System

Abstract

A system is provided.SOLUTION: A system comprising: means for registering a business tool and a business flow by a user; means for learning the business tool and the business flow by a server; means for monitoring an operation of the user and recording a start time and an end time of work by a terminal; means for transmitting the recorded data to the server; and means for analyzing the received data and generating a report by the server.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In today's companies, improving work efficiency and cost management are important issues. However, manually recording the details of each employee's work using a PC and creating reports based on that data is extremely time-consuming and has limited accuracy. Furthermore, this manual recording of labor hours and creating reports often results in reduced productivity and makes it difficult to evaluate work based on accurate data. Therefore, there is a need for a system that automates work recording and generates accurate, timely reports. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides the following means: A means is provided for users to register business tools and business flows, and a server has a means for learning the business content. Furthermore, the terminal has a means for monitoring user operations and recording the start and end times of work. Also, a means is provided for the terminal to send the recorded data to the server, and a means is provided for the server to analyze the received data and generate a report. This eliminates the need for users to manually record and create reports, enabling accurate and efficient business evaluation.

[0006] Ok, here are definitions of some important terms found in the claims:

[0007] A "user" is a person who uses the system to register business tools and workflows and performs various tasks on a PC.

[0008] "Business tools" refer to software and applications that users use when performing their work.

[0009] "Business flow" refers to a series of steps or processes for carrying out a specific business operation.

[0010] A "server" is a computer system that receives data sent by users, analyzes it, and generates reports.

[0011] A "terminal" is a computer device such as a PC or notebook used by a user, and is responsible for monitoring user operations and sending data to a server.

[0012] "Monitoring operations" refers to the device tracking user operations in real time and identifying specific events or actions.

[0013] "Start and end times of work" refer to the time a particular work task begins and ends.

[0014] "Work details" refers to the specific operations performed by the user and the tasks that were executed.

[0015] The "number of processed items" refers to the number of items or items processed when a user executes a specific business flow.

[0016] "Analyzing the data" means that the server organizes and statistically analyzes the work data received.

[0017] A "report" is a document or file that shows the progress and results of work, generated based on received data. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11]FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0019] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0020] First, the terms used in the following description will be explained.

[0021] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0022] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0023] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0024] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0025] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0029] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0030] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0031] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0032] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0033] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0036] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0037] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0038] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0039] The present invention relates to a system that automatically records operations on a PC and automatically generates a detailed report including start and end timestamps and the number of transactions. Specific embodiments of the present invention will be described below.

[0040] Initial Setup Phase

[0041] 1. The user registers the business tools and workflow

[0042] A user launches a specific piece of software on their PC, which has an "initial setup" screen with options to "add business tools" and "add business flows."

[0043] Users register the names of business tools (e.g., spreadsheet software, word processor, CRM system) and how to use them, and register business flows (e.g., "enter customer information," "contract completion," "follow-up," etc.).

[0044] The registered data is sent to a server, which then trains the AI ​​to learn these business tools and workflows.

[0045] Work monitoring phase

[0046] 1. The user starts work

[0047] A user starts working on a PC using a specific work tool. The monitoring software in the background begins monitoring the user's actions in real time.

[0048] 2. The device records your work

[0049] The device automatically records the start and end times of tasks based on a specific workflow, and also records the details of user operations and the number of transactions.

[0050] Report Generation Phase

[0051] 1. The device sends data to the server

[0052] The terminal sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[0053] 2. The server generates the report

[0054] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, and number of transactions for each process.

[0055] The final report is made available to users for viewing via the dashboard and is also provided in downloadable formats (e.g. Excel, PDF).

[0056] Specific examples

[0057] Example: When a user manages the progress of sales activities

[0058] Initial Setup Phase

[0059] The user registers a CRM (Customer Relationship Management) system as a business tool for "sales activities." The user registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[0060] Work monitoring phase

[0061] A user uses the CRM system to perform each step of the process, specifically entering customer data and then completing the contract process to close the sale.

[0062] The terminal records the start and end times of each process, as well as the work content (e.g., number of customer data items entered) in real time.

[0063] Report Generation Phase

[0064] The device sends the recorded data to a server, which analyzes it and generates detailed reports for each transaction, including the time it took to enter customer information, the time it took to complete a contract, and the number of transactions processed.

[0065] Users can view these reports on their dashboard and download them as needed.

[0066] This allows users to eliminate the need for manual recording and efficiently and accurately grasp the progress of their work.

[0067] The processing flow will be explained below.

[0068] Initial Setup Phase

[0069] Step 1:

[0070] A user launches a specific piece of software on their PC. The software's "Initial Setup" screen appears, offering the user the options to "Add Business Tools" and "Add Business Flows."

[0071] Step 2:

[0072] The user clicks the "Add Business Tool" button, enters the name of the tool to be used (e.g., spreadsheet software, word processor, CRM system), and presses the save button to register the tool.

[0073] Step 3:

[0074] The user clicks the "Add Business Flow" button and enters the names of each step of the business (e.g., "Enter Customer Information," "Complete Contract," "Follow-up") in order. Once the input is complete, the user clicks the save button to register the business flow.

[0075] Step 4:

[0076] The registered business tool and flow data is sent to the server, which receives this data and trains the AI.

[0077] Work monitoring phase

[0078] Step 5:

[0079] A user starts working using a specific work tool on their PC. The monitoring software starts up in the background and begins monitoring the user's operations in real time.

[0080] Step 6:

[0081] The device detects when an operation is started within a specific business tool and automatically records the start time of the operation (e.g., October 1, 2023, 10:00 AM).

[0082] Step 7:

[0083] The user proceeds with the work according to the business flow (e.g., "Enter customer information" and then proceed to "Complete contract").

[0084] Step 8:

[0085] The terminal monitors user operations in real time and records work details (operations and number of transactions) based on the business flow. If necessary, the number of transactions is also counted.

[0086] Step 9:

[0087] The user completes all tasks and closes the work tool. The device automatically records the end time of the task (e.g., October 1, 2023, 12:00 PM).

[0088] Step 10:

[0089] The device temporarily stores the recorded data in local storage.

[0090] Report Generation Phase

[0091] Step 11:

[0092] The device sends the recorded data to the server at regular intervals (e.g., every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[0093] Step 12:

[0094] The server analyzes the data it receives, organizes the data by business process, and calculates the time and totals the number of processed items.

[0095] Step 13:

[0096] The server generates a report based on the aggregation results, which includes the start time, end time, total man-hours, number of processed items, etc. for each business process.

[0097] Step 14:

[0098] The server displays the generated report on a dashboard for the user to view and download.

[0099] Example 1

[0100] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0101] Conventional work management systems require users to manually record work, which entails labor and the risk of errors. In addition, it is difficult to grasp detailed work data and progress status in real time, making it difficult to improve work efficiency and accurately manage progress.

[0102] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0103] In this invention, the server includes: a means for a user to register work tools and work procedures; a means for the server to learn the work tools and work procedures; a means for a terminal to monitor user operations and record the start and end times of work; a means for the terminal to record the user's operation details and the number of transactions; a means for the server to transmit the recorded data to the server; and a means for the server to analyze the received data and generate a report including the start time, end time, operation details, and the number of transactions. This eliminates the need for manual recording by the user, enabling efficient and accurate understanding of the progress of work in real time.

[0104] "User" refers to an entity that registers business tools and business procedures and performs business.

[0105] "Business tools" refers collectively to various software and hardware that users use to carry out their work.

[0106] "Business procedure" refers to a step-by-step workflow when a user performs a business operation.

[0107] A "means" refers to a piece of equipment or software configured to perform a particular function.

[0108] "Server" refers to the central computing unit that receives and analyzes data sent by the User and provides the User with the necessary information.

[0109] A "terminal" is a device that allows a user to perform operations and has the function of recording and transmitting user operations.

[0110] "Learning a business" refers to the process by which the server analyzes business information provided by the user, understands its contents, and memorizes them.

[0111] "Monitoring operations" refers to the process of monitoring users' PC operations in real time and recording necessary data.

[0112] "Start time" refers to the time when a particular task or operation begins.

[0113] "Finish time" refers to the time when a particular task or activity is completed.

[0114] "Number of processed items" refers to the number of items or data processed by a user in a specific business process.

[0115] "Sending data" refers to the process in which the terminal sends recorded data to the server.

[0116] "Analyzing the data" refers to the process by which the server scrutinizes the data it receives and extracts meaningful information.

[0117] A "report" is a document or file generated based on data analyzed by the server, and is a tool that allows users to check the progress and results of their work.

[0118] This invention is a system that automatically records the progress of work and generates detailed reports based on the results. This system allows users to register work tools and work procedures, terminals to monitor user operations, and a server to analyze the data and generate reports, enabling efficient and accurate progress management of work.

[0119] The implementation of the system includes the following specific steps:

[0120] First, the user launches the dedicated software on their PC. This software has an "Initial Setup" screen that includes options for "Add Business Tools" and "Add Business Flow." The user uses these options to register business tools (e.g., Microsoft Excel, Google Docs, CRM system) and business procedures (e.g., "Enter Customer Information," "Complete Contract," "Follow-up"). The registered data is sent to the server, which then trains the AI ​​model with this business information. Specifically, the registered data is added to the database and the AI ​​model is trained.

[0121] Next, the user begins work using a specific business tool on their PC. The monitoring software runs in the background, monitoring the user's actions in real time. For example, when a user enters customer data into a CRM system, their input actions and clicks are monitored. The device automatically records the start and end times of each task based on the work procedure, as well as detailed records of the operations and the number of transactions.

[0122] The recorded data is sent to the server at set intervals (for example, every hour). The terminal adjusts the timing of this data transmission and sends the data to the server. The server analyzes the received data and generates a detailed report of all business processes. The report includes the start time, end time, operation details, and number of processed items. The generated report can be viewed by the user from the management screen (dashboard) and can also be downloaded in Excel or PDF format.

[0123] As a concrete example, consider the case where a user manages the progress of sales activities. The user registers a CRM system as a business tool for "sales activities" and registers three steps as a "workflow": "enter customer information," "contract completion," and "follow-up." Next, the user actually uses the CRM system to enter customer data and go through the procedures for contract completion, and all of these operations are recorded in real time. Finally, the server generates a detailed report based on the recorded data, which the user can view on a dashboard.

[0124] Examples of prompt sentences include the following:

[0125] "Generate a report of business records in sales management"

[0126] "Please tell me the start and end times of the customer information entry process and the number of transactions processed."

[0127] This system allows users to eliminate manual recording work and efficiently and accurately grasp the progress of their work.

[0128] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0129] Step 1:

[0130] The user registers business tools and business procedures.

[0131] Input: The user accesses the initial setting screen and inputs the names of the business tools, how to use them, and business procedures.

[0132] Data processing: The entered names and usage methods of business tools and business procedures are converted into JSON format.

[0133] Output: Sends JSON formatted data to the server.

[0134] Specific operation: The user selects the "Add business tool" and "Add business flow" options, enters specific information, and clicks the "Submit" button.

[0135] Step 2:

[0136] The server learns the business tools and procedures.

[0137] Input: The JSON formatted business tools and procedures data submitted in Step 1.

[0138] Data processing: Store the incoming data in a database and build a training dataset to train the generative AI model.

[0139] Output: A trained AI model that understands business tools and procedures.

[0140] Specific operation: The server stores the received data in a database and executes the training process for the AI ​​model.

[0141] Step 3:

[0142] The user begins work.

[0143] Input: A user starts a business tool (e.g., a CRM system) and starts work according to business procedures.

[0144] Data processing: Operation logs of business tools are recorded using monitoring software.

[0145] Output: Data recorded as an operation log.

[0146] What happens: When a user starts entering customer information into the CRM system, the activity is recorded in real time by the monitoring software.

[0147] Step 4:

[0148] The device records the work.

[0149] Input: User operation logs captured by monitoring software.

[0150] Data processing: Extract the start time, end time, operation details, and number of processed items from the operation log.

[0151] Output: Recorded data including start time, end time, operation details, and number of transactions.

[0152] Specific operations: The device automatically records details such as the start time of user operations, input content, click operations, and end time.

[0153] Step 5:

[0154] The device sends the data to the server.

[0155] Input: Recorded data (start time, end time, operation details, number of transactions).

[0156] Data processing: Converting recorded data into an appropriate format (e.g., CSV or JSON).

[0157] Output: Send the format-converted recording data to the server.

[0158] Specific operation: The terminal collects recorded data every hour, converts it into an appropriate format, and sends it to the server.

[0159] Step 6:

[0160] The server analyzes the received data.

[0161] Input: Recorded data sent from the terminal.

[0162] Data processing: Analyze received data and extract detailed information about each business process.

[0163] Output: Parsed data.

[0164] Specific operation: The server stores the received data in a database and analyzes the data using an AI model.

[0165] Step 7:

[0166] The server generates the report.

[0167] Input: Parsed data.

[0168] Data processing: Based on the analysis data, a report is generated that includes the start time, end time, operation details, and number of transactions.

[0169] Output: The generated report.

[0170] Specific operation: The server creates a report based on the analysis results and allows the user to view it from a dashboard.

[0171] This eliminates the need for manual recording by users, allowing them to efficiently and accurately grasp the progress of their work in real time.

[0172] (Application example 1)

[0173] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0174] Conventional business management systems require users to manually record the start and end times of tasks, work details, and the number of transactions, which increases the likelihood of human error and time waste. Additionally, there is a lack of a way to record detailed operation logs for machines and robots used in factories and analyze the results, making it difficult to obtain specific data to improve overall business efficiency.

[0175] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0176] In this invention, the server includes: a means for a user to register business tools and business flows; a means for the server to learn the business tools and business flows; a means for a terminal to monitor user operations and record the start and end times of work; a means for transmitting the recorded data to the server; a means for the server to analyze the received data and generate a report; and a means for recording operation logs of factory machines or robots and generating detailed reports. This eliminates the need for manual recording by the user, enabling efficient and accurate understanding of business progress. By automatically recording these processes based on the occurrence of events and generating detailed reports, business management and factory operations can be optimized.

[0177] The "means for users to register business tools and business flows" is an interface that allows users to register the business software they use and a series of operating procedures for it.

[0178] The "means for the server to learn business tools and business flows" is a system that enables the server to understand and store business software registered by the user and its operating procedures.

[0179] "Means for a terminal to monitor user operations and record the start and end times of tasks" refers to software or hardware that monitors in real time the various operations a user performs on a PC and automatically records the start and end times of those operations.

[0180] The "means for transmitting recorded data to a server" is a communication module for transmitting operation data recorded on a user's terminal to a server periodically or in real time.

[0181] "Means for the server to analyze received data and generate reports" refers to a system in which the server processes and analyzes data received from user terminals, and automatically generates reports based on the results to evaluate the progress and efficiency of business operations.

[0182] "Means for recording operation logs of factory machines or robots and generating detailed reports" refers to a system that records in detail the operation history and work content of various machines and robots used in the factory, and generates detailed business reports based on that data.

[0183] "Business tools" refers to software and hardware that users use to carry out their daily work.

[0184] A "business flow" refers to a series of procedures or operational steps for carrying out a specific business operation.

[0185] "Work details" refers to information including the specific content and procedures of each work.

[0186] "Number of processed items" refers to the number of data or items processed in a specific task or work step.

[0187] This invention describes a specific system that records detailed operation logs of factory robots and automatically generates reports that evaluate the progress and efficiency of work based on the logs. An embodiment of this system will be described in detail below.

[0188] Initial Setup Phase

[0189] 1. The user registers the business tools and workflow.

[0190] First, the user launches the dedicated software on their PC. This software has an "Initial Setup" screen, which includes options for "Add Business Tools" and "Add Business Flows."

[0191] Users register business tools (e.g., spreadsheets, word processors, factory control software) and how to use them, and then register business flows (e.g., "welding operations," "parts assembly," "quality inspection," etc.).

[0192] The registered data is sent to the server, which then trains the AI ​​model on business tools and workflows.

[0193] Work monitoring phase

[0194] 2. The user begins work

[0195] A user begins work using a specific business tool on a factory robot or PC. In the background, monitoring software begins monitoring the user and robot operations in real time.

[0196] 3. The device records your work

[0197] Based on the workflow registered by the user, the device automatically records the start and end times of tasks, as well as details of operations and the number of transactions.

[0198] Report Generation Phase

[0199] 4. The device sends the data to the server

[0200] The terminal sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[0201] 5. The server generates the report

[0202] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, and number of transactions for each process.

[0203] The reports generated by the server are made available to users for viewing via the dashboard and are also provided in downloadable formats (e.g. Excel, PDF) if required.

[0204] Hardware and software used

[0205] Dedicated software: Runs on a PC or tablet device and accepts user input.

[0206] Monitoring software: Real-time monitoring of user actions and robot behavior.

[0207] Server: Analyzes the received data and generates reports. Performs data learning using AI models.

[0208] Communication module: Sends data from the terminal to the server.

[0209] Specific examples

[0210] If the user operates a robot in a factory:

[0211] Initial setup phase: The user registers the control software for "welding operations" and registers the steps of "part setup," "welding start," and "welding end" as the "business flow."

[0212] Work monitoring phase: The user performs the work according to the registered flow, and the device records the operation details in real time.

[0213] Report generation phase: The server analyzes the recorded data and generates detailed reports, which users can view on their dashboard and download as needed.

[0214] Example prompts for generative AI models

[0215] We would like you to design a system that automatically records the start time, end time, and work details of each operation performed by a factory robot, and generates a detailed report. The operations to be recorded include the specific work process name, start time, end time, and details (e.g., number of processed items). The operation log should be saved in JSON format and output as a report.

[0216] In this way, users can eliminate the need for manual recording and efficiently and accurately grasp the progress of their work, thereby optimizing work management and factory operations.

[0217] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0218] Step 1:

[0219] The user registers business tools and workflows. They launch specific software on their PC and enter the information required to "add business tools" and "add workflows" into the interface. The entered data is sent to the server, and the registration of the business tools and workflows is completed.

[0220] Step 2:

[0221] The server learns the business tools and workflow. Specifically, it trains the AI ​​model based on the information it receives, thereby learning the patterns of the business tools and workflow. The input data is the business tools, how to use them, and the workflow procedures, and the output is the trained AI model.

[0222] Step 3:

[0223] The user begins work. They begin using a specific work tool on their PC or on the control panel of a factory robot. The terminal begins monitoring the operation in real time in the background. The input data is the user's operation, and the output is the start of recording the operation log.

[0224] Step 4:

[0225] The terminal records the start and end times of work. It automatically records the start and end times of operations performed by users according to a specific business flow. The input data is the timing and content of the operation, and the output is timestamps of the start and end times. The operation content is also recorded in detail based on a specific business flow.

[0226] Step 5:

[0227] The terminal sends the recorded data to the server at regular intervals. As the user continues to work, the terminal collects data such as operation details and number of processes, and sends this data to the server at specified intervals. The input data is the operation log recorded on the terminal, and the output is the data sent to the server.

[0228] Step 6:

[0229] The server analyzes the received data and generates a report. The server analyzes the received operation log data and automatically generates a detailed report including the start time, end time, total man-hours, and number of processed items for each business process. The input data is the operation log sent to the server, and the output is the analyzed report.

[0230] Step 7:

[0231] The server generates reports that users can view and download. The server displays the generated reports on a dashboard so users can review the reports. The reports can also be downloaded in Excel or PDF format. The input data is the server-generated reports, and the output is a user-accessible dashboard.

