System

Abstract

A system is provided.SOLUTION: This system is provided with a means for recording the operation of a task, a means for analyzing recorded operation data, and for generating a task flow, a means for preparing a task manual based on the generated task flow, and a means for automating a part of the generated task flow.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] When work relies on the specialized knowledge and skills of individuals, handover becomes difficult, leading to problems such as the work becoming mundane or missing tasks. Furthermore, a lack of standardization of work can easily lead to a decline in efficiency. In particular, tedious and repetitive work requires a great deal of time and effort because it is not automated. To address these issues, there is a need for methods to efficiently streamline work, create manuals, and develop tools to achieve efficiency and standardization across the entire business. [Means for solving the problem]

[0005] In order to solve the above problems, the present invention provides the following means: A means for recording business operations is used to collect user business actions in real time, and a business flow is generated by analyzing the recorded operation data. Furthermore, a means for automatically creating a business manual based on the generated business flow is provided. Also, a means for automating part of the generated business flow is provided, using a tool to automate recurring routine work. This provides a system that prevents business operations from becoming mundane and handovers from being missed, and achieves efficiency and standardization of the entire business.

[0006] ---

[0007] "Work" refers to a set of tasks or activities defined within a company or organization.

[0008] "Means for recording operations" refers to devices or software that record user input and operations in real time and store and collect them as digital data.

[0009] "Operation data" refers to a series of digital data generated in the course of a user's operation, including keystrokes, mouse clicks, application switching, and the like.

[0010] "Means for analysis" refers to algorithms or software for analyzing collected operational data and extracting specific business patterns or flows from that data.

[0011] "Business flow" refers to the flow of procedures and processes for carrying out a specific business operation, expressed as diagrams or digital data.

[0012] "Means for creating business manuals" refers to software that automatically generates documents that detail operating procedures and important points based on the generated business flow.

[0013] A "business manual" is a document that describes the procedures and methods for carrying out a specific task, and serves as a guide for new personnel to understand and carry out the task.

[0014] "Means of automation" refers to scripts or programs that automatically execute part or all of a business flow.

[0015] "System" refers to a collection of devices, software, and processes that operate in conjunction with each of the above means. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] This invention is a system that takes the daily work movements of people as input and creates workflows, manuals, and tools for those work. This system prevents the work from becoming mundane and handovers are missed, and improves the efficiency of the entire work.

[0038] System Configuration

[0039] This system mainly consists of the following three components:

[0040] Terminal: A device that records the actions of a user performing a task.

[0041] Server: A central management device that analyzes recorded data, generates business processes and manuals, and develops and distributes automation tools.

[0042] User: The operator who performs the day-to-day tasks.

[0043] Program processing

[0044] Recording business operations

[0045] The terminals are equipped with dedicated software that records user operations in real time, including keystrokes, mouse clicks, application switching, and website access.

[0046] Data transmission and analysis

[0047] The terminal compresses the operation data collected at regular time intervals and transmits it to the server.

[0048] The server analyzes the received data and executes an algorithm to generate a business flow. From the analysis results, it detects repeated operations and specific patterns and identifies them as a business flow.

[0049] Business flow and manual generation

[0050] The server automatically generates a business flow based on the analysis results, which is visually represented as operation procedures and a process map.

[0051] The server automatically creates a detailed work manual based on the generated work flow. This manual includes operational procedures and important points to note, allowing new staff to quickly understand and carry out their work.

[0052] Development and distribution of automation tools

[0053] The server identifies recurring tasks and simple tasks within the workflow and develops scripts and software to automate them.

[0054] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0055] The terminal uses the installed automation tool to automatically execute tasks at specified times and under specified conditions, significantly reducing the user's workload and improving work efficiency.

[0056] Specific examples

[0057] For example, in the case of data entry work in the accounting department, the system operates as follows.

[0058] 1. In daily work, users enter data into an Excel spreadsheet and save it.

[0059] 2. Recording software installed on the device captures these operations and records them as data.

[0060] 3. The terminal sends the collected data to the server, which analyzes the data and generates a business flow.

[0061] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to the user or new person in charge.

[0062] 5. The server develops a script that automates data entry operations in Excel and distributes it to the terminals.

[0063] 6. The device periodically runs an automated script to automatically input and save data into an Excel spreadsheet.

[0064] In this way, the present invention can standardize and streamline operations, thereby reducing the workload on users.

[0065] The processing flow will be explained below.

[0066] Step 1:

[0067] The server remotely installs dedicated work observation software on the terminal, which records user operations in real time without requiring external input.

[0068] Step 2:

[0069] Users can carry out their normal tasks, such as entering data into Excel and saving files, without having to worry about special operations or settings.

[0070] Step 3:

[0071] Observation software installed on the device records user actions (keystrokes, mouse clicks, application switching, etc.) in real time.

[0072] Step 4:

[0073] The terminal compresses the recorded data at regular intervals and transmits it to the server. This interval is often set to, for example, every hour.

[0074] Step 5:

[0075] The server runs an algorithm to analyze the received operation data, which analyzes operation patterns and frequencies to identify workflows, specifically detecting repetition of specific key sequences or click patterns.

[0076] Step 6:

[0077] The server automatically generates a workflow based on the analysis results, which is then visually represented with each step illustrated.

[0078] Step 7:

[0079] The server creates a detailed business manual based on the generated business flow, including each operation procedure, important points to note, and conditional branching.

[0080] Step 8:

[0081] The server outputs the created business manual in a digital format (e.g., PDF format) and distributes it to the relevant parties. The manual is also placed on the terminal so that it can be easily referenced.

[0082] Step 9:

[0083] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[0084] Step 10:

[0085] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0086] Step 11:

[0087] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[0088] Step 12:

[0089] Users can check the results of automated tasks and make adjustments or corrections as necessary, improving work efficiency and reducing the burden on users.

[0090] Example 1

[0091] 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."

[0092] There is a need to prevent the secularization of work and missed handovers, and to improve the efficiency of the entire business. This will require standardization and automation of work, reducing the workload on users.

[0093] 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.

[0094] In this invention, the server includes means for recording user business operations, means for compressing the recorded operation data at regular time intervals and transmitting it to the server, means for analyzing the operation data transmitted to the server and generating a business flow, means for automatically creating a business manual based on the generated business flow, means for identifying recurring tasks and simple operations from the generated business flow and developing an automation tool, means for remotely distributing the developed automation tool to a terminal, and means for executing the tool using the automation tool distributed to the terminal, thereby enabling standardization, efficiency, and automation of business operations.

[0095] A "user" is an operator who performs daily tasks and is the entity that performs business operations in the system.

[0096] A "business operation" is a series of operations such as keystrokes, mouse clicks, application switching, and website access that a user performs to carry out a business operation.

[0097] "Operation data" refers to data such as keystrokes, mouse clicks, application switching, and website accesses recorded when a user performs business operations.

[0098] A "terminal" is a device used by a user to perform business operations, such as a computer or other electronic device that has dedicated software for recording operation data.

[0099] The "server" is a central management device that receives and analyzes operation data sent from terminals, generates business flows and business manuals, and develops and distributes automation tools.

[0100] A "business flow" is a series of steps or process map for business operations that is generated from operation data analyzed by the server.

[0101] A "business manual" is a document that contains detailed operating procedures and important points to note, created based on the business flow generated by the server.

[0102] An "automation tool" is a script or software developed to allow a server to identify recurring tasks or simple operations within a business process and automatically execute them.

[0103] "Remote distribution" refers to the process of remotely transmitting automation tools and other software from a server to a terminal via a network and installing them on the terminal.

[0104] This invention is a system that records and analyzes the daily work operations performed by people to improve the efficiency, standardization, and automation of work. This system is mainly composed of a terminal operated by the user, a server that analyzes the data and generates work flows and manuals, and the users who use them.

[0105] Specifically, when a user performs daily tasks, dedicated recording software is installed on the terminal. This recording software captures all user operations in real time, including keystrokes, mouse clicks, application switching, and website access, and records them as operation data. The operation data is periodically compressed and sent to a server via the Internet.

[0106] The server receives and analyzes this operation data, using a machine learning model written in Python, for example. The server detects repeated operations and specific patterns from the data and generates a business flow. It can also automatically create a detailed business manual based on the generated business flow. The business manual contains specific descriptions of each operation procedure and important points, helping new staff members to quickly understand and carry out their work.

[0107] Furthermore, the server identifies recurring tasks and simple operations from within the business flow and develops scripts and software to automate them. This is done using tools such as RPA (Robotic Process Automation). The developed automation tools are distributed remotely to the terminals and installed on them. The terminals then use these automation tools to automatically execute tasks at specified times and under specified conditions. This significantly reduces the workload on users and dramatically improves work efficiency.

[0108] As a concrete example, consider the daily work of an accounting department. A user enters sales data into an Excel spreadsheet and saves it. Recording software installed on the terminal captures this operation and records it as data. The terminal then sends the collected data to a server, which analyzes it and generates a business flow. The server automatically creates a detailed business manual based on this business flow and distributes it to the user or new person in charge. The server also develops a script to automate the entry of sales data and distributes it remotely to the terminal. The terminal then automatically executes this script at a specified time, enters the data into an Excel spreadsheet, and saves it.

[0109] An example of a prompt to be input to the generative AI model is as follows:

[0110] "Please explain a system that captures and analyzes a user's workflow and provides automated business tools. As a specific example, let's consider the automation of data entry work into Excel in the accounting department."

[0111] In this way, the invention can standardize, streamline and automate business operations, significantly reducing the workload of users.

[0112] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0113] Step 1: Record business operations

[0114] A user operates various applications to perform a task, for example, inputting data into an Excel spreadsheet.

[0115] The device uses dedicated recording software to capture the user's keystrokes, mouse clicks, application switching, website access, and other operations in real time, and records them as operation data.

[0116] Input: User actions (e.g., keystrokes, mouse clicks)

[0117] Output: Captured operation data

[0118] Step 2: Sending operation data

[0119] The terminal compresses the operation data recorded at regular time intervals and transmits it to a server via the Internet.

[0120] Input: Compressed operation data

[0121] Output: Operation data sent to the server

[0122] Specifically, the terminal transmits operation data in batch processing every hour.

[0123] Step 3: Analyzing operational data

[0124] The server runs an algorithm to analyze the received operational data, for example using a machine learning model written in Python.

[0125] Input: Received operation data

[0126] Output: Analysis results (generation of business flow)

[0127] The server detects repeated operations and specific patterns from the data and identifies them as business flows.

[0128] Step 4: Create a workflow

[0129] The server automatically generates a business flow based on the analysis results, which is visually represented as a process map.

[0130] Input: Analysis results

[0131] Output: Generated business flow (process map)

[0132] The workflow is displayed as a series of steps.

[0133] Step 5: Create an operations manual

[0134] The server automatically creates a business manual based on the generated business flow, which includes detailed operating procedures and important points to note.

[0135] Input: Generated workflow

[0136] Output: Detailed business manual

[0137] The business manual will include specific steps such as "Step 1: Select cell A1, Step 2: Enter data."

[0138] Step 6: Developing automation tools

[0139] The server identifies recurring tasks and simple operations within the workflow and develops scripts to automate them.

[0140] Input: Recurring tasks in the workflow

[0141] Output: Automation tools (scripts and software)

[0142] Specifically, we will create a script that uses RPA technology to automate data entry tasks in Excel.

[0143] Step 7: Distributing the automation tool

[0144] The server remotely distributes the developed automation tools to the terminals and installs them.

[0145] Input: Automation tool

[0146] Output: Automation tools installed on the device

[0147] Distribute the tool remotely and install it on the device.

[0148] Step 8: Run the automation tool

[0149] The terminal executes automated tasks at specified times and under specified conditions using the installed automation tools.

[0150] Input: Installed automation tools

[0151] Output: Auto-executed tasks

[0152] Specifically, new data is automatically entered into an Excel sheet and saved at a set time every day.

[0153] Through the above steps, this system achieves standardization, efficiency, and automation of business operations, significantly reducing the workload of users.

[0154] (Application example 1)

[0155] 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."

[0156] In modern factories, when robots perform routine tasks, work efficiency often declines and standardization of tasks becomes difficult. It is also common for the handover of tasks and training of new operators to be time-consuming and costly. Existing systems require a great deal of effort and time to automatically generate workflows, create work manuals, and develop automation tools, preventing sufficient efficiency gains. Furthermore, there are also insufficient systems for monitoring work efficiency and proposing improvements. A system that can overcome these challenges and significantly improve factory operational efficiency is needed.

[0157] 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.

[0158] In this invention, the server includes a means for recording business operations, a means for analyzing the recorded operation data and generating a business flow, a means for creating a business manual based on the generated business flow, a means for automating part of the generated business flow, and a means for monitoring work efficiency and making improvement suggestions. This makes it possible to standardize and streamline work, quickly take over work, simplify the training of new operators, and improve work efficiency throughout the factory.

[0159] A "means for recording business operations" is a device or software that electronically stores the specific operations and work processes performed by a factory robot so that they can be analyzed later.

[0160] "Means for analyzing recorded operation data and generating business flows" refers to a system that processes operation data recorded by robots and operators, and automatically creates optimal work procedures and process maps based on that data.

[0161] "Means for creating a business manual based on a generated business flow" refers to a method or technology for automatically creating a document that details specific operating procedures and important points based on a generated business flow.

[0162] "Means for automating part of the generated business flow" refers to a system that uses programs and scripts to automatically execute repetitive operations and simple tasks.

[0163] "Means for monitoring work efficiency and making improvement suggestions" refers to a technology that continuously observes and analyzes the efficiency of work performed by robots in factories, and makes specific suggestions for improving efficiency based on the results.

[0164] "Means for collecting operation data in real time" refers to a device or software that instantly records all operations performed by a robot or operator and transmits that information to a server in real time.

[0165] "Means for outputting and distributing in digital format" refers to a system for storing automatically generated business manuals in the form of electronic documents and distributing them electronically to users who need them.

[0166] "Means for recording robot operations in factories, generating workflows, and developing and installing automation tools" refers to a technology and method for recording the operations of robots operating in factories, creating workflows based on those operating procedures, and then developing and installing automation programs on the robots.

[0167] This invention is a system that records the work of robots used in factories, analyzes the data, generates a workflow, and ultimately automates some of the work. To achieve this, the system is composed of the following main components:

[0168] System Configuration

[0169] 1. Terminal: The terminal has software installed to record the robot's operations in real time. This software captures and logs the robot's movements and data from sensors.

[0170] 2. Server: The server receives and analyzes operation data sent from the terminal. It generates a business flow based on the received data and automatically creates a business manual based on that business flow. It also develops and distributes tools to automate repetitive operations and simple tasks.

[0171] 3. User: The user is the operator of the factory and the person who carries out the day to day operations.

[0172] Program processing

[0173] In the present invention, the following process is carried out.

[0174] 1. Operation Recording: The recording software installed on the terminal captures the operations performed by the robot in real time. The terminal collects and records keystrokes, operation logs, and robot movement information.

[0175] 2. Data transmission and analysis: The collected operation data is transmitted to the server at regular intervals. The server analyzes the received data and generates a workflow. Data processing techniques and algorithms are used for the analysis to detect specific operation patterns and repetitive actions.

[0176] 3. Generation of Workflows and Manuals: Based on the analysis results, the server automatically generates a workflow. The workflow is visually expressed as operation procedures and flowcharts. A detailed work manual is also automatically created based on the generated workflow, allowing new operators to quickly understand and carry out their work.

[0177] 4. Development and distribution of automation tools: The server identifies repetitive tasks and simple operations from the business flow and develops scripts and software to automate them. The developed automation tools are distributed remotely to the terminals.

[0178] 5. Work efficiency monitoring and improvement suggestions: The server uses the installed automation tools to monitor work efficiency and make suggestions for improving efficiency.

[0179] Hardware and software used

[0180] Hardware: Robots in the factory, terminals for data collection, and a central management server.

[0181] Software: Recording software for data capture, algorithms for data analysis, workflow generation software, scripts for developing automation tools.

[0182] Specific examples

[0183] For example, when a robot inspects product shelves in a factory, its operations are captured by recording software. The collected data is sent to a server, which generates a business flow based on the analysis results and automatically creates a business manual based on that flow. The server then develops a script to automate daily shelf inspections and distributes it to the robot. This allows the robot to automatically inspect shelves every day.

[0184] Prompt Sentence Examples

[0185] Design a system for the accounting department that will input data into an Excel spreadsheet every day, record the operations to save it, automatically generate a business flow based on that, and then create business manuals and automation tools based on this flow. Include a process to save user operation data in JSON format and analyze it on the server.

[0186] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0187] Step 1:

[0188] Operation Record

[0189] The terminal captures the operations performed by the robots in the factory in real time. Specifically, it collects key inputs, signals from sensors, and robot operation data. The input includes data on the operation and control of the robot, which is saved in data storage. The output is an operation log.

[0190] Step 2:

[0191] Sending data

[0192] The terminal sends the collected operation data to the server at regular intervals. The input is the operation log recorded in step 1. This is compressed and sent to the server, and the output is stored on the server.

[0193] Step 3:

[0194] Data analysis

[0195] The server analyzes the received operation data and generates a workflow. The input is the transmitted operation log, which is processed using an analysis algorithm. Specific operation patterns and repetitive actions are detected, and a workflow is generated as the output.

[0196] Step 4:

[0197] Visualizing business flow and creating manuals

[0198] The server creates and visualizes flowcharts and process maps based on the generated business flow. It also automatically generates detailed business manuals. The input is the business flow generated in step 3, and the flowchart and business manual are created based on this. The output is a visual business flowchart and a digital business manual.

[0199] Step 5:

[0200] Development of automation tools

[0201] The server identifies recurring tasks and simple operations from the workflow and develops scripts and software to automate them. The inputs are the workflow and manual obtained in steps 3 and 4. Based on this, an automation script is generated, and the output is an automation tool.

