system

Abstract

We provide the system. [Solution] A means for obtaining user operation information, An analysis means that analyzes the operation information acquired by the acquisition means and generates an operation procedure, A generation means that automatically creates an operation procedure generated by the analysis means as an operation document in text format, An update means that receives a user's request to change the operation document and updates the operation document based on the request for change, A management means for saving and version-controlling the aforementioned operation documents, A means for setting permissions to propose and set access permissions to the aforementioned operation document, A system that includes this.

Description

Technical Field

[0004] , ,

[0005] , , ,

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In conventional systems, it takes a great deal of time to create and update operation manuals, and it is difficult to always maintain the latest information. In addition, there are problems that the efficiency of procedures, the unified management of information, and the proper setting and management of access rights are complicatedly carried out manually, resulting in a decline in the overall operation efficiency. As a result, information duplication and security risks increase, affecting the overall productivity.

Means for Solving the Problems

[0005] This invention provides a system that automatically generates operating procedures by acquiring user operation information in real time and analyzing it. The generated operating documents are immediately updated based on user feedback, ensuring that the information is always up-to-date and optimized. Furthermore, this system enables centralized information management by unifying the storage and version control of operating documents and automating the suggestion and setting of access permissions. In addition, it includes functions to identify and recommend the most efficient procedures and information search and sharing functions, thereby improving the overall work efficiency and productivity of the organization.

[0006] "Acquisition method" refers to a function that records user operation information in real time and collects necessary data.

[0007] "Analysis means" refers to a function that analyzes operational information collected by acquisition means and derives meaningful operational procedures and patterns.

[0008] The "generation means" is a function that automatically creates a text-format operation document based on the operation procedures obtained by the analysis means.

[0009] An "update mechanism" is a function that receives user requests to change operation documents, modifies the operation documents based on those requests, and reflects the latest information.

[0010] "Management means" refers to a function that centrally manages the storage and version control of operation documents, thereby achieving unified information management.

[0011] The "permission setting mechanism" is a function responsible for appropriately proposing and setting access permissions for operation documents.

[0012] The "recommended procedure" is a function that identifies the most efficient procedure from among the multiple procedures generated and recommends it to the user.

[0013] "Sharing method" refers to a function that allows users to easily search for and share operation documents with other users. [Brief explanation of the drawing]

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

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

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

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

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

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

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

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

[0024] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0031] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] The present invention relates to a system that analyzes a user's digital operations in real time and generates, manages, and optimizes operation procedures in an automated manner. This system includes means for acquisition, analysis, generation, updating, management, permission setting, recommendation, and sharing.

[0036] System Overview

[0037] 1. Operation of acquisition means

[0038] The terminal has a function to record user operation information in real time. This allows for accurate recording of what actions the user has taken and transmission to the server.

[0039] 2. Analysis and Generation

[0040] The server analyzes the received data to understand the user's actions. Once the operation procedure is analyzed, the server automatically generates an operation document in text format based on this information.

[0041] 3. Feedback and Updates

[0042] Users can submit change requests for documented operations. The server receives these requests, determines the need for changes, and updates the relevant parts. It also manages the change history after updates, ensuring that the latest information is always available.

[0043] 4. Administration and Permission Settings

[0044] The server centrally manages operation documents, organizing them by version. It also manages which users can access each document. The server proposes access permissions based on organizational roles and departments, which are then reviewed and applied by the administrator.

[0045] 5. Optimization and Recommendations

[0046] By analyzing multiple versions of a document, the server determines which procedure is superior to others and recommends it to the user. This promotes efficient work procedures.

[0047] 6. Search and Share

[0048] Through the terminal, users can easily search for operation documents stored on the server. It also includes a function to instantly share specific documents with other users, enabling immediate information sharing.

[0049] Specific example

[0050] For example, when using new software, the terminal records a series of actions performed by user A. The server then automatically analyzes these steps and creates an operation document. Later, user B can use this document to quickly understand how to use the new software and begin working. Furthermore, if improvements are found, users can request changes through feedback, and the server will incorporate these changes, ensuring everyone is working with the latest procedures.

[0051] In this way, this system can improve work efficiency and reduce the effort required to create manuals.

[0052] The following describes the processing flow.

[0053] Step 1:

[0054] The device monitors user actions in real time, recording clicks, keyboard input, screen transitions, and other actions. The recorded data is compiled into batches at regular intervals and sent to the server.

[0055] Step 2:

[0056] The server receives operation data sent from the terminal. It analyzes the received data, assigns meaning to each operation to understand the user's steps, and grasps the structure of the operation procedure.

[0057] Step 3:

[0058] The server automatically generates operation procedures as text-based operation documents using natural language processing based on the analyzed operation steps. During this process, it appropriately describes the context and related information of the operations.

[0059] Step 4:

[0060] Users review the generated operation documents and submit feedback to ask questions or suggest improvements. This feedback is sent to the server as user comments or change requests.

[0061] Step 5:

[0062] The server analyzes the feedback received from the user and immediately reflects any necessary corrections in the document. This process updates the change history, ensuring that other users always have access to the latest version of the document.

[0063] Step 6:

[0064] The system centralizes operation documents within a server-managed database and stores them in cloud storage. Furthermore, it implements version control for each document, generating and saving a new version whenever an update occurs.

[0065] Step 7:

[0066] The server proposes access permissions for each operation document based on the roles of each organization and department. Once the user (administrator) reviews and approves the proposal, those access permissions are set.

[0067] Step 8:

[0068] The server analyzes each generated operation document to identify the most efficient procedure. It then recommends this to the user and provides suggestions for optimizing the operation.

[0069] Step 9:

[0070] The terminal allows users to search for operation documents on the server. It provides a function to narrow down results using specific keywords and instantly share related documents with other users.

[0071] (Example 1)

[0072] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0073] Traditionally, documenting user operating procedures was often done manually, making the process cumbersome and inefficient. Furthermore, determining which procedure was optimal when multiple versions of the document existed was difficult. Additionally, sharing operating documentation with others lacked speed and efficiency.

[0074] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0075] In this invention, the server includes an analysis means for analyzing received operation data and identifying operation procedures, a generation means for automatically generating operation documents in text format based on the analysis results, and a management means for organizing operation documents and performing version control. This enables efficient automation of operation procedure documentation, allowing operations to always be based on the latest and most optimal procedures, and also improves the speed of sharing and updating.

[0076] "Terminal means" refers to a device or system for detecting and recording user operations in real time.

[0077] "Transmission means" refers to a mechanism for sending operation information acquired by the terminal means to a server.

[0078] "Analysis means" refers to a function that analyzes the operation data received by the server and identifies the operation procedure from it.

[0079] The "generation means" is a mechanism that automatically generates operation documents in text format based on the analysis results.

[0080] The "update mechanism" is responsible for receiving feedback from users and updating the operation manual as needed.

[0081] A "management system" is a system for organizing operation documents and performing version control.

[0082] A "permission setting mechanism" is a system that has the function of proposing and appropriately setting access permissions to a document.

[0083] The "recommended procedure" is a function that analyzes multiple versions of the operation manual and suggests the optimal procedure to the user.

[0084] "Sharing methods" refer to processes and tools for quickly and easily sharing operational documents with other users.

[0085] This invention is a system that analyzes users' digital operations in real time and documents, manages, and optimizes the operation procedures. This system functions through the interconnectedness of terminals, servers, and users.

[0086] The terminal plays a role in recording the user's digital actions in real time. Specifically, it collects operation events as logs from applications running on the user's computer or smart device. For example, it detects when a user clicks the "Save" button in a document creation application and records that information. This data is periodically sent to the server.

[0087] The server receives and analyzes operation data sent from the terminal. During this process, it uses a generative AI model to process the data and extract the operation procedures. Based on the analyzed data, the server automatically generates an operation document in text format. This document clearly describes the operation flow and each step, in a format that anyone can understand.

[0088] Users can review the generated operation documents and submit feedback and change requests regarding their content. The server accepts this feedback and updates and manages the versions of the documents to ensure that the information is always up-to-date.

[0089] Furthermore, the server analyzes multiple versions of the generated document, identifies the optimal operating procedure, and recommends it to the user. This recommendation improves work efficiency and allows tasks to be performed according to the optimal procedure. In addition, it provides the ability to appropriately set access permissions for documents and share documents with other users as needed.

[0090] As a concrete example, when a new software tool is introduced within an organization, the initial setup sequence performed by user A is recorded by the terminal. Based on this information, the server analyzes the operation procedure, and user B can efficiently learn how to use the new tool based on the generated document.

[0091] As an example of a prompt to input into the generation AI model, using the instruction, "Record the operating procedures for the new software tool and automatically generate the operation document," makes it possible to efficiently generate the document.

[0092] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0093] Step 1:

[0094] The terminal records user activity in real time. Input is the user's application operations, and output is an operation log. The terminal monitors user events such as clicks, keystrokes, and window operations, and records this data chronologically.

[0095] Step 2:

[0096] The terminal sends recorded operation logs to the server at regular intervals. The input is the operation log, and the output is the data transmission to the server. The terminal transfers the data to the server over the network using a small amount of bandwidth. This transmission is performed in the background so as not to interfere with user operations.

[0097] Step 3:

[0098] The server analyzes the operation data it receives. The input is operation data sent from the terminal, and the output is the operation procedure as a result of the analysis. The server uses a generated AI model to analyze the operation data and identify the user's intended workflow.

[0099] Step 4:

[0100] The server generates an operation document based on the analysis results. The input is the analysis results as an operation procedure, and the output is an operation document in text format. The server uses natural language processing technology to summarize and document the operation procedure in an easy-to-understand manner. This document is automatically formatted and ready for immediate use by the user.

[0101] Step 5:

[0102] Users review the operation documentation and submit feedback. The input is the generated operation documentation, and the output is feedback and change requests. Users review the documentation, understand its content, and point out areas for improvement if necessary.

[0103] Step 6:

[0104] The server receives user feedback and updates the operation document. The input is user feedback, and the output is the updated operation document. The server analyzes the feedback, edits the document as needed, and records it as the most up-to-date information.

[0105] Step 7:

[0106] The server handles version control of generated documents. Inputs are the operation document and its updated versions, and output is a well-organized version history of the operation document. The server tracks the necessary information for each version and ensures access to past versions.

[0107] Step 8:

[0108] The server recommends the optimal procedure to the user. The input is multiple versions of the procedure document, and the output is the recommended optimal procedure. The server uses a generative AI model to compare the document versions, select the most efficient procedure, and notify the user.

[0109] Step 9:

[0110] The terminal shares operation documents with other users. The input is the operation document retrieved from the server, and the output is the shared information. The terminal sends documents to other users' terminals in a secure manner, facilitating smooth information sharing.

[0111] (Application Example 1)

[0112] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0113] Improving the efficiency of product assembly operations in factories requires the accurate and rapid optimization of complex procedures. However, current manual procedures for optimization and sharing are time-consuming and labor-intensive, creating a productivity bottleneck. Furthermore, when introducing new procedures, it is necessary to properly record and manage the process and create an environment where all members can quickly access the information.

[0114] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0115] In this invention, the server includes means for acquiring operational information, analysis means for generating operational procedures, and generation means for providing visual guides. This enables improved work efficiency by automatically optimizing the procedures for product assembly work and providing real-time feedback.

[0116] "Action information" refers to information about a series of actions and processes performed by a user, and includes data such as specific actions and operations.

[0117] "Acquisition means" refers to devices and systems for detecting and recording user activity information.

[0118] "Analysis means" refers to the technology and processes used to analyze acquired operational information and derive efficient procedures based on that data.

[0119] "Generation means" refers to functions and methods for presenting the analyzed procedures to the user as a visually easy-to-understand guide.

[0120] An "update mechanism" is a function that allows users to request revisions or provide feedback, and then update existing guides and procedures to reflect the latest content.

[0121] "Management means" refers to a system for saving generated visual guides and procedure files and for performing version control and access control.

[0122] A "permission setting method" is a process for proposing and setting access permissions for visual guides and procedures to users.

[0123] "Presentation means" refers to methods and technologies for providing real-time visual feedback to user devices.

[0124] A "suggested method" is a technique that identifies the most efficient procedure from among the analyzed procedures and recommends that procedure to the user.

[0125] "Sharing methods" refer to technologies and functions that facilitate the sharing of generated visual guides and procedures with other users.

[0126] The system for implementing this invention is designed to optimize operational procedures within a factory and enable users to receive real-time guided feedback. The system encompasses a series of processes including the acquisition, analysis, generation, updating, management, presentation, and sharing of operational information.

[0127] The server first collects information through an acquisition mechanism that obtains operational information. This involves using hardware such as motion capture devices to record the actions of each process in the factory. The collected operational information is analyzed using Python to derive the most efficient procedure. The results of this analysis are compiled into a visual guide by a generation mechanism and presented to the user's device using a technology such as Vue.js.

[0128] Users perform tasks while referring to guides presented through smart glasses or tablet devices. The server receives correction requests from users through update mechanisms and revises the process as needed. This ensures that the operating procedures within the factory are always up-to-date and optimized.

[0129] Furthermore, the management system also handles version control and access permission settings for the generated procedures, ensuring that only authorized users can access them. Using the suggestion system, the server identifies the most efficient procedure from the analyzed ones and suggests it to the user.

[0130] As a concrete example, suppose an engineer at a factory records the procedure for placing parts during the assembly of a new product. Based on this record, a server analyzes the process and creates a new procedure. An example of a prompt in this process is: "Generate the optimal procedure for the factory assembly process in real time and present it visually to the user."

[0131] In this way, the production efficiency in a factory can be improved in the embodiment of the present invention.