[0232] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0233] The present invention combines a system that automatically records PC operations and automatically generates detailed reports including start and end timestamps and the number of transactions, with an emotion engine that recognizes the user's emotions. Specific embodiments of the present invention are described below.

[0234] Initial Setup Phase

[0235] 1. The user registers the business tools and workflow

[0236] A user launches a specific piece of software on their PC, which has an "initial setup" screen that provides the user with the options to "add business tools" and "add business flows."

[0237] Users register the names of business tools (e.g., spreadsheet software, word processor, CRM system) and how to use them, and register business flows (e.g., "enter customer information," "contract completion," "follow-up," etc.).

[0238] The registered data is sent to a server, which then trains the AI ​​to learn these business tools and processes.

[0239] Work monitoring phase

[0240] 1. The user starts work

[0241] A user starts working on a PC using a specific work tool. The monitoring software in the background begins monitoring the user's actions in real time.

[0242] 2. The device records your work

[0243] The device automatically records the start and end times of tasks based on a specific workflow, and also records the details of user operations and the number of transactions.

[0244] 3. The device recognizes the user's emotions

[0245] The device uses an emotion engine to monitor the user's emotional state in real time through a camera or voice input device, and the recognized emotional data is recorded along with the work record.

[0246] Report Generation Phase

[0247] 1. The device sends data to the server

[0248] The device sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start and end times of each business process, work details, number of transactions, and emotion data.

[0249] 2. The server generates the report

[0250] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, number of transactions, and the user's emotional state for each process.

[0251] The final report is made available to users for viewing via the dashboard and is also provided in downloadable formats (e.g. Excel, PDF).

[0252] Specific examples

[0253] Example: A user manages the progress and emotional state of a sales activity.

[0254] Initial Setup Phase

[0255] The user registers a CRM (Customer Relationship Management) system as a business tool for "sales activities." The user registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[0256] Work monitoring phase

[0257] A user uses the CRM system to perform each step of the process, specifically entering customer data and then completing the contract process to close the sale.

[0258] The terminal records the start and end times of each process, as well as the work content (e.g., number of customer data items entered) in real time.

[0259] The emotion engine monitors the user's facial expression and tone of voice to recognize their emotional state (e.g., stress, satisfaction, etc.) in real time.

[0260] Report Generation Phase

[0261] The device sends the recorded data to a server, which analyzes it and generates a detailed report for each task, including information such as the time it took to enter customer information, the time it took to complete the contract, the number of records processed, and the user's emotional state during each task step.

[0262] Users can view these reports on their dashboard and download them as needed.

[0263] This allows users to eliminate the need for manual recording and efficiently and accurately grasp work progress and emotional states. Furthermore, by receiving feedback based on emotional data, it is possible to quickly identify areas for improvement in work, contributing to an improved working environment.

[0264] The processing flow will be explained below.

[0265] Initial Setup Phase

[0266] Step 1:

[0267] A user launches a specific piece of software on their PC. The software's "Initial Setup" screen appears, offering the user the options to "Add Business Tools" and "Add Business Flows."

[0268] Step 2:

[0269] The user clicks the "Add Business Tool" button, enters the name of the tool to be used (e.g., spreadsheet software, word processor, CRM system), and presses the save button to register the tool.

[0270] Step 3:

[0271] The user clicks the "Add Business Flow" button and enters the names of each step of the business (e.g., "Enter Customer Information," "Complete Contract," "Follow-up") in order. Once the input is complete, the user clicks the save button to register the business flow.

[0272] Step 4:

[0273] The registered business tool and flow data is sent to the server, which receives this data and trains the AI.

[0274] Work monitoring phase

[0275] Step 5:

[0276] A user starts working using a specific work tool on their PC. The monitoring software starts up in the background and begins monitoring the user's operations in real time.

[0277] Step 6:

[0278] The device detects when an operation is started within a specific business tool and automatically records the start time of the operation (e.g., October 1, 2023, 10:00 AM).

[0279] Step 7:

[0280] The user proceeds with the work according to the business flow (e.g., "Enter customer information" and then proceed to "Complete contract").

[0281] Step 8:

[0282] The terminal monitors user operations in real time and records work details (operations and number of transactions) based on the business flow. If necessary, the number of transactions is also counted.

[0283] Step 9:

[0284] The emotion engine recognizes the user's emotional state in real time by using a camera and voice input device to analyze the user's facial expressions and tone of voice.

[0285] Step 10:

[0286] The device records the emotion data recognized by the emotion engine along with the work record. For example, it records the user's emotional state (stress, satisfaction, etc.) while working in chronological order.

[0287] Step 11:

[0288] The user completes all tasks and closes the work tool. The device automatically records the end time of the task (e.g., October 1, 2023, 12:00 PM).

[0289] Step 12:

[0290] The device temporarily stores the recorded data in local storage.

[0291] Report Generation Phase

[0292] Step 13:

[0293] The device sends the recorded data to the server at regular intervals (e.g., every hour or every day). The data includes the start and end times of each business process, work details, number of transactions, and emotion data.

[0294] Step 14:

[0295] The server analyzes the data it receives, organizes the data by business process, and calculates the time and totals the number of processed items.

[0296] Step 15:

[0297] The server generates a report based on the results of the aggregation, which includes the start time, end time, total man-hours, number of transactions, and the user's emotional state for each business process.

[0298] Step 16:

[0299] The server displays the generated report on a dashboard for the user to view and download.

[0300] Specific examples

[0301] Example: A user manages the progress and emotional state of a sales activity.

[0302] Initial Setup Phase

[0303] By performing steps 1 to 4, the user registers the CRM system as a business tool for "sales activities" and registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[0304] Work monitoring phase

[0305] By performing steps 5 to 12, the user performs the tasks of each step using the CRM system. Specifically, this is the process in which the user enters customer data and then completes the contract procedures for closing a sales deal.

[0306] The terminal records the start and end times of each process and the details of the operation (e.g., the number of customer data items entered) in real time, and the emotion engine monitors the user's facial expression and tone of voice to recognize their emotional state (e.g., stress, satisfaction, etc.).

[0307] Report Generation Phase

[0308] By executing steps 13 to 16, the device sends the recorded data to the server, which analyzes it and generates a detailed report for each task, including the time required to enter customer information, the time required to complete the contract, the number of data items processed, and the user's emotional state during each task step.

[0309] Users can view these reports on their dashboard and download them as needed.

[0310] This allows users to eliminate the need for manual recording and efficiently and accurately grasp work progress and emotional states. Furthermore, by receiving feedback based on emotional data, it is possible to quickly identify areas for improvement in work, contributing to an improved working environment.

[0311] Example 2

[0312] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0313] Conventional business record systems require users to manually record their work, which can lead to recording errors and time-waste. Furthermore, there is no way to grasp the user's emotional state, which means that workload and stress management are inadequate. This leads to issues such as reduced work efficiency and a worsening working environment.

[0314] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0315] In this invention, the server includes: a means for a user to register a business program and a business procedure; a means for the server to learn the business program and the business procedure; a means for a terminal to monitor a user's operation and record the start and end times of the work; a means for the terminal to monitor and record the user's emotional state in real time using an emotion recognition engine; a means for transmitting the recorded data to the server; and a means for the server to analyze the received data and generate a report. This eliminates the need for manual recording by the user, allowing the user to accurately grasp the progress of work and the emotional state. Furthermore, providing feedback to the user based on emotional data can be expected to improve work efficiency and the working environment.

[0316] "User" refers to a person who uses the system to perform work.

[0317] "Business programs" refer to software and applications that users use to carry out their work.

[0318] "Business procedures" refer to the processes and steps that users follow when performing their work.

[0319] "Server" refers to a central system that receives data from multiple users and analyzes and processes that data.

[0320] "Terminal" refers to a computer or device that is directly operated by a user and records work progress and emotional data.

[0321] An "emotion recognition engine" refers to technology that uses input devices such as cameras and microphones to monitor and analyze a user's emotional state.

[0322] "Data" includes information such as the user's operation content, the start and end times of the work, the number of processed items, and the emotional state.

[0323] A "report" refers to a document or file that compiles information such as the progress of work or the user's emotional state, generated from data analyzed by the server.

[0324] "Real-time" refers to the results of a process or operation being reflected almost immediately after it is performed.

[0325] "Feedback" refers to evaluations and suggestions for improvement regarding work processes and emotional states provided to users.

[0326] This invention combines a system that automatically records PC operations and automatically generates detailed reports including start and end timestamps and the number of transactions, with an emotion engine that recognizes the user's emotions. Specific embodiments for implementing this invention will be described below.

[0327] Initial Setup Phase

[0328] The user launches specific software on their PC. This software has an "Initial Setup" screen that provides the user with the options to "Add Business Programs" and "Add Business Procedures." The user registers the names of business programs (e.g., spreadsheet software, word processor, CRM system) and how to use them, and also registers business procedures (e.g., "Enter Customer Information," "Complete Contract," "Follow-up," etc.). The registered data is sent from the device to the server, which then trains the AI ​​model on these business programs and procedures.

[0329] Work monitoring phase

[0330] A user starts work using a specific business program on their PC. For example, the user begins entering customer information into a CRM system. At this time, monitoring software running in the background automatically detects the user's actions and begins monitoring. The device records the user's actions in real time and automatically logs the start and end times of tasks based on work procedures. The device also uses an emotion recognition engine to monitor the user's emotional state in real time through input devices such as a camera and microphone, and records the recognized emotional data.

[0331] Report Generation Phase

[0332] The terminals send all recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time and end time of each business process, work details, number of processes, and emotional data. The server analyzes the data received from the terminals and automatically generates detailed reports on all business processes. Based on the information stored in the database, the server compiles the start time and end time of each process, total man-hours, number of processes, and the user's emotional state, and generates graphs and tables. The final report can be viewed by the user from the management screen (dashboard), and a button is provided to allow downloading in formats such as Excel or PDF, if necessary.

[0333] Specific examples

[0334] Example: A user manages the progress and emotional state of a sales activity.

[0335] The user registers the CRM system as a business program for "sales activities." The user registers three steps as "business procedures": "enter customer information," "contract completion," and "follow-up."

[0336] When a user starts entering customer information into the CRM system, the device monitors the task in real time in the background and automatically records the start and end times.The emotion recognition engine analyzes the user's facial expressions through the camera and the tone of voice through the microphone, recording emotional data in real time.

[0337] The device sends all recorded data to a server, which analyzes it and generates a detailed report. For example, the report includes information such as the time required to enter customer information, the time required to complete a contract, the number of transactions, and the user's emotional state during each step of the process. Users can check the report on a dashboard to grasp the progress of their work and their own emotional state at a glance. They can also identify areas for improvement and efficiency, which can be used to improve the work environment.

[0338] Prompt Sentence Examples

[0339] "This system includes the initial setup, work monitoring, and report generation phases for automatically recording PC operations and generating detailed reports and emotion data. An example of a specific business flow is the progress management of sales activities. Using this as an example, please explain the initial setup phase, work monitoring phase, and report generation phase."

[0340] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0341] Step 1:

[0342] The user starts the business program and performs the initial settings.

[0343] Input: Business programs (e.g., business management software), user business procedure data

[0344] How it works: A user launches a business program on their PC and uses the "Add Business Program" and "Add Business Procedure" options on the "Initial Setup" screen. They enter the business program's name, usage instructions, and related files and links, and the business procedure's step name, summary, and required files and links.

[0345] Output: Business programs and business procedure data are saved on the terminal.

[0346] Step 2:

[0347] The terminal transmits the initial setting data to the server.

[0348] Input: Data entered by the user for business programs and procedures

[0349] Operation: At regular intervals (e.g., after each change is completed), the device sends initialization data to the server. This data includes details about business programs and procedures.

[0350] Output: Based on the initial setting data received by the server, the AI ​​model learns the business program and business procedures.

[0351] Step 3:

[0352] A user starts a task using a specific task program.

[0353] Input: Business programs, user operations

[0354] How it works: When a user opens a CRM system or spreadsheet and starts working, the monitoring software automatically detects the user's actions in the background and begins monitoring.

[0355] Output: The terminal detects the start of the user's operation and prepares for recording.

[0356] Step 4:

[0357] The device records user operations in real time.

[0358] Input: User operation data (e.g. keyboard input, mouse clicks, etc.)

[0359] Operation: The terminal records user operations in real time, automatically recording the start and end times of operations in a log, and also records work details and the number of transactions based on business procedures.

[0360] Output: Operation log (start time, end time, work details, number of processed items) is saved on the terminal.

[0361] Step 5:

[0362] The device utilizes an emotion recognition engine to monitor and record the user's emotional state in real time.

[0363] Input: User's facial expression data (camera), voice data (microphone)

[0364] How it works: The device uses an emotion recognition engine to analyze the user's facial expressions through the camera and the tone of voice through the microphone, determining and recording the user's emotional state (e.g., satisfaction, stress, excitement, etc.) in real time.

[0365] Output: Emotion data is saved on the device along with the operation log.

[0366] Step 6:

[0367] The terminal transmits the recorded data to the server.

[0368] Input: Operation log, emotion data

[0369] How it works: The device sends all recorded data to the server at regular intervals (for example, every hour or every day). The transmission protocol is HTTP or WebSocket.

[0370] Output: Data is stored on the server.

[0371] Step 7:

[0372] The server analyzes the received data and generates a detailed report.

[0373] Input: Operation log and emotion data sent from the device

[0374] Operation: The server compiles the start time, end time, total man-hours, number of transactions, and user emotional state of each process based on the information stored in the database. Based on the analysis results, graphs and tables are generated and reports are automatically created.

[0375] Output: A detailed report is generated and saved on the server.

[0376] Step 8:

[0377] A user views and downloads a report from the dashboard.

[0378] Input: Generated report

[0379] How it works: A user accesses the dashboard using a web browser, views the generated reports, and optionally downloads them in formats such as Excel or PDF.

[0380] Output: Users can view the report to understand their work progress and their own emotional state. They can also download and save the report.

[0381] (Application example 2)

[0382] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0383] Conventional self-driving vehicles record driving conditions and operations, but lack a means to monitor passengers' emotional states. As a result, it is not possible to grasp passengers' real-time emotional changes, making it difficult to evaluate safety and comfort during operation. In addition, improving driving algorithms based on emotional data has been difficult, making it a challenge to build a more user-friendly system.

[0384] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for learning operation tools and operation flows, means for monitoring user operations and recording the start and end times of tasks, means for recognizing and recording emotions in real time, and means for transmitting the recorded data to the server, analyzing the received data, and generating a report. This makes it possible to monitor the emotional states of passengers in real time and manage them together with operation data.

[0385] - "Operational Tools" refers to software and hardware that a user uses to perform a specific task or operation.

[0386] An "operational flow" is a series of procedures or steps required to complete a particular task or work.

[0387] "Means for recognizing emotions" refers to technology that uses cameras and voice input devices to detect and analyze a user's emotional state in real time.

[0388] "Means for recording the start and end times of work" refers to a system that automatically records the time when a user starts and finishes an operation.

[0389] "Means for transmitting recorded data to a server" refers to a mechanism for transmitting recorded data at specific intervals to a server via a network.

[0390] "Means for analyzing received data and generating reports" refers to the algorithms that the server uses to analyze the data received and create detailed reports.

[0391] "Means for recording work details and number of processed items" refers to a system that records the specific operations performed by the user and the number of processed items.

[0392] "Total man-hours" refers to the total time and effort required for a specific task or operation.

[0393] This invention is a system that allows users to register operation tools and operation flows, and then monitors and records the operating status of autonomous vehicles and the emotional state of passengers in detail, and generates reports based on that information.

[0394] Initial Setup Phase

[0395] Users register the operation tools and operation flows for the autonomous vehicle through a smartphone application. Specifically, the operation tools link with the autonomous vehicle's system and register operation flows such as "highway driving" and "parking assist." This data is sent to a cloud server, which uses an AI model to learn these flows and tools.

[0396] Work monitoring phase

[0397] At the start of operation, a terminal (smartphone or on-board computer) monitors the autonomous vehicle's operation and surrounding conditions in real time. The terminal records the start and end times of each operation during operation, as well as the details of the operation. In addition, using the terminal's built-in camera and voice input device, the emotion engine recognizes the passenger's emotional state in real time and records the emotion data. The emotion engine uses face recognition technology using OpenCV and emotion analysis technology using dlib.

[0398] Report Generation Phase

[0399] The recorded data is periodically sent to a cloud server, which analyzes the received data and generates a detailed report. The report includes the start and end times of operations, details of each operation, passenger emotional state, number of transactions, and total man-hours. This allows feedback based on passenger emotions as well as operational status. The generated report can be viewed by managers on the dashboard and can also be downloaded as needed.

[0400] Specific examples

[0401] For example, while an autonomous vehicle is driving through a city, the terminal initiates the "urban driving" operation flow and records the operation details for each step. At the same time, cameras and voice input devices are used to monitor the passengers' emotional state in real time, collecting emotional data such as "relief" and "anxiety." After the trip is completed, all recorded data is sent to a cloud server, and a detailed report is generated. This report can provide insights, such as passengers often feeling anxious in certain sections, which can be used to improve the autonomous driving algorithm.

[0402] Prompt Sentence Examples

[0403] "How does an application that monitors the emotional state of passengers in a self-driving vehicle in real time work?"

[0404] "Describe a system that uses an emotion engine to detect passenger anxiety and generate a report along with operational data."

[0405] In this way, the present invention can monitor and record the driving conditions of autonomous vehicles and the emotional state of passengers in detail, and generate reports based on the data, which can then be used to evaluate and improve safety and comfort.

[0406] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0407] Step 1:

[0408] The user registers the operation tools and operation flows. Specifically, the user launches a smartphone application and registers the operation tools (e.g., vehicle control interface) and operation flows (e.g., "highway driving" and "parking assist") of the autonomous vehicle. The registered information is sent to the cloud server. The input is data related to the user's operation tools and operation flows, and the output is configuration data stored on the cloud server.

[0409] Step 2:

[0410] The server learns the operation tools and operation flows. The cloud server learns these flows using an AI model based on the registered operation tools and operation flows. The input is the operation tool and operation flow data sent to the cloud server, and the output is a trained AI model.

[0411] Step 3:

[0412] The terminal monitors the user's operations and records the start and end times of the operations. Once the autonomous vehicle begins operation, the terminal (smartphone or on-board computer) records the start and end times of operations during operation in real time. The input is timestamp data regarding the user's operations, and the output is log data including the start and end times.

[0413] Step 4:

[0414] The device recognizes emotions in real time and records the emotional state. The emotion engine recognizes the passenger's emotional state in real time using the device's built-in camera and audio input device. The emotion engine uses OpenCV and dlib for facial recognition and emotion analysis. The inputs are camera footage and audio data, and the output is recognized emotion data.

[0415] Step 5:

[0416] The recorded data is sent to the server. The device sends all recorded data to the cloud server at regular intervals (for example, every hour). The inputs are operation log data and emotion data, and the output is the data transferred to the cloud server.

[0417] Step 6:

[0418] The server analyzes the received data and generates a report. The cloud server analyzes the received data and generates a detailed report of the operation. The report includes the operation start time, end time, operation content, passenger emotional state, number of transactions, total labor hours, etc. The input is the operation log data and emotional data stored on the server, and the output is a detailed report.

