System

Abstract

To provide a system capable of expecting an effect of strengthening knowledge assets of the whole organization by quickly adapting a new employee to a job.SOLUTION: A system comprising: means for a new employee to log in and enter basic information; means for a server to store the new employee's information in a database; means for an administrator to set up meetings with the new employee and register in a calendar; means for sending reminder notifications to the new employee for meetings; means for recording skills and learning needs of the new employee in an initial meeting; means for generating a customized educational program for the new employee using a generated AI model; means for the new employee to access the educational program and begin learning; means for recording and evaluating the new employee's learning progress in real-time; and means for providing additional learning resources and support information to the administrator and the new employee.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In today's business environment, keeping up with rapid technological advances requires that new employees quickly become proficient in their work and be able to contribute immediately. It is also important that all organizational members, including existing employees, effectively utilize AI to improve the productivity and competitiveness of the entire organization. However, challenges exist, such as insufficient support systems for new employees to learn and adapt to AI from scratch, and uniform training programs that make it difficult to customize to meet individual needs. [Means for solving the problem]

[0005] This invention proposes a system that provides a customizable training program for all members of an organization, utilizing AI and enabling new employees, in particular, to learn AI from scratch. Specifically, the system includes a means for new employees to log in and enter their basic information, which is then stored in a database by a server; a means for managers to schedule meetings with new employees and register them in their calendars; a means for sending reminders before the meeting; a means for recording the new employee's skills and learning needs during the initial meeting; a means for generating a customized training program for new employees using a generative AI model; a means for new employees to access the training program and begin learning; a means for recording and evaluating learning progress in real time; and a means for providing additional learning resources and support information to managers and new employees. The system also includes a means for the generative AI model to automatically update the training program based on the new employee's learning progress and a means for providing regular training information and support materials to all employees. This is expected to help new employees quickly adapt to their work and strengthen the organization's overall knowledge assets.

[0006] A "new employee" refers to an employee who has recently joined an organization and who has inexperienced knowledge and skills related to work or technology.

[0007] A "server" is a computer system that provides a specific service, and in the present invention refers to a device that manages information about new employees and generates and distributes training programs.

[0008] A "terminal" is a computer system or device that is directly operated by a user and has functions such as displaying a screen, inputting data, and sending notifications.

[0009] "Administrator" refers to the person in charge of training new employees and running educational programs within an organization.

[0010] "Basic information" refers to the initial personal information required by the system, such as the new employee's name, department, position, and skill level.

[0011] A "database" refers to a system that stores information systematically and allows it to be searched and accessed as needed.

[0012] A "calendar" is a system for managing schedules and events, and has the function of registering and displaying dates for meetings and other events.

[0013] "Reminder Notification" refers to a notification sent to remind a user of a particular event or action.

[0014] An "initial meeting" is the first meeting a new employee has with their manager after joining the company, to identify skills and learning needs.

[0015] "Skills" refers to the technical and business abilities of new hires.

[0016] "Learning needs" refers to the type of education and training required for new employees to adapt to the job.

[0017] A "generative AI model" refers to an algorithm that generates specific outputs from data based on artificial intelligence. In this context, it plays a role in generating customized educational programs.

[0018] "Educational Program" refers to the curriculum and materials provided to new employees to help them acquire specific skills and knowledge.

[0019] "Learning progress" refers to the progress that new employees make through an educational program, showing how much knowledge and skills they have acquired.

[0020] "Support information" refers to assistance information provided when a user encounters difficulties with the system or learning.

[0021] "Training Information" refers to information about training and workshops conducted within an organization. [Brief explanation of the drawings]

[0022] [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

[0023] 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.

[0024] First, the terms used in the following description will be explained.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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."

[0030] [First embodiment]

[0031] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0032] 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.

[0033] 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).

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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."

[0043] This invention is a system that enables all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. This system involves inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, and managing and providing feedback on learning progress.

[0044] System program and processing overview

[0045] The program of this system is configured as follows:

[0046] 1. New employee registration:

[0047] A user (new employee) logs in to the system and enters basic information, including name, department, position, and skill level.

[0048] The server receives the information entered by the new employee and stores it in a database.

[0049] The device will display a "Registration Complete" notification.

[0050] 2. Initial Meeting Setup:

[0051] The user (administrator) logs in to the system and schedules an initial meeting with the new employee. The user enters the date, time, and details of the meeting.

[0052] The server saves the meeting schedule and registers it in the calendar.

[0053] The device sends a reminder to the new employee the day before the meeting.

[0054] 3. Understanding the basics:

[0055] Users (new employees and managers) meet to discuss the new employees' skills and learning needs.

[0056] The server records the information from the meeting and adds it to the new employee's profile.

[0057] 4. Generating educational programs:

[0058] The server analyzes the basic knowledge and learning needs of new employees and inputs them into a generative AI model.

[0059] The server generates a customized educational program from the generated AI model, including learning items, study period, and progress check tests.

[0060] The device will then inform the new hire of the details of their customized training program and how to access it.

[0061] 5. Learning and Progress Management:

[0062] The user (new employee) accesses the notified educational program and begins learning.

[0063] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[0064] The server periodically evaluates learning progress and automatically generates progress check tests.

[0065] The device presents a progress check test and notifies the new employee of the results.

[0066] 6. Ongoing support and recognition:

[0067] The server generates the latest training information and supporting materials and provides them to all employees.

[0068] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[0069] The device will notify you of updated educational programs and additional learning resources.

[0070] The device receives support requests for learning questions or issues and responds automatically or escalates to an administrator.

[0071] Specific examples

[0072] Example: New employee A

[0073] 1. New employee registration:

[0074] New employee A logs in to the system and enters basic information (name, department, position, skill level, etc.).

[0075] The server saves the information of new employee A in the database.

[0076] The device will display a "Registration Complete" notification.

[0077] 2. Initial Meeting Setup:

[0078] The manager schedules an initial meeting with new employee A and registers it on the calendar.

[0079] The device sends a reminder to new employee A the day before the meeting.

[0080] 3. Understanding the basics:

[0081] New employee A and a manager have an initial meeting to discuss the skills and learning needs of new employee A. For example, new employee A has basic knowledge of Python and wants to learn data analysis.

[0082] The server records the meeting information and adds it to New Employee A's profile.

[0083] 4. Generating educational programs:

[0084] The server analyzes the information of new employee A and uses a generative AI model to generate a customized training program, such as "Python Basics," "Introduction to Data Analysis," "One-month study period," and "Weekly progress check tests."

[0085] The device notifies new employee A of the details of the training program and how to access it.

[0086] 5. Learning and Progress Management:

[0087] New employee A accesses the educational program and begins learning.

[0088] The server records the learning progress of new employee A in real time.

[0089] The server automatically generates progress check tests and evaluates learning progress based on the results.

[0090] The terminal notifies new employee A of the test results.

[0091] 6. Ongoing support and recognition:

[0092] The server provides the latest training information and supporting materials to the entire organization.

[0093] The server analyzes the learning progress of new employee A and updates the training program as necessary.

[0094] Your device will notify you of updates and additional learning resources.

[0095] The device receives the support request and escalates it to an automated response or administrator.

[0096] In this way, this invention is a system that helps new employees quickly acquire AI knowledge and adapt to their work, thereby increasing the productivity and competitiveness of the entire organization. Furthermore, by providing regular training and support not only to new employees but also to existing employees, the knowledge assets of the entire organization are strengthened.

[0097] The processing flow will be explained below.

[0098] Step 1:

[0099] New employee registration

[0100] A user (new employee) logs in to the system and enters basic information (name, department, position, skill level, etc.).

[0101] The server receives the information entered by the new employee and stores it in a database.

[0102] The device will display a "Registration Complete" notification.

[0103] Step 2:

[0104] Initial Meeting Setup

[0105] The user (administrator) logs in to the system and sets up an initial meeting with a new employee. Specifically, the user enters the date, time, location, and participant information of the meeting.

[0106] The server stores the meeting information and registers it in the calendar.

[0107] The device sends a reminder to the new employee the day before the meeting.

[0108] Step 3:

[0109] Understanding the basics

[0110] Users (new employees and managers) hold an initial meeting. The manager asks the new employee questions about their skills and learning needs and listens to their responses.

[0111] The server records the information obtained during the meeting (the new employee's skills, interests, and learning needs) and adds it to the new employee's profile.

[0112] Step 4:

[0113] Educational program generation

[0114] The server analyzes the recorded information of new employees and inputs the data into a generative AI model.

[0115] The server uses the generative AI model to generate a customized training program for new employees, including learning topics, study period, and progress check tests.

[0116] The device informs new employees about the training program and how to access it.

[0117] Step 5:

[0118] Learning and progress management

[0119] The user (new employee) accesses the notified educational program and begins learning.

[0120] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[0121] The server periodically evaluates learning progress and automatically generates progress check tests.

[0122] The device provides new employees with a progress check test and notifies them of the results.

[0123] Step 6:

[0124] Ongoing support and evaluation

[0125] The server generates the latest training information and supporting materials and provides them to all employees.

[0126] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[0127] The device notifies new employees of updated educational programs and additional learning resources.

[0128] The device receives support requests from new employees and automatically responds or escalates them to an administrator.

[0129] In this way, specific actions are implemented at each step, creating a system that allows new employees to learn effectively through the training program.

[0130] Example 1

[0131] 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."

[0132] Traditional training systems lack the support required for new employees to effectively acquire AI knowledge and quickly adapt to their work. It also makes it difficult for existing employees to continuously improve their skills and manage their learning progress. This can lead to a decline in productivity across the organization and potentially affect a company's competitiveness.

[0133] 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.

[0134] In this invention, the server includes: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a customized training program for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; a means for automatically generating a progress check test based on the new employee's skills and needs; and a means for analyzing the new employee's learning progress data and continuously updating the training program. This enables new employees to quickly and effectively acquire AI knowledge and improves the productivity and competitiveness of the entire organization.

[0135] 1. "Login" means the process by which a user is authenticated by entering credentials to access a system.

[0136] 2. "Basic information" refers to personal information such as name, department, position, and skill level that new employees enter into the system.

[0137] 3. A "database" is a system for efficiently storing, managing, and searching information.

[0138] 4. "Calendar" means a tool or system for registering and managing schedules and events.

[0139] 5. "Reminder Notification" means a notification sent before a scheduled event or task.

[0140] 6. An “initial meeting” is the first interview or meeting between a new employee and a manager to understand the new employee’s skills and learning needs.

[0141] 7. "Skills" are specific knowledge and technical abilities that new employees possess.

[0142] 8. "Learning needs" are the knowledge and skill requirements that new employees must acquire.

[0143] 9. A “generative AI model” is an artificial intelligence model that is trained to perform a specific task based on input data.

[0144] 10. "Customized Education Program" means a learning plan specifically designed based on the skills and learning needs of a new employee.

[0145] 11. "Learning Progress" is information about how well a new employee progresses through each stage of the training program.

[0146] 12. "Real-time recording and evaluation" is the process of instantly recording and evaluating ongoing information.

[0147] 13. “Additional Learning Resources” means supplementary learning materials or materials provided to new hires to further their learning.

[0148] 14. "Support Information" means information provided to assist with learning or work.

[0149] 15. "Progress Test" means a test administered periodically to assess a new employee's learning progress.

[0150] 16. "Analyzing learning progress data" is the process of analyzing data on new employees' learning progress and creating future learning plans.

[0151] 17. "Updating an educational program" means changing or improving an existing educational program based on new information or requirements.

[0152] This invention is a system that allows all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. This system involves inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, and managing and providing feedback on learning progress. Specific implementation methods are shown below.

[0153] First, the user (new employee) logs in to the system and enters basic information about the new employee. This basic information includes name, department, position, skill level, etc. The server receives this information and stores it in the database. The terminal displays a notification that "Registration Complete."

[0154] Next, the user (administrator) logs in to the system and schedules an initial meeting with the new employee. The date, time, and details of the meeting are entered, and the server saves the meeting schedule and registers it in the calendar. The terminal then sends a reminder to the new employee the day before the meeting.

[0155] In the initial meeting, users (new employee and manager) discuss the new employee's skills and learning needs. For example, if the new employee has basic knowledge of Python and wants to learn data analysis, the manager records this information in the system. The server receives the meeting information and adds it to the new employee's profile.

[0156] Next, the server analyzes the new employee's basic knowledge and learning needs and inputs them into the generative AI model. This process includes generating prompts using the generative AI model, such as "Please generate an educational program based on new employee B's basic knowledge and learning needs." The server then generates a customized educational program from the generative AI model and notifies the device of the details. The program includes learning items, learning period, progress check tests, etc.

[0157] The user (new employee) receives the notification and accesses the educational program to begin learning. The server records the new employee's learning progress in real time. Each time the new employee completes a learning module, the progress information is sent to the server and stored in a database. The server also automatically generates a progress check test and evaluates the new employee's learning progress based on the results. The terminal notifies the new employee of the test results.

[0158] The server generates the latest training information and supporting materials as ongoing support and provides them to the entire organization. Furthermore, the server analyzes new employees' learning progress data and updates the training program as needed. Updated content and additional learning resources are notified to new employees via their devices. If new employees need support during their training, the devices receive support requests and automatically respond or escalate them to an administrator.

[0159] The system enables new employees to quickly and effectively acquire AI knowledge, improving productivity and competitiveness across the organization, while also providing regular training and additional support to existing employees, thereby raising the level of knowledge across the organization.

[0160] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0161] Step 1:

[0162] New employees log in and enter their basic information

[0163] A user (new employee) accesses the system's login screen and logs in by entering authentication information (user ID and password). After logging in, a form for entering basic information (name, department, position, skill level, etc.) is displayed. The user enters the basic information and presses the submit button.

[0164] Input: User ID, password, name, department, position, skill level

[0165] Output: Basic information sent to the system

[0166] Specific behavior: The form input is sent to the server.

[0167] Step 2:

[0168] The server receives the new employee information and stores it in the database.

[0169] The server receives the basic information sent by the user and stores it in a database, for example by performing an INSERT operation using an SQL statement.

[0170] Input: Basic information (name, department, position, skill level)

[0171] Output: User information is saved in the database

[0172] Specific operation: The server converts the received data into the appropriate format and performs an INSERT operation on the database.

[0173] Step 3:

[0174] The device displays a "Registration complete" notification

[0175] The server confirms that the data has been saved to the database and sends an instruction to display a "Registration Complete" notification on the terminal.

[0176] Input: Notification of completion of saving to database

[0177] Output: A "Registration complete" notification will appear on your device.

[0178] Specific behavior: The device displays a message to the user indicating that the save was successful.

[0179] Step 4:

[0180] Managers schedule initial meetings with new employees and register them on the calendar

[0181] A user (administrator) logs into the system and enters the date, time, and details of an initial meeting with a new employee. When the administrator presses the "Book" button, the server saves the meeting schedule in the database and synchronizes it with the calendar system.

[0182] Input: Meeting date and time, details

[0183] Output: A meeting is added to the calendar.

[0184] Specific operation: The server saves the input information in a database and synchronizes it using the calendar API.

[0185] Step 5:

[0186] The device will send a reminder the day before the meeting

[0187] The day before the meeting, the server generates a reminder notification and instructs the terminal to send the notification.

[0188] Input: Meeting Schedule Information

[0189] Output: A reminder notification is displayed on the new employee's device.

[0190] Specific behavior: The device displays a reminder notification to the new employee.

[0191] Step 6:

[0192] Record new hires' skills and learning needs during initial meetings

[0193] Users (new hires and managers) hold an initial meeting to discuss the new hire's skills and learning needs, which the manager then manually enters into the system.

[0194] Input: New employee skills and learning needs

[0195] Output: Meeting information is saved to the database

[0196] Specific operation: The administrator enters the details of the discussion into the system, and the server stores it in the database.

[0197] Step 7:

[0198] The server analyzes the new employee's information and inputs it into the generative AI model.

[0199] The server passes the new employee's basic information and meeting information to the data analysis engine for analysis, and inputs prompt statements into the generative AI model based on the analysis results.

[0200] Input: Basic information of new employee, meeting information

[0201] Output: The prompt sentence that is fed into the generative AI model

[0202] Specific operation: The server generates a prompt sentence based on the analysis results and inputs it into the generative AI model.

[0203] Step 8:

[0204] The server generates a customized educational program using the generative AI model.

[0205] The generative AI model generates a customized educational program based on the prompt sentence, and the server receives the results, including learning items, learning period, and progress check tests.

[0206] Input: prompt statement

[0207] Output: Customized educational program

[0208] Specific operation: The generative AI model generates a training program, which is received by the server and stored in a database.

[0209] Step 9:

[0210] The device displays the details of the educational program.

[0211] The server sends a notification containing details of the generated training program to the terminal, which displays it to the new employee.

[0212] Input: Educational program details

[0213] Output: Details of the training program are displayed on the new employee's terminal.

[0214] Specific behavior: The device displays an access link and detailed information about the educational program.

[0215] Step 10:

[0216] New employees access educational programs and begin learning

[0217] The user (new employee) receives a notification, accesses the educational program, and begins learning, progressing through each learning module and completing assignments and tests.

[0218] Input: Educational program access link

[0219] Output: Learning progress data

[0220] Specific behavior: New employees access educational programs and learn.

[0221] Step 11:

[0222] The server records your learning progress in real time

[0223] As new employees complete each module, their progress data is sent to a server and recorded in a database.

[0224] Input: Learning progress information

[0225] Output: Progress data stored in a database

[0226] What it does: The server receives progress data in real time and records it in a database.

[0227] Step 12:

[0228] The server automatically generates progress check tests and provides them to new employees.

[0229] The server automatically generates a progress check test based on the learning progress and provides the test to the new employee.

[0230] Input: Learning progress data

[0231] Output: Auto-generated progress test

[0232] Specific operation: A generative AI model is used to generate progress check tests and provide them to new employees.

[0233] Step 13:

[0234] The device will notify you of the test results.

[0235] Once the new employee has completed the test, the results are sent to the server, which evaluates them and sends the results to the terminal to notify the new employee.

[0236] Input: Test result data

[0237] Output: Notification of evaluation results

[0238] Specific operation: The server evaluates the test results and notifies the new employee of the evaluation results.

[0239] Step 14:

[0240] The server provides the latest training information and supporting materials

[0241] For ongoing support, the server uses generative AI models to generate up-to-date training information and supporting materials, which are then distributed across the organization.

[0242] Input: Required training information and supporting materials

[0243] Output: Latest training information and supporting materials

[0244] What it does: Uses a generative AI model to generate new training materials and provide them to all employees.

[0245] Step 15:

[0246] The server analyzes the learning progress data and updates the educational program.

[0247] The server analyzes the learning progress data of new employees and updates the training program as necessary.

[0248] Input: Learning progress data

[0249] Output: Updated educational program

[0250] Specific operation: The server reviews the educational program based on the learning progress data and updates it as necessary.

[0251] Step 16:

[0252] The device will notify you of updated educational programs

[0253] The server transmits updated contents of the training program to the terminal, and the terminal notifies the new employee of the contents.

[0254] Input: Updated educational program information

[0255] Output: Updates notified to new employees

[0256] What it does: Your device will display updates and new learning resources.

[0257] Step 17:

[0258] The device receives a support request

[0259] If a new employee needs help during their learning, they can fill out and submit a support request form on their device.

[0260] Input: Support Request

[0261] Output: A support request is sent to the server

[0262] Specific operation: The device manages support requests and sends them to the server.

[0263] Step 18:

[0264] Escalate support requests to an automated response or administrator

[0265] When a support request is received, the server displays a pre-defined FAQ response or escalates it to an administrator if a response is required.

[0266] Input: Support Request

[0267] Output: Response message or escalation notification

[0268] Specific action: The server will either issue an automatic response or send an escalation notification to the administrator.

[0269] (Application example 1)

[0270] 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."

[0271] The challenge for new employees at logistics facilities is to quickly adapt to their work and acquire skills. Conventional training methods make it difficult for new employees to effectively learn logistics work, so the introduction of an efficient training system is required.

[0272] 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.

[0273] In this invention, the server includes: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a customized training program for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; and a means for an autonomous robot to guide the new employee through the logistics facility and explain the work process. This enables the new employee to effectively learn the basics of logistics work and quickly adapt to the field.

[0274] A "new employee" is an employee who has been newly hired by a company or organization.

[0275] "Logging in" is the process by which a user authenticates by entering authentication information to access a system.

[0276] "Basic information" refers to basic data about a user, such as the individual's name, department, and skill level.

[0277] A "server" is a computer system that stores and processes data on a network.

[0278] A "database" is an organized collection of data for efficiently storing, managing, and retrieving information.

[0279] An "administrator" is a person in charge of managing systems and business processes.

[0280] A "meeting" is a gathering of multiple people to share information and hold discussions.

[0281] A "calendar" is a tool for managing date and time information.

[0282] A "notification" is a message intended to inform the user of specific information.

[0283] An "initial meeting" is a new employee's first meeting with their manager.

[0284] A "skill" is the ability to perform a specific job or task.

[0285] "Learning needs" are the learning goals that individuals want to achieve and the knowledge and skills they want to acquire.

[0286] A "generative AI model" is an artificial intelligence model that is generated based on machine learning or deep learning.

[0287] A "customized educational program" is a learning plan designed to meet individual needs.

[0288] "Access" means performing operations such as reading and writing on a system or data.

[0289] "Study progress" refers to the progress and level of achievement in learning.

[0290] "Real-time" means that processing and updates are done immediately, without delay.