[0132] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0133] Step 1:

[0134] The terminal uses a motion capture device to acquire real-time information about the user's movements in the factory. Input includes the user's specific actions and operations. Output is the acquired motion data, which is sent to the server.

[0135] Step 2:

[0136] The server uses Python to perform data analysis based on the received operational information. The input is the operational data obtained in step 1, and the output is the analyzed, efficient procedure. Specifically, it performs statistical analysis and pattern recognition of the data to extract the optimal procedure.

[0137] Step 3:

[0138] The server creates a visual guide based on the analysis results. The input is the efficient procedure obtained in step 2, and the output is a visual guide that the user can review. Specifically, it visualizes the procedure using Vue.js and sends it to the device.

[0139] Step 4:

[0140] The user receives visual guidance through smart glasses or a tablet device. The input is the visual guidance generated in step 3, and the output is the user's execution of the procedure and feedback. Specifically, the user follows the guide to complete the task.

[0141] Step 5:

[0142] Users submit revision requests and feedback regarding the guide through a terminal. The input is the user's revision requests and feedback, and the output is this information. The terminal sends this to the server.

[0143] Step 6:

[0144] The server receives correction requests from users using update mechanisms, re-evaluates the guide content, and makes necessary revisions. The input is the correction request obtained in step 5, and the output is the updated visual guide. During this process, the guide is reorganized and data is adjusted.

[0145] Step 7:

[0146] The server records the updated procedure using a management system and shares it with other users as needed. The input is the visual guide updated in step 6, and the output is a shareable procedure document reflecting the updates. Specifically, it involves registering the changes in the version control system.

[0147] Step 8:

[0148] The server uses a suggestion mechanism to select the most efficient procedure from the analyzed steps and proposes it to the user. The input is the procedure data analyzed in step 2, and the output is the procedure as an improvement suggestion. Specifically, it executes an AI-powered procedure recommendation process.

[0149] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0150] This invention is a system that, in addition to a function to collect and analyze user operation information and automatically generate operation documents, incorporates an emotion engine that recognizes user emotions. The aim of this system is to smoothly support user operations and provide a more user-friendly environment.

[0151] System Overview

[0152] 1. Acquisition and analysis of operation information

[0153] The terminal records user operation information in real time and sends it to the server. This allows for accurate capture of the user's operation steps.

[0154] 2. Generating and updating operation documents

[0155] The server analyzes the received operation information and automatically generates operation documents based on it. The generated documents are updated as needed based on user feedback.

[0156] 3. Emotion recognition by an emotion engine

[0157] The emotion engine built into the device analyzes the user's facial expressions and voice to recognize their emotional state in real time.

[0158] 4. Adjusting presentation methods based on emotions

[0159] The server receives emotion data from the emotion engine and adjusts how the user interaction documents are displayed according to the user's emotions. For example, if the server determines that the user is confused, it will provide more detailed explanations or guides.

[0160] 5. Feedback and improved usability

[0161] The server integrates and analyzes emotional and operational data to generate feedback that improves the overall usability of the system. This feedback is then used for system improvement.

[0162] Specific example

[0163] For example, if user A is trying out new software and shows a confused expression, the emotion engine installed in the device recognizes that emotion. Based on this information, the server breaks down the generated operation document into more detailed steps and displays them in an easy-to-understand manner for the user. Furthermore, after user A provides feedback, a comprehensive analysis including emotion data is performed to improve the user experience going forward.

[0164] In this way, this system, which incorporates an emotion engine, provides flexible support tailored to user needs, enabling improvements in work efficiency and user satisfaction.

[0165] The following describes the processing flow.

[0166] Step 1:

[0167] The terminal monitors user actions, recording mouse clicks and keyboard input. This operation data is then compiled at regular time intervals.

[0168] Step 2:

[0169] The device collects emotional data in real time from the user's face and voice. An emotion engine analyzes this data to determine the user's emotional state.

[0170] Step 3:

[0171] The device sends operation data and emotion data to the server. Emotion data includes information indicating what emotions the user is experiencing during the operation.

[0172] Step 4:

[0173] The server analyzes the operation data to understand the user's operating procedures. Based on the analysis results, it automatically generates an operation document in text format that records the operating procedures.

[0174] Step 5:

[0175] The server receives emotion data and adjusts how the operation documents are displayed based on the user's current emotional state. The level of detail in the explanations and the clarity of the procedures are changed according to the emotion.

[0176] Step 6:

[0177] Users can view the instruction manual and submit feedback if they find the instructions unclear or identify areas for improvement. This feedback then communicates requests for changes to the instruction manual to the server.

[0178] Step 7:

[0179] The server analyzes the feedback, identifies the changes in the document, and updates it immediately. These updates are then reflected for other users as well.

[0180] Step 8:

[0181] The server integrates and analyzes operational and emotional data to identify areas for improvement across the entire system. This allows for the implementation of countermeasures to enhance the future user experience.

[0182] Step 9:

[0183] Using the terminal, users can search for generated operation documents at any time and share them with other users as needed. The search function provides a user-friendly interface.

[0184] (Example 2)

[0185] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0186] This invention aims to solve the problem of users becoming confused or stressed when using complex operating procedures or new applications. Conventional systems lacked support that considered the user's emotions, which degraded the quality of the user experience. There was a need for a means to provide appropriate support that took emotions into account.

[0187] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0188] In this invention, the server includes means for analyzing the user's facial expressions and voice to detect emotions, means for adjusting the display method of the operation document based on the detected emotions, and means for updating the operation document based on change requests. This enables flexible support that responds to the user's emotions.

[0189] "User" refers to an individual or group that operates the system or uses its functions.

[0190] "Operation information" refers to a series of input data and operation history generated when a user uses the system.

[0191] "Device" refers to a set of hardware or software components configured to perform a specific function or role.

[0192] "Text-based operation documentation" refers to a guide or manual written in text format to help users understand the procedures for operating the system.

[0193] A "change request" refers to a formal application or proposal made by a user to modify or improve the content of the current operation document.

[0194] "Access rights" refer to the permissions and restrictions that define the extent to which a particular user is permitted to access or manipulate a system or data.

[0195] "Facial expression" refers to the visual changes that appear on a user's face and is one of the elements that reflect their emotional state.

[0196] "Voice" refers to the voice spoken by the user, and is one of the elements that reflects their emotional state and intentions.

[0197] "Emotion detection" refers to the process of determining a person's emotional state from their facial expressions and voice.

[0198] "Adjusting the display method" refers to the process of optimizing the format and content of information displayed on the screen according to the user's specific emotional state.

[0199] This invention collects and analyzes user interaction information when a user operates a system, recognizes emotions as needed, and generates and updates interaction documents based on that information. This system includes a dedicated terminal and server.

[0200] The device is equipped with a function to collect user operation information in real time. This information collection includes input data from the keyboard and mouse, as well as touchscreen operation data. Furthermore, the device is equipped with a camera and microphone, which are used to detect the user's facial expressions and voice, and processed by emotion analysis software. The emotion analysis software uses algorithms to distinguish the user's emotions, such as joy, anger, sadness, and happiness, and estimates their emotional state in real time.

[0201] The server receives operation information and sentiment data transmitted from the terminal. A database management system and machine learning models are used to analyze this data. Based on the operation information, the server utilizes a generative AI model to generate operation documents for the user. These operation documents are provided in text format and can be automatically updated. The server also has the flexibility to use sentiment data to display the most appropriate document based on the user's situation.

[0202] For example, if a user shows a confused expression during software installation, the terminal detects this state. This emotion data is sent, and the server refines the operation instructions and displays step-by-step guides on the screen to support the user. An example of a prompt message is, "Please suggest how to adjust the operation instructions if the user shows a confused expression while operating new software."

[0203] This system allows users to enjoy an intuitive and stress-free operating experience, enabling them to utilize the system more efficiently.

[0204] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0205] Step 1:

[0206] The terminal collects user activity information. This includes detecting keyboard input, mouse clicks, and touchscreen gestures. The input is recorded as a time-stamped activity log and stored in a database. This allows for detailed tracking of the type and sequence of operations.

[0207] Step 2:

[0208] The terminal sends collected operation information to the server. This transmission occurs at regular time intervals, and the data is sent in batches. The input is the operation log data collected in the previous step, and the output is a data stream converted into a format that can be processed on the server. This allows for efficient data integration and analysis.

[0209] Step 3:

[0210] The server analyzes the received operation information and automatically generates operation documents using a generation AI model. The input is the transmitted operation log data. To analyze this data, the server performs frequency analysis and pattern recognition, and outputs the generated operation document. This document is structured in a user-friendly format and visually presents the operation procedure.

[0211] Step 4:

[0212] The device uses a camera and microphone to detect the user's facial expressions and voice in real time. Input consists of camera video and audio data. The device uses emotion analysis software to infer the user's emotional state from this data and sends it to a server. Output is emotion data indicating the detected emotion.

[0213] Step 5:

[0214] The server adjusts how the instruction manual is displayed based on the received emotion data. The input is emotion data obtained through emotion analysis. Based on this data, the server reconstructs the instruction manual, adding detailed explanations and guides, for example, if the user is confused. The output is a customized instruction manual tailored to the user's abilities and emotional state.

[0215] Step 6:

[0216] Users provide feedback after using the system. The server collects this feedback and analyzes it in conjunction with sentiment and operation data. The input is user feedback. Based on the analysis, the server identifies areas for system improvement and enhances the overall usability of the system. The output is insights that will be useful for future development.

[0217] (Application Example 2)

[0218] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0219] When drivers operate autonomous vehicles, the information provided may not be appropriate. Furthermore, presenting information without considering the driver's emotional state can lead to misunderstandings and anxiety. This is problematic because it can compromise the driver's comfort and sense of security.

[0220] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0221] In this invention, the server includes acquisition means for acquiring user operation information, emotion acquisition means for acquiring user emotion information, and presentation adjustment means for adjusting the presentation method based on the acquired emotion information. As a result, the presentation of driver operation documents and guides is optimized according to the driver's emotional state, enabling a safer and more comfortable autonomous driving experience.

[0222] "Means of acquisition" refers to a device or method for collecting user operation information.

[0223] "Analysis means" refers to a process or apparatus for analyzing operational information obtained by acquisition means and generating operational procedures.

[0224] The "generation means" is a mechanism that documents the analyzed operating procedures and automatically creates an operating document in text format.

[0225] An "update mechanism" is a system for modifying and updating operation documents to reflect change requests from users.

[0226] "Management means" refers to a process or device for saving operational documents and managing their versions.

[0227] A "permission setting mechanism" is a means for determining and setting access permissions to operation documents.

[0228] "Means for acquiring emotions" refers to a device or method for collecting emotional information from users.

[0229] "Presentation adjustment means" refers to a process or device that adjusts the approach to information presentation or operation guidance based on acquired emotional information.

[0230] The system for carrying out this invention consists of a specific hardware and software integrated into one. The terminal acquires user operation information and emotion information in real time and transmits this data to a server. Specifically, an interface device (e.g., touchscreen, keyboard) is used to acquire operation information, and a sensor device such as a camera or microphone is used to acquire emotion information. It is desirable to use emotion recognition software for emotion recognition.

[0231] The server executes an analysis algorithm to analyze the received operation information and automatically documents the operation procedure using a generation mechanism. The operation document can be customized for the user using a generation AI model. Furthermore, an update mechanism updates the document as needed based on user feedback, and access is restricted to authorized personnel through an access control mechanism.

[0232] The presentation adjustment mechanism plays a role in improving the overall usability and satisfaction of the system by adjusting the approach to information presentation and operation guidance based on the user's emotional information obtained by the emotion acquisition mechanism. This system allows for the immediate display of detailed explanations even if the driver becomes confused while operating a complex autonomous vehicle.

[0233] For example, if a driver is trying to follow the navigation system's instructions but shows signs of confusion while operating the interface, the presentation adjustment mechanism will provide additional guidance and visual aids to support the driver in performing the correct operation. An example of a prompt to the generated AI model would be, "The user appears to be lost at a highway junction. If necessary, please provide detailed guidance on turning right," thus appropriately guiding the system to the required action.

[0234] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0235] Step 1:

[0236] The terminal acquires user operation information from interface devices (e.g., touchscreen, keyboard). This input information consists of event data from user touches and button presses. The terminal collects this information in real time, converts it to a digital format, and prepares it for transmission.

[0237] Step 2:

[0238] The device analyzes the user's facial expressions and voice through emotion sensor devices (e.g., camera, microphone) to acquire emotional information. Inputs include camera video and audio data. This data is processed by emotion recognition software and output as the user's emotional state (e.g., joy, surprise, anxiety).

[0239] Step 3:

[0240] The terminal transmits acquired operation information and emotion information to the server. The input consists of operation data and emotion data. The terminal packages this data according to a specific communication protocol and securely transfers it to the server.

[0241] Step 4:

[0242] The server processes the received operation information using analysis tools and structures it as an operation procedure. The input is operation information sent from the terminal, and the analysis process outputs this information as a procedure that reflects the user's unique operation pattern.

[0243] Step 5:

[0244] The server automatically generates operation documents in text format from the operation procedures analyzed using the generation method. The input is the analyzed operation procedures, and the output is an operation document in text format. The system uses a generation AI model to generate natural language from the document as needed.

[0245] Step 6:

[0246] The server adjusts how the user interface document is displayed using emotional information-based presentation adjustment mechanisms. The input is emotional information, and the output is the adjusted display content and additional guides. If the server determines that the user is confused, detailed explanations and visual guides are added.

[0247] Step 7:

[0248] The server sends a pre-adjusted operation guide to the terminal as feedback. The input is the guide information adjusted by the server, and the output is the operation document and guide displayed on the user's terminal screen.