[0202] Step 6:

[0203] Distribution and installation of automation tools

[0204] The server remotely distributes the developed automation tool to the terminal and installs it. The input is the automation tool developed in step 5. It is distributed to the terminal and installed. The output is that the automation tool is installed on the robot and it is ready to use.

[0205] Step 7:

[0206] Work efficiency monitoring and improvement suggestions

[0207] The server continuously monitors work efficiency using the installed automation tools. The inputs are robot work data and performance logs. This is analyzed and specific proposals for improving efficiency are generated. The output is efficiency improvement proposals.

[0208] 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.

[0209] This invention combines a system that takes the actions of everyday work performed by people as input, creates workflows for those work, creates manuals, and develops tools for those work, with an emotion engine that recognizes the user's emotions. This system prevents the work from becoming mundane and handovers are missed, improving the efficiency of the entire work process. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more user-friendly work environment.

[0210] System Configuration

[0211] This system mainly consists of the following four components:

[0212] Terminal: A device that records the user's actions while performing tasks and recognizes the user's emotions.

[0213] Server: A central management device that analyzes recorded data, generates business processes and manuals, and develops and distributes automation tools.

[0214] User: The operator who performs the day-to-day tasks.

[0215] Emotion engine: A device or software that recognizes a user's emotions in real time and collects that data.

[0216] Program processing

[0217] Recording work actions and recognizing emotions

[0218] The device is equipped with dedicated software and an emotion engine that records user operations in real time, including keystrokes, mouse clicks, application switching, and website access.

[0219] The emotion engine analyzes the user's facial expressions and tone of voice to recognize and record emotions in real time.

[0220] Data transmission and analysis

[0221] The device compresses the recorded operation data and emotion data at regular intervals and transmits them to the server. This interval is often set to, for example, every hour.

[0222] The server runs an algorithm to analyze the received operation data and emotion data, and from the analysis results, it detects repeated operations and specific patterns and identifies them as business flows.

[0223] Business flow and manual generation

[0224] The server automatically generates a workflow based on the analysis of the operation data and emotion data. The workflow is visually represented, with each step illustrated.

[0225] The server creates a detailed business manual based on the generated workflow. This manual includes each operation procedure, important points, and conditional branching. It may also add warnings for specific operation steps based on emotion data.

[0226] Development and distribution of automation tools

[0227] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[0228] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0229] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[0230] Specific examples

[0231] For example, in the case of a customer support department, the system operates as follows:

[0232] 1. In the course of their daily work, users respond to customer inquiries and enter the necessary information into the system.

[0233] 2. Recording software installed on the device captures these operations, and the emotion engine analyzes the user's tone of voice and facial expressions to record emotional data.

[0234] 3. The terminal sends the collected data to the server, which analyzes the data and generates a business flow.

[0235] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to users and new staff members. It also reflects in the manual information such as "inquiries requiring special attention" and "scenarios that cause high customer dissatisfaction" based on the emotional data.

[0236] 5. The server develops scripts that automate customer support template responses and email sending, and distributes them to the devices.

[0237] 6. The device executes the automated script based on the specified conditions, creates and sends a response email.

[0238] In this way, the present invention achieves standardization and efficiency of operations, and by taking into consideration the user's feelings, it is possible to provide customer support with higher levels of customer satisfaction.

[0239] The processing flow will be explained below.

[0240] Business and emotion data processing steps

[0241] Step 1:

[0242] The server remotely installs dedicated work observation software and an emotion engine on the terminal, which records the user's actions and emotions in real time, without requiring external input.

[0243] Step 2:

[0244] Users can carry out their normal tasks, such as entering data into Excel and saving files, without having to worry about special operations or settings.

[0245] Step 3:

[0246] Observation software installed on the device records user actions (keystrokes, mouse clicks, application switching, etc.) in real time. At the same time, an emotion engine analyzes the user's facial expressions and tone of voice to recognize and record emotions in real time.

[0247] Step 4:

[0248] The device compresses the recorded operation data and emotion data at regular intervals and transmits them to the server. This interval is often set to, for example, every hour.

[0249] Step 5:

[0250] The server runs an algorithm to analyze the received operation data and emotion data. This analyzes operation patterns, frequency, and emotional fluctuations to identify workflows. Specifically, it detects recurrence of specific key sequences, click patterns, and frequency of occurrence.

[0251] Step 6:

[0252] The server automatically generates a business flow based on the analysis results, which is visually represented as operation procedures and a process map.

[0253] Step 7:

[0254] The server creates a detailed business manual based on the generated workflow. The manual includes each operation procedure, important points to note, and conditional branching. Based on the emotion data, if a particular step increases the user's stress or anxiety, the manual will include a warning about that point.

[0255] Step 8:

[0256] The server outputs the created business manual in a digital format (e.g., PDF format) and distributes it to the relevant parties. It also stores it on a terminal so that it can be easily referenced.

[0257] Step 9:

[0258] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[0259] Step 10:

[0260] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0261] Step 11:

[0262] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[0263] Step 12:

[0264] The user can review the results of the automated tasks and make adjustments or corrections as needed. Based on the analysis of emotional data, the impact of a particular automated process on the user is also evaluated, and the automation is adjusted if necessary.

[0265] Specific examples

[0266] For example, in the case of a customer support department, the system operates as follows:

[0267] 1. In the course of their daily work, users respond to customer inquiries and enter the necessary information into the system.

[0268] 2. Recording software installed on the device captures operations, and the emotion engine analyzes the user's tone of voice and facial expressions to record emotional data.

[0269] 3. The device sends the collected data (operation data and emotion data) to the server, which analyzes the data and generates a business flow.

[0270] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to users and new staff members. Based on the emotion data, the manual reflects inquiry scenarios that require attention.

[0271] 5. The server develops scripts that automate customer support template responses and email sending, and distributes them to the devices.

[0272] 6. The device executes the automated script based on the specified conditions, creates and sends a response email.

[0273] In this way, we can standardize and streamline operations, and by taking user feelings into consideration, we can provide customer support that provides higher levels of customer satisfaction.

[0274] Example 2

[0275] 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."

[0276] In modern work, the dependency on individual tasks and missed handovers are major issues. This hinders efficient business operations and ultimately reduces the productivity of the entire organization. Furthermore, business design that ignores user emotions can lead to a poor user experience. Therefore, there is a demand for technology that standardizes tasks, facilitates handover, and provides business flows that take user emotions into consideration.

[0277] 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.

[0278] In this invention, the server includes a means for recording business operations, a means for analyzing the recorded operation data and emotion data to generate a business flow, a means for creating a business manual based on the generated business flow, and a means for collecting user operations and emotions in real time, which makes it possible to standardize and streamline business operations and provide a more user-friendly business environment that takes user emotions into consideration.

[0279] A "means for recording business operations" is a device or software that captures various operations performed by a user (such as keystrokes, mouse clicks, application switching, and website access) in real time.

[0280] The "means for analyzing recorded operation data and emotional data and generating a workflow" refers to an algorithm and analysis system that detects repetitive tasks and specific patterns based on collected operation data and emotional data, and expresses them as a visual workflow.

[0281] The "means for creating a business manual based on the generated business flow" is a system that automatically creates a manual that explains each step of the business flow in detail and includes operating procedures, points to note, conditional branching, and warnings based on emotional data.

[0282] "Means for automating parts of the generated workflow" refers to tools and software that identify repetitive tasks within the workflow and enable them to be performed automatically using scripts or programs.

[0283] "Means for collecting user operations and emotions in real time" refers to a system that uses sensors such as cameras and microphones to collect emotional data in real time by analyzing not only user operations but also facial expressions and tone of voice.

[0284] The "means for compressing at regular intervals and transmitting to a central management device" refers to a function and communication protocol for periodically compressing the collected operation data and emotion data and transmitting it to a server.

[0285] This invention is a system aimed at standardizing work and improving user experience, and functions mainly through cooperation between terminals, servers, and users. This system records the user's work actions, recognizes their emotions, and analyzes this data to automatically generate work flows and work manuals.

[0286] First, the device has dedicated software that records user operations in real time. This software can capture keystrokes, mouse clicks, application switching, website access, and more. Furthermore, the device is equipped with an emotion engine that uses the camera and microphone to analyze the user's facial expressions and tone of voice to collect emotional data. For example, it can capture facial expressions and tone of voice when the user is distressed.

[0287] Next, the device compresses the collected operation data and emotion data at regular intervals (e.g., every hour) and transmits them to the server using a common data compression algorithm and a secure communication protocol.

[0288] The server analyzes the received data. Programming languages ​​such as Python are used for data analysis, and the algorithms are based on machine learning models. The server analyzes the operation data and emotion data to detect repeated operations and specific patterns. This allows a visual workflow to be automatically generated in BPMN (Business Process Model and Notation) format. For example, in the case of a customer support department's response work, the steps to follow in response to a customer inquiry are visually displayed.

[0289] Furthermore, the server creates a detailed business manual based on the generated business flow. This manual includes each operation procedure, points to note, conditional branching, and warnings based on emotion data. For example, information such as "Please be careful as users often have trouble at this step" is added.

[0290] Finally, the server identifies recurring tasks within the business flow and creates scripts and programs to automate those tasks. For example, a script may be generated to automatically enter certain data into specific cells in an Excel spreadsheet. The completed automation tools are then remotely distributed to and installed on the terminals. The terminals then execute these automation tools based on specified conditions and schedules. For example, the server may import Excel data at a set time every day, automatically formatting and saving it.

[0291] Specific prompt examples:

[0292] "Record the workflow of your customer support department, analyze the data with an emotion engine, and generate a work manual based on that data. Also, create an automation script for template responses."

[0293] This system will standardize and streamline operations, and by taking user feelings into consideration, it will provide a more user-friendly work environment.

[0294] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0295] Step 1:

[0296] The device records the user's operations in real time as they perform their work. Special software is installed and captures the keys the user types, mouse clicks, application switching, and website access. The input is a series of user operations, and the output is data on those operations. In addition, the device's built-in emotion engine uses the camera and microphone to analyze the user's facial expressions and tone of voice to generate emotion data. This emotion data is also recorded.

[0297] Step 2:

[0298] The device compresses the operation data and emotion data recorded at regular intervals (for example, every hour) and sends it to the server. The input is the recorded operation data and emotion data, and the output is the compressed data sent to the server. A common data compression algorithm is used to compress the data.

[0299] Step 3:

[0300] The server receives data sent from the device. The input is compressed operation data and emotion data, and the output is decompressed data. The server decompresses the received data and executes an analysis algorithm using a programming language such as Python. The server detects repeated operations and specific patterns and identifies them as a business flow.

[0301] Step 4:

[0302] The server automatically generates a business flow based on the analysis results. The input is the analyzed operation data and emotion data, and the output is a visual representation of the business flow. The business flow is displayed visually in BPMN (Business Process Model and Notation) format. For example, in the case of a customer support department's response work, the procedure for responding to a customer inquiry is visually displayed.

[0303] Step 5:

[0304] The server creates a detailed business manual based on the generated business flow. The input is the generated business flow, and the output is the business manual. This manual includes each operation procedure, points to note, conditional branching, and warnings based on emotion data. For example, information such as "Please be careful as users often have trouble with this step" is added.

[0305] Step 6:

[0306] The server identifies repetitive tasks from within the business flow and creates scripts and programs to automate those parts. The input is the generated business flow and user operation data, and the output is an automation script. For example, a script is generated to automatically enter certain data into specific cells in Excel. The completed automation tool is distributed remotely to the terminal and installed on the terminal.

[0307] Step 7:

[0308] The terminal executes the installed automation tool based on specified conditions and schedules. The input is the automation tool's script and schedule information, and the output is the automated operation results. For example, the operation of importing Excel data at a set time every day, formatting it, and saving it automatically is performed.

[0309] In this way, the present invention realizes standardization and efficiency of work, and by taking into consideration the feelings of the user, it is possible to provide a more user-friendly work environment.

[0310] (Application example 2)

[0311] 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."

[0312] Conventional business record systems only record the operations of a business, and their main purpose is to generate and automate business flows based on those operations. As a result, it is difficult to automate tasks that may cause stress or emotional changes without taking into account the emotions and stress of staff. Another issue is the lack of consideration for the emotions of staff when handing over tasks to new staff.

[0313] 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 recording business operations, means for analyzing the recorded operation data and emotion data and generating a business flow, means for creating a business manual based on the generated business flow, means for automating part of the generated business flow, and means for recognizing and recording emotion data in real time. This makes it possible to provide a more user-friendly and efficient business environment by taking into account changes in stress and emotions of staff members regarding their work.

[0314] "Means for recording business operations" refers to devices or software that record the operations and actions of staff members when performing their work.

[0315] The "means for analyzing the recorded operation data and emotion data and generating a business flow" refers to a device or software that analyzes the acquired operation data and the emotion data of staff members, and abstracts and illustrates the procedures for business operations.

[0316] The "means for creating a business manual based on the generated business flow" refers to a device or software that creates a business manual including specific operating procedures and important points based on the generated business flow.

[0317] A "means for automating a part of the generated workflow" is a device or software that develops and executes scripts or programs to automate specific operations or tasks that are repeated in the workflow.

[0318] "Means for recognizing and recording emotional data in real time" refers to devices or software that analyze the facial expressions and tone of voice of staff members to recognize and record their emotional state in real time.

[0319] "Tablet devices and smartphones" are portable information devices with a variety of functions.

[0320] A "high-performance server" is a computer system that can process a large amount of data at high speed.

[0321] A "data analysis algorithm" is a procedure or calculation method for finding regularities and patterns in data.

[0322] A "scripting language" is a programming language used to automate business processes and write simple processes.

[0323] This invention is a system that integrates operation records and emotion recognition in factory work, automatically generates work flows, creates work manuals, and automates some of the work. This system mainly consists of the following components:

[0324] Devices: Tablets and smartphones operated by factory staff, which record operational and emotional data.

[0325] Server: Analyzes the recorded data, generates business flows and business manuals, and develops automation tools and distributes them to devices.

[0326] Emotion Engine: Software for recognizing and recording user emotions in real time.

[0327] Program processing

[0328] Recording user actions

[0329] The devices record touch operations, keystrokes, application switching, and other actions taken by factory staff in real time, allowing for the collection of detailed operational data. The hardware used is a tablet or smartphone, and is equipped with dedicated software that comprehensively captures specific operations.

[0330] emotion recognition

[0331] The emotion engine uses the device's built-in camera and microphone to analyze the facial expressions and tone of voice of factory staff and record emotional data in real time, using emotion recognition APIs such as Microsoft Azure Face API.

[0332] Data transmission and analysis

[0333] The device periodically transmits the recorded operation data and emotion data to a server. The data is transmitted via Wi-Fi or 5G communication networks, and is then received and analyzed by a high-performance server. Advanced data analysis algorithms using tools such as Scikit-learn are used for data analysis.

[0334] Creating a business flow

[0335] The server detects repeated operations and specific patterns from the received operation data and emotion data, and generates a workflow based on them. This workflow is then visually represented, with each step illustrated.

[0336] Creation of business manuals

[0337] The server then creates a detailed business manual based on the generated workflow. This manual includes each operation procedure, important points to note, and conditional branching. Based on the emotion data, it also adds warnings for specific operation steps.

[0338] Development and distribution of automation tools

[0339] The server creates scripts to automate repetitive tasks within the workflow. For example, scripts using Python or JavaScript are generated. The completed automation tool is distributed remotely to the device and automatically executed under specified conditions.

[0340] Specific examples

[0341] In a factory, workers are assembling parts. The system works as follows:

[0342] 1. When staff perform touch operations or keystrokes, the tablet device records these operations in real time.

[0343] 2. Internal cameras and microphones analyze staff facial expressions and tone of voice and record them as emotional data.

[0344] 3. The device transmits the collected operation data and emotion data to the server at regular intervals.

[0345] 4. The server analyzes the received data and generates a workflow. For example, it illustrates steps such as "take out part A," "attach it to part B," "tighten the screws," and "check the finished product."

[0346] 5. Based on the generated workflow, the server creates a business manual that includes warnings for specific operational steps based on the emotion data.

[0347] 6. The server creates scripts to automate repetitive tasks that were previously done manually and distributes them remotely to the devices.

[0348] Prompt Sentence Examples

[0349] "Please automatically generate workflows for factory staff assembling parts, and create detailed operation manuals with additional reminders based on emotion data for specific operation steps. We will provide the following data:

[0350] Operational Data

[0351] Emotional data

[0352] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0353] Step 1:

[0354] The terminal records in real time the touch operations, keystrokes, application switching, etc., performed by factory staff as they perform their work. The input is the factory staff's operation data, and the output is the recorded operation data. This includes the operation of capturing the operation data using dedicated software and saving it to a database.

[0355] Step 2:

[0356] The device uses a built-in camera and microphone to analyze the facial expressions and tone of voice of factory staff in real time and record emotional data. The input is the facial expressions and voice of the factory staff, and the output is the analyzed emotional data. Real-time analysis is performed using an emotion recognition API, and the results are stored in a database.

[0357] Step 3:

[0358] The device periodically transmits the recorded operation data and emotion data to the server. The input is the recorded operation data and emotion data, and the output is the transmitted data. The compressed data is uploaded to the server via Wi-Fi or a 5G communication network.

[0359] Step 4:

[0360] The server analyzes the received operation data and emotion data and generates a workflow. The input is the sent operation data and emotion data, and the output is the generated workflow. Data analysis algorithms are used to detect patterns and generate workflows.

[0361] Step 5:

[0362] The server creates a detailed business manual based on the generated business flow. The input is the generated business flow, and the output is a detailed business manual. This includes the operation of using a document generation tool to create a manual that includes business procedures, points to note, conditional branching, and warnings based on emotion data.

[0363] Step 6:

[0364] The server creates scripts to automate tasks that are repeated in the business flow and distributes them to terminals. The input is the generated business flow and the output is the automation script. This includes creating the automation script using a scripting language and distributing it remotely to terminals.

