system

Abstract

We provide the system. [Solution] Means for obtaining existing information on individuals subject to transfer collected within the organization, A means of having the person subject to relocation enter new information related to the transfer, A means to automatically generate various documents required for relocation, A means of sending automatically generated documents to the relevant departments, A system that includes a means of updating procedural progress information from relevant departments.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Procedures associated with job transfers are usually very complicated and time-consuming because the person being transferred needs to create a lot of documents and submit them to relevant departments. As a result, the work efficiency of the person being transferred decreases, and a situation occurs where they cannot concentrate on important tasks. There is a need to improve such a situation and make job transfer procedures more efficient and simplified.

Means for Solving the Problems

[0005] This invention provides a system that acquires existing information on employees subject to transfer within an organization and automatically generates various documents necessary for transfer based on new information entered by the employees themselves. The automatically generated documents are sent to the relevant departments to proceed with the transfer. Furthermore, the system updates the progress information from the relevant departments and notifies the employees subject to transfer, thereby managing the status of the transfer in real time. In this way, the system reduces the burden on employees subject to transfer and provides an environment in which they can concentrate on important tasks.

[0006] "Existing information on transferees collected within the organization" refers to data and records that the organization already possesses regarding employees who are scheduled to be transferred.

[0007] "Means of requiring employees subject to relocation to input new information related to the transfer" refers to a function that provides an interface or method for employees themselves to input the latest information necessary for the transfer.

[0008] "Methods for automatically generating various documents required for relocation" refers to a system process that can automatically create the documents required for relocation procedures based on existing information and newly entered information.

[0009] "Means of sending automatically generated documents to the relevant departments" refers to a function that automatically transmits generated documents electronically to the departments that are responsible for processing or approving them.

[0010] "Means of updating procedural progress information from relevant departments" refers to a function that incorporates feedback and processing status from the department to which the documents were sent, and keeps the progress status up to date. [Brief explanation of the drawing]

[0011] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0012] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0013] First, let's explain the terminology used in the following explanation.

[0014] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0015] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0016] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0017] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and 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), or Bluetooth (registered trademark), and the like.

[0018] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0019] [First Embodiment]

[0020] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0021] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0022] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0023] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0024] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0025] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0026] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0027] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0029] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0030] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0031] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0032] This invention is implemented as a system for streamlining employee transfer procedures within a company. This system operates with users, terminals, and servers as its main components. Specific embodiments of this invention are described below.

[0033] overview

[0034] This system primarily supports transfer applications and procedures within companies, aiming to automate information gathering and procedures within the organization. Users input relevant information into a terminal, and the server automatically generates the necessary documents based on this information, sends them to the relevant departments, and tracks the progress.

[0035] System Components

[0036] User

[0037] This employee is scheduled to relocate. Their role involves using devices (such as PCs or smartphones) to input necessary information into the system. For example, they might enter their new address and desired moving date via a terminal.

[0038] terminal

[0039] It is a device that provides an interface for users to input and verify information. Through a specific web application or software, users can easily input the necessary data.

[0040] server

[0041] This system manages the process of receiving user input, retrieving existing information from the organization's database, and automatically generating documents using an AI agent. The generated documents are automatically submitted to the relevant departments, and the progress is updated in real time.

[0042] Program processing

[0043] When a user enters the necessary data using their device, the server receives that information. This information is managed together with the employee's existing profile data. Based on the information received, the server uses an AI agent to create the necessary documents and send them to the relevant departments. The server, equipped with a progress management function, updates the status as the process progresses and sends notifications to the user. This allows the user to check the status of the process at any time through their device and address any problems early.

[0044] Specific example

[0045] For example, if a user is transferred to a new work location, they enter the necessary information on their terminal. The server then automatically generates the necessary documents, such as a transfer request and a company housing application, based on that data. The generated documents are sent to the relevant departments, such as the human resources department, and the progress of the procedure is managed. The user receives a notification on their terminal when the procedure is complete, allowing them to confirm that the process is finished. This significantly reduces the user's workload, allowing them to focus on important tasks.

[0046] The following describes the processing flow.

[0047] Step 1:

[0048] The user accesses a dedicated transfer information input form on their device and enters the necessary new information (e.g., new address, desired moving date).

[0049] Step 2:

[0050] The terminal sends the entered information to the server and receives the data. The server then retrieves existing information about the user from the company's database.

[0051] Step 3:

[0052] The server combines newly acquired information with existing information to build the profile necessary for the transfer. This forms a comprehensive dataset required for the next processing step.

[0053] Step 4:

[0054] The server activates an AI agent based on the user's profile and automatically generates various documents necessary for the user's relocation. These include relocation application forms and company housing application forms.

[0055] Step 5:

[0056] The server receives documents generated by the AI ​​agent, checks and corrects their formatting, and then automatically sends them to the relevant departments (e.g., Human Resources, Accounting).

[0057] Step 6:

[0058] The server receives completion notifications and progress information from relevant departments and manages the progress in real time by updating the procedure status database.

[0059] Step 7:

[0060] The server notifies the terminal of the progress and completion information of the procedure. By checking this notification on the terminal, the user can understand the status of the procedure and take additional actions as needed.

[0061] (Example 1)

[0062] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0063] Transfer procedures within an organization often involve manual processes such as gathering vast amounts of information, creating documents, and coordinating with relevant departments. This can lead to human error, procedural delays, and decreased work efficiency. Furthermore, the lack of proper communication regarding the progress of the procedures among stakeholders can result in increased effort required for confirmation and inquiries.

[0064] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0065] In this invention, the server includes means for acquiring existing information on transferees collected within the organization, means for providing a terminal for transferees to input new information related to the transfer, and means for automatically generating documents using a generation AI model based on various information necessary for the transfer. This enables the automation of document creation and approval processes in transfer procedures, thereby achieving efficient and rapid work execution. Furthermore, by managing progress and sending timely notifications to users, it becomes possible to smoothly check the status of procedures and respond to problems when they occur.

[0066] "Within the organization" refers to personnel, departments, and work systems within the internal structure of a company or organization.

[0067] "Persons subject to transfer" refers to individuals who are scheduled to transfer or are being transferred within the organization.

[0068] "Existing information" refers to individual profiles and related data that have already been collected within the organization.

[0069] "New information" refers to data such as the address and desired date that the person being transferred or relocated must provide.

[0070] "Terminal" refers to a computer or smart device used by a user to input or verify information.

[0071] A "generative AI model" refers to artificial intelligence technology that automatically generates documents and answers based on given data.

[0072] "Automatic document generation" refers to a process that autonomously creates necessary documents based on standardized information.

[0073] "Relevant departments" refers to specialized departments within the organization that are involved in the transfer process.

[0074] "Progress information" refers to information regarding the current progress or completion status of tasks or procedures.

[0075] "Notification" refers to a means of communication that a system sends to a user.

[0076] A "prompt statement" refers to a sentence that presents specific instructions or questions to a generative AI model.

[0077] This invention is implemented as a system based on the cooperation of users, terminals, and servers in order to streamline the transfer procedures within an organization. The specific operation method is described below.

[0078] To begin the relocation process, users log into the system using a device such as a PC or smartphone. This device provides an intuitive interface for users to input and confirm information via a specific web application or mobile application. Users enter the necessary information for the relocation, such as their new address and desired moving date.

[0079] The terminal functions as a gateway for sending information entered by the user to the server. This terminal employs security protocols such as SSL / TLS to ensure that users can enter information securely.

[0080] The server receives information sent from the terminal and retrieves existing transfer target profile information from the organization's database. Next, it uses a generative AI model to automatically generate various documents necessary for the transfer. This AI model operates based on pre-configured prompts and applies standard formats such as transfer requests and company housing application forms. The generated documents are automatically sent to the relevant departments via email or the organization's internal file sharing system.

[0081] The server also has a progress management function, updating the progress status each time a stage of the procedure is completed. Users can check this progress at any time via their terminal, and the server automatically sends a notification when the procedure is completed. This notification function provides users with an environment in which they can take next actions quickly.

[0082] As a concrete example, let's assume a user wishes to transfer from Tokyo to Osaka. The user enters their new address and desired moving date into their device. Based on this information, the server uses an AI agent to automatically generate the necessary transfer request and company housing application. This document is sent to the appropriate department, and the user can then check the progress of the process on their device.

[0083] Using a prompt such as, "An employee wishing to transfer from Tokyo to Osaka has entered their new address and desired moving date on the web portal. How should the server generate a transfer request and company housing application form and send them to the relevant departments?" will ensure that the correct documents are generated.

[0084] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0085] Step 1:

[0086] The user logs into the terminal and enters the information required for the transfer (e.g., new work location, new address, desired moving date). The entered data is transmitted via a web application. The input process includes data validation, such as checking the format of the data provided by the user and verifying that all required fields are present.

[0087] Step 2:

[0088] The terminal verifies the entered information and ensures its integrity. Once verification is complete, the data is encoded and sent to the server via a secure route. The terminal's role is to safely and accurately transfer user data to the server.

[0089] Step 3:

[0090] The server receives user information transmitted from the terminal and compares the received data with the existing employee profile database. Based on the comparison, the new information is integrated into the profile, updating the data. The data processing performed at this stage involves the integration of existing and new information.

[0091] Step 4:

[0092] The server uses integrated information and a generative AI model to automatically generate necessary documents (e.g., transfer notification form, company housing application form). This process involves passing prompts as input to the AI ​​model, which then outputs the appropriate document format. The generated documents are saved in PDF format.

[0093] Step 5:

[0094] The server sends the generated documents to the relevant departments via email or the organization's file-sharing tool. Once these documents are received, the server updates the progress information of the process. Through this process, the server plays a role in ensuring the smooth progress of procedures within the organization.

[0095] Step 6:

[0096] The server updates the progress of the procedure in real time as it moves forward and sends notifications to the user. The user receives these notifications on their device and checks the current status of the procedure. The notifications include the procedure's stage and instructions for the next action. By sending notifications, users can efficiently manage their transfer procedures.

[0097] (Application Example 1)

[0098] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0099] Transfer procedures and related document creation and progress management within an organization are laborious and time-consuming for employees. Furthermore, inefficient information sharing and progress tracking between different departments hinder the smooth operation of business. In addition, real-time monitoring of the process is difficult, requiring quick responses to users. There is a need for efficient solutions to these challenges.

[0100] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0101] In this invention, the server includes means for extracting existing information on transferees acquired within the organization, means for analyzing the information using natural language processing and generating necessary records from the input data, and means for sending real-time notifications to the user as the procedure progresses. This enables the automatic generation and transmission of documents necessary for transfer procedures, efficient tracking of progress, and immediate notification to the user.

[0102] "Existing information on individuals subject to relocation obtained within the organization" refers to the collective historical data on individuals subject to relocation that is managed by the organization.

[0103] "Means for inputting new information" refers to an interface or function that allows users to add new data to the system.

[0104] "Means of automatically generating records" refers to a function that uses AI or algorithms to automatically create relevant documents and records from given information.