[0419] Step 7:

[0420] Users can view and download detailed reports. Users can view the generated reports from the management screen (dashboard) and download them as needed. The input is the report data stored on the cloud server, and the output is a report in a format that users can view.

[0421] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0422] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0423] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0424] [Second embodiment]

[0425] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0426] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0427] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0428] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0429] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0430] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0431] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0432] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0433] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0434] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0435] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0436] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0437] The present invention relates to a system that automatically records operations on a PC and automatically generates a detailed report including start and end timestamps and the number of transactions. Specific embodiments of the present invention will be described below.

[0438] Initial Setup Phase

[0439] 1. The user registers the business tools and workflow

[0440] A user launches a specific piece of software on their PC, which has an "initial setup" screen with options to "add business tools" and "add business flows."

[0441] Users register the names of business tools (e.g., spreadsheet software, word processor, CRM system) and how to use them, and register business flows (e.g., "enter customer information," "contract completion," "follow-up," etc.).

[0442] The registered data is sent to a server, which then trains the AI ​​to learn these business tools and workflows.

[0443] Work monitoring phase

[0444] 1. The user starts work

[0445] A user starts working on a PC using a specific work tool. The monitoring software in the background begins monitoring the user's actions in real time.

[0446] 2. The device records your work

[0447] The device automatically records the start and end times of tasks based on a specific workflow, and also records the details of user operations and the number of transactions.

[0448] Report Generation Phase

[0449] 1. The device sends data to the server

[0450] The terminal sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[0451] 2. The server generates the report

[0452] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, and number of transactions for each process.

[0453] The final report is made available to users for viewing via the dashboard and is also provided in downloadable formats (e.g. Excel, PDF).

[0454] Specific examples

[0455] Example: When a user manages the progress of sales activities

[0456] Initial Setup Phase

[0457] The user registers a CRM (Customer Relationship Management) system as a business tool for "sales activities." The user registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[0458] Work monitoring phase

[0459] A user uses the CRM system to perform each step of the process, specifically entering customer data and then completing the contract process to close the sale.

[0460] The terminal records the start and end times of each process, as well as the work content (e.g., number of customer data items entered) in real time.

[0461] Report Generation Phase

[0462] The device sends the recorded data to a server, which analyzes it and generates detailed reports for each transaction, including the time it took to enter customer information, the time it took to complete a contract, and the number of transactions processed.

[0463] Users can view these reports on their dashboard and download them as needed.

[0464] This allows users to eliminate the need for manual recording and efficiently and accurately grasp the progress of their work.

[0465] The processing flow will be explained below.

[0466] Initial Setup Phase

[0467] Step 1:

[0468] A user launches a specific piece of software on their PC. The software's "Initial Setup" screen appears, offering the user the options to "Add Business Tools" and "Add Business Flows."

[0469] Step 2:

[0470] The user clicks the "Add Business Tool" button, enters the name of the tool to be used (e.g., spreadsheet software, word processor, CRM system), and presses the save button to register the tool.

[0471] Step 3:

[0472] The user clicks the "Add Business Flow" button and enters the names of each step of the business (e.g., "Enter Customer Information," "Complete Contract," "Follow-up") in order. Once the input is complete, the user clicks the save button to register the business flow.

[0473] Step 4:

[0474] The registered business tool and flow data is sent to the server, which receives this data and trains the AI.

[0475] Work monitoring phase

[0476] Step 5:

[0477] A user starts working using a specific work tool on their PC. The monitoring software starts up in the background and begins monitoring the user's operations in real time.

[0478] Step 6:

[0479] The device detects when an operation is started within a specific business tool and automatically records the start time of the operation (e.g., October 1, 2023, 10:00 AM).

[0480] Step 7:

[0481] The user proceeds with the work according to the business flow (e.g., "Enter customer information" and then proceed to "Complete contract").

[0482] Step 8:

[0483] The terminal monitors user operations in real time and records work details (operations and number of transactions) based on the business flow. If necessary, the number of transactions is also counted.

[0484] Step 9:

[0485] The user completes all tasks and closes the work tool. The device automatically records the end time of the task (e.g., October 1, 2023, 12:00 PM).

[0486] Step 10:

[0487] The device temporarily stores the recorded data in local storage.

[0488] Report Generation Phase

[0489] Step 11:

[0490] The device sends the recorded data to the server at regular intervals (e.g., every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[0491] Step 12:

[0492] The server analyzes the data it receives, organizes the data by business process, and calculates the time and totals the number of processed items.

[0493] Step 13:

[0494] The server generates a report based on the aggregation results, which includes the start time, end time, total man-hours, number of processed items, etc. for each business process.

[0495] Step 14:

[0496] The server displays the generated report on a dashboard for the user to view and download.

[0497] Example 1

[0498] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0499] Conventional work management systems require users to manually record work, which entails labor and the risk of errors. In addition, it is difficult to grasp detailed work data and progress status in real time, making it difficult to improve work efficiency and accurately manage progress.

[0500] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0501] In this invention, the server includes: a means for a user to register work tools and work procedures; a means for the server to learn the work tools and work procedures; a means for a terminal to monitor user operations and record the start and end times of work; a means for the terminal to record the user's operation details and the number of transactions; a means for the server to transmit the recorded data to the server; and a means for the server to analyze the received data and generate a report including the start time, end time, operation details, and the number of transactions. This eliminates the need for manual recording by the user, enabling efficient and accurate understanding of the progress of work in real time.

[0502] "User" refers to an entity that registers business tools and business procedures and performs business.

[0503] "Business tools" refers collectively to various software and hardware that users use to carry out their work.

[0504] "Business procedure" refers to a step-by-step workflow when a user performs a business operation.

[0505] A "means" refers to a piece of equipment or software configured to perform a particular function.

[0506] "Server" refers to the central computing unit that receives and analyzes data sent by the User and provides the User with the necessary information.

[0507] A "terminal" is a device that allows a user to perform operations and has the function of recording and transmitting user operations.

[0508] "Learning a business" refers to the process by which the server analyzes business information provided by the user, understands its contents, and memorizes them.

[0509] "Monitoring operations" refers to the process of monitoring users' PC operations in real time and recording necessary data.

[0510] "Start time" refers to the time when a particular task or operation begins.

[0511] "Finish time" refers to the time when a particular task or activity is completed.

[0512] "Number of processed items" refers to the number of items or data processed by a user in a specific business process.

[0513] "Sending data" refers to the process in which the terminal sends recorded data to the server.

[0514] "Analyzing the data" refers to the process by which the server scrutinizes the data it receives and extracts meaningful information.

[0515] A "report" is a document or file generated based on data analyzed by the server, and is a tool that allows users to check the progress and results of their work.

[0516] This invention is a system that automatically records the progress of work and generates detailed reports based on the results. This system allows users to register work tools and work procedures, terminals to monitor user operations, and a server to analyze the data and generate reports, enabling efficient and accurate progress management of work.

[0517] The implementation of the system includes the following specific steps:

[0518] First, the user launches the dedicated software on their PC. This software has an "Initial Setup" screen that includes options for "Add Business Tools" and "Add Business Flow." The user uses these options to register business tools (e.g., Microsoft Excel, Google Docs, CRM system) and business procedures (e.g., "Enter Customer Information," "Complete Contract," "Follow-up"). The registered data is sent to the server, which then trains the AI ​​model with this business information. Specifically, the registered data is added to the database and the AI ​​model is trained.

[0519] Next, the user begins work using a specific business tool on their PC. The monitoring software runs in the background, monitoring the user's actions in real time. For example, when a user enters customer data into a CRM system, their input actions and clicks are monitored. The device automatically records the start and end times of each task based on the work procedure, as well as detailed records of the operations and the number of transactions.

[0520] The recorded data is sent to the server at set intervals (for example, every hour). The terminal adjusts the timing of this data transmission and sends the data to the server. The server analyzes the received data and generates a detailed report of all business processes. The report includes the start time, end time, operation details, and number of processed items. The generated report can be viewed by the user from the management screen (dashboard) and can also be downloaded in Excel or PDF format.

[0521] As a concrete example, consider the case where a user manages the progress of sales activities. The user registers a CRM system as a business tool for "sales activities" and registers three steps as a "workflow": "enter customer information," "contract completion," and "follow-up." Next, the user actually uses the CRM system to enter customer data and go through the procedures for contract completion, and all of these operations are recorded in real time. Finally, the server generates a detailed report based on the recorded data, which the user can view on a dashboard.

[0522] Examples of prompt sentences include the following:

[0523] "Generate a report of business records in sales management"

[0524] "Please tell me the start and end times of the customer information entry process and the number of transactions processed."

[0525] This system allows users to eliminate manual recording work and efficiently and accurately grasp the progress of their work.

[0526] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0527] Step 1:

[0528] The user registers business tools and business procedures.

[0529] Input: The user accesses the initial setting screen and inputs the names of the business tools, how to use them, and business procedures.

[0530] Data processing: The entered names and usage methods of business tools and business procedures are converted into JSON format.

[0531] Output: Sends JSON formatted data to the server.

[0532] Specific operation: The user selects the "Add business tool" and "Add business flow" options, enters specific information, and clicks the "Submit" button.

[0533] Step 2:

[0534] The server learns the business tools and procedures.

[0535] Input: The JSON formatted business tools and procedures data submitted in Step 1.

[0536] Data processing: Store the incoming data in a database and build a training dataset to train the generative AI model.

[0537] Output: A trained AI model that understands business tools and procedures.

[0538] Specific operation: The server stores the received data in a database and executes the training process for the AI ​​model.

[0539] Step 3:

[0540] The user begins work.

[0541] Input: A user starts a business tool (e.g., a CRM system) and starts work according to business procedures.

[0542] Data processing: Operation logs of business tools are recorded using monitoring software.

[0543] Output: Data recorded as an operation log.

[0544] What happens: When a user starts entering customer information into the CRM system, the activity is recorded in real time by the monitoring software.

[0545] Step 4:

[0546] The device records the work.

[0547] Input: User operation logs captured by monitoring software.

[0548] Data processing: Extract the start time, end time, operation details, and number of processed items from the operation log.

[0549] Output: Recorded data including start time, end time, operation details, and number of transactions.

[0550] Specific operations: The device automatically records details such as the start time of user operations, input content, click operations, and end time.

[0551] Step 5:

[0552] The device sends the data to the server.

[0553] Input: Recorded data (start time, end time, operation details, number of transactions).

[0554] Data processing: Converting recorded data into an appropriate format (e.g., CSV or JSON).

[0555] Output: Send the format-converted recording data to the server.

[0556] Specific operation: The terminal collects recorded data every hour, converts it into an appropriate format, and sends it to the server.

[0557] Step 6:

[0558] The server analyzes the received data.

[0559] Input: Recorded data sent from the terminal.

[0560] Data processing: Analyze received data and extract detailed information about each business process.

[0561] Output: Parsed data.

[0562] Specific operation: The server stores the received data in a database and analyzes the data using an AI model.

[0563] Step 7:

[0564] The server generates the report.

[0565] Input: Parsed data.

[0566] Data processing: Based on the analysis data, a report is generated that includes the start time, end time, operation details, and number of transactions.

[0567] Output: The generated report.

[0568] Specific operation: The server creates a report based on the analysis results and allows the user to view it from a dashboard.

[0569] This eliminates the need for manual recording by users, allowing them to efficiently and accurately grasp the progress of their work in real time.

[0570] (Application example 1)

[0571] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0572] Conventional business management systems require users to manually record the start and end times of tasks, work details, and the number of transactions, which increases the likelihood of human error and time waste. Additionally, there is a lack of a way to record detailed operation logs for machines and robots used in factories and analyze the results, making it difficult to obtain specific data to improve overall business efficiency.

[0573] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0574] In this invention, the server includes: a means for a user to register business tools and business flows; a means for the server to learn the business tools and business flows; a means for a terminal to monitor user operations and record the start and end times of work; a means for transmitting the recorded data to the server; a means for the server to analyze the received data and generate a report; and a means for recording operation logs of factory machines or robots and generating detailed reports. This eliminates the need for manual recording by the user, enabling efficient and accurate understanding of business progress. By automatically recording these processes based on the occurrence of events and generating detailed reports, business management and factory operations can be optimized.

[0575] The "means for users to register business tools and business flows" is an interface that allows users to register the business software they use and a series of operating procedures for it.

[0576] The "means for the server to learn business tools and business flows" is a system that enables the server to understand and store business software registered by the user and its operating procedures.

[0577] "Means for a terminal to monitor user operations and record the start and end times of tasks" refers to software or hardware that monitors in real time the various operations a user performs on a PC and automatically records the start and end times of those operations.

[0578] The "means for transmitting recorded data to a server" is a communication module for transmitting operation data recorded on a user's terminal to a server periodically or in real time.

[0579] "Means for the server to analyze received data and generate reports" refers to a system in which the server processes and analyzes data received from user terminals, and automatically generates reports based on the results to evaluate the progress and efficiency of business operations.

[0580] "Means for recording operation logs of factory machines or robots and generating detailed reports" refers to a system that records in detail the operation history and work content of various machines and robots used in the factory, and generates detailed business reports based on that data.

[0581] "Business tools" refers to software and hardware that users use to carry out their daily work.

[0582] A "business flow" refers to a series of procedures or operational steps for carrying out a specific business operation.

[0583] "Work details" refers to information including the specific content and procedures of each work.

[0584] "Number of processed items" refers to the number of data or items processed in a specific task or work step.

[0585] This invention describes a specific system that records detailed operation logs of factory robots and automatically generates reports that evaluate the progress and efficiency of work based on the logs. An embodiment of this system will be described in detail below.

[0586] Initial Setup Phase

[0587] 1. The user registers the business tools and workflow.

[0588] First, the user launches the dedicated software on their PC. This software has an "Initial Setup" screen, which includes options for "Add Business Tools" and "Add Business Flows."

[0589] Users register business tools (e.g., spreadsheets, word processors, factory control software) and how to use them, and then register business flows (e.g., "welding operations," "parts assembly," "quality inspection," etc.).

[0590] The registered data is sent to the server, which then trains the AI ​​model on business tools and workflows.

[0591] Work monitoring phase

[0592] 2. The user begins work

[0593] A user begins work using a specific business tool on a factory robot or PC. In the background, monitoring software begins monitoring the user and robot operations in real time.

[0594] 3. The device records your work

[0595] Based on the workflow registered by the user, the device automatically records the start and end times of tasks, as well as details of operations and the number of transactions.

[0596] Report Generation Phase

[0597] 4. The device sends the data to the server

[0598] The terminal sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[0599] 5. The server generates the report

[0600] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, and number of transactions for each process.

[0601] The reports generated by the server are made available to users for viewing via the dashboard and are also provided in downloadable formats (e.g. Excel, PDF) if required.

[0602] Hardware and software used

[0603] Dedicated software: Runs on a PC or tablet device and accepts user input.

[0604] Monitoring software: Real-time monitoring of user actions and robot behavior.

[0605] Server: Analyzes the received data and generates reports. Performs data learning using AI models.

[0606] Communication module: Sends data from the terminal to the server.

[0607] Specific examples

[0608] If the user operates a robot in a factory:

[0609] Initial setup phase: The user registers the control software for "welding operations" and registers the steps of "part setup," "welding start," and "welding end" as the "business flow."

[0610] Work monitoring phase: The user performs the work according to the registered flow, and the device records the operation details in real time.

[0611] Report generation phase: The server analyzes the recorded data and generates detailed reports, which users can view on their dashboard and download as needed.

[0612] Example prompts for generative AI models

[0613] We would like you to design a system that automatically records the start time, end time, and work details of each operation performed by a factory robot, and generates a detailed report. The operations to be recorded include the specific work process name, start time, end time, and details (e.g., number of processed items). The operation log should be saved in JSON format and output as a report.

[0614] In this way, users can eliminate the need for manual recording and efficiently and accurately grasp the progress of their work, thereby optimizing work management and factory operations.

[0615] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0616] Step 1:

[0617] The user registers business tools and workflows. They launch specific software on their PC and enter the information required to "add business tools" and "add workflows" into the interface. The entered data is sent to the server, and the registration of the business tools and workflows is completed.

[0618] Step 2:

[0619] The server learns the business tools and workflow. Specifically, it trains the AI ​​model based on the information it receives, thereby learning the patterns of the business tools and workflow. The input data is the business tools, how to use them, and the workflow procedures, and the output is the trained AI model.

[0620] Step 3:

[0621] The user begins work. They begin using a specific work tool on their PC or on the control panel of a factory robot. The terminal begins monitoring the operation in real time in the background. The input data is the user's operation, and the output is the start of recording the operation log.

[0622] Step 4:

[0623] The terminal records the start and end times of work. It automatically records the start and end times of operations performed by users according to a specific business flow. The input data is the timing and content of the operation, and the output is timestamps of the start and end times. The operation content is also recorded in detail based on a specific business flow.

[0624] Step 5:

[0625] The terminal sends the recorded data to the server at regular intervals. As the user continues to work, the terminal collects data such as operation details and number of processes, and sends this data to the server at specified intervals. The input data is the operation log recorded on the terminal, and the output is the data sent to the server.

[0626] Step 6:

[0627] The server analyzes the received data and generates a report. The server analyzes the received operation log data and automatically generates a detailed report including the start time, end time, total man-hours, and number of processed items for each business process. The input data is the operation log sent to the server, and the output is the analyzed report.

[0628] Step 7:

[0629] The server generates reports that users can view and download. The server displays the generated reports on a dashboard so users can review the reports. The reports can also be downloaded in Excel or PDF format. The input data is the server-generated reports, and the output is a user-accessible dashboard.

[0630] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0631] The present invention combines a system that automatically records PC operations and automatically generates detailed reports including start and end timestamps and the number of transactions, with an emotion engine that recognizes the user's emotions. Specific embodiments of the present invention are described below.

[0632] Initial Setup Phase

[0633] 1. The user registers the business tools and workflow

[0634] A user launches a specific piece of software on their PC, which has an "initial setup" screen that provides the user with the options to "add business tools" and "add business flows."

[0635] Users register the names of business tools (e.g., spreadsheet software, word processor, CRM system) and how to use them, and register business flows (e.g., "enter customer information," "contract completion," "follow-up," etc.).

[0636] The registered data is sent to a server, which then trains the AI ​​to learn these business tools and processes.

[0637] Work monitoring phase

[0638] 1. The user starts work

[0639] A user starts working on a PC using a specific work tool. The monitoring software in the background begins monitoring the user's actions in real time.

[0640] 2. The device records your work

[0641] The device automatically records the start and end times of tasks based on a specific workflow, and also records the details of user operations and the number of transactions.

[0642] 3. The device recognizes the user's emotions

[0643] The device uses an emotion engine to monitor the user's emotional state in real time through a camera or voice input device, and the recognized emotional data is recorded along with the work record.

[0644] Report Generation Phase

[0645] 1. The device sends data to the server

[0646] The device sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start and end times of each business process, work details, number of transactions, and emotion data.

[0647] 2. The server generates the report

[0648] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, number of transactions, and the user's emotional state for each process.

[0649] The final report is made available to users for viewing via the dashboard and is also provided in downloadable formats (e.g. Excel, PDF).

[0650] Specific examples

[0651] Example: A user manages the progress and emotional state of a sales activity.