[0365] Step 7:

[0366] The terminal automatically executes the distributed automation tool under specified conditions. The input is the automation script, and the output is the automatically executed business operation. This includes the operation of executing the script to automate business operations according to the set schedule and conditions.

[0367] 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.

[0368] 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.

[0369] 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.

[0370] [Second embodiment]

[0371] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0372] 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.

[0373] 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).

[0374] 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.

[0375] 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.

[0376] 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).

[0377] 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.

[0378] 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.

[0379] 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.

[0380] 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.

[0381] 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.

[0382] 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."

[0383] This invention is a system that takes the daily work movements of people as input and creates workflows, manuals, and tools for those work. This system prevents the work from becoming mundane and handovers are missed, and improves the efficiency of the entire work.

[0384] System Configuration

[0385] This system mainly consists of the following three components:

[0386] Terminal: A device that records the actions of a user performing a task.

[0387] Server: A central management device that analyzes recorded data, generates business processes and manuals, and develops and distributes automation tools.

[0388] User: The operator who performs the day-to-day tasks.

[0389] Program processing

[0390] Recording business operations

[0391] The terminals are equipped with dedicated software that records user operations in real time, including keystrokes, mouse clicks, application switching, and website access.

[0392] Data transmission and analysis

[0393] The terminal compresses the operation data collected at regular time intervals and transmits it to the server.

[0394] The server analyzes the received data and executes an algorithm to generate a business flow. From the analysis results, it detects repeated operations and specific patterns and identifies them as a business flow.

[0395] Business flow and manual generation

[0396] The server automatically generates a business flow based on the analysis results, which is visually represented as operation procedures and a process map.

[0397] The server automatically creates a detailed work manual based on the generated work flow. This manual includes operational procedures and important points to note, allowing new staff to quickly understand and carry out their work.

[0398] Development and distribution of automation tools

[0399] The server identifies recurring tasks and simple tasks within the workflow and develops scripts and software to automate them.

[0400] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0401] The terminal uses the installed automation tool to automatically execute tasks at specified times and under specified conditions, significantly reducing the user's workload and improving work efficiency.

[0402] Specific examples

[0403] For example, in the case of data entry work in the accounting department, the system operates as follows.

[0404] 1. In daily work, users enter data into an Excel spreadsheet and save it.

[0405] 2. Recording software installed on the device captures these operations and records them as data.

[0406] 3. The terminal sends the collected data to the server, which analyzes the data and generates a business flow.

[0407] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to the user or new person in charge.

[0408] 5. The server develops a script that automates data entry operations in Excel and distributes it to the terminals.

[0409] 6. The device periodically runs an automated script to automatically input and save data into an Excel spreadsheet.

[0410] In this way, the present invention can standardize and streamline operations, thereby reducing the workload on users.

[0411] The processing flow will be explained below.

[0412] Step 1:

[0413] The server remotely installs dedicated work observation software on the terminal, which records user operations in real time without requiring external input.

[0414] Step 2:

[0415] Users can carry out their normal tasks, such as entering data into Excel and saving files, without having to worry about special operations or settings.

[0416] Step 3:

[0417] Observation software installed on the device records user actions (keystrokes, mouse clicks, application switching, etc.) in real time.

[0418] Step 4:

[0419] The terminal compresses the recorded data at regular intervals and transmits it to the server. This interval is often set to, for example, every hour.

[0420] Step 5:

[0421] The server runs an algorithm to analyze the received operation data, which analyzes operation patterns and frequencies to identify workflows, specifically detecting repetition of specific key sequences or click patterns.

[0422] Step 6:

[0423] The server automatically generates a workflow based on the analysis results, which is then visually represented with each step illustrated.

[0424] Step 7:

[0425] The server creates a detailed business manual based on the generated business flow, including each operation procedure, important points to note, and conditional branching.

[0426] Step 8:

[0427] The server outputs the created business manual in a digital format (e.g., PDF format) and distributes it to the relevant parties. The manual is also placed on the terminal so that it can be easily referenced.

[0428] Step 9:

[0429] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[0430] Step 10:

[0431] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0432] Step 11:

[0433] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[0434] Step 12:

[0435] Users can check the results of automated tasks and make adjustments or corrections as necessary, improving work efficiency and reducing the burden on users.

[0436] Example 1

[0437] 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."

[0438] There is a need to prevent the secularization of work and missed handovers, and to improve the efficiency of the entire business. This will require standardization and automation of work, reducing the workload on users.

[0439] 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.

[0440] In this invention, the server includes means for recording user business operations, means for compressing the recorded operation data at regular time intervals and transmitting it to the server, means for analyzing the operation data transmitted to the server and generating a business flow, means for automatically creating a business manual based on the generated business flow, means for identifying recurring tasks and simple operations from the generated business flow and developing an automation tool, means for remotely distributing the developed automation tool to a terminal, and means for executing the tool using the automation tool distributed to the terminal, thereby enabling standardization, efficiency, and automation of business operations.

[0441] A "user" is an operator who performs daily tasks and is the entity that performs business operations in the system.

[0442] A "business operation" is a series of operations such as keystrokes, mouse clicks, application switching, and website access that a user performs to carry out a business operation.

[0443] "Operation data" refers to data such as keystrokes, mouse clicks, application switching, and website accesses recorded when a user performs business operations.

[0444] A "terminal" is a device used by a user to perform business operations, such as a computer or other electronic device that has dedicated software for recording operation data.

[0445] The "server" is a central management device that receives and analyzes operation data sent from terminals, generates business flows and business manuals, and develops and distributes automation tools.

[0446] A "business flow" is a series of steps or process map for business operations that is generated from operation data analyzed by the server.

[0447] A "business manual" is a document that contains detailed operating procedures and important points to note, created based on the business flow generated by the server.

[0448] An "automation tool" is a script or software developed to allow a server to identify recurring tasks or simple operations within a business process and automatically execute them.

[0449] "Remote distribution" refers to the process of remotely transmitting automation tools and other software from a server to a terminal via a network and installing them on the terminal.

[0450] This invention is a system that records and analyzes the daily work operations performed by people to improve the efficiency, standardization, and automation of work. This system is mainly composed of a terminal operated by the user, a server that analyzes the data and generates work flows and manuals, and the users who use them.

[0451] Specifically, when a user performs daily tasks, dedicated recording software is installed on the terminal. This recording software captures all user operations in real time, including keystrokes, mouse clicks, application switching, and website access, and records them as operation data. The operation data is periodically compressed and sent to a server via the Internet.

[0452] The server receives and analyzes this operation data, using a machine learning model written in Python, for example. The server detects repeated operations and specific patterns from the data and generates a business flow. It can also automatically create a detailed business manual based on the generated business flow. The business manual contains specific descriptions of each operation procedure and important points, helping new staff members to quickly understand and carry out their work.

[0453] Furthermore, the server identifies recurring tasks and simple operations from within the business flow and develops scripts and software to automate them. This is done using tools such as RPA (Robotic Process Automation). The developed automation tools are distributed remotely to the terminals and installed on them. The terminals then use these automation tools to automatically execute tasks at specified times and under specified conditions. This significantly reduces the workload on users and dramatically improves work efficiency.

[0454] As a concrete example, consider the daily work of an accounting department. A user enters sales data into an Excel spreadsheet and saves it. Recording software installed on the terminal captures this operation and records it as data. The terminal then sends the collected data to a server, which analyzes it and generates a business flow. The server automatically creates a detailed business manual based on this business flow and distributes it to the user or new person in charge. The server also develops a script to automate the entry of sales data and distributes it remotely to the terminal. The terminal then automatically executes this script at a specified time, enters the data into an Excel spreadsheet, and saves it.

[0455] An example of a prompt to be input to the generative AI model is as follows:

[0456] "Please explain a system that captures and analyzes a user's workflow and provides automated business tools. As a specific example, let's consider the automation of data entry work into Excel in the accounting department."

[0457] In this way, the invention can standardize, streamline and automate business operations, significantly reducing the workload of users.

[0458] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0459] Step 1: Record business operations

[0460] A user operates various applications to perform a task, for example, inputting data into an Excel spreadsheet.

[0461] The device uses dedicated recording software to capture the user's keystrokes, mouse clicks, application switching, website access, and other operations in real time, and records them as operation data.

[0462] Input: User actions (e.g., keystrokes, mouse clicks)

[0463] Output: Captured operation data

[0464] Step 2: Sending operation data

[0465] The terminal compresses the operation data recorded at regular time intervals and transmits it to a server via the Internet.

[0466] Input: Compressed operation data

[0467] Output: Operation data sent to the server

[0468] Specifically, the terminal transmits operation data in batch processing every hour.

[0469] Step 3: Analyzing operational data

[0470] The server runs an algorithm to analyze the received operational data, for example using a machine learning model written in Python.

[0471] Input: Received operation data

[0472] Output: Analysis results (generation of business flow)

[0473] The server detects repeated operations and specific patterns from the data and identifies them as business flows.

[0474] Step 4: Create a workflow

[0475] The server automatically generates a business flow based on the analysis results, which is visually represented as a process map.

[0476] Input: Analysis results

[0477] Output: Generated business flow (process map)

[0478] The workflow is displayed as a series of steps.

[0479] Step 5: Create an operations manual

[0480] The server automatically creates a business manual based on the generated business flow, which includes detailed operating procedures and important points to note.

[0481] Input: Generated workflow

[0482] Output: Detailed business manual

[0483] The business manual will include specific steps such as "Step 1: Select cell A1, Step 2: Enter data."

[0484] Step 6: Developing automation tools

[0485] The server identifies recurring tasks and simple operations within the workflow and develops scripts to automate them.

[0486] Input: Recurring tasks in the workflow

[0487] Output: Automation tools (scripts and software)

[0488] Specifically, we will create a script that uses RPA technology to automate data entry tasks in Excel.

[0489] Step 7: Distributing the automation tool

[0490] The server remotely distributes the developed automation tools to the terminals and installs them.

[0491] Input: Automation tool

[0492] Output: Automation tools installed on the device

[0493] Distribute the tool remotely and install it on the device.

[0494] Step 8: Run the automation tool

[0495] The terminal executes automated tasks at specified times and under specified conditions using the installed automation tools.

[0496] Input: Installed automation tools

[0497] Output: Auto-executed tasks

[0498] Specifically, new data is automatically entered into an Excel sheet and saved at a set time every day.

[0499] Through the above steps, this system achieves standardization, efficiency, and automation of business operations, significantly reducing the workload of users.

[0500] (Application example 1)

[0501] 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."

[0502] In modern factories, when robots perform routine tasks, work efficiency often declines and standardization of tasks becomes difficult. It is also common for the handover of tasks and training of new operators to be time-consuming and costly. Existing systems require a great deal of effort and time to automatically generate workflows, create work manuals, and develop automation tools, preventing sufficient efficiency gains. Furthermore, there are also insufficient systems for monitoring work efficiency and proposing improvements. A system that can overcome these challenges and significantly improve factory operational efficiency is needed.

[0503] 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.

[0504] In this invention, the server includes a means for recording business operations, a means for analyzing the recorded operation data and generating a business flow, a means for creating a business manual based on the generated business flow, a means for automating part of the generated business flow, and a means for monitoring work efficiency and making improvement suggestions. This makes it possible to standardize and streamline work, quickly take over work, simplify the training of new operators, and improve work efficiency throughout the factory.

[0505] A "means for recording business operations" is a device or software that electronically stores the specific operations and work processes performed by a factory robot so that they can be analyzed later.

[0506] "Means for analyzing recorded operation data and generating business flows" refers to a system that processes operation data recorded by robots and operators, and automatically creates optimal work procedures and process maps based on that data.

[0507] "Means for creating a business manual based on a generated business flow" refers to a method or technology for automatically creating a document that details specific operating procedures and important points based on a generated business flow.

[0508] "Means for automating part of the generated business flow" refers to a system that uses programs and scripts to automatically execute repetitive operations and simple tasks.

[0509] "Means for monitoring work efficiency and making improvement suggestions" refers to a technology that continuously observes and analyzes the efficiency of work performed by robots in factories, and makes specific suggestions for improving efficiency based on the results.

[0510] "Means for collecting operation data in real time" refers to a device or software that instantly records all operations performed by a robot or operator and transmits that information to a server in real time.

[0511] "Means for outputting and distributing in digital format" refers to a system for storing automatically generated business manuals in the form of electronic documents and distributing them electronically to users who need them.

[0512] "Means for recording robot operations in factories, generating workflows, and developing and installing automation tools" refers to a technology and method for recording the operations of robots operating in factories, creating workflows based on those operating procedures, and then developing and installing automation programs on the robots.

[0513] This invention is a system that records the work of robots used in factories, analyzes the data, generates a workflow, and ultimately automates some of the work. To achieve this, the system is composed of the following main components:

[0514] System Configuration

[0515] 1. Terminal: The terminal has software installed to record the robot's operations in real time. This software captures and logs the robot's movements and data from sensors.

[0516] 2. Server: The server receives and analyzes operation data sent from the terminal. It generates a business flow based on the received data and automatically creates a business manual based on that business flow. It also develops and distributes tools to automate repetitive operations and simple tasks.

[0517] 3. User: The user is the operator of the factory and the person who carries out the day to day operations.

[0518] Program processing

[0519] In the present invention, the following process is carried out.

[0520] 1. Operation Recording: The recording software installed on the terminal captures the operations performed by the robot in real time. The terminal collects and records keystrokes, operation logs, and robot movement information.

[0521] 2. Data transmission and analysis: The collected operation data is transmitted to the server at regular intervals. The server analyzes the received data and generates a workflow. Data processing techniques and algorithms are used for the analysis to detect specific operation patterns and repetitive actions.

[0522] 3. Generation of Workflows and Manuals: Based on the analysis results, the server automatically generates a workflow. The workflow is visually expressed as operation procedures and flowcharts. A detailed work manual is also automatically created based on the generated workflow, allowing new operators to quickly understand and carry out their work.

[0523] 4. Development and distribution of automation tools: The server identifies repetitive tasks and simple operations from the business flow and develops scripts and software to automate them. The developed automation tools are distributed remotely to the terminals.

[0524] 5. Work efficiency monitoring and improvement suggestions: The server uses the installed automation tools to monitor work efficiency and make suggestions for improving efficiency.

[0525] Hardware and software used

[0526] Hardware: Robots in the factory, terminals for data collection, and a central management server.

[0527] Software: Recording software for data capture, algorithms for data analysis, workflow generation software, scripts for developing automation tools.

[0528] Specific examples

[0529] For example, when a robot inspects product shelves in a factory, its operations are captured by recording software. The collected data is sent to a server, which generates a business flow based on the analysis results and automatically creates a business manual based on that flow. The server then develops a script to automate daily shelf inspections and distributes it to the robot. This allows the robot to automatically inspect shelves every day.

[0530] Prompt Sentence Examples

[0531] Design a system for the accounting department that will input data into an Excel spreadsheet every day, record the operations to save it, automatically generate a business flow based on that, and then create business manuals and automation tools based on this flow. Include a process to save user operation data in JSON format and analyze it on the server.

[0532] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0533] Step 1:

[0534] Operation Record

[0535] The terminal captures the operations performed by the robots in the factory in real time. Specifically, it collects key inputs, signals from sensors, and robot operation data. The input includes data on the operation and control of the robot, which is saved in data storage. The output is an operation log.

[0536] Step 2:

[0537] Sending data

[0538] The terminal sends the collected operation data to the server at regular intervals. The input is the operation log recorded in step 1. This is compressed and sent to the server, and the output is stored on the server.

[0539] Step 3:

[0540] Data analysis

[0541] The server analyzes the received operation data and generates a workflow. The input is the transmitted operation log, which is processed using an analysis algorithm. Specific operation patterns and repetitive actions are detected, and a workflow is generated as the output.

[0542] Step 4:

[0543] Visualizing business flow and creating manuals

[0544] The server creates and visualizes flowcharts and process maps based on the generated business flow. It also automatically generates detailed business manuals. The input is the business flow generated in step 3, and the flowchart and business manual are created based on this. The output is a visual business flowchart and a digital business manual.

[0545] Step 5:

[0546] Development of automation tools

[0547] The server identifies recurring tasks and simple operations from the workflow and develops scripts and software to automate them. The inputs are the workflow and manual obtained in steps 3 and 4. Based on this, an automation script is generated, and the output is an automation tool.

[0548] Step 6:

[0549] Distribution and installation of automation tools

[0550] The server remotely distributes the developed automation tool to the terminal and installs it. The input is the automation tool developed in step 5. It is distributed to the terminal and installed. The output is that the automation tool is installed on the robot and it is ready to use.

[0551] Step 7:

[0552] Work efficiency monitoring and improvement suggestions

[0553] The server continuously monitors work efficiency using the installed automation tools. The inputs are robot work data and performance logs. This is analyzed and specific proposals for improving efficiency are generated. The output is efficiency improvement proposals.

[0554] 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.

[0555] This invention combines a system that takes the actions of everyday work performed by people as input, creates workflows for those work, creates manuals, and develops tools for those work, with an emotion engine that recognizes the user's emotions. This system prevents the work from becoming mundane and handovers are missed, improving the efficiency of the entire work process. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more user-friendly work environment.

[0556] System Configuration

[0557] This system mainly consists of the following four components:

[0558] Terminal: A device that records the user's actions while performing tasks and recognizes the user's emotions.

[0559] Server: A central management device that analyzes recorded data, generates business processes and manuals, and develops and distributes automation tools.

[0560] User: The operator who performs the day-to-day tasks.

[0561] Emotion engine: A device or software that recognizes a user's emotions in real time and collects that data.

[0562] Program processing

[0563] Recording work actions and recognizing emotions

[0564] The device is equipped with dedicated software and an emotion engine that records user operations in real time, including keystrokes, mouse clicks, application switching, and website access.

[0565] The emotion engine analyzes the user's facial expressions and tone of voice to recognize and record emotions in real time.

[0566] Data transmission and analysis

[0567] The device compresses the recorded operation data and emotion data at regular intervals and transmits them to the server. This interval is often set to, for example, every hour.