[0105] "Means of sending to the relevant departments" refers to a function that automatically delivers generated information and documents to the designated departments through the system.

[0106] "Means for updating processing progress information" refers to a function that dynamically records the progress status of each stage of a process within the system and keeps it up-to-date.

[0107] "Analyzing using natural language processing" refers to the technology of processing natural language data using a computer to understand its meaning and context.

[0108] "Means of sending notifications in real time" refers to communication methods that immediately inform users of important updates and information.

[0109] To implement this invention, a system is built to automate the management of employee transfer procedures within an organization. Specifically, a server plays a central role. The server first retrieves existing information on the person to be transferred from a database, typically using an SQL-based database management system. This organizes past information about the employee.

[0110] Users input new information via their devices (such as PCs or smartphones). This is done using front-end technologies like React and Vue.js to provide a user-friendly interface. The input information is then sent to the server using a Node.js or Python framework (Flask / Django) in the backend.

[0111] The server performs natural language processing based on the input information and existing data to automatically generate the necessary documents. This process utilizes models based on machine learning libraries such as PyTorch and TENSORFLOW®. In this process, a generative AI model is used to automatically generate text.

[0112] Furthermore, the server needs to send progress information to relevant departments in real time. This function utilizes technologies such as WebSocket and Firebase Cloud Messaging to send notifications. Ultimately, users can check the progress and document approval status in real time.

[0113] As a concrete example, consider a case where a user is changing their address due to a job transfer. The user enters their new address and desired moving date on their terminal. The server analyzes this information and automatically generates a new address notification and a moving permit, similar to those required for internal company procedures, and sends them to the HR and accounting departments.

[0114] Example of a prompt to input into the AI ​​generation model: "Please input the information required for the transfer procedure, automatically generate the documents, and notify me of the progress in real time."

[0115] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0116] Step 1:

[0117] The user uses a terminal to enter information related to their transfer. This information includes their name, new address, and desired transfer date. This information is collected through the terminal's user interface and sent to a backend server.

[0118] Step 2:

[0119] The server compares the received user information with the database and retrieves the necessary existing information. This process uses SQL queries to extract relevant information from the existing employee database. After retrieval, the server integrates the input information with the existing information and formats it as a dataset for the next processing step.

[0120] Step 3:

[0121] The server uses natural language processing to generate the necessary documents based on the formatted dataset. This process utilizes a generative AI model to generate text based on prompts. The output appears in formats such as transfer applications and relocation permits.

[0122] Step 4:

[0123] The server sends the generated documents to the relevant departments. This is done using either an email system or an internal file sharing system, ensuring that the document data is promptly distributed to the designated personnel in each department.

[0124] Step 5:

[0125] The server monitors the progress and sends real-time notifications to users and relevant departments as the process moves forward. Technologies such as WebSocket and Firebase Cloud Messaging are used to ensure instant notification of progress. This allows users to check the progress of the process at any time through their devices.

[0126] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0127] This invention is implemented as a system that combines a user's emotional recognition engine with the internal transfer procedures of a company. This system consists of a user, a terminal, a server, and an emotional recognition engine, and aims to streamline the transfer procedures while providing emotional support to the user.

[0128] overview

[0129] This system not only allows employees to provide the information necessary for relocation and automatically generates and sends documents based on that information, but it also senses the user's emotional state and provides appropriate support as needed.

[0130] System Components

[0131] User

[0132] The employee, who is scheduled to be transferred, will input the necessary information via a terminal. The system will also recognize the user's emotions using an emotion engine during this process.

[0133] terminal

[0134] It provides an interface for users to input and confirm information. It incorporates an emotion engine that analyzes user input data and touch patterns to determine their emotional state.

[0135] server

[0136] It receives user input and data from the emotion engine, integrates them, and processes them. Specifically, it activates an AI agent based on the acquired information to generate documents, analyzes emotion data, and determines the appropriate action.

[0137] Emotional Engine

[0138] The system analyzes user input and actions to evaluate their emotional state (e.g., stress, satisfaction). The resulting emotional evaluation is sent to a server for further processing.

[0139] Program processing

[0140] First, as the user enters the necessary information for their transfer on their device, the emotion engine identifies the user's emotions. The server receives this information and automatically generates the necessary documents for the transfer procedure through an AI agent, while also providing the user with the most appropriate support message based on the emotional data. For example, if the user is feeling stressed, the system provides encouraging messages and help information. Also, if necessary, the human resources department is notified if the emotional state is serious. In this way, the system not only allows users to proceed with the procedure efficiently but also provides emotional support.

[0141] Specific example

[0142] When a user enters relocation information for a job transfer, the emotion engine analyzes the user's input speed and language patterns to recognize if the user is experiencing anxiety. The server receives this emotion data and displays a support message to the user, such as, "We're here to help you prepare for your transfer, so please let us know if you have any questions." If this state persists, the system automatically notifies the human resources department to prepare further support. In this way, users can proceed with the process with peace of mind, and the company as a whole can take care of the mental health of its employees.

[0143] The following describes the processing flow.

[0144] Step 1:

[0145] Users access a dedicated transfer information input form on their device and enter necessary information such as their new address and desired moving date.

[0146] Step 2:

[0147] The device activates an emotion engine in response to user input, analyzing input speed, language patterns, and other factors to determine the user's emotional state.

[0148] Step 3:

[0149] The device sends the acquired emotional state data and the entered information to the server.

[0150] Step 4:

[0151] The server retrieves existing information from the company's database based on the information it receives and builds the necessary profile.

[0152] Step 5:

[0153] The server activates an AI agent that automatically generates the necessary documents based on profile and sentiment data.

[0154] Step 6:

[0155] The server reviews the generated documents and automatically sends them to the relevant departments.

[0156] Step 7:

[0157] The server analyzes emotional data and, if the user is showing signs of stress or anxiety, generates and sends an appropriate support message to the device.

[0158] Step 8:

[0159] The terminal displays support messages received from the server to the user, providing them with a sense of security.

[0160] Step 9:

[0161] The server automatically notifies the human resources department if the emotional state is severe or if certain conditions are met, allowing them to prepare further support.

[0162] Step 10:

[0163] Users can check the progress of the procedure and support messages through their device, and take additional action as needed.

[0164] (Example 2)

[0165] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0166] Corporate transfer procedures involve a significant amount of information processing and document creation, requiring efficient management and accurate support. Furthermore, there is a lack of mechanisms to alleviate employees' psychological burden and provide appropriate emotional support.

[0167] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0168] In this invention, the server includes means for acquiring existing information on transfer targets collected within the organization, means for prompting transfer targets to input new information related to the transfer, and means for analyzing user emotional information and outputting the results. This enables the streamlining of transfer procedures and provides emotional support to employees.

[0169] "Existing information on employees subject to transfer collected within the organization" refers to data such as employee job titles and contact information that are held in advance in relation to the transfer.

[0170] "Means of requiring employees subject to relocation to input new information related to the transfer" refers to the process by which employees input new details necessary for the transfer through an interface.

[0171] "A means of analyzing user emotional information and outputting the results" refers to a process that analyzes user behavior data, evaluates their emotional state, and sends that evaluation to a server.

[0172] "Methods for automatically generating various documents required for relocation" refers to the process of automatically creating official documents and application forms required for relocation through an AI agent.

[0173] "Means of sending automatically generated documents to the relevant organizations" refers to a mechanism for electronically transmitting generated documents to the appropriate departments.

[0174] "Means of updating procedural progress information from related organizations" refers to a method of reflecting the progress of procedures received from relevant departments in a database and updating the information in real time.

[0175] "Means of providing notifications or support information in accordance with the emotional state of the person being moved" refers to the process of providing appropriate messages and support information based on the analyzed emotional state of the employee.

[0176] The embodiment of this invention is a system aimed at improving operational efficiency within a company and supporting the emotional well-being of employees. This system consists of a terminal used by the user (an employee scheduled to be transferred), a server responsible for data processing, and an emotion engine that evaluates the user's emotions.

[0177] The terminal provides an interface for users to input detailed information necessary for relocation. This includes the address of the new location, the relocation date, and requirements for related facilities. The terminal also incorporates an emotion engine that analyzes the user's input behavior (such as input speed and touch patterns) in real time and evaluates their emotional state. The evaluated emotional data is sent to the server as soon as the user completes the input.

[0178] The server integrates user information and sentiment data transmitted from the terminal and automatically generates the necessary documents for a transfer through an AI agent. The AI ​​agent creates the documents using a pre-programmed generative AI model. This process includes all necessary documents, such as transfer approval forms and official notices. Simultaneously, the server analyzes the sentiment data and generates an appropriate support message for the user. This message may include words of encouragement and additional support information.

[0179] As a concrete example, consider the process where a user enters details of their new residence due to a job transfer. In this process, the emotion engine analyzes the user's keystroke speed and expression to detect if the user is feeling anxious. Based on this information, the server generates a message such as, "We are here to help alleviate your anxiety about the transfer. Please feel free to contact us if you have any questions," and displays it on the user's device.

[0180] A concrete example of a prompt message to be input into the generating AI model is: "When a user inputs information about a job transfer, the emotion engine analyzes the user's emotional state and displays necessary support messages to the user." This invention allows users to efficiently complete job transfer procedures and reduce emotional anxiety.

[0181] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0182] Step 1:

[0183] The user uses a terminal to input the information necessary for relocation. This information includes the new address, relocation date, and required equipment. The terminal collects and organizes this information as digital data. After the data is formatted, it is sent to the next processing step.

[0184] Step 2:

[0185] The terminal provides the emotion engine with real-time data on the user's input behavior. Data such as input speed, touch patterns, and keystroke strength are sent to the emotion engine to analyze the user's emotional state. Based on this data, the emotion engine evaluates the user's emotional state, such as stress and anxiety, and outputs the evaluation results to the server.

[0186] Step 3:

[0187] The server receives user information and sentiment evaluation data sent from the terminal. Based on the received data, it automatically generates the necessary documents for the transfer procedure using an AI model. In this process, the AI ​​agent creates the documents according to pre-configured templates and rules. For example, a transfer approval form and a transfer notification form are generated.

[0188] Step 4:

[0189] The server electronically transmits the generated documents to the appropriate organizations, allowing the transfer process to begin quickly. Simultaneously, the server generates an optimal support message for the user based on the sentiment assessment results. This support message can include words of encouragement and detailed procedural guidance.

[0190] Step 5:

[0191] The server sends a generated support message to the terminal, presenting information to the user. This allows the user to receive support tailored to their emotional state, enabling them to proceed with the process with confidence. Furthermore, if the emotional state is severe, the server automatically notifies the human resources department to ensure additional support is in place.

[0192] (Application Example 2)

[0193] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0194] For employees being transferred, the transfer process is complex, and the associated stress is a significant problem. While traditional systems focus on streamlining procedures, they fail to adequately consider the emotional support of those being transferred, thus failing to improve overall satisfaction.