[0291] "Evaluation" is the process of determining and evaluating learning outcomes and progress.

[0292] "Additional learning resources" are supplementary materials or information provided in addition to existing learning materials.

[0293] "Support information" is information that supports learning and work execution.

[0294] An "autonomous robot" is a robot that can act and make decisions on its own without human intervention.

[0295] A "logistics facility" is a place where operations such as the storage, management, and transportation of goods are carried out.

[0296] "Guiding" means providing guidance and explanations.

[0297] A "business process" is a series of steps or procedures for carrying out a specific business operation.

[0298] This invention is a system for enabling new employees at logistics facilities to efficiently learn and quickly adapt to their work. The system's components include a means for new employees to input information, a means for generating a customized training program using a generative AI model, and a means for an autonomous robot to guide new employees through the logistics facility and explain the work process.

[0299] System program and processing overview

[0300] New employee registration

[0301] Users (new employees) log in to the system using a dedicated tablet device and enter basic information, such as their name, department, and skill level.

[0302] The server receives the information entered by the new employee and stores it in a database, which is used in subsequent processes.

[0303] Initial Meeting Setup

[0304] The user (administrator) logs in to the server and schedules an initial meeting with the new employee. The user registers the date, time, and details of the meeting in the calendar.

[0305] The server stores the meeting schedule and sends a reminder to the new employee the day before the meeting.

[0306] Understanding the basics

[0307] Users (new employee and manager) meet to discuss the new employee's skills and learning needs, and this information is recorded by the server and added to the new employee's profile.

[0308] Educational program generation

[0309] The server analyzes the basic knowledge and learning needs of new employees and uses a generative AI model to generate a customized training program, including learning items, study period, and progress check tests.

[0310] The server notifies the new employee of the details of the training program and how to access it.

[0311] Learning and progress management

[0312] New employees access the received educational program and begin learning.

[0313] The server records the learning progress of new employees in real time, evaluates them according to their progress, and periodically generates progress check tests and notifies the results to new employees.

[0314] Autonomous robotic guidance

[0315] The autonomous robot guides new employees through the logistics facility, explaining each process. The robot follows a pre-programmed route and provides detailed explanations at key operational points.

[0316] Ongoing support and evaluation

[0317] The server generates the latest training information and supporting materials and provides them to all employees. It also analyzes the learning progress and performance of new employees and updates the training program as needed.

[0318] The tablet notifies users of updated educational programs and additional learning resources, and also receives support requests, which are automatically responded to or escalated to an administrator.

[0319] Specific examples

[0320] For example, suppose that in order for new employee B to effectively learn work at a logistics facility, he or she is required to have basic skills in Python and data analysis at the initial meeting, and additional knowledge of robot operation is required. In this case, the training program would include "Python Basics," "Introduction to Data Analysis," and "Robot Operation," with periodic progress check tests.

[0321] Examples of prompts for AI models

[0322] Based on the profile of new employee B, please create a customized training program that covers the skill set required in a logistics facility. B has basic knowledge of logistics operations and would like to strengthen his robot operation skills. The program should include a one-month learning plan, including weekly progress check tests. Please provide details, including specific learning items, duration, and evaluation method.

[0323] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0324] Step 1:

[0325] Users (new employees) log in to the system using a dedicated tablet device and enter basic information (such as name, department, skill level, etc.) The entered information is sent to the server.

[0326] Input: Basic information about the new employee.

[0327] Output: Basic information is saved in the database.

[0328] How it works: When a user enters information into a form on a tablet and hits the submit button, the server stores this information in a database.

[0329] Step 2:

[0330] The server stores the received information about the new employee in a database.

[0331] Input: Basic information entered by the new hire.

[0332] Output: New employee information recorded in the database.

[0333] How it works: The server calls the database save API to persist the information.

[0334] Step 3:

[0335] The user (administrator) logs in to the server and schedules an initial meeting with a new employee. The user enters the date, time, and details of the meeting and registers it in the calendar.

[0336] Input: Initial meeting date, time and details.

[0337] Output: Meeting information registered in the calendar.

[0338] How it works: Administrators enter meeting information through a web interface, and the server registers it in the calendar.

[0339] Step 4:

[0340] The server stores the meeting schedule and sends a reminder to the new employee the day before the meeting.

[0341] Input: Schedule initial meeting.

[0342] Output: Reminder notification sent to new employee.

[0343] How it works: The server generates reminders based on schedule information and sends them using the notification API.

[0344] Step 5:

[0345] Users (new employees and managers) hold an initial meeting to discuss the new employee's skills and learning needs, and this information is recorded by the server.

[0346] Input: New employee skills and learning needs.

[0347] Output: Recorded new employee skill profile.

[0348] How it works: The administrator enters what was discussed during the meeting, and the server stores it in a profile.

[0349] Step 6:

[0350] The server analyzes the basic knowledge and learning needs of new employees and generates a customized training program using a generative AI model.

[0351] Input: New employee skill profile.

[0352] Output: A customized educational program.

[0353] How it works: The server inputs profile information into the AI ​​model and formats the generated learning plan as a program.

[0354] Step 7:

[0355] The server notifies the new employee of the details of the training program and how to access it.

[0356] Enter: customized educational programs.

[0357] Output: Detailed notification of educational program.

[0358] How it works: The server uses the Notification API to send details of the training program to the new employee's tablet.

[0359] Step 8:

[0360] New employees access the received educational program and begin learning.

[0361] Enter: Educational Programs.

[0362] Output: Learning progress data.

[0363] Operation: A new employee accesses the training program and progresses through the learning content. Their progress is sent to the server.

[0364] Step 9:

[0365] The server records the learning progress of new employees in real time, evaluates them according to their progress, and periodically generates progress check tests and notifies the results to new employees.

[0366] Input: Learning progress data.

[0367] Output: Progress assessment and confirmation test results.

[0368] How it works: The server analyzes learning progress data, generates tests based on the progress using an AI model, and notifies the user of progress evaluation and test results.

[0369] Step 10:

[0370] The autonomous robot guides new employees through the logistics facility and explains each work process.

[0371] Input: Preset guide program.

[0372] Output: Job explanation for new employees.

[0373] How it works: The robot follows a pre-defined route, explaining the business process at key points.

[0374] Step 11:

[0375] The server generates the latest training information and supporting materials and provides them to all employees. It also analyzes the learning progress and performance of new employees and updates the training program as needed.

[0376] Input: Latest training data and learning progress data.

[0377] Output: Updated educational program and supporting materials.

[0378] How it works: The server collects training information and uses AI models to analyze, update, and inform educational programs and supporting materials.

[0379] Step 12:

[0380] The tablet notifies users of updated educational programs and additional learning resources, and also receives support requests, which are automatically responded to or escalated to an administrator.

[0381] Input: Updated education programs and support requests.

[0382] Output: Notification and support response.

[0383] What it does: The tablet notifies you of updates and processes and responds to support requests, or escalates them to an administrator as needed.

[0384] 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.

[0385] This invention is a system that enables all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. It also incorporates an emotion engine that recognizes user emotions to maximize the effectiveness of training programs. This system includes inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, managing and providing feedback on learning progress, and recognizing and providing feedback on emotions.

[0386] System program and processing overview

[0387] The program of this system is configured as follows:

[0388] 1. New employee registration:

[0389] A user (new employee) logs in to the system and enters basic information (name, department, position, skill level, etc.).

[0390] The server receives the information entered by the new employee and stores it in a database.

[0391] The device will display a "Registration Complete" notification.

[0392] 2. Initial Meeting Setup:

[0393] The user (administrator) logs in to the system and sets up an initial meeting with a new employee. Specifically, the user enters the date, time, location, and participant information of the meeting.

[0394] The server stores the meeting information and registers it in the calendar.

[0395] The device sends a reminder to the new employee the day before the meeting.

[0396] 3. Basic knowledge comprehension and emotion recognition:

[0397] Users (new employees and managers) hold an initial meeting, where the manager asks the new employee questions about their skills and learning needs and listens to their responses.

[0398] The device uses an emotion engine to detect the new employee's emotional state (e.g., nervousness, anxiety, confidence, etc.) in real time and records the data.

[0399] The server records information gathered during the meeting (the new hire's skills, interests, learning needs, and emotional state) and adds it to the new hire's profile.

[0400] 4. Generating educational programs:

[0401] The server analyzes the recorded information of new employees and inputs the data into a generative AI model.

[0402] The server uses the generative AI model to generate a customized training program for new employees, including learning topics, study period, and progress check tests.

[0403] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[0404] The device informs new employees about the training program and how to access it.

[0405] 5. Learning and Progress Management:

[0406] The user (new employee) accesses the notified educational program and begins learning.

[0407] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[0408] The server periodically evaluates learning progress and automatically generates progress check tests.

[0409] The device provides new employees with a progress check test and notifies them of the results.

[0410] The device monitors the user's emotional state (e.g., confusion, fatigue) during learning and provides feedback and assistance based on that.

[0411] 6. Ongoing support and recognition:

[0412] The server generates the latest training information and supporting materials and provides them to all employees.

[0413] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[0414] The device notifies new employees of updated educational programs and additional learning resources.

[0415] The terminal receives support requests (questions and problems) from new employees and automatically responds or escalates them to an administrator.

[0416] Specific examples

[0417] Example: New employee A

[0418] 1. New employee registration:

[0419] New employee A logs in to the system and enters basic information (name, department, position, skill level, etc.).

[0420] The server saves the information of new employee A in the database.

[0421] The device will display a "Registration Complete" notification.

[0422] 2. Initial Meeting Setup:

[0423] The manager schedules an initial meeting with new employee A and registers it on the calendar.

[0424] The device sends a reminder to new employee A the day before the meeting.

[0425] 3. Basic knowledge comprehension and emotion recognition:

[0426] New employee A and the manager have an initial meeting to discuss New employee A's skills and learning needs. The manager asks questions and New employee A answers them.

[0427] The terminal uses an emotion engine to detect the emotional state (e.g., tension or anxiety) of new employee A in real time.

[0428] The server adds the recorded information and emotional state to New Hire A's profile.

[0429] 4. Generating educational programs:

[0430] The server analyzes the information of new employee A and generates a customized training program using a generative AI model. The program includes topics such as "Python Basics," "Introduction to Data Analysis," and "One-Month Learning Period."

[0431] The server takes emotional data into account and adjusts the program content and difficulty.

[0432] The device notifies new employee A of the details of the training program and how to access it.

[0433] 5. Learning and Progress Management:

[0434] New employee A accesses the educational program and begins learning.

[0435] The server records the learning progress of new employee A in real time.

[0436] The server automatically generates progress check tests and provides feedback based on the results.

[0437] The device monitors the emotional state of new employee A while he is learning, and if confusion or fatigue is detected, it provides appropriate feedback and support.

[0438] 6. Ongoing support and recognition:

[0439] The server provides the latest training information and supporting materials to everyone in the organization.

[0440] The server analyzes the learning progress of new employee A and updates the training program.

[0441] The terminal notifies new employee A of the updated information.

[0442] The device receives a support request from new employee A and escalates it to an automated response or administrator.

[0443] In this way, this invention is a system that helps new employees quickly acquire and adapt to AI knowledge, improving the productivity and competitiveness of the entire organization.In addition, by introducing an emotion engine, the learning effect can be further improved by optimizing the training program taking into account the user's emotions.

[0444] The processing flow will be explained below.

[0445] Step 1:

[0446] New employee registration

[0447] A user (new employee) logs in to the system and enters basic information (name, department, position, skill level, etc.).

[0448] The server receives the information entered by the new employee and stores it in a database.

[0449] The device will display a "Registration Complete" notification.

[0450] Step 2:

[0451] Initial Meeting Setup

[0452] The user (administrator) logs in to the system and sets up an initial meeting with a new employee. Specifically, the user enters the date, time, location, and participant information of the meeting.

[0453] The server stores the meeting information and registers it in the calendar.

[0454] The device sends a reminder to the new employee the day before the meeting.

[0455] Step 3:

[0456] Understanding basic knowledge and emotion recognition

[0457] Users (new employees and managers) hold an initial meeting, where the manager asks the new employee questions about their skills and learning needs and listens to their responses.

[0458] The device uses an emotion engine to detect the new employee's emotional state (e.g., nervousness, anxiety, confidence, etc.) in real time and records the data.

[0459] The server records information gathered during the meeting (the new hire's skills, interests, learning needs, and emotional state) and adds it to the new hire's profile.

[0460] Step 4:

[0461] Educational program generation

[0462] The server analyzes the recorded information of new employees and inputs the data into a generative AI model.

[0463] The server uses the generative AI model to generate a customized training program for new employees, including learning topics, study period, and progress check tests.

[0464] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[0465] The device informs new employees about the training program and how to access it.

[0466] Step 5:

[0467] Learning and progress management

[0468] The user (new employee) accesses the notified educational program and begins learning.

[0469] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[0470] The server periodically evaluates learning progress and automatically generates progress check tests.

[0471] The device provides new employees with a progress check test and notifies them of the results.

[0472] The device monitors the user's emotional state (e.g., confusion, fatigue) during learning and provides feedback and assistance based on that.

[0473] Step 6:

[0474] Ongoing support and evaluation

[0475] The server generates the latest training information and supporting materials and provides them to all employees.

[0476] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[0477] The device notifies new employees of updated educational programs and additional learning resources.

[0478] The device receives support requests from new employees and automatically responds or escalates them to an administrator.

[0479] Example 2

[0480] 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."

[0481] Traditional new employee training systems often provide uniform training content and are unable to address the skill levels and learning needs of individual new employees. Furthermore, they do not take into account the emotional state of new employees, which can result in reduced learning effectiveness. Furthermore, they lack real-time monitoring of learning progress and emotional state, making it difficult to provide appropriate feedback and support.

[0482] 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.

[0483] In this invention, the server includes: means for a new employee to log in and input basic information; means for the server to save the new employee's information in a database; means for a manager to schedule a meeting with the new employee and register it in a calendar; means for sending a meeting reminder to the new employee; means for recording the new employee's skills and learning needs at the initial meeting; means for detecting the new employee's emotional state in real time using an emotion recognition engine and recording the data; means for generating a customized educational program for the new employee using a generative AI model; means for adjusting the content and difficulty of the educational program taking the emotional data into consideration; means for the new employee to access the educational program and start learning; means for recording and evaluating the new employee's learning progress in real time; means for monitoring the new employee's emotional state during learning and providing appropriate feedback and support; and means for providing additional learning resources and support information to the manager and the new employee. This enables new employees to receive a personalized educational program and appropriate feedback and support in real time.

[0484] "New hire" refers to an employee who is newly hired by an organization.

[0485] "Logging in" refers to the act of entering authentication information such as a user ID and password to access a system.

[0486] "Basic information" refers to the initial registration data about the user, such as name, department, position, and skill level.

[0487] "Server" refers to a computer system that stores and processes data.

[0488] A "database" refers to a system that efficiently manages large amounts of data and makes it easy to search and manipulate it.

[0489] "Manager" refers to the person in charge of training and managing new employees.

[0490] A "meeting" refers to a gathering of multiple people based on an agenda.

[0491] A "calendar" refers to a system for managing dates, times, and schedules.

[0492] A "reminder notification" is a notification that notifies you in advance so that you don't forget about an appointment.

[0493] "Skills" refer to the abilities and techniques required to perform a specific task.

[0494] "Learning needs" refers to what users want to learn and the knowledge they need.

[0495] "Emotion recognition engine" refers to software used to determine a person's emotions.

[0496] "Emotional state" refers to the mental state the user feels, such as tension, anxiety, or confidence.

[0497] A "generative AI model" refers to a model that uses artificial intelligence to generate optimal educational programs from user data.

[0498] "Customized Educational Program" refers to a learning plan tailored to the needs and skill level of an individual user.

[0499] "Learning Progress" refers to how much of an educational program a user has completed.

[0500] "Feedback" refers to information provided on learning or work results for evaluation and improvement.

[0501] "Support Information" refers to additional knowledge or resources that a User needs to learn or do their job.

[0502] The present invention begins when a new employee logs in and inputs their basic information, and the server stores that information in a database. The hardware and software used in this series of processes will now be described in detail.

[0503] Hardware and Software

[0504] This system uses the following hardware and software:

[0505] Server: A central computer for data processing and storage. Specifically, a Linux server is used.

[0506] Database: A system for persistently storing and managing data. Specifically, MySQL (registered trademark) is used.

[0507] Terminal: A device that allows a user to input information or receive notifications. Specifically, this refers to a PC or smartphone.

[0508] Emotion recognition engine: Software for detecting the user's emotional state in real time. Specifically, we use EmoEngine.

[0509] Generative AI model: Artificial intelligence for generating customized educational programs. Specifically, we use OpenAI® GPT-4®.

[0510] Learning Management System: A system for managing learning progress. Specifically, we use Moodle LMS.

[0511] Overview of program processing

[0512] The flow of the program processing, including each step, is explained below.

[0513] 1. New employee registration:

[0514] A user (new employee) logs in and enters basic information (name, department, position, skill level, etc.).

[0515] The terminal transmits the input information to the server.

[0516] The server receives the information and stores it in a MySQL database.

[0517] The device will display a "Registration Complete" notification.

[0518] 2. Initial Meeting Setup:

[0519] The user (administrator) logs in and schedules a meeting with the new employee.

[0520] The terminal sends the entered meeting details to the server.

[0521] The server registers the information in Google (registered trademark) Calendar and sends a reminder notification the day before the meeting.

[0522] 3. Basic knowledge comprehension and emotion recognition:

[0523] Users (new employees and managers) hold an initial meeting to discuss skills and learning needs.

[0524] The device uses EmoEngine to detect the emotional state of new employees in real time and transmits the data to the server.

[0525] The server stores the meeting content and emotion data in a database.

[0526] 4. Generating educational programs:

[0527] The server analyzes the collected skill information, learning needs, and emotional data and inputs it into OpenAI GPT-4.

[0528] The server generates a customized educational program, adjusting the content and difficulty level as needed.

[0529] The terminal notifies the new employee of the details of the training program and access information.

[0530] 5. Learning and Progress Management:

[0531] A user (new employee) starts an educational program through the Moodle LMS.

[0532] The server records learning progress in real time and automatically generates regular progress check tests to provide feedback.

[0533] The device monitors the user's emotional state while learning, and provides appropriate feedback and assistance if confusion or fatigue is detected.

[0534] 6. Ongoing support and recognition:

[0535] The server generates the latest training information and supporting materials and notifies all employees.

[0536] The server analyzes the learning progress and updates the educational program accordingly.

[0537] The device notifies new employees of updates and accepts support requests.

[0538] Specific examples

[0539] New Employee A:

[0540] 1. New employee A logs in and enters basic information. The terminal sends this information to the server, which stores it in a database.

[0541] 2. The administrator schedules an initial meeting with A and registers it in Google Calendar. A receives a reminder notification the day before the meeting.

[0542] 3. During the meeting, the administrator checks A's skills and learning needs, and EmoEngine detects A's emotional state. The server stores this information.

[0543] 4. The server inputs A’s information into OpenAI GPT-4 to generate a customized training program. The device notifies A of the program details.

[0544] 5. A begins learning using Moodle LMS, and his / her progress is recorded. Progress check tests are automatically generated, and the server provides feedback. EmoEngine monitors A's emotional state during learning, and the device provides appropriate support.

[0545] 6. The server provides the latest training information and supplementary materials, analyzes learning progress, and updates the program. The terminal notifies A of the updates and provides necessary support.

[0546] Prompt Sentence Examples

[0547] "Please tell me the steps for new employee A to use the new AI learning program. Please also explain the emotional data that will be detected during the initial meeting."

[0548] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0549] Step 1:

[0550] New employee login and basic information entry

[0551] A user (new employee) logs in to the system by entering their user ID and password.

[0552] The terminal sends the entered authentication information to the server, and the output is the authentication result.

[0553] The server receives the authentication information and authenticates it by comparing it with the user information stored in the database. If authentication is successful, the user is allowed to log in.

[0554] After logging in, the user enters basic information (name, department, position, skill level, etc.). Input is in form format.

[0555] The terminal sends the entered basic information to the server, and the output is a "Registration Complete" notification.

[0556] The server stores the basic information in a database.

[0557] Step 2:

[0558] Initial Meeting Setup

[0559] A user (administrator) logs in to the system and schedules a meeting with a new employee. Inputs include the date, time, location, and participant information of the meeting.

[0560] The terminal sends the meeting details entered by the administrator to the server, and the output is a calendar entry.

[0561] The server receives the meeting information and registers it on the calendar using the Google Calendar API.

[0562] The terminal sends a reminder to the new employee the day before the meeting. The output is the reminder.

[0563] Step 3:

[0564] Understanding basic knowledge and emotion recognition

[0565] Users (new employees and managers) hold an initial meeting, where managers ask new employees questions about their skills and learning needs and receive answers.

[0566] The device uses EmoEngine to detect the emotional state of new employees in real time. The input is the new employee's facial expression and tone of voice. The output is emotional data.

[0567] The server stores the information obtained during the meeting (skills, learning needs, emotional state) in a database.

[0568] Step 4:

[0569] Educational program generation

[0570] The server analyzes the new employee's information and inputs the data into a generative AI model (OpenAI GPT-4). The inputs are skill information, learning needs, and emotional data.

[0571] The server generates a customized educational program from the generative AI model, and the output is the educational program.

[0572] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[0573] The terminal informs the new employee of the details of the training program and how to access it. The output is a notification message.