[0568] The server runs an algorithm to analyze the received operation data and emotion data, and from the analysis results, it detects repeated operations and specific patterns and identifies them as business flows.

[0569] Business flow and manual generation

[0570] The server automatically generates a workflow based on the analysis of the operation data and emotion data. The workflow is visually represented, with each step illustrated.

[0571] The server creates a detailed business manual based on the generated workflow. This manual includes each operation procedure, important points, and conditional branching. It may also add warnings for specific operation steps based on emotion data.

[0572] Development and distribution of automation tools

[0573] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[0574] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0575] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[0576] Specific examples

[0577] For example, in the case of a customer support department, the system operates as follows:

[0578] 1. In the course of their daily work, users respond to customer inquiries and enter the necessary information into the system.

[0579] 2. Recording software installed on the device captures these operations, and the emotion engine analyzes the user's tone of voice and facial expressions to record emotional data.

[0580] 3. The terminal sends the collected data to the server, which analyzes the data and generates a business flow.

[0581] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to users and new staff members. It also reflects in the manual information such as "inquiries requiring special attention" and "scenarios that cause high customer dissatisfaction" based on the emotional data.

[0582] 5. The server develops scripts that automate customer support template responses and email sending, and distributes them to the devices.

[0583] 6. The device executes the automated script based on the specified conditions, creates and sends a response email.

[0584] In this way, the present invention achieves standardization and efficiency of operations, and by taking into consideration the user's feelings, it is possible to provide customer support with higher levels of customer satisfaction.

[0585] The processing flow will be explained below.

[0586] Business and emotion data processing steps

[0587] Step 1:

[0588] The server remotely installs dedicated work observation software and an emotion engine on the terminal, which records the user's actions and emotions in real time, without requiring external input.

[0589] Step 2:

[0590] Users can carry out their normal tasks, such as entering data into Excel and saving files, without having to worry about special operations or settings.

[0591] Step 3:

[0592] Observation software installed on the device records user actions (keystrokes, mouse clicks, application switching, etc.) in real time. At the same time, an emotion engine analyzes the user's facial expressions and tone of voice to recognize and record emotions in real time.

[0593] Step 4:

[0594] The device compresses the recorded operation data and emotion data at regular intervals and transmits them to the server. This interval is often set to, for example, every hour.

[0595] Step 5:

[0596] The server runs an algorithm to analyze the received operation data and emotion data. This analyzes operation patterns, frequency, and emotional fluctuations to identify workflows. Specifically, it detects recurrence of specific key sequences, click patterns, and frequency of occurrence.

[0597] Step 6:

[0598] The server automatically generates a business flow based on the analysis results, which is visually represented as operation procedures and a process map.

[0599] Step 7:

[0600] The server creates a detailed business manual based on the generated workflow. The manual includes each operation procedure, important points to note, and conditional branching. Based on the emotion data, if a particular step increases the user's stress or anxiety, the manual will include a warning about that point.

[0601] Step 8:

[0602] The server outputs the created business manual in a digital format (e.g., PDF format) and distributes it to the relevant parties. It also stores it on a terminal so that it can be easily referenced.

[0603] Step 9:

[0604] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[0605] Step 10:

[0606] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0607] Step 11:

[0608] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[0609] Step 12:

[0610] The user can review the results of the automated tasks and make adjustments or corrections as needed. Based on the analysis of emotional data, the impact of a particular automated process on the user is also evaluated, and the automation is adjusted if necessary.

[0611] Specific examples

[0612] For example, in the case of a customer support department, the system operates as follows:

[0613] 1. In the course of their daily work, users respond to customer inquiries and enter the necessary information into the system.

[0614] 2. Recording software installed on the device captures operations, and the emotion engine analyzes the user's tone of voice and facial expressions to record emotional data.

[0615] 3. The device sends the collected data (operation data and emotion data) to the server, which analyzes the data and generates a business flow.

[0616] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to users and new staff members. Based on the emotion data, the manual reflects inquiry scenarios that require attention.

[0617] 5. The server develops scripts that automate customer support template responses and email sending, and distributes them to the devices.

[0618] 6. The device executes the automated script based on the specified conditions, creates and sends a response email.

[0619] In this way, we can standardize and streamline operations, and by taking user feelings into consideration, we can provide customer support that provides higher levels of customer satisfaction.

[0620] Example 2

[0621] 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."

[0622] In modern work, the dependency on individual tasks and missed handovers are major issues. This hinders efficient business operations and ultimately reduces the productivity of the entire organization. Furthermore, business design that ignores user emotions can lead to a poor user experience. Therefore, there is a demand for technology that standardizes tasks, facilitates handover, and provides business flows that take user emotions into consideration.

[0623] 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.

[0624] In this invention, the server includes a means for recording business operations, a means for analyzing the recorded operation data and emotion data to generate a business flow, a means for creating a business manual based on the generated business flow, and a means for collecting user operations and emotions in real time, which makes it possible to standardize and streamline business operations and provide a more user-friendly business environment that takes user emotions into consideration.

[0625] A "means for recording business operations" is a device or software that captures various operations performed by a user (such as keystrokes, mouse clicks, application switching, and website access) in real time.

[0626] The "means for analyzing recorded operation data and emotional data and generating a workflow" refers to an algorithm and analysis system that detects repetitive tasks and specific patterns based on collected operation data and emotional data, and expresses them as a visual workflow.

[0627] The "means for creating a business manual based on the generated business flow" is a system that automatically creates a manual that explains each step of the business flow in detail and includes operating procedures, points to note, conditional branching, and warnings based on emotional data.

[0628] "Means for automating parts of the generated workflow" refers to tools and software that identify repetitive tasks within the workflow and enable them to be performed automatically using scripts or programs.

[0629] "Means for collecting user operations and emotions in real time" refers to a system that uses sensors such as cameras and microphones to collect emotional data in real time by analyzing not only user operations but also facial expressions and tone of voice.

[0630] The "means for compressing at regular intervals and transmitting to a central management device" refers to a function and communication protocol for periodically compressing the collected operation data and emotion data and transmitting it to a server.

[0631] This invention is a system aimed at standardizing work and improving user experience, and functions mainly through cooperation between terminals, servers, and users. This system records the user's work actions, recognizes their emotions, and analyzes this data to automatically generate work flows and work manuals.

[0632] First, the device has dedicated software that records user operations in real time. This software can capture keystrokes, mouse clicks, application switching, website access, and more. Furthermore, the device is equipped with an emotion engine that uses the camera and microphone to analyze the user's facial expressions and tone of voice to collect emotional data. For example, it can capture facial expressions and tone of voice when the user is distressed.

[0633] Next, the device compresses the collected operation data and emotion data at regular intervals (e.g., every hour) and transmits them to the server using a common data compression algorithm and a secure communication protocol.

[0634] The server analyzes the received data. Programming languages ​​such as Python are used for data analysis, and the algorithms are based on machine learning models. The server analyzes the operation data and emotion data to detect repeated operations and specific patterns. This allows a visual workflow to be automatically generated in BPMN (Business Process Model and Notation) format. For example, in the case of a customer support department's response work, the steps to follow in response to a customer inquiry are visually displayed.

[0635] Furthermore, the server creates a detailed business manual based on the generated business flow. This manual includes each operation procedure, points to note, conditional branching, and warnings based on emotion data. For example, information such as "Please be careful as users often have trouble at this step" is added.

[0636] Finally, the server identifies recurring tasks within the business flow and creates scripts and programs to automate those tasks. For example, a script may be generated to automatically enter certain data into specific cells in an Excel spreadsheet. The completed automation tools are then remotely distributed to and installed on the terminals. The terminals then execute these automation tools based on specified conditions and schedules. For example, the server may import Excel data at a set time every day, automatically formatting and saving it.

[0637] Specific prompt examples:

[0638] "Record the workflow of your customer support department, analyze the data with an emotion engine, and generate a work manual based on that data. Also, create an automation script for template responses."

[0639] This system will standardize and streamline operations, and by taking user feelings into consideration, it will provide a more user-friendly work environment.

[0640] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0641] Step 1:

[0642] The device records the user's operations in real time as they perform their work. Special software is installed and captures the keys the user types, mouse clicks, application switching, and website access. The input is a series of user operations, and the output is data on those operations. In addition, the device's built-in emotion engine uses the camera and microphone to analyze the user's facial expressions and tone of voice to generate emotion data. This emotion data is also recorded.

[0643] Step 2:

[0644] The device compresses the operation data and emotion data recorded at regular intervals (for example, every hour) and sends it to the server. The input is the recorded operation data and emotion data, and the output is the compressed data sent to the server. A common data compression algorithm is used to compress the data.

[0645] Step 3:

[0646] The server receives data sent from the device. The input is compressed operation data and emotion data, and the output is decompressed data. The server decompresses the received data and executes an analysis algorithm using a programming language such as Python. The server detects repeated operations and specific patterns and identifies them as a business flow.

[0647] Step 4:

[0648] The server automatically generates a business flow based on the analysis results. The input is the analyzed operation data and emotion data, and the output is a visual representation of the business flow. The business flow is displayed visually in BPMN (Business Process Model and Notation) format. For example, in the case of a customer support department's response work, the procedure for responding to a customer inquiry is visually displayed.

[0649] Step 5:

[0650] The server creates a detailed business manual based on the generated business flow. The input is the generated business flow, and the output is the business manual. This manual includes each operation procedure, points to note, conditional branching, and warnings based on emotion data. For example, information such as "Please be careful as users often have trouble with this step" is added.

[0651] Step 6:

[0652] The server identifies repetitive tasks from within the business flow and creates scripts and programs to automate those parts. The input is the generated business flow and user operation data, and the output is an automation script. For example, a script is generated to automatically enter certain data into specific cells in Excel. The completed automation tool is distributed remotely to the terminal and installed on the terminal.

[0653] Step 7:

[0654] The terminal executes the installed automation tool based on specified conditions and schedules. The input is the automation tool's script and schedule information, and the output is the automated operation results. For example, the operation of importing Excel data at a set time every day, formatting it, and saving it automatically is performed.

[0655] In this way, the present invention realizes standardization and efficiency of work, and by taking into consideration the feelings of the user, it is possible to provide a more user-friendly work environment.

[0656] (Application example 2)

[0657] 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."

[0658] Conventional business record systems only record the operations of a business, and their main purpose is to generate and automate business flows based on those operations. As a result, it is difficult to automate tasks that may cause stress or emotional changes without taking into account the emotions and stress of staff. Another issue is the lack of consideration for the emotions of staff when handing over tasks to new staff.

[0659] 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 recording business operations, means for analyzing the recorded operation data and emotion data and generating a business flow, means for creating a business manual based on the generated business flow, means for automating part of the generated business flow, and means for recognizing and recording emotion data in real time. This makes it possible to provide a more user-friendly and efficient business environment by taking into account changes in stress and emotions of staff members regarding their work.

[0660] "Means for recording business operations" refers to devices or software that record the operations and actions of staff members when performing their work.

[0661] The "means for analyzing the recorded operation data and emotion data and generating a business flow" refers to a device or software that analyzes the acquired operation data and the emotion data of staff members, and abstracts and illustrates the procedures for business operations.

[0662] The "means for creating a business manual based on the generated business flow" refers to a device or software that creates a business manual including specific operating procedures and important points based on the generated business flow.

[0663] A "means for automating a part of the generated workflow" is a device or software that develops and executes scripts or programs to automate specific operations or tasks that are repeated in the workflow.

[0664] "Means for recognizing and recording emotional data in real time" refers to devices or software that analyze the facial expressions and tone of voice of staff members to recognize and record their emotional state in real time.

[0665] "Tablet devices and smartphones" are portable information devices with a variety of functions.

[0666] A "high-performance server" is a computer system that can process a large amount of data at high speed.

[0667] A "data analysis algorithm" is a procedure or calculation method for finding regularities and patterns in data.

[0668] A "scripting language" is a programming language used to automate business processes and write simple processes.

[0669] This invention is a system that integrates operation records and emotion recognition in factory work, automatically generates work flows, creates work manuals, and automates some of the work. This system mainly consists of the following components:

[0670] Devices: Tablets and smartphones operated by factory staff, which record operational and emotional data.

[0671] Server: Analyzes the recorded data, generates business flows and business manuals, and develops automation tools and distributes them to devices.

[0672] Emotion Engine: Software for recognizing and recording user emotions in real time.

[0673] Program processing

[0674] Recording user actions

[0675] The devices record touch operations, keystrokes, application switching, and other actions taken by factory staff in real time, allowing for the collection of detailed operational data. The hardware used is a tablet or smartphone, and is equipped with dedicated software that comprehensively captures specific operations.

[0676] emotion recognition

[0677] The emotion engine uses the device's built-in camera and microphone to analyze the facial expressions and tone of voice of factory staff and record emotional data in real time, using emotion recognition APIs such as Microsoft Azure Face API.

[0678] Data transmission and analysis

[0679] The device periodically transmits the recorded operation data and emotion data to a server. The data is transmitted via Wi-Fi or 5G communication networks, and is then received and analyzed by a high-performance server. Advanced data analysis algorithms using tools such as Scikit-learn are used for data analysis.

[0680] Creating a business flow

[0681] The server detects repeated operations and specific patterns from the received operation data and emotion data, and generates a workflow based on them. This workflow is then visually represented, with each step illustrated.

[0682] Creation of business manuals

[0683] The server then creates a detailed business manual based on the generated workflow. This manual includes each operation procedure, important points to note, and conditional branching. Based on the emotion data, it also adds warnings for specific operation steps.

[0684] Development and distribution of automation tools

[0685] The server creates scripts to automate repetitive tasks within the workflow. For example, scripts using Python or JavaScript are generated. The completed automation tool is distributed remotely to the device and automatically executed under specified conditions.

[0686] Specific examples

[0687] In a factory, workers are assembling parts. The system works as follows:

[0688] 1. When staff perform touch operations or keystrokes, the tablet device records these operations in real time.

[0689] 2. Internal cameras and microphones analyze staff facial expressions and tone of voice and record them as emotional data.

[0690] 3. The device transmits the collected operation data and emotion data to the server at regular intervals.

[0691] 4. The server analyzes the received data and generates a workflow. For example, it illustrates steps such as "take out part A," "attach it to part B," "tighten the screws," and "check the finished product."

[0692] 5. Based on the generated workflow, the server creates a business manual that includes warnings for specific operational steps based on the emotion data.

[0693] 6. The server creates scripts to automate repetitive tasks that were previously done manually and distributes them remotely to the devices.

[0694] Prompt Sentence Examples

[0695] "Please automatically generate workflows for factory staff assembling parts, and create detailed operation manuals with additional reminders based on emotion data for specific operation steps. We will provide the following data:

[0696] Operational Data

[0697] Emotional data

[0698] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0699] Step 1:

[0700] The terminal records in real time the touch operations, keystrokes, application switching, etc., performed by factory staff as they perform their work. The input is the factory staff's operation data, and the output is the recorded operation data. This includes the operation of capturing the operation data using dedicated software and saving it to a database.

[0701] Step 2:

[0702] The device uses a built-in camera and microphone to analyze the facial expressions and tone of voice of factory staff in real time and record emotional data. The input is the facial expressions and voice of the factory staff, and the output is the analyzed emotional data. Real-time analysis is performed using an emotion recognition API, and the results are stored in a database.

[0703] Step 3:

[0704] The device periodically transmits the recorded operation data and emotion data to the server. The input is the recorded operation data and emotion data, and the output is the transmitted data. The compressed data is uploaded to the server via Wi-Fi or a 5G communication network.

[0705] Step 4:

[0706] The server analyzes the received operation data and emotion data and generates a workflow. The input is the sent operation data and emotion data, and the output is the generated workflow. Data analysis algorithms are used to detect patterns and generate workflows.

[0707] Step 5:

[0708] The server creates a detailed business manual based on the generated business flow. The input is the generated business flow, and the output is a detailed business manual. This includes the operation of using a document generation tool to create a manual that includes business procedures, points to note, conditional branching, and warnings based on emotion data.

[0709] Step 6:

[0710] The server creates scripts to automate tasks that are repeated in the business flow and distributes them to terminals. The input is the generated business flow and the output is the automation script. This includes creating the automation script using a scripting language and distributing it remotely to terminals.

[0711] Step 7:

[0712] The terminal automatically executes the distributed automation tool under specified conditions. The input is the automation script, and the output is the automatically executed business operation. This includes the operation of executing the script to automate business operations according to the set schedule and conditions.

[0713] 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.

[0714] 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.

[0715] 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.

[0716] [Third embodiment]

[0717] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0718] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0719] 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).

[0720] 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.

[0721] 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.

[0722] 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).

[0723] 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.

[0724] 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.

[0725] 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.

[0726] 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.

[0727] 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.

[0728] 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."

[0729] This invention is a system that takes the daily work movements of people as input and creates workflows, manuals, and tools for those work. This system prevents the work from becoming mundane and handovers are missed, and improves the efficiency of the entire work.

[0730] System Configuration

[0731] This system mainly consists of the following three components:

[0732] Terminal: A device that records the actions of a user performing a task.

[0733] Server: A central management device that analyzes recorded data, generates business processes and manuals, and develops and distributes automation tools.

[0734] User: The operator who performs the day-to-day tasks.

[0735] Program processing

[0736] Recording business operations

[0737] The terminals are equipped with dedicated software that records user operations in real time, including keystrokes, mouse clicks, application switching, and website access.

[0738] Data transmission and analysis

[0739] The terminal compresses the operation data collected at regular time intervals and transmits it to the server.

[0740] The server analyzes the received data and executes an algorithm to generate a business flow. From the analysis results, it detects repeated operations and specific patterns and identifies them as a business flow.

[0741] Business flow and manual generation

[0742] The server automatically generates a business flow based on the analysis results, which is visually represented as operation procedures and a process map.

