based on the emotion engine's analysis results, the generative AI model optimizes the document's content and presentation.

[0698] Input: Generated new document, user sentiment data

[0699] Output: Optimized document

[0700] Step 5:

[0701] The generated document is formatted by the server into a predefined format and stored in a database, and the server sends a notification to the device that the generated document is ready.

[0702] Input: Optimized document

[0703] Output: Formatted and optimized document, notification to terminal

[0704] Step 6:

[0705] The device displays the generated document to the user, who can then review it and modify or edit it as needed. The emotion engine recognizes the user's emotions in real time and adjusts the content of the document presentation based on the results.

[0706] Input: Formatted and optimized document

[0707] Output: A displayed document that the user can view and edit.

[0708] Step 7:

[0709] The server periodically collects new information from the Internet, analyzes this new information against existing data, and incorporates it into the document based on importance and relevance, resulting in a document that contains the most up-to-date information.

[0710] Input: New information (collected from the internet or specified sources)

[0711] Output: An up-to-date document

[0712] Step 8:

[0713] The device receives update notifications from the server and notifies the user that the latest document is available. The user can then review the updated document and revise or edit it again if necessary. The emotion engine provides real-time feedback based on the user's emotional changes.

[0714] Input: Update notification, updated document

[0715] Output: The latest document that the user can view and edit.

[0716] (Application example 2)

[0717] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0718] Modern food delivery services require improved user experience and more efficient order management. In particular, improving service quality by appropriately utilizing emotional data from customers and delivery personnel is a challenge. However, existing systems struggle to efficiently analyze emotional data and provide services based on it. Furthermore, there is a lack of systems capable of generating and updating documents in real time. Therefore, there is a need to develop a system that can solve these issues and provide a better user experience.

[0719] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving various input materials and storing them in a database, means for automatically generating documents based on the stored materials using a generative AI model, and means for periodically collecting new information from the Internet or other specified information sources and automatically updating existing documents. This makes it possible to adjust the content and presentation method of generated documents based on user emotion data. In addition, by providing a system that can automatically generate and update documents in real time based on food delivery service order information and delivery person information, it is possible to improve the user experience and streamline order management.

[0720] "Materials" refers to information and data entered by the user.

[0721] A "database" refers to a data repository that allows collected materials and information to be efficiently stored, managed, and searched.

[0722] A "generative AI model" refers to an algorithm or system that uses artificial intelligence to automatically generate documents from input data.

[0723] An "emotion engine" refers to a technology that collects and analyzes user emotional data and optimizes system operation based on the results.

[0724] "Metadata" refers to data that includes information about the data's attributes, creation date, category, and other information.

[0725] "Format" refers to a format that specifies how documents or data are displayed and structured.

[0726] "Internet and other specified sources" refers to a variety of digital sources from which updated information can be gathered, such as websites, databases, and news feeds.

[0727] "Documents" refers to documents such as reports, order confirmations, and notifications that are automatically generated by generative AI models.

[0728] "User emotional data" refers to data on the emotional state analyzed from the user's feedback and reactions.

[0729] "Presentation" refers to the manner or format in which generated documents or information are displayed to the user.

[0730] The specific system for implementing the invention is a system that links a server, a terminal, and a user. This system automatically generates documents based on input materials using a generative AI model, and then analyzes the user's emotional data using an emotion engine to realize the optimal presentation method.

[0731] For the server:

[0732] The server receives the various materials uploaded by users and stores them in a database. The server uses the following software and hardware:

[0733] Software used: Database management systems (e.g., MySQL), generative AI models (e.g., GPT-4), emotion engines

[0734] Hardware used: High performance server

[0735] The server activates a generative AI model based on the stored materials and automatically generates documents. The generated documents are then formatted into an optimal structure based on the analysis of the user's emotional data obtained by the emotion engine.

[0736] For example, the server passes the following prompt to the generative AI model:

[0737] Generate a document for the following order data: OrderID: 12345, Customer: Jane Doe, Items: 2x Tacos, 1x Salsa, Delivery Address: 456 Elm Street

[0738] On a terminal:

[0739] The terminal provides an interface for users to input documents. Once the user inputs the documents, the terminal appropriately formats the data and sends it to the server. The terminal also uses the emotion data recognized by the emotion engine to display the generated document to the user.

[0740] The hardware used is a smartphone, tablet, delivery robot, etc. The software used is an application that provides an interface (e.g., a mobile application, a web application).

[0741] For users:

[0742] The user inputs materials through the terminal and checks the generated document. User feedback is analyzed in real time by the emotion engine, and the document content and presentation are optimized. Specifically, if the user expresses dissatisfaction, the system will take appropriate measures, such as adding an apology message.

[0743] This system allows for real-time management of food delivery order information and delivery staff information, and adjusts document presentation methods based on user sentiment, resulting in improved user experience and more efficient order management.

[0744] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0745] Step 1:

[0746] The server receives various materials uploaded by users and stores them in a database. The input at this stage is the materials provided by users, and the output is a database where the organized materials are stored. The server assigns metadata to the input materials and organizes them for efficient searching and processing.

[0747] Step 2:

[0748] The server collects relevant information from the database and launches the generative AI model. At this stage, the input is the information stored in the database, and the output is the generated document. Specifically, a generative AI model such as ChatGPT is used to generate a document by providing a prompt. For example, the generated prompt is as follows:

[0749] Generate a document for the following order data: OrderID: 12345, Customer: Jane Doe, Items: 2x Tacos, 1x Salsa, Delivery Address: 456 Elm Street

[0750] Step 3:

[0751] The server runs an emotion engine to acquire and analyze user emotion data. The input is user feedback and reactions, and the output is the analyzed emotion data. Specifically, it uses a library such as EmotionEngine to calculate an emotion score for user comments and feedback.

[0752] Step 4:

[0753] The server combines the generated document with the analyzed emotion data to optimize the content and presentation of the document. The input is the generated document and emotion data, and the output is an optimized document. For example, if the user's emotion is positive, a message indicating that the customer is happy is added.

[0754] Step 5:

[0755] The server saves the final document in a database and notifies the device. At this stage, the input is the optimized document and the output is the device notification.

[0756] Step 6:

[0757] The terminal receives notifications from the server and displays the generated document to the user. The input is the notification from the server, and the output is the document displayed to the user. The terminal adjusts the way the document is displayed based on the emotion data recognized by the emotion engine.

[0758] Step 7:

[0759] The user checks the generated document through the terminal and makes corrections and edits as necessary. At this stage, the input is the displayed document and the output is the corrected document. The user's feedback is analyzed in real time by the emotion engine and fed back to the server.

[0760] Step 8:

[0761] The server periodically collects new information from the Internet or other specified sources and automatically updates existing documents. The input is the newly collected information, and the output is the updated document. The server saves the updates in a database and notifies the terminal of the latest document.

[0762] Step 9:

[0763] The terminal receives the update notification and displays the latest document to the user. The input is the update notification from the server, and the output is the latest document displayed to the user. The display method is further adjusted based on the user's emotions.

[0764] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0765] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0766] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0767] [Third embodiment]

[0768] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0769] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0770] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0771] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0772] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0773] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0774] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0775] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0776] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0777] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0778] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0779] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0780] The present invention is a system that automatically updates documents by inputting various materials. This system uses a generative AI model to collect information and automatically update documents. Specific embodiments are described below.

[0781] This system mainly consists of a server, a terminal, and a user.

[0782] 1. Input of various documents

[0783] For servers

[0784] The server accepts various documents uploaded by users and stores them in a database. Each document is organized with metadata for efficient searching and processing. The server analyzes the contents of the documents and verifies the accuracy of the data as necessary.

[0785] For terminals

[0786] The terminal provides an interface for users to input materials. Once the user inputs the materials, the terminal formats the data and sends it to the server in the appropriate format. The terminal also prompts the user to input metadata.

[0787] For users

[0788] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[0789] 2. Creating documentation

[0790] For servers

[0791] The server collects relevant data from the database and launches the ChatGPT model based on that data. The ChatGPT model analyzes the collected data and automatically generates documents. The generated documents are formatted and organized according to a predefined format. The final documents are saved in the database and sent to the device.

[0792] For terminals

[0793] The terminal receives notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review it. It also provides functions that allow the user to modify and edit the document.

[0794] For users

[0795] The user can check the generated document through the terminal, modify and edit the content of the document as needed, and check the final version.

[0796] 3. Information collection and automatic document updates

[0797] For servers

[0798] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[0799] For terminals

[0800] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[0801] For users

[0802] When the user receives an update notification on their device, they can check the document with the new information reflected. They can then review the updated content and make further corrections or edits as necessary.

[0803] Specific examples

[0804] For example, suppose a company introduces this system to manage technical documentation for a new product.

[0805] The user (engineer) enters the specifications for a new product into the terminal and assigns relevant metadata (creation date, version number, name of person in charge, etc.).

[0806] The terminal formats the input specifications in a prescribed format and sends them to the server.

[0807] The server stores the received specifications in a database.

[0808] The server collects relevant technical documents from the database and runs the ChatGPT model to generate new technical documents.

[0809] The server formats the generated document according to a format and stores the formatted document in a database.

[0810] The terminal receives a notification that the generated technical document is ready and displays it to the user.

[0811] The user checks the generated document and corrects or edits it as necessary.

[0812] In this way, technical documentation can be kept up to date and can also serve as training material for new engineers.

[0813] The processing flow will be explained below.

[0814] Step 1: User enters materials

[0815] The user inputs the material using the input interface on the terminal, which includes the text as well as metadata such as the creation date, category, and keywords.

[0816] Step 2: The device formats the document and sends it to the server

[0817] The terminal converts the input data into a suitable format, which is then sent to the server along with the metadata.

[0818] Step 3: The server stores the data in a database

[0819] The server receives the data sent from the device and stores it in a database, where it is organized based on metadata for efficient search and processing.

[0820] Step 4: Server collects relevant information

[0821] The server collects the relevant information required to generate the document from the database, and the collected information is used to generate the document.

[0822] Step 5: The server launches the generative AI model

[0823] The server launches the ChatGPT model and passes the collected related materials as input data, and the ChatGPT model automatically generates documents based on these materials.

[0824] Step 6: The server renders the generated document

[0825] The documents generated by the ChatGPT model are formatted according to a predefined format by the server, and the formatted documents are organized in an easy-to-read format.