[0249] Step 8:

[0250] The user reviews the presented information and sends feedback to the server via their device. The input is the user's feedback information, and the output is the submitted feedback data. This data is used to improve the system.

[0251] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0252] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0253] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0254] [Second Embodiment]

[0255] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0256] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0257] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0258] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0259] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0260] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0261] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0262] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0263] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0264] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0265] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0266] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0267] The present invention relates to a system that analyzes a user's digital operations in real time and generates, manages, and optimizes operation procedures in an automated manner. This system includes means for acquisition, analysis, generation, updating, management, permission setting, recommendation, and sharing.

[0268] System Overview

[0269] 1. Operation of acquisition means

[0270] The terminal has a function to record user operation information in real time. This allows for accurate recording of what actions the user has taken and transmission to the server.

[0271] 2. Analysis and Generation

[0272] The server analyzes the received data to understand the user's actions. Once the operation procedure is analyzed, the server automatically generates an operation document in text format based on this information.

[0273] 3. Feedback and Updates

[0274] Users can submit change requests for documented operations. The server receives these requests, determines the need for changes, and updates the relevant parts. It also manages the change history after updates, ensuring that the latest information is always available.

[0275] 4. Administration and Permission Settings

[0276] The server centrally manages operation documents, organizing them by version. It also manages which users can access each document. The server proposes access permissions based on organizational roles and departments, which are then reviewed and applied by the administrator.

[0277] 5. Optimization and Recommendations

[0278] By analyzing multiple versions of a document, the server determines which procedure is superior to others and recommends it to the user. This promotes efficient work procedures.

[0279] 6. Search and Share

[0280] Through the terminal, users can easily search for operation documents stored on the server. It also includes a function to instantly share specific documents with other users, enabling immediate information sharing.

[0281] Specific example

[0282] For example, when using new software, the terminal records a series of operations performed by User A. As a result, the server automatically analyzes the operation procedure and creates an operation document. At a later date, when User B uses this document, they can quickly understand the operation of the new software and start working. Also, if any improvement points are found, a change can be requested through feedback, and by the server reflecting it, everyone can work with the latest procedure.

[0283] In this way, this system can improve work efficiency and reduce the labor of manual creation.

[0284] The following explains the processing flow.

[0285] [[ID=十二]] Step 1:

[0286] The terminal monitors the user's operations in real time and records actions such as clicks, keyboard inputs, and screen transitions. The recorded data is grouped as a batch at regular intervals and sent to the server.

[0287] Step 2:

[0288] The server receives the operation data sent from the terminal. It analyzes the received data, assigns meaning to each operation to understand the user's operation steps, and grasps the structure of the operation procedure.

[0289] Step 3:

[0290] Based on the analyzed operation steps, the server uses natural language processing to automatically generate the operation procedure as an operation document in text format. At this time, the context and related information of the operation are appropriately described.

[0291] Step 4:

[0292] Users review the generated operation documents and submit feedback to ask questions or suggest improvements. This feedback is sent to the server as user comments or change requests.

[0293] Step 5:

[0294] The server analyzes the feedback received from the user and immediately reflects any necessary corrections in the document. This process updates the change history, ensuring that other users always have access to the latest version of the document.

[0295] Step 6:

[0296] The system centralizes operation documents within a server-managed database and stores them in cloud storage. Furthermore, it implements version control for each document, generating and saving a new version whenever an update occurs.

[0297] Step 7:

[0298] The server proposes access permissions for each operation document based on the roles of each organization and department. Once the user (administrator) reviews and approves the proposal, those access permissions are set.

[0299] Step 8:

[0300] The server analyzes each generated operation document to identify the most efficient procedure. It then recommends this to the user and provides suggestions for optimizing the operation.

[0301] Step 9:

[0302] The terminal allows users to search for operation documents on the server. It provides a function to narrow down results using specific keywords and instantly share related documents with other users.

[0303] (Example 1)

[0304] Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0305] Conventionally, the documentation of operation procedures by users has often been done manually, which is cumbersome and inefficient. Also, when there are multiple documents of different versions, it has been difficult to determine which procedure is optimal. Furthermore, there has been a lack of speed in sharing operation documents with others.

[0306] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0307] In this invention, the server includes an analysis means for analyzing the received operation data to identify the operation procedure, a generation means for automatically generating an operation document in text format based on the analysis result, and a management means for organizing the operation document and performing version management. Thereby, the documentation of operation procedures can be efficiently automated, enabling operations based on the latest and optimal procedures at all times, and improving the speed during sharing and updating.

[0308] The "terminal means" is a device or system for detecting and recording the user's operations in real time.

[0309] The "transmission means" is a mechanism for transmitting the operation information acquired by the terminal means to the server.

[0310] The "analysis means" is a function for analyzing the operation data received by the server and identifying the operation procedure from it.

[0311] The "generation means" is a mechanism for automatically generating an operation document in text format based on the analysis result.

[0312] The "update means" is responsible for receiving feedback from the user and updating the operation document as necessary.

[0313] A "management system" is a system for organizing operation documents and performing version control.

[0314] A "permission setting mechanism" is a system that has the function of proposing and appropriately setting access permissions to a document.

[0315] The "recommended procedure" is a function that analyzes multiple versions of the operation manual and suggests the optimal procedure to the user.

[0316] "Sharing methods" refer to processes and tools for quickly and easily sharing operational documents with other users.

[0317] This invention is a system that analyzes users' digital operations in real time and documents, manages, and optimizes the operation procedures. This system functions through the interconnectedness of terminals, servers, and users.

[0318] The terminal plays a role in recording the user's digital actions in real time. Specifically, it collects operation events as logs from applications running on the user's computer or smart device. For example, it detects when a user clicks the "Save" button in a document creation application and records that information. This data is periodically sent to the server.

[0319] The server receives and analyzes operation data sent from the terminal. During this process, it uses a generative AI model to process the data and extract the operation procedures. Based on the analyzed data, the server automatically generates an operation document in text format. This document clearly describes the operation flow and each step, in a format that anyone can understand.

[0320] Users can review the generated operation documents and submit feedback and change requests regarding their content. The server accepts this feedback and updates and manages the versions of the documents to ensure that the information is always up-to-date.

[0321] Furthermore, the server analyzes multiple versions of the generated document, identifies the optimal operating procedure, and recommends it to the user. This recommendation improves work efficiency and allows tasks to be performed according to the optimal procedure. In addition, it provides the ability to appropriately set access permissions for documents and share documents with other users as needed.

[0322] As a concrete example, when a new software tool is introduced within an organization, the initial setup sequence performed by user A is recorded by the terminal. Based on this information, the server analyzes the operation procedure, and user B can efficiently learn how to use the new tool based on the generated document.

[0323] As an example of a prompt to input into the generation AI model, using the instruction, "Record the operating procedures for the new software tool and automatically generate the operation document," makes it possible to efficiently generate the document.

[0324] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0325] Step 1:

[0326] The terminal records user activity in real time. Input is the user's application operations, and output is an operation log. The terminal monitors user events such as clicks, keystrokes, and window operations, and records this data chronologically.

[0327] Step 2:

[0328] The terminal sends recorded operation logs to the server at regular intervals. The input is the operation log, and the output is the data transmission to the server. The terminal transfers the data to the server over the network using a small amount of bandwidth. This transmission is performed in the background so as not to interfere with user operations.

[0329] Step 3:

[0330] The server analyzes the operation data it receives. The input is operation data sent from the terminal, and the output is the operation procedure as a result of the analysis. The server uses a generated AI model to analyze the operation data and identify the user's intended workflow.

[0331] Step 4:

[0332] The server generates an operation document based on the analysis results. The input is the analysis results as an operation procedure, and the output is an operation document in text format. The server uses natural language processing technology to summarize and document the operation procedure in an easy-to-understand manner. This document is automatically formatted and ready for immediate use by the user.

[0333] Step 5:

[0334] Users review the operation documentation and submit feedback. The input is the generated operation documentation, and the output is feedback and change requests. Users review the documentation, understand its content, and point out areas for improvement if necessary.

[0335] Step 6:

[0336] The server receives user feedback and updates the operation document. The input is user feedback, and the output is the updated operation document. The server analyzes the feedback, edits the document as needed, and records it as the most up-to-date information.

[0337] Step 7:

[0338] The server handles version control of generated documents. Inputs are the operation document and its updated versions, and output is a well-organized version history of the operation document. The server tracks the necessary information for each version and ensures access to past versions.

[0339] Step 8:

[0340] The server recommends the optimal procedure to the user. The input is multiple versions of the procedure document, and the output is the recommended optimal procedure. The server uses a generative AI model to compare the document versions, select the most efficient procedure, and notify the user.

[0341] Step 9:

[0342] The terminal shares operation documents with other users. The input is the operation document retrieved from the server, and the output is the shared information. The terminal sends documents to other users' terminals in a secure manner, facilitating smooth information sharing.

[0343] (Application Example 1)

[0344] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0345] Improving the efficiency of product assembly operations in factories requires the accurate and rapid optimization of complex procedures. However, current manual procedures for optimization and sharing are time-consuming and labor-intensive, creating a productivity bottleneck. Furthermore, when introducing new procedures, it is necessary to properly record and manage the process and create an environment where all members can quickly access the information.

[0346] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0347] In this invention, the server includes means for acquiring operational information, analysis means for generating operational procedures, and generation means for providing visual guides. This enables improved work efficiency by automatically optimizing the procedures for product assembly work and providing real-time feedback.

[0348] "Action information" refers to information about a series of actions and processes performed by a user, and includes data such as specific actions and operations.

[0349] "Acquisition means" refers to devices and systems for detecting and recording user activity information.

[0350] "Analysis means" refers to the technology and processes used to analyze acquired operational information and derive efficient procedures based on that data.

[0351] "Generation means" refers to functions and methods for presenting the analyzed procedures to the user as a visually easy-to-understand guide.

[0352] An "update mechanism" is a function that allows users to request revisions or provide feedback, and then update existing guides and procedures to reflect the latest content.

[0353] "Management means" refers to a system for saving generated visual guides and procedure files and for performing version control and access control.

[0354] A "permission setting method" is a process for proposing and setting access permissions for visual guides and procedures to users.

[0355] "Presentation means" refers to methods and technologies for providing real-time visual feedback to user devices.

[0356] A "suggested method" is a technique that identifies the most efficient procedure from among the analyzed procedures and recommends that procedure to the user.

[0357] "Sharing methods" refer to technologies and functions that facilitate the sharing of generated visual guides and procedures with other users.

[0358] The system for implementing this invention is designed to optimize operational procedures within a factory and enable users to receive real-time guided feedback. The system encompasses a series of processes including the acquisition, analysis, generation, updating, management, presentation, and sharing of operational information.

[0359] The server first collects information through an acquisition mechanism that obtains operational information. This involves using hardware such as motion capture devices to record the actions of each process in the factory. The collected operational information is analyzed using Python to derive the most efficient procedure. The results of this analysis are compiled into a visual guide by a generation mechanism and presented to the user's device using a technology such as Vue.js.

[0360] Users perform tasks while referring to guides presented through smart glasses or tablet devices. The server receives correction requests from users through update mechanisms and revises the process as needed. This ensures that the operating procedures within the factory are always up-to-date and optimized.

[0361] Furthermore, the management system also handles version control and access permission settings for the generated procedures, ensuring that only authorized users can access them. Using the suggestion system, the server identifies the most efficient procedure from the analyzed ones and suggests it to the user.

[0362] As a concrete example, suppose an engineer at a factory records the procedure for placing parts during the assembly of a new product. Based on this record, a server analyzes the process and creates a new procedure. An example of a prompt in this process is: "Generate the optimal procedure for the factory assembly process in real time and present it visually to the user."

[0363] In this way, the production efficiency in a factory can be improved in the embodiment of the present invention.

[0364] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0365] Step 1:

[0366] The terminal uses a motion capture device to acquire real-time information about the user's movements in the factory. Input includes the user's specific actions and operations. Output is the acquired motion data, which is sent to the server.

[0367] Step 2:

[0368] The server uses Python to perform data analysis based on the received operational information. The input is the operational data obtained in step 1, and the output is the analyzed, efficient procedure. Specifically, it performs statistical analysis and pattern recognition of the data to extract the optimal procedure.

[0369] Step 3:

[0370] The server creates a visual guide based on the analysis results. The input is the efficient procedure obtained in step 2, and the output is a visual guide that the user can review. Specifically, it visualizes the procedure using Vue.js and sends it to the device.

[0371] Step 4:

[0372] The user receives visual guidance through smart glasses or a tablet device. The input is the visual guidance generated in step 3, and the output is the user's execution of the procedure and feedback. Specifically, the user follows the guide to complete the task.

[0373] Step 5:

[0374] Users submit revision requests and feedback regarding the guide through a terminal. The input is the user's revision requests and feedback, and the output is this information. The terminal sends this to the server.

[0375] Step 6:

[0376] The server receives correction requests from users using update mechanisms, re-evaluates the guide content, and makes necessary revisions. The input is the correction request obtained in step 5, and the output is the updated visual guide. During this process, the guide is reorganized and data is adjusted.

[0377] Step 7:

[0378] The server records the updated procedure using a management system and shares it with other users as needed. The input is the visual guide updated in step 6, and the output is a shareable procedure document reflecting the updates. Specifically, it involves registering the changes in the version control system.

[0379] Step 8:

[0380] The server uses a suggestion mechanism to select the most efficient procedure from the analyzed steps and proposes it to the user. The input is the procedure data analyzed in step 2, and the output is the procedure as an improvement suggestion. Specifically, it executes an AI-powered procedure recommendation process.