[0743] The server automatically creates a detailed work manual based on the generated work flow. This manual includes operational procedures and important points to note, allowing new staff to quickly understand and carry out their work.

[0744] Development and distribution of automation tools

[0745] The server identifies recurring tasks and simple tasks within the workflow and develops scripts and software to automate them.

[0746] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0747] The terminal uses the installed automation tool to automatically execute tasks at specified times and under specified conditions, significantly reducing the user's workload and improving work efficiency.

[0748] Specific examples

[0749] For example, in the case of data entry work in the accounting department, the system operates as follows.

[0750] 1. In daily work, users enter data into an Excel spreadsheet and save it.

[0751] 2. Recording software installed on the device captures these operations and records them as data.

[0752] 3. The terminal sends the collected data to the server, which analyzes the data and generates a business flow.

[0753] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to the user or new person in charge.

[0754] 5. The server develops a script that automates data entry operations in Excel and distributes it to the terminals.

[0755] 6. The device periodically runs an automated script to automatically input and save data into an Excel spreadsheet.

[0756] In this way, the present invention can standardize and streamline operations, thereby reducing the workload on users.

[0757] The processing flow will be explained below.

[0758] Step 1:

[0759] The server remotely installs dedicated work observation software on the terminal, which records user operations in real time without requiring external input.

[0760] Step 2:

[0761] Users can carry out their normal tasks, such as entering data into Excel and saving files, without having to worry about special operations or settings.

[0762] Step 3:

[0763] Observation software installed on the device records user actions (keystrokes, mouse clicks, application switching, etc.) in real time.

[0764] Step 4:

[0765] The terminal compresses the recorded data at regular intervals and transmits it to the server. This interval is often set to, for example, every hour.

[0766] Step 5:

[0767] The server runs an algorithm to analyze the received operation data, which analyzes operation patterns and frequencies to identify workflows, specifically detecting repetition of specific key sequences or click patterns.

[0768] Step 6:

[0769] The server automatically generates a workflow based on the analysis results, which is then visually represented with each step illustrated.

[0770] Step 7:

[0771] The server creates a detailed business manual based on the generated business flow, including each operation procedure, important points to note, and conditional branching.

[0772] Step 8:

[0773] The server outputs the created business manual in a digital format (e.g., PDF format) and distributes it to the relevant parties. The manual is also placed on the terminal so that it can be easily referenced.

[0774] Step 9:

[0775] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[0776] Step 10:

[0777] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0778] Step 11:

[0779] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[0780] Step 12:

[0781] Users can check the results of automated tasks and make adjustments or corrections as necessary, improving work efficiency and reducing the burden on users.

[0782] Example 1

[0783] 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."

[0784] There is a need to prevent the secularization of work and missed handovers, and to improve the efficiency of the entire business. This will require standardization and automation of work, reducing the workload on users.

[0785] 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.

[0786] In this invention, the server includes means for recording user business operations, means for compressing the recorded operation data at regular time intervals and transmitting it to the server, means for analyzing the operation data transmitted to the server and generating a business flow, means for automatically creating a business manual based on the generated business flow, means for identifying recurring tasks and simple operations from the generated business flow and developing an automation tool, means for remotely distributing the developed automation tool to a terminal, and means for executing the tool using the automation tool distributed to the terminal, thereby enabling standardization, efficiency, and automation of business operations.

[0787] A "user" is an operator who performs daily tasks and is the entity that performs business operations in the system.

[0788] A "business operation" is a series of operations such as keystrokes, mouse clicks, application switching, and website access that a user performs to carry out a business operation.

[0789] "Operation data" refers to data such as keystrokes, mouse clicks, application switching, and website accesses recorded when a user performs business operations.

[0790] A "terminal" is a device used by a user to perform business operations, such as a computer or other electronic device that has dedicated software for recording operation data.

[0791] The "server" is a central management device that receives and analyzes operation data sent from terminals, generates business flows and business manuals, and develops and distributes automation tools.

[0792] A "business flow" is a series of steps or process map for business operations that is generated from operation data analyzed by the server.

[0793] A "business manual" is a document that contains detailed operating procedures and important points to note, created based on the business flow generated by the server.

[0794] An "automation tool" is a script or software developed to allow a server to identify recurring tasks or simple operations within a business process and automatically execute them.

[0795] "Remote distribution" refers to the process of remotely transmitting automation tools and other software from a server to a terminal via a network and installing them on the terminal.

[0796] This invention is a system that records and analyzes the daily work operations performed by people to improve the efficiency, standardization, and automation of work. This system is mainly composed of a terminal operated by the user, a server that analyzes the data and generates work flows and manuals, and the users who use them.

[0797] Specifically, when a user performs daily tasks, dedicated recording software is installed on the terminal. This recording software captures all user operations in real time, including keystrokes, mouse clicks, application switching, and website access, and records them as operation data. The operation data is periodically compressed and sent to a server via the Internet.

[0798] The server receives and analyzes this operation data, using a machine learning model written in Python, for example. The server detects repeated operations and specific patterns from the data and generates a business flow. It can also automatically create a detailed business manual based on the generated business flow. The business manual contains specific descriptions of each operation procedure and important points, helping new staff members to quickly understand and carry out their work.

[0799] Furthermore, the server identifies recurring tasks and simple operations from within the business flow and develops scripts and software to automate them. This is done using tools such as RPA (Robotic Process Automation). The developed automation tools are distributed remotely to the terminals and installed on them. The terminals then use these automation tools to automatically execute tasks at specified times and under specified conditions. This significantly reduces the workload on users and dramatically improves work efficiency.

[0800] As a concrete example, consider the daily work of an accounting department. A user enters sales data into an Excel spreadsheet and saves it. Recording software installed on the terminal captures this operation and records it as data. The terminal then sends the collected data to a server, which analyzes it and generates a business flow. The server automatically creates a detailed business manual based on this business flow and distributes it to the user or new person in charge. The server also develops a script to automate the entry of sales data and distributes it remotely to the terminal. The terminal then automatically executes this script at a specified time, enters the data into an Excel spreadsheet, and saves it.

[0801] An example of a prompt to be input to the generative AI model is as follows:

[0802] "Please explain a system that captures and analyzes a user's workflow and provides automated business tools. As a specific example, let's consider the automation of data entry work into Excel in the accounting department."

[0803] In this way, the invention can standardize, streamline and automate business operations, significantly reducing the workload of users.

[0804] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0805] Step 1: Record business operations

[0806] A user operates various applications to perform a task, for example, inputting data into an Excel spreadsheet.

[0807] The device uses dedicated recording software to capture the user's keystrokes, mouse clicks, application switching, website access, and other operations in real time, and records them as operation data.

[0808] Input: User actions (e.g., keystrokes, mouse clicks)

[0809] Output: Captured operation data

[0810] Step 2: Sending operation data

[0811] The terminal compresses the operation data recorded at regular time intervals and transmits it to a server via the Internet.

[0812] Input: Compressed operation data

[0813] Output: Operation data sent to the server

[0814] Specifically, the terminal transmits operation data in batch processing every hour.

[0815] Step 3: Analyzing operational data

[0816] The server runs an algorithm to analyze the received operational data, for example using a machine learning model written in Python.

[0817] Input: Received operation data

[0818] Output: Analysis results (generation of business flow)

[0819] The server detects repeated operations and specific patterns from the data and identifies them as business flows.

[0820] Step 4: Create a workflow

[0821] The server automatically generates a business flow based on the analysis results, which is visually represented as a process map.

[0822] Input: Analysis results

[0823] Output: Generated business flow (process map)

[0824] The workflow is displayed as a series of steps.

[0825] Step 5: Create an operations manual

[0826] The server automatically creates a business manual based on the generated business flow, which includes detailed operating procedures and important points to note.

[0827] Input: Generated workflow

[0828] Output: Detailed business manual

[0829] The business manual will include specific steps such as "Step 1: Select cell A1, Step 2: Enter data."

[0830] Step 6: Developing automation tools

[0831] The server identifies recurring tasks and simple operations within the workflow and develops scripts to automate them.

[0832] Input: Recurring tasks in the workflow

[0833] Output: Automation tools (scripts and software)

[0834] Specifically, we will create a script that uses RPA technology to automate data entry tasks in Excel.

[0835] Step 7: Distributing the automation tool

[0836] The server remotely distributes the developed automation tools to the terminals and installs them.

[0837] Input: Automation tool

[0838] Output: Automation tools installed on the device

[0839] Distribute the tool remotely and install it on the device.

[0840] Step 8: Run the automation tool

[0841] The terminal executes automated tasks at specified times and under specified conditions using the installed automation tools.

[0842] Input: Installed automation tools

[0843] Output: Auto-executed tasks

[0844] Specifically, new data is automatically entered into an Excel sheet and saved at a set time every day.

[0845] Through the above steps, this system achieves standardization, efficiency, and automation of business operations, significantly reducing the workload of users.

[0846] (Application example 1)

[0847] 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."

[0848] In modern factories, when robots perform routine tasks, work efficiency often declines and standardization of tasks becomes difficult. It is also common for the handover of tasks and training of new operators to be time-consuming and costly. Existing systems require a great deal of effort and time to automatically generate workflows, create work manuals, and develop automation tools, preventing sufficient efficiency gains. Furthermore, there are also insufficient systems for monitoring work efficiency and proposing improvements. A system that can overcome these challenges and significantly improve factory operational efficiency is needed.

[0849] 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.

[0850] In this invention, the server includes a means for recording business operations, a means for analyzing the recorded operation data and generating a business flow, a means for creating a business manual based on the generated business flow, a means for automating part of the generated business flow, and a means for monitoring work efficiency and making improvement suggestions. This makes it possible to standardize and streamline work, quickly take over work, simplify the training of new operators, and improve work efficiency throughout the factory.

[0851] A "means for recording business operations" is a device or software that electronically stores the specific operations and work processes performed by a factory robot so that they can be analyzed later.

[0852] "Means for analyzing recorded operation data and generating business flows" refers to a system that processes operation data recorded by robots and operators, and automatically creates optimal work procedures and process maps based on that data.

[0853] "Means for creating a business manual based on a generated business flow" refers to a method or technology for automatically creating a document that details specific operating procedures and important points based on a generated business flow.

[0854] "Means for automating part of the generated business flow" refers to a system that uses programs and scripts to automatically execute repetitive operations and simple tasks.

[0855] "Means for monitoring work efficiency and making improvement suggestions" refers to a technology that continuously observes and analyzes the efficiency of work performed by robots in factories, and makes specific suggestions for improving efficiency based on the results.

[0856] "Means for collecting operation data in real time" refers to a device or software that instantly records all operations performed by a robot or operator and transmits that information to a server in real time.

[0857] "Means for outputting and distributing in digital format" refers to a system for storing automatically generated business manuals in the form of electronic documents and distributing them electronically to users who need them.

[0858] "Means for recording robot operations in factories, generating workflows, and developing and installing automation tools" refers to a technology and method for recording the operations of robots operating in factories, creating workflows based on those operating procedures, and then developing and installing automation programs on the robots.

[0859] This invention is a system that records the work of robots used in factories, analyzes the data, generates a workflow, and ultimately automates some of the work. To achieve this, the system is composed of the following main components:

[0860] System Configuration

[0861] 1. Terminal: The terminal has software installed to record the robot's operations in real time. This software captures and logs the robot's movements and data from sensors.

[0862] 2. Server: The server receives and analyzes operation data sent from the terminal. It generates a business flow based on the received data and automatically creates a business manual based on that business flow. It also develops and distributes tools to automate repetitive operations and simple tasks.

[0863] 3. User: The user is the operator of the factory and the person who carries out the day to day operations.

[0864] Program processing

[0865] In the present invention, the following process is carried out.

[0866] 1. Operation Recording: The recording software installed on the terminal captures the operations performed by the robot in real time. The terminal collects and records keystrokes, operation logs, and robot movement information.

[0867] 2. Data transmission and analysis: The collected operation data is transmitted to the server at regular intervals. The server analyzes the received data and generates a workflow. Data processing techniques and algorithms are used for the analysis to detect specific operation patterns and repetitive actions.

[0868] 3. Generation of Workflows and Manuals: Based on the analysis results, the server automatically generates a workflow. The workflow is visually expressed as operation procedures and flowcharts. A detailed work manual is also automatically created based on the generated workflow, allowing new operators to quickly understand and carry out their work.

[0869] 4. Development and distribution of automation tools: The server identifies repetitive tasks and simple operations from the business flow and develops scripts and software to automate them. The developed automation tools are distributed remotely to the terminals.

[0870] 5. Work efficiency monitoring and improvement suggestions: The server uses the installed automation tools to monitor work efficiency and make suggestions for improving efficiency.

[0871] Hardware and software used

[0872] Hardware: Robots in the factory, terminals for data collection, and a central management server.

[0873] Software: Recording software for data capture, algorithms for data analysis, workflow generation software, scripts for developing automation tools.

[0874] Specific examples

[0875] For example, when a robot inspects product shelves in a factory, its operations are captured by recording software. The collected data is sent to a server, which generates a business flow based on the analysis results and automatically creates a business manual based on that flow. The server then develops a script to automate daily shelf inspections and distributes it to the robot. This allows the robot to automatically inspect shelves every day.

[0876] Prompt Sentence Examples

[0877] Design a system for the accounting department that will input data into an Excel spreadsheet every day, record the operations to save it, automatically generate a business flow based on that, and then create business manuals and automation tools based on this flow. Include a process to save user operation data in JSON format and analyze it on the server.

[0878] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0879] Step 1:

[0880] Operation Record

[0881] The terminal captures the operations performed by the robots in the factory in real time. Specifically, it collects key inputs, signals from sensors, and robot operation data. The input includes data on the operation and control of the robot, which is saved in data storage. The output is an operation log.

[0882] Step 2:

[0883] Sending data

[0884] The terminal sends the collected operation data to the server at regular intervals. The input is the operation log recorded in step 1. This is compressed and sent to the server, and the output is stored on the server.

[0885] Step 3:

[0886] Data analysis

[0887] The server analyzes the received operation data and generates a workflow. The input is the transmitted operation log, which is processed using an analysis algorithm. Specific operation patterns and repetitive actions are detected, and a workflow is generated as the output.

[0888] Step 4:

[0889] Visualizing business flow and creating manuals

[0890] The server creates and visualizes flowcharts and process maps based on the generated business flow. It also automatically generates detailed business manuals. The input is the business flow generated in step 3, and the flowchart and business manual are created based on this. The output is a visual business flowchart and a digital business manual.

[0891] Step 5:

[0892] Development of automation tools

[0893] The server identifies recurring tasks and simple operations from the workflow and develops scripts and software to automate them. The inputs are the workflow and manual obtained in steps 3 and 4. Based on this, an automation script is generated, and the output is an automation tool.

[0894] Step 6:

[0895] Distribution and installation of automation tools

[0896] The server remotely distributes the developed automation tool to the terminal and installs it. The input is the automation tool developed in step 5. It is distributed to the terminal and installed. The output is that the automation tool is installed on the robot and it is ready to use.

[0897] Step 7:

[0898] Work efficiency monitoring and improvement suggestions

[0899] The server continuously monitors work efficiency using the installed automation tools. The inputs are robot work data and performance logs. This is analyzed and specific proposals for improving efficiency are generated. The output is efficiency improvement proposals.

[0900] 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.

[0901] This invention combines a system that takes the actions of everyday work performed by people as input, creates workflows for those work, creates manuals, and develops tools for those work, with an emotion engine that recognizes the user's emotions. This system prevents the work from becoming mundane and handovers are missed, improving the efficiency of the entire work process. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more user-friendly work environment.

[0902] System Configuration

[0903] This system mainly consists of the following four components:

[0904] Terminal: A device that records the user's actions while performing tasks and recognizes the user's emotions.

[0905] Server: A central management device that analyzes recorded data, generates business processes and manuals, and develops and distributes automation tools.

[0906] User: The operator who performs the day-to-day tasks.

[0907] Emotion engine: A device or software that recognizes a user's emotions in real time and collects that data.

[0908] Program processing

[0909] Recording work actions and recognizing emotions

[0910] The device is equipped with dedicated software and an emotion engine that records user operations in real time, including keystrokes, mouse clicks, application switching, and website access.

[0911] The emotion engine analyzes the user's facial expressions and tone of voice to recognize and record emotions in real time.

[0912] Data transmission and analysis

[0913] The device compresses the recorded operation data and emotion data at regular intervals and transmits them to the server. This interval is often set to, for example, every hour.

[0914] The server runs an algorithm to analyze the received operation data and emotion data, and from the analysis results, it detects repeated operations and specific patterns and identifies them as business flows.

[0915] Business flow and manual generation

[0916] The server automatically generates a workflow based on the analysis of the operation data and emotion data. The workflow is visually represented, with each step illustrated.

[0917] The server creates a detailed business manual based on the generated workflow. This manual includes each operation procedure, important points, and conditional branching. It may also add warnings for specific operation steps based on emotion data.

[0918] Development and distribution of automation tools

[0919] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[0920] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0921] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[0922] Specific examples

[0923] For example, in the case of a customer support department, the system operates as follows:

[0924] 1. In the course of their daily work, users respond to customer inquiries and enter the necessary information into the system.

[0925] 2. Recording software installed on the device captures these operations, and the emotion engine analyzes the user's tone of voice and facial expressions to record emotional data.

[0926] 3. The terminal sends the collected data to the server, which analyzes the data and generates a business flow.

[0927] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to users and new staff members. It also reflects in the manual information such as "inquiries requiring special attention" and "scenarios that cause high customer dissatisfaction" based on the emotional data.

[0928] 5. The server develops scripts that automate customer support template responses and email sending, and distributes them to the devices.

[0929] 6. The device executes the automated script based on the specified conditions, creates and sends a response email.

[0930] In this way, the present invention achieves standardization and efficiency of operations, and by taking into consideration the user's feelings, it is possible to provide customer support with higher levels of customer satisfaction.

[0931] The processing flow will be explained below.