[0826] Step 7: The server saves the generated document in the database and notifies the device.

[0827] The server stores the formatted document in a database and notifies the terminal that the document generation is complete.

[0828] Step 8: The terminal displays the generated document to the user

[0829] The terminal receives the notification from the server and displays the generated document to the user, who can then check the contents of the displayed document through an easy-to-view interface.

[0830] Step 9: User modifies / edits the document

[0831] The user checks the document displayed on the terminal and modifies or edits the content as necessary. The modified or edited document is then sent back to the server and saved.

[0832] Step 10: Server collects new information

[0833] The server periodically collects new information from the Internet and designated sources, which is then matched and analyzed against existing documents.

[0834] Step 11: The server automatically updates the document

[0835] The server automatically updates existing documents based on the new information collected, and the updated documents are stored in the database and notified to the device.

[0836] Step 12: The device notifies the user and displays the updated document.

[0837] The terminal receives update notifications from the server and notifies the user that the latest document is available. The user can check the updated document through the terminal and edit it as necessary.

[0838] Example 1

[0839] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0840] In conventional document management systems, collecting and updating new information is done manually, making it difficult to keep the information up to date. The time and effort required to input and organize documents also led to problems such as reduced search and processing efficiency. Furthermore, formatting and adjusting documents after they are generated is time-consuming, making them difficult to use when users want to modify or edit them.

[0841] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0842] In this invention, the server includes means for receiving various input materials and saving them in a database, means for providing a dedicated interface for users to input materials, means for automatically generating documents based on the saved materials using a generative AI model, means for formatting the generated documents and saving them in a database in a specified format, means for periodically collecting new information from the Internet or specified information sources and automatically updating existing documents, means for notifying users of updated documents and displaying them, means for adding metadata to the input materials and organizing them for efficient searching and processing, and means for providing an interface for users to modify and edit the generated documents. This makes it possible to always maintain the latest information, efficiently organize and search materials, and create, modify, and edit documents in a user-friendly format.

[0843] "Input materials" refers to all documents, files, and related information uploaded by users to the system.

[0844] A "database" is an information management system that efficiently manages and stores various input materials and generated documents.

[0845] A "dedicated interface" is a software screen or input form designed to make it easy for users to input materials.

[0846] A "generative AI model" refers to a program that uses artificial intelligence technology to automatically generate new documents based on input materials.

[0847] "Means for automatically generating documents" refers to the process of utilizing a generative AI model to automatically create the necessary documents based on the materials entered by the user and related information in the database.

[0848] "Formatting" refers to arranging the content of the generated document in a way that is easy to read and follows a prescribed format.

[0849] "Format" refers to the particular format or layout specifications that a document must follow.

[0850] "Means of gathering new information from the Internet or designated sources" refers to programs or access methods for regularly obtaining the latest information or updated data.

[0851] "Means for automatically updating existing documents" is the process of automatically bringing currently stored documents up to date with new information collected.

[0852] An "update notification" is a message or alert that notifies the user that a document has been updated to the latest version.

[0853] "Metadata" refers to information attached to a document (e.g., creation date, category, keywords, etc.), and is data necessary for efficient searching and processing of documents.

[0854] "Searching and processing" refers to a series of procedures for quickly and accurately finding materials in a database and performing the necessary operations.

[0855] "Modification / editing interface" refers to the software features and screens that allow a user to change or add content to a generated document.

[0856] The present invention is a system that automatically updates documents by inputting various materials. This system is mainly composed of a server, a terminal, and a user, and uses a generative AI model to collect information and automatically update documents. Specific embodiments are described below.

[0857] server

[0858] The server accepts various documents uploaded by users and stores them in a database. Each document is assigned metadata to enable efficient search and processing. The server analyzes the contents of the documents and performs a verification process to confirm the accuracy of the data. The server also collects related documents from the database and launches a generative AI model (e.g., the ChatGPT model) based on them. A prompt is entered into the ChatGPT model to request document generation, and the collected documents are analyzed to automatically generate the document. The generated document is formatted according to a pre-set format and finally saved in an organized form in the database. The server also periodically collects new information from the internet and specified sources, automatically updating existing documents with the latest content.

[0859] Terminal

[0860] The terminal provides a dedicated interface for users to input materials. When users input materials using the interface, the terminal organizes the materials and sends them to the server in the appropriate format. The terminal also prompts users to enter metadata to help organize the materials. When a notification is received from the server, the terminal displays the generated document to the user, providing formatted content that makes it easy for users to review the document. In addition, the terminal also provides an interface that allows users to modify and edit the document.

[0861] User

[0862] Users input data using a dedicated interface on their device. The data entered includes metadata such as creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via their device. The user then checks the generated document and makes corrections and edits as necessary. When an update notification is received from the server, the user can check the document with the new information reflected, make further corrections and edits, and confirm the final version.

[0863] Specific examples

[0864] For example, suppose a company has implemented this system to manage technical documentation for a new product. A user (engineer) enters the specifications for the new product into a terminal and adds relevant metadata (creation date, version number, name of person in charge, etc.). The terminal formats the input specifications in a specified format and sends them to the server. The server stores the received specifications in a database, collects related technical information, launches the ChatGPT model, and generates new technical documentation. The generated documentation is then formatted by the server and saved in the database. The terminal receives a notification that the generated technical documentation is ready and displays it to the user. The user then reviews the documentation and makes any necessary corrections or edits.

[0865] Prompt Sentence Examples

[0866] "Create a new technical document based on the new product specifications entered into this system. Include the following metadata: creation date, version number, and author's name. Also, reference any related technical documents."

[0867] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0868] Step 1:

[0869] The server accepts various materials uploaded by users. The input materials include document files (e.g., PDF, Word) and image files, and the server stores these files in a database. The server also assigns metadata (creation date, category, keywords, etc.) to the uploaded materials so that they can be searched and processed efficiently.

[0870] Step 2:

[0871] The terminal provides a dedicated interface for users to input data. When users input data through the interface, the terminal formats the data and converts it into a specified format (e.g., XML, JSON). After formatting, the terminal sends the data to the server. The input is the data from the user, and the output is the formatted data.

[0872] Step 3:

[0873] The server receives the data sent from the terminal and stores it in a database. At this time, the server analyzes the content and performs necessary verification processes to confirm the accuracy of the data. The input is the formatted data sent from the terminal, and the output is the verified data stored in the database.

[0874] Step 4:

[0875] The server collects relevant material from the database and launches a generative AI model (e.g., the ChatGPT model). The server inputs the prompt sentence into the generative AI model and provides instructions for automatic generation. The generative AI model analyzes the collected material and generates a new document. The input is the relevant material in the database and the prompt sentence, and the output is the generated document.

[0876] Step 5:

[0877] The server formats the generated document according to a predefined format, specifically adjusting the text layout, font, heading style, etc. The formatted document is then saved back to the database. The input is the document from the generative AI model, and the output is the formatted document.

[0878] Step 6:

[0879] The terminal receives notifications from the server and notifies the user that the generated document is available. The terminal displays the formatted content to the user, making it easy for the user to review the document. The input is the notification from the server and the output is the document displayed to the user.

[0880] Step 7:

[0881] The user checks the generated document through the terminal. The user can modify and edit the content of the document as needed and check the final form. The input is the document displayed on the terminal, and the output is the document modified and completed by the user.

[0882] Step 8:

[0883] The server periodically collects new information from the Internet or from specified sources. This new information is stored in a database and used to update existing documents. The input is the collected new information, and the output is the updated document.

[0884] Step 9:

[0885] The server saves the updated document in the database and notifies the terminal. The terminal displays the updated document to the user, showing the differences from the previous version. The user can review the updates and make further corrections or edits as needed. The input is the updated document and notification, and the output is the latest document displayed to the user.

[0886] (Application example 1)

[0887] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0888] Document management in logistics centers is often done manually, which is time-consuming and labor-intensive, and prone to errors and updates. While logistics information needs to be updated quickly and accurately and reflected immediately in related documents, there is a lack of efficient methods to achieve this.

[0889] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0890] In this invention, the server includes means for receiving various input materials and saving them in a database, means for automatically generating documents based on the saved materials using a generative AI model, means for periodically collecting new information from the Internet or specified information sources and automatically updating existing documents, means for inputting information at the logistics center using a smart device and generating and updating documents based on that information, and means for notifying the smart device of the generated documents so that they can be displayed and modified. This enables automation of document management at the logistics center and realizes accurate and rapid information updates.

[0891] "Various input materials" refers to documents and data that users provide to the system.

[0892] A "database" is part of a system used to efficiently store, retrieve, and update information.

[0893] A "generative AI model" is an artificial intelligence model that automatically generates documents based on input data.

[0894] "Internet or designated sources" refers to the Internet or specific data sources that the server accesses to gather new information.

[0895] "Smart devices" refer to highly functional electronic devices such as smartphones and head-mounted displays.

[0896] "Means for generating and updating documents" means a method for using a generative AI model to create new documents based on input materials and periodically update their contents with the latest information.

[0897] The "means for notifying, viewing and modifying the document" is a method for sending the generated document to the user's smart device, allowing the user to view it and modify it as needed.

[0898] "Metadata" is data that provides additional information about an object, primarily used to aid efficient searching and processing.

[0899] "Logistics center" refers to a facility that stores and distributes goods.

[0900] "Means" refers to a method or device for achieving a particular purpose.

[0901] MODE FOR CARRYING OUT THE INVENTION

[0902] This invention is a system that automates document management in a logistics center and reflects the latest information in real time. This system is composed of a server, terminals (smartphones, head-mounted displays), and users.

[0903] 1. Input of various documents

[0904] For servers

[0905] The server accepts various documents uploaded by users and stores them in a database. The documents are organized with metadata for efficient search and processing. The server also analyzes the contents of the documents and checks the accuracy of the data as necessary.

[0906] For terminals

[0907] The device provides an interface for users to input data. When users input data using a smartphone or head-mounted display, the device formats the data and sends it to the server in the appropriate format. The device also prompts users to input metadata.

[0908] For users

[0909] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[0910] 2. Generating Documentation

[0911] For servers

[0912] The server collects relevant information from the database and launches a generative AI model (ChatGPT) based on that information. The generative AI model analyzes the collected information and automatically generates documents. The generated documents are formatted and organized according to a pre-defined format. The final documents are saved in the database and sent to the device.