[0195] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0196] In this invention, the server includes means for analyzing the emotional state of the person being transferred and automatically selecting music to provide a comfortable sound environment, means for providing visual information according to the emotional state of the person being transferred, and means for updating procedural progress information from relevant departments. As a result, the person being transferred can not only complete procedures efficiently but also reduce the emotional stress associated with the transfer.

[0197] "Within an organization" refers to a company or group where people and equipment are gathered to perform a specific business activity.

[0198] "Employees subject to relocation" refers to employees who physically move due to a change in work location or job title.

[0199] "Existing information" refers to data related to individuals who are subject to relocation that has already been collected within the organization.

[0200] "New information" refers to new data necessary for ongoing transfers and related procedures.

[0201] "Various documents" refers to documents required for transfer procedures, including various forms of documents such as approval forms and contracts.

[0202] "Relevant departments" refers to the departments within the organization that are involved in transfer procedures or the transfer of employees.

[0203] "Emotional state" refers to an individual's psychological or emotional state, which includes stress levels and satisfaction levels.

[0204] "Automatic music selection" refers to the process of automatically selecting and playing appropriate music based on the emotional state of the passengers.

[0205] "Visual information" refers to images and text information provided to the person being transported through a display device.

[0206] "Progress information" refers to information about the current stage of a procedure.

[0207] The system for realizing this application primarily consists of a server, a terminal integrating an emotion engine, and appropriate output devices. The server aggregates transfer-related information provided by the user and has the function of automatically generating necessary documents based on that information. The server also analyzes the user's emotional state data transmitted from the emotion engine and provides the user with appropriate visual and auditory information based on the results.

[0208] The terminal provides an interface for the user to input information, and an emotion engine analyzes the input data to evaluate the emotional state in real time. This evaluation is based on biometric information such as the user's operation patterns, input speed, and facial expression data. The analyzed emotional state data is sent to a server for further processing.

[0209] The server uses TensorFlow libraries on NVIDIA Jetson hardware to analyze the user's emotional state. This emotional data is then used to call a voice service API to select soothing music if, for example, the user is feeling stressed. It also processes messages and information to display encouragement tailored to the user's emotional state.

[0210] As a concrete example, when a user enters detailed information about a job transfer into a terminal, the emotion engine detects data patterns indicating anxiety. The server analyzes this data and displays a visual message to the user saying, "Please rest assured that we will help you prepare so that your transfer goes smoothly," while simultaneously automatically selecting relaxing music.

[0211] Examples of prompt messages include phrases like, "Analyze the user's emotional state and suggest appropriate visual and auditory information to provide a comfortable travel experience."

[0212] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0213] Step 1:

[0214] The terminal presents an interface for the user to input information necessary for relocation. The user enters detailed information such as the address and date of the relocation, and job description. This input data, along with biometric information including the user's operation speed and input patterns, is processed in real time by an emotion engine.

[0215] Step 2:

[0216] The device uses an emotion engine to evaluate the user's emotional state. Specifically, it performs pattern analysis of input data and facial recognition to identify emotions such as stress and anxiety. The evaluation results are sent to the server as emotional state data.

[0217] Step 3:

[0218] The server receives emotional state data sent from the emotion engine and user input information, and integrates and analyzes them. Based on the emotional state data, it calls a voice service API to select music appropriate for the user. This process uses a generative AI model to select music that is optimal for the emotional state.

[0219] Step 4:

[0220] The server prepares visual information and messages tailored to the user's emotional state. For example, if the server determines that the user is feeling stressed, it generates an encouraging message such as, "Please rest assured that we will assist you in preparing to ensure your relocation goes smoothly," and sends it back to the user's device.

[0221] Step 5:

[0222] The terminal displays and plays visual information and music received from the server for the user. Specifically, it plays selected relaxing music through the speaker and displays encouraging messages on the screen. This allows the user to proceed with the process in an emotionally supportive environment.

[0223] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0224] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0225] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0226] [Second Embodiment]

[0227] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0228] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0229] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0230] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0231] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0232] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0233] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0234] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0235] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0236] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0237] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0238] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0239] This invention is implemented as a system for streamlining employee transfer procedures within a company. This system operates with users, terminals, and servers as its main components. Specific embodiments of this invention are described below.

[0240] overview

[0241] This system primarily supports transfer applications and procedures within companies, aiming to automate information gathering and procedures within the organization. Users input relevant information into a terminal, and the server automatically generates the necessary documents based on this information, sends them to the relevant departments, and tracks the progress.

[0242] System Components

[0243] User

[0244] This employee is scheduled to relocate. Their role involves using devices (such as PCs or smartphones) to input necessary information into the system. For example, they might enter their new address and desired moving date via a terminal.

[0245] terminal

[0246] It is a device that provides an interface for users to input and verify information. Through a specific web application or software, users can easily input the necessary data.

[0247] server

[0248] This system manages the process of receiving user input, retrieving existing information from the organization's database, and automatically generating documents using an AI agent. The generated documents are automatically submitted to the relevant departments, and the progress is updated in real time.

[0249] Program processing

[0250] When a user enters the necessary data using their device, the server receives that information. This information is managed together with the employee's existing profile data. Based on the information received, the server uses an AI agent to create the necessary documents and send them to the relevant departments. The server, equipped with a progress management function, updates the status as the process progresses and sends notifications to the user. This allows the user to check the status of the process at any time through their device and address any problems early.

[0251] Specific example

[0252] For example, if a user is transferred to a new work location, they enter the necessary information on their terminal. The server then automatically generates the necessary documents, such as a transfer request and a company housing application, based on that data. The generated documents are sent to the relevant departments, such as the human resources department, and the progress of the procedure is managed. The user receives a notification on their terminal when the procedure is complete, allowing them to confirm that the process is finished. This significantly reduces the user's workload, allowing them to focus on important tasks.

[0253] The following describes the processing flow.

[0254] Step 1:

[0255] The user accesses a dedicated transfer information input form on their device and enters the necessary new information (e.g., new address, desired moving date).

[0256] Step 2:

[0257] The terminal sends the entered information to the server and receives the data. The server then retrieves existing information about the user from the company's database.

[0258] Step 3:

[0259] The server combines newly acquired information with existing information to build the profile necessary for the transfer. This forms a comprehensive dataset required for the next processing step.

[0260] Step 4:

[0261] The server activates an AI agent based on the user's profile and automatically generates various documents necessary for the user's relocation. These include relocation application forms and company housing application forms.

[0262] Step 5:

[0263] The server receives documents generated by the AI ​​agent, checks and corrects their formatting, and then automatically sends them to the relevant departments (e.g., Human Resources, Accounting).

[0264] Step 6:

[0265] The server receives completion notifications and progress information from relevant departments and manages the progress in real time by updating the procedure status database.

[0266] Step 7:

[0267] The server notifies the terminal of the progress and completion information of the procedure. By checking this notification on the terminal, the user can understand the status of the procedure and take additional actions as needed.

[0268] (Example 1)

[0269] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0270] Transfer procedures within an organization often involve manual processes such as gathering vast amounts of information, creating documents, and coordinating with relevant departments. This can lead to human error, procedural delays, and decreased work efficiency. Furthermore, the lack of proper communication regarding the progress of the procedures among stakeholders can result in increased effort required for confirmation and inquiries.

[0271] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0272] In this invention, the server includes means for acquiring existing information on transferees collected within the organization, means for providing a terminal for transferees to input new information related to the transfer, and means for automatically generating documents using a generation AI model based on various information necessary for the transfer. This enables the automation of document creation and approval processes in transfer procedures, thereby achieving efficient and rapid work execution. Furthermore, by managing progress and sending timely notifications to users, it becomes possible to smoothly check the status of procedures and respond to problems when they occur.

[0273] "Within the organization" refers to personnel, departments, and work systems within the internal structure of a company or organization.

[0274] "Persons subject to transfer" refers to individuals who are scheduled to transfer or are being transferred within the organization.

[0275] "Existing information" refers to individual profiles and related data that have already been collected within the organization.

[0276] "New information" refers to data such as the address and desired date that the person being transferred or relocated must provide.

[0277] "Terminal" refers to a computer or smart device used by a user to input or verify information.

[0278] A "generative AI model" refers to artificial intelligence technology that automatically generates documents and answers based on given data.

[0279] "Automatic document generation" refers to a process that autonomously creates necessary documents based on standardized information.

[0280] "Relevant departments" refers to specialized departments within the organization that are involved in the transfer process.

[0281] "Progress information" refers to information regarding the current progress or completion status of tasks or procedures.

[0282] "Notification" refers to the means of information transmission sent from the system to the user.

[0283] "Prompt sentence" refers to a sentence that presents specific instructions or question content for the generative AI model.

[0284] This invention is implemented as a system based on the cooperation of users, terminals, and servers to streamline the transfer procedures within an organization. The following describes the specific operation methods.

[0285] To initiate the transfer procedure, the user uses a terminal such as a PC or smartphone to log in to the system. This terminal provides an interface through which the user can intuitively input and confirm information via a specific web application or mobile application. The user inputs information necessary for the transfer, such as the new address and the desired moving date.

[0286] The terminal functions as a gateway for sending the information input by the user to the server. This terminal adopts security protocols such as SSL / TLS to enable the user to input information securely.

[0287] The server receives the information sent from the terminal and retrieves the existing transfer target profile information from the organization's database. Next, using the generative AI model, it automatically generates various documents required for the transfer. This AI model operates based on pre-set prompt sentences and applies standard formats such as transfer forms and company housing occupancy application forms. The generated documents are automatically sent to the relevant departments via email or the organization's file sharing system.

[0288] The server also has a progress management function and updates the progress status every time each stage of the procedure is completed. The user can check this progress status at any time via the terminal, and when the procedure is completed, a notification is automatically sent from the server. This notification function provides an environment in which the user can take prompt actions in the future.

[0289] As a concrete example, let's assume a user wishes to transfer from Tokyo to Osaka. The user enters their new address and desired moving date into their device. Based on this information, the server uses an AI agent to automatically generate the necessary transfer request and company housing application. This document is sent to the appropriate department, and the user can then check the progress of the process on their device.

[0290] Using a prompt such as, "An employee wishing to transfer from Tokyo to Osaka has entered their new address and desired moving date on the web portal. How should the server generate a transfer request and company housing application form and send them to the relevant departments?" will ensure that the correct documents are generated.

[0291] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0292] Step 1:

[0293] The user logs into the terminal and enters the information required for the transfer (e.g., new work location, new address, desired moving date). The entered data is transmitted via a web application. The input process includes data validation, such as checking the format of the data provided by the user and verifying that all required fields are present.

[0294] Step 2:

[0295] The terminal verifies the entered information and ensures its integrity. Once verification is complete, the data is encoded and sent to the server via a secure route. The terminal's role is to safely and accurately transfer user data to the server.

[0296] Step 3:

[0297] The server receives user information transmitted from the terminal and compares the received data with the existing employee profile database. Based on the comparison, the new information is integrated into the profile, updating the data. The data processing performed at this stage involves the integration of existing and new information.