[0381] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0382] This invention is a system that, in addition to a function to collect and analyze user operation information and automatically generate operation documents, incorporates an emotion engine that recognizes user emotions. The aim of this system is to smoothly support user operations and provide a more user-friendly environment.

[0383] System Overview

[0384] 1. Acquisition and analysis of operation information

[0385] The terminal records user operation information in real time and sends it to the server. This allows for accurate capture of the user's operation steps.

[0386] 2. Generating and updating operation documents

[0387] The server analyzes the received operation information and automatically generates operation documents based on it. The generated documents are updated as needed based on user feedback.

[0388] 3. Emotion recognition by an emotion engine

[0389] The emotion engine built into the device analyzes the user's facial expressions and voice to recognize their emotional state in real time.

[0390] 4. Adjusting presentation methods based on emotions

[0391] The server receives emotion data from the emotion engine and adjusts how the user interaction documents are displayed according to the user's emotions. For example, if the server determines that the user is confused, it will provide more detailed explanations or guides.

[0392] 5. Feedback and improved usability

[0393] The server integrates and analyzes emotional and operational data to generate feedback that improves the overall usability of the system. This feedback is then used for system improvement.

[0394] Specific example

[0395] For example, if user A is trying out new software and shows a confused expression, the emotion engine installed in the device recognizes that emotion. Based on this information, the server breaks down the generated operation document into more detailed steps and displays them in an easy-to-understand manner for the user. Furthermore, after user A provides feedback, a comprehensive analysis including emotion data is performed to improve the user experience going forward.

[0396] In this way, this system, which incorporates an emotion engine, provides flexible support tailored to user needs, enabling improvements in work efficiency and user satisfaction.

[0397] The following describes the processing flow.

[0398] Step 1:

[0399] The terminal monitors user actions, recording mouse clicks and keyboard input. This operation data is then compiled at regular time intervals.

[0400] Step 2:

[0401] The device collects emotional data in real time from the user's face and voice. An emotion engine analyzes this data to determine the user's emotional state.

[0402] Step 3:

[0403] The device sends operation data and emotion data to the server. Emotion data includes information indicating what emotions the user is experiencing during the operation.

[0404] Step 4:

[0405] The server analyzes the operation data to understand the user's operating procedures. Based on the analysis results, it automatically generates an operation document in text format that records the operating procedures.

[0406] Step 5:

[0407] The server receives emotion data and adjusts how the operation documents are displayed based on the user's current emotional state. The level of detail in the explanations and the clarity of the procedures are changed according to the emotion.

[0408] Step 6:

[0409] Users can view the instruction manual and submit feedback if they find the instructions unclear or identify areas for improvement. This feedback then communicates requests for changes to the instruction manual to the server.

[0410] Step 7:

[0411] The server analyzes the feedback, identifies the changes in the document, and updates it immediately. These updates are then reflected for other users as well.

[0412] Step 8:

[0413] The server integrates and analyzes operational and emotional data to identify areas for improvement across the entire system. This allows for the implementation of countermeasures to enhance the future user experience.

[0414] Step 9:

[0415] Using the terminal, users can search for generated operation documents at any time and share them with other users as needed. The search function provides a user-friendly interface.

[0416] (Example 2)

[0417] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0418] This invention aims to solve the problem of users becoming confused or stressed when using complex operating procedures or new applications. Conventional systems lacked support that considered the user's emotions, which degraded the quality of the user experience. There was a need for a means to provide appropriate support that took emotions into account.

[0419] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0420] In this invention, the server includes means for analyzing the user's facial expressions and voice to detect emotions, means for adjusting the display method of the operation document based on the detected emotions, and means for updating the operation document based on change requests. This enables flexible support that responds to the user's emotions.

[0421] "User" refers to an individual or group that operates the system or uses its functions.

[0422] "Operation information" refers to a series of input data and operation history generated when a user uses the system.

[0423] "Device" refers to a set of hardware or software components configured to perform a specific function or role.

[0424] "Text-based operation documentation" refers to a guide or manual written in text format to help users understand the procedures for operating the system.

[0425] A "change request" refers to a formal application or proposal made by a user to modify or improve the content of the current operation document.

[0426] "Access rights" refer to the permissions and restrictions that define the extent to which a particular user is permitted to access or manipulate a system or data.

[0427] "Facial expression" refers to the visual changes that appear on a user's face and is one of the elements that reflect their emotional state.

[0428] "Voice" refers to the voice spoken by the user, and is one of the elements that reflects their emotional state and intentions.

[0429] "Emotion detection" refers to the process of determining a person's emotional state from their facial expressions and voice.

[0430] "Adjusting the display method" refers to the process of optimizing the format and content of information displayed on the screen according to the user's specific emotional state.

[0431] This invention collects and analyzes user interaction information when a user operates a system, recognizes emotions as needed, and generates and updates interaction documents based on that information. This system includes a dedicated terminal and server.

[0432] The device is equipped with a function to collect user operation information in real time. This information collection includes input data from the keyboard and mouse, as well as touchscreen operation data. Furthermore, the device is equipped with a camera and microphone, which are used to detect the user's facial expressions and voice, and processed by emotion analysis software. The emotion analysis software uses algorithms to distinguish the user's emotions, such as joy, anger, sadness, and happiness, and estimates their emotional state in real time.

[0433] The server receives operation information and sentiment data transmitted from the terminal. A database management system and machine learning models are used to analyze this data. Based on the operation information, the server utilizes a generative AI model to generate operation documents for the user. These operation documents are provided in text format and can be automatically updated. The server also has the flexibility to use sentiment data to display the most appropriate document based on the user's situation.

[0434] For example, if a user shows a confused expression during software installation, the terminal detects this state. This emotion data is sent, and the server refines the operation instructions and displays step-by-step guides on the screen to support the user. An example of a prompt message is, "Please suggest how to adjust the operation instructions if the user shows a confused expression while operating new software."

[0435] This system allows users to enjoy an intuitive and stress-free operating experience, enabling them to utilize the system more efficiently.

[0436] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0437] Step 1:

[0438] The terminal collects user activity information. This includes detecting keyboard input, mouse clicks, and touchscreen gestures. The input is recorded as a time-stamped activity log and stored in a database. This allows for detailed tracking of the type and sequence of operations.

[0439] Step 2:

[0440] The terminal sends collected operation information to the server. This transmission occurs at regular time intervals, and the data is sent in batches. The input is the operation log data collected in the previous step, and the output is a data stream converted into a format that can be processed on the server. This allows for efficient data integration and analysis.

[0441] Step 3:

[0442] The server analyzes the received operation information and automatically generates operation documents using a generation AI model. The input is the transmitted operation log data. To analyze this data, the server performs frequency analysis and pattern recognition, and outputs the generated operation document. This document is structured in a user-friendly format and visually presents the operation procedure.

[0443] Step 4:

[0444] The device uses a camera and microphone to detect the user's facial expressions and voice in real time. Input consists of camera video and audio data. The device uses emotion analysis software to infer the user's emotional state from this data and sends it to a server. Output is emotion data indicating the detected emotion.

[0445] Step 5:

[0446] The server adjusts how the instruction manual is displayed based on the received emotion data. The input is emotion data obtained through emotion analysis. Based on this data, the server reconstructs the instruction manual, adding detailed explanations and guides, for example, if the user is confused. The output is a customized instruction manual tailored to the user's abilities and emotional state.

[0447] Step 6:

[0448] Users provide feedback after using the system. The server collects this feedback and analyzes it in conjunction with sentiment and operation data. The input is user feedback. Based on the analysis, the server identifies areas for system improvement and enhances the overall usability of the system. The output is insights that will be useful for future development.

[0449] (Application Example 2)

[0450] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0451] When drivers operate autonomous vehicles, the information provided may not be appropriate. Furthermore, presenting information without considering the driver's emotional state can lead to misunderstandings and anxiety. This is problematic because it can compromise the driver's comfort and sense of security.

[0452] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0453] In this invention, the server includes acquisition means for acquiring user operation information, emotion acquisition means for acquiring user emotion information, and presentation adjustment means for adjusting the presentation method based on the acquired emotion information. As a result, the presentation of driver operation documents and guides is optimized according to the driver's emotional state, enabling a safer and more comfortable autonomous driving experience.

[0454] "Means of acquisition" refers to a device or method for collecting user operation information.

[0455] "Analysis means" refers to a process or apparatus for analyzing operational information obtained by acquisition means and generating operational procedures.

[0456] The "generation means" is a mechanism that documents the analyzed operating procedures and automatically creates an operating document in text format.

[0457] An "update mechanism" is a system for modifying and updating operation documents to reflect change requests from users.

[0458] "Management means" refers to a process or device for saving operational documents and managing their versions.

[0459] A "permission setting mechanism" is a means for determining and setting access permissions to operation documents.

[0460] "Means for acquiring emotions" refers to a device or method for collecting emotional information from users.

[0461] "Presentation adjustment means" refers to a process or device that adjusts the approach to information presentation or operation guidance based on acquired emotional information.

[0462] The system for carrying out this invention consists of a specific hardware and software integrated into one. The terminal acquires user operation information and emotion information in real time and transmits this data to a server. Specifically, an interface device (e.g., touchscreen, keyboard) is used to acquire operation information, and a sensor device such as a camera or microphone is used to acquire emotion information. It is desirable to use emotion recognition software for emotion recognition.

[0463] The server executes an analysis algorithm to analyze the received operation information and automatically documents the operation procedure using a generation mechanism. The operation document can be customized for the user using a generation AI model. Furthermore, an update mechanism updates the document as needed based on user feedback, and access is restricted to authorized personnel through an access control mechanism.

[0464] The presentation adjustment mechanism plays a role in improving the overall usability and satisfaction of the system by adjusting the approach to information presentation and operation guidance based on the user's emotional information obtained by the emotion acquisition mechanism. This system allows for the immediate display of detailed explanations even if the driver becomes confused while operating a complex autonomous vehicle.

[0465] For example, if a driver is trying to follow the navigation system's instructions but shows signs of confusion while operating the interface, the presentation adjustment mechanism will provide additional guidance and visual aids to support the driver in performing the correct operation. An example of a prompt to the generated AI model would be, "The user appears to be lost at a highway junction. If necessary, please provide detailed guidance on turning right," thus appropriately guiding the system to the required action.

[0466] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0467] Step 1:

[0468] The terminal acquires user operation information from interface devices (e.g., touchscreen, keyboard). This input information consists of event data from user touches and button presses. The terminal collects this information in real time, converts it to a digital format, and prepares it for transmission.

[0469] Step 2:

[0470] The device analyzes the user's facial expressions and voice through emotion sensor devices (e.g., camera, microphone) to acquire emotional information. Inputs include camera video and audio data. This data is processed by emotion recognition software and output as the user's emotional state (e.g., joy, surprise, anxiety).

[0471] Step 3:

[0472] The terminal transmits acquired operation information and emotion information to the server. The input consists of operation data and emotion data. The terminal packages this data according to a specific communication protocol and securely transfers it to the server.

[0473] Step 4:

[0474] The server processes the received operation information using analysis tools and structures it as an operation procedure. The input is operation information sent from the terminal, and the analysis process outputs this information as a procedure that reflects the user's unique operation pattern.

[0475] Step 5:

[0476] The server automatically generates operation documents in text format from the operation procedures analyzed using the generation method. The input is the analyzed operation procedures, and the output is an operation document in text format. The system uses a generation AI model to generate natural language from the document as needed.

[0477] Step 6:

[0478] The server adjusts how the user interface document is displayed using emotional information-based presentation adjustment mechanisms. The input is emotional information, and the output is the adjusted display content and additional guides. If the server determines that the user is confused, detailed explanations and visual guides are added.

[0479] Step 7:

[0480] The server sends a pre-adjusted operation guide to the terminal as feedback. The input is the guide information adjusted by the server, and the output is the operation document and guide displayed on the user's terminal screen.

[0481] Step 8:

[0482] The user reviews the presented information and sends feedback to the server via their device. The input is the user's feedback information, and the output is the submitted feedback data. This data is used to improve the system.

[0483] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0484] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0485] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0486] [Third Embodiment]

[0487] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0488] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0489] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0490] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0491] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0492] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0493] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0494] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0495] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0496] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0497] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0498] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0499] The present invention relates to a system that analyzes a user's digital operations in real time and generates, manages, and optimizes operation procedures in an automated manner. This system includes means for acquisition, analysis, generation, updating, management, permission setting, recommendation, and sharing.

[0500] System Overview

[0501] 1. Operation of acquisition means

[0502] The terminal has a function to record user operation information in real time. This allows for accurate recording of what actions the user has taken and transmission to the server.

[0503] 2. Analysis and Generation

[0504] The server analyzes the received data to understand the user's actions. Once the operation procedure is analyzed, the server automatically generates an operation document in text format based on this information.

[0505] 3. Feedback and Updates

[0506] Users can submit change requests for documented operations. The server receives these requests, determines the need for changes, and updates the relevant parts. It also manages the change history after updates, ensuring that the latest information is always available.

[0507] 4. Administration and Permission Settings

[0508] The server centrally manages operation documents, organizing them by version. It also manages which users can access each document. The server proposes access permissions based on organizational roles and departments, which are then reviewed and applied by the administrator.

[0509] 5. Optimization and Recommendations

[0510] By analyzing multiple versions of a document, the server determines which procedure is superior to others and recommends it to the user. This promotes efficient work procedures.

[0511] 6. Search and Share

[0512] Through the terminal, users can easily search for operation documents stored on the server. It also includes a function to instantly share specific documents with other users, enabling immediate information sharing.