[0652] Initial Setup Phase

[0653] The user registers a CRM (Customer Relationship Management) system as a business tool for "sales activities." The user registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[0654] Work monitoring phase

[0655] A user uses the CRM system to perform each step of the process, specifically entering customer data and then completing the contract process to close the sale.

[0656] The terminal records the start and end times of each process, as well as the work content (e.g., number of customer data items entered) in real time.

[0657] The emotion engine monitors the user's facial expression and tone of voice to recognize their emotional state (e.g., stress, satisfaction, etc.) in real time.

[0658] Report Generation Phase

[0659] The device sends the recorded data to a server, which analyzes it and generates a detailed report for each task, including information such as the time it took to enter customer information, the time it took to complete the contract, the number of records processed, and the user's emotional state during each task step.

[0660] Users can view these reports on their dashboard and download them as needed.

[0661] This allows users to eliminate the need for manual recording and efficiently and accurately grasp work progress and emotional states. Furthermore, by receiving feedback based on emotional data, it is possible to quickly identify areas for improvement in work, contributing to an improved working environment.

[0662] The processing flow will be explained below.

[0663] Initial Setup Phase

[0664] Step 1:

[0665] A user launches a specific piece of software on their PC. The software's "Initial Setup" screen appears, offering the user the options to "Add Business Tools" and "Add Business Flows."

[0666] Step 2:

[0667] The user clicks the "Add Business Tool" button, enters the name of the tool to be used (e.g., spreadsheet software, word processor, CRM system), and presses the save button to register the tool.

[0668] Step 3:

[0669] The user clicks the "Add Business Flow" button and enters the names of each step of the business (e.g., "Enter Customer Information," "Complete Contract," "Follow-up") in order. Once the input is complete, the user clicks the save button to register the business flow.

[0670] Step 4:

[0671] The registered business tool and flow data is sent to the server, which receives this data and trains the AI.

[0672] Work monitoring phase

[0673] Step 5:

[0674] A user starts working using a specific work tool on their PC. The monitoring software starts up in the background and begins monitoring the user's operations in real time.

[0675] Step 6:

[0676] The device detects when an operation is started within a specific business tool and automatically records the start time of the operation (e.g., October 1, 2023, 10:00 AM).

[0677] Step 7:

[0678] The user proceeds with the work according to the business flow (e.g., "Enter customer information" and then proceed to "Complete contract").

[0679] Step 8:

[0680] The terminal monitors user operations in real time and records work details (operations and number of transactions) based on the business flow. If necessary, the number of transactions is also counted.

[0681] Step 9:

[0682] The emotion engine recognizes the user's emotional state in real time by using a camera and voice input device to analyze the user's facial expressions and tone of voice.

[0683] Step 10:

[0684] The device records the emotion data recognized by the emotion engine along with the work record. For example, it records the user's emotional state (stress, satisfaction, etc.) while working in chronological order.

[0685] Step 11:

[0686] The user completes all tasks and closes the work tool. The device automatically records the end time of the task (e.g., October 1, 2023, 12:00 PM).

[0687] Step 12:

[0688] The device temporarily stores the recorded data in local storage.

[0689] Report Generation Phase

[0690] Step 13:

[0691] The device sends the recorded data to the server at regular intervals (e.g., every hour or every day). The data includes the start and end times of each business process, work details, number of transactions, and emotion data.

[0692] Step 14:

[0693] The server analyzes the data it receives, organizes the data by business process, and calculates the time and totals the number of processed items.

[0694] Step 15:

[0695] The server generates a report based on the results of the aggregation, which includes the start time, end time, total man-hours, number of transactions, and the user's emotional state for each business process.

[0696] Step 16:

[0697] The server displays the generated report on a dashboard for the user to view and download.

[0698] Specific examples

[0699] Example: A user manages the progress and emotional state of a sales activity.

[0700] Initial Setup Phase

[0701] By performing steps 1 to 4, the user registers the CRM system as a business tool for "sales activities" and registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[0702] Work monitoring phase

[0703] By performing steps 5 to 12, the user performs the tasks of each step using the CRM system. Specifically, this is the process in which the user enters customer data and then completes the contract procedures for closing a sales deal.

[0704] The terminal records the start and end times of each process and the details of the operation (e.g., the number of customer data items entered) in real time, and the emotion engine monitors the user's facial expression and tone of voice to recognize their emotional state (e.g., stress, satisfaction, etc.).

[0705] Report Generation Phase

[0706] By executing steps 13 to 16, the device sends the recorded data to the server, which analyzes it and generates a detailed report for each task, including the time required to enter customer information, the time required to complete the contract, the number of data items processed, and the user's emotional state during each task step.

[0707] Users can view these reports on their dashboard and download them as needed.

[0708] This allows users to eliminate the need for manual recording and efficiently and accurately grasp work progress and emotional states. Furthermore, by receiving feedback based on emotional data, it is possible to quickly identify areas for improvement in work, contributing to an improved working environment.

[0709] Example 2

[0710] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0711] Conventional business record systems require users to manually record their work, which can lead to recording errors and time-waste. Furthermore, there is no way to grasp the user's emotional state, which means that workload and stress management are inadequate. This leads to issues such as reduced work efficiency and a worsening working environment.

[0712] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0713] In this invention, the server includes: a means for a user to register a business program and a business procedure; a means for the server to learn the business program and the business procedure; a means for a terminal to monitor a user's operation and record the start and end times of the work; a means for the terminal to monitor and record the user's emotional state in real time using an emotion recognition engine; a means for transmitting the recorded data to the server; and a means for the server to analyze the received data and generate a report. This eliminates the need for manual recording by the user, allowing the user to accurately grasp the progress of work and the emotional state. Furthermore, providing feedback to the user based on emotional data can be expected to improve work efficiency and the working environment.

[0714] "User" refers to a person who uses the system to perform work.

[0715] "Business programs" refer to software and applications that users use to carry out their work.

[0716] "Business procedures" refer to the processes and steps that users follow when performing their work.

[0717] "Server" refers to a central system that receives data from multiple users and analyzes and processes that data.

[0718] "Terminal" refers to a computer or device that is directly operated by a user and records work progress and emotional data.

[0719] An "emotion recognition engine" refers to technology that uses input devices such as cameras and microphones to monitor and analyze a user's emotional state.

[0720] "Data" includes information such as the user's operation content, the start and end times of the work, the number of processed items, and the emotional state.

[0721] A "report" refers to a document or file that compiles information such as the progress of work or the user's emotional state, generated from data analyzed by the server.

[0722] "Real-time" refers to the results of a process or operation being reflected almost immediately after it is performed.

[0723] "Feedback" refers to evaluations and suggestions for improvement regarding work processes and emotional states provided to users.

[0724] This invention combines a system that automatically records PC operations and automatically generates detailed reports including start and end timestamps and the number of transactions, with an emotion engine that recognizes the user's emotions. Specific embodiments for implementing this invention will be described below.

[0725] Initial Setup Phase

[0726] The user launches specific software on their PC. This software has an "Initial Setup" screen that provides the user with the options to "Add Business Programs" and "Add Business Procedures." The user registers the names of business programs (e.g., spreadsheet software, word processor, CRM system) and how to use them, and also registers business procedures (e.g., "Enter Customer Information," "Complete Contract," "Follow-up," etc.). The registered data is sent from the device to the server, which then trains the AI ​​model on these business programs and procedures.

[0727] Work monitoring phase

[0728] A user starts work using a specific business program on their PC. For example, the user begins entering customer information into a CRM system. At this time, monitoring software running in the background automatically detects the user's actions and begins monitoring. The device records the user's actions in real time and automatically logs the start and end times of tasks based on work procedures. The device also uses an emotion recognition engine to monitor the user's emotional state in real time through input devices such as a camera and microphone, and records the recognized emotional data.

[0729] Report Generation Phase

[0730] The terminals send all recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time and end time of each business process, work details, number of processes, and emotional data. The server analyzes the data received from the terminals and automatically generates detailed reports on all business processes. Based on the information stored in the database, the server compiles the start time and end time of each process, total man-hours, number of processes, and the user's emotional state, and generates graphs and tables. The final report can be viewed by the user from the management screen (dashboard), and a button is provided to allow downloading in formats such as Excel or PDF, if necessary.

[0731] Specific examples

[0732] Example: A user manages the progress and emotional state of a sales activity.

[0733] The user registers the CRM system as a business program for "sales activities." The user registers three steps as "business procedures": "enter customer information," "contract completion," and "follow-up."

[0734] When a user starts entering customer information into the CRM system, the device monitors the task in real time in the background and automatically records the start and end times.The emotion recognition engine analyzes the user's facial expressions through the camera and the tone of voice through the microphone, recording emotional data in real time.

[0735] The device sends all recorded data to a server, which analyzes it and generates a detailed report. For example, the report includes information such as the time required to enter customer information, the time required to complete a contract, the number of transactions, and the user's emotional state during each step of the process. Users can check the report on a dashboard to grasp the progress of their work and their own emotional state at a glance. They can also identify areas for improvement and efficiency, which can be used to improve the work environment.

[0736] Prompt Sentence Examples

[0737] "This system includes the initial setup, work monitoring, and report generation phases for automatically recording PC operations and generating detailed reports and emotion data. An example of a specific business flow is the progress management of sales activities. Using this as an example, please explain the initial setup phase, work monitoring phase, and report generation phase."

[0738] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0739] Step 1:

[0740] The user starts the business program and performs the initial settings.

[0741] Input: Business programs (e.g., business management software), user business procedure data

[0742] How it works: A user launches a business program on their PC and uses the "Add Business Program" and "Add Business Procedure" options on the "Initial Setup" screen. They enter the business program's name, usage instructions, and related files and links, and the business procedure's step name, summary, and required files and links.

[0743] Output: Business programs and business procedure data are saved on the terminal.

[0744] Step 2:

[0745] The terminal transmits the initial setting data to the server.

[0746] Input: Data entered by the user for business programs and procedures

[0747] Operation: At regular intervals (e.g., after each change is completed), the device sends initialization data to the server. This data includes details about business programs and procedures.

[0748] Output: Based on the initial setting data received by the server, the AI ​​model learns the business program and business procedures.

[0749] Step 3:

[0750] A user starts a task using a specific task program.

[0751] Input: Business programs, user operations

[0752] How it works: When a user opens a CRM system or spreadsheet and starts working, the monitoring software automatically detects the user's actions in the background and begins monitoring.

[0753] Output: The terminal detects the start of the user's operation and prepares for recording.

[0754] Step 4:

[0755] The device records user operations in real time.

[0756] Input: User operation data (e.g. keyboard input, mouse clicks, etc.)

[0757] Operation: The terminal records user operations in real time, automatically recording the start and end times of operations in a log, and also records work details and the number of transactions based on business procedures.

[0758] Output: Operation log (start time, end time, work details, number of processed items) is saved on the terminal.

[0759] Step 5:

[0760] The device utilizes an emotion recognition engine to monitor and record the user's emotional state in real time.

[0761] Input: User's facial expression data (camera), voice data (microphone)

[0762] How it works: The device uses an emotion recognition engine to analyze the user's facial expressions through the camera and the tone of voice through the microphone, determining and recording the user's emotional state (e.g., satisfaction, stress, excitement, etc.) in real time.

[0763] Output: Emotion data is saved on the device along with the operation log.

[0764] Step 6:

[0765] The terminal transmits the recorded data to the server.

[0766] Input: Operation log, emotion data

[0767] How it works: The device sends all recorded data to the server at regular intervals (for example, every hour or every day). The transmission protocol is HTTP or WebSocket.

[0768] Output: Data is stored on the server.

[0769] Step 7:

[0770] The server analyzes the received data and generates a detailed report.

[0771] Input: Operation log and emotion data sent from the device

[0772] Operation: The server compiles the start time, end time, total man-hours, number of transactions, and user emotional state of each process based on the information stored in the database. Based on the analysis results, graphs and tables are generated and reports are automatically created.

[0773] Output: A detailed report is generated and saved on the server.

[0774] Step 8:

[0775] A user views and downloads a report from the dashboard.

[0776] Input: Generated report

[0777] How it works: A user accesses the dashboard using a web browser, views the generated reports, and optionally downloads them in formats such as Excel or PDF.

[0778] Output: Users can view the report to understand their work progress and their own emotional state. They can also download and save the report.

[0779] (Application example 2)

[0780] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0781] Conventional self-driving vehicles record driving conditions and operations, but lack a means to monitor passengers' emotional states. As a result, it is not possible to grasp passengers' real-time emotional changes, making it difficult to evaluate safety and comfort during operation. In addition, improving driving algorithms based on emotional data has been difficult, making it a challenge to build a more user-friendly system.

[0782] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for learning operation tools and operation flows, means for monitoring user operations and recording the start and end times of tasks, means for recognizing and recording emotions in real time, and means for transmitting the recorded data to the server, analyzing the received data, and generating a report. This makes it possible to monitor the emotional states of passengers in real time and manage them together with operation data.

[0783] - "Operational Tools" refers to software and hardware that a user uses to perform a specific task or operation.

[0784] An "operational flow" is a series of procedures or steps required to complete a particular task or work.

[0785] "Means for recognizing emotions" refers to technology that uses cameras and voice input devices to detect and analyze a user's emotional state in real time.

[0786] "Means for recording the start and end times of work" refers to a system that automatically records the time when a user starts and finishes an operation.

[0787] "Means for transmitting recorded data to a server" refers to a mechanism for transmitting recorded data at specific intervals to a server via a network.

[0788] "Means for analyzing received data and generating reports" refers to the algorithms that the server uses to analyze the data received and create detailed reports.

[0789] "Means for recording work details and number of processed items" refers to a system that records the specific operations performed by the user and the number of processed items.

[0790] "Total man-hours" refers to the total time and effort required for a specific task or operation.

[0791] This invention is a system that allows users to register operation tools and operation flows, and then monitors and records the operating status of autonomous vehicles and the emotional state of passengers in detail, and generates reports based on that information.

[0792] Initial Setup Phase

[0793] Users register the operation tools and operation flows for the autonomous vehicle through a smartphone application. Specifically, the operation tools link with the autonomous vehicle's system and register operation flows such as "highway driving" and "parking assist." This data is sent to a cloud server, which uses an AI model to learn these flows and tools.

[0794] Work monitoring phase

[0795] At the start of operation, a terminal (smartphone or on-board computer) monitors the autonomous vehicle's operation and surrounding conditions in real time. The terminal records the start and end times of each operation during operation, as well as the details of the operation. In addition, using the terminal's built-in camera and voice input device, the emotion engine recognizes the passenger's emotional state in real time and records the emotion data. The emotion engine uses face recognition technology using OpenCV and emotion analysis technology using dlib.

[0796] Report Generation Phase

[0797] The recorded data is periodically sent to a cloud server, which analyzes the received data and generates a detailed report. The report includes the start and end times of operations, details of each operation, passenger emotional state, number of transactions, and total man-hours. This allows feedback based on passenger emotions as well as operational status. The generated report can be viewed by managers on the dashboard and can also be downloaded as needed.

[0798] Specific examples

[0799] For example, while an autonomous vehicle is driving through a city, the terminal initiates the "urban driving" operation flow and records the operation details for each step. At the same time, cameras and voice input devices are used to monitor the passengers' emotional state in real time, collecting emotional data such as "relief" and "anxiety." After the trip is completed, all recorded data is sent to a cloud server, and a detailed report is generated. This report can provide insights, such as passengers often feeling anxious in certain sections, which can be used to improve the autonomous driving algorithm.

[0800] Prompt Sentence Examples

[0801] "How does an application that monitors the emotional state of passengers in a self-driving vehicle in real time work?"

[0802] "Describe a system that uses an emotion engine to detect passenger anxiety and generate a report along with operational data."

[0803] In this way, the present invention can monitor and record the driving conditions of autonomous vehicles and the emotional state of passengers in detail, and generate reports based on the data, which can then be used to evaluate and improve safety and comfort.

[0804] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0805] Step 1:

[0806] The user registers the operation tools and operation flows. Specifically, the user launches a smartphone application and registers the operation tools (e.g., vehicle control interface) and operation flows (e.g., "highway driving" and "parking assist") of the autonomous vehicle. The registered information is sent to the cloud server. The input is data related to the user's operation tools and operation flows, and the output is configuration data stored on the cloud server.

[0807] Step 2:

[0808] The server learns the operation tools and operation flows. The cloud server learns these flows using an AI model based on the registered operation tools and operation flows. The input is the operation tool and operation flow data sent to the cloud server, and the output is a trained AI model.

[0809] Step 3:

[0810] The terminal monitors the user's operations and records the start and end times of the operations. Once the autonomous vehicle begins operation, the terminal (smartphone or on-board computer) records the start and end times of operations during operation in real time. The input is timestamp data regarding the user's operations, and the output is log data including the start and end times.

[0811] Step 4:

[0812] The device recognizes emotions in real time and records the emotional state. The emotion engine recognizes the passenger's emotional state in real time using the device's built-in camera and audio input device. The emotion engine uses OpenCV and dlib for facial recognition and emotion analysis. The inputs are camera footage and audio data, and the output is recognized emotion data.

[0813] Step 5:

[0814] The recorded data is sent to the server. The device sends all recorded data to the cloud server at regular intervals (for example, every hour). The inputs are operation log data and emotion data, and the output is the data transferred to the cloud server.

[0815] Step 6:

[0816] The server analyzes the received data and generates a report. The cloud server analyzes the received data and generates a detailed report of the operation. The report includes the operation start time, end time, operation content, passenger emotional state, number of transactions, total labor hours, etc. The input is the operation log data and emotional data stored on the server, and the output is a detailed report.

[0817] Step 7:

[0818] Users can view and download detailed reports. Users can view the generated reports from the management screen (dashboard) and download them as needed. The input is the report data stored on the cloud server, and the output is a report in a format that users can view.

[0819] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0820] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0821] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0822] [Third embodiment]

[0823] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0824] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0825] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0826] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0827] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0828] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0829] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0830] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0831] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0832] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0833] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0834] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0835] The present invention relates to a system that automatically records operations on a PC and automatically generates a detailed report including start and end timestamps and the number of transactions. Specific embodiments of the present invention will be described below.

[0836] Initial Setup Phase

[0837] 1. The user registers the business tools and workflow

[0838] A user launches a specific piece of software on their PC, which has an "initial setup" screen with options to "add business tools" and "add business flows."

[0839] Users register the names of business tools (e.g., spreadsheet software, word processor, CRM system) and how to use them, and register business flows (e.g., "enter customer information," "contract completion," "follow-up," etc.).

[0840] The registered data is sent to a server, which then trains the AI ​​to learn these business tools and workflows.

[0841] Work monitoring phase

[0842] 1. The user starts work

[0843] A user starts working on a PC using a specific work tool. The monitoring software in the background begins monitoring the user's actions in real time.

[0844] 2. The device records your work

[0845] The device automatically records the start and end times of tasks based on a specific workflow, and also records the details of user operations and the number of transactions.

[0846] Report Generation Phase

[0847] 1. The device sends data to the server

[0848] The terminal sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[0849] 2. The server generates the report

[0850] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, and number of transactions for each process.

[0851] The final report is made available to users for viewing via the dashboard and is also provided in downloadable formats (e.g. Excel, PDF).