[0298] Step 4:

[0299] The server uses integrated information and a generative AI model to automatically generate necessary documents (e.g., transfer notification form, company housing application form). This process involves passing prompts as input to the AI ​​model, which then outputs the appropriate document format. The generated documents are saved in PDF format.

[0300] Step 5:

[0301] The server sends the generated documents to the relevant departments via email or the organization's file-sharing tool. Once these documents are received, the server updates the progress information of the process. Through this process, the server plays a role in ensuring the smooth progress of procedures within the organization.

[0302] Step 6:

[0303] The server updates the progress of the procedure in real time as it moves forward and sends notifications to the user. The user receives these notifications on their device and checks the current status of the procedure. The notifications include the procedure's stage and instructions for the next action. By sending notifications, users can efficiently manage their transfer procedures.

[0304] (Application Example 1)

[0305] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0306] Transfer procedures occurring within an organization, the creation and progress management of related documents, are labor-intensive and time-consuming for employees. In addition, due to the inefficient transmission of information and tracking of progress between different departments, there are problems that hinder the smooth execution of operations. Moreover, it is difficult to monitor the progress of procedures in real time, and prompt response to users is required. A method for efficiently solving these problems is sought.

[0307] The specific processing by the specific processing unit 290 of the data processing apparatus 12 in Application Example 1 is realized by the following means.

[0308] In this invention, the server includes means for extracting existing information of the transfer target obtained within the organization, means for analyzing the information by natural language processing and generating necessary records from the input data, and means for transmitting a real-time notification to the user during the progress of the procedure. As a result, automatic generation and transmission of documents required for transfer procedures, efficient tracking of progress status, and immediate notification to users become possible.

[0309] The "existing information of the transfer target obtained within the organization" is a general term for past data related to the transfer target managed by the organization.

[0310] The "means for inputting new information" refers to an interface or function for a user to add new data to the system.

[0311] The "means for automatically generating records" refers to a function for automatically creating related documents and files from predetermined information using AI or algorithms.

[0312] The "means for transmitting to the corresponding related department" is a function for automatically delivering the generated information and documents to the designated department through the system.

[0313] The "means for updating the processing progress information" is a function for dynamically recording the progress status of each stage of the process within the system and keeping it in the latest state.

[0314] "Analyzing using natural language processing" refers to the technology of processing natural language data using a computer to understand its meaning and context.

[0315] "Means of sending notifications in real time" refers to communication methods that immediately inform users of important updates and information.

[0316] To implement this invention, a system is built to automate the management of employee transfer procedures within an organization. Specifically, a server plays a central role. The server first retrieves existing information on the person to be transferred from a database, typically using an SQL-based database management system. This organizes past information about the employee.

[0317] Users input new information via their devices (such as PCs or smartphones). This is done using front-end technologies like React and Vue.js to provide a user-friendly interface. The input information is then sent to the server using a Node.js or Python framework (Flask / Django) in the backend.

[0318] The server performs natural language processing based on the input information and existing data to automatically generate the necessary documents. This process utilizes models based on machine learning libraries such as PyTorch and TensorFlow. In particular, it uses a generative AI model to automatically generate text.

[0319] Furthermore, the server needs to send progress information to relevant departments in real time. This function utilizes technologies such as WebSocket and Firebase Cloud Messaging to send notifications. Ultimately, users can check the progress and document approval status in real time.

[0320] As a concrete example, consider a case where a user is changing their address due to a job transfer. The user enters their new address and desired moving date on their terminal. The server analyzes this information and automatically generates a new address notification and a moving permit, similar to those required for internal company procedures, and sends them to the HR and accounting departments.

[0321] Example of a prompt to input into the AI ​​generation model: "Please input the information required for the transfer procedure, automatically generate the documents, and notify me of the progress in real time."

[0322] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0323] Step 1:

[0324] The user uses a terminal to enter information related to their transfer. This information includes their name, new address, and desired transfer date. This information is collected through the terminal's user interface and sent to a backend server.

[0325] Step 2:

[0326] The server compares the received user information with the database and retrieves the necessary existing information. This process uses SQL queries to extract relevant information from the existing employee database. After retrieval, the server integrates the input information with the existing information and formats it as a dataset for the next processing step.

[0327] Step 3:

[0328] The server uses natural language processing to generate the necessary documents based on the formatted dataset. This process utilizes a generative AI model to generate text based on prompts. The output appears in formats such as transfer applications and relocation permits.

[0329] Step 4:

[0330] The server sends the generated documents to the relevant departments. This is done using either an email system or an internal file sharing system, ensuring that the document data is promptly distributed to the designated personnel in each department.

[0331] Step 5:

[0332] The server monitors the progress and sends real-time notifications to users and relevant departments as the process moves forward. Technologies such as WebSocket and Firebase Cloud Messaging are used to ensure instant notification of progress. This allows users to check the progress of the process at any time through their devices.

[0333] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0334] This invention is implemented as a system that combines a user's emotional recognition engine with the internal transfer procedures of a company. This system consists of a user, a terminal, a server, and an emotional recognition engine, and aims to streamline the transfer procedures while providing emotional support to the user.

[0335] overview

[0336] This system not only allows employees to provide the information necessary for relocation and automatically generates and sends documents based on that information, but it also senses the user's emotional state and provides appropriate support as needed.

[0337] System Components

[0338] User

[0339] The employee, who is scheduled to be transferred, will input the necessary information via a terminal. The system will also recognize the user's emotions using an emotion engine during this process.

[0340] terminal

[0341] It provides an interface for users to input and confirm information. It incorporates an emotion engine that analyzes user input data and touch patterns to determine their emotional state.

[0342] server

[0343] It receives user input and data from the emotion engine, integrates them, and processes them. Specifically, it activates an AI agent based on the acquired information to generate documents, analyzes emotion data, and determines the appropriate action.

[0344] Emotional Engine

[0345] The system analyzes user input and actions to evaluate their emotional state (e.g., stress, satisfaction). The resulting emotional evaluation is sent to a server for further processing.

[0346] Program processing

[0347] First, as the user enters the necessary information for their transfer on their device, the emotion engine identifies the user's emotions. The server receives this information and automatically generates the necessary documents for the transfer procedure through an AI agent, while also providing the user with the most appropriate support message based on the emotional data. For example, if the user is feeling stressed, the system provides encouraging messages and help information. Also, if necessary, the human resources department is notified if the emotional state is serious. In this way, the system not only allows users to proceed with the procedure efficiently but also provides emotional support.

[0348] Specific example

[0349] When a user enters relocation information for a job transfer, the emotion engine analyzes the user's input speed and language patterns to recognize if the user is experiencing anxiety. The server receives this emotion data and displays a support message to the user, such as, "We're here to help you prepare for your transfer, so please let us know if you have any questions." If this state persists, the system automatically notifies the human resources department to prepare further support. In this way, users can proceed with the process with peace of mind, and the company as a whole can take care of the mental health of its employees.

[0350] The following describes the processing flow.

[0351] Step 1:

[0352] Users access a dedicated transfer information input form on their device and enter necessary information such as their new address and desired moving date.

[0353] Step 2:

[0354] The device activates an emotion engine in response to user input, analyzing input speed, language patterns, and other factors to determine the user's emotional state.

[0355] Step 3:

[0356] The device sends the acquired emotional state data and the entered information to the server.

[0357] Step 4:

[0358] The server retrieves existing information from the company's database based on the information it receives and builds the necessary profile.

[0359] Step 5:

[0360] The server activates an AI agent that automatically generates the necessary documents based on profile and sentiment data.

[0361] Step 6:

[0362] The server reviews the generated documents and automatically sends them to the relevant departments.

[0363] Step 7:

[0364] The server analyzes emotional data and, if the user is showing signs of stress or anxiety, generates and sends an appropriate support message to the device.

[0365] Step 8:

[0366] The terminal displays support messages received from the server to the user, providing them with a sense of security.

[0367] Step 9:

[0368] The server automatically notifies the human resources department if the emotional state is severe or if certain conditions are met, allowing them to prepare further support.

[0369] Step 10:

[0370] Users can check the progress of the procedure and support messages through their device, and take additional action as needed.

[0371] (Example 2)

[0372] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0373] Corporate transfer procedures involve a significant amount of information processing and document creation, requiring efficient management and accurate support. Furthermore, there is a lack of mechanisms to alleviate employees' psychological burden and provide appropriate emotional support.

[0374] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0375] In this invention, the server includes means for acquiring existing information on transfer targets collected within the organization, means for prompting transfer targets to input new information related to the transfer, and means for analyzing user emotional information and outputting the results. This enables the streamlining of transfer procedures and provides emotional support to employees.

[0376] "Existing information on employees subject to transfer collected within the organization" refers to data such as employee job titles and contact information that are held in advance in relation to the transfer.

[0377] "Means of requiring employees subject to relocation to input new information related to the transfer" refers to the process by which employees input new details necessary for the transfer through an interface.

[0378] "A means of analyzing user emotional information and outputting the results" refers to a process that analyzes user behavior data, evaluates their emotional state, and sends that evaluation to a server.

[0379] "Methods for automatically generating various documents required for relocation" refers to the process of automatically creating official documents and application forms required for relocation through an AI agent.

[0380] "Means of sending automatically generated documents to the relevant organizations" refers to a mechanism for electronically transmitting generated documents to the appropriate departments.

[0381] "Means of updating procedural progress information from related organizations" refers to a method of reflecting the progress of procedures received from relevant departments in a database and updating the information in real time.

[0382] "Means of providing notifications or support information in accordance with the emotional state of the person being moved" refers to the process of providing appropriate messages and support information based on the analyzed emotional state of the employee.

[0383] The embodiment of this invention is a system aimed at improving operational efficiency within a company and supporting the emotional well-being of employees. This system consists of a terminal used by the user (an employee scheduled to be transferred), a server responsible for data processing, and an emotion engine that evaluates the user's emotions.

[0384] The terminal provides an interface for users to input detailed information necessary for relocation. This includes the address of the new location, the relocation date, and requirements for related facilities. The terminal also incorporates an emotion engine that analyzes the user's input behavior (such as input speed and touch patterns) in real time and evaluates their emotional state. The evaluated emotional data is sent to the server as soon as the user completes the input.

[0385] The server integrates user information and sentiment data transmitted from the terminal and automatically generates the necessary documents for a transfer through an AI agent. The AI ​​agent creates the documents using a pre-programmed generative AI model. This process includes all necessary documents, such as transfer approval forms and official notices. Simultaneously, the server analyzes the sentiment data and generates an appropriate support message for the user. This message may include words of encouragement and additional support information.

[0386] As a concrete example, consider the process where a user enters details of their new residence due to a job transfer. In this process, the emotion engine analyzes the user's keystroke speed and expression to detect if the user is feeling anxious. Based on this information, the server generates a message such as, "We are here to help alleviate your anxiety about the transfer. Please feel free to contact us if you have any questions," and displays it on the user's device.