[0574] Step 5:

[0575] Learning and progress management

[0576] A user (new employee) accesses an educational program through Moodle LMS and begins learning. The input is the learning content.

[0577] The terminal monitors the user's operations and sends them to the server. The output is learning progress data.

[0578] The server records learning progress in real time and automatically generates regular progress check tests. The output is a progress report and test results.

[0579] The device monitors the user's emotional state during learning, and provides appropriate feedback and assistance if confusion or fatigue is detected. The output is a feedback message.

[0580] Step 6:

[0581] Ongoing support and evaluation

[0582] The server generates the latest training information and supporting materials and provides them to all employees. The input is the latest training information. The output is a notification message.

[0583] The server analyzes the learning progress and updates the educational program as needed. The output is the updated educational program.

[0584] The terminal notifies the new employee of the update. The output is an update notification.

[0585] The terminal receives support requests from new employees and either automatically responds or escalates them to an administrator. The output is the support response result.

[0586] (Application example 2)

[0587] 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."

[0588] Modern companies require new and existing employees to quickly and effectively acquire advanced skills and knowledge, thereby improving productivity. It is also important to provide educational programs that take into account employees' emotional states. However, conventional educational systems have struggled to provide customized educational programs that reflect individual learning progress and emotional states in real time. The present invention aims to solve these problems and maximize employee learning effectiveness.

[0589] 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: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a training program customized for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; and a means for detecting the new employee's emotional state in real time using an emotion recognition engine and providing appropriate support and feedback. This allows new employees to efficiently progress in their learning, and the quality and effectiveness of their learning can be improved by the feedback and adaptive support provided in real time.

[0590] A "new employee" refers to an employee who has been newly hired by a company or organization.

[0591] "Basic information" refers to basic data about new employees, such as name, department, position, and skill level.

[0592] A "server" is a computer system that provides data processing and storage over a network.

[0593] A "database" is a system for systematically storing data and for accessing and managing it as needed.

[0594] An "administrator" is a position that is responsible for overseeing the operation of systems and organizations and setting up training programs and meetings for new employees.

[0595] A "meeting" is a gathering of people for a purpose, where they come together to discuss or discuss something.

[0596] A "calendar" is a system or tool for displaying and managing dates and schedules.

[0597] "Reminder notification" is a function that notifies the user again so that they do not forget their schedule or task.

[0598] "Skills" refer to the specialized knowledge, abilities, and techniques that an individual possesses.

[0599] "Learning needs" refers to the desires and needs of individuals to learn the knowledge and skills they need.

[0600] A "generative AI model" is a system that uses AI technology to automatically create data and programs that meet individual requirements.

[0601] "Customized Educational Program" means educational materials and training plans specifically designed to meet individual needs and skill levels.

[0602] "Learning progress" refers to an individual's progress and achievement in relation to a set educational program.

[0603] "Real time" refers to a state in which immediate processing and response can be performed.

[0604] "Additional learning resources" refers to supplementary learning materials or materials provided in addition to the basic course materials or program.

[0605] "Support information" refers to information such as advice, materials, and guidelines that are necessary to smoothly carry out learning or work.

[0606] An "emotion recognition engine" is a technology or system that detects a user's emotional state from their facial expressions, voice, etc., and records and analyzes it.

[0607] This invention is a system that provides an educational program for managing and supporting the operation and maintenance of factory robots. This system utilizes an emotion recognition engine and generative AI models to provide a personalized learning experience for new employees so that they can learn efficiently. The system's program processing is described in detail below.

[0608] Hardware and software used

[0609] Server: A computer system that provides data processing and storage over a network.

[0610] Database: SQLite is used to store and manage new employee information, meeting information, learning progress, and emotional state.

[0611] Devices: Devices such as smartphones and computers that are used for access by new employees and managers.

[0612] Emotion Recognition Engine: Uses EmotionEngine (provisional library) to detect the user's emotional state in real time.

[0613] Generative AI model: Uses AICustomizer (provisional library) to generate a customized training program based on the new employee's information.

[0614] Specific processing overview of the system

[0615] 1. New employee registration:

[0616] A new employee logs into the system from a terminal and enters basic information.

[0617] The server stores the new employee's input information in a database.

[0618] The device will display a "Registration Complete" notification to the new employee.

[0619] 2. Initial Meeting Setup:

[0620] The administrator logs into the system from a terminal and schedules an initial meeting with the new employee.

[0621] The server stores the meeting information in a database and registers it in a calendar.

[0622] The device sends a reminder to the new employee the day before the meeting.

[0623] 3. Basic knowledge comprehension and emotion recognition:

[0624] An initial meeting between the new employee and manager to discuss the new employee's skills and learning needs.

[0625] The device uses an emotion recognition engine to detect the emotional state of new employees in real time and record the data.

[0626] The server adds the information from the meeting to a database and updates the new employee's profile.

[0627] 4. Generating educational programs:

[0628] The server inputs the new employee's profile information into a generative AI model to generate a customized training program.

[0629] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[0630] The device informs new employees about the training program and how to access it.

[0631] 5. Learning and Progress Management:

[0632] New employees access the educational program from their devices and begin learning.

[0633] The server records the learning progress of new employees in real time and stores it in a database.

[0634] The server automatically generates progress check tests and provides feedback based on the results.

[0635] The device monitors the emotional state of new employees while they are learning, and if confusion or fatigue is detected, it provides appropriate assistance.

[0636] 6. Ongoing support and recognition:

[0637] The server stores the latest training information and supporting materials in a database and provides them to all employees.

[0638] The server analyzes the learning progress of new employees and updates the training program as needed.

[0639] The device will notify the new employee of the updates.

[0640] The device receives support requests from new employees and escalates them to an automated response or administrator.

[0641] Examples of concrete examples and prompts

[0642] Examples:

[0643] New employees log in to the system and enter their basic information.

[0644] Managers schedule initial meetings with new employees and add them to their calendars.

[0645] During the initial meeting, new employees' skills and learning needs are identified and their emotional state is detected using an emotion recognition engine.

[0646] Generative AI models generate customized educational programs.

[0647] New employees learn through an educational program, and devices monitor their progress and emotional state.

[0648] Example prompt sentence:

[0649] "New employees log in to the system and enter their basic information. Then, an administrator schedules an initial meeting and registers it on the calendar. During the initial meeting, the new employee's skills and learning needs are identified, and an emotion recognition engine is used to detect their emotional state. A generative AI model is used to generate and implement a customized training program."

[0650] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0651] Step 1:

[0652] The terminal provides a screen for entering basic information about new employees. The new employee enters their own information (name, department, position, skill level, etc.) and presses the submit button. The entered information is sent to the server in JSON format. The server receives this data and saves it in a database. Once saved, the terminal displays a "Registration Complete" notification to the new employee.

[0653] Step 2:

[0654] The administrator logs into the system from a terminal and enters the new employee's ID, the meeting date and time, location, and participant information on the initial meeting settings screen. The entered information is sent to the server, which stores it in a database. The meeting information is also registered in the calendar system. The server automatically sends a reminder to the new employee the day before the meeting.

[0655] Step 3:

[0656] The terminal conducts an initial meeting between the new employee and the manager on their local terminal. The manager asks the new employee questions about their skills and learning needs and inputs the answers into the terminal. The terminal uses an emotion recognition engine to detect the new employee's emotional state in real time and records the data. The server stores this information and emotional data in a database and updates the new employee's profile.

[0657] Step 4:

[0658] The server inputs the new employee's profile information into a generative AI model and automatically generates a customized training program. The generated program content includes learning items, study period, progress check tests, etc. The server also takes emotional data into account and adjusts the content and difficulty of the program. The terminal notifies the new employee of the details of the training program and how to access it.

[0659] Step 5:

[0660] New employees access the educational program from their devices and begin learning. The devices record the new employee's learning progress and send it to a server in real time. The server stores this progress data in a database and automatically generates a progress check test. The results of the progress check test are fed back to the new employee. The devices also monitor the employee's emotional state during learning, displaying support messages if confusion or fatigue is detected.

[0661] Step 6:

[0662] The server periodically updates the latest training information and supporting materials for new and existing employees and stores them in a database. The terminal notifies new employees of the updates and provides access instructions as needed. Support requests from new employees are entered into the terminal, and the server receives them and either escalates them to an automated response system for processing or contacts an administrator.

[0663] 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.

[0664] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0665] 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.

[0666] [Second embodiment]

[0667] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0668] 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.

[0669] 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).

[0670] 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.

[0671] 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.

[0672] 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).

[0673] 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.

[0674] 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.

[0675] 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.

[0676] 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.

[0677] 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.

[0678] 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."

[0679] This invention is a system that enables all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. This system involves inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, and managing and providing feedback on learning progress.

[0680] System program and processing overview

[0681] The program of this system is configured as follows:

[0682] 1. New employee registration:

[0683] A user (new employee) logs in to the system and enters basic information, including name, department, position, and skill level.

[0684] The server receives the information entered by the new employee and stores it in a database.

[0685] The device will display a "Registration Complete" notification.

[0686] 2. Initial Meeting Setup:

[0687] The user (administrator) logs in to the system and schedules an initial meeting with the new employee. The user enters the date, time, and details of the meeting.

[0688] The server saves the meeting schedule and registers it in the calendar.

[0689] The device sends a reminder to the new employee the day before the meeting.

[0690] 3. Understanding the basics:

[0691] Users (new employees and managers) meet to discuss the new employees' skills and learning needs.

[0692] The server records the information from the meeting and adds it to the new employee's profile.

[0693] 4. Generating educational programs:

[0694] The server analyzes the basic knowledge and learning needs of new employees and inputs them into a generative AI model.

[0695] The server generates a customized educational program from the generated AI model, including learning items, study period, and progress check tests.

[0696] The device will then inform the new hire of the details of their customized training program and how to access it.

[0697] 5. Learning and Progress Management:

[0698] The user (new employee) accesses the notified educational program and begins learning.

[0699] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[0700] The server periodically evaluates learning progress and automatically generates progress check tests.

[0701] The device presents a progress check test and notifies the new employee of the results.

[0702] 6. Ongoing support and recognition:

[0703] The server generates the latest training information and supporting materials and provides them to all employees.

[0704] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[0705] The device will notify you of updated educational programs and additional learning resources.

[0706] The device receives support requests for learning questions or issues and responds automatically or escalates to an administrator.

[0707] Specific examples

[0708] Example: New employee A

[0709] 1. New employee registration:

[0710] New employee A logs in to the system and enters basic information (name, department, position, skill level, etc.).

[0711] The server saves the information of new employee A in the database.

[0712] The device will display a "Registration Complete" notification.

[0713] 2. Initial Meeting Setup:

[0714] The manager schedules an initial meeting with new employee A and registers it on the calendar.

[0715] The device sends a reminder to new employee A the day before the meeting.

[0716] 3. Understanding the basics:

[0717] New employee A and a manager have an initial meeting to discuss the skills and learning needs of new employee A. For example, new employee A has basic knowledge of Python and wants to learn data analysis.

[0718] The server records the meeting information and adds it to New Employee A's profile.

[0719] 4. Generating educational programs:

[0720] The server analyzes the information of new employee A and uses a generative AI model to generate a customized training program, such as "Python Basics," "Introduction to Data Analysis," "One-month study period," and "Weekly progress check tests."

[0721] The device notifies new employee A of the details of the training program and how to access it.

[0722] 5. Learning and Progress Management:

[0723] New employee A accesses the educational program and begins learning.

[0724] The server records the learning progress of new employee A in real time.

[0725] The server automatically generates progress check tests and evaluates learning progress based on the results.

[0726] The terminal notifies new employee A of the test results.

[0727] 6. Ongoing support and recognition:

[0728] The server provides the latest training information and supporting materials to the entire organization.

[0729] The server analyzes the learning progress of new employee A and updates the training program as necessary.

[0730] Your device will notify you of updates and additional learning resources.

[0731] The device receives the support request and escalates it to an automated response or administrator.

[0732] In this way, this invention is a system that helps new employees quickly acquire AI knowledge and adapt to their work, thereby increasing the productivity and competitiveness of the entire organization. Furthermore, by providing regular training and support not only to new employees but also to existing employees, the knowledge assets of the entire organization are strengthened.

[0733] The processing flow will be explained below.

[0734] Step 1:

[0735] New employee registration

[0736] A user (new employee) logs in to the system and enters basic information (name, department, position, skill level, etc.).

[0737] The server receives the information entered by the new employee and stores it in a database.

[0738] The device will display a "Registration Complete" notification.

[0739] Step 2:

[0740] Initial Meeting Setup

[0741] The user (administrator) logs in to the system and sets up an initial meeting with a new employee. Specifically, the user enters the date, time, location, and participant information of the meeting.

[0742] The server stores the meeting information and registers it in the calendar.

[0743] The device sends a reminder to the new employee the day before the meeting.

[0744] Step 3:

[0745] Understanding the basics

[0746] Users (new employees and managers) hold an initial meeting. The manager asks the new employee questions about their skills and learning needs and listens to their responses.

[0747] The server records the information obtained during the meeting (the new employee's skills, interests, and learning needs) and adds it to the new employee's profile.

[0748] Step 4:

[0749] Educational program generation

[0750] The server analyzes the recorded information of new employees and inputs the data into a generative AI model.

[0751] The server uses the generative AI model to generate a customized training program for new employees, including learning topics, study period, and progress check tests.

[0752] The device informs new employees about the training program and how to access it.

[0753] Step 5:

[0754] Learning and progress management

[0755] The user (new employee) accesses the notified educational program and begins learning.

[0756] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[0757] The server periodically evaluates learning progress and automatically generates progress check tests.

[0758] The device provides new employees with a progress check test and notifies them of the results.

[0759] Step 6:

[0760] Ongoing support and evaluation

[0761] The server generates the latest training information and supporting materials and provides them to all employees.

[0762] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[0763] The device notifies new employees of updated educational programs and additional learning resources.

[0764] The device receives support requests from new employees and automatically responds or escalates them to an administrator.

[0765] In this way, specific actions are implemented at each step, creating a system that allows new employees to learn effectively through the training program.

[0766] Example 1

[0767] 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."

[0768] Traditional training systems lack the support required for new employees to effectively acquire AI knowledge and quickly adapt to their work. It also makes it difficult for existing employees to continuously improve their skills and manage their learning progress. This can lead to a decline in productivity across the organization and potentially affect a company's competitiveness.

[0769] 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.

[0770] In this invention, the server includes: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a customized training program for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; a means for automatically generating a progress check test based on the new employee's skills and needs; and a means for analyzing the new employee's learning progress data and continuously updating the training program. This enables new employees to quickly and effectively acquire AI knowledge and improves the productivity and competitiveness of the entire organization.

[0771] 1. "Login" means the process by which a user is authenticated by entering credentials to access a system.

[0772] 2. "Basic information" refers to personal information such as name, department, position, and skill level that new employees enter into the system.

[0773] 3. A "database" is a system for efficiently storing, managing, and searching information.

[0774] 4. "Calendar" means a tool or system for registering and managing schedules and events.

[0775] 5. "Reminder Notification" means a notification sent before a scheduled event or task.

[0776] 6. An “initial meeting” is the first interview or meeting between a new employee and a manager to understand the new employee’s skills and learning needs.

[0777] 7. "Skills" are specific knowledge and technical abilities that new employees possess.

[0778] 8. "Learning needs" are the knowledge and skill requirements that new employees must acquire.

[0779] 9. A “generative AI model” is an artificial intelligence model that is trained to perform a specific task based on input data.

[0780] 10. "Customized Education Program" means a learning plan specifically designed based on the skills and learning needs of a new employee.

[0781] 11. "Learning Progress" is information about how well a new employee progresses through each stage of the training program.

[0782] 12. "Real-time recording and evaluation" is the process of instantly recording and evaluating ongoing information.

[0783] 13. “Additional Learning Resources” means supplementary learning materials or materials provided to new hires to further their learning.

[0784] 14. "Support Information" means information provided to assist with learning or work.

[0785] 15. "Progress Test" means a test administered periodically to assess a new employee's learning progress.

[0786] 16. "Analyzing learning progress data" is the process of analyzing data on new employees' learning progress and creating future learning plans.

[0787] 17. "Updating an educational program" means changing or improving an existing educational program based on new information or requirements.

[0788] This invention is a system that allows all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. This system involves inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, and managing and providing feedback on learning progress. Specific implementation methods are shown below.

[0789] First, the user (new employee) logs in to the system and enters basic information about the new employee. This basic information includes name, department, position, skill level, etc. The server receives this information and stores it in the database. The terminal displays a notification that "Registration Complete."

[0790] Next, the user (administrator) logs in to the system and schedules an initial meeting with the new employee. The date, time, and details of the meeting are entered, and the server saves the meeting schedule and registers it in the calendar. The terminal then sends a reminder to the new employee the day before the meeting.

[0791] In the initial meeting, users (new employee and manager) discuss the new employee's skills and learning needs. For example, if the new employee has basic knowledge of Python and wants to learn data analysis, the manager records this information in the system. The server receives the meeting information and adds it to the new employee's profile.

[0792] Next, the server analyzes the new employee's basic knowledge and learning needs and inputs them into the generative AI model. This process includes generating prompts using the generative AI model, such as "Please generate an educational program based on new employee B's basic knowledge and learning needs." The server then generates a customized educational program from the generative AI model and notifies the device of the details. The program includes learning items, learning period, progress check tests, etc.

[0793] The user (new employee) receives the notification and accesses the educational program to begin learning. The server records the new employee's learning progress in real time. Each time the new employee completes a learning module, the progress information is sent to the server and stored in a database. The server also automatically generates a progress check test and evaluates the new employee's learning progress based on the results. The terminal notifies the new employee of the test results.

[0794] The server generates the latest training information and supporting materials as ongoing support and provides them to the entire organization. Furthermore, the server analyzes new employees' learning progress data and updates the training program as needed. Updated content and additional learning resources are notified to new employees via their devices. If new employees need support during their training, the devices receive support requests and automatically respond or escalate them to an administrator.

[0795] The system enables new employees to quickly and effectively acquire AI knowledge, improving productivity and competitiveness across the organization, while also providing regular training and additional support to existing employees, thereby raising the level of knowledge across the organization.

[0796] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0797] Step 1:

[0798] New employees log in and enter their basic information

[0799] A user (new employee) accesses the system's login screen and logs in by entering authentication information (user ID and password). After logging in, a form for entering basic information (name, department, position, skill level, etc.) is displayed. The user enters the basic information and presses the submit button.

[0800] Input: User ID, password, name, department, position, skill level

[0801] Output: Basic information sent to the system

[0802] Specific behavior: The form input is sent to the server.

[0803] Step 2:

[0804] The server receives the new employee information and stores it in the database.

[0805] The server receives the basic information sent by the user and stores it in a database, for example by performing an INSERT operation using an SQL statement.

[0806] Input: Basic information (name, department, position, skill level)

[0807] Output: User information is saved in the database

[0808] Specific operation: The server converts the received data into the appropriate format and performs an INSERT operation on the database.

[0809] Step 3:

[0810] The device displays a "Registration complete" notification

[0811] The server confirms that the data has been saved to the database and sends an instruction to display a "Registration Complete" notification on the terminal.

[0812] Input: Notification of completion of saving to database

[0813] Output: A "Registration complete" notification will appear on your device.

[0814] Specific behavior: The device displays a message to the user indicating that the save was successful.

[0815] Step 4:

[0816] Managers schedule initial meetings with new employees and register them on the calendar

[0817] A user (administrator) logs into the system and enters the date, time, and details of an initial meeting with a new employee. When the administrator presses the "Book" button, the server saves the meeting schedule in the database and synchronizes it with the calendar system.

[0818] Input: Meeting date and time, details

[0819] Output: A meeting is added to the calendar.

[0820] Specific operation: The server saves the input information in a database and synchronizes it using the calendar API.

[0821] Step 5:

[0822] The device will send a reminder the day before the meeting

[0823] The day before the meeting, the server generates a reminder notification and instructs the terminal to send the notification.

[0824] Input: Meeting Schedule Information

[0825] Output: A reminder notification is displayed on the new employee's device.

[0826] Specific behavior: The device displays a reminder notification to the new employee.

[0827] Step 6:

[0828] Record new hires' skills and learning needs during initial meetings

[0829] Users (new hires and managers) hold an initial meeting to discuss the new hire's skills and learning needs, which the manager then manually enters into the system.

[0830] Input: New employee skills and learning needs

[0831] Output: Meeting information is saved to the database

[0832] Specific operation: The administrator enters the details of the discussion into the system, and the server stores it in the database.

[0833] Step 7:

[0834] The server analyzes the new employee's information and inputs it into the generative AI model.

[0835] The server passes the new employee's basic information and meeting information to the data analysis engine for analysis, and inputs prompt statements into the generative AI model based on the analysis results.

[0836] Input: Basic information of new employee, meeting information

[0837] Output: The prompt sentence that is fed into the generative AI model

[0838] Specific operation: The server generates a prompt sentence based on the analysis results and inputs it into the generative AI model.

[0839] Step 8:

[0840] The server generates a customized educational program using the generative AI model.

[0841] The generative AI model generates a customized educational program based on the prompt sentence, and the server receives the results, including learning items, learning period, and progress check tests.

[0842] Input: prompt statement

[0843] Output: Customized educational program

[0844] Specific operation: The generative AI model generates a training program, which is received by the server and stored in a database.

[0845] Step 9:

[0846] The device displays the details of the educational program.