[0932] Business and emotion data processing steps

[0933] Step 1:

[0934] The server remotely installs dedicated work observation software and an emotion engine on the terminal, which records the user's actions and emotions in real time, without requiring external input.

[0935] Step 2:

[0936] Users can carry out their normal tasks, such as entering data into Excel and saving files, without having to worry about special operations or settings.

[0937] Step 3:

[0938] Observation software installed on the device records user actions (keystrokes, mouse clicks, application switching, etc.) in real time. At the same time, an emotion engine analyzes the user's facial expressions and tone of voice to recognize and record emotions in real time.

[0939] Step 4:

[0940] The device compresses the recorded operation data and emotion data at regular intervals and transmits them to the server. This interval is often set to, for example, every hour.

[0941] Step 5:

[0942] The server runs an algorithm to analyze the received operation data and emotion data. This analyzes operation patterns, frequency, and emotional fluctuations to identify workflows. Specifically, it detects recurrence of specific key sequences, click patterns, and frequency of occurrence.

[0943] Step 6:

[0944] The server automatically generates a business flow based on the analysis results, which is visually represented as operation procedures and a process map.

[0945] Step 7:

[0946] The server creates a detailed business manual based on the generated workflow. The manual includes each operation procedure, important points to note, and conditional branching. Based on the emotion data, if a particular step increases the user's stress or anxiety, the manual will include a warning about that point.

[0947] Step 8:

[0948] The server outputs the created business manual in a digital format (e.g., PDF format) and distributes it to the relevant parties. It also stores it on a terminal so that it can be easily referenced.

[0949] Step 9:

[0950] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[0951] Step 10:

[0952] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[0953] Step 11:

[0954] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[0955] Step 12:

[0956] The user can review the results of the automated tasks and make adjustments or corrections as needed. Based on the analysis of emotional data, the impact of a particular automated process on the user is also evaluated, and the automation is adjusted if necessary.

[0957] Specific examples

[0958] For example, in the case of a customer support department, the system operates as follows:

[0959] 1. In the course of their daily work, users respond to customer inquiries and enter the necessary information into the system.

[0960] 2. Recording software installed on the device captures operations, and the emotion engine analyzes the user's tone of voice and facial expressions to record emotional data.

[0961] 3. The device sends the collected data (operation data and emotion data) to the server, which analyzes the data and generates a business flow.

[0962] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to users and new staff members. Based on the emotion data, the manual reflects inquiry scenarios that require attention.

[0963] 5. The server develops scripts that automate customer support template responses and email sending, and distributes them to the devices.

[0964] 6. The device executes the automated script based on the specified conditions, creates and sends a response email.

[0965] In this way, we can standardize and streamline operations, and by taking user feelings into consideration, we can provide customer support that provides higher levels of customer satisfaction.

[0966] Example 2

[0967] 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."

[0968] In modern work, the dependency on individual tasks and missed handovers are major issues. This hinders efficient business operations and ultimately reduces the productivity of the entire organization. Furthermore, business design that ignores user emotions can lead to a poor user experience. Therefore, there is a demand for technology that standardizes tasks, facilitates handover, and provides business flows that take user emotions into consideration.

[0969] 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.

[0970] In this invention, the server includes a means for recording business operations, a means for analyzing the recorded operation data and emotion data to generate a business flow, a means for creating a business manual based on the generated business flow, and a means for collecting user operations and emotions in real time, which makes it possible to standardize and streamline business operations and provide a more user-friendly business environment that takes user emotions into consideration.

[0971] A "means for recording business operations" is a device or software that captures various operations performed by a user (such as keystrokes, mouse clicks, application switching, and website access) in real time.

[0972] The "means for analyzing recorded operation data and emotional data and generating a workflow" refers to an algorithm and analysis system that detects repetitive tasks and specific patterns based on collected operation data and emotional data, and expresses them as a visual workflow.

[0973] The "means for creating a business manual based on the generated business flow" is a system that automatically creates a manual that explains each step of the business flow in detail and includes operating procedures, points to note, conditional branching, and warnings based on emotional data.

[0974] "Means for automating parts of the generated workflow" refers to tools and software that identify repetitive tasks within the workflow and enable them to be performed automatically using scripts or programs.

[0975] "Means for collecting user operations and emotions in real time" refers to a system that uses sensors such as cameras and microphones to collect emotional data in real time by analyzing not only user operations but also facial expressions and tone of voice.

[0976] The "means for compressing at regular intervals and transmitting to a central management device" refers to a function and communication protocol for periodically compressing the collected operation data and emotion data and transmitting it to a server.

[0977] This invention is a system aimed at standardizing work and improving user experience, and functions mainly through cooperation between terminals, servers, and users. This system records the user's work actions, recognizes their emotions, and analyzes this data to automatically generate work flows and work manuals.

[0978] First, the device has dedicated software that records user operations in real time. This software can capture keystrokes, mouse clicks, application switching, website access, and more. Furthermore, the device is equipped with an emotion engine that uses the camera and microphone to analyze the user's facial expressions and tone of voice to collect emotional data. For example, it can capture facial expressions and tone of voice when the user is distressed.

[0979] Next, the device compresses the collected operation data and emotion data at regular intervals (e.g., every hour) and transmits them to the server using a common data compression algorithm and a secure communication protocol.

[0980] The server analyzes the received data. Programming languages ​​such as Python are used for data analysis, and the algorithms are based on machine learning models. The server analyzes the operation data and emotion data to detect repeated operations and specific patterns. This allows a visual workflow to be automatically generated in BPMN (Business Process Model and Notation) format. For example, in the case of a customer support department's response work, the steps to follow in response to a customer inquiry are visually displayed.

[0981] Furthermore, the server creates a detailed business manual based on the generated business flow. This manual includes each operation procedure, points to note, conditional branching, and warnings based on emotion data. For example, information such as "Please be careful as users often have trouble at this step" is added.

[0982] Finally, the server identifies recurring tasks within the business flow and creates scripts and programs to automate those tasks. For example, a script may be generated to automatically enter certain data into specific cells in an Excel spreadsheet. The completed automation tools are then remotely distributed to and installed on the terminals. The terminals then execute these automation tools based on specified conditions and schedules. For example, the server may import Excel data at a set time every day, automatically formatting and saving it.

[0983] Specific prompt examples:

[0984] "Record the workflow of your customer support department, analyze the data with an emotion engine, and generate a work manual based on that data. Also, create an automation script for template responses."

[0985] This system will standardize and streamline operations, and by taking user feelings into consideration, it will provide a more user-friendly work environment.

[0986] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0987] Step 1:

[0988] The device records the user's operations in real time as they perform their work. Special software is installed and captures the keys the user types, mouse clicks, application switching, and website access. The input is a series of user operations, and the output is data on those operations. In addition, the device's built-in emotion engine uses the camera and microphone to analyze the user's facial expressions and tone of voice to generate emotion data. This emotion data is also recorded.

[0989] Step 2:

[0990] The device compresses the operation data and emotion data recorded at regular intervals (for example, every hour) and sends it to the server. The input is the recorded operation data and emotion data, and the output is the compressed data sent to the server. A common data compression algorithm is used to compress the data.

[0991] Step 3:

[0992] The server receives data sent from the device. The input is compressed operation data and emotion data, and the output is decompressed data. The server decompresses the received data and executes an analysis algorithm using a programming language such as Python. The server detects repeated operations and specific patterns and identifies them as a business flow.

[0993] Step 4:

[0994] The server automatically generates a business flow based on the analysis results. The input is the analyzed operation data and emotion data, and the output is a visual representation of the business flow. The business flow is displayed visually in BPMN (Business Process Model and Notation) format. For example, in the case of a customer support department's response work, the procedure for responding to a customer inquiry is visually displayed.

[0995] Step 5:

[0996] The server creates a detailed business manual based on the generated business flow. The input is the generated business flow, and the output is the business manual. This manual includes each operation procedure, points to note, conditional branching, and warnings based on emotion data. For example, information such as "Please be careful as users often have trouble with this step" is added.

[0997] Step 6:

[0998] The server identifies repetitive tasks from within the business flow and creates scripts and programs to automate those parts. The input is the generated business flow and user operation data, and the output is an automation script. For example, a script is generated to automatically enter certain data into specific cells in Excel. The completed automation tool is distributed remotely to the terminal and installed on the terminal.

[0999] Step 7:

[1000] The terminal executes the installed automation tool based on specified conditions and schedules. The input is the automation tool's script and schedule information, and the output is the automated operation results. For example, the operation of importing Excel data at a set time every day, formatting it, and saving it automatically is performed.

[1001] In this way, the present invention realizes standardization and efficiency of work, and by taking into consideration the feelings of the user, it is possible to provide a more user-friendly work environment.

[1002] (Application example 2)

[1003] 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."

[1004] Conventional business record systems only record the operations of a business, and their main purpose is to generate and automate business flows based on those operations. As a result, it is difficult to automate tasks that may cause stress or emotional changes without taking into account the emotions and stress of staff. Another issue is the lack of consideration for the emotions of staff when handing over tasks to new staff.

[1005] 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 recording business operations, means for analyzing the recorded operation data and emotion data and generating a business flow, means for creating a business manual based on the generated business flow, means for automating part of the generated business flow, and means for recognizing and recording emotion data in real time. This makes it possible to provide a more user-friendly and efficient business environment by taking into account changes in stress and emotions of staff members regarding their work.

[1006] "Means for recording business operations" refers to devices or software that record the operations and actions of staff members when performing their work.

[1007] The "means for analyzing the recorded operation data and emotion data and generating a business flow" refers to a device or software that analyzes the acquired operation data and the emotion data of staff members, and abstracts and illustrates the procedures for business operations.

[1008] The "means for creating a business manual based on the generated business flow" refers to a device or software that creates a business manual including specific operating procedures and important points based on the generated business flow.

[1009] A "means for automating a part of the generated workflow" is a device or software that develops and executes scripts or programs to automate specific operations or tasks that are repeated in the workflow.

[1010] "Means for recognizing and recording emotional data in real time" refers to devices or software that analyze the facial expressions and tone of voice of staff members to recognize and record their emotional state in real time.

[1011] "Tablet devices and smartphones" are portable information devices with a variety of functions.

[1012] A "high-performance server" is a computer system that can process a large amount of data at high speed.

[1013] A "data analysis algorithm" is a procedure or calculation method for finding regularities and patterns in data.

[1014] A "scripting language" is a programming language used to automate business processes and write simple processes.

[1015] This invention is a system that integrates operation records and emotion recognition in factory work, automatically generates work flows, creates work manuals, and automates some of the work. This system mainly consists of the following components:

[1016] Devices: Tablets and smartphones operated by factory staff, which record operational and emotional data.

[1017] Server: Analyzes the recorded data, generates business flows and business manuals, and develops automation tools and distributes them to devices.

[1018] Emotion Engine: Software for recognizing and recording user emotions in real time.

[1019] Program processing

[1020] Recording user actions

[1021] The devices record touch operations, keystrokes, application switching, and other actions taken by factory staff in real time, allowing for the collection of detailed operational data. The hardware used is a tablet or smartphone, and is equipped with dedicated software that comprehensively captures specific operations.

[1022] emotion recognition

[1023] The emotion engine uses the device's built-in camera and microphone to analyze the facial expressions and tone of voice of factory staff and record emotional data in real time, using emotion recognition APIs such as Microsoft Azure Face API.

[1024] Data transmission and analysis

[1025] The device periodically transmits the recorded operation data and emotion data to a server. The data is transmitted via Wi-Fi or 5G communication networks, and is then received and analyzed by a high-performance server. Advanced data analysis algorithms using tools such as Scikit-learn are used for data analysis.

[1026] Creating a business flow

[1027] The server detects repeated operations and specific patterns from the received operation data and emotion data, and generates a workflow based on them. This workflow is then visually represented, with each step illustrated.

[1028] Creation of business manuals

[1029] The server then creates a detailed business manual based on the generated workflow. This manual includes each operation procedure, important points to note, and conditional branching. Based on the emotion data, it also adds warnings for specific operation steps.

[1030] Development and distribution of automation tools

[1031] The server creates scripts to automate repetitive tasks within the workflow. For example, scripts using Python or JavaScript are generated. The completed automation tool is distributed remotely to the device and automatically executed under specified conditions.

[1032] Specific examples

[1033] In a factory, workers are assembling parts. The system works as follows:

[1034] 1. When staff perform touch operations or keystrokes, the tablet device records these operations in real time.

[1035] 2. Internal cameras and microphones analyze staff facial expressions and tone of voice and record them as emotional data.

[1036] 3. The device transmits the collected operation data and emotion data to the server at regular intervals.

[1037] 4. The server analyzes the received data and generates a workflow. For example, it illustrates steps such as "take out part A," "attach it to part B," "tighten the screws," and "check the finished product."

[1038] 5. Based on the generated workflow, the server creates a business manual that includes warnings for specific operational steps based on the emotion data.

[1039] 6. The server creates scripts to automate repetitive tasks that were previously done manually and distributes them remotely to the devices.

[1040] Prompt Sentence Examples

[1041] "Please automatically generate workflows for factory staff assembling parts, and create detailed operation manuals with additional reminders based on emotion data for specific operation steps. We will provide the following data:

[1042] Operational Data

[1043] Emotional data

[1044] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1045] Step 1:

[1046] The terminal records in real time the touch operations, keystrokes, application switching, etc., performed by factory staff as they perform their work. The input is the factory staff's operation data, and the output is the recorded operation data. This includes the operation of capturing the operation data using dedicated software and saving it to a database.

[1047] Step 2:

[1048] The device uses a built-in camera and microphone to analyze the facial expressions and tone of voice of factory staff in real time and record emotional data. The input is the facial expressions and voice of the factory staff, and the output is the analyzed emotional data. Real-time analysis is performed using an emotion recognition API, and the results are stored in a database.

[1049] Step 3:

[1050] The device periodically transmits the recorded operation data and emotion data to the server. The input is the recorded operation data and emotion data, and the output is the transmitted data. The compressed data is uploaded to the server via Wi-Fi or a 5G communication network.

[1051] Step 4:

[1052] The server analyzes the received operation data and emotion data and generates a workflow. The input is the sent operation data and emotion data, and the output is the generated workflow. Data analysis algorithms are used to detect patterns and generate workflows.

[1053] Step 5:

[1054] The server creates a detailed business manual based on the generated business flow. The input is the generated business flow, and the output is a detailed business manual. This includes the operation of using a document generation tool to create a manual that includes business procedures, points to note, conditional branching, and warnings based on emotion data.

[1055] Step 6:

[1056] The server creates scripts to automate tasks that are repeated in the business flow and distributes them to terminals. The input is the generated business flow and the output is the automation script. This includes creating the automation script using a scripting language and distributing it remotely to terminals.

[1057] Step 7:

[1058] The terminal automatically executes the distributed automation tool under specified conditions. The input is the automation script, and the output is the automatically executed business operation. This includes the operation of executing the script to automate business operations according to the set schedule and conditions.

[1059] 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.

[1060] 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.

[1061] 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.

[1062] [Fourth embodiment]

[1063] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1064] 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.

[1065] 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).

[1066] 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.

[1067] 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.

[1068] 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).

[1069] 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.

[1070] 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.

[1071] 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.

[1072] 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.

[1073] 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.

[1074] 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.

[1075] 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."

[1076] This invention is a system that takes the daily work movements of people as input and creates workflows, manuals, and tools for those work. This system prevents the work from becoming mundane and handovers are missed, and improves the efficiency of the entire work.

[1077] System Configuration

[1078] This system mainly consists of the following three components:

[1079] Terminal: A device that records the actions of a user performing a task.

[1080] Server: A central management device that analyzes recorded data, generates business processes and manuals, and develops and distributes automation tools.

[1081] User: The operator who performs the day-to-day tasks.

[1082] Program processing

[1083] Recording business operations

[1084] The terminals are equipped with dedicated software that records user operations in real time, including keystrokes, mouse clicks, application switching, and website access.

[1085] Data transmission and analysis

[1086] The terminal compresses the operation data collected at regular time intervals and transmits it to the server.

[1087] The server analyzes the received data and executes an algorithm to generate a business flow. From the analysis results, it detects repeated operations and specific patterns and identifies them as a business flow.

[1088] Business flow and manual generation

[1089] The server automatically generates a business flow based on the analysis results, which is visually represented as operation procedures and a process map.

[1090] The server automatically creates a detailed work manual based on the generated work flow. This manual includes operational procedures and important points to note, allowing new staff to quickly understand and carry out their work.

[1091] Development and distribution of automation tools

[1092] The server identifies recurring tasks and simple tasks within the workflow and develops scripts and software to automate them.

[1093] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[1094] The terminal uses the installed automation tool to automatically execute tasks at specified times and under specified conditions, significantly reducing the user's workload and improving work efficiency.

[1095] Specific examples

[1096] For example, in the case of data entry work in the accounting department, the system operates as follows.

[1097] 1. In daily work, users enter data into an Excel spreadsheet and save it.

[1098] 2. Recording software installed on the device captures these operations and records them as data.

[1099] 3. The terminal sends the collected data to the server, which analyzes the data and generates a business flow.

[1100] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to the user or new person in charge.

[1101] 5. The server develops a script that automates data entry operations in Excel and distributes it to the terminals.

[1102] 6. The device periodically runs an automated script to automatically input and save data into an Excel spreadsheet.

[1103] In this way, the present invention can standardize and streamline operations, thereby reducing the workload on users.

[1104] The processing flow will be explained below.

[1105] Step 1:

[1106] The server remotely installs dedicated work observation software on the terminal, which records user operations in real time without requiring external input.

[1107] Step 2:

[1108] Users can carry out their normal tasks, such as entering data into Excel and saving files, without having to worry about special operations or settings.

[1109] Step 3:

[1110] Observation software installed on the device records user actions (keystrokes, mouse clicks, application switching, etc.) in real time.

[1111] Step 4:

[1112] The terminal compresses the recorded data at regular intervals and transmits it to the server. This interval is often set to, for example, every hour.