[0387] A concrete example of a prompt message to be input into the generating AI model is: "When a user inputs information about a job transfer, the emotion engine analyzes the user's emotional state and displays necessary support messages to the user." This invention allows users to efficiently complete job transfer procedures and reduce emotional anxiety.

[0388] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0389] Step 1:

[0390] The user uses a terminal to input the information necessary for relocation. This information includes the new address, relocation date, and required equipment. The terminal collects and organizes this information as digital data. After the data is formatted, it is sent to the next processing step.

[0391] Step 2:

[0392] The terminal provides the emotion engine with real-time data on the user's input behavior. Data such as input speed, touch patterns, and keystroke strength are sent to the emotion engine to analyze the user's emotional state. Based on this data, the emotion engine evaluates the user's emotional state, such as stress and anxiety, and outputs the evaluation results to the server.

[0393] Step 3:

[0394] The server receives user information and sentiment evaluation data sent from the terminal. Based on the received data, it automatically generates the necessary documents for the transfer procedure using an AI model. In this process, the AI ​​agent creates the documents according to pre-configured templates and rules. For example, a transfer approval form and a transfer notification form are generated.

[0395] Step 4:

[0396] The server electronically transmits the generated documents to the appropriate organizations, allowing the transfer process to begin quickly. Simultaneously, the server generates an optimal support message for the user based on the sentiment assessment results. This support message can include words of encouragement and detailed procedural guidance.

[0397] Step 5:

[0398] The server sends a generated support message to the terminal, presenting information to the user. This allows the user to receive support tailored to their emotional state, enabling them to proceed with the process with confidence. Furthermore, if the emotional state is severe, the server automatically notifies the human resources department to ensure additional support is in place.

[0399] (Application Example 2)

[0400] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0401] For employees being transferred, the transfer process is complex, and the associated stress is a significant problem. While traditional systems focus on streamlining procedures, they fail to adequately consider the emotional support of those being transferred, thus failing to improve overall satisfaction.

[0402] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0403] In this invention, the server includes means for analyzing the emotional state of the person being transferred and automatically selecting music to provide a comfortable sound environment, means for providing visual information according to the emotional state of the person being transferred, and means for updating procedural progress information from relevant departments. As a result, the person being transferred can not only complete procedures efficiently but also reduce the emotional stress associated with the transfer.

[0404] "Within an organization" refers to a company or group where people and equipment are gathered to perform a specific business activity.

[0405] "Employees subject to relocation" refers to employees who physically move due to a change in work location or job title.

[0406] "Existing information" refers to data related to individuals who are subject to relocation that has already been collected within the organization.

[0407] "New information" refers to new data necessary for ongoing transfers and related procedures.

[0408] "Various documents" refers to documents required for transfer procedures, including various forms of documents such as approval forms and contracts.

[0409] "Relevant departments" refers to the departments within the organization that are involved in transfer procedures or the transfer of employees.

[0410] "Emotional state" refers to an individual's psychological or emotional state, which includes stress levels and satisfaction levels.

[0411] "Automatic music selection" refers to the process of automatically selecting and playing appropriate music based on the emotional state of the passengers.

[0412] "Visual information" refers to images and text information provided to the person being transported through a display device.

[0413] "Progress information" refers to information about the current stage of a procedure.

[0414] The system for realizing this application primarily consists of a server, a terminal integrating an emotion engine, and appropriate output devices. The server aggregates transfer-related information provided by the user and has the function of automatically generating necessary documents based on that information. The server also analyzes the user's emotional state data transmitted from the emotion engine and provides the user with appropriate visual and auditory information based on the results.

[0415] The terminal provides an interface for the user to input information, and an emotion engine analyzes the input data to evaluate the emotional state in real time. This evaluation is based on biometric information such as the user's operation patterns, input speed, and facial expression data. The analyzed emotional state data is sent to a server for further processing.

[0416] The server uses TensorFlow libraries on NVIDIA Jetson hardware to analyze the user's emotional state. This emotional data is then used to call a voice service API to select soothing music if, for example, the user is feeling stressed. It also processes messages and information to display encouragement tailored to the user's emotional state.

[0417] As a concrete example, when a user enters detailed information about a job transfer into a terminal, the emotion engine detects data patterns indicating anxiety. The server analyzes this data and displays a visual message to the user saying, "Please rest assured that we will help you prepare so that your transfer goes smoothly," while simultaneously automatically selecting relaxing music.

[0418] Examples of prompt messages include phrases like, "Analyze the user's emotional state and suggest appropriate visual and auditory information to provide a comfortable travel experience."

[0419] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0420] Step 1:

[0421] The terminal presents an interface for the user to input information necessary for relocation. The user enters detailed information such as the address and date of the relocation, and job description. This input data, along with biometric information including the user's operation speed and input patterns, is processed in real time by an emotion engine.

[0422] Step 2:

[0423] The device uses an emotion engine to evaluate the user's emotional state. Specifically, it performs pattern analysis of input data and facial recognition to identify emotions such as stress and anxiety. The evaluation results are sent to the server as emotional state data.

[0424] Step 3:

[0425] The server receives emotional state data sent from the emotion engine and user input information, and integrates and analyzes them. Based on the emotional state data, it calls a voice service API to select music appropriate for the user. This process uses a generative AI model to select music that is optimal for the emotional state.

[0426] Step 4:

[0427] The server prepares visual information and messages tailored to the user's emotional state. For example, if the server determines that the user is feeling stressed, it generates an encouraging message such as, "Please rest assured that we will assist you in preparing to ensure your relocation goes smoothly," and sends it back to the user's device.

[0428] Step 5:

[0429] The terminal displays and plays visual information and music received from the server for the user. Specifically, it plays selected relaxing music through the speaker and displays encouraging messages on the screen. This allows the user to proceed with the process in an emotionally supportive environment.

[0430] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0431] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0432] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0433] [Third Embodiment]

[0434] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0435] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0436] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0437] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0438] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0439] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0440] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0441] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0442] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0443] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0444] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0445] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0446] This invention is implemented as a system for streamlining employee transfer procedures within a company. This system operates with users, terminals, and servers as its main components. Specific embodiments of this invention are described below.

[0447] overview

[0448] This system primarily supports transfer applications and procedures within companies, aiming to automate information gathering and procedures within the organization. Users input relevant information into a terminal, and the server automatically generates the necessary documents based on this information, sends them to the relevant departments, and tracks the progress.

[0449] System Components

[0450] User

[0451] This employee is scheduled to relocate. Their role involves using devices (such as PCs or smartphones) to input necessary information into the system. For example, they might enter their new address and desired moving date via a terminal.

[0452] terminal

[0453] It is a device that provides an interface for users to input and verify information. Through a specific web application or software, users can easily input the necessary data.

[0454] server

[0455] This system manages the process of receiving user input, retrieving existing information from the organization's database, and automatically generating documents using an AI agent. The generated documents are automatically submitted to the relevant departments, and the progress is updated in real time.

[0456] Program processing

[0457] When a user enters the necessary data using their device, the server receives that information. This information is managed together with the employee's existing profile data. Based on the information received, the server uses an AI agent to create the necessary documents and send them to the relevant departments. The server, equipped with a progress management function, updates the status as the process progresses and sends notifications to the user. This allows the user to check the status of the process at any time through their device and address any problems early.

[0458] Specific example

[0459] For example, if a user is transferred to a new work location, they enter the necessary information on their terminal. The server then automatically generates the necessary documents, such as a transfer request and a company housing application, based on that data. The generated documents are sent to the relevant departments, such as the human resources department, and the progress of the procedure is managed. The user receives a notification on their terminal when the procedure is complete, allowing them to confirm that the process is finished. This significantly reduces the user's workload, allowing them to focus on important tasks.

[0460] The following describes the processing flow.

[0461] Step 1:

[0462] The user accesses a dedicated transfer information input form on their device and enters the necessary new information (e.g., new address, desired moving date).

[0463] Step 2:

[0464] The terminal sends the entered information to the server and receives the data. The server then retrieves existing information about the user from the company's database.

[0465] Step 3:

[0466] The server combines newly acquired information with existing information to build the profile necessary for the transfer. This forms a comprehensive dataset required for the next processing step.

[0467] Step 4:

[0468] The server activates an AI agent based on the user's profile and automatically generates various documents necessary for the user's relocation. These include relocation application forms and company housing application forms.

[0469] Step 5:

[0470] The server receives documents generated by the AI ​​agent, checks and corrects their formatting, and then automatically sends them to the relevant departments (e.g., Human Resources, Accounting).

[0471] Step 6:

[0472] The server receives completion notifications and progress information from relevant departments and manages the progress in real time by updating the procedure status database.

[0473] Step 7:

[0474] The server notifies the terminal of the progress and completion information of the procedure. By checking this notification on the terminal, the user can understand the status of the procedure and take additional actions as needed.

[0475] (Example 1)

[0476] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0477] Transfer procedures within an organization often involve manual processes such as gathering vast amounts of information, creating documents, and coordinating with relevant departments. This can lead to human error, procedural delays, and decreased work efficiency. Furthermore, the lack of proper communication regarding the progress of the procedures among stakeholders can result in increased effort required for confirmation and inquiries.

[0478] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0479] In this invention, the server includes means for acquiring existing information on transferees collected within the organization, means for providing a terminal for transferees to input new information related to the transfer, and means for automatically generating documents using a generation AI model based on various information necessary for the transfer. This enables the automation of document creation and approval processes in transfer procedures, thereby achieving efficient and rapid work execution. Furthermore, by managing progress and sending timely notifications to users, it becomes possible to smoothly check the status of procedures and respond to problems when they occur.

[0480] "Within the organization" refers to personnel, departments, and work systems within the internal structure of a company or organization.

[0481] "Persons subject to transfer" refers to individuals who are scheduled to transfer or are being transferred within the organization.

[0482] "Existing information" refers to individual profiles and related data that have already been collected within the organization.

[0483] "New information" refers to data such as the address and desired date that the person being transferred or relocated must provide.

[0484] "Terminal" refers to a computer or smart device used by a user to input or verify information.

[0485] A "generative AI model" refers to artificial intelligence technology that automatically generates documents and answers based on given data.

[0486] "Automatic document generation" refers to a process that autonomously creates necessary documents based on standardized information.

[0487] "Relevant departments" refers to specialized departments within the organization that are involved in the transfer process.

[0488] "Progress information" refers to information regarding the current progress or completion status of tasks or procedures.

[0489] "Notification" refers to a means of communication that a system sends to a user.

[0490] A "prompt statement" refers to a sentence that presents specific instructions or questions to a generative AI model.

[0491] This invention is implemented as a system based on the cooperation of users, terminals, and servers in order to streamline the transfer procedures within an organization. The specific operation method is described below.

[0492] To begin the relocation process, users log into the system using a device such as a PC or smartphone. This device provides an intuitive interface for users to input and confirm information via a specific web application or mobile application. Users enter the necessary information for the relocation, such as their new address and desired moving date.