[0513] Specific example

[0514] For example, when using new software, the terminal records a series of actions performed by user A. The server then automatically analyzes these steps and creates an operation document. Later, user B can use this document to quickly understand how to use the new software and begin working. Furthermore, if improvements are found, users can request changes through feedback, and the server will incorporate these changes, ensuring everyone is working with the latest procedures.

[0515] In this way, this system can improve work efficiency and reduce the effort required to create manuals.

[0516] The following describes the processing flow.

[0517] Step 1:

[0518] The device monitors user actions in real time, recording clicks, keyboard input, screen transitions, and other actions. The recorded data is compiled into batches at regular intervals and sent to the server.

[0519] Step 2:

[0520] The server receives operation data sent from the terminal. It analyzes the received data, assigns meaning to each operation to understand the user's steps, and grasps the structure of the operation procedure.

[0521] Step 3:

[0522] The server automatically generates operation procedures as text-based operation documents using natural language processing based on the analyzed operation steps. During this process, it appropriately describes the context and related information of the operations.

[0523] Step 4:

[0524] Users review the generated operation documents and submit feedback to ask questions or suggest improvements. This feedback is sent to the server as user comments or change requests.

[0525] Step 5:

[0526] The server analyzes the feedback received from the user and immediately reflects any necessary corrections in the document. This process updates the change history, ensuring that other users always have access to the latest version of the document.

[0527] Step 6:

[0528] The system centralizes operation documents within a server-managed database and stores them in cloud storage. Furthermore, it implements version control for each document, generating and saving a new version whenever an update occurs.

[0529] Step 7:

[0530] The server proposes access permissions for each operation document based on the roles of each organization and department. Once the user (administrator) reviews and approves the proposal, those access permissions are set.

[0531] Step 8:

[0532] The server analyzes each generated operation document to identify the most efficient procedure. It then recommends this to the user and provides suggestions for optimizing the operation.

[0533] Step 9:

[0534] The terminal allows users to search for operation documents on the server. It provides a function to narrow down results using specific keywords and instantly share related documents with other users.

[0535] (Example 1)

[0536] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0537] Traditionally, documenting user operating procedures was often done manually, making the process cumbersome and inefficient. Furthermore, determining which procedure was optimal when multiple versions of the document existed was difficult. Additionally, sharing operating documentation with others lacked speed and efficiency.

[0538] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0539] In this invention, the server includes an analysis means for analyzing received operation data and identifying operation procedures, a generation means for automatically generating operation documents in text format based on the analysis results, and a management means for organizing operation documents and performing version control. This enables efficient automation of operation procedure documentation, allowing operations to always be based on the latest and most optimal procedures, and also improves the speed of sharing and updating.

[0540] "Terminal means" refers to a device or system for detecting and recording user operations in real time.

[0541] "Transmission means" refers to a mechanism for sending operation information acquired by the terminal means to a server.

[0542] "Analysis means" refers to a function that analyzes the operation data received by the server and identifies the operation procedure from it.

[0543] The "generation means" is a mechanism that automatically generates operation documents in text format based on the analysis results.

[0544] The "update mechanism" is responsible for receiving feedback from users and updating the operation manual as needed.

[0545] A "management system" is a system for organizing operation documents and performing version control.

[0546] A "permission setting mechanism" is a system that has the function of proposing and appropriately setting access permissions to a document.

[0547] The "recommended procedure" is a function that analyzes multiple versions of the operation manual and suggests the optimal procedure to the user.

[0548] "Sharing methods" refer to processes and tools for quickly and easily sharing operational documents with other users.

[0549] This invention is a system that analyzes users' digital operations in real time and documents, manages, and optimizes the operation procedures. This system functions through the interconnectedness of terminals, servers, and users.

[0550] The terminal plays a role in recording the user's digital actions in real time. Specifically, it collects operation events as logs from applications running on the user's computer or smart device. For example, it detects when a user clicks the "Save" button in a document creation application and records that information. This data is periodically sent to the server.

[0551] The server receives and analyzes operation data sent from the terminal. During this process, it uses a generative AI model to process the data and extract the operation procedures. Based on the analyzed data, the server automatically generates an operation document in text format. This document clearly describes the operation flow and each step, in a format that anyone can understand.

[0552] Users can review the generated operation documents and submit feedback and change requests regarding their content. The server accepts this feedback and updates and manages the versions of the documents to ensure that the information is always up-to-date.

[0553] Furthermore, the server analyzes multiple versions of the generated document, identifies the optimal operating procedure, and recommends it to the user. This recommendation improves work efficiency and allows tasks to be performed according to the optimal procedure. In addition, it provides the ability to appropriately set access permissions for documents and share documents with other users as needed.

[0554] As a concrete example, when a new software tool is introduced within an organization, the initial setup sequence performed by user A is recorded by the terminal. Based on this information, the server analyzes the operation procedure, and user B can efficiently learn how to use the new tool based on the generated document.

[0555] As an example of a prompt to input into the generation AI model, using the instruction, "Record the operating procedures for the new software tool and automatically generate the operation document," makes it possible to efficiently generate the document.

[0556] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0557] Step 1:

[0558] The terminal records user activity in real time. Input is the user's application operations, and output is an operation log. The terminal monitors user events such as clicks, keystrokes, and window operations, and records this data chronologically.

[0559] Step 2:

[0560] The terminal sends recorded operation logs to the server at regular intervals. The input is the operation log, and the output is the data transmission to the server. The terminal transfers the data to the server over the network using a small amount of bandwidth. This transmission is performed in the background so as not to interfere with user operations.

[0561] Step 3:

[0562] The server analyzes the operation data it receives. The input is operation data sent from the terminal, and the output is the operation procedure as a result of the analysis. The server uses a generated AI model to analyze the operation data and identify the user's intended workflow.

[0563] Step 4:

[0564] The server generates an operation document based on the analysis results. The input is the analysis results as an operation procedure, and the output is an operation document in text format. The server uses natural language processing technology to summarize and document the operation procedure in an easy-to-understand manner. This document is automatically formatted and ready for immediate use by the user.

[0565] Step 5:

[0566] Users review the operation documentation and submit feedback. The input is the generated operation documentation, and the output is feedback and change requests. Users review the documentation, understand its content, and point out areas for improvement if necessary.

[0567] Step 6:

[0568] The server receives user feedback and updates the operation document. The input is user feedback, and the output is the updated operation document. The server analyzes the feedback, edits the document as needed, and records it as the most up-to-date information.

[0569] Step 7:

[0570] The server handles version control of generated documents. Inputs are the operation document and its updated versions, and output is a well-organized version history of the operation document. The server tracks the necessary information for each version and ensures access to past versions.

[0571] Step 8:

[0572] The server recommends the optimal procedure to the user. The input is multiple versions of the procedure document, and the output is the recommended optimal procedure. The server uses a generative AI model to compare the document versions, select the most efficient procedure, and notify the user.

[0573] Step 9:

[0574] The terminal shares operation documents with other users. The input is the operation document retrieved from the server, and the output is the shared information. The terminal sends documents to other users' terminals in a secure manner, facilitating smooth information sharing.

[0575] (Application Example 1)

[0576] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0577] Improving the efficiency of product assembly operations in factories requires the accurate and rapid optimization of complex procedures. However, current manual procedures for optimization and sharing are time-consuming and labor-intensive, creating a productivity bottleneck. Furthermore, when introducing new procedures, it is necessary to properly record and manage the process and create an environment where all members can quickly access the information.

[0578] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0579] In this invention, the server includes means for acquiring operational information, analysis means for generating operational procedures, and generation means for providing visual guides. This enables improved work efficiency by automatically optimizing the procedures for product assembly work and providing real-time feedback.

[0580] "Action information" refers to information about a series of actions and processes performed by a user, and includes data such as specific actions and operations.

[0581] "Acquisition means" refers to devices and systems for detecting and recording user activity information.

[0582] "Analysis means" refers to the technology and processes used to analyze acquired operational information and derive efficient procedures based on that data.

[0583] "Generation means" refers to functions and methods for presenting the analyzed procedures to the user as a visually easy-to-understand guide.

[0584] An "update mechanism" is a function that allows users to request revisions or provide feedback, and then update existing guides and procedures to reflect the latest content.

[0585] "Management means" refers to a system for saving generated visual guides and procedure files and for performing version control and access control.

[0586] A "permission setting method" is a process for proposing and setting access permissions for visual guides and procedures to users.

[0587] "Presentation means" refers to methods and technologies for providing real-time visual feedback to user devices.

[0588] A "suggested method" is a technique that identifies the most efficient procedure from among the analyzed procedures and recommends that procedure to the user.

[0589] "Sharing methods" refer to technologies and functions that facilitate the sharing of generated visual guides and procedures with other users.

[0590] The system for implementing this invention is designed to optimize operational procedures within a factory and enable users to receive real-time guided feedback. The system encompasses a series of processes including the acquisition, analysis, generation, updating, management, presentation, and sharing of operational information.

[0591] The server first collects information through an acquisition mechanism that obtains operational information. This involves using hardware such as motion capture devices to record the actions of each process in the factory. The collected operational information is analyzed using Python to derive the most efficient procedure. The results of this analysis are compiled into a visual guide by a generation mechanism and presented to the user's device using a technology such as Vue.js.

[0592] Users perform tasks while referring to guides presented through smart glasses or tablet devices. The server receives correction requests from users through update mechanisms and revises the process as needed. This ensures that the operating procedures within the factory are always up-to-date and optimized.

[0593] Furthermore, the management system also handles version control and access permission settings for the generated procedures, ensuring that only authorized users can access them. Using the suggestion system, the server identifies the most efficient procedure from the analyzed ones and suggests it to the user.

[0594] As a concrete example, suppose an engineer at a factory records the procedure for placing parts during the assembly of a new product. Based on this record, a server analyzes the process and creates a new procedure. An example of a prompt in this process is: "Generate the optimal procedure for the factory assembly process in real time and present it visually to the user."

[0595] In this way, the production efficiency in a factory can be improved in the embodiment of the present invention.

[0596] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0597] Step 1:

[0598] The terminal uses a motion capture device to acquire real-time information about the user's movements in the factory. Input includes the user's specific actions and operations. Output is the acquired motion data, which is sent to the server.

[0599] Step 2:

[0600] The server uses Python to perform data analysis based on the received operational information. The input is the operational data obtained in step 1, and the output is the analyzed, efficient procedure. Specifically, it performs statistical analysis and pattern recognition of the data to extract the optimal procedure.

[0601] Step 3:

[0602] The server creates a visual guide based on the analysis results. The input is the efficient procedure obtained in step 2, and the output is a visual guide that the user can review. Specifically, it visualizes the procedure using Vue.js and sends it to the device.

[0603] Step 4:

[0604] The user receives visual guidance through smart glasses or a tablet device. The input is the visual guidance generated in step 3, and the output is the user's execution of the procedure and feedback. Specifically, the user follows the guide to complete the task.

[0605] Step 5:

[0606] Users submit revision requests and feedback regarding the guide through a terminal. The input is the user's revision requests and feedback, and the output is this information. The terminal sends this to the server.

[0607] Step 6:

[0608] The server receives correction requests from users using update mechanisms, re-evaluates the guide content, and makes necessary revisions. The input is the correction request obtained in step 5, and the output is the updated visual guide. During this process, the guide is reorganized and data is adjusted.

[0609] Step 7:

[0610] The server records the updated procedure using a management system and shares it with other users as needed. The input is the visual guide updated in step 6, and the output is a shareable procedure document reflecting the updates. Specifically, it involves registering the changes in the version control system.

[0611] Step 8:

[0612] The server uses a suggestion mechanism to select the most efficient procedure from the analyzed steps and proposes it to the user. The input is the procedure data analyzed in step 2, and the output is the procedure as an improvement suggestion. Specifically, it executes an AI-powered procedure recommendation process.

[0613] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0614] This invention is a system that, in addition to a function to collect and analyze user operation information and automatically generate operation documents, incorporates an emotion engine that recognizes user emotions. The aim of this system is to smoothly support user operations and provide a more user-friendly environment.

[0615] System Overview

[0616] 1. Acquisition and analysis of operation information

[0617] The terminal records user operation information in real time and sends it to the server. This allows for accurate capture of the user's operation steps.

[0618] 2. Generating and updating operation documents

[0619] The server analyzes the received operation information and automatically generates operation documents based on it. The generated documents are updated as needed based on user feedback.

[0620] 3. Emotion recognition by an emotion engine

[0621] The emotion engine built into the device analyzes the user's facial expressions and voice to recognize their emotional state in real time.

[0622] 4. Adjusting presentation methods based on emotions

[0623] The server receives emotion data from the emotion engine and adjusts how the user interaction documents are displayed according to the user's emotions. For example, if the server determines that the user is confused, it will provide more detailed explanations or guides.

[0624] 5. Feedback and improved usability

[0625] The server integrates and analyzes emotional and operational data to generate feedback that improves the overall usability of the system. This feedback is then used for system improvement.

[0626] Specific example

[0627] For example, if user A is trying out new software and shows a confused expression, the emotion engine installed in the device recognizes that emotion. Based on this information, the server breaks down the generated operation document into more detailed steps and displays them in an easy-to-understand manner for the user. Furthermore, after user A provides feedback, a comprehensive analysis including emotion data is performed to improve the user experience going forward.

[0628] In this way, this system, which incorporates an emotion engine, provides flexible support tailored to user needs, enabling improvements in work efficiency and user satisfaction.

[0629] The following describes the processing flow.

[0630] Step 1:

[0631] The terminal monitors user actions, recording mouse clicks and keyboard input. This operation data is then compiled at regular time intervals.

[0632] Step 2:

[0633] The device collects emotional data in real time from the user's face and voice. An emotion engine analyzes this data to determine the user's emotional state.