[0913] For terminals

[0914] The terminal receives notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review it. It also provides functions that allow the user to modify and edit the document.

[0915] For users

[0916] The user can check the generated document through the terminal, modify and edit the content of the document as needed, and check the final version.

[0917] 3. Information collection and automatic document updates

[0918] For servers

[0919] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[0920] For terminals

[0921] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[0922] For users

[0923] When the user receives an update notification on their device, they can check the document with the new information reflected. They can then review the updated content and make further corrections or edits as necessary.

[0924] Techniques and examples used

[0925] The system uses the following technologies:

[0926] Hardware:

[0927] Server: A regular business server (e.g., an AWS EC2 instance from a cloud service)

[0928] Devices: Smartphones (e.g., iPhone, Android devices), head-mounted displays (e.g., AR devices)

[0929] software:

[0930] Database: Relational database (e.g. MySQL)

[0931] Generative AI model: ChatGPT (e.g., OpenAI GPT-4)

[0932] Front-end: React Native (for smartphones), Unity (for head-mounted displays)

[0933] Backend: Node.js, Express.js

[0934] Specific examples

[0935] For example, if a logistics center were to adopt this system, workers could input new inventory lists using their smartphones. The input data would be sent to a server, where a generative AI model would generate an updated inventory report. The generated report would then be sent to a smartphone or head-mounted display, allowing workers to review and modify it in real time.

[0936] Example prompt sentence:

[0937] "Please create a new inventory report based on the following information: Inventory list - Product A: 500 units, Product B: 300 units, ..."

[0938] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0939] Step 1:

[0940] Users use a smartphone or head-mounted display to input inventory and shipping information collected in the logistics center into a terminal. The terminal formats the input data, adds metadata (e.g., date and time, person in charge, category), and sends it to the server. Input is in text format, and the data sent to the server is packaged in JSON format.

[0941] Step 2:

[0942] The server receives the data sent from the device and saves it in the database. The server parses the received data in JSON format, extracts the necessary fields, and stores them in the database. At this time, it also performs basic validation to check the accuracy of the data.

[0943] Step 3:

[0944] The server collects relevant materials from the database and launches a generative AI model (ChatGPT) based on them. A prompt is input into the generative AI model, requesting it to generate a document. The prompt is created in a format that includes the content of the collected materials. The generative AI model generates a new document (e.g., inventory report, shipping instruction) based on the input materials.

[0945] Step 4:

[0946] The document output from the generative AI model is formatted on the server according to a predefined format, then the formatted document is stored in a database and a notification is sent to the device to let the user know that the document is available.

[0947] Step 5:

[0948] The terminal receives the notification from the server and displays the generated document to the user. The display interface provides the document contents in a format that is easy to check, making it easy for the user to view the document. The user can check the displayed document and make corrections as necessary.

[0949] Step 6:

[0950] The server periodically collects new information from the internet and designated sources. The collected information is analyzed against existing data and updated in the relevant document. The generative AI model is then re-entered with prompts to generate an updated version of the existing document.

[0951] Step 7:

[0952] The updated document is also formatted on the server and saved in the database. It is then sent to the device so that the user can check the document based on the latest information. After receiving the update notification, the user can check the document on the device and understand the differences from the previous version.

[0953] These steps result in efficient and accurate document management in the distribution center.

[0954] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0955] The present invention is a system that automatically updates documents by inputting various materials. By combining a generative AI model and an emotion engine, it achieves more effective document management that takes user emotions into account. This system collects information and automatically updates documents, improving the user experience. Specific embodiments are described below.

[0956] This system mainly consists of a server, a terminal, and a user.

[0957] 1. Input of various documents

[0958] For servers

[0959] The server accepts various documents uploaded by users and stores them in a database. Each document is organized with metadata for efficient searching and processing. The server analyzes the contents of the documents and verifies the accuracy of the data as necessary.

[0960] For terminals

[0961] The terminal provides an interface for users to input materials. Once the user inputs the materials, the terminal formats the data and sends it to the server in the appropriate format. The terminal also prompts the user to input metadata.

[0962] For users

[0963] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[0964] 2. Emotion recognition and documentation

[0965] For servers

[0966] The server collects relevant data from the database and launches the ChatGPT model based on that data. The ChatGPT model analyzes the collected data and automatically generates documents. The server also launches an emotion engine to acquire and analyze the user's emotion data. Based on the emotion data, the document generation and structure are optimized. The generated document is formatted and organized according to a pre-defined format. The final document is saved in the database and notified to the device.

[0967] For terminals

[0968] The device receives the notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review. It also provides functions that allow the user to modify and edit the document. The content and presentation of the document are also adjusted based on the emotional data recognized by the emotion engine.

[0969] For users

[0970] The user checks the generated document through their device. If necessary, they can modify and edit the document content and check the final version. During modification and editing, the emotion engine recognizes the user's emotions in real time and adjusts the document presentation based on the results.

[0971] 3. Information collection and automatic document updates

[0972] For servers

[0973] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[0974] For terminals

[0975] The device receives update notifications from the server and notifies the user that the latest document is available. The device also displays the updated document to the user and shows the differences from the previous version. The emotion engine also recognizes the user's emotions and optimally displays the updated document.

[0976] For users

[0977] When the user receives an update notification on their device, they can view the document with the new information updated. They can then review the updated content and make further corrections or edits as necessary. The emotion engine provides real-time feedback based on the user's emotional changes, providing a better user experience.

[0978] Specific examples

[0979] For example, suppose a company introduces this system to manage technical documentation for a new product.

[0980] The user (engineer) enters the specifications for a new product into the terminal and assigns relevant metadata (creation date, version number, name of person in charge, etc.).

[0981] The terminal formats the input specifications in a prescribed format and sends them to the server.

[0982] The server stores the received specifications in a database.

[0983] The server collects relevant technical documents from the database and runs the ChatGPT model to generate new technical documents.

[0984] The emotion engine collects and analyzes the user's emotional data and reflects it in the generated document.

[0985] The server formats the generated document according to a format and stores the formatted document in a database.

[0986] The terminal receives a notification that the generated technical document is ready and displays it to the user.

[0987] The user can review the generated document and modify or edit it as necessary. The emotion engine provides real-time feedback, and the document is presented in a way that reflects the user's emotions.

[0988] The server periodically collects new information and automatically updates existing documents.

[0989] The device receives update notifications and displays the latest document to the user, adjusting the display based on the user's emotions.

[0990] The user checks the updated document and corrects or edits it again if necessary.

[0991] In this way, technical documentation can be kept up to date and can also serve as training material for new engineers. Recognizing user emotions and generating and presenting documentation accordingly can provide a better user experience.

[0992] The processing flow will be explained below.

[0993] Step 1: User enters materials

[0994] The user inputs the material using the input interface on the terminal, which includes the text as well as metadata such as the creation date, category, and keywords.

[0995] Step 2: The device formats the document and sends it to the server

[0996] The terminal converts the input data into a suitable format, which is then sent to the server along with the metadata.

[0997] Step 3: The server stores the data in a database

[0998] The server receives the data sent from the device and stores it in a database, where it is organized based on metadata for efficient search and processing.

[0999] Step 4: Server collects relevant information

[1000] The server collects relevant materials from the database and prepares the data required to generate the document.

[1001] Step 5: The server launches the generative AI model

[1002] The server runs the ChatGPT model and passes the collected data as input data, which then automatically generates documents based on the data.

[1003] Step 6: The server starts the emotion engine

[1004] The server starts the emotion engine, acquires and analyzes the user's emotion data, and reflects this data in document generation and composition.

[1005] Step 7: The server renders the generated document

[1006] The server formats the documents generated by the ChatGPT model according to a predefined format, and the formatted documents are organized in an easy-to-read format.

[1007] Step 8: The server saves the generated document in the database and notifies the device.

[1008] The server stores the formatted document in a database and notifies the terminal that the document generation is complete.

[1009] Step 9: The terminal displays the generated document to the user

[1010] The terminal receives the notification from the server and displays the generated document to the user, with the display interface showing the content formatted to make it easier for the user to review the document.

[1011] Step 10: User reviews, modifies, and edits the document

[1012] The user checks the document displayed on the terminal and modifies or edits the content as necessary. The modified or edited document is then sent back to the server and saved.

[1013] Step 11: Server gathers new information

[1014] The server periodically collects new information from the internet and designated sources, which is then collated and analyzed with existing data.

[1015] Step 12: The server automatically updates the document

[1016] The server automatically updates existing documents based on the new information collected, and the updated documents are stored in the database and notified to the device.

[1017] Step 13: The device notifies the user and displays the updated document.

[1018] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[1019] Step 14: User reviews, modifies, and edits the updated document

[1020] The user receives an update notification on their device and can view the document with the new information reflected. If necessary, the user can modify or edit the document content again.

[1021] Specific examples

[1022] For example, if a company implemented this system to manage technical documentation for a new product:

[1023] 1. A user (engineer) inputs the specifications for a new product into a terminal and enters related metadata (creation date, version number, name of person in charge, etc.).

[1024] 2. The terminal converts the input specifications into an appropriate format and sends it to the server.

[1025] 3. The server stores the received specification in a database.

[1026] 4. The server collects relevant materials from the database and launches the ChatGPT model to generate technical documentation.

[1027] 5. The emotion engine collects user emotion data and reflects the analysis results in the document content.

[1028] 6. The server formats the generated document and stores it in the database.

[1029] 7. The terminal receives a notification that the generated technical document is ready and displays it to the user.

[1030] 8. The user reviews the generated document and corrects / edits it as needed (adjusted based on the emotion engine's feedback).

[1031] 9. The server periodically collects new information and automatically updates the document.

[1032] 10. The device receives the update notification and displays the latest document to the user (adjusting the display based on the emotion).

[1033] 11. The user checks the updated document and corrects or edits it again if necessary.

[1034] This allows technical documents to be managed with the latest information and is also effective as training materials for new engineers.The emotion engine provides a presentation method that takes user emotions into consideration, resulting in a better user experience.

[1035] Example 2

[1036] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1037] In today's information society, efficient management of large amounts of documents is essential. However, manual document management is time-consuming, labor-intensive, and prone to errors. Furthermore, generated documents do not take into account the user's feelings, resulting in a poor user experience. Furthermore, periodic manual updates are required to keep documents up-to-date, which also places a significant burden on the system.