[0493] The terminal functions as a gateway for sending information entered by the user to the server. This terminal employs security protocols such as SSL / TLS to ensure that users can enter information securely.

[0494] The server receives information sent from the terminal and retrieves existing transfer target profile information from the organization's database. Next, it uses a generative AI model to automatically generate various documents necessary for the transfer. This AI model operates based on pre-configured prompts and applies standard formats such as transfer requests and company housing application forms. The generated documents are automatically sent to the relevant departments via email or the organization's internal file sharing system.

[0495] The server also has a progress management function, updating the progress status each time a stage of the procedure is completed. Users can check this progress at any time via their terminal, and the server automatically sends a notification when the procedure is completed. This notification function provides users with an environment in which they can take next actions quickly.

[0496] As a concrete example, let's assume a user wishes to transfer from Tokyo to Osaka. The user enters their new address and desired moving date into their device. Based on this information, the server uses an AI agent to automatically generate the necessary transfer request and company housing application. This document is sent to the appropriate department, and the user can then check the progress of the process on their device.

[0497] Using a prompt such as, "An employee wishing to transfer from Tokyo to Osaka has entered their new address and desired moving date on the web portal. How should the server generate a transfer request and company housing application form and send them to the relevant departments?" will ensure that the correct documents are generated.

[0498] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0499] Step 1:

[0500] The user logs into the terminal and enters the information required for the transfer (e.g., new work location, new address, desired moving date). The entered data is transmitted via a web application. The input process includes data validation, such as checking the format of the data provided by the user and verifying that all required fields are present.

[0501] Step 2:

[0502] The terminal verifies the entered information and ensures its integrity. Once verification is complete, the data is encoded and sent to the server via a secure route. The terminal's role is to safely and accurately transfer user data to the server.

[0503] Step 3:

[0504] The server receives user information transmitted from the terminal and compares the received data with the existing employee profile database. Based on the comparison, the new information is integrated into the profile, updating the data. The data processing performed at this stage involves the integration of existing and new information.

[0505] Step 4:

[0506] The server uses integrated information and a generative AI model to automatically generate necessary documents (e.g., transfer notification form, company housing application form). This process involves passing prompts as input to the AI ​​model, which then outputs the appropriate document format. The generated documents are saved in PDF format.

[0507] Step 5:

[0508] The server sends the generated documents to the relevant departments via email or the organization's file-sharing tool. Once these documents are received, the server updates the progress information of the process. Through this process, the server plays a role in ensuring the smooth progress of procedures within the organization.

[0509] Step 6:

[0510] The server updates the progress of the procedure in real time as it moves forward and sends notifications to the user. The user receives these notifications on their device and checks the current status of the procedure. The notifications include the procedure's stage and instructions for the next action. By sending notifications, users can efficiently manage their transfer procedures.

[0511] (Application Example 1)

[0512] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0513] Transfer procedures and related document creation and progress management within an organization are laborious and time-consuming for employees. Furthermore, inefficient information sharing and progress tracking between different departments hinder the smooth operation of business. In addition, real-time monitoring of the process is difficult, requiring quick responses to users. There is a need for efficient solutions to these challenges.

[0514] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0515] In this invention, the server includes means for extracting existing information on transferees acquired within the organization, means for analyzing the information using natural language processing and generating necessary records from the input data, and means for sending real-time notifications to the user as the procedure progresses. This enables the automatic generation and transmission of documents necessary for transfer procedures, efficient tracking of progress, and immediate notification to the user.

[0516] "Existing information on individuals subject to relocation obtained within the organization" refers to the collective historical data on individuals subject to relocation that is managed by the organization.

[0517] "Means for inputting new information" refers to an interface or function that allows users to add new data to the system.

[0518] "Means of automatically generating records" refers to a function that uses AI or algorithms to automatically create relevant documents and records from given information.

[0519] "Means of sending to the relevant departments" refers to a function that automatically delivers generated information and documents to the designated departments through the system.

[0520] "Means for updating processing progress information" refers to a function that dynamically records the progress status of each stage of a process within the system and keeps it up-to-date.

[0521] "Analyzing using natural language processing" refers to the technology of processing natural language data using a computer to understand its meaning and context.

[0522] "Means of sending notifications in real time" refers to communication methods that immediately inform users of important updates and information.

[0523] To implement this invention, a system is built to automate the management of employee transfer procedures within an organization. Specifically, a server plays a central role. The server first retrieves existing information on the person to be transferred from a database, typically using an SQL-based database management system. This organizes past information about the employee.

[0524] Users input new information via their devices (such as PCs or smartphones). This is done using front-end technologies like React and Vue.js to provide a user-friendly interface. The input information is then sent to the server using a Node.js or Python framework (Flask / Django) in the backend.

[0525] The server performs natural language processing based on the input information and existing data to automatically generate the necessary documents. This process utilizes models based on machine learning libraries such as PyTorch and TensorFlow. In particular, it uses a generative AI model to automatically generate text.

[0526] Furthermore, the server needs to send progress information to relevant departments in real time. This function utilizes technologies such as WebSocket and Firebase Cloud Messaging to send notifications. Ultimately, users can check the progress and document approval status in real time.

[0527] As a concrete example, consider a case where a user is changing their address due to a job transfer. The user enters their new address and desired moving date on their terminal. The server analyzes this information and automatically generates a new address notification and a moving permit, similar to those required for internal company procedures, and sends them to the HR and accounting departments.

[0528] Example of a prompt to input into the AI ​​generation model: "Please input the information required for the transfer procedure, automatically generate the documents, and notify me of the progress in real time."

[0529] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0530] Step 1:

[0531] The user uses a terminal to enter information related to their transfer. This information includes their name, new address, and desired transfer date. This information is collected through the terminal's user interface and sent to a backend server.

[0532] Step 2:

[0533] The server compares the received user information with the database and retrieves the necessary existing information. This process uses SQL queries to extract relevant information from the existing employee database. After retrieval, the server integrates the input information with the existing information and formats it as a dataset for the next processing step.

[0534] Step 3:

[0535] The server uses natural language processing to generate the necessary documents based on the formatted dataset. This process utilizes a generative AI model to generate text based on prompts. The output appears in formats such as transfer applications and relocation permits.

[0536] Step 4:

[0537] The server sends the generated documents to the relevant departments. This is done using either an email system or an internal file sharing system, ensuring that the document data is promptly distributed to the designated personnel in each department.

[0538] Step 5:

[0539] The server monitors the progress and sends real-time notifications to users and relevant departments as the process moves forward. Technologies such as WebSocket and Firebase Cloud Messaging are used to ensure instant notification of progress. This allows users to check the progress of the process at any time through their devices.

[0540] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0541] This invention is implemented as a system that combines a user's emotional recognition engine with the internal transfer procedures of a company. This system consists of a user, a terminal, a server, and an emotional recognition engine, and aims to streamline the transfer procedures while providing emotional support to the user.

[0542] overview

[0543] This system not only allows employees to provide the information necessary for relocation and automatically generates and sends documents based on that information, but it also senses the user's emotional state and provides appropriate support as needed.

[0544] System Components

[0545] User

[0546] The employee, who is scheduled to be transferred, will input the necessary information via a terminal. The system will also recognize the user's emotions using an emotion engine during this process.

[0547] terminal

[0548] It provides an interface for users to input and confirm information. It incorporates an emotion engine that analyzes user input data and touch patterns to determine their emotional state.

[0549] server

[0550] It receives user input and data from the emotion engine, integrates them, and processes them. Specifically, it activates an AI agent based on the acquired information to generate documents, analyzes emotion data, and determines the appropriate action.

[0551] Emotional Engine

[0552] The system analyzes user input and actions to evaluate their emotional state (e.g., stress, satisfaction). The resulting emotional evaluation is sent to a server for further processing.

[0553] Program processing

[0554] First, as the user enters the necessary information for their transfer on their device, the emotion engine identifies the user's emotions. The server receives this information and automatically generates the necessary documents for the transfer procedure through an AI agent, while also providing the user with the most appropriate support message based on the emotional data. For example, if the user is feeling stressed, the system provides encouraging messages and help information. Also, if necessary, the human resources department is notified if the emotional state is serious. In this way, the system not only allows users to proceed with the procedure efficiently but also provides emotional support.

[0555] Specific example

[0556] When a user enters relocation information for a job transfer, the emotion engine analyzes the user's input speed and language patterns to recognize if the user is experiencing anxiety. The server receives this emotion data and displays a support message to the user, such as, "We're here to help you prepare for your transfer, so please let us know if you have any questions." If this state persists, the system automatically notifies the human resources department to prepare further support. In this way, users can proceed with the process with peace of mind, and the company as a whole can take care of the mental health of its employees.

[0557] The following describes the processing flow.

[0558] Step 1:

[0559] Users access a dedicated transfer information input form on their device and enter necessary information such as their new address and desired moving date.

[0560] Step 2:

[0561] The device activates an emotion engine in response to user input, analyzing input speed, language patterns, and other factors to determine the user's emotional state.

[0562] Step 3:

[0563] The device sends the acquired emotional state data and the entered information to the server.

[0564] Step 4:

[0565] The server retrieves existing information from the company's database based on the information it receives and builds the necessary profile.

[0566] Step 5:

[0567] The server activates an AI agent that automatically generates the necessary documents based on profile and sentiment data.

[0568] Step 6:

[0569] The server reviews the generated documents and automatically sends them to the relevant departments.

[0570] Step 7:

[0571] The server analyzes emotional data and, if the user is showing signs of stress or anxiety, generates and sends an appropriate support message to the device.

[0572] Step 8:

[0573] The terminal displays support messages received from the server to the user, providing them with a sense of security.

[0574] Step 9:

[0575] The server automatically notifies the human resources department if the emotional state is severe or if certain conditions are met, allowing them to prepare further support.

[0576] Step 10:

[0577] Users can check the progress of the procedure and support messages through their device, and take additional action as needed.

[0578] (Example 2)

[0579] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0580] Corporate transfer procedures involve a significant amount of information processing and document creation, requiring efficient management and accurate support. Furthermore, there is a lack of mechanisms to alleviate employees' psychological burden and provide appropriate emotional support.

[0581] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0582] In this invention, the server includes means for acquiring existing information on transfer targets collected within the organization, means for prompting transfer targets to input new information related to the transfer, and means for analyzing user emotional information and outputting the results. This enables the streamlining of transfer procedures and provides emotional support to employees.

[0583] "Existing information on employees subject to transfer collected within the organization" refers to data such as employee job titles and contact information that are held in advance in relation to the transfer.

[0584] "Means of requiring employees subject to relocation to input new information related to the transfer" refers to the process by which employees input new details necessary for the transfer through an interface.

[0585] "A means of analyzing user emotional information and outputting the results" refers to a process that analyzes user behavior data, evaluates their emotional state, and sends that evaluation to a server.

[0586] "Methods for automatically generating various documents required for relocation" refers to the process of automatically creating official documents and application forms required for relocation through an AI agent.