[0634] Step 3:

[0635] The device sends operation data and emotion data to the server. Emotion data includes information indicating what emotions the user is experiencing during the operation.

[0636] Step 4:

[0637] The server analyzes the operation data to understand the user's operating procedures. Based on the analysis results, it automatically generates an operation document in text format that records the operating procedures.

[0638] Step 5:

[0639] The server receives emotion data and adjusts how the operation documents are displayed based on the user's current emotional state. The level of detail in the explanations and the clarity of the procedures are changed according to the emotion.

[0640] Step 6:

[0641] Users can view the instruction manual and submit feedback if they find the instructions unclear or identify areas for improvement. This feedback then communicates requests for changes to the instruction manual to the server.

[0642] Step 7:

[0643] The server analyzes the feedback, identifies the changes in the document, and updates it immediately. These updates are then reflected for other users as well.

[0644] Step 8:

[0645] The server integrates and analyzes operational and emotional data to identify areas for improvement across the entire system. This allows for the implementation of countermeasures to enhance the future user experience.

[0646] Step 9:

[0647] Using the terminal, users can search for generated operation documents at any time and share them with other users as needed. The search function provides a user-friendly interface.

[0648] (Example 2)

[0649] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0650] This invention aims to solve the problem of users becoming confused or stressed when using complex operating procedures or new applications. Conventional systems lacked support that considered the user's emotions, which degraded the quality of the user experience. There was a need for a means to provide appropriate support that took emotions into account.

[0651] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0652] In this invention, the server includes means for analyzing the user's facial expressions and voice to detect emotions, means for adjusting the display method of the operation document based on the detected emotions, and means for updating the operation document based on change requests. This enables flexible support that responds to the user's emotions.

[0653] "User" refers to an individual or group that operates the system or uses its functions.

[0654] "Operation information" refers to a series of input data and operation history generated when a user uses the system.

[0655] "Device" refers to a set of hardware or software components configured to perform a specific function or role.

[0656] "Text-based operation documentation" refers to a guide or manual written in text format to help users understand the procedures for operating the system.

[0657] A "change request" refers to a formal application or proposal made by a user to modify or improve the content of the current operation document.

[0658] "Access rights" refer to the permissions and restrictions that define the extent to which a particular user is permitted to access or manipulate a system or data.

[0659] "Facial expression" refers to the visual changes that appear on a user's face and is one of the elements that reflect their emotional state.

[0660] "Voice" refers to the voice spoken by the user, and is one of the elements that reflects their emotional state and intentions.

[0661] "Emotion detection" refers to the process of determining a person's emotional state from their facial expressions and voice.

[0662] "Adjusting the display method" refers to the process of optimizing the format and content of information displayed on the screen according to the user's specific emotional state.

[0663] This invention collects and analyzes user interaction information when a user operates a system, recognizes emotions as needed, and generates and updates interaction documents based on that information. This system includes a dedicated terminal and server.

[0664] The device is equipped with a function to collect user operation information in real time. This information collection includes input data from the keyboard and mouse, as well as touchscreen operation data. Furthermore, the device is equipped with a camera and microphone, which are used to detect the user's facial expressions and voice, and processed by emotion analysis software. The emotion analysis software uses algorithms to distinguish the user's emotions, such as joy, anger, sadness, and happiness, and estimates their emotional state in real time.

[0665] The server receives operation information and sentiment data transmitted from the terminal. A database management system and machine learning models are used to analyze this data. Based on the operation information, the server utilizes a generative AI model to generate operation documents for the user. These operation documents are provided in text format and can be automatically updated. The server also has the flexibility to use sentiment data to display the most appropriate document based on the user's situation.

[0666] For example, if a user shows a confused expression during software installation, the terminal detects this state. This emotion data is sent, and the server refines the operation instructions and displays step-by-step guides on the screen to support the user. An example of a prompt message is, "Please suggest how to adjust the operation instructions if the user shows a confused expression while operating new software."

[0667] This system allows users to enjoy an intuitive and stress-free operating experience, enabling them to utilize the system more efficiently.

[0668] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0669] Step 1:

[0670] The terminal collects user activity information. This includes detecting keyboard input, mouse clicks, and touchscreen gestures. The input is recorded as a time-stamped activity log and stored in a database. This allows for detailed tracking of the type and sequence of operations.

[0671] Step 2:

[0672] The terminal sends collected operation information to the server. This transmission occurs at regular time intervals, and the data is sent in batches. The input is the operation log data collected in the previous step, and the output is a data stream converted into a format that can be processed on the server. This allows for efficient data integration and analysis.

[0673] Step 3:

[0674] The server analyzes the received operation information and automatically generates operation documents using a generation AI model. The input is the transmitted operation log data. To analyze this data, the server performs frequency analysis and pattern recognition, and outputs the generated operation document. This document is structured in a user-friendly format and visually presents the operation procedure.

[0675] Step 4:

[0676] The device uses a camera and microphone to detect the user's facial expressions and voice in real time. Input consists of camera video and audio data. The device uses emotion analysis software to infer the user's emotional state from this data and sends it to a server. Output is emotion data indicating the detected emotion.

[0677] Step 5:

[0678] The server adjusts how the instruction manual is displayed based on the received emotion data. The input is emotion data obtained through emotion analysis. Based on this data, the server reconstructs the instruction manual, adding detailed explanations and guides, for example, if the user is confused. The output is a customized instruction manual tailored to the user's abilities and emotional state.

[0679] Step 6:

[0680] Users provide feedback after using the system. The server collects this feedback and analyzes it in conjunction with sentiment and operation data. The input is user feedback. Based on the analysis, the server identifies areas for system improvement and enhances the overall usability of the system. The output is insights that will be useful for future development.

[0681] (Application Example 2)

[0682] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0683] When drivers operate autonomous vehicles, the information provided may not be appropriate. Furthermore, presenting information without considering the driver's emotional state can lead to misunderstandings and anxiety. This is problematic because it can compromise the driver's comfort and sense of security.

[0684] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0685] In this invention, the server includes acquisition means for acquiring user operation information, emotion acquisition means for acquiring user emotion information, and presentation adjustment means for adjusting the presentation method based on the acquired emotion information. As a result, the presentation of driver operation documents and guides is optimized according to the driver's emotional state, enabling a safer and more comfortable autonomous driving experience.

[0686] "Means of acquisition" refers to a device or method for collecting user operation information.

[0687] "Analysis means" refers to a process or apparatus for analyzing operational information obtained by acquisition means and generating operational procedures.

[0688] The "generation means" is a mechanism that documents the analyzed operating procedures and automatically creates an operating document in text format.

[0689] An "update mechanism" is a system for modifying and updating operation documents to reflect change requests from users.

[0690] "Management means" refers to a process or device for saving operational documents and managing their versions.

[0691] A "permission setting mechanism" is a means for determining and setting access permissions to operation documents.

[0692] "Means for acquiring emotions" refers to a device or method for collecting emotional information from users.

[0693] "Presentation adjustment means" refers to a process or device that adjusts the approach to information presentation or operation guidance based on acquired emotional information.

[0694] The system for carrying out this invention consists of a specific hardware and software integrated into one. The terminal acquires user operation information and emotion information in real time and transmits this data to a server. Specifically, an interface device (e.g., touchscreen, keyboard) is used to acquire operation information, and a sensor device such as a camera or microphone is used to acquire emotion information. It is desirable to use emotion recognition software for emotion recognition.

[0695] The server executes an analysis algorithm to analyze the received operation information and automatically documents the operation procedure using a generation mechanism. The operation document can be customized for the user using a generation AI model. Furthermore, an update mechanism updates the document as needed based on user feedback, and access is restricted to authorized personnel through an access control mechanism.

[0696] The presentation adjustment mechanism plays a role in improving the overall usability and satisfaction of the system by adjusting the approach to information presentation and operation guidance based on the user's emotional information obtained by the emotion acquisition mechanism. This system allows for the immediate display of detailed explanations even if the driver becomes confused while operating a complex autonomous vehicle.

[0697] For example, if a driver is trying to follow the navigation system's instructions but shows signs of confusion while operating the interface, the presentation adjustment mechanism will provide additional guidance and visual aids to support the driver in performing the correct operation. An example of a prompt to the generated AI model would be, "The user appears to be lost at a highway junction. If necessary, please provide detailed guidance on turning right," thus appropriately guiding the system to the required action.

[0698] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0699] Step 1:

[0700] The terminal acquires user operation information from interface devices (e.g., touchscreen, keyboard). This input information consists of event data from user touches and button presses. The terminal collects this information in real time, converts it to a digital format, and prepares it for transmission.

[0701] Step 2:

[0702] The device analyzes the user's facial expressions and voice through emotion sensor devices (e.g., camera, microphone) to acquire emotional information. Inputs include camera video and audio data. This data is processed by emotion recognition software and output as the user's emotional state (e.g., joy, surprise, anxiety).

[0703] Step 3:

[0704] The terminal transmits acquired operation information and emotion information to the server. The input consists of operation data and emotion data. The terminal packages this data according to a specific communication protocol and securely transfers it to the server.

[0705] Step 4:

[0706] The server processes the received operation information using analysis tools and structures it as an operation procedure. The input is operation information sent from the terminal, and the analysis process outputs this information as a procedure that reflects the user's unique operation pattern.

[0707] Step 5:

[0708] The server automatically generates operation documents in text format from the operation procedures analyzed using the generation method. The input is the analyzed operation procedures, and the output is an operation document in text format. The system uses a generation AI model to generate natural language from the document as needed.

[0709] Step 6:

[0710] The server adjusts how the user interface document is displayed using emotional information-based presentation adjustment mechanisms. The input is emotional information, and the output is the adjusted display content and additional guides. If the server determines that the user is confused, detailed explanations and visual guides are added.

[0711] Step 7:

[0712] The server sends a pre-adjusted operation guide to the terminal as feedback. The input is the guide information adjusted by the server, and the output is the operation document and guide displayed on the user's terminal screen.

[0713] Step 8:

[0714] The user reviews the presented information and sends feedback to the server via their device. The input is the user's feedback information, and the output is the submitted feedback data. This data is used to improve the system.

[0715] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0716] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0717] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0718] [Fourth Embodiment]

[0719] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0720] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0721] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0722] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0723] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0724] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0725] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0726] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0727] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0728] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0729] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0730] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0731] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0732] The present invention relates to a system that analyzes a user's digital operations in real time and generates, manages, and optimizes operation procedures in an automated manner. This system includes means for acquisition, analysis, generation, updating, management, permission setting, recommendation, and sharing.

[0733] System Overview

[0734] 1. Operation of acquisition means

[0735] The terminal has a function to record user operation information in real time. This allows for accurate recording of what actions the user has taken and transmission to the server.

[0736] 2. Analysis and Generation

[0737] The server analyzes the received data to understand the user's actions. Once the operation procedure is analyzed, the server automatically generates an operation document in text format based on this information.

[0738] 3. Feedback and Updates

[0739] Users can submit change requests for documented operations. The server receives these requests, determines the need for changes, and updates the relevant parts. It also manages the change history after updates, ensuring that the latest information is always available.

[0740] 4. Administration and Permission Settings

[0741] The server centrally manages operation documents, organizing them by version. It also manages which users can access each document. The server proposes access permissions based on organizational roles and departments, which are then reviewed and applied by the administrator.

[0742] 5. Optimization and Recommendations

[0743] By analyzing multiple versions of a document, the server determines which procedure is superior to others and recommends it to the user. This promotes efficient work procedures.

[0744] 6. Search and Share

[0745] Through the terminal, users can easily search for operation documents stored on the server. It also includes a function to instantly share specific documents with other users, enabling immediate information sharing.

[0746] Specific example

[0747] For example, when using new software, the terminal records a series of actions performed by user A. The server then automatically analyzes these steps and creates an operation document. Later, user B can use this document to quickly understand how to use the new software and begin working. Furthermore, if improvements are found, users can request changes through feedback, and the server will incorporate these changes, ensuring everyone is working with the latest procedures.

[0748] In this way, this system can improve work efficiency and reduce the effort required to create manuals.

[0749] The following describes the processing flow.

[0750] Step 1:

[0751] The device monitors user actions in real time, recording clicks, keyboard input, screen transitions, and other actions. The recorded data is compiled into batches at regular intervals and sent to the server.

[0752] Step 2:

[0753] The server receives operation data sent from the terminal. It analyzes the received data, assigns meaning to each operation to understand the user's steps, and grasps the structure of the operation procedure.

[0754] Step 3:

[0755] The server automatically generates operation procedures as text-based operation documents using natural language processing based on the analyzed operation steps. During this process, it appropriately describes the context and related information of the operations.

[0756] Step 4:

[0757] Users review the generated operation documents and submit feedback to ask questions or suggest improvements. This feedback is sent to the server as user comments or change requests.

[0758] Step 5:

[0759] The server analyzes the feedback received from the user and immediately reflects any necessary corrections in the document. This process updates the change history, ensuring that other users always have access to the latest version of the document.

[0760] Step 6:

[0761] The system centralizes operation documents within a server-managed database and stores them in cloud storage. Furthermore, it implements version control for each document, generating and saving a new version whenever an update occurs.

[0762] Step 7:

[0763] The server proposes access permissions for each operation document based on the roles of each organization and department. Once the user (administrator) reviews and approves the proposal, those access permissions are set.

[0764] Step 8:

[0765] The server analyzes each generated operation document to identify the most efficient procedure. It then recommends this to the user and provides suggestions for optimizing the operation.

[0766] Step 9:

[0767] The terminal allows users to search for operation documents on the server. It provides a function to narrow down results using specific keywords and instantly share related documents with other users.