[1038] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving various input materials and storing them in a database, means for automatically generating documents based on the stored materials using a generative AI model, and means for acquiring and analyzing user emotion data using an emotion engine and optimizing document generation and presentation methods using the generative AI model. This enables efficient management of materials, automated document generation, and document presentation that takes user emotions into consideration.

[1039] "Materials" refers to information entered or uploaded by a User into the System, which may be in multiple formats such as PDFs, Word documents, image files, etc.

[1040] "Database" refers to an information management system for managing and storing various types of materials and associated metadata.

[1041] A "generative AI model" refers to an algorithm or system that automatically generates documents based on input materials, using natural language processing technology such as ChatGPT.

[1042] An "emotion engine" refers to technology and software that acquires and analyzes user emotional data and optimizes system operation and output content based on that data.

[1043] "Metadata" refers to supplementary information attached to materials, such as creation date, category, and keywords, that allows for efficient searching, organizing, and processing of information about the materials themselves.

[1044] "Terminal" refers to the device used by a user to input, check, and edit materials, including a PC, tablet, smartphone, etc.

[1045] "Notification" refers to a function or message that the system uses to notify the user via the terminal that information has been updated or that a new document has been created.

[1046] This invention is a system that automatically updates documents by inputting various materials. By combining a generative AI model and an emotion engine, it achieves more effective document management that takes user emotions into account. This system collects information and automatically updates documents, improving the user experience. This invention is mainly composed of a server, a terminal, and a user.

[1047] First, the user uses the device to input the data, which can be in PDF, Word document, image file, or other formats. The device then prompts the user to enter metadata, including the creation date, category, keywords, and other information. Once the user has entered the data and metadata, the device converts it into the appropriate format and sends it to the server.

[1048] The server receives the input data and metadata and stores them in a database, where the data is organized for efficient searching and processing.

[1049] Next, the server collects relevant materials from the database and launches a generative AI model (e.g., ChatGPT). The server analyzes the collected materials and generates a new document using a prompt. An example of a typical prompt used by a generative AI model is, "Using the data to create technical documentation for a new product, generate a document that meets the following requirements."

[1050] The server then launches an emotion engine to retrieve and analyze the user's emotion data, which includes the user's past feedback and current emotional state. Based on the emotion engine's analysis, the generative AI model optimizes the document's content and presentation.

[1051] The generated document is formatted in a preset format by the server and saved in a database. A notification is then sent to the terminal so that the user can be notified that the document has been generated.

[1052] The device displays the generated document to the user. The user can review the displayed document and modify or edit it as necessary. When modifying or editing, the emotion engine recognizes the user's emotions in real time and adjusts the presented content based on the results.

[1053] The server also periodically collects new information from the Internet and designated sources, which is then analyzed against existing data and reflected in the document based on importance and relevance, ensuring that the document is always up-to-date.

[1054] The device receives update notifications from the server and notifies the user that the latest document is available. The user can then review the updated document and make further corrections or edits as needed. The emotion engine provides real-time feedback based on the user's emotional changes, providing a better user experience.

[1055] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1056] Step 1:

[1057] Users use their devices to input materials, specifically by dragging and dropping materials in formats such as PDFs, Word documents, and image files onto the device. The device then prompts the user to enter metadata such as creation date, category, and keywords. The input materials and metadata are then formatted appropriately according to the file format and sent to the server.

[1058] Input: PDF, Word document, image file, metadata (creation date, category, keywords)

[1059] Output: Formatted material and metadata are sent to the server

[1060] Step 2:

[1061] The server receives the data and metadata sent from the device and stores them in a database. The data is organized for easy searching and processing. The server analyzes the data content and verifies the accuracy of the data before storing it.

[1062] Input: Formatted material and metadata

[1063] Output: Materials and metadata stored in a database

[1064] Step 3:

[1065] The server collects relevant materials from the database and launches the generative AI model ChatGPT. The server generates a new document based on the collected materials using a prompt, such as "Using the data to create technical documentation for a new product, generate a document that meets the following requirements."

[1066] Input: Related materials collected from the database, prompt sentences

[1067] Output: The new document generated.

[1068] Step 4:

[1069] The server launches the emotion engine to acquire and analyze the user's emotion data, which includes the user's past feedback and current emotional state. Based on the emotion engine's analysis results, the generative AI model optimizes the document's content and presentation.

[1070] Input: Generated new document, user sentiment data

[1071] Output: Optimized document

[1072] Step 5:

[1073] The generated document is formatted by the server into a predefined format and stored in a database, and the server sends a notification to the device that the generated document is ready.

[1074] Input: Optimized document

[1075] Output: Formatted and optimized document, notification to terminal

[1076] Step 6:

[1077] The device displays the generated document to the user, who can then review it and modify or edit it as needed. The emotion engine recognizes the user's emotions in real time and adjusts the content of the document presentation based on the results.

[1078] Input: Formatted and optimized document

[1079] Output: A displayed document that the user can view and edit.

[1080] Step 7:

[1081] The server periodically collects new information from the Internet, analyzes this new information against existing data, and incorporates it into the document based on importance and relevance, resulting in a document that contains the most up-to-date information.

[1082] Input: New information (collected from the internet or specified sources)

[1083] Output: An up-to-date document

[1084] Step 8:

[1085] The device receives update notifications from the server and notifies the user that the latest document is available. The user can then review the updated document and revise or edit it again if necessary. The emotion engine provides real-time feedback based on the user's emotional changes.

[1086] Input: Update notification, updated document

[1087] Output: The latest document that the user can view and edit.

[1088] (Application example 2)

[1089] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1090] Modern food delivery services require improved user experience and more efficient order management. In particular, improving service quality by appropriately utilizing emotional data from customers and delivery personnel is a challenge. However, existing systems struggle to efficiently analyze emotional data and provide services based on it. Furthermore, there is a lack of systems capable of generating and updating documents in real time. Therefore, there is a need to develop a system that can solve these issues and provide a better user experience.

[1091] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving various input materials and storing them in a database, means for automatically generating documents based on the stored materials using a generative AI model, and means for periodically collecting new information from the Internet or other specified information sources and automatically updating existing documents. This makes it possible to adjust the content and presentation method of generated documents based on user emotion data. In addition, by providing a system that can automatically generate and update documents in real time based on food delivery service order information and delivery person information, it is possible to improve the user experience and streamline order management.

[1092] "Materials" refers to information and data entered by the user.

[1093] A "database" refers to a data repository that allows collected materials and information to be efficiently stored, managed, and searched.

[1094] A "generative AI model" refers to an algorithm or system that uses artificial intelligence to automatically generate documents from input data.

[1095] An "emotion engine" refers to a technology that collects and analyzes user emotional data and optimizes system operation based on the results.

[1096] "Metadata" refers to data that includes information about the data's attributes, creation date, category, and other information.

[1097] "Format" refers to a format that specifies how documents or data are displayed and structured.

[1098] "Internet and other specified sources" refers to a variety of digital sources from which updated information can be gathered, such as websites, databases, and news feeds.

[1099] "Documents" refers to documents such as reports, order confirmations, and notifications that are automatically generated by generative AI models.

[1100] "User emotional data" refers to data on the emotional state analyzed from the user's feedback and reactions.

[1101] "Presentation" refers to the manner or format in which generated documents or information are displayed to the user.

[1102] The specific system for implementing the invention is a system that links a server, a terminal, and a user. This system automatically generates documents based on input materials using a generative AI model, and then analyzes the user's emotional data using an emotion engine to realize the optimal presentation method.

[1103] For the server:

[1104] The server receives the various materials uploaded by users and stores them in a database. The server uses the following software and hardware:

[1105] Software used: Database management systems (e.g., MySQL), generative AI models (e.g., GPT-4), emotion engines

[1106] Hardware used: High performance server

[1107] The server activates a generative AI model based on the stored materials and automatically generates documents. The generated documents are then formatted into an optimal structure based on the analysis of the user's emotional data obtained by the emotion engine.

[1108] For example, the server passes the following prompt to the generative AI model:

[1109] Generate a document for the following order data: OrderID: 12345, Customer: Jane Doe, Items: 2x Tacos, 1x Salsa, Delivery Address: 456 Elm Street

[1110] On a terminal:

[1111] The terminal provides an interface for users to input documents. Once the user inputs the documents, the terminal appropriately formats the data and sends it to the server. The terminal also uses the emotion data recognized by the emotion engine to display the generated document to the user.

[1112] The hardware used is a smartphone, tablet, delivery robot, etc. The software used is an application that provides an interface (e.g., a mobile application, a web application).

[1113] For users:

[1114] The user inputs materials through the terminal and checks the generated document. User feedback is analyzed in real time by the emotion engine, and the document content and presentation are optimized. Specifically, if the user expresses dissatisfaction, the system will take appropriate measures, such as adding an apology message.

[1115] This system allows for real-time management of food delivery order information and delivery staff information, and adjusts document presentation methods based on user sentiment, resulting in improved user experience and more efficient order management.

[1116] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1117] Step 1:

[1118] The server receives various materials uploaded by users and stores them in a database. The input at this stage is the materials provided by users, and the output is a database where the organized materials are stored. The server assigns metadata to the input materials and organizes them for efficient searching and processing.

[1119] Step 2:

[1120] The server collects relevant information from the database and launches the generative AI model. At this stage, the input is the information stored in the database, and the output is the generated document. Specifically, a generative AI model such as ChatGPT is used to generate a document by providing a prompt. For example, the generated prompt is as follows:

[1121] Generate a document for the following order data: OrderID: 12345, Customer: Jane Doe, Items: 2x Tacos, 1x Salsa, Delivery Address: 456 Elm Street

[1122] Step 3:

[1123] The server runs an emotion engine to acquire and analyze user emotion data. The input is user feedback and reactions, and the output is the analyzed emotion data. Specifically, it uses a library such as EmotionEngine to calculate an emotion score for user comments and feedback.

[1124] Step 4:

[1125] The server combines the generated document with the analyzed emotion data to optimize the content and presentation of the document. The input is the generated document and emotion data, and the output is an optimized document. For example, if the user's emotion is positive, a message indicating that the customer is happy is added.

[1126] Step 5:

[1127] The server saves the final document in a database and notifies the device. At this stage, the input is the optimized document and the output is the device notification.