[0587] "Means of sending automatically generated documents to the relevant organizations" refers to a mechanism for electronically transmitting generated documents to the appropriate departments.

[0588] "Means of updating procedural progress information from related organizations" refers to a method of reflecting the progress of procedures received from relevant departments in a database and updating the information in real time.

[0589] "Means of providing notifications or support information in accordance with the emotional state of the person being moved" refers to the process of providing appropriate messages and support information based on the analyzed emotional state of the employee.

[0590] The embodiment of this invention is a system aimed at improving operational efficiency within a company and supporting the emotional well-being of employees. This system consists of a terminal used by the user (an employee scheduled to be transferred), a server responsible for data processing, and an emotion engine that evaluates the user's emotions.

[0591] The terminal provides an interface for users to input detailed information necessary for relocation. This includes the address of the new location, the relocation date, and requirements for related facilities. The terminal also incorporates an emotion engine that analyzes the user's input behavior (such as input speed and touch patterns) in real time and evaluates their emotional state. The evaluated emotional data is sent to the server as soon as the user completes the input.

[0592] The server integrates user information and sentiment data transmitted from the terminal and automatically generates the necessary documents for a transfer through an AI agent. The AI ​​agent creates the documents using a pre-programmed generative AI model. This process includes all necessary documents, such as transfer approval forms and official notices. Simultaneously, the server analyzes the sentiment data and generates an appropriate support message for the user. This message may include words of encouragement and additional support information.

[0593] As a concrete example, consider the process where a user enters details of their new residence due to a job transfer. In this process, the emotion engine analyzes the user's keystroke speed and expression to detect if the user is feeling anxious. Based on this information, the server generates a message such as, "We are here to help alleviate your anxiety about the transfer. Please feel free to contact us if you have any questions," and displays it on the user's device.

[0594] A concrete example of a prompt message to be input into the generating AI model is: "When a user inputs information about a job transfer, the emotion engine analyzes the user's emotional state and displays necessary support messages to the user." This invention allows users to efficiently complete job transfer procedures and reduce emotional anxiety.

[0595] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0596] Step 1:

[0597] The user uses a terminal to input the information necessary for relocation. This information includes the new address, relocation date, and required equipment. The terminal collects and organizes this information as digital data. After the data is formatted, it is sent to the next processing step.

[0598] Step 2:

[0599] The terminal provides the emotion engine with real-time data on the user's input behavior. Data such as input speed, touch patterns, and keystroke strength are sent to the emotion engine to analyze the user's emotional state. Based on this data, the emotion engine evaluates the user's emotional state, such as stress and anxiety, and outputs the evaluation results to the server.

[0600] Step 3:

[0601] The server receives user information and sentiment evaluation data sent from the terminal. Based on the received data, it automatically generates the necessary documents for the transfer procedure using an AI model. In this process, the AI ​​agent creates the documents according to pre-configured templates and rules. For example, a transfer approval form and a transfer notification form are generated.

[0602] Step 4:

[0603] The server electronically transmits the generated documents to the appropriate organizations, allowing the transfer process to begin quickly. Simultaneously, the server generates an optimal support message for the user based on the sentiment assessment results. This support message can include words of encouragement and detailed procedural guidance.

[0604] Step 5:

[0605] The server sends a generated support message to the terminal, presenting information to the user. This allows the user to receive support tailored to their emotional state, enabling them to proceed with the process with confidence. Furthermore, if the emotional state is severe, the server automatically notifies the human resources department to ensure additional support is in place.

[0606] (Application Example 2)

[0607] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0608] For employees being transferred, the transfer process is complex, and the associated stress is a significant problem. While traditional systems focus on streamlining procedures, they fail to adequately consider the emotional support of those being transferred, thus failing to improve overall satisfaction.

[0609] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0610] In this invention, the server includes means for analyzing the emotional state of the person being transferred and automatically selecting music to provide a comfortable sound environment, means for providing visual information according to the emotional state of the person being transferred, and means for updating procedural progress information from relevant departments. As a result, the person being transferred can not only complete procedures efficiently but also reduce the emotional stress associated with the transfer.

[0611] "Within an organization" refers to a company or group where people and equipment are gathered to perform a specific business activity.

[0612] "Employees subject to relocation" refers to employees who physically move due to a change in work location or job title.

[0613] "Existing information" refers to data related to individuals who are subject to relocation that has already been collected within the organization.

[0614] "New information" refers to new data necessary for ongoing transfers and related procedures.

[0615] "Various documents" refers to documents required for transfer procedures, including various forms of documents such as approval forms and contracts.

[0616] "Relevant departments" refers to the departments within the organization that are involved in transfer procedures or the transfer of employees.

[0617] "Emotional state" refers to an individual's psychological or emotional state, which includes stress levels and satisfaction levels.

[0618] "Automatic music selection" refers to the process of automatically selecting and playing appropriate music based on the emotional state of the passengers.

[0619] "Visual information" refers to images and text information provided to the person being transported through a display device.

[0620] "Progress information" refers to information about the current stage of a procedure.

[0621] The system for realizing this application primarily consists of a server, a terminal integrating an emotion engine, and appropriate output devices. The server aggregates transfer-related information provided by the user and has the function of automatically generating necessary documents based on that information. The server also analyzes the user's emotional state data transmitted from the emotion engine and provides the user with appropriate visual and auditory information based on the results.

[0622] The terminal provides an interface for the user to input information, and an emotion engine analyzes the input data to evaluate the emotional state in real time. This evaluation is based on biometric information such as the user's operation patterns, input speed, and facial expression data. The analyzed emotional state data is sent to a server for further processing.

[0623] The server uses TensorFlow libraries on NVIDIA Jetson hardware to analyze the user's emotional state. This emotional data is then used to call a voice service API to select soothing music if, for example, the user is feeling stressed. It also processes messages and information to display encouragement tailored to the user's emotional state.

[0624] As a concrete example, when a user enters detailed information about a job transfer into a terminal, the emotion engine detects data patterns indicating anxiety. The server analyzes this data and displays a visual message to the user saying, "Please rest assured that we will help you prepare so that your transfer goes smoothly," while simultaneously automatically selecting relaxing music.

[0625] Examples of prompt messages include phrases like, "Analyze the user's emotional state and suggest appropriate visual and auditory information to provide a comfortable travel experience."

[0626] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0627] Step 1:

[0628] The terminal presents an interface for the user to input information necessary for relocation. The user enters detailed information such as the address and date of the relocation, and job description. This input data, along with biometric information including the user's operation speed and input patterns, is processed in real time by an emotion engine.

[0629] Step 2:

[0630] The device uses an emotion engine to evaluate the user's emotional state. Specifically, it performs pattern analysis of input data and facial recognition to identify emotions such as stress and anxiety. The evaluation results are sent to the server as emotional state data.

[0631] Step 3:

[0632] The server receives emotional state data sent from the emotion engine and user input information, and integrates and analyzes them. Based on the emotional state data, it calls a voice service API to select music appropriate for the user. This process uses a generative AI model to select music that is optimal for the emotional state.

[0633] Step 4:

[0634] The server prepares visual information and messages tailored to the user's emotional state. For example, if the server determines that the user is feeling stressed, it generates an encouraging message such as, "Please rest assured that we will assist you in preparing to ensure your relocation goes smoothly," and sends it back to the user's device.

[0635] Step 5:

[0636] The terminal displays and plays visual information and music received from the server for the user. Specifically, it plays selected relaxing music through the speaker and displays encouraging messages on the screen. This allows the user to proceed with the process in an emotionally supportive environment.

[0637] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0638] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0639] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0640] [Fourth Embodiment]

[0641] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0642] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0643] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0644] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0645] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0646] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0647] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0648] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0649] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0650] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0651] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0652] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0653] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0654] This invention is implemented as a system for streamlining employee transfer procedures within a company. This system operates with users, terminals, and servers as its main components. Specific embodiments of this invention are described below.

[0655] overview

[0656] This system primarily supports transfer applications and procedures within companies, aiming to automate information gathering and procedures within the organization. Users input relevant information into a terminal, and the server automatically generates the necessary documents based on this information, sends them to the relevant departments, and tracks the progress.

[0657] System Components

[0658] User

[0659] This employee is scheduled to relocate. Their role involves using devices (such as PCs or smartphones) to input necessary information into the system. For example, they might enter their new address and desired moving date via a terminal.

[0660] terminal

[0661] It is a device that provides an interface for users to input and verify information. Through a specific web application or software, users can easily input the necessary data.

[0662] server

[0663] This system manages the process of receiving user input, retrieving existing information from the organization's database, and automatically generating documents using an AI agent. The generated documents are automatically submitted to the relevant departments, and the progress is updated in real time.

[0664] Program processing

[0665] When a user enters the necessary data using their device, the server receives that information. This information is managed together with the employee's existing profile data. Based on the information received, the server uses an AI agent to create the necessary documents and send them to the relevant departments. The server, equipped with a progress management function, updates the status as the process progresses and sends notifications to the user. This allows the user to check the status of the process at any time through their device and address any problems early.

[0666] Specific example

[0667] For example, if a user is transferred to a new work location, they enter the necessary information on their terminal. The server then automatically generates the necessary documents, such as a transfer request and a company housing application, based on that data. The generated documents are sent to the relevant departments, such as the human resources department, and the progress of the procedure is managed. The user receives a notification on their terminal when the procedure is complete, allowing them to confirm that the process is finished. This significantly reduces the user's workload, allowing them to focus on important tasks.

[0668] The following describes the processing flow.

[0669] Step 1:

[0670] The user accesses a dedicated transfer information input form on their device and enters the necessary new information (e.g., new address, desired moving date).

[0671] Step 2:

[0672] The terminal sends the entered information to the server and receives the data. The server then retrieves existing information about the user from the company's database.

[0673] Step 3:

[0674] The server combines newly acquired information with existing information to build the profile necessary for the transfer. This forms a comprehensive dataset required for the next processing step.

[0675] Step 4:

[0676] The server activates an AI agent based on the user's profile and automatically generates various documents necessary for the user's relocation. These include relocation application forms and company housing application forms.

[0677] Step 5:

[0678] The server receives documents generated by the AI ​​agent, checks and corrects their formatting, and then automatically sends them to the relevant departments (e.g., Human Resources, Accounting).

[0679] Step 6:

[0680] The server receives completion notifications and progress information from relevant departments and manages the progress in real time by updating the procedure status database.

[0681] Step 7:

[0682] The server notifies the terminal of the progress and completion information of the procedure. By checking this notification on the terminal, the user can understand the status of the procedure and take additional actions as needed.

[0683] (Example 1)

[0684] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0685] Transfer procedures within an organization often involve manual processes such as gathering vast amounts of information, creating documents, and coordinating with relevant departments. This can lead to human error, procedural delays, and decreased work efficiency. Furthermore, the lack of proper communication regarding the progress of the procedures among stakeholders can result in increased effort required for confirmation and inquiries.