[0847] The server sends a notification containing details of the generated training program to the terminal, which displays it to the new employee.

[0848] Input: Educational program details

[0849] Output: Details of the training program are displayed on the new employee's terminal.

[0850] Specific behavior: The device displays an access link and detailed information about the educational program.

[0851] Step 10:

[0852] New employees access educational programs and begin learning

[0853] The user (new employee) receives a notification, accesses the educational program, and begins learning, progressing through each learning module and completing assignments and tests.

[0854] Input: Educational program access link

[0855] Output: Learning progress data

[0856] Specific behavior: New employees access educational programs and learn.

[0857] Step 11:

[0858] The server records your learning progress in real time

[0859] As new employees complete each module, their progress data is sent to a server and recorded in a database.

[0860] Input: Learning progress information

[0861] Output: Progress data stored in a database

[0862] What it does: The server receives progress data in real time and records it in a database.

[0863] Step 12:

[0864] The server automatically generates progress check tests and provides them to new employees.

[0865] The server automatically generates a progress check test based on the learning progress and provides the test to the new employee.

[0866] Input: Learning progress data

[0867] Output: Auto-generated progress test

[0868] Specific operation: A generative AI model is used to generate progress check tests and provide them to new employees.

[0869] Step 13:

[0870] The device will notify you of the test results.

[0871] Once the new employee has completed the test, the results are sent to the server, which evaluates them and sends the results to the terminal to notify the new employee.

[0872] Input: Test result data

[0873] Output: Notification of evaluation results

[0874] Specific operation: The server evaluates the test results and notifies the new employee of the evaluation results.

[0875] Step 14:

[0876] The server provides the latest training information and supporting materials

[0877] For ongoing support, the server uses generative AI models to generate up-to-date training information and supporting materials, which are then distributed across the organization.

[0878] Input: Required training information and supporting materials

[0879] Output: Latest training information and supporting materials

[0880] What it does: Uses a generative AI model to generate new training materials and provide them to all employees.

[0881] Step 15:

[0882] The server analyzes the learning progress data and updates the educational program.

[0883] The server analyzes the learning progress data of new employees and updates the training program as necessary.

[0884] Input: Learning progress data

[0885] Output: Updated educational program

[0886] Specific operation: The server reviews the educational program based on the learning progress data and updates it as necessary.

[0887] Step 16:

[0888] The device will notify you of updated educational programs

[0889] The server transmits updated contents of the training program to the terminal, and the terminal notifies the new employee of the contents.

[0890] Input: Updated educational program information

[0891] Output: Updates notified to new employees

[0892] What it does: Your device will display updates and new learning resources.

[0893] Step 17:

[0894] The device receives a support request

[0895] If a new employee needs help during their learning, they can fill out and submit a support request form on their device.

[0896] Input: Support Request

[0897] Output: A support request is sent to the server

[0898] Specific operation: The device manages support requests and sends them to the server.

[0899] Step 18:

[0900] Escalate support requests to an automated response or administrator

[0901] When a support request is received, the server displays a pre-defined FAQ response or escalates it to an administrator if a response is required.

[0902] Input: Support Request

[0903] Output: Response message or escalation notification

[0904] Specific action: The server will either issue an automatic response or send an escalation notification to the administrator.

[0905] (Application example 1)

[0906] 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."

[0907] The challenge for new employees at logistics facilities is to quickly adapt to their work and acquire skills. Conventional training methods make it difficult for new employees to effectively learn logistics work, so the introduction of an efficient training system is required.

[0908] 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.

[0909] In this invention, the server includes: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a customized training program for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; and a means for an autonomous robot to guide the new employee through the logistics facility and explain the work process. This enables the new employee to effectively learn the basics of logistics work and quickly adapt to the field.

[0910] A "new employee" is an employee who has been newly hired by a company or organization.

[0911] "Logging in" is the process by which a user authenticates by entering authentication information to access a system.

[0912] "Basic information" refers to basic data about a user, such as the individual's name, department, and skill level.

[0913] A "server" is a computer system that stores and processes data on a network.

[0914] A "database" is an organized collection of data for efficiently storing, managing, and retrieving information.

[0915] An "administrator" is a person in charge of managing systems and business processes.

[0916] A "meeting" is a gathering of multiple people to share information and hold discussions.

[0917] A "calendar" is a tool for managing date and time information.

[0918] A "notification" is a message intended to inform the user of specific information.

[0919] An "initial meeting" is a new employee's first meeting with their manager.

[0920] A "skill" is the ability to perform a specific job or task.

[0921] "Learning needs" are the learning goals that individuals want to achieve and the knowledge and skills they want to acquire.

[0922] A "generative AI model" is an artificial intelligence model that is generated based on machine learning or deep learning.

[0923] A "customized educational program" is a learning plan designed to meet individual needs.

[0924] "Access" means performing operations such as reading and writing on a system or data.

[0925] "Study progress" refers to the progress and level of achievement in learning.

[0926] "Real-time" means that processing and updates are done immediately, without delay.

[0927] "Evaluation" is the process of determining and evaluating learning outcomes and progress.

[0928] "Additional learning resources" are supplementary materials or information provided in addition to existing learning materials.

[0929] "Support information" is information that supports learning and work execution.

[0930] An "autonomous robot" is a robot that can act and make decisions on its own without human intervention.

[0931] A "logistics facility" is a place where operations such as the storage, management, and transportation of goods are carried out.

[0932] "Guiding" means providing guidance and explanations.

[0933] A "business process" is a series of steps or procedures for carrying out a specific business operation.

[0934] This invention is a system for enabling new employees at logistics facilities to efficiently learn and quickly adapt to their work. The system's components include a means for new employees to input information, a means for generating a customized training program using a generative AI model, and a means for an autonomous robot to guide new employees through the logistics facility and explain the work process.

[0935] System program and processing overview

[0936] New employee registration

[0937] Users (new employees) log in to the system using a dedicated tablet device and enter basic information, such as their name, department, and skill level.

[0938] The server receives the information entered by the new employee and stores it in a database, which is used in subsequent processes.

[0939] Initial Meeting Setup

[0940] The user (administrator) logs in to the server and schedules an initial meeting with the new employee. The user registers the date, time, and details of the meeting in the calendar.

[0941] The server stores the meeting schedule and sends a reminder to the new employee the day before the meeting.

[0942] Understanding the basics

[0943] Users (new employee and manager) meet to discuss the new employee's skills and learning needs, and this information is recorded by the server and added to the new employee's profile.

[0944] Educational program generation

[0945] The server analyzes the basic knowledge and learning needs of new employees and uses a generative AI model to generate a customized training program, including learning items, study period, and progress check tests.

[0946] The server notifies the new employee of the details of the training program and how to access it.

[0947] Learning and progress management

[0948] New employees access the received educational program and begin learning.

[0949] The server records the learning progress of new employees in real time, evaluates them according to their progress, and periodically generates progress check tests and notifies the results to new employees.

[0950] Autonomous robotic guidance

[0951] The autonomous robot guides new employees through the logistics facility, explaining each process. The robot follows a pre-programmed route and provides detailed explanations at key operational points.

[0952] Ongoing support and evaluation

[0953] The server generates the latest training information and supporting materials and provides them to all employees. It also analyzes the learning progress and performance of new employees and updates the training program as needed.

[0954] The tablet notifies users of updated educational programs and additional learning resources, and also receives support requests, which are automatically responded to or escalated to an administrator.

[0955] Specific examples

[0956] For example, suppose that in order for new employee B to effectively learn work at a logistics facility, he or she is required to have basic skills in Python and data analysis at the initial meeting, and additional knowledge of robot operation is required. In this case, the training program would include "Python Basics," "Introduction to Data Analysis," and "Robot Operation," with periodic progress check tests.

[0957] Examples of prompts for AI models

[0958] Based on the profile of new employee B, please create a customized training program that covers the skill set required in a logistics facility. B has basic knowledge of logistics operations and would like to strengthen his robot operation skills. The program should include a one-month learning plan, including weekly progress check tests. Please provide details, including specific learning items, duration, and evaluation method.

[0959] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0960] Step 1:

[0961] Users (new employees) log in to the system using a dedicated tablet device and enter basic information (such as name, department, skill level, etc.) The entered information is sent to the server.

[0962] Input: Basic information about the new employee.

[0963] Output: Basic information is saved in the database.

[0964] How it works: When a user enters information into a form on a tablet and hits the submit button, the server stores this information in a database.

[0965] Step 2:

[0966] The server stores the received information about the new employee in a database.

[0967] Input: Basic information entered by the new hire.

[0968] Output: New employee information recorded in the database.

[0969] How it works: The server calls the database save API to persist the information.

[0970] Step 3:

[0971] The user (administrator) logs in to the server and schedules an initial meeting with a new employee. The user enters the date, time, and details of the meeting and registers it in the calendar.

[0972] Input: Initial meeting date, time and details.

[0973] Output: Meeting information registered in the calendar.

[0974] How it works: Administrators enter meeting information through a web interface, and the server registers it in the calendar.

[0975] Step 4:

[0976] The server stores the meeting schedule and sends a reminder to the new employee the day before the meeting.

[0977] Input: Schedule initial meeting.

[0978] Output: Reminder notification sent to new employee.

[0979] How it works: The server generates reminders based on schedule information and sends them using the notification API.

[0980] Step 5:

[0981] Users (new employees and managers) hold an initial meeting to discuss the new employee's skills and learning needs, and this information is recorded by the server.

[0982] Input: New employee skills and learning needs.

[0983] Output: Recorded new employee skill profile.

[0984] How it works: The administrator enters what was discussed during the meeting, and the server stores it in a profile.

[0985] Step 6:

[0986] The server analyzes the basic knowledge and learning needs of new employees and generates a customized training program using a generative AI model.

[0987] Input: New employee skill profile.

[0988] Output: A customized educational program.

[0989] How it works: The server inputs profile information into the AI ​​model and formats the generated learning plan as a program.

[0990] Step 7:

[0991] The server notifies the new employee of the details of the training program and how to access it.

[0992] Enter: customized educational programs.

[0993] Output: Detailed notification of educational program.

[0994] How it works: The server uses the Notification API to send details of the training program to the new employee's tablet.

[0995] Step 8:

[0996] New employees access the received educational program and begin learning.

[0997] Enter: Educational Programs.

[0998] Output: Learning progress data.

[0999] Operation: A new employee accesses the training program and progresses through the learning content. Their progress is sent to the server.

[1000] Step 9:

[1001] The server records the learning progress of new employees in real time, evaluates them according to their progress, and periodically generates progress check tests and notifies the results to new employees.

[1002] Input: Learning progress data.

[1003] Output: Progress assessment and confirmation test results.

[1004] How it works: The server analyzes learning progress data, generates tests based on the progress using an AI model, and notifies the user of progress evaluation and test results.

[1005] Step 10:

[1006] The autonomous robot guides new employees through the logistics facility and explains each work process.

[1007] Input: Preset guide program.

[1008] Output: Job explanation for new employees.

[1009] How it works: The robot follows a pre-defined route, explaining the business process at key points.

[1010] Step 11:

[1011] The server generates the latest training information and supporting materials and provides them to all employees. It also analyzes the learning progress and performance of new employees and updates the training program as needed.

[1012] Input: Latest training data and learning progress data.

[1013] Output: Updated educational program and supporting materials.

[1014] How it works: The server collects training information and uses AI models to analyze, update, and inform educational programs and supporting materials.

[1015] Step 12:

[1016] The tablet notifies users of updated educational programs and additional learning resources, and also receives support requests, which are automatically responded to or escalated to an administrator.

[1017] Input: Updated education programs and support requests.

[1018] Output: Notification and support response.

[1019] What it does: The tablet notifies you of updates and processes and responds to support requests, or escalates them to an administrator as needed.

[1020] 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.

[1021] This invention is a system that enables all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. It also incorporates an emotion engine that recognizes user emotions to maximize the effectiveness of training programs. This system includes inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, managing and providing feedback on learning progress, and recognizing and providing feedback on emotions.

[1022] System program and processing overview

[1023] The program of this system is configured as follows:

[1024] 1. New employee registration:

[1025] A user (new employee) logs in to the system and enters basic information (name, department, position, skill level, etc.).

[1026] The server receives the information entered by the new employee and stores it in a database.

[1027] The device will display a "Registration Complete" notification.

[1028] 2. Initial Meeting Setup:

[1029] The user (administrator) logs in to the system and sets up an initial meeting with a new employee. Specifically, the user enters the date, time, location, and participant information of the meeting.

[1030] The server stores the meeting information and registers it in the calendar.

[1031] The device sends a reminder to the new employee the day before the meeting.

[1032] 3. Basic knowledge comprehension and emotion recognition:

[1033] Users (new employees and managers) hold an initial meeting, where the manager asks the new employee questions about their skills and learning needs and listens to their responses.

[1034] The device uses an emotion engine to detect the new employee's emotional state (e.g., nervousness, anxiety, confidence, etc.) in real time and records the data.

[1035] The server records information gathered during the meeting (the new hire's skills, interests, learning needs, and emotional state) and adds it to the new hire's profile.

[1036] 4. Generating educational programs:

[1037] The server analyzes the recorded information of new employees and inputs the data into a generative AI model.

[1038] The server uses the generative AI model to generate a customized training program for new employees, including learning topics, study period, and progress check tests.

[1039] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[1040] The device informs new employees about the training program and how to access it.

[1041] 5. Learning and Progress Management:

[1042] The user (new employee) accesses the notified educational program and begins learning.

[1043] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[1044] The server periodically evaluates learning progress and automatically generates progress check tests.

[1045] The device provides new employees with a progress check test and notifies them of the results.

[1046] The device monitors the user's emotional state (e.g., confusion, fatigue) during learning and provides feedback and assistance based on that.

[1047] 6. Ongoing support and recognition:

[1048] The server generates the latest training information and supporting materials and provides them to all employees.

[1049] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[1050] The device notifies new employees of updated educational programs and additional learning resources.

[1051] The terminal receives support requests (questions and problems) from new employees and automatically responds or escalates them to an administrator.

[1052] Specific examples

[1053] Example: New employee A

[1054] 1. New employee registration:

[1055] New employee A logs in to the system and enters basic information (name, department, position, skill level, etc.).

[1056] The server saves the information of new employee A in the database.

[1057] The device will display a "Registration Complete" notification.

[1058] 2. Initial Meeting Setup:

[1059] The manager schedules an initial meeting with new employee A and registers it on the calendar.

[1060] The device sends a reminder to new employee A the day before the meeting.

[1061] 3. Basic knowledge comprehension and emotion recognition:

[1062] New employee A and the manager have an initial meeting to discuss New employee A's skills and learning needs. The manager asks questions and New employee A answers them.

[1063] The terminal uses an emotion engine to detect the emotional state (e.g., tension or anxiety) of new employee A in real time.

[1064] The server adds the recorded information and emotional state to New Hire A's profile.

[1065] 4. Generating educational programs:

[1066] The server analyzes the information of new employee A and generates a customized training program using a generative AI model. The program includes topics such as "Python Basics," "Introduction to Data Analysis," and "One-Month Learning Period."

[1067] The server takes emotional data into account and adjusts the program content and difficulty.

[1068] The device notifies new employee A of the details of the training program and how to access it.

[1069] 5. Learning and Progress Management:

[1070] New employee A accesses the educational program and begins learning.

[1071] The server records the learning progress of new employee A in real time.

[1072] The server automatically generates progress check tests and provides feedback based on the results.

[1073] The device monitors the emotional state of new employee A while he is learning, and if confusion or fatigue is detected, it provides appropriate feedback and support.

[1074] 6. Ongoing support and recognition:

[1075] The server provides the latest training information and supporting materials to everyone in the organization.

[1076] The server analyzes the learning progress of new employee A and updates the training program.

[1077] The terminal notifies new employee A of the updated information.

[1078] The device receives a support request from new employee A and escalates it to an automated response or administrator.

[1079] In this way, this invention is a system that helps new employees quickly acquire and adapt to AI knowledge, improving the productivity and competitiveness of the entire organization.In addition, by introducing an emotion engine, the learning effect can be further improved by optimizing the training program taking into account the user's emotions.

[1080] The processing flow will be explained below.

[1081] Step 1:

[1082] New employee registration

[1083] A user (new employee) logs in to the system and enters basic information (name, department, position, skill level, etc.).

[1084] The server receives the information entered by the new employee and stores it in a database.

[1085] The device will display a "Registration Complete" notification.

[1086] Step 2:

[1087] Initial Meeting Setup

[1088] The user (administrator) logs in to the system and sets up an initial meeting with a new employee. Specifically, the user enters the date, time, location, and participant information of the meeting.

[1089] The server stores the meeting information and registers it in the calendar.

[1090] The device sends a reminder to the new employee the day before the meeting.

[1091] Step 3:

[1092] Understanding basic knowledge and emotion recognition

[1093] Users (new employees and managers) hold an initial meeting, where the manager asks the new employee questions about their skills and learning needs and listens to their responses.

[1094] The device uses an emotion engine to detect the new employee's emotional state (e.g., nervousness, anxiety, confidence, etc.) in real time and records the data.

[1095] The server records information gathered during the meeting (the new hire's skills, interests, learning needs, and emotional state) and adds it to the new hire's profile.

[1096] Step 4:

[1097] Educational program generation

[1098] The server analyzes the recorded information of new employees and inputs the data into a generative AI model.

[1099] The server uses the generative AI model to generate a customized training program for new employees, including learning topics, study period, and progress check tests.

[1100] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[1101] The device informs new employees about the training program and how to access it.

[1102] Step 5:

[1103] Learning and progress management

[1104] The user (new employee) accesses the notified educational program and begins learning.

[1105] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[1106] The server periodically evaluates learning progress and automatically generates progress check tests.

[1107] The device provides new employees with a progress check test and notifies them of the results.

[1108] The device monitors the user's emotional state (e.g., confusion, fatigue) during learning and provides feedback and assistance based on that.

[1109] Step 6:

[1110] Ongoing support and evaluation

[1111] The server generates the latest training information and supporting materials and provides them to all employees.

[1112] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[1113] The device notifies new employees of updated educational programs and additional learning resources.

[1114] The device receives support requests from new employees and automatically responds or escalates them to an administrator.

[1115] Example 2

[1116] 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."

[1117] Traditional new employee training systems often provide uniform training content and are unable to address the skill levels and learning needs of individual new employees. Furthermore, they do not take into account the emotional state of new employees, which can result in reduced learning effectiveness. Furthermore, they lack real-time monitoring of learning progress and emotional state, making it difficult to provide appropriate feedback and support.

[1118] 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.

[1119] In this invention, the server includes: means for a new employee to log in and input basic information; means for the server to save the new employee's information in a database; means for a manager to schedule a meeting with the new employee and register it in a calendar; means for sending a meeting reminder to the new employee; means for recording the new employee's skills and learning needs at the initial meeting; means for detecting the new employee's emotional state in real time using an emotion recognition engine and recording the data; means for generating a customized educational program for the new employee using a generative AI model; means for adjusting the content and difficulty of the educational program taking the emotional data into consideration; means for the new employee to access the educational program and start learning; means for recording and evaluating the new employee's learning progress in real time; means for monitoring the new employee's emotional state during learning and providing appropriate feedback and support; and means for providing additional learning resources and support information to the manager and the new employee. This enables new employees to receive a personalized educational program and appropriate feedback and support in real time.

[1120] "New hire" refers to an employee who is newly hired by an organization.

[1121] "Logging in" refers to the act of entering authentication information such as a user ID and password to access a system.

[1122] "Basic information" refers to the initial registration data about the user, such as name, department, position, and skill level.

[1123] "Server" refers to a computer system that stores and processes data.

[1124] A "database" refers to a system that efficiently manages large amounts of data and makes it easy to search and manipulate it.

[1125] "Manager" refers to the person in charge of training and managing new employees.

[1126] A "meeting" refers to a gathering of multiple people based on an agenda.

[1127] A "calendar" refers to a system for managing dates, times, and schedules.

[1128] A "reminder notification" is a notification that notifies you in advance so that you don't forget about an appointment.

[1129] "Skills" refer to the abilities and techniques required to perform a specific task.

[1130] "Learning needs" refers to what users want to learn and the knowledge they need.

[1131] "Emotion recognition engine" refers to software used to determine a person's emotions.

[1132] "Emotional state" refers to the mental state the user feels, such as tension, anxiety, or confidence.

[1133] A "generative AI model" refers to a model that uses artificial intelligence to generate optimal educational programs from user data.

[1134] "Customized Educational Program" refers to a learning plan tailored to the needs and skill level of an individual user.

[1135] "Learning Progress" refers to how much of an educational program a user has completed.

[1136] "Feedback" refers to information provided on learning or work results for evaluation and improvement.

[1137] "Support Information" refers to additional knowledge or resources that a User needs to learn or do their job.

[1138] The present invention begins when a new employee logs in and inputs their basic information, and the server stores that information in a database. The hardware and software used in this series of processes will now be described in detail.

[1139] Hardware and Software

[1140] This system uses the following hardware and software:

[1141] Server: A central computer for data processing and storage. Specifically, a Linux server is used.

[1142] Database: A system for persistently storing and managing data. Specifically, we use MySQL.

[1143] Terminal: A device that allows a user to input information or receive notifications. Specifically, this refers to a PC or smartphone.

[1144] Emotion recognition engine: Software for detecting the user's emotional state in real time. Specifically, we use EmoEngine.

[1145] Generative AI model: Artificial intelligence for generating customized educational programs. Specifically, we use OpenAI GPT-4.