[1128] Step 6:

[1129] The terminal receives notifications from the server and displays the generated document to the user. The input is the notification from the server, and the output is the document displayed to the user. The terminal adjusts the way the document is displayed based on the emotion data recognized by the emotion engine.

[1130] Step 7:

[1131] The user checks the generated document through the terminal and makes corrections and edits as necessary. At this stage, the input is the displayed document and the output is the corrected document. The user's feedback is analyzed in real time by the emotion engine and fed back to the server.

[1132] Step 8:

[1133] The server periodically collects new information from the Internet or other specified sources and automatically updates existing documents. The input is the newly collected information, and the output is the updated document. The server saves the updates in a database and notifies the terminal of the latest document.

[1134] Step 9:

[1135] The terminal receives the update notification and displays the latest document to the user. The input is the update notification from the server, and the output is the latest document displayed to the user. The display method is further adjusted based on the user's emotions.

[1136] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1137] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1138] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1139] [Fourth embodiment]

[1140] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1141] 7, a 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.

[1142] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1143] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1144] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1145] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1146] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1147] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1148] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1149] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1150] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1151] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1152] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1153] The present invention is a system that automatically updates documents by inputting various materials. This system uses a generative AI model to collect information and automatically update documents. Specific embodiments are described below.

[1154] This system mainly consists of a server, a terminal, and a user.

[1155] 1. Input of various documents

[1156] For servers

[1157] The server accepts various documents uploaded by users and stores them in a database. Each document is organized with metadata for efficient searching and processing. The server analyzes the contents of the documents and verifies the accuracy of the data as necessary.

[1158] For terminals

[1159] The terminal provides an interface for users to input materials. Once the user inputs the materials, the terminal formats the data and sends it to the server in the appropriate format. The terminal also prompts the user to input metadata.

[1160] For users

[1161] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[1162] 2. Creating documentation

[1163] For servers

[1164] The server collects relevant data from the database and launches the ChatGPT model based on that data. The ChatGPT model analyzes the collected data and automatically generates documents. The generated documents are formatted and organized according to a predefined format. The final documents are saved in the database and sent to the device.

[1165] For terminals

[1166] The terminal receives notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review it. It also provides functions that allow the user to modify and edit the document.

[1167] For users

[1168] The user can check the generated document through the terminal, modify and edit the content of the document as needed, and check the final version.

[1169] 3. Information collection and automatic document updates

[1170] For servers

[1171] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[1172] For terminals

[1173] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[1174] For users

[1175] When the user receives an update notification on their device, they can check the document with the new information reflected. They can then review the updated content and make further corrections or edits as necessary.

[1176] Specific examples

[1177] For example, suppose a company introduces this system to manage technical documentation for a new product.

[1178] The user (engineer) enters the specifications for a new product into the terminal and assigns relevant metadata (creation date, version number, name of person in charge, etc.).

[1179] The terminal formats the input specifications in a prescribed format and sends them to the server.

[1180] The server stores the received specifications in a database.

[1181] The server collects relevant technical documents from the database and runs the ChatGPT model to generate new technical documents.

[1182] The server formats the generated document according to a format and stores the formatted document in a database.

[1183] The terminal receives a notification that the generated technical document is ready and displays it to the user.

[1184] The user checks the generated document and corrects or edits it as necessary.

[1185] In this way, technical documentation can be kept up to date and can also serve as training material for new engineers.

[1186] The processing flow will be explained below.

[1187] Step 1: User enters materials

[1188] The user inputs the material using the input interface on the terminal, which includes the text as well as metadata such as the creation date, category, and keywords.

[1189] Step 2: The device formats the document and sends it to the server

[1190] The terminal converts the input data into a suitable format, which is then sent to the server along with the metadata.

[1191] Step 3: The server stores the data in a database

[1192] The server receives the data sent from the device and stores it in a database, where it is organized based on metadata for efficient search and processing.

[1193] Step 4: Server collects relevant information

[1194] The server collects the relevant information required to generate the document from the database, and the collected information is used to generate the document.

[1195] Step 5: The server launches the generative AI model

[1196] The server launches the ChatGPT model and passes the collected related materials as input data, and the ChatGPT model automatically generates documents based on these materials.

[1197] Step 6: The server renders the generated document

[1198] The documents generated by the ChatGPT model are formatted according to a predefined format by the server, and the formatted documents are organized in an easy-to-read format.

[1199] Step 7: The server saves the generated document in the database and notifies the device.

[1200] The server stores the formatted document in a database and notifies the terminal that the document generation is complete.

[1201] Step 8: The terminal displays the generated document to the user

[1202] The terminal receives the notification from the server and displays the generated document to the user, who can then check the contents of the displayed document through an easy-to-view interface.

[1203] Step 9: User modifies / edits the document

[1204] The user checks the document displayed on the terminal and modifies or edits the content as necessary. The modified or edited document is then sent back to the server and saved.

[1205] Step 10: Server collects new information

[1206] The server periodically collects new information from the Internet and designated sources, which is then matched and analyzed against existing documents.

[1207] Step 11: The server automatically updates the document

[1208] The server automatically updates existing documents based on the new information collected, and the updated documents are stored in the database and notified to the device.

[1209] Step 12: The device notifies the user and displays the updated document.

[1210] The terminal receives update notifications from the server and notifies the user that the latest document is available. The user can check the updated document through the terminal and edit it as necessary.

[1211] Example 1

[1212] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1213] In conventional document management systems, collecting and updating new information is done manually, making it difficult to keep the information up to date. The time and effort required to input and organize documents also led to problems such as reduced search and processing efficiency. Furthermore, formatting and adjusting documents after they are generated is time-consuming, making them difficult to use when users want to modify or edit them.

[1214] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1215] In this invention, the server includes means for receiving various input materials and saving them in a database, means for providing a dedicated interface for users to input materials, means for automatically generating documents based on the saved materials using a generative AI model, means for formatting the generated documents and saving them in a database in a specified format, means for periodically collecting new information from the Internet or specified information sources and automatically updating existing documents, means for notifying users of updated documents and displaying them, means for adding metadata to the input materials and organizing them for efficient searching and processing, and means for providing an interface for users to modify and edit the generated documents. This makes it possible to always maintain the latest information, efficiently organize and search materials, and create, modify, and edit documents in a user-friendly format.

[1216] "Input materials" refers to all documents, files, and related information uploaded by users to the system.

[1217] A "database" is an information management system that efficiently manages and stores various input materials and generated documents.

[1218] A "dedicated interface" is a software screen or input form designed to make it easy for users to input materials.

[1219] A "generative AI model" refers to a program that uses artificial intelligence technology to automatically generate new documents based on input materials.

[1220] "Means for automatically generating documents" refers to the process of utilizing a generative AI model to automatically create the necessary documents based on the materials entered by the user and related information in the database.

[1221] "Formatting" refers to arranging the content of the generated document in a way that is easy to read and follows a prescribed format.

[1222] "Format" refers to the particular format or layout specifications that a document must follow.

[1223] "Means of gathering new information from the Internet or designated sources" refers to programs or access methods for regularly obtaining the latest information or updated data.

[1224] "Means for automatically updating existing documents" is the process of automatically bringing currently stored documents up to date with new information collected.

[1225] An "update notification" is a message or alert that notifies the user that a document has been updated to the latest version.

[1226] "Metadata" refers to information attached to a document (e.g., creation date, category, keywords, etc.), and is data necessary for efficient searching and processing of documents.

[1227] "Searching and processing" refers to a series of procedures for quickly and accurately finding materials in a database and performing the necessary operations.

[1228] "Modification / editing interface" refers to the software features and screens that allow a user to change or add content to a generated document.

[1229] The present invention is a system that automatically updates documents by inputting various materials. This system is mainly composed of a server, a terminal, and a user, and uses a generative AI model to collect information and automatically update documents. Specific embodiments are described below.

[1230] server

[1231] The server accepts various documents uploaded by users and stores them in a database. Each document is assigned metadata to enable efficient search and processing. The server analyzes the contents of the documents and performs a verification process to confirm the accuracy of the data. The server also collects related documents from the database and launches a generative AI model (e.g., the ChatGPT model) based on them. A prompt is entered into the ChatGPT model to request document generation, and the collected documents are analyzed to automatically generate the document. The generated document is formatted according to a pre-set format and finally saved in an organized form in the database. The server also periodically collects new information from the internet and specified sources, automatically updating existing documents with the latest content.

[1232] Terminal

[1233] The terminal provides a dedicated interface for users to input materials. When users input materials using the interface, the terminal organizes the materials and sends them to the server in the appropriate format. The terminal also prompts users to enter metadata to help organize the materials. When a notification is received from the server, the terminal displays the generated document to the user, providing formatted content that makes it easy for users to review the document. In addition, the terminal also provides an interface that allows users to modify and edit the document.

[1234] User

[1235] Users input data using a dedicated interface on their device. The data entered includes metadata such as creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via their device. The user then checks the generated document and makes corrections and edits as necessary. When an update notification is received from the server, the user can check the document with the new information reflected, make further corrections and edits, and confirm the final version.

[1236] Specific examples

[1237] For example, suppose a company has implemented this system to manage technical documentation for a new product. A user (engineer) enters the specifications for the new product into a terminal and adds relevant metadata (creation date, version number, name of person in charge, etc.). The terminal formats the input specifications in a specified format and sends them to the server. The server stores the received specifications in a database, collects related technical information, launches the ChatGPT model, and generates new technical documentation. The generated documentation is then formatted by the server and saved in the database. The terminal receives a notification that the generated technical documentation is ready and displays it to the user. The user then reviews the documentation and makes any necessary corrections or edits.

[1238] Prompt Sentence Examples

[1239] "Create a new technical document based on the new product specifications entered into this system. Include the following metadata: creation date, version number, and author's name. Also, reference any related technical documents."

[1240] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1241] Step 1:

[1242] The server accepts various materials uploaded by users. The input materials include document files (e.g., PDF, Word) and image files, and the server stores these files in a database. The server also assigns metadata (creation date, category, keywords, etc.) to the uploaded materials so that they can be searched and processed efficiently.

[1243] Step 2:

[1244] The terminal provides a dedicated interface for users to input data. When users input data through the interface, the terminal formats the data and converts it into a specified format (e.g., XML, JSON). After formatting, the terminal sends the data to the server. The input is the data from the user, and the output is the formatted data.