[1113] Step 5:

[1114] The server runs an algorithm to analyze the received operation data, which analyzes operation patterns and frequencies to identify workflows, specifically detecting repetition of specific key sequences or click patterns.

[1115] Step 6:

[1116] The server automatically generates a workflow based on the analysis results, which is then visually represented with each step illustrated.

[1117] Step 7:

[1118] The server creates a detailed business manual based on the generated business flow, including each operation procedure, important points to note, and conditional branching.

[1119] Step 8:

[1120] The server outputs the created business manual in a digital format (e.g., PDF format) and distributes it to the relevant parties. The manual is also placed on the terminal so that it can be easily referenced.

[1121] Step 9:

[1122] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[1123] Step 10:

[1124] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[1125] Step 11:

[1126] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[1127] Step 12:

[1128] Users can check the results of automated tasks and make adjustments or corrections as necessary, improving work efficiency and reducing the burden on users.

[1129] Example 1

[1130] 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."

[1131] There is a need to prevent the secularization of work and missed handovers, and to improve the efficiency of the entire business. This will require standardization and automation of work, reducing the workload on users.

[1132] 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.

[1133] In this invention, the server includes means for recording user business operations, means for compressing the recorded operation data at regular time intervals and transmitting it to the server, means for analyzing the operation data transmitted to the server and generating a business flow, means for automatically creating a business manual based on the generated business flow, means for identifying recurring tasks and simple operations from the generated business flow and developing an automation tool, means for remotely distributing the developed automation tool to a terminal, and means for executing the tool using the automation tool distributed to the terminal, thereby enabling standardization, efficiency, and automation of business operations.

[1134] A "user" is an operator who performs daily tasks and is the entity that performs business operations in the system.

[1135] A "business operation" is a series of operations such as keystrokes, mouse clicks, application switching, and website access that a user performs to carry out a business operation.

[1136] "Operation data" refers to data such as keystrokes, mouse clicks, application switching, and website accesses recorded when a user performs business operations.

[1137] A "terminal" is a device used by a user to perform business operations, such as a computer or other electronic device that has dedicated software for recording operation data.

[1138] The "server" is a central management device that receives and analyzes operation data sent from terminals, generates business flows and business manuals, and develops and distributes automation tools.

[1139] A "business flow" is a series of steps or process map for business operations that is generated from operation data analyzed by the server.

[1140] A "business manual" is a document that contains detailed operating procedures and important points to note, created based on the business flow generated by the server.

[1141] An "automation tool" is a script or software developed to allow a server to identify recurring tasks or simple operations within a business process and automatically execute them.

[1142] "Remote distribution" refers to the process of remotely transmitting automation tools and other software from a server to a terminal via a network and installing them on the terminal.

[1143] This invention is a system that records and analyzes the daily work operations performed by people to improve the efficiency, standardization, and automation of work. This system is mainly composed of a terminal operated by the user, a server that analyzes the data and generates work flows and manuals, and the users who use them.

[1144] Specifically, when a user performs daily tasks, dedicated recording software is installed on the terminal. This recording software captures all user operations in real time, including keystrokes, mouse clicks, application switching, and website access, and records them as operation data. The operation data is periodically compressed and sent to a server via the Internet.

[1145] The server receives and analyzes this operation data, using a machine learning model written in Python, for example. The server detects repeated operations and specific patterns from the data and generates a business flow. It can also automatically create a detailed business manual based on the generated business flow. The business manual contains specific descriptions of each operation procedure and important points, helping new staff members to quickly understand and carry out their work.

[1146] Furthermore, the server identifies recurring tasks and simple operations from within the business flow and develops scripts and software to automate them. This is done using tools such as RPA (Robotic Process Automation). The developed automation tools are distributed remotely to the terminals and installed on them. The terminals then use these automation tools to automatically execute tasks at specified times and under specified conditions. This significantly reduces the workload on users and dramatically improves work efficiency.

[1147] As a concrete example, consider the daily work of an accounting department. A user enters sales data into an Excel spreadsheet and saves it. Recording software installed on the terminal captures this operation and records it as data. The terminal then sends the collected data to a server, which analyzes it and generates a business flow. The server automatically creates a detailed business manual based on this business flow and distributes it to the user or new person in charge. The server also develops a script to automate the entry of sales data and distributes it remotely to the terminal. The terminal then automatically executes this script at a specified time, enters the data into an Excel spreadsheet, and saves it.

[1148] An example of a prompt to be input to the generative AI model is as follows:

[1149] "Please explain a system that captures and analyzes a user's workflow and provides automated business tools. As a specific example, let's consider the automation of data entry work into Excel in the accounting department."

[1150] In this way, the invention can standardize, streamline and automate business operations, significantly reducing the workload of users.

[1151] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1152] Step 1: Record business operations

[1153] A user operates various applications to perform a task, for example, inputting data into an Excel spreadsheet.

[1154] The device uses dedicated recording software to capture the user's keystrokes, mouse clicks, application switching, website access, and other operations in real time, and records them as operation data.

[1155] Input: User actions (e.g., keystrokes, mouse clicks)

[1156] Output: Captured operation data

[1157] Step 2: Sending operation data

[1158] The terminal compresses the operation data recorded at regular time intervals and transmits it to a server via the Internet.

[1159] Input: Compressed operation data

[1160] Output: Operation data sent to the server

[1161] Specifically, the terminal transmits operation data in batch processing every hour.

[1162] Step 3: Analyzing operational data

[1163] The server runs an algorithm to analyze the received operational data, for example using a machine learning model written in Python.

[1164] Input: Received operation data

[1165] Output: Analysis results (generation of business flow)

[1166] The server detects repeated operations and specific patterns from the data and identifies them as business flows.

[1167] Step 4: Create a workflow

[1168] The server automatically generates a business flow based on the analysis results, which is visually represented as a process map.

[1169] Input: Analysis results

[1170] Output: Generated business flow (process map)

[1171] The workflow is displayed as a series of steps.

[1172] Step 5: Create an operations manual

[1173] The server automatically creates a business manual based on the generated business flow, which includes detailed operating procedures and important points to note.

[1174] Input: Generated workflow

[1175] Output: Detailed business manual

[1176] The business manual will include specific steps such as "Step 1: Select cell A1, Step 2: Enter data."

[1177] Step 6: Developing automation tools

[1178] The server identifies recurring tasks and simple operations within the workflow and develops scripts to automate them.

[1179] Input: Recurring tasks in the workflow

[1180] Output: Automation tools (scripts and software)

[1181] Specifically, we will create a script that uses RPA technology to automate data entry tasks in Excel.

[1182] Step 7: Distributing the automation tool

[1183] The server remotely distributes the developed automation tools to the terminals and installs them.

[1184] Input: Automation tool

[1185] Output: Automation tools installed on the device

[1186] Distribute the tool remotely and install it on the device.

[1187] Step 8: Run the automation tool

[1188] The terminal executes automated tasks at specified times and under specified conditions using the installed automation tools.

[1189] Input: Installed automation tools

[1190] Output: Auto-executed tasks

[1191] Specifically, new data is automatically entered into an Excel sheet and saved at a set time every day.

[1192] Through the above steps, this system achieves standardization, efficiency, and automation of business operations, significantly reducing the workload of users.

[1193] (Application example 1)

[1194] 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."

[1195] In modern factories, when robots perform routine tasks, work efficiency often declines and standardization of tasks becomes difficult. It is also common for the handover of tasks and training of new operators to be time-consuming and costly. Existing systems require a great deal of effort and time to automatically generate workflows, create work manuals, and develop automation tools, preventing sufficient efficiency gains. Furthermore, there are also insufficient systems for monitoring work efficiency and proposing improvements. A system that can overcome these challenges and significantly improve factory operational efficiency is needed.

[1196] 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.

[1197] In this invention, the server includes a means for recording business operations, a means for analyzing the recorded operation data and generating a business flow, a means for creating a business manual based on the generated business flow, a means for automating part of the generated business flow, and a means for monitoring work efficiency and making improvement suggestions. This makes it possible to standardize and streamline work, quickly take over work, simplify the training of new operators, and improve work efficiency throughout the factory.

[1198] A "means for recording business operations" is a device or software that electronically stores the specific operations and work processes performed by a factory robot so that they can be analyzed later.

[1199] "Means for analyzing recorded operation data and generating business flows" refers to a system that processes operation data recorded by robots and operators, and automatically creates optimal work procedures and process maps based on that data.

[1200] "Means for creating a business manual based on a generated business flow" refers to a method or technology for automatically creating a document that details specific operating procedures and important points based on a generated business flow.

[1201] "Means for automating part of the generated business flow" refers to a system that uses programs and scripts to automatically execute repetitive operations and simple tasks.

[1202] "Means for monitoring work efficiency and making improvement suggestions" refers to a technology that continuously observes and analyzes the efficiency of work performed by robots in factories, and makes specific suggestions for improving efficiency based on the results.

[1203] "Means for collecting operation data in real time" refers to a device or software that instantly records all operations performed by a robot or operator and transmits that information to a server in real time.

[1204] "Means for outputting and distributing in digital format" refers to a system for storing automatically generated business manuals in the form of electronic documents and distributing them electronically to users who need them.

[1205] "Means for recording robot operations in factories, generating workflows, and developing and installing automation tools" refers to a technology and method for recording the operations of robots operating in factories, creating workflows based on those operating procedures, and then developing and installing automation programs on the robots.

[1206] This invention is a system that records the work of robots used in factories, analyzes the data, generates a workflow, and ultimately automates some of the work. To achieve this, the system is composed of the following main components:

[1207] System Configuration

[1208] 1. Terminal: The terminal has software installed to record the robot's operations in real time. This software captures and logs the robot's movements and data from sensors.

[1209] 2. Server: The server receives and analyzes operation data sent from the terminal. It generates a business flow based on the received data and automatically creates a business manual based on that business flow. It also develops and distributes tools to automate repetitive operations and simple tasks.

[1210] 3. User: The user is the operator of the factory and the person who carries out the day to day operations.

[1211] Program processing

[1212] In the present invention, the following process is carried out.

[1213] 1. Operation Recording: The recording software installed on the terminal captures the operations performed by the robot in real time. The terminal collects and records keystrokes, operation logs, and robot movement information.

[1214] 2. Data transmission and analysis: The collected operation data is transmitted to the server at regular intervals. The server analyzes the received data and generates a workflow. Data processing techniques and algorithms are used for the analysis to detect specific operation patterns and repetitive actions.

[1215] 3. Generation of Workflows and Manuals: Based on the analysis results, the server automatically generates a workflow. The workflow is visually expressed as operation procedures and flowcharts. A detailed work manual is also automatically created based on the generated workflow, allowing new operators to quickly understand and carry out their work.

[1216] 4. Development and distribution of automation tools: The server identifies repetitive tasks and simple operations from the business flow and develops scripts and software to automate them. The developed automation tools are distributed remotely to the terminals.

[1217] 5. Work efficiency monitoring and improvement suggestions: The server uses the installed automation tools to monitor work efficiency and make suggestions for improving efficiency.

[1218] Hardware and software used

[1219] Hardware: Robots in the factory, terminals for data collection, and a central management server.

[1220] Software: Recording software for data capture, algorithms for data analysis, workflow generation software, scripts for developing automation tools.

[1221] Specific examples

[1222] For example, when a robot inspects product shelves in a factory, its operations are captured by recording software. The collected data is sent to a server, which generates a business flow based on the analysis results and automatically creates a business manual based on that flow. The server then develops a script to automate daily shelf inspections and distributes it to the robot. This allows the robot to automatically inspect shelves every day.

[1223] Prompt Sentence Examples

[1224] Design a system for the accounting department that will input data into an Excel spreadsheet every day, record the operations to save it, automatically generate a business flow based on that, and then create business manuals and automation tools based on this flow. Include a process to save user operation data in JSON format and analyze it on the server.

[1225] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1226] Step 1:

[1227] Operation Record

[1228] The terminal captures the operations performed by the robots in the factory in real time. Specifically, it collects key inputs, signals from sensors, and robot operation data. The input includes data on the operation and control of the robot, which is saved in data storage. The output is an operation log.

[1229] Step 2:

[1230] Sending data

[1231] The terminal sends the collected operation data to the server at regular intervals. The input is the operation log recorded in step 1. This is compressed and sent to the server, and the output is stored on the server.

[1232] Step 3:

[1233] Data analysis

[1234] The server analyzes the received operation data and generates a workflow. The input is the transmitted operation log, which is processed using an analysis algorithm. Specific operation patterns and repetitive actions are detected, and a workflow is generated as the output.

[1235] Step 4:

[1236] Visualizing business flow and creating manuals

[1237] The server creates and visualizes flowcharts and process maps based on the generated business flow. It also automatically generates detailed business manuals. The input is the business flow generated in step 3, and the flowchart and business manual are created based on this. The output is a visual business flowchart and a digital business manual.

[1238] Step 5:

[1239] Development of automation tools

[1240] The server identifies recurring tasks and simple operations from the workflow and develops scripts and software to automate them. The inputs are the workflow and manual obtained in steps 3 and 4. Based on this, an automation script is generated, and the output is an automation tool.

[1241] Step 6:

[1242] Distribution and installation of automation tools

[1243] The server remotely distributes the developed automation tool to the terminal and installs it. The input is the automation tool developed in step 5. It is distributed to the terminal and installed. The output is that the automation tool is installed on the robot and it is ready to use.

[1244] Step 7:

[1245] Work efficiency monitoring and improvement suggestions

[1246] The server continuously monitors work efficiency using the installed automation tools. The inputs are robot work data and performance logs. This is analyzed and specific proposals for improving efficiency are generated. The output is efficiency improvement proposals.

[1247] 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.

[1248] This invention combines a system that takes the actions of everyday work performed by people as input, creates workflows for those work, creates manuals, and develops tools for those work, with an emotion engine that recognizes the user's emotions. This system prevents the work from becoming mundane and handovers are missed, improving the efficiency of the entire work process. Furthermore, by taking the user's emotions into consideration, it is possible to provide a more user-friendly work environment.

[1249] System Configuration

[1250] This system mainly consists of the following four components:

[1251] Terminal: A device that records the user's actions while performing tasks and recognizes the user's emotions.

[1252] Server: A central management device that analyzes recorded data, generates business processes and manuals, and develops and distributes automation tools.

[1253] User: The operator who performs the day-to-day tasks.

[1254] Emotion engine: A device or software that recognizes a user's emotions in real time and collects that data.

[1255] Program processing

[1256] Recording work actions and recognizing emotions

[1257] The device is equipped with dedicated software and an emotion engine that records user operations in real time, including keystrokes, mouse clicks, application switching, and website access.

[1258] The emotion engine analyzes the user's facial expressions and tone of voice to recognize and record emotions in real time.

[1259] Data transmission and analysis

[1260] The device compresses the recorded operation data and emotion data at regular intervals and transmits them to the server. This interval is often set to, for example, every hour.

[1261] The server runs an algorithm to analyze the received operation data and emotion data, and from the analysis results, it detects repeated operations and specific patterns and identifies them as business flows.

[1262] Business flow and manual generation

[1263] The server automatically generates a workflow based on the analysis of the operation data and emotion data. The workflow is visually represented, with each step illustrated.

[1264] The server creates a detailed business manual based on the generated workflow. This manual includes each operation procedure, important points, and conditional branching. It may also add warnings for specific operation steps based on emotion data.

[1265] Development and distribution of automation tools

[1266] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[1267] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[1268] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[1269] Specific examples

[1270] For example, in the case of a customer support department, the system operates as follows:

[1271] 1. In the course of their daily work, users respond to customer inquiries and enter the necessary information into the system.

[1272] 2. Recording software installed on the device captures these operations, and the emotion engine analyzes the user's tone of voice and facial expressions to record emotional data.

[1273] 3. The terminal sends the collected data to the server, which analyzes the data and generates a business flow.

[1274] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to users and new staff members. It also reflects in the manual information such as "inquiries requiring special attention" and "scenarios that cause high customer dissatisfaction" based on the emotional data.

[1275] 5. The server develops scripts that automate customer support template responses and email sending, and distributes them to the devices.

[1276] 6. The device executes the automated script based on the specified conditions, creates and sends a response email.

[1277] In this way, the present invention achieves standardization and efficiency of operations, and by taking into consideration the user's feelings, it is possible to provide customer support with higher levels of customer satisfaction.

[1278] The processing flow will be explained below.

[1279] Business and emotion data processing steps

[1280] Step 1:

[1281] The server remotely installs dedicated work observation software and an emotion engine on the terminal, which records the user's actions and emotions in real time, without requiring external input.

[1282] Step 2:

[1283] Users can carry out their normal tasks, such as entering data into Excel and saving files, without having to worry about special operations or settings.

[1284] Step 3:

[1285] Observation software installed on the device records user actions (keystrokes, mouse clicks, application switching, etc.) in real time. At the same time, an emotion engine analyzes the user's facial expressions and tone of voice to recognize and record emotions in real time.

[1286] Step 4:

[1287] The device compresses the recorded operation data and emotion data at regular intervals and transmits them to the server. This interval is often set to, for example, every hour.

[1288] Step 5:

[1289] The server runs an algorithm to analyze the received operation data and emotion data. This analyzes operation patterns, frequency, and emotional fluctuations to identify workflows. Specifically, it detects recurrence of specific key sequences, click patterns, and frequency of occurrence.

[1290] Step 6:

[1291] The server automatically generates a business flow based on the analysis results, which is visually represented as operation procedures and a process map.

[1292] Step 7:

[1293] The server creates a detailed business manual based on the generated workflow. The manual includes each operation procedure, important points to note, and conditional branching. Based on the emotion data, if a particular step increases the user's stress or anxiety, the manual will include a warning about that point.

[1294] Step 8:

[1295] The server outputs the created business manual in a digital format (e.g., PDF format) and distributes it to the relevant parties. It also stores it on a terminal so that it can be easily referenced.