[0852] Specific examples

[0853] Example: When a user manages the progress of sales activities

[0854] Initial Setup Phase

[0855] The user registers a CRM (Customer Relationship Management) system as a business tool for "sales activities." The user registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[0856] Work monitoring phase

[0857] A user uses the CRM system to perform each step of the process, specifically entering customer data and then completing the contract process to close the sale.

[0858] The terminal records the start and end times of each process, as well as the work content (e.g., number of customer data items entered) in real time.

[0859] Report Generation Phase

[0860] The device sends the recorded data to a server, which analyzes it and generates detailed reports for each transaction, including the time it took to enter customer information, the time it took to complete a contract, and the number of transactions processed.

[0861] Users can view these reports on their dashboard and download them as needed.

[0862] This allows users to eliminate the need for manual recording and efficiently and accurately grasp the progress of their work.

[0863] The processing flow will be explained below.

[0864] Initial Setup Phase

[0865] Step 1:

[0866] A user launches a specific piece of software on their PC. The software's "Initial Setup" screen appears, offering the user the options to "Add Business Tools" and "Add Business Flows."

[0867] Step 2:

[0868] The user clicks the "Add Business Tool" button, enters the name of the tool to be used (e.g., spreadsheet software, word processor, CRM system), and presses the save button to register the tool.

[0869] Step 3:

[0870] The user clicks the "Add Business Flow" button and enters the names of each step of the business (e.g., "Enter Customer Information," "Complete Contract," "Follow-up") in order. Once the input is complete, the user clicks the save button to register the business flow.

[0871] Step 4:

[0872] The registered business tool and flow data is sent to the server, which receives this data and trains the AI.

[0873] Work monitoring phase

[0874] Step 5:

[0875] A user starts working using a specific work tool on their PC. The monitoring software starts up in the background and begins monitoring the user's operations in real time.

[0876] Step 6:

[0877] The device detects when an operation is started within a specific business tool and automatically records the start time of the operation (e.g., October 1, 2023, 10:00 AM).

[0878] Step 7:

[0879] The user proceeds with the work according to the business flow (e.g., "Enter customer information" and then proceed to "Complete contract").

[0880] Step 8:

[0881] The terminal monitors user operations in real time and records work details (operations and number of transactions) based on the business flow. If necessary, the number of transactions is also counted.

[0882] Step 9:

[0883] The user completes all tasks and closes the work tool. The device automatically records the end time of the task (e.g., October 1, 2023, 12:00 PM).

[0884] Step 10:

[0885] The device temporarily stores the recorded data in local storage.

[0886] Report Generation Phase

[0887] Step 11:

[0888] The device sends the recorded data to the server at regular intervals (e.g., every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[0889] Step 12:

[0890] The server analyzes the data it receives, organizes the data by business process, and calculates the time and totals the number of processed items.

[0891] Step 13:

[0892] The server generates a report based on the aggregation results, which includes the start time, end time, total man-hours, number of processed items, etc. for each business process.

[0893] Step 14:

[0894] The server displays the generated report on a dashboard for the user to view and download.

[0895] Example 1

[0896] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0897] Conventional work management systems require users to manually record work, which entails labor and the risk of errors. In addition, it is difficult to grasp detailed work data and progress status in real time, making it difficult to improve work efficiency and accurately manage progress.

[0898] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0899] In this invention, the server includes: a means for a user to register work tools and work procedures; a means for the server to learn the work tools and work procedures; a means for a terminal to monitor user operations and record the start and end times of work; a means for the terminal to record the user's operation details and the number of transactions; a means for the server to transmit the recorded data to the server; and a means for the server to analyze the received data and generate a report including the start time, end time, operation details, and the number of transactions. This eliminates the need for manual recording by the user, enabling efficient and accurate understanding of the progress of work in real time.

[0900] "User" refers to an entity that registers business tools and business procedures and performs business.

[0901] "Business tools" refers collectively to various software and hardware that users use to carry out their work.

[0902] "Business procedure" refers to a step-by-step workflow when a user performs a business operation.

[0903] A "means" refers to a piece of equipment or software configured to perform a particular function.

[0904] "Server" refers to the central computing unit that receives and analyzes data sent by the User and provides the User with the necessary information.

[0905] A "terminal" is a device that allows a user to perform operations and has the function of recording and transmitting user operations.

[0906] "Learning a business" refers to the process by which the server analyzes business information provided by the user, understands its contents, and memorizes them.

[0907] "Monitoring operations" refers to the process of monitoring users' PC operations in real time and recording necessary data.

[0908] "Start time" refers to the time when a particular task or operation begins.

[0909] "Finish time" refers to the time when a particular task or activity is completed.

[0910] "Number of processed items" refers to the number of items or data processed by a user in a specific business process.

[0911] "Sending data" refers to the process in which the terminal sends recorded data to the server.

[0912] "Analyzing the data" refers to the process by which the server scrutinizes the data it receives and extracts meaningful information.

[0913] A "report" is a document or file generated based on data analyzed by the server, and is a tool that allows users to check the progress and results of their work.

[0914] This invention is a system that automatically records the progress of work and generates detailed reports based on the results. This system allows users to register work tools and work procedures, terminals to monitor user operations, and a server to analyze the data and generate reports, enabling efficient and accurate progress management of work.

[0915] The implementation of the system includes the following specific steps:

[0916] First, the user launches the dedicated software on their PC. This software has an "Initial Setup" screen that includes options for "Add Business Tools" and "Add Business Flow." The user uses these options to register business tools (e.g., Microsoft Excel, Google Docs, CRM system) and business procedures (e.g., "Enter Customer Information," "Complete Contract," "Follow-up"). The registered data is sent to the server, which then trains the AI ​​model with this business information. Specifically, the registered data is added to the database and the AI ​​model is trained.

[0917] Next, the user begins work using a specific business tool on their PC. The monitoring software runs in the background, monitoring the user's actions in real time. For example, when a user enters customer data into a CRM system, their input actions and clicks are monitored. The device automatically records the start and end times of each task based on the work procedure, as well as detailed records of the operations and the number of transactions.

[0918] The recorded data is sent to the server at set intervals (for example, every hour). The terminal adjusts the timing of this data transmission and sends the data to the server. The server analyzes the received data and generates a detailed report of all business processes. The report includes the start time, end time, operation details, and number of processed items. The generated report can be viewed by the user from the management screen (dashboard) and can also be downloaded in Excel or PDF format.

[0919] As a concrete example, consider the case where a user manages the progress of sales activities. The user registers a CRM system as a business tool for "sales activities" and registers three steps as a "workflow": "enter customer information," "contract completion," and "follow-up." Next, the user actually uses the CRM system to enter customer data and go through the procedures for contract completion, and all of these operations are recorded in real time. Finally, the server generates a detailed report based on the recorded data, which the user can view on a dashboard.

[0920] Examples of prompt sentences include the following:

[0921] "Generate a report of business records in sales management"

[0922] "Please tell me the start and end times of the customer information entry process and the number of transactions processed."

[0923] This system allows users to eliminate manual recording work and efficiently and accurately grasp the progress of their work.

[0924] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0925] Step 1:

[0926] The user registers business tools and business procedures.

[0927] Input: The user accesses the initial setting screen and inputs the names of the business tools, how to use them, and business procedures.

[0928] Data processing: The entered names and usage methods of business tools and business procedures are converted into JSON format.

[0929] Output: Sends JSON formatted data to the server.

[0930] Specific operation: The user selects the "Add business tool" and "Add business flow" options, enters specific information, and clicks the "Submit" button.

[0931] Step 2:

[0932] The server learns the business tools and procedures.

[0933] Input: The JSON formatted business tools and procedures data submitted in Step 1.

[0934] Data processing: Store the incoming data in a database and build a training dataset to train the generative AI model.

[0935] Output: A trained AI model that understands business tools and procedures.

[0936] Specific operation: The server stores the received data in a database and executes the training process for the AI ​​model.

[0937] Step 3:

[0938] The user begins work.

[0939] Input: A user starts a business tool (e.g., a CRM system) and starts work according to business procedures.

[0940] Data processing: Operation logs of business tools are recorded using monitoring software.

[0941] Output: Data recorded as an operation log.

[0942] What happens: When a user starts entering customer information into the CRM system, the activity is recorded in real time by the monitoring software.

[0943] Step 4:

[0944] The device records the work.

[0945] Input: User operation logs captured by monitoring software.

[0946] Data processing: Extract the start time, end time, operation details, and number of processed items from the operation log.

[0947] Output: Recorded data including start time, end time, operation details, and number of transactions.

[0948] Specific operations: The device automatically records details such as the start time of user operations, input content, click operations, and end time.

[0949] Step 5:

[0950] The device sends the data to the server.

[0951] Input: Recorded data (start time, end time, operation details, number of transactions).

[0952] Data processing: Converting recorded data into an appropriate format (e.g., CSV or JSON).

[0953] Output: Send the format-converted recording data to the server.

[0954] Specific operation: The terminal collects recorded data every hour, converts it into an appropriate format, and sends it to the server.

[0955] Step 6:

[0956] The server analyzes the received data.

[0957] Input: Recorded data sent from the terminal.

[0958] Data processing: Analyze received data and extract detailed information about each business process.

[0959] Output: Parsed data.

[0960] Specific operation: The server stores the received data in a database and analyzes the data using an AI model.

[0961] Step 7:

[0962] The server generates the report.

[0963] Input: Parsed data.

[0964] Data processing: Based on the analysis data, a report is generated that includes the start time, end time, operation details, and number of transactions.

[0965] Output: The generated report.

[0966] Specific operation: The server creates a report based on the analysis results and allows the user to view it from a dashboard.

[0967] This eliminates the need for manual recording by users, allowing them to efficiently and accurately grasp the progress of their work in real time.

[0968] (Application example 1)

[0969] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0970] Conventional business management systems require users to manually record the start and end times of tasks, work details, and the number of transactions, which increases the likelihood of human error and time waste. Additionally, there is a lack of a way to record detailed operation logs for machines and robots used in factories and analyze the results, making it difficult to obtain specific data to improve overall business efficiency.

[0971] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0972] In this invention, the server includes: a means for a user to register business tools and business flows; a means for the server to learn the business tools and business flows; a means for a terminal to monitor user operations and record the start and end times of work; a means for transmitting the recorded data to the server; a means for the server to analyze the received data and generate a report; and a means for recording operation logs of factory machines or robots and generating detailed reports. This eliminates the need for manual recording by the user, enabling efficient and accurate understanding of business progress. By automatically recording these processes based on the occurrence of events and generating detailed reports, business management and factory operations can be optimized.

[0973] The "means for users to register business tools and business flows" is an interface that allows users to register the business software they use and a series of operating procedures for it.

[0974] The "means for the server to learn business tools and business flows" is a system that enables the server to understand and store business software registered by the user and its operating procedures.

[0975] "Means for a terminal to monitor user operations and record the start and end times of tasks" refers to software or hardware that monitors in real time the various operations a user performs on a PC and automatically records the start and end times of those operations.

[0976] The "means for transmitting recorded data to a server" is a communication module for transmitting operation data recorded on a user's terminal to a server periodically or in real time.

[0977] "Means for the server to analyze received data and generate reports" refers to a system in which the server processes and analyzes data received from user terminals, and automatically generates reports based on the results to evaluate the progress and efficiency of business operations.

[0978] "Means for recording operation logs of factory machines or robots and generating detailed reports" refers to a system that records in detail the operation history and work content of various machines and robots used in the factory, and generates detailed business reports based on that data.

[0979] "Business tools" refers to software and hardware that users use to carry out their daily work.

[0980] A "business flow" refers to a series of procedures or operational steps for carrying out a specific business operation.

[0981] "Work details" refers to information including the specific content and procedures of each work.

[0982] "Number of processed items" refers to the number of data or items processed in a specific task or work step.

[0983] This invention describes a specific system that records detailed operation logs of factory robots and automatically generates reports that evaluate the progress and efficiency of work based on the logs. An embodiment of this system will be described in detail below.

[0984] Initial Setup Phase

[0985] 1. The user registers the business tools and workflow.

[0986] First, the user launches the dedicated software on their PC. This software has an "Initial Setup" screen, which includes options for "Add Business Tools" and "Add Business Flows."

[0987] Users register business tools (e.g., spreadsheets, word processors, factory control software) and how to use them, and then register business flows (e.g., "welding operations," "parts assembly," "quality inspection," etc.).

[0988] The registered data is sent to the server, which then trains the AI ​​model on business tools and workflows.

[0989] Work monitoring phase

[0990] 2. The user begins work

[0991] A user begins work using a specific business tool on a factory robot or PC. In the background, monitoring software begins monitoring the user and robot operations in real time.

[0992] 3. The device records your work

[0993] Based on the workflow registered by the user, the device automatically records the start and end times of tasks, as well as details of operations and the number of transactions.

[0994] Report Generation Phase

[0995] 4. The device sends the data to the server

[0996] The terminal sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[0997] 5. The server generates the report

[0998] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, and number of transactions for each process.

[0999] The reports generated by the server are made available to users for viewing via the dashboard and are also provided in downloadable formats (e.g. Excel, PDF) if required.

[1000] Hardware and software used

[1001] Dedicated software: Runs on a PC or tablet device and accepts user input.

[1002] Monitoring software: Real-time monitoring of user actions and robot behavior.

[1003] Server: Analyzes the received data and generates reports. Performs data learning using AI models.

[1004] Communication module: Sends data from the terminal to the server.

[1005] Specific examples

[1006] If the user operates a robot in a factory:

[1007] Initial setup phase: The user registers the control software for "welding operations" and registers the steps of "part setup," "welding start," and "welding end" as the "business flow."

[1008] Work monitoring phase: The user performs the work according to the registered flow, and the device records the operation details in real time.

[1009] Report generation phase: The server analyzes the recorded data and generates detailed reports, which users can view on their dashboard and download as needed.

[1010] Example prompts for generative AI models

[1011] We would like you to design a system that automatically records the start time, end time, and work details of each operation performed by a factory robot, and generates a detailed report. The operations to be recorded include the specific work process name, start time, end time, and details (e.g., number of processed items). The operation log should be saved in JSON format and output as a report.

[1012] In this way, users can eliminate the need for manual recording and efficiently and accurately grasp the progress of their work, thereby optimizing work management and factory operations.

[1013] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1014] Step 1:

[1015] The user registers business tools and workflows. They launch specific software on their PC and enter the information required to "add business tools" and "add workflows" into the interface. The entered data is sent to the server, and the registration of the business tools and workflows is completed.

[1016] Step 2:

[1017] The server learns the business tools and workflow. Specifically, it trains the AI ​​model based on the information it receives, thereby learning the patterns of the business tools and workflow. The input data is the business tools, how to use them, and the workflow procedures, and the output is the trained AI model.

[1018] Step 3:

[1019] The user begins work. They begin using a specific work tool on their PC or on the control panel of a factory robot. The terminal begins monitoring the operation in real time in the background. The input data is the user's operation, and the output is the start of recording the operation log.

[1020] Step 4:

[1021] The terminal records the start and end times of work. It automatically records the start and end times of operations performed by users according to a specific business flow. The input data is the timing and content of the operation, and the output is timestamps of the start and end times. The operation content is also recorded in detail based on a specific business flow.

[1022] Step 5:

[1023] The terminal sends the recorded data to the server at regular intervals. As the user continues to work, the terminal collects data such as operation details and number of processes, and sends this data to the server at specified intervals. The input data is the operation log recorded on the terminal, and the output is the data sent to the server.

[1024] Step 6:

[1025] The server analyzes the received data and generates a report. The server analyzes the received operation log data and automatically generates a detailed report including the start time, end time, total man-hours, and number of processed items for each business process. The input data is the operation log sent to the server, and the output is the analyzed report.

[1026] Step 7:

[1027] The server generates reports that users can view and download. The server displays the generated reports on a dashboard so users can review the reports. The reports can also be downloaded in Excel or PDF format. The input data is the server-generated reports, and the output is a user-accessible dashboard.

[1028] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1029] The present invention combines a system that automatically records PC operations and automatically generates detailed reports including start and end timestamps and the number of transactions, with an emotion engine that recognizes the user's emotions. Specific embodiments of the present invention are described below.

[1030] Initial Setup Phase

[1031] 1. The user registers the business tools and workflow

[1032] A user launches a specific piece of software on their PC, which has an "initial setup" screen that provides the user with the options to "add business tools" and "add business flows."

[1033] Users register the names of business tools (e.g., spreadsheet software, word processor, CRM system) and how to use them, and register business flows (e.g., "enter customer information," "contract completion," "follow-up," etc.).

[1034] The registered data is sent to a server, which then trains the AI ​​to learn these business tools and processes.

[1035] Work monitoring phase

[1036] 1. The user starts work

[1037] A user starts working on a PC using a specific work tool. The monitoring software in the background begins monitoring the user's actions in real time.

[1038] 2. The device records your work

[1039] The device automatically records the start and end times of tasks based on a specific workflow, and also records the details of user operations and the number of transactions.

[1040] 3. The device recognizes the user's emotions

[1041] The device uses an emotion engine to monitor the user's emotional state in real time through a camera or voice input device, and the recognized emotional data is recorded along with the work record.

[1042] Report Generation Phase

[1043] 1. The device sends data to the server

[1044] The device sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start and end times of each business process, work details, number of transactions, and emotion data.

[1045] 2. The server generates the report

[1046] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, number of transactions, and the user's emotional state for each process.

[1047] The final report is made available to users for viewing via the dashboard and is also provided in downloadable formats (e.g. Excel, PDF).

[1048] Specific examples

[1049] Example: A user manages the progress and emotional state of a sales activity.

[1050] Initial Setup Phase

[1051] The user registers a CRM (Customer Relationship Management) system as a business tool for "sales activities." The user registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[1052] Work monitoring phase

[1053] A user uses the CRM system to perform each step of the process, specifically entering customer data and then completing the contract process to close the sale.

[1054] The terminal records the start and end times of each process, as well as the work content (e.g., number of customer data items entered) in real time.

[1055] The emotion engine monitors the user's facial expression and tone of voice to recognize their emotional state (e.g., stress, satisfaction, etc.) in real time.

[1056] Report Generation Phase

[1057] The device sends the recorded data to a server, which analyzes it and generates a detailed report for each task, including information such as the time it took to enter customer information, the time it took to complete the contract, the number of records processed, and the user's emotional state during each task step.

[1058] Users can view these reports on their dashboard and download them as needed.

[1059] This allows users to eliminate the need for manual recording and efficiently and accurately grasp work progress and emotional states. Furthermore, by receiving feedback based on emotional data, it is possible to quickly identify areas for improvement in work, contributing to an improved working environment.

[1060] The processing flow will be explained below.

[1061] Initial Setup Phase

[1062] Step 1:

[1063] A user launches a specific piece of software on their PC. The software's "Initial Setup" screen appears, offering the user the options to "Add Business Tools" and "Add Business Flows."

[1064] Step 2:

[1065] The user clicks the "Add Business Tool" button, enters the name of the tool to be used (e.g., spreadsheet software, word processor, CRM system), and presses the save button to register the tool.

[1066] Step 3:

[1067] The user clicks the "Add Business Flow" button and enters the names of each step of the business (e.g., "Enter Customer Information," "Complete Contract," "Follow-up") in order. Once the input is complete, the user clicks the save button to register the business flow.

[1068] Step 4:

[1069] The registered business tool and flow data is sent to the server, which receives this data and trains the AI.