[1245] Step 3:

[1246] The server receives the data sent from the terminal and stores it in a database. At this time, the server analyzes the content and performs necessary verification processes to confirm the accuracy of the data. The input is the formatted data sent from the terminal, and the output is the verified data stored in the database.

[1247] Step 4:

[1248] The server collects relevant material from the database and launches a generative AI model (e.g., the ChatGPT model). The server inputs the prompt sentence into the generative AI model and provides instructions for automatic generation. The generative AI model analyzes the collected material and generates a new document. The input is the relevant material in the database and the prompt sentence, and the output is the generated document.

[1249] Step 5:

[1250] The server formats the generated document according to a predefined format, specifically adjusting the text layout, font, heading style, etc. The formatted document is then saved back to the database. The input is the document from the generative AI model, and the output is the formatted document.

[1251] Step 6:

[1252] The terminal receives notifications from the server and notifies the user that the generated document is available. The terminal displays the formatted content to the user, making it easy for the user to review the document. The input is the notification from the server and the output is the document displayed to the user.

[1253] Step 7:

[1254] The user checks the generated document through the terminal. The user can modify and edit the content of the document as needed and check the final form. The input is the document displayed on the terminal, and the output is the document modified and completed by the user.

[1255] Step 8:

[1256] The server periodically collects new information from the Internet or from specified sources. This new information is stored in a database and used to update existing documents. The input is the collected new information, and the output is the updated document.

[1257] Step 9:

[1258] The server saves the updated document in the database and notifies the terminal. The terminal displays the updated document to the user, showing the differences from the previous version. The user can review the updates and make further corrections or edits as needed. The input is the updated document and notification, and the output is the latest document displayed to the user.

[1259] (Application example 1)

[1260] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1261] Document management in logistics centers is often done manually, which is time-consuming and labor-intensive, and prone to errors and updates. While logistics information needs to be updated quickly and accurately and reflected immediately in related documents, there is a lack of efficient methods to achieve this.

[1262] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1263] In this invention, the server includes means for receiving various input materials and saving them in a database, means for automatically generating documents based on the saved materials using a generative AI model, means for periodically collecting new information from the Internet or specified information sources and automatically updating existing documents, means for inputting information at the logistics center using a smart device and generating and updating documents based on that information, and means for notifying the smart device of the generated documents so that they can be displayed and modified. This enables automation of document management at the logistics center and realizes accurate and rapid information updates.

[1264] "Various input materials" refers to documents and data that users provide to the system.

[1265] A "database" is part of a system used to efficiently store, retrieve, and update information.

[1266] A "generative AI model" is an artificial intelligence model that automatically generates documents based on input data.

[1267] "Internet or designated sources" refers to the Internet or specific data sources that the server accesses to gather new information.

[1268] "Smart devices" refer to highly functional electronic devices such as smartphones and head-mounted displays.

[1269] "Means for generating and updating documents" means a method for using a generative AI model to create new documents based on input materials and periodically update their contents with the latest information.

[1270] The "means for notifying, viewing and modifying the document" is a method for sending the generated document to the user's smart device, allowing the user to view it and modify it as needed.

[1271] "Metadata" is data that provides additional information about an object, primarily used to aid efficient searching and processing.

[1272] "Logistics center" refers to a facility that stores and distributes goods.

[1273] "Means" refers to a method or device for achieving a particular purpose.

[1274] MODE FOR CARRYING OUT THE INVENTION

[1275] This invention is a system that automates document management in a logistics center and reflects the latest information in real time. This system is composed of a server, terminals (smartphones, head-mounted displays), and users.

[1276] 1. Input of various documents

[1277] For servers

[1278] The server accepts various documents uploaded by users and stores them in a database. The documents are organized with metadata for efficient search and processing. The server also analyzes the contents of the documents and checks the accuracy of the data as necessary.

[1279] For terminals

[1280] The device provides an interface for users to input data. When users input data using a smartphone or head-mounted display, the device formats the data and sends it to the server in the appropriate format. The device also prompts users to input metadata.

[1281] For users

[1282] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[1283] 2. Generating Documentation

[1284] For servers

[1285] The server collects relevant information from the database and launches a generative AI model (ChatGPT) based on that information. The generative AI model analyzes the collected information and automatically generates documents. The generated documents are formatted and organized according to a pre-defined format. The final documents are saved in the database and sent to the device.

[1286] For terminals

[1287] The terminal receives notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review it. It also provides functions that allow the user to modify and edit the document.

[1288] For users

[1289] The user can check the generated document through the terminal, modify and edit the content of the document as needed, and check the final version.

[1290] 3. Information collection and automatic document updates

[1291] For servers

[1292] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[1293] For terminals

[1294] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[1295] For users

[1296] When the user receives an update notification on their device, they can check the document with the new information reflected. They can then review the updated content and make further corrections or edits as necessary.

[1297] Techniques and examples used

[1298] The system uses the following technologies:

[1299] Hardware:

[1300] Server: A regular business server (e.g., an AWS EC2 instance from a cloud service)

[1301] Devices: Smartphones (e.g., iPhone, Android devices), head-mounted displays (e.g., AR devices)

[1302] software:

[1303] Database: Relational database (e.g. MySQL)

[1304] Generative AI model: ChatGPT (e.g., OpenAI GPT-4)

[1305] Front-end: React Native (for smartphones), Unity (for head-mounted displays)

[1306] Backend: Node.js, Express.js

[1307] Specific examples

[1308] For example, if a logistics center were to adopt this system, workers could input new inventory lists using their smartphones. The input data would be sent to a server, where a generative AI model would generate an updated inventory report. The generated report would then be sent to a smartphone or head-mounted display, allowing workers to review and modify it in real time.

[1309] Example prompt sentence:

[1310] "Please create a new inventory report based on the following information: Inventory list - Product A: 500 units, Product B: 300 units, ..."

[1311] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1312] Step 1:

[1313] Users use a smartphone or head-mounted display to input inventory and shipping information collected in the logistics center into a terminal. The terminal formats the input data, adds metadata (e.g., date and time, person in charge, category), and sends it to the server. Input is in text format, and the data sent to the server is packaged in JSON format.

[1314] Step 2:

[1315] The server receives the data sent from the device and saves it in the database. The server parses the received data in JSON format, extracts the necessary fields, and stores them in the database. At this time, it also performs basic validation to check the accuracy of the data.

[1316] Step 3:

[1317] The server collects relevant materials from the database and launches a generative AI model (ChatGPT) based on them. A prompt is input into the generative AI model, requesting it to generate a document. The prompt is created in a format that includes the content of the collected materials. The generative AI model generates a new document (e.g., inventory report, shipping instruction) based on the input materials.

[1318] Step 4:

[1319] The document output from the generative AI model is formatted on the server according to a predefined format, then the formatted document is stored in a database and a notification is sent to the device to let the user know that the document is available.

[1320] Step 5:

[1321] The terminal receives the notification from the server and displays the generated document to the user. The display interface provides the document contents in a format that is easy to check, making it easy for the user to view the document. The user can check the displayed document and make corrections as necessary.

[1322] Step 6:

[1323] The server periodically collects new information from the internet and designated sources. The collected information is analyzed against existing data and updated in the relevant document. The generative AI model is then re-entered with prompts to generate an updated version of the existing document.

[1324] Step 7:

[1325] The updated document is also formatted on the server and saved in the database. It is then sent to the device so that the user can check the document based on the latest information. After receiving the update notification, the user can check the document on the device and understand the differences from the previous version.

[1326] These steps result in efficient and accurate document management in the distribution center.

[1327] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1328] The present invention is a system that automatically updates documents by inputting various materials. By combining a generative AI model and an emotion engine, it achieves more effective document management that takes user emotions into account. This system collects information and automatically updates documents, improving the user experience. Specific embodiments are described below.

[1329] This system mainly consists of a server, a terminal, and a user.

[1330] 1. Input of various documents

[1331] For servers

[1332] The server accepts various documents uploaded by users and stores them in a database. Each document is organized with metadata for efficient searching and processing. The server analyzes the contents of the documents and verifies the accuracy of the data as necessary.

[1333] For terminals

[1334] The terminal provides an interface for users to input materials. Once the user inputs the materials, the terminal formats the data and sends it to the server in the appropriate format. The terminal also prompts the user to input metadata.

[1335] For users

[1336] Users input data using a dedicated interface on their device. The data includes metadata such as the creation date, category, and keywords. After inputting the data, the user checks the content and sends it to the server via the device.

[1337] 2. Emotion recognition and documentation

[1338] For servers

[1339] The server collects relevant data from the database and launches the ChatGPT model based on that data. The ChatGPT model analyzes the collected data and automatically generates documents. The server also launches an emotion engine to acquire and analyze the user's emotion data. Based on the emotion data, the document generation and structure are optimized. The generated document is formatted and organized according to a pre-defined format. The final document is saved in the database and notified to the device.

[1340] For terminals

[1341] The device receives the notification from the server and displays the generated document to the user. The display interface shows the document in a format that makes it easy for the user to review. It also provides functions that allow the user to modify and edit the document. The content and presentation of the document are also adjusted based on the emotional data recognized by the emotion engine.

[1342] For users

[1343] The user checks the generated document through their device. If necessary, they can modify and edit the document content and check the final version. During modification and editing, the emotion engine recognizes the user's emotions in real time and adjusts the document presentation based on the results.

[1344] 3. Information collection and automatic document updates

[1345] For servers

[1346] The server periodically collects new information from the Internet and designated sources. This information is analyzed against existing data and applied to documents based on importance and relevance. This generates an updated document with the latest information and stores it in the database.

[1347] For terminals

[1348] The device receives update notifications from the server and notifies the user that the latest document is available. The device also displays the updated document to the user and shows the differences from the previous version. The emotion engine also recognizes the user's emotions and optimally displays the updated document.

[1349] For users

[1350] When the user receives an update notification on their device, they can view the document with the new information updated. They can then review the updated content and make further corrections or edits as necessary. The emotion engine provides real-time feedback based on the user's emotional changes, providing a better user experience.

[1351] Specific examples

[1352] For example, suppose a company introduces this system to manage technical documentation for a new product.

[1353] The user (engineer) enters the specifications for a new product into the terminal and assigns relevant metadata (creation date, version number, name of person in charge, etc.).

[1354] The terminal formats the input specifications in a prescribed format and sends them to the server.