[1296] Step 9:

[1297] The server identifies repetitive tasks in the workflow and creates scripts and programs to automate those parts, such as a script to automatically enter certain data into specific cells in an Excel spreadsheet.

[1298] Step 10:

[1299] The server remotely distributes the completed automation tool to the terminal, where it is installed.

[1300] Step 11:

[1301] The device automatically executes the installed automation tool according to a specified schedule or condition. For example, it can import Excel data at a set time, format it, and save it automatically.

[1302] Step 12:

[1303] The user can review the results of the automated tasks and make adjustments or corrections as needed. Based on the analysis of emotional data, the impact of a particular automated process on the user is also evaluated, and the automation is adjusted if necessary.

[1304] Specific examples

[1305] For example, in the case of a customer support department, the system operates as follows:

[1306] 1. In the course of their daily work, users respond to customer inquiries and enter the necessary information into the system.

[1307] 2. Recording software installed on the device captures operations, and the emotion engine analyzes the user's tone of voice and facial expressions to record emotional data.

[1308] 3. The device sends the collected data (operation data and emotion data) to the server, which analyzes the data and generates a business flow.

[1309] 4. Based on the analysis results, the server automatically creates a business manual and distributes it to users and new staff members. Based on the emotion data, the manual reflects inquiry scenarios that require attention.

[1310] 5. The server develops scripts that automate customer support template responses and email sending, and distributes them to the devices.

[1311] 6. The device executes the automated script based on the specified conditions, creates and sends a response email.

[1312] In this way, we can standardize and streamline operations, and by taking user feelings into consideration, we can provide customer support that provides higher levels of customer satisfaction.

[1313] Example 2

[1314] 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."

[1315] In modern work, the dependency on individual tasks and missed handovers are major issues. This hinders efficient business operations and ultimately reduces the productivity of the entire organization. Furthermore, business design that ignores user emotions can lead to a poor user experience. Therefore, there is a demand for technology that standardizes tasks, facilitates handover, and provides business flows that take user emotions into consideration.

[1316] 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.

[1317] In this invention, the server includes a means for recording business operations, a means for analyzing the recorded operation data and emotion data to generate a business flow, a means for creating a business manual based on the generated business flow, and a means for collecting user operations and emotions in real time, which makes it possible to standardize and streamline business operations and provide a more user-friendly business environment that takes user emotions into consideration.

[1318] A "means for recording business operations" is a device or software that captures various operations performed by a user (such as keystrokes, mouse clicks, application switching, and website access) in real time.

[1319] The "means for analyzing recorded operation data and emotional data and generating a workflow" refers to an algorithm and analysis system that detects repetitive tasks and specific patterns based on collected operation data and emotional data, and expresses them as a visual workflow.

[1320] The "means for creating a business manual based on the generated business flow" is a system that automatically creates a manual that explains each step of the business flow in detail and includes operating procedures, points to note, conditional branching, and warnings based on emotional data.

[1321] "Means for automating parts of the generated workflow" refers to tools and software that identify repetitive tasks within the workflow and enable them to be performed automatically using scripts or programs.

[1322] "Means for collecting user operations and emotions in real time" refers to a system that uses sensors such as cameras and microphones to collect emotional data in real time by analyzing not only user operations but also facial expressions and tone of voice.

[1323] The "means for compressing at regular intervals and transmitting to a central management device" refers to a function and communication protocol for periodically compressing the collected operation data and emotion data and transmitting it to a server.

[1324] This invention is a system aimed at standardizing work and improving user experience, and functions mainly through cooperation between terminals, servers, and users. This system records the user's work actions, recognizes their emotions, and analyzes this data to automatically generate work flows and work manuals.

[1325] First, the device has dedicated software that records user operations in real time. This software can capture keystrokes, mouse clicks, application switching, website access, and more. Furthermore, the device is equipped with an emotion engine that uses the camera and microphone to analyze the user's facial expressions and tone of voice to collect emotional data. For example, it can capture facial expressions and tone of voice when the user is distressed.

[1326] Next, the device compresses the collected operation data and emotion data at regular intervals (e.g., every hour) and transmits them to the server using a common data compression algorithm and a secure communication protocol.

[1327] The server analyzes the received data. Programming languages ​​such as Python are used for data analysis, and the algorithms are based on machine learning models. The server analyzes the operation data and emotion data to detect repeated operations and specific patterns. This allows a visual workflow to be automatically generated in BPMN (Business Process Model and Notation) format. For example, in the case of a customer support department's response work, the steps to follow in response to a customer inquiry are visually displayed.

[1328] Furthermore, the server creates a detailed business manual based on the generated business flow. This manual includes each operation procedure, points to note, conditional branching, and warnings based on emotion data. For example, information such as "Please be careful as users often have trouble at this step" is added.

[1329] Finally, the server identifies recurring tasks within the business flow and creates scripts and programs to automate those tasks. For example, a script may be generated to automatically enter certain data into specific cells in an Excel spreadsheet. The completed automation tools are then remotely distributed to and installed on the terminals. The terminals then execute these automation tools based on specified conditions and schedules. For example, the server may import Excel data at a set time every day, automatically formatting and saving it.

[1330] Specific prompt examples:

[1331] "Record the workflow of your customer support department, analyze the data with an emotion engine, and generate a work manual based on that data. Also, create an automation script for template responses."

[1332] This system will standardize and streamline operations, and by taking user feelings into consideration, it will provide a more user-friendly work environment.

[1333] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1334] Step 1:

[1335] The device records the user's operations in real time as they perform their work. Special software is installed and captures the keys the user types, mouse clicks, application switching, and website access. The input is a series of user operations, and the output is data on those operations. In addition, the device's built-in emotion engine uses the camera and microphone to analyze the user's facial expressions and tone of voice to generate emotion data. This emotion data is also recorded.

[1336] Step 2:

[1337] The device compresses the operation data and emotion data recorded at regular intervals (for example, every hour) and sends it to the server. The input is the recorded operation data and emotion data, and the output is the compressed data sent to the server. A common data compression algorithm is used to compress the data.

[1338] Step 3:

[1339] The server receives data sent from the device. The input is compressed operation data and emotion data, and the output is decompressed data. The server decompresses the received data and executes an analysis algorithm using a programming language such as Python. The server detects repeated operations and specific patterns and identifies them as a business flow.

[1340] Step 4:

[1341] The server automatically generates a business flow based on the analysis results. The input is the analyzed operation data and emotion data, and the output is a visual representation of the business flow. The business flow is displayed visually in BPMN (Business Process Model and Notation) format. For example, in the case of a customer support department's response work, the procedure for responding to a customer inquiry is visually displayed.

[1342] Step 5:

[1343] The server creates a detailed business manual based on the generated business flow. The input is the generated business flow, and the output is the business manual. This manual includes each operation procedure, points to note, conditional branching, and warnings based on emotion data. For example, information such as "Please be careful as users often have trouble with this step" is added.

[1344] Step 6:

[1345] The server identifies repetitive tasks from within the business flow and creates scripts and programs to automate those parts. The input is the generated business flow and user operation data, and the output is an automation script. For example, a script is generated to automatically enter certain data into specific cells in Excel. The completed automation tool is distributed remotely to the terminal and installed on the terminal.

[1346] Step 7:

[1347] The terminal executes the installed automation tool based on specified conditions and schedules. The input is the automation tool's script and schedule information, and the output is the automated operation results. For example, the operation of importing Excel data at a set time every day, formatting it, and saving it automatically is performed.

[1348] In this way, the present invention realizes standardization and efficiency of work, and by taking into consideration the feelings of the user, it is possible to provide a more user-friendly work environment.

[1349] (Application example 2)

[1350] 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."

[1351] Conventional business record systems only record the operations of a business, and their main purpose is to generate and automate business flows based on those operations. As a result, it is difficult to automate tasks that may cause stress or emotional changes without taking into account the emotions and stress of staff. Another issue is the lack of consideration for the emotions of staff when handing over tasks to new staff.

[1352] 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 recording business operations, means for analyzing the recorded operation data and emotion data and generating a business flow, means for creating a business manual based on the generated business flow, means for automating part of the generated business flow, and means for recognizing and recording emotion data in real time. This makes it possible to provide a more user-friendly and efficient business environment by taking into account changes in stress and emotions of staff members regarding their work.

[1353] "Means for recording business operations" refers to devices or software that record the operations and actions of staff members when performing their work.

[1354] The "means for analyzing the recorded operation data and emotion data and generating a business flow" refers to a device or software that analyzes the acquired operation data and the emotion data of staff members, and abstracts and illustrates the procedures for business operations.

[1355] The "means for creating a business manual based on the generated business flow" refers to a device or software that creates a business manual including specific operating procedures and important points based on the generated business flow.

[1356] A "means for automating a part of the generated workflow" is a device or software that develops and executes scripts or programs to automate specific operations or tasks that are repeated in the workflow.

[1357] "Means for recognizing and recording emotional data in real time" refers to devices or software that analyze the facial expressions and tone of voice of staff members to recognize and record their emotional state in real time.

[1358] "Tablet devices and smartphones" are portable information devices with a variety of functions.

[1359] A "high-performance server" is a computer system that can process a large amount of data at high speed.

[1360] A "data analysis algorithm" is a procedure or calculation method for finding regularities and patterns in data.

[1361] A "scripting language" is a programming language used to automate business processes and write simple processes.

[1362] This invention is a system that integrates operation records and emotion recognition in factory work, automatically generates work flows, creates work manuals, and automates some of the work. This system mainly consists of the following components:

[1363] Devices: Tablets and smartphones operated by factory staff, which record operational and emotional data.

[1364] Server: Analyzes the recorded data, generates business flows and business manuals, and develops automation tools and distributes them to devices.

[1365] Emotion Engine: Software for recognizing and recording user emotions in real time.

[1366] Program processing

[1367] Recording user actions

[1368] The devices record touch operations, keystrokes, application switching, and other actions taken by factory staff in real time, allowing for the collection of detailed operational data. The hardware used is a tablet or smartphone, and is equipped with dedicated software that comprehensively captures specific operations.

[1369] emotion recognition

[1370] The emotion engine uses the device's built-in camera and microphone to analyze the facial expressions and tone of voice of factory staff and record emotional data in real time, using emotion recognition APIs such as Microsoft Azure Face API.

[1371] Data transmission and analysis

[1372] The device periodically transmits the recorded operation data and emotion data to a server. The data is transmitted via Wi-Fi or 5G communication networks, and is then received and analyzed by a high-performance server. Advanced data analysis algorithms using tools such as Scikit-learn are used for data analysis.

[1373] Creating a business flow

[1374] The server detects repeated operations and specific patterns from the received operation data and emotion data, and generates a workflow based on them. This workflow is then visually represented, with each step illustrated.

[1375] Creation of business manuals

[1376] The server then creates a detailed business manual based on the generated workflow. This manual includes each operation procedure, important points to note, and conditional branching. Based on the emotion data, it also adds warnings for specific operation steps.

[1377] Development and distribution of automation tools

[1378] The server creates scripts to automate repetitive tasks within the workflow. For example, scripts using Python or JavaScript are generated. The completed automation tool is distributed remotely to the device and automatically executed under specified conditions.

[1379] Specific examples

[1380] In a factory, workers are assembling parts. The system works as follows:

[1381] 1. When staff perform touch operations or keystrokes, the tablet device records these operations in real time.

[1382] 2. Internal cameras and microphones analyze staff facial expressions and tone of voice and record them as emotional data.

[1383] 3. The device transmits the collected operation data and emotion data to the server at regular intervals.

[1384] 4. The server analyzes the received data and generates a workflow. For example, it illustrates steps such as "take out part A," "attach it to part B," "tighten the screws," and "check the finished product."

[1385] 5. Based on the generated workflow, the server creates a business manual that includes warnings for specific operational steps based on the emotion data.

[1386] 6. The server creates scripts to automate repetitive tasks that were previously done manually and distributes them remotely to the devices.

[1387] Prompt Sentence Examples

[1388] "Please automatically generate workflows for factory staff assembling parts, and create detailed operation manuals with additional reminders based on emotion data for specific operation steps. We will provide the following data:

[1389] Operational Data

[1390] Emotional data

[1391] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1392] Step 1:

[1393] The terminal records in real time the touch operations, keystrokes, application switching, etc., performed by factory staff as they perform their work. The input is the factory staff's operation data, and the output is the recorded operation data. This includes the operation of capturing the operation data using dedicated software and saving it to a database.

[1394] Step 2:

[1395] The device uses a built-in camera and microphone to analyze the facial expressions and tone of voice of factory staff in real time and record emotional data. The input is the facial expressions and voice of the factory staff, and the output is the analyzed emotional data. Real-time analysis is performed using an emotion recognition API, and the results are stored in a database.

[1396] Step 3:

[1397] The device periodically transmits the recorded operation data and emotion data to the server. The input is the recorded operation data and emotion data, and the output is the transmitted data. The compressed data is uploaded to the server via Wi-Fi or a 5G communication network.

[1398] Step 4:

[1399] The server analyzes the received operation data and emotion data and generates a workflow. The input is the sent operation data and emotion data, and the output is the generated workflow. Data analysis algorithms are used to detect patterns and generate workflows.

[1400] Step 5:

[1401] The server creates a detailed business manual based on the generated business flow. The input is the generated business flow, and the output is a detailed business manual. This includes the operation of using a document generation tool to create a manual that includes business procedures, points to note, conditional branching, and warnings based on emotion data.

[1402] Step 6:

[1403] The server creates scripts to automate tasks that are repeated in the business flow and distributes them to terminals. The input is the generated business flow and the output is the automation script. This includes creating the automation script using a scripting language and distributing it remotely to terminals.

[1404] Step 7:

[1405] The terminal automatically executes the distributed automation tool under specified conditions. The input is the automation script, and the output is the automatically executed business operation. This includes the operation of executing the script to automate business operations according to the set schedule and conditions.

[1406] 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.

[1407] 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.

[1408] 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.

[1409] 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.

[1410] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1411] 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.

[1412] 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).

[1413] 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.

[1414] 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."

[1415] 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.

[1416] 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).

[1417] 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.

[1418] 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.

[1419] 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.

[1420] 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.

[1421] 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.

[1422] 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.

[1423] 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.

[1424] 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.

[1425] 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.

[1426] 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.

[1427] The following is further disclosed regarding the above embodiment.

[1428] (Claim 1)

[1429] a means for recording business operations;

[1430] A means for analyzing the recorded operation data and generating a business flow;

[1431] A means for creating a business manual based on the generated business flow;

[1432] A means for automating part of the generated workflow;

[1433] A system including:

[1434] (Claim 2)

[1435] 10. The system of claim 1, further comprising means for collecting operational data in real time.

[1436] (Claim 3)

[1437] 10. The system of claim 1, further comprising means for outputting and distributing the created business manual in a digital format.

[1438] "Example 1"

[1439] (Claim 1)

[1440] A means for recording user business operations;

[1441] a means for compressing the recorded operation data at regular time intervals and transmitting the data to a server;

[1442] A means for analyzing operation data sent to a server and generating a business flow;

[1443] A means for automatically creating a business manual based on the generated business flow;

[1444] A method to identify recurring tasks and simple operations from the generated workflow and develop automation tools.

[1445] A means for remotely distributing the developed automation tool to the device;

[1446] a means for using an automated tool distributed to a terminal and executing the tool;

[1447] A system including:

[1448] (Claim 2)

[1449] 10. The system of claim 1, further comprising means for collecting and recording operational data in real time.

[1450] (Claim 3)

[1451] 10. The system of claim 1, further comprising means for outputting and distributing the created business manual in a digital format.

[1452] "Application Example 1"

[1453] (Claim 1)

[1454] a means for recording business operations;

[1455] A means for analyzing the recorded operation data and generating a business flow;

[1456] A means for creating a business manual based on the generated business flow;

[1457] A means for automating part of the generated workflow;

[1458] A means of monitoring work efficiency and making improvement suggestions;

[1459] A system including:

[1460] (Claim 2)

[1461] 10. The system of claim 1, further comprising means for collecting operational data in real time.

[1462] (Claim 3)

[1463] 10. The system of claim 1, further comprising means for outputting and distributing the created business manual in a digital format.

[1464] (Claim 4)

[1465] 10. The system of claim 1, further comprising means for recording robotic operations in a factory, generating workflows, and developing and installing automation tools.

[1466] "Example 2: Combining Emotion Engines"

[1467] (Claim 1)

[1468] a means for recording business operations;

[1469] A means for analyzing the recorded operation data and emotion data and generating a business flow;

[1470] A means for creating a business manual based on the generated business flow;

[1471] A means for automating part of the generated workflow;

[1472] A system that includes a means for collecting user actions and emotions in real time.

[1473] (Claim 2)

[1474] 10. The system of claim 1, further comprising means for outputting and distributing the created business manual in a digital format.

[1475] (Claim 3)

[1476] 10. The system of claim 1, further comprising: means for compressing the recorded operation data and emotion data at regular intervals and transmitting the compressed data to a central management device.

[1477] "Application example 2 when combining emotion engines"

[1478] (Claim 1)

[1479] a means for recording business operations;

[1480] A means for analyzing the recorded operation data and emotion data and generating a business flow;

[1481] A means for creating a business manual based on the generated business flow;

[1482] A means for automating part of the generated workflow;

[1483] A means of recognizing and recording emotion data in real time;

[1484] A system including:

[1485] (Claim 2)

[1486] 10. The system of claim 1, further comprising means for collecting operational data and emotional data in real time.

[1487] (Claim 3)

[1488] 10. The system of claim 1, further comprising means for outputting and distributing the created business manual in a digital format. [Explanation of symbols]

[1489] 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 recording business operations; A means for analyzing the recorded operation data and generating a business flow; A means for creating a business manual based on the generated business flow; A means for automating part of the generated workflow; A system including:

2. The system of claim 1 further comprising means for collecting operational data in real time.

3. 10. The system according to claim 1, further comprising means for outputting and distributing the created business manual in a digital format.

Images