[1070] Work monitoring phase

[1071] Step 5:

[1072] A user starts working using a specific work tool on their PC. The monitoring software starts up in the background and begins monitoring the user's operations in real time.

[1073] Step 6:

[1074] The device detects when an operation is started within a specific business tool and automatically records the start time of the operation (e.g., October 1, 2023, 10:00 AM).

[1075] Step 7:

[1076] The user proceeds with the work according to the business flow (e.g., "Enter customer information" and then proceed to "Complete contract").

[1077] Step 8:

[1078] The terminal monitors user operations in real time and records work details (operations and number of transactions) based on the business flow. If necessary, the number of transactions is also counted.

[1079] Step 9:

[1080] The emotion engine recognizes the user's emotional state in real time by using a camera and voice input device to analyze the user's facial expressions and tone of voice.

[1081] Step 10:

[1082] The device records the emotion data recognized by the emotion engine along with the work record. For example, it records the user's emotional state (stress, satisfaction, etc.) while working in chronological order.

[1083] Step 11:

[1084] The user completes all tasks and closes the work tool. The device automatically records the end time of the task (e.g., October 1, 2023, 12:00 PM).

[1085] Step 12:

[1086] The device temporarily stores the recorded data in local storage.

[1087] Report Generation Phase

[1088] Step 13:

[1089] The device sends the recorded data to the server at regular intervals (e.g., every hour or every day). The data includes the start and end times of each business process, work details, number of transactions, and emotion data.

[1090] Step 14:

[1091] The server analyzes the data it receives, organizes the data by business process, and calculates the time and totals the number of processed items.

[1092] Step 15:

[1093] The server generates a report based on the results of the aggregation, which includes the start time, end time, total man-hours, number of transactions, and the user's emotional state for each business process.

[1094] Step 16:

[1095] The server displays the generated report on a dashboard for the user to view and download.

[1096] Specific examples

[1097] Example: A user manages the progress and emotional state of a sales activity.

[1098] Initial Setup Phase

[1099] By performing steps 1 to 4, the user registers the CRM system as a business tool for "sales activities" and registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[1100] Work monitoring phase

[1101] By performing steps 5 to 12, the user performs the tasks of each step using the CRM system. Specifically, this is the process in which the user enters customer data and then completes the contract procedures for closing a sales deal.

[1102] The terminal records the start and end times of each process and the details of the operation (e.g., the number of customer data items entered) in real time, and the emotion engine monitors the user's facial expression and tone of voice to recognize their emotional state (e.g., stress, satisfaction, etc.).

[1103] Report Generation Phase

[1104] By executing steps 13 to 16, the device sends the recorded data to the server, which analyzes it and generates a detailed report for each task, including the time required to enter customer information, the time required to complete the contract, the number of data items processed, and the user's emotional state during each task step.

[1105] Users can view these reports on their dashboard and download them as needed.

[1106] This allows users to eliminate the need for manual recording and efficiently and accurately grasp work progress and emotional states. Furthermore, by receiving feedback based on emotional data, it is possible to quickly identify areas for improvement in work, contributing to an improved working environment.

[1107] Example 2

[1108] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1109] Conventional business record systems require users to manually record their work, which can lead to recording errors and time-waste. Furthermore, there is no way to grasp the user's emotional state, which means that workload and stress management are inadequate. This leads to issues such as reduced work efficiency and a worsening working environment.

[1110] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1111] In this invention, the server includes: a means for a user to register a business program and a business procedure; a means for the server to learn the business program and the business procedure; a means for a terminal to monitor a user's operation and record the start and end times of the work; a means for the terminal to monitor and record the user's emotional state in real time using an emotion recognition engine; a means for transmitting the recorded data to the server; and a means for the server to analyze the received data and generate a report. This eliminates the need for manual recording by the user, allowing the user to accurately grasp the progress of work and the emotional state. Furthermore, providing feedback to the user based on emotional data can be expected to improve work efficiency and the working environment.

[1112] "User" refers to a person who uses the system to perform work.

[1113] "Business programs" refer to software and applications that users use to carry out their work.

[1114] "Business procedures" refer to the processes and steps that users follow when performing their work.

[1115] "Server" refers to a central system that receives data from multiple users and analyzes and processes that data.

[1116] "Terminal" refers to a computer or device that is directly operated by a user and records work progress and emotional data.

[1117] An "emotion recognition engine" refers to technology that uses input devices such as cameras and microphones to monitor and analyze a user's emotional state.

[1118] "Data" includes information such as the user's operation content, the start and end times of the work, the number of processed items, and the emotional state.

[1119] A "report" refers to a document or file that compiles information such as the progress of work or the user's emotional state, generated from data analyzed by the server.

[1120] "Real-time" refers to the results of a process or operation being reflected almost immediately after it is performed.

[1121] "Feedback" refers to evaluations and suggestions for improvement regarding work processes and emotional states provided to users.

[1122] This invention combines a system that automatically records PC operations and automatically generates detailed reports including start and end timestamps and the number of transactions, with an emotion engine that recognizes the user's emotions. Specific embodiments for implementing this invention will be described below.

[1123] Initial Setup Phase

[1124] The user launches specific software on their PC. This software has an "Initial Setup" screen that provides the user with the options to "Add Business Programs" and "Add Business Procedures." The user registers the names of business programs (e.g., spreadsheet software, word processor, CRM system) and how to use them, and also registers business procedures (e.g., "Enter Customer Information," "Complete Contract," "Follow-up," etc.). The registered data is sent from the device to the server, which then trains the AI ​​model on these business programs and procedures.

[1125] Work monitoring phase

[1126] A user starts work using a specific business program on their PC. For example, the user begins entering customer information into a CRM system. At this time, monitoring software running in the background automatically detects the user's actions and begins monitoring. The device records the user's actions in real time and automatically logs the start and end times of tasks based on work procedures. The device also uses an emotion recognition engine to monitor the user's emotional state in real time through input devices such as a camera and microphone, and records the recognized emotional data.

[1127] Report Generation Phase

[1128] The terminals send all recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time and end time of each business process, work details, number of processes, and emotional data. The server analyzes the data received from the terminals and automatically generates detailed reports on all business processes. Based on the information stored in the database, the server compiles the start time and end time of each process, total man-hours, number of processes, and the user's emotional state, and generates graphs and tables. The final report can be viewed by the user from the management screen (dashboard), and a button is provided to allow downloading in formats such as Excel or PDF, if necessary.

[1129] Specific examples

[1130] Example: A user manages the progress and emotional state of a sales activity.

[1131] The user registers the CRM system as a business program for "sales activities." The user registers three steps as "business procedures": "enter customer information," "contract completion," and "follow-up."

[1132] When a user starts entering customer information into the CRM system, the device monitors the task in real time in the background and automatically records the start and end times.The emotion recognition engine analyzes the user's facial expressions through the camera and the tone of voice through the microphone, recording emotional data in real time.

[1133] The device sends all recorded data to a server, which analyzes it and generates a detailed report. For example, the report includes information such as the time required to enter customer information, the time required to complete a contract, the number of transactions, and the user's emotional state during each step of the process. Users can check the report on a dashboard to grasp the progress of their work and their own emotional state at a glance. They can also identify areas for improvement and efficiency, which can be used to improve the work environment.

[1134] Prompt Sentence Examples

[1135] "This system includes the initial setup, work monitoring, and report generation phases for automatically recording PC operations and generating detailed reports and emotion data. An example of a specific business flow is the progress management of sales activities. Using this as an example, please explain the initial setup phase, work monitoring phase, and report generation phase."

[1136] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1137] Step 1:

[1138] The user starts the business program and performs the initial settings.

[1139] Input: Business programs (e.g., business management software), user business procedure data

[1140] How it works: A user launches a business program on their PC and uses the "Add Business Program" and "Add Business Procedure" options on the "Initial Setup" screen. They enter the business program's name, usage instructions, and related files and links, and the business procedure's step name, summary, and required files and links.

[1141] Output: Business programs and business procedure data are saved on the terminal.

[1142] Step 2:

[1143] The terminal transmits the initial setting data to the server.

[1144] Input: Data entered by the user for business programs and procedures

[1145] Operation: At regular intervals (e.g., after each change is completed), the device sends initialization data to the server. This data includes details about business programs and procedures.

[1146] Output: Based on the initial setting data received by the server, the AI ​​model learns the business program and business procedures.

[1147] Step 3:

[1148] A user starts a task using a specific task program.

[1149] Input: Business programs, user operations

[1150] How it works: When a user opens a CRM system or spreadsheet and starts working, the monitoring software automatically detects the user's actions in the background and begins monitoring.

[1151] Output: The terminal detects the start of the user's operation and prepares for recording.

[1152] Step 4:

[1153] The device records user operations in real time.

[1154] Input: User operation data (e.g. keyboard input, mouse clicks, etc.)

[1155] Operation: The terminal records user operations in real time, automatically recording the start and end times of operations in a log, and also records work details and the number of transactions based on business procedures.

[1156] Output: Operation log (start time, end time, work details, number of processed items) is saved on the terminal.

[1157] Step 5:

[1158] The device utilizes an emotion recognition engine to monitor and record the user's emotional state in real time.

[1159] Input: User's facial expression data (camera), voice data (microphone)

[1160] How it works: The device uses an emotion recognition engine to analyze the user's facial expressions through the camera and the tone of voice through the microphone, determining and recording the user's emotional state (e.g., satisfaction, stress, excitement, etc.) in real time.

[1161] Output: Emotion data is saved on the device along with the operation log.

[1162] Step 6:

[1163] The terminal transmits the recorded data to the server.

[1164] Input: Operation log, emotion data

[1165] How it works: The device sends all recorded data to the server at regular intervals (for example, every hour or every day). The transmission protocol is HTTP or WebSocket.

[1166] Output: Data is stored on the server.

[1167] Step 7:

[1168] The server analyzes the received data and generates a detailed report.

[1169] Input: Operation log and emotion data sent from the device

[1170] Operation: The server compiles the start time, end time, total man-hours, number of transactions, and user emotional state of each process based on the information stored in the database. Based on the analysis results, graphs and tables are generated and reports are automatically created.

[1171] Output: A detailed report is generated and saved on the server.

[1172] Step 8:

[1173] A user views and downloads a report from the dashboard.

[1174] Input: Generated report

[1175] How it works: A user accesses the dashboard using a web browser, views the generated reports, and optionally downloads them in formats such as Excel or PDF.

[1176] Output: Users can view the report to understand their work progress and their own emotional state. They can also download and save the report.

[1177] (Application example 2)

[1178] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1179] Conventional self-driving vehicles record driving conditions and operations, but lack a means to monitor passengers' emotional states. As a result, it is not possible to grasp passengers' real-time emotional changes, making it difficult to evaluate safety and comfort during operation. In addition, improving driving algorithms based on emotional data has been difficult, making it a challenge to build a more user-friendly system.

[1180] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for learning operation tools and operation flows, means for monitoring user operations and recording the start and end times of tasks, means for recognizing and recording emotions in real time, and means for transmitting the recorded data to the server, analyzing the received data, and generating a report. This makes it possible to monitor the emotional states of passengers in real time and manage them together with operation data.

[1181] - "Operational Tools" refers to software and hardware that a user uses to perform a specific task or operation.

[1182] An "operational flow" is a series of procedures or steps required to complete a particular task or work.

[1183] "Means for recognizing emotions" refers to technology that uses cameras and voice input devices to detect and analyze a user's emotional state in real time.

[1184] "Means for recording the start and end times of work" refers to a system that automatically records the time when a user starts and finishes an operation.

[1185] "Means for transmitting recorded data to a server" refers to a mechanism for transmitting recorded data at specific intervals to a server via a network.

[1186] "Means for analyzing received data and generating reports" refers to the algorithms that the server uses to analyze the data received and create detailed reports.

[1187] "Means for recording work details and number of processed items" refers to a system that records the specific operations performed by the user and the number of processed items.

[1188] "Total man-hours" refers to the total time and effort required for a specific task or operation.

[1189] This invention is a system that allows users to register operation tools and operation flows, and then monitors and records the operating status of autonomous vehicles and the emotional state of passengers in detail, and generates reports based on that information.

[1190] Initial Setup Phase

[1191] Users register the operation tools and operation flows for the autonomous vehicle through a smartphone application. Specifically, the operation tools link with the autonomous vehicle's system and register operation flows such as "highway driving" and "parking assist." This data is sent to a cloud server, which uses an AI model to learn these flows and tools.

[1192] Work monitoring phase

[1193] At the start of operation, a terminal (smartphone or on-board computer) monitors the autonomous vehicle's operation and surrounding conditions in real time. The terminal records the start and end times of each operation during operation, as well as the details of the operation. In addition, using the terminal's built-in camera and voice input device, the emotion engine recognizes the passenger's emotional state in real time and records the emotion data. The emotion engine uses face recognition technology using OpenCV and emotion analysis technology using dlib.

[1194] Report Generation Phase

[1195] The recorded data is periodically sent to a cloud server, which analyzes the received data and generates a detailed report. The report includes the start and end times of operations, details of each operation, passenger emotional state, number of transactions, and total man-hours. This allows feedback based on passenger emotions as well as operational status. The generated report can be viewed by managers on the dashboard and can also be downloaded as needed.

[1196] Specific examples

[1197] For example, while an autonomous vehicle is driving through a city, the terminal initiates the "urban driving" operation flow and records the operation details for each step. At the same time, cameras and voice input devices are used to monitor the passengers' emotional state in real time, collecting emotional data such as "relief" and "anxiety." After the trip is completed, all recorded data is sent to a cloud server, and a detailed report is generated. This report can provide insights, such as passengers often feeling anxious in certain sections, which can be used to improve the autonomous driving algorithm.

[1198] Prompt Sentence Examples

[1199] "How does an application that monitors the emotional state of passengers in a self-driving vehicle in real time work?"

[1200] "Describe a system that uses an emotion engine to detect passenger anxiety and generate a report along with operational data."

[1201] In this way, the present invention can monitor and record the driving conditions of autonomous vehicles and the emotional state of passengers in detail, and generate reports based on the data, which can then be used to evaluate and improve safety and comfort.

[1202] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1203] Step 1:

[1204] The user registers the operation tools and operation flows. Specifically, the user launches a smartphone application and registers the operation tools (e.g., vehicle control interface) and operation flows (e.g., "highway driving" and "parking assist") of the autonomous vehicle. The registered information is sent to the cloud server. The input is data related to the user's operation tools and operation flows, and the output is configuration data stored on the cloud server.

[1205] Step 2:

[1206] The server learns the operation tools and operation flows. The cloud server learns these flows using an AI model based on the registered operation tools and operation flows. The input is the operation tool and operation flow data sent to the cloud server, and the output is a trained AI model.

[1207] Step 3:

[1208] The terminal monitors the user's operations and records the start and end times of the operations. Once the autonomous vehicle begins operation, the terminal (smartphone or on-board computer) records the start and end times of operations during operation in real time. The input is timestamp data regarding the user's operations, and the output is log data including the start and end times.

[1209] Step 4:

[1210] The device recognizes emotions in real time and records the emotional state. The emotion engine recognizes the passenger's emotional state in real time using the device's built-in camera and audio input device. The emotion engine uses OpenCV and dlib for facial recognition and emotion analysis. The inputs are camera footage and audio data, and the output is recognized emotion data.

[1211] Step 5:

[1212] The recorded data is sent to the server. The device sends all recorded data to the cloud server at regular intervals (for example, every hour). The inputs are operation log data and emotion data, and the output is the data transferred to the cloud server.

[1213] Step 6:

[1214] The server analyzes the received data and generates a report. The cloud server analyzes the received data and generates a detailed report of the operation. The report includes the operation start time, end time, operation content, passenger emotional state, number of transactions, total labor hours, etc. The input is the operation log data and emotional data stored on the server, and the output is a detailed report.

[1215] Step 7:

[1216] Users can view and download detailed reports. Users can view the generated reports from the management screen (dashboard) and download them as needed. The input is the report data stored on the cloud server, and the output is a report in a format that users can view.

[1217] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1218] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1219] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1220] [Fourth embodiment]

[1221] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1222] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1223] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1224] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1225] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1226] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1227] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1228] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1229] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1230] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1231] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1232] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1233] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1234] The present invention relates to a system that automatically records operations on a PC and automatically generates a detailed report including start and end timestamps and the number of transactions. Specific embodiments of the present invention will be described below.

[1235] Initial Setup Phase

[1236] 1. The user registers the business tools and workflow

[1237] A user launches a specific piece of software on their PC, which has an "initial setup" screen with options to "add business tools" and "add business flows."

[1238] Users register the names of business tools (e.g., spreadsheet software, word processor, CRM system) and how to use them, and register business flows (e.g., "enter customer information," "contract completion," "follow-up," etc.).

[1239] The registered data is sent to a server, which then trains the AI ​​to learn these business tools and workflows.

[1240] Work monitoring phase

[1241] 1. The user starts work

[1242] A user starts working on a PC using a specific work tool. The monitoring software in the background begins monitoring the user's actions in real time.

[1243] 2. The device records your work

[1244] The device automatically records the start and end times of tasks based on a specific workflow, and also records the details of user operations and the number of transactions.

[1245] Report Generation Phase

[1246] 1. The device sends data to the server

[1247] The terminal sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[1248] 2. The server generates the report

[1249] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, and number of transactions for each process.

[1250] The final report is made available to users for viewing via the dashboard and is also provided in downloadable formats (e.g. Excel, PDF).

[1251] Specific examples

[1252] Example: When a user manages the progress of sales activities

[1253] Initial Setup Phase

[1254] The user registers a CRM (Customer Relationship Management) system as a business tool for "sales activities." The user registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[1255] Work monitoring phase

[1256] A user uses the CRM system to perform each step of the process, specifically entering customer data and then completing the contract process to close the sale.

[1257] The terminal records the start and end times of each process, as well as the work content (e.g., number of customer data items entered) in real time.

[1258] Report Generation Phase

[1259] The device sends the recorded data to a server, which analyzes it and generates detailed reports for each transaction, including the time it took to enter customer information, the time it took to complete a contract, and the number of transactions processed.

[1260] Users can view these reports on their dashboard and download them as needed.

[1261] This allows users to eliminate the need for manual recording and efficiently and accurately grasp the progress of their work.

[1262] The processing flow will be explained below.

[1263] Initial Setup Phase

[1264] Step 1:

[1265] A user launches a specific piece of software on their PC. The software's "Initial Setup" screen appears, offering the user the options to "Add Business Tools" and "Add Business Flows."

[1266] Step 2:

[1267] The user clicks the "Add Business Tool" button, enters the name of the tool to be used (e.g., spreadsheet software, word processor, CRM system), and presses the save button to register the tool.

[1268] Step 3:

[1269] The user clicks the "Add Business Flow" button and enters the names of each step of the business (e.g., "Enter Customer Information," "Complete Contract," "Follow-up") in order. Once the input is complete, the user clicks the save button to register the business flow.

[1270] Step 4:

[1271] The registered business tool and flow data is sent to the server, which receives this data and trains the AI.

[1272] Work monitoring phase

[1273] Step 5:

[1274] A user starts working using a specific work tool on their PC. The monitoring software starts up in the background and begins monitoring the user's operations in real time.

[1275] Step 6:

[1276] The device detects when an operation is started within a specific business tool and automatically records the start time of the operation (e.g., October 1, 2023, 10:00 AM).