[1146] Learning Management System: A system for managing learning progress. Specifically, we use Moodle LMS.

[1147] Overview of program processing

[1148] The flow of the program processing, including each step, is explained below.

[1149] 1. New employee registration:

[1150] A user (new employee) logs in and enters basic information (name, department, position, skill level, etc.).

[1151] The terminal transmits the input information to the server.

[1152] The server receives the information and stores it in a MySQL database.

[1153] The device will display a "Registration Complete" notification.

[1154] 2. Initial Meeting Setup:

[1155] The user (administrator) logs in and schedules a meeting with the new employee.

[1156] The terminal sends the entered meeting details to the server.

[1157] The server registers the information in Google Calendar and sends a reminder the day before the meeting.

[1158] 3. Basic knowledge comprehension and emotion recognition:

[1159] Users (new employees and managers) hold an initial meeting to discuss skills and learning needs.

[1160] The device uses EmoEngine to detect the emotional state of new employees in real time and transmits the data to the server.

[1161] The server stores the meeting content and emotion data in a database.

[1162] 4. Generating educational programs:

[1163] The server analyzes the collected skill information, learning needs, and emotional data and inputs it into OpenAI GPT-4.

[1164] The server generates a customized educational program, adjusting the content and difficulty level as needed.

[1165] The terminal notifies the new employee of the details of the training program and access information.

[1166] 5. Learning and Progress Management:

[1167] A user (new employee) starts an educational program through the Moodle LMS.

[1168] The server records learning progress in real time and automatically generates regular progress check tests to provide feedback.

[1169] The device monitors the user's emotional state while learning, and provides appropriate feedback and assistance if confusion or fatigue is detected.

[1170] 6. Ongoing support and recognition:

[1171] The server generates the latest training information and supporting materials and notifies all employees.

[1172] The server analyzes the learning progress and updates the educational program accordingly.

[1173] The device notifies new employees of updates and accepts support requests.

[1174] Specific examples

[1175] New Employee A:

[1176] 1. New employee A logs in and enters basic information. The terminal sends this information to the server, which stores it in a database.

[1177] 2. The administrator schedules an initial meeting with A and registers it in Google Calendar. A receives a reminder notification the day before the meeting.

[1178] 3. During the meeting, the administrator checks A's skills and learning needs, and EmoEngine detects A's emotional state. The server stores this information.

[1179] 4. The server inputs A’s information into OpenAI GPT-4 to generate a customized training program. The device notifies A of the program details.

[1180] 5. A begins learning using Moodle LMS, and his / her progress is recorded. Progress check tests are automatically generated, and the server provides feedback. EmoEngine monitors A's emotional state during learning, and the device provides appropriate support.

[1181] 6. The server provides the latest training information and supplementary materials, analyzes learning progress, and updates the program. The terminal notifies A of the updates and provides necessary support.

[1182] Prompt Sentence Examples

[1183] "Please tell me the steps for new employee A to use the new AI learning program. Please also explain the emotional data that will be detected during the initial meeting."

[1184] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1185] Step 1:

[1186] New employee login and basic information entry

[1187] A user (new employee) logs in to the system by entering their user ID and password.

[1188] The terminal sends the entered authentication information to the server, and the output is the authentication result.

[1189] The server receives the authentication information and authenticates it by comparing it with the user information stored in the database. If authentication is successful, the user is allowed to log in.

[1190] After logging in, the user enters basic information (name, department, position, skill level, etc.). Input is in form format.

[1191] The terminal sends the entered basic information to the server, and the output is a "Registration Complete" notification.

[1192] The server stores the basic information in a database.

[1193] Step 2:

[1194] Initial Meeting Setup

[1195] A user (administrator) logs in to the system and schedules a meeting with a new employee. Inputs include the date, time, location, and participant information of the meeting.

[1196] The terminal sends the meeting details entered by the administrator to the server, and the output is a calendar entry.

[1197] The server receives the meeting information and registers it on the calendar using the Google Calendar API.

[1198] The terminal sends a reminder to the new employee the day before the meeting. The output is the reminder.

[1199] Step 3:

[1200] Understanding basic knowledge and emotion recognition

[1201] Users (new employees and managers) hold an initial meeting, where managers ask new employees questions about their skills and learning needs and receive answers.

[1202] The device uses EmoEngine to detect the emotional state of new employees in real time. The input is the new employee's facial expression and tone of voice. The output is emotional data.

[1203] The server stores the information obtained during the meeting (skills, learning needs, emotional state) in a database.

[1204] Step 4:

[1205] Educational program generation

[1206] The server analyzes the new employee's information and inputs the data into a generative AI model (OpenAI GPT-4). The inputs are skill information, learning needs, and emotional data.

[1207] The server generates a customized educational program from the generative AI model, and the output is the educational program.

[1208] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[1209] The terminal informs the new employee of the details of the training program and how to access it. The output is a notification message.

[1210] Step 5:

[1211] Learning and progress management

[1212] A user (new employee) accesses an educational program through Moodle LMS and begins learning. The input is the learning content.

[1213] The terminal monitors the user's operations and sends them to the server. The output is learning progress data.

[1214] The server records learning progress in real time and automatically generates regular progress check tests. The output is a progress report and test results.

[1215] The device monitors the user's emotional state during learning, and provides appropriate feedback and assistance if confusion or fatigue is detected. The output is a feedback message.

[1216] Step 6:

[1217] Ongoing support and evaluation

[1218] The server generates the latest training information and supporting materials and provides them to all employees. The input is the latest training information. The output is a notification message.

[1219] The server analyzes the learning progress and updates the educational program as needed. The output is the updated educational program.

[1220] The terminal notifies the new employee of the update. The output is an update notification.

[1221] The terminal receives support requests from new employees and either automatically responds or escalates them to an administrator. The output is the support response result.

[1222] (Application example 2)

[1223] 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."

[1224] Modern companies require new and existing employees to quickly and effectively acquire advanced skills and knowledge, thereby improving productivity. It is also important to provide educational programs that take into account employees' emotional states. However, conventional educational systems have struggled to provide customized educational programs that reflect individual learning progress and emotional states in real time. The present invention aims to solve these problems and maximize employee learning effectiveness.

[1225] 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: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a training program customized for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; and a means for detecting the new employee's emotional state in real time using an emotion recognition engine and providing appropriate support and feedback. This allows new employees to efficiently progress in their learning, and the quality and effectiveness of their learning can be improved by the feedback and adaptive support provided in real time.

[1226] A "new employee" refers to an employee who has been newly hired by a company or organization.

[1227] "Basic information" refers to basic data about new employees, such as name, department, position, and skill level.

[1228] A "server" is a computer system that provides data processing and storage over a network.

[1229] A "database" is a system for systematically storing data and for accessing and managing it as needed.

[1230] An "administrator" is a position that is responsible for overseeing the operation of systems and organizations and setting up training programs and meetings for new employees.

[1231] A "meeting" is a gathering of people for a purpose, where they come together to discuss or discuss something.

[1232] A "calendar" is a system or tool for displaying and managing dates and schedules.

[1233] "Reminder notification" is a function that notifies the user again so that they do not forget their schedule or task.

[1234] "Skills" refer to the specialized knowledge, abilities, and techniques that an individual possesses.

[1235] "Learning needs" refers to the desires and needs of individuals to learn the knowledge and skills they need.

[1236] A "generative AI model" is a system that uses AI technology to automatically create data and programs that meet individual requirements.

[1237] "Customized Educational Program" means educational materials and training plans specifically designed to meet individual needs and skill levels.

[1238] "Learning progress" refers to an individual's progress and achievement in relation to a set educational program.

[1239] "Real time" refers to a state in which immediate processing and response can be performed.

[1240] "Additional learning resources" refers to supplementary learning materials or materials provided in addition to the basic course materials or program.

[1241] "Support information" refers to information such as advice, materials, and guidelines that are necessary to smoothly carry out learning or work.

[1242] An "emotion recognition engine" is a technology or system that detects a user's emotional state from their facial expressions, voice, etc., and records and analyzes it.

[1243] This invention is a system that provides an educational program for managing and supporting the operation and maintenance of factory robots. This system utilizes an emotion recognition engine and generative AI models to provide a personalized learning experience for new employees so that they can learn efficiently. The system's program processing is described in detail below.

[1244] Hardware and software used

[1245] Server: A computer system that provides data processing and storage over a network.

[1246] Database: SQLite is used to store and manage new employee information, meeting information, learning progress, and emotional state.

[1247] Devices: Devices such as smartphones and computers that are used for access by new employees and managers.

[1248] Emotion Recognition Engine: Uses EmotionEngine (provisional library) to detect the user's emotional state in real time.

[1249] Generative AI model: Uses AICustomizer (provisional library) to generate a customized training program based on the new employee's information.

[1250] Specific processing overview of the system

[1251] 1. New employee registration:

[1252] A new employee logs into the system from a terminal and enters basic information.

[1253] The server stores the new employee's input information in a database.

[1254] The device will display a "Registration Complete" notification to the new employee.

[1255] 2. Initial Meeting Setup:

[1256] The administrator logs into the system from a terminal and schedules an initial meeting with the new employee.

[1257] The server stores the meeting information in a database and registers it in a calendar.

[1258] The device sends a reminder to the new employee the day before the meeting.

[1259] 3. Basic knowledge comprehension and emotion recognition:

[1260] An initial meeting between the new employee and manager to discuss the new employee's skills and learning needs.

[1261] The device uses an emotion recognition engine to detect the emotional state of new employees in real time and record the data.

[1262] The server adds the information from the meeting to a database and updates the new employee's profile.

[1263] 4. Generating educational programs:

[1264] The server inputs the new employee's profile information into a generative AI model to generate a customized training program.

[1265] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[1266] The device informs new employees about the training program and how to access it.

[1267] 5. Learning and Progress Management:

[1268] New employees access the educational program from their devices and begin learning.

[1269] The server records the learning progress of new employees in real time and stores it in a database.

[1270] The server automatically generates progress check tests and provides feedback based on the results.

[1271] The device monitors the emotional state of new employees while they are learning, and if confusion or fatigue is detected, it provides appropriate assistance.

[1272] 6. Ongoing support and recognition:

[1273] The server stores the latest training information and supporting materials in a database and provides them to all employees.

[1274] The server analyzes the learning progress of new employees and updates the training program as needed.

[1275] The device will notify the new employee of the updates.

[1276] The device receives support requests from new employees and escalates them to an automated response or administrator.

[1277] Examples of concrete examples and prompts

[1278] Examples:

[1279] New employees log in to the system and enter their basic information.

[1280] Managers schedule initial meetings with new employees and add them to their calendars.

[1281] During the initial meeting, new employees' skills and learning needs are identified and their emotional state is detected using an emotion recognition engine.

[1282] Generative AI models generate customized educational programs.

[1283] New employees learn through an educational program, and devices monitor their progress and emotional state.

[1284] Example prompt sentence:

[1285] "New employees log in to the system and enter their basic information. Then, an administrator schedules an initial meeting and registers it on the calendar. During the initial meeting, the new employee's skills and learning needs are identified, and an emotion recognition engine is used to detect their emotional state. A generative AI model is used to generate and implement a customized training program."

[1286] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1287] Step 1:

[1288] The terminal provides a screen for entering basic information about new employees. The new employee enters their own information (name, department, position, skill level, etc.) and presses the submit button. The entered information is sent to the server in JSON format. The server receives this data and saves it in a database. Once saved, the terminal displays a "Registration Complete" notification to the new employee.

[1289] Step 2:

[1290] The administrator logs into the system from a terminal and enters the new employee's ID, the meeting date and time, location, and participant information on the initial meeting settings screen. The entered information is sent to the server, which stores it in a database. The meeting information is also registered in the calendar system. The server automatically sends a reminder to the new employee the day before the meeting.

[1291] Step 3:

[1292] The terminal conducts an initial meeting between the new employee and the manager on their local terminal. The manager asks the new employee questions about their skills and learning needs and inputs the answers into the terminal. The terminal uses an emotion recognition engine to detect the new employee's emotional state in real time and records the data. The server stores this information and emotional data in a database and updates the new employee's profile.

[1293] Step 4:

[1294] The server inputs the new employee's profile information into a generative AI model and automatically generates a customized training program. The generated program content includes learning items, study period, progress check tests, etc. The server also takes emotional data into account and adjusts the content and difficulty of the program. The terminal notifies the new employee of the details of the training program and how to access it.

[1295] Step 5:

[1296] New employees access the educational program from their devices and begin learning. The devices record the new employee's learning progress and send it to a server in real time. The server stores this progress data in a database and automatically generates a progress check test. The results of the progress check test are fed back to the new employee. The devices also monitor the employee's emotional state during learning, displaying support messages if confusion or fatigue is detected.

[1297] Step 6:

[1298] The server periodically updates the latest training information and supporting materials for new and existing employees and stores them in a database. The terminal notifies new employees of the updates and provides access instructions as needed. Support requests from new employees are entered into the terminal, and the server receives them and either escalates them to an automated response system for processing or contacts an administrator.

[1299] 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.

[1300] 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.

[1301] 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.

[1302] [Third embodiment]

[1303] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1304] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1305] 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).

[1306] 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.

[1307] 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.

[1308] 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).

[1309] 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.

[1310] 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.

[1311] 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.

[1312] 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.

[1313] 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.

[1314] 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."

[1315] This invention is a system that enables all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. This system involves inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, and managing and providing feedback on learning progress.

[1316] System program and processing overview

[1317] The program of this system is configured as follows:

[1318] 1. New employee registration:

[1319] A user (new employee) logs in to the system and enters basic information, including name, department, position, and skill level.

[1320] The server receives the information entered by the new employee and stores it in a database.

[1321] The device will display a "Registration Complete" notification.

[1322] 2. Initial Meeting Setup:

[1323] The user (administrator) logs in to the system and schedules an initial meeting with the new employee. The user enters the date, time, and details of the meeting.

[1324] The server saves the meeting schedule and registers it in the calendar.

[1325] The device sends a reminder to the new employee the day before the meeting.

[1326] 3. Understanding the basics:

[1327] Users (new employees and managers) meet to discuss the new employees' skills and learning needs.

[1328] The server records the information from the meeting and adds it to the new employee's profile.

[1329] 4. Generating educational programs:

[1330] The server analyzes the basic knowledge and learning needs of new employees and inputs them into a generative AI model.

[1331] The server generates a customized educational program from the generated AI model, including learning items, study period, and progress check tests.

[1332] The device will then inform the new hire of the details of their customized training program and how to access it.

[1333] 5. Learning and Progress Management:

[1334] The user (new employee) accesses the notified educational program and begins learning.

[1335] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[1336] The server periodically evaluates learning progress and automatically generates progress check tests.

[1337] The device presents a progress check test and notifies the new employee of the results.

[1338] 6. Ongoing support and recognition:

[1339] The server generates the latest training information and supporting materials and provides them to all employees.

[1340] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[1341] The device will notify you of updated educational programs and additional learning resources.

[1342] The device receives support requests for learning questions or issues and responds automatically or escalates to an administrator.

[1343] Specific examples

[1344] Example: New employee A

[1345] 1. New employee registration:

[1346] New employee A logs in to the system and enters basic information (name, department, position, skill level, etc.).

[1347] The server saves the information of new employee A in the database.

[1348] The device will display a "Registration Complete" notification.

[1349] 2. Initial Meeting Setup:

[1350] The manager schedules an initial meeting with new employee A and registers it on the calendar.

[1351] The device sends a reminder to new employee A the day before the meeting.

[1352] 3. Understanding the basics:

[1353] New employee A and a manager have an initial meeting to discuss the skills and learning needs of new employee A. For example, new employee A has basic knowledge of Python and wants to learn data analysis.

[1354] The server records the meeting information and adds it to New Employee A's profile.

[1355] 4. Generating educational programs:

[1356] The server analyzes the information of new employee A and uses a generative AI model to generate a customized training program, such as "Python Basics," "Introduction to Data Analysis," "One-month study period," and "Weekly progress check tests."

[1357] The device notifies new employee A of the details of the training program and how to access it.

[1358] 5. Learning and Progress Management:

[1359] New employee A accesses the educational program and begins learning.

[1360] The server records the learning progress of new employee A in real time.

[1361] The server automatically generates progress check tests and evaluates learning progress based on the results.

[1362] The terminal notifies new employee A of the test results.

[1363] 6. Ongoing support and recognition:

[1364] The server provides the latest training information and supporting materials to the entire organization.

[1365] The server analyzes the learning progress of new employee A and updates the training program as necessary.

[1366] Your device will notify you of updates and additional learning resources.

[1367] The device receives the support request and escalates it to an automated response or administrator.

[1368] In this way, this invention is a system that helps new employees quickly acquire AI knowledge and adapt to their work, thereby increasing the productivity and competitiveness of the entire organization. Furthermore, by providing regular training and support not only to new employees but also to existing employees, the knowledge assets of the entire organization are strengthened.

[1369] The processing flow will be explained below.

[1370] Step 1:

[1371] New employee registration

[1372] A user (new employee) logs in to the system and enters basic information (name, department, position, skill level, etc.).

[1373] The server receives the information entered by the new employee and stores it in a database.

[1374] The device will display a "Registration Complete" notification.

[1375] Step 2:

[1376] Initial Meeting Setup

[1377] The user (administrator) logs in to the system and sets up an initial meeting with a new employee. Specifically, the user enters the date, time, location, and participant information of the meeting.

[1378] The server stores the meeting information and registers it in the calendar.

[1379] The device sends a reminder to the new employee the day before the meeting.

[1380] Step 3:

[1381] Understanding the basics

[1382] Users (new employees and managers) hold an initial meeting. The manager asks the new employee questions about their skills and learning needs and listens to their responses.

[1383] The server records the information obtained during the meeting (the new employee's skills, interests, and learning needs) and adds it to the new employee's profile.

[1384] Step 4:

[1385] Educational program generation

[1386] The server analyzes the recorded information of new employees and inputs the data into a generative AI model.

[1387] The server uses the generative AI model to generate a customized training program for new employees, including learning topics, study period, and progress check tests.

[1388] The device informs new employees about the training program and how to access it.

[1389] Step 5:

[1390] Learning and progress management

[1391] The user (new employee) accesses the notified educational program and begins learning.

[1392] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[1393] The server periodically evaluates learning progress and automatically generates progress check tests.

[1394] The device provides new employees with a progress check test and notifies them of the results.

[1395] Step 6:

[1396] Ongoing support and evaluation

[1397] The server generates the latest training information and supporting materials and provides them to all employees.

[1398] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[1399] The device notifies new employees of updated educational programs and additional learning resources.

[1400] The device receives support requests from new employees and automatically responds or escalates them to an administrator.

[1401] In this way, specific actions are implemented at each step, creating a system that allows new employees to learn effectively through the training program.

[1402] Example 1

[1403] 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."

[1404] Traditional training systems lack the support required for new employees to effectively acquire AI knowledge and quickly adapt to their work. It also makes it difficult for existing employees to continuously improve their skills and manage their learning progress. This can lead to a decline in productivity across the organization and potentially affect a company's competitiveness.

[1405] 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.

[1406] In this invention, the server includes: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a customized training program for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; a means for automatically generating a progress check test based on the new employee's skills and needs; and a means for analyzing the new employee's learning progress data and continuously updating the training program. This enables new employees to quickly and effectively acquire AI knowledge and improves the productivity and competitiveness of the entire organization.

[1407] 1. "Login" means the process by which a user is authenticated by entering credentials to access a system.

[1408] 2. "Basic information" refers to personal information such as name, department, position, and skill level that new employees enter into the system.

[1409] 3. A "database" is a system for efficiently storing, managing, and searching information.

[1410] 4. "Calendar" means a tool or system for registering and managing schedules and events.

[1411] 5. "Reminder Notification" means a notification sent before a scheduled event or task.

[1412] 6. An “initial meeting” is the first interview or meeting between a new employee and a manager to understand the new employee’s skills and learning needs.

[1413] 7. "Skills" are specific knowledge and technical abilities that new employees possess.

[1414] 8. "Learning needs" are the knowledge and skill requirements that new employees must acquire.

[1415] 9. A “generative AI model” is an artificial intelligence model that is trained to perform a specific task based on input data.

[1416] 10. "Customized Education Program" means a learning plan specifically designed based on the skills and learning needs of a new employee.

[1417] 11. "Learning Progress" is information about how well a new employee progresses through each stage of the training program.

[1418] 12. "Real-time recording and evaluation" is the process of instantly recording and evaluating ongoing information.

[1419] 13. “Additional Learning Resources” means supplementary learning materials or materials provided to new hires to further their learning.

[1420] 14. "Support Information" means information provided to assist with learning or work.

[1421] 15. "Progress Test" means a test administered periodically to assess a new employee's learning progress.

[1422] 16. "Analyzing learning progress data" is the process of analyzing data on new employees' learning progress and creating future learning plans.

[1423] 17. "Updating an educational program" means changing or improving an existing educational program based on new information or requirements.

[1424] This invention is a system that allows all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. This system involves inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, and managing and providing feedback on learning progress. Specific implementation methods are shown below.

[1425] First, the user (new employee) logs in to the system and enters basic information about the new employee. This basic information includes name, department, position, skill level, etc. The server receives this information and stores it in the database. The terminal displays a notification that "Registration Complete."

[1426] Next, the user (administrator) logs in to the system and schedules an initial meeting with the new employee. The date, time, and details of the meeting are entered, and the server saves the meeting schedule and registers it in the calendar. The terminal then sends a reminder to the new employee the day before the meeting.