[0768] (Example 1)

[0769] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0770] Traditionally, documenting user operating procedures was often done manually, making the process cumbersome and inefficient. Furthermore, determining which procedure was optimal when multiple versions of the document existed was difficult. Additionally, sharing operating documentation with others lacked speed and efficiency.

[0771] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0772] In this invention, the server includes an analysis means for analyzing received operation data and identifying operation procedures, a generation means for automatically generating operation documents in text format based on the analysis results, and a management means for organizing operation documents and performing version control. This enables efficient automation of operation procedure documentation, allowing operations to always be based on the latest and most optimal procedures, and also improves the speed of sharing and updating.

[0773] "Terminal means" refers to a device or system for detecting and recording user operations in real time.

[0774] "Transmission means" refers to a mechanism for sending operation information acquired by the terminal means to a server.

[0775] "Analysis means" refers to a function that analyzes the operation data received by the server and identifies the operation procedure from it.

[0776] The "generation means" is a mechanism that automatically generates operation documents in text format based on the analysis results.

[0777] The "update mechanism" is responsible for receiving feedback from users and updating the operation manual as needed.

[0778] A "management system" is a system for organizing operation documents and performing version control.

[0779] A "permission setting mechanism" is a system that has the function of proposing and appropriately setting access permissions to a document.

[0780] The "recommended procedure" is a function that analyzes multiple versions of the operation manual and suggests the optimal procedure to the user.

[0781] "Sharing methods" refer to processes and tools for quickly and easily sharing operational documents with other users.

[0782] This invention is a system that analyzes users' digital operations in real time and documents, manages, and optimizes the operation procedures. This system functions through the interconnectedness of terminals, servers, and users.

[0783] The terminal plays a role in recording the user's digital actions in real time. Specifically, it collects operation events as logs from applications running on the user's computer or smart device. For example, it detects when a user clicks the "Save" button in a document creation application and records that information. This data is periodically sent to the server.

[0784] The server receives and analyzes operation data sent from the terminal. During this process, it uses a generative AI model to process the data and extract the operation procedures. Based on the analyzed data, the server automatically generates an operation document in text format. This document clearly describes the operation flow and each step, in a format that anyone can understand.

[0785] Users can review the generated operation documents and submit feedback and change requests regarding their content. The server accepts this feedback and updates and manages the versions of the documents to ensure that the information is always up-to-date.

[0786] Furthermore, the server analyzes multiple versions of the generated document, identifies the optimal operating procedure, and recommends it to the user. This recommendation improves work efficiency and allows tasks to be performed according to the optimal procedure. In addition, it provides the ability to appropriately set access permissions for documents and share documents with other users as needed.

[0787] As a concrete example, when a new software tool is introduced within an organization, the initial setup sequence performed by user A is recorded by the terminal. Based on this information, the server analyzes the operation procedure, and user B can efficiently learn how to use the new tool based on the generated document.

[0788] As an example of a prompt to input into the generation AI model, using the instruction, "Record the operating procedures for the new software tool and automatically generate the operation document," makes it possible to efficiently generate the document.

[0789] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0790] Step 1:

[0791] The terminal records user activity in real time. Input is the user's application operations, and output is an operation log. The terminal monitors user events such as clicks, keystrokes, and window operations, and records this data chronologically.

[0792] Step 2:

[0793] The terminal sends recorded operation logs to the server at regular intervals. The input is the operation log, and the output is the data transmission to the server. The terminal transfers the data to the server over the network using a small amount of bandwidth. This transmission is performed in the background so as not to interfere with user operations.

[0794] Step 3:

[0795] The server analyzes the operation data it receives. The input is operation data sent from the terminal, and the output is the operation procedure as a result of the analysis. The server uses a generated AI model to analyze the operation data and identify the user's intended workflow.

[0796] Step 4:

[0797] The server generates an operation document based on the analysis results. The input is the analysis results as an operation procedure, and the output is an operation document in text format. The server uses natural language processing technology to summarize and document the operation procedure in an easy-to-understand manner. This document is automatically formatted and ready for immediate use by the user.

[0798] Step 5:

[0799] Users review the operation documentation and submit feedback. The input is the generated operation documentation, and the output is feedback and change requests. Users review the documentation, understand its content, and point out areas for improvement if necessary.

[0800] Step 6:

[0801] The server receives user feedback and updates the operation document. The input is user feedback, and the output is the updated operation document. The server analyzes the feedback, edits the document as needed, and records it as the most up-to-date information.

[0802] Step 7:

[0803] The server handles version control of generated documents. Inputs are the operation document and its updated versions, and output is a well-organized version history of the operation document. The server tracks the necessary information for each version and ensures access to past versions.

[0804] Step 8:

[0805] The server recommends the optimal procedure to the user. The input is multiple versions of the procedure document, and the output is the recommended optimal procedure. The server uses a generative AI model to compare the document versions, select the most efficient procedure, and notify the user.

[0806] Step 9:

[0807] The terminal shares operation documents with other users. The input is the operation document retrieved from the server, and the output is the shared information. The terminal sends documents to other users' terminals in a secure manner, facilitating smooth information sharing.

[0808] (Application Example 1)

[0809] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0810] Improving the efficiency of product assembly operations in factories requires the accurate and rapid optimization of complex procedures. However, current manual procedures for optimization and sharing are time-consuming and labor-intensive, creating a productivity bottleneck. Furthermore, when introducing new procedures, it is necessary to properly record and manage the process and create an environment where all members can quickly access the information.

[0811] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0812] In this invention, the server includes means for acquiring operational information, analysis means for generating operational procedures, and generation means for providing visual guides. This enables improved work efficiency by automatically optimizing the procedures for product assembly work and providing real-time feedback.

[0813] "Action information" refers to information about a series of actions and processes performed by a user, and includes data such as specific actions and operations.

[0814] "Acquisition means" refers to devices and systems for detecting and recording user activity information.

[0815] "Analysis means" refers to the technology and processes used to analyze acquired operational information and derive efficient procedures based on that data.

[0816] "Generation means" refers to functions and methods for presenting the analyzed procedures to the user as a visually easy-to-understand guide.

[0817] An "update mechanism" is a function that allows users to request revisions or provide feedback, and then update existing guides and procedures to reflect the latest content.

[0818] "Management means" refers to a system for saving generated visual guides and procedure files and for performing version control and access control.

[0819] A "permission setting method" is a process for proposing and setting access permissions for visual guides and procedures to users.

[0820] "Presentation means" refers to methods and technologies for providing real-time visual feedback to user devices.

[0821] A "suggested method" is a technique that identifies the most efficient procedure from among the analyzed procedures and recommends that procedure to the user.

[0822] "Sharing methods" refer to technologies and functions that facilitate the sharing of generated visual guides and procedures with other users.

[0823] The system for implementing this invention is designed to optimize operational procedures within a factory and enable users to receive real-time guided feedback. The system encompasses a series of processes including the acquisition, analysis, generation, updating, management, presentation, and sharing of operational information.

[0824] The server first collects information through an acquisition mechanism that obtains operational information. This involves using hardware such as motion capture devices to record the actions of each process in the factory. The collected operational information is analyzed using Python to derive the most efficient procedure. The results of this analysis are compiled into a visual guide by a generation mechanism and presented to the user's device using a technology such as Vue.js.

[0825] Users perform tasks while referring to guides presented through smart glasses or tablet devices. The server receives correction requests from users through update mechanisms and revises the process as needed. This ensures that the operating procedures within the factory are always up-to-date and optimized.

[0826] Furthermore, the management system also handles version control and access permission settings for the generated procedures, ensuring that only authorized users can access them. Using the suggestion system, the server identifies the most efficient procedure from the analyzed ones and suggests it to the user.

[0827] As a concrete example, suppose an engineer at a factory records the procedure for placing parts during the assembly of a new product. Based on this record, a server analyzes the process and creates a new procedure. An example of a prompt in this process is: "Generate the optimal procedure for the factory assembly process in real time and present it visually to the user."

[0828] In this way, the production efficiency in a factory can be improved in the embodiment of the present invention.

[0829] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0830] Step 1:

[0831] The terminal uses a motion capture device to acquire real-time information about the user's movements in the factory. Input includes the user's specific actions and operations. Output is the acquired motion data, which is sent to the server.

[0832] Step 2:

[0833] The server uses Python to perform data analysis based on the received operational information. The input is the operational data obtained in step 1, and the output is the analyzed, efficient procedure. Specifically, it performs statistical analysis and pattern recognition of the data to extract the optimal procedure.

[0834] Step 3:

[0835] The server creates a visual guide based on the analysis results. The input is the efficient procedure obtained in step 2, and the output is a visual guide that the user can review. Specifically, it visualizes the procedure using Vue.js and sends it to the device.

[0836] Step 4:

[0837] The user receives visual guidance through smart glasses or a tablet device. The input is the visual guidance generated in step 3, and the output is the user's execution of the procedure and feedback. Specifically, the user follows the guide to complete the task.

[0838] Step 5:

[0839] Users submit revision requests and feedback regarding the guide through a terminal. The input is the user's revision requests and feedback, and the output is this information. The terminal sends this to the server.

[0840] Step 6:

[0841] The server receives correction requests from users using update mechanisms, re-evaluates the guide content, and makes necessary revisions. The input is the correction request obtained in step 5, and the output is the updated visual guide. During this process, the guide is reorganized and data is adjusted.

[0842] Step 7:

[0843] The server records the updated procedure using a management system and shares it with other users as needed. The input is the visual guide updated in step 6, and the output is a shareable procedure document reflecting the updates. Specifically, it involves registering the changes in the version control system.

[0844] Step 8:

[0845] The server uses a suggestion mechanism to select the most efficient procedure from the analyzed steps and proposes it to the user. The input is the procedure data analyzed in step 2, and the output is the procedure as an improvement suggestion. Specifically, it executes an AI-powered procedure recommendation process.

[0846] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0847] This invention is a system that, in addition to a function to collect and analyze user operation information and automatically generate operation documents, incorporates an emotion engine that recognizes user emotions. The aim of this system is to smoothly support user operations and provide a more user-friendly environment.

[0848] System Overview

[0849] 1. Acquisition and analysis of operation information

[0850] The terminal records user operation information in real time and sends it to the server. This allows for accurate capture of the user's operation steps.

[0851] 2. Generating and updating operation documents

[0852] The server analyzes the received operation information and automatically generates operation documents based on it. The generated documents are updated as needed based on user feedback.

[0853] 3. Emotion recognition by an emotion engine

[0854] The emotion engine built into the device analyzes the user's facial expressions and voice to recognize their emotional state in real time.

[0855] 4. Adjusting presentation methods based on emotions

[0856] The server receives emotion data from the emotion engine and adjusts how the user interaction documents are displayed according to the user's emotions. For example, if the server determines that the user is confused, it will provide more detailed explanations or guides.

[0857] 5. Feedback and improved usability

[0858] The server integrates and analyzes emotional and operational data to generate feedback that improves the overall usability of the system. This feedback is then used for system improvement.

[0859] Specific example

[0860] For example, if user A is trying out new software and shows a confused expression, the emotion engine installed in the device recognizes that emotion. Based on this information, the server breaks down the generated operation document into more detailed steps and displays them in an easy-to-understand manner for the user. Furthermore, after user A provides feedback, a comprehensive analysis including emotion data is performed to improve the user experience going forward.

[0861] In this way, this system, which incorporates an emotion engine, provides flexible support tailored to user needs, enabling improvements in work efficiency and user satisfaction.

[0862] The following describes the processing flow.

[0863] Step 1:

[0864] The terminal monitors user actions, recording mouse clicks and keyboard input. This operation data is then compiled at regular time intervals.

[0865] Step 2:

[0866] The device collects emotional data in real time from the user's face and voice. An emotion engine analyzes this data to determine the user's emotional state.

[0867] Step 3:

[0868] The device sends operation data and emotion data to the server. Emotion data includes information indicating what emotions the user is experiencing during the operation.

[0869] Step 4:

[0870] The server analyzes the operation data to understand the user's operating procedures. Based on the analysis results, it automatically generates an operation document in text format that records the operating procedures.

[0871] Step 5:

[0872] The server receives emotion data and adjusts how the operation documents are displayed based on the user's current emotional state. The level of detail in the explanations and the clarity of the procedures are changed according to the emotion.

[0873] Step 6:

[0874] Users can view the instruction manual and submit feedback if they find the instructions unclear or identify areas for improvement. This feedback then communicates requests for changes to the instruction manual to the server.

[0875] Step 7:

[0876] The server analyzes the feedback, identifies the changes in the document, and updates it immediately. These updates are then reflected for other users as well.

[0877] Step 8:

[0878] The server integrates and analyzes operational and emotional data to identify areas for improvement across the entire system. This allows for the implementation of countermeasures to enhance the future user experience.

[0879] Step 9:

[0880] Using the terminal, users can search for generated operation documents at any time and share them with other users as needed. The search function provides a user-friendly interface.

[0881] (Example 2)

[0882] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0883] This invention aims to solve the problem of users becoming confused or stressed when using complex operating procedures or new applications. Conventional systems lacked support that considered the user's emotions, which degraded the quality of the user experience. There was a need for a means to provide appropriate support that took emotions into account.

[0884] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0885] In this invention, the server includes means for analyzing the user's facial expressions and voice to detect emotions, means for adjusting the display method of the operation document based on the detected emotions, and means for updating the operation document based on change requests. This enables flexible support that responds to the user's emotions.

[0886] "User" refers to an individual or group that operates the system or uses its functions.

[0887] "Operation information" refers to a series of input data and operation history generated when a user uses the system.

[0888] "Device" refers to a set of hardware or software components configured to perform a specific function or role.