[1277] Step 7:

[1278] The user proceeds with the work according to the business flow (e.g., "Enter customer information" and then proceed to "Complete contract").

[1279] Step 8:

[1280] The terminal monitors user operations in real time and records work details (operations and number of transactions) based on the business flow. If necessary, the number of transactions is also counted.

[1281] Step 9:

[1282] The user completes all tasks and closes the work tool. The device automatically records the end time of the task (e.g., October 1, 2023, 12:00 PM).

[1283] Step 10:

[1284] The device temporarily stores the recorded data in local storage.

[1285] Report Generation Phase

[1286] Step 11:

[1287] The device sends the recorded data to the server at regular intervals (e.g., every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[1288] Step 12:

[1289] The server analyzes the data it receives, organizes the data by business process, and calculates the time and totals the number of processed items.

[1290] Step 13:

[1291] The server generates a report based on the aggregation results, which includes the start time, end time, total man-hours, number of processed items, etc. for each business process.

[1292] Step 14:

[1293] The server displays the generated report on a dashboard for the user to view and download.

[1294] Example 1

[1295] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1296] Conventional work management systems require users to manually record work, which entails labor and the risk of errors. In addition, it is difficult to grasp detailed work data and progress status in real time, making it difficult to improve work efficiency and accurately manage progress.

[1297] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1298] In this invention, the server includes: a means for a user to register work tools and work procedures; a means for the server to learn the work tools and work procedures; a means for a terminal to monitor user operations and record the start and end times of work; a means for the terminal to record the user's operation details and the number of transactions; a means for the server to transmit the recorded data to the server; and a means for the server to analyze the received data and generate a report including the start time, end time, operation details, and the number of transactions. This eliminates the need for manual recording by the user, enabling efficient and accurate understanding of the progress of work in real time.

[1299] "User" refers to an entity that registers business tools and business procedures and performs business.

[1300] "Business tools" refers collectively to various software and hardware that users use to carry out their work.

[1301] "Business procedure" refers to a step-by-step workflow when a user performs a business operation.

[1302] A "means" refers to a piece of equipment or software configured to perform a particular function.

[1303] "Server" refers to the central computing unit that receives and analyzes data sent by the User and provides the User with the necessary information.

[1304] A "terminal" is a device that allows a user to perform operations and has the function of recording and transmitting user operations.

[1305] "Learning a business" refers to the process by which the server analyzes business information provided by the user, understands its contents, and memorizes them.

[1306] "Monitoring operations" refers to the process of monitoring users' PC operations in real time and recording necessary data.

[1307] "Start time" refers to the time when a particular task or operation begins.

[1308] "Finish time" refers to the time when a particular task or activity is completed.

[1309] "Number of processed items" refers to the number of items or data processed by a user in a specific business process.

[1310] "Sending data" refers to the process in which the terminal sends recorded data to the server.

[1311] "Analyzing the data" refers to the process by which the server scrutinizes the data it receives and extracts meaningful information.

[1312] A "report" is a document or file generated based on data analyzed by the server, and is a tool that allows users to check the progress and results of their work.

[1313] This invention is a system that automatically records the progress of work and generates detailed reports based on the results. This system allows users to register work tools and work procedures, terminals to monitor user operations, and a server to analyze the data and generate reports, enabling efficient and accurate progress management of work.

[1314] The implementation of the system includes the following specific steps:

[1315] First, the user launches the dedicated software on their PC. This software has an "Initial Setup" screen that includes options for "Add Business Tools" and "Add Business Flow." The user uses these options to register business tools (e.g., Microsoft Excel, Google Docs, CRM system) and business procedures (e.g., "Enter Customer Information," "Complete Contract," "Follow-up"). The registered data is sent to the server, which then trains the AI ​​model with this business information. Specifically, the registered data is added to the database and the AI ​​model is trained.

[1316] Next, the user begins work using a specific business tool on their PC. The monitoring software runs in the background, monitoring the user's actions in real time. For example, when a user enters customer data into a CRM system, their input actions and clicks are monitored. The device automatically records the start and end times of each task based on the work procedure, as well as detailed records of the operations and the number of transactions.

[1317] The recorded data is sent to the server at set intervals (for example, every hour). The terminal adjusts the timing of this data transmission and sends the data to the server. The server analyzes the received data and generates a detailed report of all business processes. The report includes the start time, end time, operation details, and number of processed items. The generated report can be viewed by the user from the management screen (dashboard) and can also be downloaded in Excel or PDF format.

[1318] As a concrete example, consider the case where a user manages the progress of sales activities. The user registers a CRM system as a business tool for "sales activities" and registers three steps as a "workflow": "enter customer information," "contract completion," and "follow-up." Next, the user actually uses the CRM system to enter customer data and go through the procedures for contract completion, and all of these operations are recorded in real time. Finally, the server generates a detailed report based on the recorded data, which the user can view on a dashboard.

[1319] Examples of prompt sentences include the following:

[1320] "Generate a report of business records in sales management"

[1321] "Please tell me the start and end times of the customer information entry process and the number of transactions processed."

[1322] This system allows users to eliminate manual recording work and efficiently and accurately grasp the progress of their work.

[1323] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1324] Step 1:

[1325] The user registers business tools and business procedures.

[1326] Input: The user accesses the initial setting screen and inputs the names of the business tools, how to use them, and business procedures.

[1327] Data processing: The entered names and usage methods of business tools and business procedures are converted into JSON format.

[1328] Output: Sends JSON formatted data to the server.

[1329] Specific operation: The user selects the "Add business tool" and "Add business flow" options, enters specific information, and clicks the "Submit" button.

[1330] Step 2:

[1331] The server learns the business tools and procedures.

[1332] Input: The JSON formatted business tools and procedures data submitted in Step 1.

[1333] Data processing: Store the incoming data in a database and build a training dataset to train the generative AI model.

[1334] Output: A trained AI model that understands business tools and procedures.

[1335] Specific operation: The server stores the received data in a database and executes the training process for the AI ​​model.

[1336] Step 3:

[1337] The user begins work.

[1338] Input: A user starts a business tool (e.g., a CRM system) and starts work according to business procedures.

[1339] Data processing: Operation logs of business tools are recorded using monitoring software.

[1340] Output: Data recorded as an operation log.

[1341] What happens: When a user starts entering customer information into the CRM system, the activity is recorded in real time by the monitoring software.

[1342] Step 4:

[1343] The device records the work.

[1344] Input: User operation logs captured by monitoring software.

[1345] Data processing: Extract the start time, end time, operation details, and number of processed items from the operation log.

[1346] Output: Recorded data including start time, end time, operation details, and number of transactions.

[1347] Specific operations: The device automatically records details such as the start time of user operations, input content, click operations, and end time.

[1348] Step 5:

[1349] The device sends the data to the server.

[1350] Input: Recorded data (start time, end time, operation details, number of transactions).

[1351] Data processing: Converting recorded data into an appropriate format (e.g., CSV or JSON).

[1352] Output: Send the format-converted recording data to the server.

[1353] Specific operation: The terminal collects recorded data every hour, converts it into an appropriate format, and sends it to the server.

[1354] Step 6:

[1355] The server analyzes the received data.

[1356] Input: Recorded data sent from the terminal.

[1357] Data processing: Analyze received data and extract detailed information about each business process.

[1358] Output: Parsed data.

[1359] Specific operation: The server stores the received data in a database and analyzes the data using an AI model.

[1360] Step 7:

[1361] The server generates the report.

[1362] Input: Parsed data.

[1363] Data processing: Based on the analysis data, a report is generated that includes the start time, end time, operation details, and number of transactions.

[1364] Output: The generated report.

[1365] Specific operation: The server creates a report based on the analysis results and allows the user to view it from a dashboard.

[1366] This eliminates the need for manual recording by users, allowing them to efficiently and accurately grasp the progress of their work in real time.

[1367] (Application example 1)

[1368] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1369] Conventional business management systems require users to manually record the start and end times of tasks, work details, and the number of transactions, which increases the likelihood of human error and time waste. Additionally, there is a lack of a way to record detailed operation logs for machines and robots used in factories and analyze the results, making it difficult to obtain specific data to improve overall business efficiency.

[1370] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1371] In this invention, the server includes: a means for a user to register business tools and business flows; a means for the server to learn the business tools and business flows; a means for a terminal to monitor user operations and record the start and end times of work; a means for transmitting the recorded data to the server; a means for the server to analyze the received data and generate a report; and a means for recording operation logs of factory machines or robots and generating detailed reports. This eliminates the need for manual recording by the user, enabling efficient and accurate understanding of business progress. By automatically recording these processes based on the occurrence of events and generating detailed reports, business management and factory operations can be optimized.

[1372] The "means for users to register business tools and business flows" is an interface that allows users to register the business software they use and a series of operating procedures for it.

[1373] The "means for the server to learn business tools and business flows" is a system that enables the server to understand and store business software registered by the user and its operating procedures.

[1374] "Means for a terminal to monitor user operations and record the start and end times of tasks" refers to software or hardware that monitors in real time the various operations a user performs on a PC and automatically records the start and end times of those operations.

[1375] The "means for transmitting recorded data to a server" is a communication module for transmitting operation data recorded on a user's terminal to a server periodically or in real time.

[1376] "Means for the server to analyze received data and generate reports" refers to a system in which the server processes and analyzes data received from user terminals, and automatically generates reports based on the results to evaluate the progress and efficiency of business operations.

[1377] "Means for recording operation logs of factory machines or robots and generating detailed reports" refers to a system that records in detail the operation history and work content of various machines and robots used in the factory, and generates detailed business reports based on that data.

[1378] "Business tools" refers to software and hardware that users use to carry out their daily work.

[1379] A "business flow" refers to a series of procedures or operational steps for carrying out a specific business operation.

[1380] "Work details" refers to information including the specific content and procedures of each work.

[1381] "Number of processed items" refers to the number of data or items processed in a specific task or work step.

[1382] This invention describes a specific system that records detailed operation logs of factory robots and automatically generates reports that evaluate the progress and efficiency of work based on the logs. An embodiment of this system will be described in detail below.

[1383] Initial Setup Phase

[1384] 1. The user registers the business tools and workflow.

[1385] First, the user launches the dedicated software on their PC. This software has an "Initial Setup" screen, which includes options for "Add Business Tools" and "Add Business Flows."

[1386] Users register business tools (e.g., spreadsheets, word processors, factory control software) and how to use them, and then register business flows (e.g., "welding operations," "parts assembly," "quality inspection," etc.).

[1387] The registered data is sent to the server, which then trains the AI ​​model on business tools and workflows.

[1388] Work monitoring phase

[1389] 2. The user begins work

[1390] A user begins work using a specific business tool on a factory robot or PC. In the background, monitoring software begins monitoring the user and robot operations in real time.

[1391] 3. The device records your work

[1392] Based on the workflow registered by the user, the device automatically records the start and end times of tasks, as well as details of operations and the number of transactions.

[1393] Report Generation Phase

[1394] 4. The device sends the data to the server

[1395] The terminal sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time, end time, work details, and number of processed items for each business process.

[1396] 5. The server generates the report

[1397] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, and number of transactions for each process.

[1398] The reports generated by the server are made available to users for viewing via the dashboard and are also provided in downloadable formats (e.g. Excel, PDF) if required.

[1399] Hardware and software used

[1400] Dedicated software: Runs on a PC or tablet device and accepts user input.

[1401] Monitoring software: Real-time monitoring of user actions and robot behavior.

[1402] Server: Analyzes the received data and generates reports. Performs data learning using AI models.

[1403] Communication module: Sends data from the terminal to the server.

[1404] Specific examples

[1405] If the user operates a robot in a factory:

[1406] Initial setup phase: The user registers the control software for "welding operations" and registers the steps of "part setup," "welding start," and "welding end" as the "business flow."

[1407] Work monitoring phase: The user performs the work according to the registered flow, and the device records the operation details in real time.

[1408] Report generation phase: The server analyzes the recorded data and generates detailed reports, which users can view on their dashboard and download as needed.

[1409] Example prompts for generative AI models

[1410] We would like you to design a system that automatically records the start time, end time, and work details of each operation performed by a factory robot, and generates a detailed report. The operations to be recorded include the specific work process name, start time, end time, and details (e.g., number of processed items). The operation log should be saved in JSON format and output as a report.

[1411] In this way, users can eliminate the need for manual recording and efficiently and accurately grasp the progress of their work, thereby optimizing work management and factory operations.

[1412] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1413] Step 1:

[1414] The user registers business tools and workflows. They launch specific software on their PC and enter the information required to "add business tools" and "add workflows" into the interface. The entered data is sent to the server, and the registration of the business tools and workflows is completed.

[1415] Step 2:

[1416] The server learns the business tools and workflow. Specifically, it trains the AI ​​model based on the information it receives, thereby learning the patterns of the business tools and workflow. The input data is the business tools, how to use them, and the workflow procedures, and the output is the trained AI model.

[1417] Step 3:

[1418] The user begins work. They begin using a specific work tool on their PC or on the control panel of a factory robot. The terminal begins monitoring the operation in real time in the background. The input data is the user's operation, and the output is the start of recording the operation log.

[1419] Step 4:

[1420] The terminal records the start and end times of work. It automatically records the start and end times of operations performed by users according to a specific business flow. The input data is the timing and content of the operation, and the output is timestamps of the start and end times. The operation content is also recorded in detail based on a specific business flow.

[1421] Step 5:

[1422] The terminal sends the recorded data to the server at regular intervals. As the user continues to work, the terminal collects data such as operation details and number of processes, and sends this data to the server at specified intervals. The input data is the operation log recorded on the terminal, and the output is the data sent to the server.

[1423] Step 6:

[1424] The server analyzes the received data and generates a report. The server analyzes the received operation log data and automatically generates a detailed report including the start time, end time, total man-hours, and number of processed items for each business process. The input data is the operation log sent to the server, and the output is the analyzed report.

[1425] Step 7:

[1426] The server generates reports that users can view and download. The server displays the generated reports on a dashboard so users can review the reports. The reports can also be downloaded in Excel or PDF format. The input data is the server-generated reports, and the output is a user-accessible dashboard.

[1427] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1428] The present invention combines a system that automatically records PC operations and automatically generates detailed reports including start and end timestamps and the number of transactions, with an emotion engine that recognizes the user's emotions. Specific embodiments of the present invention are described below.

[1429] Initial Setup Phase

[1430] 1. The user registers the business tools and workflow

[1431] A user launches a specific piece of software on their PC, which has an "initial setup" screen that provides the user with the options to "add business tools" and "add business flows."

[1432] Users register the names of business tools (e.g., spreadsheet software, word processor, CRM system) and how to use them, and register business flows (e.g., "enter customer information," "contract completion," "follow-up," etc.).

[1433] The registered data is sent to a server, which then trains the AI ​​to learn these business tools and processes.

[1434] Work monitoring phase

[1435] 1. The user starts work

[1436] A user starts working on a PC using a specific work tool. The monitoring software in the background begins monitoring the user's actions in real time.

[1437] 2. The device records your work

[1438] The device automatically records the start and end times of tasks based on a specific workflow, and also records the details of user operations and the number of transactions.

[1439] 3. The device recognizes the user's emotions

[1440] The device uses an emotion engine to monitor the user's emotional state in real time through a camera or voice input device, and the recognized emotional data is recorded along with the work record.

[1441] Report Generation Phase

[1442] 1. The device sends data to the server

[1443] The device sends the recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start and end times of each business process, work details, number of transactions, and emotion data.

[1444] 2. The server generates the report

[1445] The server analyzes the received data and generates a detailed report on all business processes, including the start time, end time, total effort, number of transactions, and the user's emotional state for each process.

[1446] The final report is made available to users for viewing via the dashboard and is also provided in downloadable formats (e.g. Excel, PDF).

[1447] Specific examples

[1448] Example: A user manages the progress and emotional state of a sales activity.

[1449] Initial Setup Phase

[1450] The user registers a CRM (Customer Relationship Management) system as a business tool for "sales activities." The user registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[1451] Work monitoring phase

[1452] A user uses the CRM system to perform each step of the process, specifically entering customer data and then completing the contract process to close the sale.

[1453] The terminal records the start and end times of each process, as well as the work content (e.g., number of customer data items entered) in real time.

[1454] The emotion engine monitors the user's facial expression and tone of voice to recognize their emotional state (e.g., stress, satisfaction, etc.) in real time.

[1455] Report Generation Phase

[1456] The device sends the recorded data to a server, which analyzes it and generates a detailed report for each task, including information such as the time it took to enter customer information, the time it took to complete the contract, the number of records processed, and the user's emotional state during each task step.

[1457] Users can view these reports on their dashboard and download them as needed.

[1458] This allows users to eliminate the need for manual recording and efficiently and accurately grasp work progress and emotional states. Furthermore, by receiving feedback based on emotional data, it is possible to quickly identify areas for improvement in work, contributing to an improved working environment.

[1459] The processing flow will be explained below.

[1460] Initial Setup Phase

[1461] Step 1:

[1462] A user launches a specific piece of software on their PC. The software's "Initial Setup" screen appears, offering the user the options to "Add Business Tools" and "Add Business Flows."

[1463] Step 2:

[1464] The user clicks the "Add Business Tool" button, enters the name of the tool to be used (e.g., spreadsheet software, word processor, CRM system), and presses the save button to register the tool.

[1465] Step 3:

[1466] The user clicks the "Add Business Flow" button and enters the names of each step of the business (e.g., "Enter Customer Information," "Complete Contract," "Follow-up") in order. Once the input is complete, the user clicks the save button to register the business flow.

[1467] Step 4:

[1468] The registered business tool and flow data is sent to the server, which receives this data and trains the AI.

[1469] Work monitoring phase

[1470] Step 5:

[1471] A user starts working using a specific work tool on their PC. The monitoring software starts up in the background and begins monitoring the user's operations in real time.

[1472] Step 6:

[1473] The device detects when an operation is started within a specific business tool and automatically records the start time of the operation (e.g., October 1, 2023, 10:00 AM).

[1474] Step 7:

[1475] The user proceeds with the work according to the business flow (e.g., "Enter customer information" and then proceed to "Complete contract").

[1476] Step 8:

[1477] The terminal monitors user operations in real time and records work details (operations and number of transactions) based on the business flow. If necessary, the number of transactions is also counted.

[1478] Step 9:

[1479] The emotion engine recognizes the user's emotional state in real time by using a camera and voice input device to analyze the user's facial expressions and tone of voice.

[1480] Step 10:

[1481] The device records the emotion data recognized by the emotion engine along with the work record. For example, it records the user's emotional state (stress, satisfaction, etc.) while working in chronological order.

[1482] Step 11:

[1483] The user completes all tasks and closes the work tool. The device automatically records the end time of the task (e.g., October 1, 2023, 12:00 PM).

[1484] Step 12:

[1485] The device temporarily stores the recorded data in local storage.

[1486] Report Generation Phase

[1487] Step 13:

[1488] The device sends the recorded data to the server at regular intervals (e.g., every hour or every day). The data includes the start and end times of each business process, work details, number of transactions, and emotion data.

[1489] Step 14:

[1490] The server analyzes the data it receives, organizes the data by business process, and calculates the time and totals the number of processed items.

[1491] Step 15:

[1492] The server generates a report based on the results of the aggregation, which includes the start time, end time, total man-hours, number of transactions, and the user's emotional state for each business process.