[1427] In the initial meeting, users (new employee and manager) discuss the new employee's skills and learning needs. For example, if the new employee has basic knowledge of Python and wants to learn data analysis, the manager records this information in the system. The server receives the meeting information and adds it to the new employee's profile.

[1428] Next, the server analyzes the new employee's basic knowledge and learning needs and inputs them into the generative AI model. This process includes generating prompts using the generative AI model, such as "Please generate an educational program based on new employee B's basic knowledge and learning needs." The server then generates a customized educational program from the generative AI model and notifies the device of the details. The program includes learning items, learning period, progress check tests, etc.

[1429] The user (new employee) receives the notification and accesses the educational program to begin learning. The server records the new employee's learning progress in real time. Each time the new employee completes a learning module, the progress information is sent to the server and stored in a database. The server also automatically generates a progress check test and evaluates the new employee's learning progress based on the results. The terminal notifies the new employee of the test results.

[1430] The server generates the latest training information and supporting materials as ongoing support and provides them to the entire organization. Furthermore, the server analyzes new employees' learning progress data and updates the training program as needed. Updated content and additional learning resources are notified to new employees via their devices. If new employees need support during their training, the devices receive support requests and automatically respond or escalate them to an administrator.

[1431] The system enables new employees to quickly and effectively acquire AI knowledge, improving productivity and competitiveness across the organization, while also providing regular training and additional support to existing employees, thereby raising the level of knowledge across the organization.

[1432] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1433] Step 1:

[1434] New employees log in and enter their basic information

[1435] A user (new employee) accesses the system's login screen and logs in by entering authentication information (user ID and password). After logging in, a form for entering basic information (name, department, position, skill level, etc.) is displayed. The user enters the basic information and presses the submit button.

[1436] Input: User ID, password, name, department, position, skill level

[1437] Output: Basic information sent to the system

[1438] Specific behavior: The form input is sent to the server.

[1439] Step 2:

[1440] The server receives the new employee information and stores it in the database.

[1441] The server receives the basic information sent by the user and stores it in a database, for example by performing an INSERT operation using an SQL statement.

[1442] Input: Basic information (name, department, position, skill level)

[1443] Output: User information is saved in the database

[1444] Specific operation: The server converts the received data into the appropriate format and performs an INSERT operation on the database.

[1445] Step 3:

[1446] The device displays a "Registration complete" notification

[1447] The server confirms that the data has been saved to the database and sends an instruction to display a "Registration Complete" notification on the terminal.

[1448] Input: Notification of completion of saving to database

[1449] Output: A "Registration complete" notification will appear on your device.

[1450] Specific behavior: The device displays a message to the user indicating that the save was successful.

[1451] Step 4:

[1452] Managers schedule initial meetings with new employees and register them on the calendar

[1453] A user (administrator) logs into the system and enters the date, time, and details of an initial meeting with a new employee. When the administrator presses the "Book" button, the server saves the meeting schedule in the database and synchronizes it with the calendar system.

[1454] Input: Meeting date and time, details

[1455] Output: A meeting is added to the calendar.

[1456] Specific operation: The server saves the input information in a database and synchronizes it using the calendar API.

[1457] Step 5:

[1458] The device will send a reminder the day before the meeting

[1459] The day before the meeting, the server generates a reminder notification and instructs the terminal to send the notification.

[1460] Input: Meeting Schedule Information

[1461] Output: A reminder notification is displayed on the new employee's device.

[1462] Specific behavior: The device displays a reminder notification to the new employee.

[1463] Step 6:

[1464] Record new hires' skills and learning needs during initial meetings

[1465] Users (new hires and managers) hold an initial meeting to discuss the new hire's skills and learning needs, which the manager then manually enters into the system.

[1466] Input: New employee skills and learning needs

[1467] Output: Meeting information is saved to the database

[1468] Specific operation: The administrator enters the details of the discussion into the system, and the server stores it in the database.

[1469] Step 7:

[1470] The server analyzes the new employee's information and inputs it into the generative AI model.

[1471] The server passes the new employee's basic information and meeting information to the data analysis engine for analysis, and inputs prompt statements into the generative AI model based on the analysis results.

[1472] Input: Basic information of new employee, meeting information

[1473] Output: The prompt sentence that is fed into the generative AI model

[1474] Specific operation: The server generates a prompt sentence based on the analysis results and inputs it into the generative AI model.

[1475] Step 8:

[1476] The server generates a customized educational program using the generative AI model.

[1477] The generative AI model generates a customized educational program based on the prompt sentence, and the server receives the results, including learning items, learning period, and progress check tests.

[1478] Input: prompt statement

[1479] Output: Customized educational program

[1480] Specific operation: The generative AI model generates a training program, which is received by the server and stored in a database.

[1481] Step 9:

[1482] The device displays the details of the educational program.

[1483] The server sends a notification containing details of the generated training program to the terminal, which displays it to the new employee.

[1484] Input: Educational program details

[1485] Output: Details of the training program are displayed on the new employee's terminal.

[1486] Specific behavior: The device displays an access link and detailed information about the educational program.

[1487] Step 10:

[1488] New employees access educational programs and begin learning

[1489] The user (new employee) receives a notification, accesses the educational program, and begins learning, progressing through each learning module and completing assignments and tests.

[1490] Input: Educational program access link

[1491] Output: Learning progress data

[1492] Specific behavior: New employees access educational programs and learn.

[1493] Step 11:

[1494] The server records your learning progress in real time

[1495] As new employees complete each module, their progress data is sent to a server and recorded in a database.

[1496] Input: Learning progress information

[1497] Output: Progress data stored in a database

[1498] What it does: The server receives progress data in real time and records it in a database.

[1499] Step 12:

[1500] The server automatically generates progress check tests and provides them to new employees.

[1501] The server automatically generates a progress check test based on the learning progress and provides the test to the new employee.

[1502] Input: Learning progress data

[1503] Output: Auto-generated progress test

[1504] Specific operation: A generative AI model is used to generate progress check tests and provide them to new employees.

[1505] Step 13:

[1506] The device will notify you of the test results.

[1507] Once the new employee has completed the test, the results are sent to the server, which evaluates them and sends the results to the terminal to notify the new employee.

[1508] Input: Test result data

[1509] Output: Notification of evaluation results

[1510] Specific operation: The server evaluates the test results and notifies the new employee of the evaluation results.

[1511] Step 14:

[1512] The server provides the latest training information and supporting materials

[1513] For ongoing support, the server uses generative AI models to generate up-to-date training information and supporting materials, which are then distributed across the organization.

[1514] Input: Required training information and supporting materials

[1515] Output: Latest training information and supporting materials

[1516] What it does: Uses a generative AI model to generate new training materials and provide them to all employees.

[1517] Step 15:

[1518] The server analyzes the learning progress data and updates the educational program.

[1519] The server analyzes the learning progress data of new employees and updates the training program as necessary.

[1520] Input: Learning progress data

[1521] Output: Updated educational program

[1522] Specific operation: The server reviews the educational program based on the learning progress data and updates it as necessary.

[1523] Step 16:

[1524] The device will notify you of updated educational programs

[1525] The server transmits updated contents of the training program to the terminal, and the terminal notifies the new employee of the contents.

[1526] Input: Updated educational program information

[1527] Output: Updates notified to new employees

[1528] What it does: Your device will display updates and new learning resources.

[1529] Step 17:

[1530] The device receives a support request

[1531] If a new employee needs help during their learning, they can fill out and submit a support request form on their device.

[1532] Input: Support Request

[1533] Output: A support request is sent to the server

[1534] Specific operation: The device manages support requests and sends them to the server.

[1535] Step 18:

[1536] Escalate support requests to an automated response or administrator

[1537] When a support request is received, the server displays a pre-defined FAQ response or escalates it to an administrator if a response is required.

[1538] Input: Support Request

[1539] Output: Response message or escalation notification

[1540] Specific action: The server will either issue an automatic response or send an escalation notification to the administrator.

[1541] (Application example 1)

[1542] 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."

[1543] The challenge for new employees at logistics facilities is to quickly adapt to their work and acquire skills. Conventional training methods make it difficult for new employees to effectively learn logistics work, so the introduction of an efficient training system is required.

[1544] 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.

[1545] In this invention, the server includes: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a customized training program for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; and a means for an autonomous robot to guide the new employee through the logistics facility and explain the work process. This enables the new employee to effectively learn the basics of logistics work and quickly adapt to the field.

[1546] A "new employee" is an employee who has been newly hired by a company or organization.

[1547] "Logging in" is the process by which a user authenticates by entering authentication information to access a system.

[1548] "Basic information" refers to basic data about a user, such as the individual's name, department, and skill level.

[1549] A "server" is a computer system that stores and processes data on a network.

[1550] A "database" is an organized collection of data for efficiently storing, managing, and retrieving information.

[1551] An "administrator" is a person in charge of managing systems and business processes.

[1552] A "meeting" is a gathering of multiple people to share information and hold discussions.

[1553] A "calendar" is a tool for managing date and time information.

[1554] A "notification" is a message intended to inform the user of specific information.

[1555] An "initial meeting" is a new employee's first meeting with their manager.

[1556] A "skill" is the ability to perform a specific job or task.

[1557] "Learning needs" are the learning goals that individuals want to achieve and the knowledge and skills they want to acquire.

[1558] A "generative AI model" is an artificial intelligence model that is generated based on machine learning or deep learning.

[1559] A "customized educational program" is a learning plan designed to meet individual needs.

[1560] "Access" means performing operations such as reading and writing on a system or data.

[1561] "Study progress" refers to the progress and level of achievement in learning.

[1562] "Real-time" means that processing and updates are done immediately, without delay.

[1563] "Evaluation" is the process of determining and evaluating learning outcomes and progress.

[1564] "Additional learning resources" are supplementary materials or information provided in addition to existing learning materials.

[1565] "Support information" is information that supports learning and work execution.

[1566] An "autonomous robot" is a robot that can act and make decisions on its own without human intervention.

[1567] A "logistics facility" is a place where operations such as the storage, management, and transportation of goods are carried out.

[1568] "Guiding" means providing guidance and explanations.

[1569] A "business process" is a series of steps or procedures for carrying out a specific business operation.

[1570] This invention is a system for enabling new employees at logistics facilities to efficiently learn and quickly adapt to their work. The system's components include a means for new employees to input information, a means for generating a customized training program using a generative AI model, and a means for an autonomous robot to guide new employees through the logistics facility and explain the work process.

[1571] System program and processing overview

[1572] New employee registration

[1573] Users (new employees) log in to the system using a dedicated tablet device and enter basic information, such as their name, department, and skill level.

[1574] The server receives the information entered by the new employee and stores it in a database, which is used in subsequent processes.

[1575] Initial Meeting Setup

[1576] The user (administrator) logs in to the server and schedules an initial meeting with the new employee. The user registers the date, time, and details of the meeting in the calendar.

[1577] The server stores the meeting schedule and sends a reminder to the new employee the day before the meeting.

[1578] Understanding the basics

[1579] Users (new employee and manager) meet to discuss the new employee's skills and learning needs, and this information is recorded by the server and added to the new employee's profile.

[1580] Educational program generation

[1581] The server analyzes the basic knowledge and learning needs of new employees and uses a generative AI model to generate a customized training program, including learning items, study period, and progress check tests.

[1582] The server notifies the new employee of the details of the training program and how to access it.

[1583] Learning and progress management

[1584] New employees access the received educational program and begin learning.

[1585] The server records the learning progress of new employees in real time, evaluates them according to their progress, and periodically generates progress check tests and notifies the results to new employees.

[1586] Autonomous robotic guidance

[1587] The autonomous robot guides new employees through the logistics facility, explaining each process. The robot follows a pre-programmed route and provides detailed explanations at key operational points.

[1588] Ongoing support and evaluation

[1589] The server generates the latest training information and supporting materials and provides them to all employees. It also analyzes the learning progress and performance of new employees and updates the training program as needed.

[1590] The tablet notifies users of updated educational programs and additional learning resources, and also receives support requests, which are automatically responded to or escalated to an administrator.

[1591] Specific examples

[1592] For example, suppose that in order for new employee B to effectively learn work at a logistics facility, he or she is required to have basic skills in Python and data analysis at the initial meeting, and additional knowledge of robot operation is required. In this case, the training program would include "Python Basics," "Introduction to Data Analysis," and "Robot Operation," with periodic progress check tests.

[1593] Examples of prompts for AI models

[1594] Based on the profile of new employee B, please create a customized training program that covers the skill set required in a logistics facility. B has basic knowledge of logistics operations and would like to strengthen his robot operation skills. The program should include a one-month learning plan, including weekly progress check tests. Please provide details, including specific learning items, duration, and evaluation method.

[1595] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1596] Step 1:

[1597] Users (new employees) log in to the system using a dedicated tablet device and enter basic information (such as name, department, skill level, etc.) The entered information is sent to the server.

[1598] Input: Basic information about the new employee.

[1599] Output: Basic information is saved in the database.

[1600] How it works: When a user enters information into a form on a tablet and hits the submit button, the server stores this information in a database.

[1601] Step 2:

[1602] The server stores the received information about the new employee in a database.

[1603] Input: Basic information entered by the new hire.

[1604] Output: New employee information recorded in the database.

[1605] How it works: The server calls the database save API to persist the information.

[1606] Step 3:

[1607] The user (administrator) logs in to the server and schedules an initial meeting with a new employee. The user enters the date, time, and details of the meeting and registers it in the calendar.

[1608] Input: Initial meeting date, time and details.

[1609] Output: Meeting information registered in the calendar.

[1610] How it works: Administrators enter meeting information through a web interface, and the server registers it in the calendar.

[1611] Step 4:

[1612] The server stores the meeting schedule and sends a reminder to the new employee the day before the meeting.

[1613] Input: Schedule initial meeting.

[1614] Output: Reminder notification sent to new employee.

[1615] How it works: The server generates reminders based on schedule information and sends them using the notification API.

[1616] Step 5:

[1617] Users (new employees and managers) hold an initial meeting to discuss the new employee's skills and learning needs, and this information is recorded by the server.

[1618] Input: New employee skills and learning needs.

[1619] Output: Recorded new employee skill profile.

[1620] How it works: The administrator enters what was discussed during the meeting, and the server stores it in a profile.

[1621] Step 6:

[1622] The server analyzes the basic knowledge and learning needs of new employees and generates a customized training program using a generative AI model.

[1623] Input: New employee skill profile.

[1624] Output: A customized educational program.

[1625] How it works: The server inputs profile information into the AI ​​model and formats the generated learning plan as a program.

[1626] Step 7:

[1627] The server notifies the new employee of the details of the training program and how to access it.

[1628] Enter: customized educational programs.

[1629] Output: Detailed notification of educational program.

[1630] How it works: The server uses the Notification API to send details of the training program to the new employee's tablet.

[1631] Step 8:

[1632] New employees access the received educational program and begin learning.

[1633] Enter: Educational Programs.

[1634] Output: Learning progress data.

[1635] Operation: A new employee accesses the training program and progresses through the learning content. Their progress is sent to the server.

[1636] Step 9:

[1637] The server records the learning progress of new employees in real time, evaluates them according to their progress, and periodically generates progress check tests and notifies the results to new employees.

[1638] Input: Learning progress data.

[1639] Output: Progress assessment and confirmation test results.

[1640] How it works: The server analyzes learning progress data, generates tests based on the progress using an AI model, and notifies the user of progress evaluation and test results.

[1641] Step 10:

[1642] The autonomous robot guides new employees through the logistics facility and explains each work process.

[1643] Input: Preset guide program.

[1644] Output: Job explanation for new employees.

[1645] How it works: The robot follows a pre-defined route, explaining the business process at key points.

[1646] Step 11:

[1647] The server generates the latest training information and supporting materials and provides them to all employees. It also analyzes the learning progress and performance of new employees and updates the training program as needed.

[1648] Input: Latest training data and learning progress data.

[1649] Output: Updated educational program and supporting materials.

[1650] How it works: The server collects training information and uses AI models to analyze, update, and inform educational programs and supporting materials.

[1651] Step 12:

[1652] The tablet notifies users of updated educational programs and additional learning resources, and also receives support requests, which are automatically responded to or escalated to an administrator.

[1653] Input: Updated education programs and support requests.

[1654] Output: Notification and support response.

[1655] What it does: The tablet notifies you of updates and processes and responds to support requests, or escalates them to an administrator as needed.

[1656] 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.

[1657] This invention is a system that enables all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. It also incorporates an emotion engine that recognizes user emotions to maximize the effectiveness of training programs. This system includes inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, managing and providing feedback on learning progress, and recognizing and providing feedback on emotions.

[1658] System program and processing overview

[1659] The program of this system is configured as follows:

[1660] 1. New employee registration:

[1661] A user (new employee) logs in to the system and enters basic information (name, department, position, skill level, etc.).

[1662] The server receives the information entered by the new employee and stores it in a database.

[1663] The device will display a "Registration Complete" notification.

[1664] 2. Initial Meeting Setup:

[1665] The user (administrator) logs in to the system and sets up an initial meeting with a new employee. Specifically, the user enters the date, time, location, and participant information of the meeting.

[1666] The server stores the meeting information and registers it in the calendar.

[1667] The device sends a reminder to the new employee the day before the meeting.

[1668] 3. Basic knowledge comprehension and emotion recognition:

[1669] Users (new employees and managers) hold an initial meeting, where the manager asks the new employee questions about their skills and learning needs and listens to their responses.

[1670] The device uses an emotion engine to detect the new employee's emotional state (e.g., nervousness, anxiety, confidence, etc.) in real time and records the data.

[1671] The server records information gathered during the meeting (the new hire's skills, interests, learning needs, and emotional state) and adds it to the new hire's profile.

[1672] 4. Generating educational programs:

[1673] The server analyzes the recorded information of new employees and inputs the data into a generative AI model.

[1674] The server uses the generative AI model to generate a customized training program for new employees, including learning topics, study period, and progress check tests.

[1675] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[1676] The device informs new employees about the training program and how to access it.

[1677] 5. Learning and Progress Management:

[1678] The user (new employee) accesses the notified educational program and begins learning.

[1679] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[1680] The server periodically evaluates learning progress and automatically generates progress check tests.

[1681] The device provides new employees with a progress check test and notifies them of the results.

[1682] The device monitors the user's emotional state (e.g., confusion, fatigue) during learning and provides feedback and assistance based on that.

[1683] 6. Ongoing support and recognition:

[1684] The server generates the latest training information and supporting materials and provides them to all employees.

[1685] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[1686] The device notifies new employees of updated educational programs and additional learning resources.

[1687] The terminal receives support requests (questions and problems) from new employees and automatically responds or escalates them to an administrator.

[1688] Specific examples

[1689] Example: New employee A

[1690] 1. New employee registration:

[1691] New employee A logs in to the system and enters basic information (name, department, position, skill level, etc.).

[1692] The server saves the information of new employee A in the database.

[1693] The device will display a "Registration Complete" notification.

[1694] 2. Initial Meeting Setup:

[1695] The manager schedules an initial meeting with new employee A and registers it on the calendar.

[1696] The device sends a reminder to new employee A the day before the meeting.

[1697] 3. Basic knowledge comprehension and emotion recognition:

[1698] New employee A and the manager have an initial meeting to discuss New employee A's skills and learning needs. The manager asks questions and New employee A answers them.

[1699] The terminal uses an emotion engine to detect the emotional state (e.g., tension or anxiety) of new employee A in real time.

[1700] The server adds the recorded information and emotional state to New Hire A's profile.

[1701] 4. Generating educational programs:

[1702] The server analyzes the information of new employee A and generates a customized training program using a generative AI model. The program includes topics such as "Python Basics," "Introduction to Data Analysis," and "One-Month Learning Period."

[1703] The server takes emotional data into account and adjusts the program content and difficulty.

[1704] The device notifies new employee A of the details of the training program and how to access it.

[1705] 5. Learning and Progress Management:

[1706] New employee A accesses the educational program and begins learning.

[1707] The server records the learning progress of new employee A in real time.

[1708] The server automatically generates progress check tests and provides feedback based on the results.

[1709] The device monitors the emotional state of new employee A while he is learning, and if confusion or fatigue is detected, it provides appropriate feedback and support.

[1710] 6. Ongoing support and recognition:

[1711] The server provides the latest training information and supporting materials to everyone in the organization.

[1712] The server analyzes the learning progress of new employee A and updates the training program.

[1713] The terminal notifies new employee A of the updated information.

[1714] The device receives a support request from new employee A and escalates it to an automated response or administrator.

[1715] In this way, this invention is a system that helps new employees quickly acquire and adapt to AI knowledge, improving the productivity and competitiveness of the entire organization.In addition, by introducing an emotion engine, the learning effect can be further improved by optimizing the training program taking into account the user's emotions.

[1716] The processing flow will be explained below.

[1717] Step 1:

[1718] New employee registration

[1719] A user (new employee) logs in to the system and enters basic information (name, department, position, skill level, etc.).

[1720] The server receives the information entered by the new employee and stores it in a database.

[1721] The device will display a "Registration Complete" notification.

[1722] Step 2:

[1723] Initial Meeting Setup

[1724] The user (administrator) logs in to the system and sets up an initial meeting with a new employee. Specifically, the user enters the date, time, location, and participant information of the meeting.

[1725] The server stores the meeting information and registers it in the calendar.

[1726] The device sends a reminder to the new employee the day before the meeting.