[0889] "Text-based operation documentation" refers to a guide or manual written in text format to help users understand the procedures for operating the system.

[0890] A "change request" refers to a formal application or proposal made by a user to modify or improve the content of the current operation document.

[0891] "Access rights" refer to the permissions and restrictions that define the extent to which a particular user is permitted to access or manipulate a system or data.

[0892] "Facial expression" refers to the visual changes that appear on a user's face and is one of the elements that reflect their emotional state.

[0893] "Voice" refers to the voice spoken by the user, and is one of the elements that reflects their emotional state and intentions.

[0894] "Emotion detection" refers to the process of determining a person's emotional state from their facial expressions and voice.

[0895] "Adjusting the display method" refers to the process of optimizing the format and content of information displayed on the screen according to the user's specific emotional state.

[0896] This invention collects and analyzes user interaction information when a user operates a system, recognizes emotions as needed, and generates and updates interaction documents based on that information. This system includes a dedicated terminal and server.

[0897] The device is equipped with a function to collect user operation information in real time. This information collection includes input data from the keyboard and mouse, as well as touchscreen operation data. Furthermore, the device is equipped with a camera and microphone, which are used to detect the user's facial expressions and voice, and processed by emotion analysis software. The emotion analysis software uses algorithms to distinguish the user's emotions, such as joy, anger, sadness, and happiness, and estimates their emotional state in real time.

[0898] The server receives operation information and sentiment data transmitted from the terminal. A database management system and machine learning models are used to analyze this data. Based on the operation information, the server utilizes a generative AI model to generate operation documents for the user. These operation documents are provided in text format and can be automatically updated. The server also has the flexibility to use sentiment data to display the most appropriate document based on the user's situation.

[0899] For example, if a user shows a confused expression during software installation, the terminal detects this state. This emotion data is sent, and the server refines the operation instructions and displays step-by-step guides on the screen to support the user. An example of a prompt message is, "Please suggest how to adjust the operation instructions if the user shows a confused expression while operating new software."

[0900] This system allows users to enjoy an intuitive and stress-free operating experience, enabling them to utilize the system more efficiently.

[0901] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0902] Step 1:

[0903] The terminal collects user activity information. This includes detecting keyboard input, mouse clicks, and touchscreen gestures. The input is recorded as a time-stamped activity log and stored in a database. This allows for detailed tracking of the type and sequence of operations.

[0904] Step 2:

[0905] The terminal sends collected operation information to the server. This transmission occurs at regular time intervals, and the data is sent in batches. The input is the operation log data collected in the previous step, and the output is a data stream converted into a format that can be processed on the server. This allows for efficient data integration and analysis.

[0906] Step 3:

[0907] The server analyzes the received operation information and automatically generates operation documents using a generation AI model. The input is the transmitted operation log data. To analyze this data, the server performs frequency analysis and pattern recognition, and outputs the generated operation document. This document is structured in a user-friendly format and visually presents the operation procedure.

[0908] Step 4:

[0909] The device uses a camera and microphone to detect the user's facial expressions and voice in real time. Input consists of camera video and audio data. The device uses emotion analysis software to infer the user's emotional state from this data and sends it to a server. Output is emotion data indicating the detected emotion.

[0910] Step 5:

[0911] The server adjusts how the instruction manual is displayed based on the received emotion data. The input is emotion data obtained through emotion analysis. Based on this data, the server reconstructs the instruction manual, adding detailed explanations and guides, for example, if the user is confused. The output is a customized instruction manual tailored to the user's abilities and emotional state.

[0912] Step 6:

[0913] Users provide feedback after using the system. The server collects this feedback and analyzes it in conjunction with sentiment and operation data. The input is user feedback. Based on the analysis, the server identifies areas for system improvement and enhances the overall usability of the system. The output is insights that will be useful for future development.

[0914] (Application Example 2)

[0915] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0916] When drivers operate autonomous vehicles, the information provided may not be appropriate. Furthermore, presenting information without considering the driver's emotional state can lead to misunderstandings and anxiety. This is problematic because it can compromise the driver's comfort and sense of security.

[0917] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0918] In this invention, the server includes acquisition means for acquiring user operation information, emotion acquisition means for acquiring user emotion information, and presentation adjustment means for adjusting the presentation method based on the acquired emotion information. As a result, the presentation of driver operation documents and guides is optimized according to the driver's emotional state, enabling a safer and more comfortable autonomous driving experience.

[0919] "Means of acquisition" refers to a device or method for collecting user operation information.

[0920] "Analysis means" refers to a process or apparatus for analyzing operational information obtained by acquisition means and generating operational procedures.

[0921] The "generation means" is a mechanism that documents the analyzed operating procedures and automatically creates an operating document in text format.

[0922] An "update mechanism" is a system for modifying and updating operation documents to reflect change requests from users.

[0923] "Management means" refers to a process or device for saving operational documents and managing their versions.

[0924] A "permission setting mechanism" is a means for determining and setting access permissions to operation documents.

[0925] "Means for acquiring emotions" refers to a device or method for collecting emotional information from users.

[0926] "Presentation adjustment means" refers to a process or device that adjusts the approach to information presentation or operation guidance based on acquired emotional information.

[0927] The system for carrying out this invention consists of a specific hardware and software integrated into one. The terminal acquires user operation information and emotion information in real time and transmits this data to a server. Specifically, an interface device (e.g., touchscreen, keyboard) is used to acquire operation information, and a sensor device such as a camera or microphone is used to acquire emotion information. It is desirable to use emotion recognition software for emotion recognition.

[0928] The server executes an analysis algorithm to analyze the received operation information and automatically documents the operation procedure using a generation mechanism. The operation document can be customized for the user using a generation AI model. Furthermore, an update mechanism updates the document as needed based on user feedback, and access is restricted to authorized personnel through an access control mechanism.

[0929] The presentation adjustment mechanism plays a role in improving the overall usability and satisfaction of the system by adjusting the approach to information presentation and operation guidance based on the user's emotional information obtained by the emotion acquisition mechanism. This system allows for the immediate display of detailed explanations even if the driver becomes confused while operating a complex autonomous vehicle.

[0930] For example, if a driver is trying to follow the navigation system's instructions but shows signs of confusion while operating the interface, the presentation adjustment mechanism will provide additional guidance and visual aids to support the driver in performing the correct operation. An example of a prompt to the generated AI model would be, "The user appears to be lost at a highway junction. If necessary, please provide detailed guidance on turning right," thus appropriately guiding the system to the required action.

[0931] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0932] Step 1:

[0933] The terminal acquires user operation information from interface devices (e.g., touchscreen, keyboard). This input information consists of event data from user touches and button presses. The terminal collects this information in real time, converts it to a digital format, and prepares it for transmission.

[0934] Step 2:

[0935] The device analyzes the user's facial expressions and voice through emotion sensor devices (e.g., camera, microphone) to acquire emotional information. Inputs include camera video and audio data. This data is processed by emotion recognition software and output as the user's emotional state (e.g., joy, surprise, anxiety).

[0936] Step 3:

[0937] The terminal transmits acquired operation information and emotion information to the server. The input consists of operation data and emotion data. The terminal packages this data according to a specific communication protocol and securely transfers it to the server.

[0938] Step 4:

[0939] The server processes the received operation information using analysis tools and structures it as an operation procedure. The input is operation information sent from the terminal, and the analysis process outputs this information as a procedure that reflects the user's unique operation pattern.

[0940] Step 5:

[0941] The server automatically generates operation documents in text format from the operation procedures analyzed using the generation method. The input is the analyzed operation procedures, and the output is an operation document in text format. The system uses a generation AI model to generate natural language from the document as needed.

[0942] Step 6:

[0943] The server adjusts how the user interface document is displayed using emotional information-based presentation adjustment mechanisms. The input is emotional information, and the output is the adjusted display content and additional guides. If the server determines that the user is confused, detailed explanations and visual guides are added.

[0944] Step 7:

[0945] The server sends a pre-adjusted operation guide to the terminal as feedback. The input is the guide information adjusted by the server, and the output is the operation document and guide displayed on the user's terminal screen.

[0946] Step 8:

[0947] The user reviews the presented information and sends feedback to the server via their device. The input is the user's feedback information, and the output is the submitted feedback data. This data is used to improve the system.

[0948] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0949] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0950] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0951] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0952] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0953] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0954] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0955] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0956] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0957] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0958] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0959] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0960] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0961] 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.

[0962] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0963] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0964] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0965] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0966] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0967] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0968] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0969] The following is further disclosed regarding the embodiments described above.

[0970] (Claim 1)

[0971] A means for obtaining user operation information,

[0972] An analysis means that analyzes the operation information acquired by the acquisition means and generates an operation procedure,

[0973] A generation means that automatically creates an operation procedure generated by the analysis means as an operation document in text format,

[0974] An update means that receives a user's request to change the operation document and updates the operation document based on the request for change,

[0975] A management means for saving and version-controlling the aforementioned operation documents,

[0976] A means for setting permissions to propose and set access permissions to the aforementioned operation document,

[0977] A system that includes this.

[0978] (Claim 2)

[0979] The system according to claim 1, further comprising a recommended means for identifying an efficient procedure from among the aforementioned operating procedures and recommending it to the user.

[0980] (Claim 3)

[0981] The system according to claim 1, further comprising sharing means for searching and sharing the aforementioned operation documents.

[0982] "Example 1"

[0983] (Claim 1)

[0984] A terminal device that detects and records user operations in real time,

[0985] A transmission means for transmitting operation information acquired by the terminal means to a server,

[0986] An analysis means for analyzing received operation data and identifying the operation procedure,

[0987] A generation means that automatically generates operation documents in text format based on the analysis results,

[0988] A means of updating the operation manual by receiving feedback from users,

[0989] A management system for organizing and version-controlling operational documents,

[0990] A means of setting permissions to propose and configure access permissions to documents,

[0991] A system that includes this.

[0992] (Claim 2)

[0993] The system according to claim 1, further comprising a recommendation means for analyzing multiple versions of an operation document and recommending the optimal procedure to the user.

[0994] (Claim 3)

[0995] The system according to claim 1, further comprising means for quickly searching for and sharing operation documents with other users.

[0996] "Application Example 1"

[0997] (Claim 1)

[0998] A means for obtaining user activity information,

[0999] An analysis means that analyzes the operation information acquired by the acquisition means and generates an operation procedure,

[1000] A generation means that automatically creates an operation procedure generated by the analysis means as a visual guide,

[1001] An update means that receives user requests to modify the visual guide and updates the visual guide based on said modification requests,

[1002] A management means for storing and managing the information of the aforementioned visual guide,

[1003] A permission setting means for proposing and setting access permissions to the aforementioned visual guide,

[1004] A presentation means that provides real-time feedback to the user device,

[1005] A system that includes this.

[1006] (Claim 2)

[1007] The system according to claim 1, further comprising a suggestion means for identifying the optimal procedure from among the aforementioned operating procedures and proposing it to the user.

[1008] (Claim 3)

[1009] The system according to claim 1, further comprising means for searching for the visual guide and sharing it with other users.

[1010] "Example 2 of combining an emotion engine"

[1011] (Claim 1)

[1012] A device that acquires user operation information,

[1013] A device that analyzes the operation information acquired by the aforementioned device and generates an operation procedure,

[1014] A device that automatically creates the generated operating procedure as an operating document in text format,

[1015] A device that receives a user's request to change the aforementioned operation document and updates the operation document based on the change request,

[1016] A device for saving and version-controlling the aforementioned operation documents,

[1017] A device that proposes and sets access rights to the aforementioned operation document,

[1018] A device that analyzes the user's facial expressions and voice to detect emotions,

[1019] A device that adjusts the display method of the operation document based on the detected emotion,

[1020] A system that includes this.

[1021] (Claim 2)

[1022] The system according to claim 1, further comprising a device that identifies an efficient procedure from among the aforementioned operating procedures and recommends it to the user.

[1023] (Claim 3)

[1024] The system according to claim 1, further comprising a device for searching and sharing the aforementioned operation documents.

[1025] "Application example 2 when combining with an emotional engine"

[1026] (Claim 1)

[1027] A means for obtaining user operation information,

[1028] An analysis means that analyzes the operation information acquired by the acquisition means and generates an operation procedure,

[1029] A generation means that automatically creates an operation procedure generated by the analysis means as an operation document in text format,

[1030] An update means that receives a user's request to change the operation document and updates the operation document based on the request for change,

[1031] A management means for saving and version-controlling the aforementioned operation documents,

[1032] A means for setting permissions to propose and set access permissions to the aforementioned operation document,

[1033] A means of acquiring emotion information from users,

[1034] A presentation adjustment means that adjusts the presentation method based on the emotional information acquired by the aforementioned emotional acquisition means,

[1035] A system that includes this.

[1036] (Claim 2)

[1037] The system according to claim 1, further comprising a recommended means for identifying an efficient procedure from among the aforementioned operating procedures and recommending it to the user.

[1038] (Claim 3)

[1039] The system according to claim 1, further comprising sharing means for searching and sharing the aforementioned operation documents. [Explanation of Symbols]

[1040] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for obtaining user operation information, An analysis means that analyzes the operation information acquired by the acquisition means and generates an operation procedure, A generation means that automatically creates an operation procedure generated by the analysis means as an operation document in text format, An update means that receives a user's request to change the operation document and updates the operation document based on the request for change, A management means for saving and version-controlling the aforementioned operation documents, A means for setting permissions to propose and set access permissions to the aforementioned operation document, A system that includes this.

2. The system according to claim 1, further comprising a recommendation means for identifying an efficient procedure from among the aforementioned operating procedures and recommending it to the user.

3. The system according to claim 1, further comprising sharing means for searching and sharing the aforementioned operation documents.

Images