[1355] The server stores the received specifications in a database.

[1356] The server collects relevant technical documents from the database and runs the ChatGPT model to generate new technical documents.

[1357] The emotion engine collects and analyzes the user's emotional data and reflects it in the generated document.

[1358] The server formats the generated document according to a format and stores the formatted document in a database.

[1359] The terminal receives a notification that the generated technical document is ready and displays it to the user.

[1360] The user can review the generated document and modify or edit it as necessary. The emotion engine provides real-time feedback, and the document is presented in a way that reflects the user's emotions.

[1361] The server periodically collects new information and automatically updates existing documents.

[1362] The device receives update notifications and displays the latest document to the user, adjusting the display based on the user's emotions.

[1363] The user checks the updated document and corrects or edits it again if necessary.

[1364] In this way, technical documentation can be kept up to date and can also serve as training material for new engineers. Recognizing user emotions and generating and presenting documentation accordingly can provide a better user experience.

[1365] The processing flow will be explained below.

[1366] Step 1: User enters materials

[1367] The user inputs the material using the input interface on the terminal, which includes the text as well as metadata such as the creation date, category, and keywords.

[1368] Step 2: The device formats the document and sends it to the server

[1369] The terminal converts the input data into a suitable format, which is then sent to the server along with the metadata.

[1370] Step 3: The server stores the data in a database

[1371] The server receives the data sent from the device and stores it in a database, where it is organized based on metadata for efficient search and processing.

[1372] Step 4: Server collects relevant information

[1373] The server collects relevant materials from the database and prepares the data required to generate the document.

[1374] Step 5: The server launches the generative AI model

[1375] The server runs the ChatGPT model and passes the collected data as input data, which then automatically generates documents based on the data.

[1376] Step 6: The server starts the emotion engine

[1377] The server starts the emotion engine, acquires and analyzes the user's emotion data, and reflects this data in document generation and composition.

[1378] Step 7: The server renders the generated document

[1379] The server formats the documents generated by the ChatGPT model according to a predefined format, and the formatted documents are organized in an easy-to-read format.

[1380] Step 8: The server saves the generated document in the database and notifies the device.

[1381] The server stores the formatted document in a database and notifies the terminal that the document generation is complete.

[1382] Step 9: The terminal displays the generated document to the user

[1383] The terminal receives the notification from the server and displays the generated document to the user, with the display interface showing the content formatted to make it easier for the user to review the document.

[1384] Step 10: User reviews, modifies, and edits the document

[1385] The user checks the document displayed on the terminal and modifies or edits the content as necessary. The modified or edited document is then sent back to the server and saved.

[1386] Step 11: Server gathers new information

[1387] The server periodically collects new information from the internet and designated sources, which is then collated and analyzed with existing data.

[1388] Step 12: The server automatically updates the document

[1389] The server automatically updates existing documents based on the new information collected, and the updated documents are stored in the database and notified to the device.

[1390] Step 13: The device notifies the user and displays the updated document.

[1391] The terminal receives update notifications from the server and notifies the user that the latest document is available. The terminal also has the ability to display the updated document to the user and show the differences from the previous version.

[1392] Step 14: User reviews, modifies, and edits the updated document

[1393] The user receives an update notification on their device and can view the document with the new information reflected. If necessary, the user can modify or edit the document content again.

[1394] Specific examples

[1395] For example, if a company implemented this system to manage technical documentation for a new product:

[1396] 1. A user (engineer) inputs the specifications for a new product into a terminal and enters related metadata (creation date, version number, name of person in charge, etc.).

[1397] 2. The terminal converts the input specifications into an appropriate format and sends it to the server.

[1398] 3. The server stores the received specification in a database.

[1399] 4. The server collects relevant materials from the database and launches the ChatGPT model to generate technical documentation.

[1400] 5. The emotion engine collects user emotion data and reflects the analysis results in the document content.

[1401] 6. The server formats the generated document and stores it in the database.

[1402] 7. The terminal receives a notification that the generated technical document is ready and displays it to the user.

[1403] 8. The user reviews the generated document and corrects / edits it as needed (adjusted based on the emotion engine's feedback).

[1404] 9. The server periodically collects new information and automatically updates the document.

[1405] 10. The device receives the update notification and displays the latest document to the user (adjusting the display based on the emotion).

[1406] 11. The user checks the updated document and corrects or edits it again if necessary.

[1407] This allows technical documents to be managed with the latest information and is also effective as training materials for new engineers.The emotion engine provides a presentation method that takes user emotions into consideration, resulting in a better user experience.

[1408] Example 2

[1409] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1410] In today's information society, efficient management of large amounts of documents is essential. However, manual document management is time-consuming, labor-intensive, and prone to errors. Furthermore, generated documents do not take into account the user's feelings, resulting in a poor user experience. Furthermore, periodic manual updates are required to keep documents up-to-date, which also places a significant burden on the system.

[1411] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving various input materials and storing them in a database, means for automatically generating documents based on the stored materials using a generative AI model, and means for acquiring and analyzing user emotion data using an emotion engine and optimizing document generation and presentation methods using the generative AI model. This enables efficient management of materials, automated document generation, and document presentation that takes user emotions into consideration.

[1412] "Materials" refers to information entered or uploaded by a User into the System, which may be in multiple formats such as PDFs, Word documents, image files, etc.

[1413] "Database" refers to an information management system for managing and storing various types of materials and associated metadata.

[1414] A "generative AI model" refers to an algorithm or system that automatically generates documents based on input materials, using natural language processing technology such as ChatGPT.

[1415] An "emotion engine" refers to technology and software that acquires and analyzes user emotional data and optimizes system operation and output content based on that data.

[1416] "Metadata" refers to supplementary information attached to materials, such as creation date, category, and keywords, that allows for efficient searching, organizing, and processing of information about the materials themselves.

[1417] "Terminal" refers to the device used by a user to input, check, and edit materials, including a PC, tablet, smartphone, etc.

[1418] "Notification" refers to a function or message that the system uses to notify the user via the terminal that information has been updated or that a new document has been created.

[1419] This invention is a system that automatically updates documents by inputting various materials. By combining a generative AI model and an emotion engine, it achieves more effective document management that takes user emotions into account. This system collects information and automatically updates documents, improving the user experience. This invention is mainly composed of a server, a terminal, and a user.

[1420] First, the user uses the device to input the data, which can be in PDF, Word document, image file, or other formats. The device then prompts the user to enter metadata, including the creation date, category, keywords, and other information. Once the user has entered the data and metadata, the device converts it into the appropriate format and sends it to the server.

[1421] The server receives the input data and metadata and stores them in a database, where the data is organized for efficient searching and processing.

[1422] Next, the server collects relevant materials from the database and launches a generative AI model (e.g., ChatGPT). The server analyzes the collected materials and generates a new document using a prompt. An example of a typical prompt used by a generative AI model is, "Using the data to create technical documentation for a new product, generate a document that meets the following requirements."

[1423] The server then launches an emotion engine to retrieve and analyze the user's emotion data, which includes the user's past feedback and current emotional state. Based on the emotion engine's analysis, the generative AI model optimizes the document's content and presentation.

[1424] The generated document is formatted in a preset format by the server and saved in a database. A notification is then sent to the terminal so that the user can be notified that the document has been generated.

[1425] The device displays the generated document to the user. The user can review the displayed document and modify or edit it as necessary. When modifying or editing, the emotion engine recognizes the user's emotions in real time and adjusts the presented content based on the results.

[1426] The server also periodically collects new information from the Internet and designated sources, which is then analyzed against existing data and reflected in the document based on importance and relevance, ensuring that the document is always up-to-date.

[1427] The device receives update notifications from the server and notifies the user that the latest document is available. The user can then review the updated document and make further corrections or edits as needed. The emotion engine provides real-time feedback based on the user's emotional changes, providing a better user experience.

[1428] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1429] Step 1:

[1430] Users use their devices to input materials, specifically by dragging and dropping materials in formats such as PDFs, Word documents, and image files onto the device. The device then prompts the user to enter metadata such as creation date, category, and keywords. The input materials and metadata are then formatted appropriately according to the file format and sent to the server.

[1431] Input: PDF, Word document, image file, metadata (creation date, category, keywords)

[1432] Output: Formatted material and metadata are sent to the server

[1433] Step 2:

[1434] The server receives the data and metadata sent from the device and stores them in a database. The data is organized for easy searching and processing. The server analyzes the data content and verifies the accuracy of the data before storing it.

[1435] Input: Formatted material and metadata

[1436] Output: Materials and metadata stored in a database

[1437] Step 3:

[1438] The server collects relevant materials from the database and launches the generative AI model ChatGPT. The server generates a new document based on the collected materials using a prompt, such as "Using the data to create technical documentation for a new product, generate a document that meets the following requirements."

[1439] Input: Related materials collected from the database, prompt sentences

[1440] Output: The new document generated.

[1441] Step 4:

[1442] The server launches the emotion engine to acquire and analyze the user's emotion data, which includes the user's past feedback and current emotional state. Based on the emotion engine's analysis results, the generative AI model optimizes the document's content and presentation.

[1443] Input: Generated new document, user sentiment data

[1444] Output: Optimized document

[1445] Step 5:

[1446] The generated document is formatted by the server into a predefined format and stored in a database, and the server sends a notification to the device that the generated document is ready.

[1447] Input: Optimized document

[1448] Output: Formatted and optimized document, notification to terminal

[1449] Step 6:

[1450] The device displays the generated document to the user, who can then review it and modify or edit it as needed. The emotion engine recognizes the user's emotions in real time and adjusts the content of the document presentation based on the results.

[1451] Input: Formatted and optimized document

[1452] Output: A displayed document that the user can view and edit.

[1453] Step 7:

[1454] The server periodically collects new information from the Internet, analyzes this new information against existing data, and incorporates it into the document based on importance and relevance, resulting in a document that contains the most up-to-date information.

[1455] Input: New information (collected from the internet or specified sources)

[1456] Output: An up-to-date document

[1457] Step 8:

[1458] The device receives update notifications from the server and notifies the user that the latest document is available. The user can then review the updated document and revise or edit it again if necessary. The emotion engine provides real-time feedback based on the user's emotional changes.

[1459] Input: Update notification, updated document

[1460] Output: The latest document that the user can view and edit.