[1727] Step 3:

[1728] Understanding basic knowledge and emotion recognition

[1729] Users (new employees and managers) hold an initial meeting, where the manager asks the new employee questions about their skills and learning needs and listens to their responses.

[1730] The device uses an emotion engine to detect the new employee's emotional state (e.g., nervousness, anxiety, confidence, etc.) in real time and records the data.

[1731] The server records information gathered during the meeting (the new hire's skills, interests, learning needs, and emotional state) and adds it to the new hire's profile.

[1732] Step 4:

[1733] Educational program generation

[1734] The server analyzes the recorded information of new employees and inputs the data into a generative AI model.

[1735] The server uses the generative AI model to generate a customized training program for new employees, including learning topics, study period, and progress check tests.

[1736] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[1737] The device informs new employees about the training program and how to access it.

[1738] Step 5:

[1739] Learning and progress management

[1740] The user (new employee) accesses the notified educational program and begins learning.

[1741] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[1742] The server periodically evaluates learning progress and automatically generates progress check tests.

[1743] The device provides new employees with a progress check test and notifies them of the results.

[1744] The device monitors the user's emotional state (e.g., confusion, fatigue) during learning and provides feedback and assistance based on that.

[1745] Step 6:

[1746] Ongoing support and evaluation

[1747] The server generates the latest training information and supporting materials and provides them to all employees.

[1748] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[1749] The device notifies new employees of updated educational programs and additional learning resources.

[1750] The device receives support requests from new employees and automatically responds or escalates them to an administrator.

[1751] Example 2

[1752] 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."

[1753] Traditional new employee training systems often provide uniform training content and are unable to address the skill levels and learning needs of individual new employees. Furthermore, they do not take into account the emotional state of new employees, which can result in reduced learning effectiveness. Furthermore, they lack real-time monitoring of learning progress and emotional state, making it difficult to provide appropriate feedback and support.

[1754] 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.

[1755] In this invention, the server includes: means for a new employee to log in and input basic information; means for the server to save the new employee's information in a database; means for a manager to schedule a meeting with the new employee and register it in a calendar; means for sending a meeting reminder to the new employee; means for recording the new employee's skills and learning needs at the initial meeting; means for detecting the new employee's emotional state in real time using an emotion recognition engine and recording the data; means for generating a customized educational program for the new employee using a generative AI model; means for adjusting the content and difficulty of the educational program taking the emotional data into consideration; means for the new employee to access the educational program and start learning; means for recording and evaluating the new employee's learning progress in real time; means for monitoring the new employee's emotional state during learning and providing appropriate feedback and support; and means for providing additional learning resources and support information to the manager and the new employee. This enables new employees to receive a personalized educational program and appropriate feedback and support in real time.

[1756] "New hire" refers to an employee who is newly hired by an organization.

[1757] "Logging in" refers to the act of entering authentication information such as a user ID and password to access a system.

[1758] "Basic information" refers to the initial registration data about the user, such as name, department, position, and skill level.

[1759] "Server" refers to a computer system that stores and processes data.

[1760] A "database" refers to a system that efficiently manages large amounts of data and makes it easy to search and manipulate it.

[1761] "Manager" refers to the person in charge of training and managing new employees.

[1762] A "meeting" refers to a gathering of multiple people based on an agenda.

[1763] A "calendar" refers to a system for managing dates, times, and schedules.

[1764] A "reminder notification" is a notification that notifies you in advance so that you don't forget about an appointment.

[1765] "Skills" refer to the abilities and techniques required to perform a specific task.

[1766] "Learning needs" refers to what users want to learn and the knowledge they need.

[1767] "Emotion recognition engine" refers to software used to determine a person's emotions.

[1768] "Emotional state" refers to the mental state the user feels, such as tension, anxiety, or confidence.

[1769] A "generative AI model" refers to a model that uses artificial intelligence to generate optimal educational programs from user data.

[1770] "Customized Educational Program" refers to a learning plan tailored to the needs and skill level of an individual user.

[1771] "Learning Progress" refers to how much of an educational program a user has completed.

[1772] "Feedback" refers to information provided on learning or work results for evaluation and improvement.

[1773] "Support Information" refers to additional knowledge or resources that a User needs to learn or do their job.

[1774] The present invention begins when a new employee logs in and inputs their basic information, and the server stores that information in a database. The hardware and software used in this series of processes will now be described in detail.

[1775] Hardware and Software

[1776] This system uses the following hardware and software:

[1777] Server: A central computer for data processing and storage. Specifically, a Linux server is used.

[1778] Database: A system for persistently storing and managing data. Specifically, we use MySQL.

[1779] Terminal: A device that allows a user to input information or receive notifications. Specifically, this refers to a PC or smartphone.

[1780] Emotion recognition engine: Software for detecting the user's emotional state in real time. Specifically, we use EmoEngine.

[1781] Generative AI model: Artificial intelligence for generating customized educational programs. Specifically, we use OpenAI GPT-4.

[1782] Learning Management System: A system for managing learning progress. Specifically, we use Moodle LMS.

[1783] Overview of program processing

[1784] The flow of the program processing, including each step, is explained below.

[1785] 1. New employee registration:

[1786] A user (new employee) logs in and enters basic information (name, department, position, skill level, etc.).

[1787] The terminal transmits the input information to the server.

[1788] The server receives the information and stores it in a MySQL database.

[1789] The device will display a "Registration Complete" notification.

[1790] 2. Initial Meeting Setup:

[1791] The user (administrator) logs in and schedules a meeting with the new employee.

[1792] The terminal sends the entered meeting details to the server.

[1793] The server registers the information in Google Calendar and sends a reminder the day before the meeting.

[1794] 3. Basic knowledge comprehension and emotion recognition:

[1795] Users (new employees and managers) hold an initial meeting to discuss skills and learning needs.

[1796] The device uses EmoEngine to detect the emotional state of new employees in real time and transmits the data to the server.

[1797] The server stores the meeting content and emotion data in a database.

[1798] 4. Generating educational programs:

[1799] The server analyzes the collected skill information, learning needs, and emotional data and inputs it into OpenAI GPT-4.

[1800] The server generates a customized educational program, adjusting the content and difficulty level as needed.

[1801] The terminal notifies the new employee of the details of the training program and access information.

[1802] 5. Learning and Progress Management:

[1803] A user (new employee) starts an educational program through the Moodle LMS.

[1804] The server records learning progress in real time and automatically generates regular progress check tests to provide feedback.

[1805] The device monitors the user's emotional state while learning, and provides appropriate feedback and assistance if confusion or fatigue is detected.

[1806] 6. Ongoing support and recognition:

[1807] The server generates the latest training information and supporting materials and notifies all employees.

[1808] The server analyzes the learning progress and updates the educational program accordingly.

[1809] The device notifies new employees of updates and accepts support requests.

[1810] Specific examples

[1811] New Employee A:

[1812] 1. New employee A logs in and enters basic information. The terminal sends this information to the server, which stores it in a database.

[1813] 2. The administrator schedules an initial meeting with A and registers it in Google Calendar. A receives a reminder notification the day before the meeting.

[1814] 3. During the meeting, the administrator checks A's skills and learning needs, and EmoEngine detects A's emotional state. The server stores this information.

[1815] 4. The server inputs A’s information into OpenAI GPT-4 to generate a customized training program. The device notifies A of the program details.

[1816] 5. A begins learning using Moodle LMS, and his / her progress is recorded. Progress check tests are automatically generated, and the server provides feedback. EmoEngine monitors A's emotional state during learning, and the device provides appropriate support.

[1817] 6. The server provides the latest training information and supplementary materials, analyzes learning progress, and updates the program. The terminal notifies A of the updates and provides necessary support.

[1818] Prompt Sentence Examples

[1819] "Please tell me the steps for new employee A to use the new AI learning program. Please also explain the emotional data that will be detected during the initial meeting."

[1820] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1821] Step 1:

[1822] New employee login and basic information entry

[1823] A user (new employee) logs in to the system by entering their user ID and password.

[1824] The terminal sends the entered authentication information to the server, and the output is the authentication result.

[1825] The server receives the authentication information and authenticates it by comparing it with the user information stored in the database. If authentication is successful, the user is allowed to log in.

[1826] After logging in, the user enters basic information (name, department, position, skill level, etc.). Input is in form format.

[1827] The terminal sends the entered basic information to the server, and the output is a "Registration Complete" notification.

[1828] The server stores the basic information in a database.

[1829] Step 2:

[1830] Initial Meeting Setup

[1831] A user (administrator) logs in to the system and schedules a meeting with a new employee. Inputs include the date, time, location, and participant information of the meeting.

[1832] The terminal sends the meeting details entered by the administrator to the server, and the output is a calendar entry.

[1833] The server receives the meeting information and registers it on the calendar using the Google Calendar API.

[1834] The terminal sends a reminder to the new employee the day before the meeting. The output is the reminder.

[1835] Step 3:

[1836] Understanding basic knowledge and emotion recognition

[1837] Users (new employees and managers) hold an initial meeting, where managers ask new employees questions about their skills and learning needs and receive answers.

[1838] The device uses EmoEngine to detect the emotional state of new employees in real time. The input is the new employee's facial expression and tone of voice. The output is emotional data.

[1839] The server stores the information obtained during the meeting (skills, learning needs, emotional state) in a database.

[1840] Step 4:

[1841] Educational program generation

[1842] The server analyzes the new employee's information and inputs the data into a generative AI model (OpenAI GPT-4). The inputs are skill information, learning needs, and emotional data.

[1843] The server generates a customized educational program from the generative AI model, and the output is the educational program.

[1844] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[1845] The terminal informs the new employee of the details of the training program and how to access it. The output is a notification message.

[1846] Step 5:

[1847] Learning and progress management

[1848] A user (new employee) accesses an educational program through Moodle LMS and begins learning. The input is the learning content.

[1849] The terminal monitors the user's operations and sends them to the server. The output is learning progress data.

[1850] The server records learning progress in real time and automatically generates regular progress check tests. The output is a progress report and test results.

[1851] The device monitors the user's emotional state during learning, and provides appropriate feedback and assistance if confusion or fatigue is detected. The output is a feedback message.

[1852] Step 6:

[1853] Ongoing support and evaluation

[1854] The server generates the latest training information and supporting materials and provides them to all employees. The input is the latest training information. The output is a notification message.

[1855] The server analyzes the learning progress and updates the educational program as needed. The output is the updated educational program.

[1856] The terminal notifies the new employee of the update. The output is an update notification.

[1857] The terminal receives support requests from new employees and either automatically responds or escalates them to an administrator. The output is the support response result.

[1858] (Application example 2)

[1859] 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."

[1860] Modern companies require new and existing employees to quickly and effectively acquire advanced skills and knowledge, thereby improving productivity. It is also important to provide educational programs that take into account employees' emotional states. However, conventional educational systems have struggled to provide customized educational programs that reflect individual learning progress and emotional states in real time. The present invention aims to solve these problems and maximize employee learning effectiveness.

[1861] 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: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a training program customized for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; and a means for detecting the new employee's emotional state in real time using an emotion recognition engine and providing appropriate support and feedback. This allows new employees to efficiently progress in their learning, and the quality and effectiveness of their learning can be improved by the feedback and adaptive support provided in real time.

[1862] A "new employee" refers to an employee who has been newly hired by a company or organization.

[1863] "Basic information" refers to basic data about new employees, such as name, department, position, and skill level.

[1864] A "server" is a computer system that provides data processing and storage over a network.

[1865] A "database" is a system for systematically storing data and for accessing and managing it as needed.

[1866] An "administrator" is a position that is responsible for overseeing the operation of systems and organizations and setting up training programs and meetings for new employees.

[1867] A "meeting" is a gathering of people for a purpose, where they come together to discuss or discuss something.

[1868] A "calendar" is a system or tool for displaying and managing dates and schedules.

[1869] "Reminder notification" is a function that notifies the user again so that they do not forget their schedule or task.

[1870] "Skills" refer to the specialized knowledge, abilities, and techniques that an individual possesses.

[1871] "Learning needs" refers to the desires and needs of individuals to learn the knowledge and skills they need.

[1872] A "generative AI model" is a system that uses AI technology to automatically create data and programs that meet individual requirements.

[1873] "Customized Educational Program" means educational materials and training plans specifically designed to meet individual needs and skill levels.

[1874] "Learning progress" refers to an individual's progress and achievement in relation to a set educational program.

[1875] "Real time" refers to a state in which immediate processing and response can be performed.

[1876] "Additional learning resources" refers to supplementary learning materials or materials provided in addition to the basic course materials or program.

[1877] "Support information" refers to information such as advice, materials, and guidelines that are necessary to smoothly carry out learning or work.

[1878] An "emotion recognition engine" is a technology or system that detects a user's emotional state from their facial expressions, voice, etc., and records and analyzes it.

[1879] This invention is a system that provides an educational program for managing and supporting the operation and maintenance of factory robots. This system utilizes an emotion recognition engine and generative AI models to provide a personalized learning experience for new employees so that they can learn efficiently. The system's program processing is described in detail below.

[1880] Hardware and software used

[1881] Server: A computer system that provides data processing and storage over a network.

[1882] Database: SQLite is used to store and manage new employee information, meeting information, learning progress, and emotional state.

[1883] Devices: Devices such as smartphones and computers that are used for access by new employees and managers.

[1884] Emotion Recognition Engine: Uses EmotionEngine (provisional library) to detect the user's emotional state in real time.

[1885] Generative AI model: Uses AICustomizer (provisional library) to generate a customized training program based on the new employee's information.

[1886] Specific processing overview of the system

[1887] 1. New employee registration:

[1888] A new employee logs into the system from a terminal and enters basic information.

[1889] The server stores the new employee's input information in a database.

[1890] The device will display a "Registration Complete" notification to the new employee.

[1891] 2. Initial Meeting Setup:

[1892] The administrator logs into the system from a terminal and schedules an initial meeting with the new employee.

[1893] The server stores the meeting information in a database and registers it in a calendar.

[1894] The device sends a reminder to the new employee the day before the meeting.

[1895] 3. Basic knowledge comprehension and emotion recognition:

[1896] An initial meeting between the new employee and manager to discuss the new employee's skills and learning needs.

[1897] The device uses an emotion recognition engine to detect the emotional state of new employees in real time and record the data.

[1898] The server adds the information from the meeting to a database and updates the new employee's profile.

[1899] 4. Generating educational programs:

[1900] The server inputs the new employee's profile information into a generative AI model to generate a customized training program.

[1901] The server takes emotional data into consideration and adjusts the content and difficulty of the educational program.

[1902] The device informs new employees about the training program and how to access it.

[1903] 5. Learning and Progress Management:

[1904] New employees access the educational program from their devices and begin learning.

[1905] The server records the learning progress of new employees in real time and stores it in a database.

[1906] The server automatically generates progress check tests and provides feedback based on the results.

[1907] The device monitors the emotional state of new employees while they are learning, and if confusion or fatigue is detected, it provides appropriate assistance.

[1908] 6. Ongoing support and recognition:

[1909] The server stores the latest training information and supporting materials in a database and provides them to all employees.

[1910] The server analyzes the learning progress of new employees and updates the training program as needed.

[1911] The device will notify the new employee of the updates.

[1912] The device receives support requests from new employees and escalates them to an automated response or administrator.

[1913] Examples of concrete examples and prompts

[1914] Examples:

[1915] New employees log in to the system and enter their basic information.

[1916] Managers schedule initial meetings with new employees and add them to their calendars.

[1917] During the initial meeting, new employees' skills and learning needs are identified and their emotional state is detected using an emotion recognition engine.

[1918] Generative AI models generate customized educational programs.

[1919] New employees learn through an educational program, and devices monitor their progress and emotional state.

[1920] Example prompt sentence:

[1921] "New employees log in to the system and enter their basic information. Then, an administrator schedules an initial meeting and registers it on the calendar. During the initial meeting, the new employee's skills and learning needs are identified, and an emotion recognition engine is used to detect their emotional state. A generative AI model is used to generate and implement a customized training program."

[1922] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1923] Step 1:

[1924] The terminal provides a screen for entering basic information about new employees. The new employee enters their own information (name, department, position, skill level, etc.) and presses the submit button. The entered information is sent to the server in JSON format. The server receives this data and saves it in a database. Once saved, the terminal displays a "Registration Complete" notification to the new employee.

[1925] Step 2:

[1926] The administrator logs into the system from a terminal and enters the new employee's ID, the meeting date and time, location, and participant information on the initial meeting settings screen. The entered information is sent to the server, which stores it in a database. The meeting information is also registered in the calendar system. The server automatically sends a reminder to the new employee the day before the meeting.

[1927] Step 3:

[1928] The terminal conducts an initial meeting between the new employee and the manager on their local terminal. The manager asks the new employee questions about their skills and learning needs and inputs the answers into the terminal. The terminal uses an emotion recognition engine to detect the new employee's emotional state in real time and records the data. The server stores this information and emotional data in a database and updates the new employee's profile.

[1929] Step 4:

[1930] The server inputs the new employee's profile information into a generative AI model and automatically generates a customized training program. The generated program content includes learning items, study period, progress check tests, etc. The server also takes emotional data into account and adjusts the content and difficulty of the program. The terminal notifies the new employee of the details of the training program and how to access it.

[1931] Step 5:

[1932] New employees access the educational program from their devices and begin learning. The devices record the new employee's learning progress and send it to a server in real time. The server stores this progress data in a database and automatically generates a progress check test. The results of the progress check test are fed back to the new employee. The devices also monitor the employee's emotional state during learning, displaying support messages if confusion or fatigue is detected.

[1933] Step 6:

[1934] The server periodically updates the latest training information and supporting materials for new and existing employees and stores them in a database. The terminal notifies new employees of the updates and provides access instructions as needed. Support requests from new employees are entered into the terminal, and the server receives them and either escalates them to an automated response system for processing or contacts an administrator.

[1935] 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.

[1936] 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.

[1937] 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.

[1938] [Fourth embodiment]

[1939] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1940] 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.

[1941] 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).

[1942] 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.

[1943] 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.

[1944] 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).

[1945] 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.

[1946] 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.

[1947] 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.

[1948] 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.

[1949] 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.

[1950] 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.

[1951] 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."

[1952] This invention is a system that enables all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. This system involves inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, and managing and providing feedback on learning progress.

[1953] System program and processing overview

[1954] The program of this system is configured as follows:

[1955] 1. New employee registration:

[1956] A user (new employee) logs in to the system and enters basic information, including name, department, position, and skill level.

[1957] The server receives the information entered by the new employee and stores it in a database.

[1958] The device will display a "Registration Complete" notification.

[1959] 2. Initial Meeting Setup:

[1960] The user (administrator) logs in to the system and schedules an initial meeting with the new employee. The user enters the date, time, and details of the meeting.

[1961] The server saves the meeting schedule and registers it in the calendar.

[1962] The device sends a reminder to the new employee the day before the meeting.

[1963] 3. Understanding the basics:

[1964] Users (new employees and managers) meet to discuss the new employees' skills and learning needs.

[1965] The server records the information from the meeting and adds it to the new employee's profile.

[1966] 4. Generating educational programs:

[1967] The server analyzes the basic knowledge and learning needs of new employees and inputs them into a generative AI model.

[1968] The server generates a customized educational program from the generated AI model, including learning items, study period, and progress check tests.

[1969] The device will then inform the new hire of the details of their customized training program and how to access it.

[1970] 5. Learning and Progress Management:

[1971] The user (new employee) accesses the notified educational program and begins learning.

[1972] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[1973] The server periodically evaluates learning progress and automatically generates progress check tests.

[1974] The device presents a progress check test and notifies the new employee of the results.

[1975] 6. Ongoing support and recognition:

[1976] The server generates the latest training information and supporting materials and provides them to all employees.

[1977] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[1978] The device will notify you of updated educational programs and additional learning resources.

[1979] The device receives support requests for learning questions or issues and responds automatically or escalates to an administrator.

[1980] Specific examples

[1981] Example: New employee A

[1982] 1. New employee registration:

[1983] New employee A logs in to the system and enters basic information (name, department, position, skill level, etc.).

[1984] The server saves the information of new employee A in the database.

[1985] The device will display a "Registration Complete" notification.

[1986] 2. Initial Meeting Setup:

[1987] The manager schedules an initial meeting with new employee A and registers it on the calendar.

[1988] The device sends a reminder to new employee A the day before the meeting.

[1989] 3. Understanding the basics:

[1990] New employee A and a manager have an initial meeting to discuss the skills and learning needs of new employee A. For example, new employee A has basic knowledge of Python and wants to learn data analysis.

[1991] The server records the meeting information and adds it to New Employee A's profile.

[1992] 4. Generating educational programs:

[1993] The server analyzes the information of new employee A and uses a generative AI model to generate a customized training program, such as "Python Basics," "Introduction to Data Analysis," "One-month study period," and "Weekly progress check tests."

[1994] The device notifies new employee A of the details of the training program and how to access it.

[1995] 5. Learning and Progress Management:

[1996] New employee A accesses the educational program and begins learning.

[1997] The server records the learning progress of new employee A in real time.

[1998] The server automatically generates progress check tests and evaluates learning progress based on the results.

[1999] The terminal notifies new employee A of the test results.

[2000] 6. Ongoing support and recognition:

[2001] The server provides the latest training information and supporting materials to the entire organization.

[2002] The server analyzes the learning progress of new employee A and updates the training program as necessary.

[2003] Your device will notify you of updates and additional learning resources.

[2004] The device receives the support request and escalates it to an automated response or administrator.