[1493] Step 16:

[1494] The server displays the generated report on a dashboard for the user to view and download.

[1495] Specific examples

[1496] Example: A user manages the progress and emotional state of a sales activity.

[1497] Initial Setup Phase

[1498] By performing steps 1 to 4, the user registers the CRM system as a business tool for "sales activities" and registers three steps as "business flow": "enter customer information," "contract completion," and "follow-up."

[1499] Work monitoring phase

[1500] By performing steps 5 to 12, the user performs the tasks of each step using the CRM system. Specifically, this is the process in which the user enters customer data and then completes the contract procedures for closing a sales deal.

[1501] The terminal records the start and end times of each process and the details of the operation (e.g., the number of customer data items entered) in real time, and the emotion engine monitors the user's facial expression and tone of voice to recognize their emotional state (e.g., stress, satisfaction, etc.).

[1502] Report Generation Phase

[1503] By executing steps 13 to 16, the device sends the recorded data to the server, which analyzes it and generates a detailed report for each task, including the time required to enter customer information, the time required to complete the contract, the number of data items processed, and the user's emotional state during each task step.

[1504] Users can view these reports on their dashboard and download them as needed.

[1505] This allows users to eliminate the need for manual recording and efficiently and accurately grasp work progress and emotional states. Furthermore, by receiving feedback based on emotional data, it is possible to quickly identify areas for improvement in work, contributing to an improved working environment.

[1506] Example 2

[1507] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1508] Conventional business record systems require users to manually record their work, which can lead to recording errors and time-waste. Furthermore, there is no way to grasp the user's emotional state, which means that workload and stress management are inadequate. This leads to issues such as reduced work efficiency and a worsening working environment.

[1509] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1510] In this invention, the server includes: a means for a user to register a business program and a business procedure; a means for the server to learn the business program and the business procedure; a means for a terminal to monitor a user's operation and record the start and end times of the work; a means for the terminal to monitor and record the user's emotional state in real time using an emotion recognition engine; a means for transmitting the recorded data to the server; and a means for the server to analyze the received data and generate a report. This eliminates the need for manual recording by the user, allowing the user to accurately grasp the progress of work and the emotional state. Furthermore, providing feedback to the user based on emotional data can be expected to improve work efficiency and the working environment.

[1511] "User" refers to a person who uses the system to perform work.

[1512] "Business programs" refer to software and applications that users use to carry out their work.

[1513] "Business procedures" refer to the processes and steps that users follow when performing their work.

[1514] "Server" refers to a central system that receives data from multiple users and analyzes and processes that data.

[1515] "Terminal" refers to a computer or device that is directly operated by a user and records work progress and emotional data.

[1516] An "emotion recognition engine" refers to technology that uses input devices such as cameras and microphones to monitor and analyze a user's emotional state.

[1517] "Data" includes information such as the user's operation content, the start and end times of the work, the number of processed items, and the emotional state.

[1518] A "report" refers to a document or file that compiles information such as the progress of work or the user's emotional state, generated from data analyzed by the server.

[1519] "Real-time" refers to the results of a process or operation being reflected almost immediately after it is performed.

[1520] "Feedback" refers to evaluations and suggestions for improvement regarding work processes and emotional states provided to users.

[1521] This invention combines a system that automatically records PC operations and automatically generates detailed reports including start and end timestamps and the number of transactions, with an emotion engine that recognizes the user's emotions. Specific embodiments for implementing this invention will be described below.

[1522] Initial Setup Phase

[1523] The user launches specific software on their PC. This software has an "Initial Setup" screen that provides the user with the options to "Add Business Programs" and "Add Business Procedures." The user registers the names of business programs (e.g., spreadsheet software, word processor, CRM system) and how to use them, and also registers business procedures (e.g., "Enter Customer Information," "Complete Contract," "Follow-up," etc.). The registered data is sent from the device to the server, which then trains the AI ​​model on these business programs and procedures.

[1524] Work monitoring phase

[1525] A user starts work using a specific business program on their PC. For example, the user begins entering customer information into a CRM system. At this time, monitoring software running in the background automatically detects the user's actions and begins monitoring. The device records the user's actions in real time and automatically logs the start and end times of tasks based on work procedures. The device also uses an emotion recognition engine to monitor the user's emotional state in real time through input devices such as a camera and microphone, and records the recognized emotional data.

[1526] Report Generation Phase

[1527] The terminals send all recorded data to the server at regular intervals (for example, every hour or every day). The data includes the start time and end time of each business process, work details, number of processes, and emotional data. The server analyzes the data received from the terminals and automatically generates detailed reports on all business processes. Based on the information stored in the database, the server compiles the start time and end time of each process, total man-hours, number of processes, and the user's emotional state, and generates graphs and tables. The final report can be viewed by the user from the management screen (dashboard), and a button is provided to allow downloading in formats such as Excel or PDF, if necessary.

[1528] Specific examples

[1529] Example: A user manages the progress and emotional state of a sales activity.

[1530] The user registers the CRM system as a business program for "sales activities." The user registers three steps as "business procedures": "enter customer information," "contract completion," and "follow-up."

[1531] When a user starts entering customer information into the CRM system, the device monitors the task in real time in the background and automatically records the start and end times.The emotion recognition engine analyzes the user's facial expressions through the camera and the tone of voice through the microphone, recording emotional data in real time.

[1532] The device sends all recorded data to a server, which analyzes it and generates a detailed report. For example, the report includes information such as the time required to enter customer information, the time required to complete a contract, the number of transactions, and the user's emotional state during each step of the process. Users can check the report on a dashboard to grasp the progress of their work and their own emotional state at a glance. They can also identify areas for improvement and efficiency, which can be used to improve the work environment.

[1533] Prompt Sentence Examples

[1534] "This system includes the initial setup, work monitoring, and report generation phases for automatically recording PC operations and generating detailed reports and emotion data. An example of a specific business flow is the progress management of sales activities. Using this as an example, please explain the initial setup phase, work monitoring phase, and report generation phase."

[1535] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1536] Step 1:

[1537] The user starts the business program and performs the initial settings.

[1538] Input: Business programs (e.g., business management software), user business procedure data

[1539] How it works: A user launches a business program on their PC and uses the "Add Business Program" and "Add Business Procedure" options on the "Initial Setup" screen. They enter the business program's name, usage instructions, and related files and links, and the business procedure's step name, summary, and required files and links.

[1540] Output: Business programs and business procedure data are saved on the terminal.

[1541] Step 2:

[1542] The terminal transmits the initial setting data to the server.

[1543] Input: Data entered by the user for business programs and procedures

[1544] Operation: At regular intervals (e.g., after each change is completed), the device sends initialization data to the server. This data includes details about business programs and procedures.

[1545] Output: Based on the initial setting data received by the server, the AI ​​model learns the business program and business procedures.

[1546] Step 3:

[1547] A user starts a task using a specific task program.

[1548] Input: Business programs, user operations

[1549] How it works: When a user opens a CRM system or spreadsheet and starts working, the monitoring software automatically detects the user's actions in the background and begins monitoring.

[1550] Output: The terminal detects the start of the user's operation and prepares for recording.

[1551] Step 4:

[1552] The device records user operations in real time.

[1553] Input: User operation data (e.g. keyboard input, mouse clicks, etc.)

[1554] Operation: The terminal records user operations in real time, automatically recording the start and end times of operations in a log, and also records work details and the number of transactions based on business procedures.

[1555] Output: Operation log (start time, end time, work details, number of processed items) is saved on the terminal.

[1556] Step 5:

[1557] The device utilizes an emotion recognition engine to monitor and record the user's emotional state in real time.

[1558] Input: User's facial expression data (camera), voice data (microphone)

[1559] How it works: The device uses an emotion recognition engine to analyze the user's facial expressions through the camera and the tone of voice through the microphone, determining and recording the user's emotional state (e.g., satisfaction, stress, excitement, etc.) in real time.

[1560] Output: Emotion data is saved on the device along with the operation log.

[1561] Step 6:

[1562] The terminal transmits the recorded data to the server.

[1563] Input: Operation log, emotion data

[1564] How it works: The device sends all recorded data to the server at regular intervals (for example, every hour or every day). The transmission protocol is HTTP or WebSocket.

[1565] Output: Data is stored on the server.

[1566] Step 7:

[1567] The server analyzes the received data and generates a detailed report.

[1568] Input: Operation log and emotion data sent from the device

[1569] Operation: The server compiles the start time, end time, total man-hours, number of transactions, and user emotional state of each process based on the information stored in the database. Based on the analysis results, graphs and tables are generated and reports are automatically created.

[1570] Output: A detailed report is generated and saved on the server.

[1571] Step 8:

[1572] A user views and downloads a report from the dashboard.

[1573] Input: Generated report

[1574] How it works: A user accesses the dashboard using a web browser, views the generated reports, and optionally downloads them in formats such as Excel or PDF.

[1575] Output: Users can view the report to understand their work progress and their own emotional state. They can also download and save the report.

[1576] (Application example 2)

[1577] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1578] Conventional self-driving vehicles record driving conditions and operations, but lack a means to monitor passengers' emotional states. As a result, it is not possible to grasp passengers' real-time emotional changes, making it difficult to evaluate safety and comfort during operation. In addition, improving driving algorithms based on emotional data has been difficult, making it a challenge to build a more user-friendly system.

[1579] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for learning operation tools and operation flows, means for monitoring user operations and recording the start and end times of tasks, means for recognizing and recording emotions in real time, and means for transmitting the recorded data to the server, analyzing the received data, and generating a report. This makes it possible to monitor the emotional states of passengers in real time and manage them together with operation data.

[1580] - "Operational Tools" refers to software and hardware that a user uses to perform a specific task or operation.

[1581] An "operational flow" is a series of procedures or steps required to complete a particular task or work.

[1582] "Means for recognizing emotions" refers to technology that uses cameras and voice input devices to detect and analyze a user's emotional state in real time.

[1583] "Means for recording the start and end times of work" refers to a system that automatically records the time when a user starts and finishes an operation.

[1584] "Means for transmitting recorded data to a server" refers to a mechanism for transmitting recorded data at specific intervals to a server via a network.

[1585] "Means for analyzing received data and generating reports" refers to the algorithms that the server uses to analyze the data received and create detailed reports.

[1586] "Means for recording work details and number of processed items" refers to a system that records the specific operations performed by the user and the number of processed items.

[1587] "Total man-hours" refers to the total time and effort required for a specific task or operation.

[1588] This invention is a system that allows users to register operation tools and operation flows, and then monitors and records the operating status of autonomous vehicles and the emotional state of passengers in detail, and generates reports based on that information.

[1589] Initial Setup Phase

[1590] Users register the operation tools and operation flows for the autonomous vehicle through a smartphone application. Specifically, the operation tools link with the autonomous vehicle's system and register operation flows such as "highway driving" and "parking assist." This data is sent to a cloud server, which uses an AI model to learn these flows and tools.

[1591] Work monitoring phase

[1592] At the start of operation, a terminal (smartphone or on-board computer) monitors the autonomous vehicle's operation and surrounding conditions in real time. The terminal records the start and end times of each operation during operation, as well as the details of the operation. In addition, using the terminal's built-in camera and voice input device, the emotion engine recognizes the passenger's emotional state in real time and records the emotion data. The emotion engine uses face recognition technology using OpenCV and emotion analysis technology using dlib.

[1593] Report Generation Phase

[1594] The recorded data is periodically sent to a cloud server, which analyzes the received data and generates a detailed report. The report includes the start and end times of operations, details of each operation, passenger emotional state, number of transactions, and total man-hours. This allows feedback based on passenger emotions as well as operational status. The generated report can be viewed by managers on the dashboard and can also be downloaded as needed.

[1595] Specific examples

[1596] For example, while an autonomous vehicle is driving through a city, the terminal initiates the "urban driving" operation flow and records the operation details for each step. At the same time, cameras and voice input devices are used to monitor the passengers' emotional state in real time, collecting emotional data such as "relief" and "anxiety." After the trip is completed, all recorded data is sent to a cloud server, and a detailed report is generated. This report can provide insights, such as passengers often feeling anxious in certain sections, which can be used to improve the autonomous driving algorithm.

[1597] Prompt Sentence Examples

[1598] "How does an application that monitors the emotional state of passengers in a self-driving vehicle in real time work?"

[1599] "Describe a system that uses an emotion engine to detect passenger anxiety and generate a report along with operational data."

[1600] In this way, the present invention can monitor and record the driving conditions of autonomous vehicles and the emotional state of passengers in detail, and generate reports based on the data, which can then be used to evaluate and improve safety and comfort.

[1601] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1602] Step 1:

[1603] The user registers the operation tools and operation flows. Specifically, the user launches a smartphone application and registers the operation tools (e.g., vehicle control interface) and operation flows (e.g., "highway driving" and "parking assist") of the autonomous vehicle. The registered information is sent to the cloud server. The input is data related to the user's operation tools and operation flows, and the output is configuration data stored on the cloud server.

[1604] Step 2:

[1605] The server learns the operation tools and operation flows. The cloud server learns these flows using an AI model based on the registered operation tools and operation flows. The input is the operation tool and operation flow data sent to the cloud server, and the output is a trained AI model.

[1606] Step 3:

[1607] The terminal monitors the user's operations and records the start and end times of the operations. Once the autonomous vehicle begins operation, the terminal (smartphone or on-board computer) records the start and end times of operations during operation in real time. The input is timestamp data regarding the user's operations, and the output is log data including the start and end times.

[1608] Step 4:

[1609] The device recognizes emotions in real time and records the emotional state. The emotion engine recognizes the passenger's emotional state in real time using the device's built-in camera and audio input device. The emotion engine uses OpenCV and dlib for facial recognition and emotion analysis. The inputs are camera footage and audio data, and the output is recognized emotion data.

[1610] Step 5:

[1611] The recorded data is sent to the server. The device sends all recorded data to the cloud server at regular intervals (for example, every hour). The inputs are operation log data and emotion data, and the output is the data transferred to the cloud server.

[1612] Step 6:

[1613] The server analyzes the received data and generates a report. The cloud server analyzes the received data and generates a detailed report of the operation. The report includes the operation start time, end time, operation content, passenger emotional state, number of transactions, total labor hours, etc. The input is the operation log data and emotional data stored on the server, and the output is a detailed report.

[1614] Step 7:

[1615] Users can view and download detailed reports. Users can view the generated reports from the management screen (dashboard) and download them as needed. The input is the report data stored on the cloud server, and the output is a report in a format that users can view.

[1616] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1617] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1618] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1619] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1620] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1621] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1622] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1623] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1624] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1625] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1626] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1627] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1628] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1629] 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.

[1630] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1631] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1632] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1633] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1634] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1635] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1636] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1637] The following is further disclosed regarding the above embodiment.

[1638] (Claim 1)

[1639] A means for a user to register a business tool and a business flow;

[1640] A server learns the business tools and business flows;

[1641] A means for the terminal to monitor the user's operation and record the start and end times of the work;

[1642] means for transmitting the recorded data to a server;

[1643] means for the server to analyze the received data and generate a report;

[1644] A system including:

[1645] (Claim 2)

[1646] 2. The system according to claim 1, further comprising means for the terminal to monitor the user's operations and record the details of the work and the number of processed items based on the business flow.

[1647] (Claim 3)

[1648] 2. The system of claim 1, further comprising means for the server to analyze the received data and generate a report including a start time, an end time, a total number of man-hours, and a number of transactions.

[1649] "Example 1"

[1650] (Claim 1)

[1651] A means for a user to register business tools and business procedures;

[1652] A means for the server to learn the business tools and business procedures;

[1653] A means for the terminal to monitor the user's operation and record the start and end times of the work;

[1654] A means for the terminal to record the user's operation details and the number of processes;

[1655] means for transmitting the recorded data to a server;

[1656] A means for the server to analyze the received data and generate a report including the start time, end time, operation content, and number of processes;

[1657] A system including:

[1658] (Claim 2)

[1659] 2. The system of claim 1, further comprising means for the terminal to periodically transmit the recorded data to a server.

[1660] (Claim 3)

[1661] The system of claim 1 , further comprising means for the server to analyze the received data and provide a report to a user via a dashboard.

[1662] "Application Example 1"

[1663] (Claim 1)

[1664] A means for a user to register a business tool and a business flow;

[1665] A server learns the business tools and business flows;

[1666] A means for the terminal to monitor the user's operation and record the start and end times of the work;

[1667] means for transmitting the recorded data to a server;

[1668] means for the server to analyze the received data and generate a report;

[1669] A means of recording the operation logs of factory machines or robots and generating detailed reports;

[1670] A system including:

[1671] (Claim 2)

[1672] 2. The system according to claim 1, further comprising means for the terminal to monitor the user's operations and record the details of the work and the number of processed items based on the business flow.

[1673] (Claim 3)

[1674] 2. The system of claim 1, further comprising means for the server to analyze the received data and generate a report including a start time, an end time, a total number of man-hours, and a number of transactions.

[1675] "Example 2: Combining Emotion Engines"

[1676] (Claim 1)

[1677] a means for a user to register business programs and business procedures;

[1678] A server has a means for learning the business program and business procedure;

[1679] A means for the terminal to monitor the user's operation and record the start and end times of the work;

[1680] a means for the terminal to utilize an emotion recognition engine to monitor and record the user's emotional state in real time;

[1681] means for transmitting the recorded data to a server;

[1682] means for the server to analyze the received data and generate a report;

[1683] A system including:

[1684] (Claim 2)

[1685] 2. The system according to claim 1, wherein the terminal further comprises means for monitoring the user's operations and recording the details of the work and the number of transactions based on the business procedure, and means for recording the user's emotional state in real time.

[1686] (Claim 3)

[1687] 10. The system of claim 1, further comprising means for the server to analyze the received data and generate a report including start time, end time, total effort, caseload, and emotional state of the user.

[1688] "Application example 2 when combining emotion engines"

[1689] (Claim 1)

[1690] A means for a user to register an operation tool and an operation flow;

[1691] A server learns the operation tool and operation flow;

[1692] A means for the terminal to monitor the user's operation and record the start and end times of the work;

[1693] A means for the device to recognize emotions;

[1694] means for transmitting the recorded data to a server;

[1695] means for the server to analyze the received data and generate a report;

[1696] A system including:

[1697] (Claim 2)

[1698] 2. The system according to claim 1, further comprising means for the terminal to monitor the user's operations and record the details of the work and the number of processed items based on the operation flow.

[1699] (Claim 3)

[1700] 2. The system of claim 1, further comprising means for the server to analyze the received data and generate a report including a start time, an end time, a total number of man-hours, and a number of transactions.

[1701] (Claim 4)

[1702] 10. The system of claim 1, wherein the terminal further comprises means for recognizing emotions in real time and recording the emotional state together with the work record. [Explanation of symbols]

[1703] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for a user to register a business tool and a business flow; A server learns the business tools and business flows; A means for the terminal to monitor the user's operation and record the start and end times of the work; means for transmitting the recorded data to a server; means for the server to analyze the received data and generate a report; A system including:

2. 2. The system according to claim 1, further comprising means for the terminal to monitor the user's operations and record the details of the work and the number of processed items based on the business flow.

3. 2. The system of claim 1, further comprising means for the server to analyze the received data and generate a report including start time, end time, total man-hours, and number of transactions.

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