[1461] (Application example 2)

[1462] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1463] Modern food delivery services require improved user experience and more efficient order management. In particular, improving service quality by appropriately utilizing emotional data from customers and delivery personnel is a challenge. However, existing systems struggle to efficiently analyze emotional data and provide services based on it. Furthermore, there is a lack of systems capable of generating and updating documents in real time. Therefore, there is a need to develop a system that can solve these issues and provide a better user experience.

[1464] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving various input materials and storing them in a database, means for automatically generating documents based on the stored materials using a generative AI model, and means for periodically collecting new information from the Internet or other specified information sources and automatically updating existing documents. This makes it possible to adjust the content and presentation method of generated documents based on user emotion data. In addition, by providing a system that can automatically generate and update documents in real time based on food delivery service order information and delivery person information, it is possible to improve the user experience and streamline order management.

[1465] "Materials" refers to information and data entered by the user.

[1466] A "database" refers to a data repository that allows collected materials and information to be efficiently stored, managed, and searched.

[1467] A "generative AI model" refers to an algorithm or system that uses artificial intelligence to automatically generate documents from input data.

[1468] An "emotion engine" refers to a technology that collects and analyzes user emotional data and optimizes system operation based on the results.

[1469] "Metadata" refers to data that includes information about the data's attributes, creation date, category, and other information.

[1470] "Format" refers to a format that specifies how documents or data are displayed and structured.

[1471] "Internet and other specified sources" refers to a variety of digital sources from which updated information can be gathered, such as websites, databases, and news feeds.

[1472] "Documents" refers to documents such as reports, order confirmations, and notifications that are automatically generated by generative AI models.

[1473] "User emotional data" refers to data on the emotional state analyzed from the user's feedback and reactions.

[1474] "Presentation" refers to the manner or format in which generated documents or information are displayed to the user.

[1475] The specific system for implementing the invention is a system that links a server, a terminal, and a user. This system automatically generates documents based on input materials using a generative AI model, and then analyzes the user's emotional data using an emotion engine to realize the optimal presentation method.

[1476] For the server:

[1477] The server receives the various materials uploaded by users and stores them in a database. The server uses the following software and hardware:

[1478] Software used: Database management systems (e.g., MySQL), generative AI models (e.g., GPT-4), emotion engines

[1479] Hardware used: High performance server

[1480] The server activates a generative AI model based on the stored materials and automatically generates documents. The generated documents are then formatted into an optimal structure based on the analysis of the user's emotional data obtained by the emotion engine.

[1481] For example, the server passes the following prompt to the generative AI model:

[1482] Generate a document for the following order data: OrderID: 12345, Customer: Jane Doe, Items: 2x Tacos, 1x Salsa, Delivery Address: 456 Elm Street

[1483] On a terminal:

[1484] The terminal provides an interface for users to input documents. Once the user inputs the documents, the terminal appropriately formats the data and sends it to the server. The terminal also uses the emotion data recognized by the emotion engine to display the generated document to the user.

[1485] The hardware used is a smartphone, tablet, delivery robot, etc. The software used is an application that provides an interface (e.g., a mobile application, a web application).

[1486] For users:

[1487] The user inputs materials through the terminal and checks the generated document. User feedback is analyzed in real time by the emotion engine, and the document content and presentation are optimized. Specifically, if the user expresses dissatisfaction, the system will take appropriate measures, such as adding an apology message.

[1488] This system allows for real-time management of food delivery order information and delivery staff information, and adjusts document presentation methods based on user sentiment, resulting in improved user experience and more efficient order management.

[1489] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1490] Step 1:

[1491] The server receives various materials uploaded by users and stores them in a database. The input at this stage is the materials provided by users, and the output is a database where the organized materials are stored. The server assigns metadata to the input materials and organizes them for efficient searching and processing.

[1492] Step 2:

[1493] The server collects relevant information from the database and launches the generative AI model. At this stage, the input is the information stored in the database, and the output is the generated document. Specifically, a generative AI model such as ChatGPT is used to generate a document by providing a prompt. For example, the generated prompt is as follows:

[1494] Generate a document for the following order data: OrderID: 12345, Customer: Jane Doe, Items: 2x Tacos, 1x Salsa, Delivery Address: 456 Elm Street

[1495] Step 3:

[1496] The server runs an emotion engine to acquire and analyze user emotion data. The input is user feedback and reactions, and the output is the analyzed emotion data. Specifically, it uses a library such as EmotionEngine to calculate an emotion score for user comments and feedback.

[1497] Step 4:

[1498] The server combines the generated document with the analyzed emotion data to optimize the content and presentation of the document. The input is the generated document and emotion data, and the output is an optimized document. For example, if the user's emotion is positive, a message indicating that the customer is happy is added.

[1499] Step 5:

[1500] The server saves the final document in a database and notifies the device. At this stage, the input is the optimized document and the output is the device notification.

[1501] Step 6:

[1502] The terminal receives notifications from the server and displays the generated document to the user. The input is the notification from the server, and the output is the document displayed to the user. The terminal adjusts the way the document is displayed based on the emotion data recognized by the emotion engine.

[1503] Step 7:

[1504] The user checks the generated document through the terminal and makes corrections and edits as necessary. At this stage, the input is the displayed document and the output is the corrected document. The user's feedback is analyzed in real time by the emotion engine and fed back to the server.

[1505] Step 8:

[1506] The server periodically collects new information from the Internet or other specified sources and automatically updates existing documents. The input is the newly collected information, and the output is the updated document. The server saves the updates in a database and notifies the terminal of the latest document.

[1507] Step 9:

[1508] The terminal receives the update notification and displays the latest document to the user. The input is the update notification from the server, and the output is the latest document displayed to the user. The display method is further adjusted based on the user's emotions.

[1509] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1510] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1511] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1512] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1513] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1514] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1515] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1516] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1517] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1518] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1519] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1520] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1521] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1522] 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.

[1523] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1524] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1525] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1526] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1527] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1528] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1529] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1530] The following is further disclosed regarding the above embodiment.

[1531] (Claim 1)

[1532] A means of receiving various input data and storing them in a database;

[1533] A means of automatically generating documents based on stored materials using a generative AI model;

[1534] A means to periodically gather new information from the internet and designated sources and automatically update existing documents;

[1535] A system including:

[1536] (Claim 2)

[1537] 2. The system according to claim 1, further comprising means for adding metadata to input materials and organizing them for efficient searching and processing.

[1538] (Claim 3)

[1539] 10. The system of claim 1, further comprising means for formatting the generated document after the document is generated and displaying the document according to a preset format.

[1540] "Example 1"

[1541] (Claim 1)

[1542] A means of receiving various input data and storing them in a database;

[1543] means for providing a dedicated interface for a user to input material;

[1544] A means of automatically generating documents based on stored materials using a generative AI model;

[1545] A means for formatting the generated document and storing it in a database according to a prescribed format;

[1546] A means to periodically gather new information from the internet and designated sources and automatically update existing documents;

[1547] The system includes a means for notifying and displaying updated documents to the user.

[1548] (Claim 2)

[1549] 2. The system according to claim 1, further comprising means for adding metadata to input materials and organizing them for efficient searching and processing.

[1550] (Claim 3)

[1551] 10. The system of claim 1, further comprising means for providing an interface through which a user can modify and edit the generated document.

[1552] "Application Example 1"

[1553] New Claims

[1554] (Claim 1)

[1555] A means of receiving various input data and storing them in a database;

[1556] A means of automatically generating documents based on stored materials using a generative AI model;

[1557] A means to periodically gather new information from the internet and designated sources and automatically update existing documents;

[1558] A means for inputting information at a logistics center using a smart device and generating and updating documents based on the information;

[1559] means for communicating the generated document to a smart device to enable viewing and modification;

[1560] A system including:

[1561] (Claim 2)

[1562] 2. The system according to claim 1, further comprising means for adding metadata to input materials and organizing them for efficient searching and processing.

[1563] (Claim 3)

[1564] 10. The system of claim 1, further comprising means for formatting the generated document after the document is generated and displaying the document according to a preset format.

[1565] "Example 2: Combining Emotion Engines"

[1566] (Claim 1)

[1567] A means of receiving various input data and storing them in a database;

[1568] A means of automatically generating documents based on stored materials using a generative AI model;

[1569] A means to periodically gather new information from the internet and designated sources and automatically update existing documents;

[1570] A means to acquire and analyze user emotion data using an emotion engine, and optimize document generation and presentation methods using generative AI models.

[1571] A means for notifying the terminal of the generated document and providing it so that the user can check, modify, and edit it;

[1572] A system including:

[1573] (Claim 2)

[1574] 2. The system according to claim 1, further comprising means for adding metadata to input materials and organizing them for efficient searching and processing.

[1575] (Claim 3)

[1576] 10. The system of claim 1, further comprising means for formatting the generated document after the document is generated and displaying the document according to a preset format.

[1577] "Application example 2 when combining emotion engines"

[1578] (Claim 1)

[1579] A means of receiving various input data and storing them in a database;

[1580] A means of automatically generating documents based on stored materials using a generative AI model;

[1581] A means of periodically gathering new information from the Internet and other designated sources and automatically updating existing documents;

[1582] A means for analyzing user emotion data using an emotion engine to optimize document generation and composition;

[1583] means for formatting and displaying the generated document according to the user's preferences;

[1584] A system including:

[1585] (Claim 2)

[1586] 2. The system according to claim 1, further comprising means for adding metadata to input materials and organizing them for efficient searching and processing.

[1587] (Claim 3)

[1588] 10. The system of claim 1, further comprising means for formatting the generated document after the document is generated and displaying the document according to a preset format.

[1589] (Claim 4)

[1590] 10. The system according to claim 1, further comprising means for adjusting the content and presentation method of the generated document based on the user's emotion data.

[1591] (Claim 5)

[1592] 2. The system according to claim 1, further comprising means for automatically generating and updating documents in real time based on order information and delivery person information of a food delivery service. [Explanation of symbols]

[1593] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of receiving various input data and storing them in a database; A means of automatically generating documents based on stored materials using a generative AI model; A means to periodically gather new information from the internet and designated sources and automatically update existing documents; A system including:

2. 2. The system according to claim 1, further comprising means for adding metadata to input materials and organizing them for efficient searching and processing.

3. 10. The system of claim 1, further comprising means for formatting and displaying the generated document according to a preset format after the document is generated.

Images