[2005] In this way, this invention is a system that helps new employees quickly acquire AI knowledge and adapt to their work, thereby increasing the productivity and competitiveness of the entire organization. Furthermore, by providing regular training and support not only to new employees but also to existing employees, the knowledge assets of the entire organization are strengthened.

[2006] The processing flow will be explained below.

[2007] Step 1:

[2008] New employee registration

[2009] A user (new employee) logs in to the system and enters basic information (name, department, position, skill level, etc.).

[2010] The server receives the information entered by the new employee and stores it in a database.

[2011] The device will display a "Registration Complete" notification.

[2012] Step 2:

[2013] Initial Meeting Setup

[2014] The user (administrator) logs in to the system and sets up an initial meeting with a new employee. Specifically, the user enters the date, time, location, and participant information of the meeting.

[2015] The server stores the meeting information and registers it in the calendar.

[2016] The device sends a reminder to the new employee the day before the meeting.

[2017] Step 3:

[2018] Understanding the basics

[2019] Users (new employees and managers) hold an initial meeting. The manager asks the new employee questions about their skills and learning needs and listens to their responses.

[2020] The server records the information obtained during the meeting (the new employee's skills, interests, and learning needs) and adds it to the new employee's profile.

[2021] Step 4:

[2022] Educational program generation

[2023] The server analyzes the recorded information of new employees and inputs the data into a generative AI model.

[2024] The server uses the generative AI model to generate a customized training program for new employees, including learning topics, study period, and progress check tests.

[2025] The device informs new employees about the training program and how to access it.

[2026] Step 5:

[2027] Learning and progress management

[2028] The user (new employee) accesses the notified educational program and begins learning.

[2029] The server records the learning progress of new employees (degree of completion and progress status) in real time.

[2030] The server periodically evaluates learning progress and automatically generates progress check tests.

[2031] The device provides new employees with a progress check test and notifies them of the results.

[2032] Step 6:

[2033] Ongoing support and evaluation

[2034] The server generates the latest training information and supporting materials and provides them to all employees.

[2035] The server analyzes the learning progress and performance of new employees and updates the training program as needed.

[2036] The device notifies new employees of updated educational programs and additional learning resources.

[2037] The device receives support requests from new employees and automatically responds or escalates them to an administrator.

[2038] In this way, specific actions are implemented at each step, creating a system that allows new employees to learn effectively through the training program.

[2039] Example 1

[2040] 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."

[2041] Traditional training systems lack the support required for new employees to effectively acquire AI knowledge and quickly adapt to their work. It also makes it difficult for existing employees to continuously improve their skills and manage their learning progress. This can lead to a decline in productivity across the organization and potentially affect a company's competitiveness.

[2042] 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.

[2043] In this invention, the server includes: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a customized training program for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; a means for automatically generating a progress check test based on the new employee's skills and needs; and a means for analyzing the new employee's learning progress data and continuously updating the training program. This enables new employees to quickly and effectively acquire AI knowledge and improves the productivity and competitiveness of the entire organization.

[2044] 1. "Login" means the process by which a user is authenticated by entering credentials to access a system.

[2045] 2. "Basic information" refers to personal information such as name, department, position, and skill level that new employees enter into the system.

[2046] 3. A "database" is a system for efficiently storing, managing, and searching information.

[2047] 4. "Calendar" means a tool or system for registering and managing schedules and events.

[2048] 5. "Reminder Notification" means a notification sent before a scheduled event or task.

[2049] 6. An “initial meeting” is the first interview or meeting between a new employee and a manager to understand the new employee’s skills and learning needs.

[2050] 7. "Skills" are specific knowledge and technical abilities that new employees possess.

[2051] 8. "Learning needs" are the knowledge and skill requirements that new employees must acquire.

[2052] 9. A “generative AI model” is an artificial intelligence model that is trained to perform a specific task based on input data.

[2053] 10. "Customized Education Program" means a learning plan specifically designed based on the skills and learning needs of a new employee.

[2054] 11. "Learning Progress" is information about how well a new employee progresses through each stage of the training program.

[2055] 12. "Real-time recording and evaluation" is the process of instantly recording and evaluating ongoing information.

[2056] 13. “Additional Learning Resources” means supplementary learning materials or materials provided to new hires to further their learning.

[2057] 14. "Support Information" means information provided to assist with learning or work.

[2058] 15. "Progress Test" means a test administered periodically to assess a new employee's learning progress.

[2059] 16. "Analyzing learning progress data" is the process of analyzing data on new employees' learning progress and creating future learning plans.

[2060] 17. "Updating an educational program" means changing or improving an existing educational program based on new information or requirements.

[2061] This invention is a system that allows all members of an organization to effectively utilize AI, especially new employees, to learn AI from scratch. This system involves inputting new employee information, setting up initial meetings, providing customized training programs using generative AI models, and managing and providing feedback on learning progress. Specific implementation methods are shown below.

[2062] First, the user (new employee) logs in to the system and enters basic information about the new employee. This basic information includes name, department, position, skill level, etc. The server receives this information and stores it in the database. The terminal displays a notification that "Registration Complete."

[2063] Next, the user (administrator) logs in to the system and schedules an initial meeting with the new employee. The date, time, and details of the meeting are entered, and the server saves the meeting schedule and registers it in the calendar. The terminal then sends a reminder to the new employee the day before the meeting.

[2064] In the initial meeting, users (new employee and manager) discuss the new employee's skills and learning needs. For example, if the new employee has basic knowledge of Python and wants to learn data analysis, the manager records this information in the system. The server receives the meeting information and adds it to the new employee's profile.

[2065] Next, the server analyzes the new employee's basic knowledge and learning needs and inputs them into the generative AI model. This process includes generating prompts using the generative AI model, such as "Please generate an educational program based on new employee B's basic knowledge and learning needs." The server then generates a customized educational program from the generative AI model and notifies the device of the details. The program includes learning items, learning period, progress check tests, etc.

[2066] The user (new employee) receives the notification and accesses the educational program to begin learning. The server records the new employee's learning progress in real time. Each time the new employee completes a learning module, the progress information is sent to the server and stored in a database. The server also automatically generates a progress check test and evaluates the new employee's learning progress based on the results. The terminal notifies the new employee of the test results.

[2067] The server generates the latest training information and supporting materials as ongoing support and provides them to the entire organization. Furthermore, the server analyzes new employees' learning progress data and updates the training program as needed. Updated content and additional learning resources are notified to new employees via their devices. If new employees need support during their training, the devices receive support requests and automatically respond or escalate them to an administrator.

[2068] The system enables new employees to quickly and effectively acquire AI knowledge, improving productivity and competitiveness across the organization, while also providing regular training and additional support to existing employees, thereby raising the level of knowledge across the organization.

[2069] The flow of the identification process in the first embodiment will be described with reference to FIG.

[2070] Step 1:

[2071] New employees log in and enter their basic information

[2072] A user (new employee) accesses the system's login screen and logs in by entering authentication information (user ID and password). After logging in, a form for entering basic information (name, department, position, skill level, etc.) is displayed. The user enters the basic information and presses the submit button.

[2073] Input: User ID, password, name, department, position, skill level

[2074] Output: Basic information sent to the system

[2075] Specific behavior: The form input is sent to the server.

[2076] Step 2:

[2077] The server receives the new employee information and stores it in the database.

[2078] The server receives the basic information sent by the user and stores it in a database, for example by performing an INSERT operation using an SQL statement.

[2079] Input: Basic information (name, department, position, skill level)

[2080] Output: User information is saved in the database

[2081] Specific operation: The server converts the received data into the appropriate format and performs an INSERT operation on the database.

[2082] Step 3:

[2083] The device displays a "Registration complete" notification

[2084] The server confirms that the data has been saved to the database and sends an instruction to display a "Registration Complete" notification on the terminal.

[2085] Input: Notification of completion of saving to database

[2086] Output: A "Registration complete" notification will appear on your device.

[2087] Specific behavior: The device displays a message to the user indicating that the save was successful.

[2088] Step 4:

[2089] Managers schedule initial meetings with new employees and register them on the calendar

[2090] A user (administrator) logs into the system and enters the date, time, and details of an initial meeting with a new employee. When the administrator presses the "Book" button, the server saves the meeting schedule in the database and synchronizes it with the calendar system.

[2091] Input: Meeting date and time, details

[2092] Output: A meeting is added to the calendar.

[2093] Specific operation: The server saves the input information in a database and synchronizes it using the calendar API.

[2094] Step 5:

[2095] The device will send a reminder the day before the meeting

[2096] The day before the meeting, the server generates a reminder notification and instructs the terminal to send the notification.

[2097] Input: Meeting Schedule Information

[2098] Output: A reminder notification is displayed on the new employee's device.

[2099] Specific behavior: The device displays a reminder notification to the new employee.

[2100] Step 6:

[2101] Record new hires' skills and learning needs during initial meetings

[2102] Users (new hires and managers) hold an initial meeting to discuss the new hire's skills and learning needs, which the manager then manually enters into the system.

[2103] Input: New employee skills and learning needs

[2104] Output: Meeting information is saved to the database

[2105] Specific operation: The administrator enters the details of the discussion into the system, and the server stores it in the database.

[2106] Step 7:

[2107] The server analyzes the new employee's information and inputs it into the generative AI model.

[2108] The server passes the new employee's basic information and meeting information to the data analysis engine for analysis, and inputs prompt statements into the generative AI model based on the analysis results.

[2109] Input: Basic information of new employee, meeting information

[2110] Output: The prompt sentence that is fed into the generative AI model

[2111] Specific operation: The server generates a prompt sentence based on the analysis results and inputs it into the generative AI model.

[2112] Step 8:

[2113] The server generates a customized educational program using the generative AI model.

[2114] The generative AI model generates a customized educational program based on the prompt sentence, and the server receives the results, including learning items, learning period, and progress check tests.

[2115] Input: prompt statement

[2116] Output: Customized educational program

[2117] Specific operation: The generative AI model generates a training program, which is received by the server and stored in a database.

[2118] Step 9:

[2119] The device displays the details of the educational program.

[2120] The server sends a notification containing details of the generated training program to the terminal, which displays it to the new employee.

[2121] Input: Educational program details

[2122] Output: Details of the training program are displayed on the new employee's terminal.

[2123] Specific behavior: The device displays an access link and detailed information about the educational program.

[2124] Step 10:

[2125] New employees access educational programs and begin learning

[2126] The user (new employee) receives a notification, accesses the educational program, and begins learning, progressing through each learning module and completing assignments and tests.

[2127] Input: Educational program access link

[2128] Output: Learning progress data

[2129] Specific behavior: New employees access educational programs and learn.

[2130] Step 11:

[2131] The server records your learning progress in real time

[2132] As new employees complete each module, their progress data is sent to a server and recorded in a database.

[2133] Input: Learning progress information

[2134] Output: Progress data stored in a database

[2135] What it does: The server receives progress data in real time and records it in a database.

[2136] Step 12:

[2137] The server automatically generates progress check tests and provides them to new employees.

[2138] The server automatically generates a progress check test based on the learning progress and provides the test to the new employee.

[2139] Input: Learning progress data

[2140] Output: Auto-generated progress test

[2141] Specific operation: A generative AI model is used to generate progress check tests and provide them to new employees.

[2142] Step 13:

[2143] The device will notify you of the test results.

[2144] Once the new employee has completed the test, the results are sent to the server, which evaluates them and sends the results to the terminal to notify the new employee.

[2145] Input: Test result data

[2146] Output: Notification of evaluation results

[2147] Specific operation: The server evaluates the test results and notifies the new employee of the evaluation results.

[2148] Step 14:

[2149] The server provides the latest training information and supporting materials

[2150] For ongoing support, the server uses generative AI models to generate up-to-date training information and supporting materials, which are then distributed across the organization.

[2151] Input: Required training information and supporting materials

[2152] Output: Latest training information and supporting materials

[2153] What it does: Uses a generative AI model to generate new training materials and provide them to all employees.

[2154] Step 15:

[2155] The server analyzes the learning progress data and updates the educational program.

[2156] The server analyzes the learning progress data of new employees and updates the training program as necessary.

[2157] Input: Learning progress data

[2158] Output: Updated educational program

[2159] Specific operation: The server reviews the educational program based on the learning progress data and updates it as necessary.

[2160] Step 16:

[2161] The device will notify you of updated educational programs

[2162] The server transmits updated contents of the training program to the terminal, and the terminal notifies the new employee of the contents.

[2163] Input: Updated educational program information

[2164] Output: Updates notified to new employees

[2165] What it does: Your device will display updates and new learning resources.

[2166] Step 17:

[2167] The device receives a support request

[2168] If a new employee needs help during their learning, they can fill out and submit a support request form on their device.

[2169] Input: Support Request

[2170] Output: A support request is sent to the server

[2171] Specific operation: The device manages support requests and sends them to the server.

[2172] Step 18:

[2173] Escalate support requests to an automated response or administrator

[2174] When a support request is received, the server displays a pre-defined FAQ response or escalates it to an administrator if a response is required.

[2175] Input: Support Request

[2176] Output: Response message or escalation notification

[2177] Specific action: The server will either issue an automatic response or send an escalation notification to the administrator.

[2178] (Application example 1)

[2179] 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."

[2180] The challenge for new employees at logistics facilities is to quickly adapt to their work and acquire skills. Conventional training methods make it difficult for new employees to effectively learn logistics work, so the introduction of an efficient training system is required.

[2181] 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.

[2182] In this invention, the server includes: a means for a new employee to log in and input basic information; a means for the server to save the new employee's information in a database; a means for a manager to schedule a meeting with the new employee and register it in a calendar; a means for sending a meeting reminder to the new employee; a means for recording the new employee's skills and learning needs at the initial meeting; a means for generating a customized training program for the new employee using a generative AI model; a means for the new employee to access the training program and start learning; a means for recording and evaluating the new employee's learning progress in real time; a means for providing additional learning resources and support information to the manager and the new employee; and a means for an autonomous robot to guide the new employee through the logistics facility and explain the work process. This enables the new employee to effectively learn the basics of logistics work and quickly adapt to the field.

[2183] A "new employee" is an employee who has been newly hired by a company or organization.

[2184] "Logging in" is the process by which a user authenticates by entering authentication information to access a system.

[2185] "Basic information" refers to basic data about a user, such as the individual's name, department, and skill level.

[2186] A "server" is a computer system that stores and processes data on a network.

[2187] A "database" is an organized collection of data for efficiently storing, managing, and retrieving information.

[2188] An "administrator" is a person in charge of managing systems and business processes.

[2189] A "meeting" is a gathering of multiple people to share information and hold discussions.

[2190] A "calendar" is a tool for managing date and time information.

[2191] A "notification" is a message intended to inform the user of specific information.

[2192] An "initial meeting" is a new employee's first meeting with their manager.

[2193] A "skill" is the ability to perform a specific job or task.

[2194] "Learning needs" are the learning goals that individuals want to achieve and the knowledge and skills they want to acquire.

[2195] A "generative AI model" is an artificial intelligence model that is generated based on machine learning or deep learning.

[2196] A "customized educational program" is a learning plan designed to meet individual needs.

[2197] "Access" means performing operations such as reading and writing on a system or data.

[2198] "Study progress" refers to the progress and level of achievement in learning.

[2199] "Real-time" means that processing and updates are done immediately, without delay.

[2200] "Evaluation" is the process of determining and evaluating learning outcomes and progress.

[2201] "Additional learning resources" are supplementary materials or information provided in addition to existing learning materials.

[2202] "Support information" is information that supports learning and work execution.

[2203] An "autonomous robot" is a robot that can act and make decisions on its own without human intervention.

[2204] A "logistics facility" is a place where operations such as the storage, management, and transportation of goods are carried out.

[2205] "Guiding" means providing guidance and explanations.

[2206] A "business process" is a series of steps or procedures for carrying out a specific business operation.

[2207] This invention is a system for enabling new employees at logistics facilities to efficiently learn and quickly adapt to their work. The system's components include a means for new employees to input information, a means for generating a customized training program using a generative AI model, and a means for an autonomous robot to guide new employees through the logistics facility and explain the work process.

[2208] System program and processing overview

[2209] New employee registration

[2210] Users (new employees) log in to the system using a dedicated tablet device and enter basic information, such as their name, department, and skill level.

[2211] The server receives the information entered by the new employee and stores it in a database, which is used in subsequent processes.

[2212] Initial Meeting Setup

[2213] The user (administrator) logs in to the server and schedules an initial meeting with the new employee. The user registers the date, time, and details of the meeting in the calendar.

[2214] The server stores the meeting schedule and sends a reminder to the new employee the day before the meeting.

[2215] Understanding the basics

[2216] Users (new employee and manager) meet to discuss the new employee's skills and learning needs, and this information is recorded by the server and added to the new employee's profile.

[2217] Educational program generation

[2218] The server analyzes the basic knowledge and learning needs of new employees and uses a generative AI model to generate a customized training program, including learning items, study period, and progress check tests.

[2219] The server notifies the new employee of the details of the training program and how to access it.

[2220] Learning and progress management

[2221] New employees access the received educational program and begin learning.

[2222] The server records the learning progress of new employees in real time, evaluates them according to their progress, and periodically generates progress check tests and notifies the results to new employees.

[2223] Autonomous robotic guidance

[2224] The autonomous robot guides new employees through the logistics facility, explaining each process. The robot follows a pre-programmed route and provides detailed explanations at key operational points.

[2225] Ongoing support and evaluation

[2226] The server generates the latest training information and supporting materials and provides them to all employees. It also analyzes the learning progress and performance of new employees and updates the training program as needed.

[2227] The tablet notifies users of updated educational programs and additional learning resources, and also receives support requests, which are automatically responded to or escalated to an administrator.

[2228] Specific examples

[2229] For example, suppose that in order for new employee B to effectively learn work at a logistics facility, he or she is required to have basic skills in Python and data analysis at the initial meeting, and additional knowledge of robot operation is required. In this case, the training program would include "Python Basics," "Introduction to Data Analysis," and "Robot Operation," with periodic progress check tests.

[2230] Examples of prompts for AI models

[2231] Based on the profile of new employee B, please create a customized training program that covers the skill set required in a logistics facility. B has basic knowledge of logistics operations and would like to strengthen his robot operation skills. The program should include a one-month learning plan, including weekly progress check tests. Please provide details, including specific learning items, duration, and evaluation method.

[2232] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[2233] Step 1:

[2234] Users (new employees) log in to the system using a dedicated tablet device and enter basic information (such as name, department, skill level, etc.) The entered information is sent to the server.

[2235] Input: Basic information about the new employee.

[2236] Output: Basic information is saved in the database.

[2237] How it works: When a user enters information into a form on a tablet and hits the submit button, the server stores this information in a database.

[2238] Step 2:

[2239] The server stores the received information about the new employee in a database.

[2240] Input: Basic information entered by the new hire.

[2241] Output: New employee information recorded in the database.

[2242] How it works: The server calls the database save API to persist the information.

[2243] Step 3:

[2244] The user (administrator) logs in to the server and schedules an initial meeting with a new employee. The user enters the date, time, and details of the meeting and registers it in the calendar.

[2245] Input: Initial meeting date, time and details.

[2246] Output: Meeting information registered in the calendar.

[2247] How it works: Administrators enter meeting information through a web interface, and the server registers it in the calendar.

[2248] Step 4:

[2249] The server stores the meeting schedule and sends a reminder to the new employee the day before the meeting.

[2250] Input: Schedule initial meeting.

[2251] Output: Reminder notification sent to new employee.

[2252] How it works: The server generates reminders based on schedule information and sends them using the notification API.

[2253] Step 5:

[2254] Users (new employees and managers) hold an initial meeting to discuss the new employee's skills and learning needs, and this information is recorded by the server.

[2255] Input: New employee skills and learning needs.

[2256] Output: Recorded new employee skill profile.

[2257] How it works: The administrator enters what was discussed during the meeting, and the server stores it in a profile.

[2258] Step 6:

[2259] The server analyzes the basic knowledge and learning needs of new employees and generates a customized training program using a generative AI model.

[2260] Input: New employee skill profile.

[2261] Output: A customized educational program.

[2262] How it works: The server inputs profile information into the AI ​​model and formats the generated learning plan as a program.

[2263] Step 7:

[2264] The server notifies the new employee of the details of the training program and how to access it.

[2265] Enter: customized educational programs.

[2266] Output: Detailed notification of educational program.

[2267] How it works: The server uses the Notification API to send details of the training program to the new employee's tablet.

[2268] Step 8:

[2269] New employees access the received educational program and begin learning.

[2270] Enter: Educational Programs.

[2271] Output: Learning progress data.

[2272] Operation: A new employee accesses the training program and progresses through the learning content. Their progress is sent to the server.

[2273] Step 9:

[2274] The server records the learning progress of new employees in real time, evalu...

Claims

1. A way for new employees to log in and enter their basic information, A means for the server to store the new employee information in a database; A way for managers to schedule meetings with new employees and register them on their calendars, A way to send meeting reminders to new employees, and A means of recording new hires' skills and learning needs during initial meetings; A means for generating a customized training program for new employees using a generative AI model; A way for new employees to access and begin their education program; A means of recording and assessing new employees' learning progress in real time; A means to provide additional learning resources and support information to managers and new employees; A system including:

2. The system of claim 1 , further comprising means for the generative AI model to automatically update the training program based on the learning progress of the new employee.

3. 10. The system of claim 1, further comprising means for providing periodic training information and support materials to new and existing employees.

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