[0686] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0687] In this invention, the server includes means for acquiring existing information on transferees collected within the organization, means for providing a terminal for transferees to input new information related to the transfer, and means for automatically generating documents using a generation AI model based on various information necessary for the transfer. This enables the automation of document creation and approval processes in transfer procedures, thereby achieving efficient and rapid work execution. Furthermore, by managing progress and sending timely notifications to users, it becomes possible to smoothly check the status of procedures and respond to problems when they occur.

[0688] "Within the organization" refers to personnel, departments, and work systems within the internal structure of a company or organization.

[0689] "Persons subject to transfer" refers to individuals who are scheduled to transfer or are being transferred within the organization.

[0690] "Existing information" refers to individual profiles and related data that have already been collected within the organization.

[0691] "New information" refers to data such as the address and desired date that the person being transferred or relocated must provide.

[0692] "Terminal" refers to a computer or smart device used by a user to input or verify information.

[0693] A "generative AI model" refers to artificial intelligence technology that automatically generates documents and answers based on given data.

[0694] "Automatic document generation" refers to a process that autonomously creates necessary documents based on standardized information.

[0695] "Relevant departments" refers to specialized departments within the organization that are involved in the transfer process.

[0696] "Progress information" refers to information regarding the current progress or completion status of tasks or procedures.

[0697] "Notification" refers to a means of communication that a system sends to a user.

[0698] A "prompt statement" refers to a sentence that presents specific instructions or questions to a generative AI model.

[0699] This invention is implemented as a system based on the cooperation of users, terminals, and servers in order to streamline the transfer procedures within an organization. The specific operation method is described below.

[0700] To begin the relocation process, users log into the system using a device such as a PC or smartphone. This device provides an intuitive interface for users to input and confirm information via a specific web application or mobile application. Users enter the necessary information for the relocation, such as their new address and desired moving date.

[0701] The terminal functions as a gateway for sending information entered by the user to the server. This terminal employs security protocols such as SSL / TLS to ensure that users can enter information securely.

[0702] The server receives information sent from the terminal and retrieves existing transfer target profile information from the organization's database. Next, it uses a generative AI model to automatically generate various documents necessary for the transfer. This AI model operates based on pre-configured prompts and applies standard formats such as transfer requests and company housing application forms. The generated documents are automatically sent to the relevant departments via email or the organization's internal file sharing system.

[0703] The server also has a progress management function, updating the progress status each time a stage of the procedure is completed. Users can check this progress at any time via their terminal, and the server automatically sends a notification when the procedure is completed. This notification function provides users with an environment in which they can take next actions quickly.

[0704] As a concrete example, let's assume a user wishes to transfer from Tokyo to Osaka. The user enters their new address and desired moving date into their device. Based on this information, the server uses an AI agent to automatically generate the necessary transfer request and company housing application. This document is sent to the appropriate department, and the user can then check the progress of the process on their device.

[0705] Using a prompt such as, "An employee wishing to transfer from Tokyo to Osaka has entered their new address and desired moving date on the web portal. How should the server generate a transfer request and company housing application form and send them to the relevant departments?" will ensure that the correct documents are generated.

[0706] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0707] Step 1:

[0708] The user logs into the terminal and enters the information required for the transfer (e.g., new work location, new address, desired moving date). The entered data is transmitted via a web application. The input process includes data validation, such as checking the format of the data provided by the user and verifying that all required fields are present.

[0709] Step 2:

[0710] The terminal verifies the entered information and ensures its integrity. Once verification is complete, the data is encoded and sent to the server via a secure route. The terminal's role is to safely and accurately transfer user data to the server.

[0711] Step 3:

[0712] The server receives user information transmitted from the terminal and compares the received data with the existing employee profile database. Based on the comparison, the new information is integrated into the profile, updating the data. The data processing performed at this stage involves the integration of existing and new information.

[0713] Step 4:

[0714] The server uses integrated information and a generative AI model to automatically generate necessary documents (e.g., transfer notification form, company housing application form). This process involves passing prompts as input to the AI ​​model, which then outputs the appropriate document format. The generated documents are saved in PDF format.

[0715] Step 5:

[0716] The server sends the generated documents to the relevant departments via email or the organization's file-sharing tool. Once these documents are received, the server updates the progress information of the process. Through this process, the server plays a role in ensuring the smooth progress of procedures within the organization.

[0717] Step 6:

[0718] The server updates the progress of the procedure in real time as it moves forward and sends notifications to the user. The user receives these notifications on their device and checks the current status of the procedure. The notifications include the procedure's stage and instructions for the next action. By sending notifications, users can efficiently manage their transfer procedures.

[0719] (Application Example 1)

[0720] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0721] Transfer procedures and related document creation and progress management within an organization are laborious and time-consuming for employees. Furthermore, inefficient information sharing and progress tracking between different departments hinder the smooth operation of business. In addition, real-time monitoring of the process is difficult, requiring quick responses to users. There is a need for efficient solutions to these challenges.

[0722] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0723] In this invention, the server includes means for extracting existing information on transferees acquired within the organization, means for analyzing the information using natural language processing and generating necessary records from the input data, and means for sending real-time notifications to the user as the procedure progresses. This enables the automatic generation and transmission of documents necessary for transfer procedures, efficient tracking of progress, and immediate notification to the user.

[0724] "Existing information on individuals subject to relocation obtained within the organization" refers to the collective historical data on individuals subject to relocation that is managed by the organization.

[0725] "Means for inputting new information" refers to an interface or function that allows users to add new data to the system.

[0726] "Means of automatically generating records" refers to a function that uses AI or algorithms to automatically create relevant documents and records from given information.

[0727] "Means of sending to the relevant departments" refers to a function that automatically delivers generated information and documents to the designated departments through the system.

[0728] "Means for updating processing progress information" refers to a function that dynamically records the progress status of each stage of a process within the system and keeps it up-to-date.

[0729] "Analyzing using natural language processing" refers to the technology of processing natural language data using a computer to understand its meaning and context.

[0730] "Means of sending notifications in real time" refers to communication methods that immediately inform users of important updates and information.

[0731] To implement this invention, a system is built to automate the management of employee transfer procedures within an organization. Specifically, a server plays a central role. The server first retrieves existing information on the person to be transferred from a database, typically using an SQL-based database management system. This organizes past information about the employee.

[0732] Users input new information via their devices (such as PCs or smartphones). This is done using front-end technologies like React and Vue.js to provide a user-friendly interface. The input information is then sent to the server using a Node.js or Python framework (Flask / Django) in the backend.

[0733] The server performs natural language processing based on the input information and existing data to automatically generate the necessary documents. This process utilizes models based on machine learning libraries such as PyTorch and TensorFlow. In particular, it uses a generative AI model to automatically generate text.

[0734] Furthermore, the server needs to send progress information to relevant departments in real time. This function utilizes technologies such as WebSocket and Firebase Cloud Messaging to send notifications. Ultimately, users can check the progress and document approval status in real time.

[0735] As a concrete example, consider a case where a user is changing their address due to a job transfer. The user enters their new address and desired moving date on their terminal. The server analyzes this information and automatically generates a new address notification and a moving permit, similar to those required for internal company procedures, and sends them to the HR and accounting departments.

[0736] Example of a prompt to input into the AI ​​generation model: "Please input the information required for the transfer procedure, automatically generate the documents, and notify me of the progress in real time."

[0737] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0738] Step 1:

[0739] The user uses a terminal to enter information related to their transfer. This information includes their name, new address, and desired transfer date. This information is collected through the terminal's user interface and sent to a backend server.

[0740] Step 2:

[0741] The server compares the received user information with the database and retrieves the necessary existing information. This process uses SQL queries to extract relevant information from the existing employee database. After retrieval, the server integrates the input information with the existing information and formats it as a dataset for the next processing step.

[0742] Step 3:

[0743] The server uses natural language processing to generate the necessary documents based on the formatted dataset. This process utilizes a generative AI model to generate text based on prompts. The output appears in formats such as transfer applications and relocation permits.

[0744] Step 4:

[0745] The server sends the generated documents to the relevant departments. This is done using either an email system or an internal file sharing system, ensuring that the document data is promptly distributed to the designated personnel in each department.

[0746] Step 5:

[0747] The server monitors the progress and sends real-time notifications to users and relevant departments as the process moves forward. Technologies such as WebSocket and Firebase Cloud Messaging are used to ensure instant notification of progress. This allows users to check the progress of the process at any time through their devices.

[0748] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0749] This invention is implemented as a system that combines a user's emotional recognition engine with the internal transfer procedures of a company. This system consists of a user, a terminal, a server, and an emotional recognition engine, and aims to streamline the transfer procedures while providing emotional support to the user.

[0750] overview

[0751] This system not only allows employees to provide the information necessary for relocation and automatically generates and sends documents based on that information, but it also senses the user's emotional state and provides appropriate support as needed.

[0752] System Components

[0753] User

[0754] The employee, who is scheduled to be transferred, will input the necessary information via a terminal. The system will also recognize the user's emotions using an emotion engine during this process.

[0755] terminal

[0756] It provides an interface for users to input and confirm information. It incorporates an emotion engine that analyzes user input data and touch patterns to determine their emotional state.

[0757] server

[0758] It receives user input and data from the emotion engine, integrates them, and processes them. Specifically, it activates an AI agent based on the acquired information to generate documents, analyzes emotion data, and determines the appropriate action.

[0759] Emotional Engine

[0760] The system analyzes user input and actions to evaluate their emotional state (e.g., stress, satisfaction). The resulting emotional evaluation is sent to a server for further processing.

[0761] Program processing

[0762] First, as the user enters the necessary information for their transfer on their device, the emotion engine identifies the user's emotions. The server receives this information and automatically generates the necessary documents for the transfer procedure through an AI agent, while also providing the user with the most appropriate support message based on the emotional data. For example, if the user is feeling stressed, the system provides encouraging messages and help information. Also, if necessary, the human resources department is notified if the emotional state is serious. In this way, the system not only allows users to proceed with the procedure efficiently but also provides emotional support.

[0763] Specific example

[0764] When a user enters relocation information for a job transfer, the emotion engine analyzes the user's input speed and language patterns to recognize if the user is experiencing anxiety. The server receives this emotion data and displays a support message to the user, such as, "We're here to help you prepare for your transfer, so please let us know if you have any questions." If this state persists, the system automatically notifies the human resources department to prepare further support. In this way, users can proceed with the process with peace of mind, and the company as a whole can take care of the mental health of its employees.

[0765] The following describes the processing flow.

[0766] Step 1:

[0767] Users access a dedicated transfer information input form on their device and enter necessary information such as their new address and desired moving date.

[0768] Step 2:

[0769] The device activates an emotion engine in response to user input, analyzing input speed, language patterns, and other factors to determine the user's emotional state.

[0770] Step 3:

[0771] The device sends the acquired emotional state data and the entered information to the server.

[0772] Step 4:

[0773] The server retrieves existing information from the company's database based on the information it receives and builds the necessary profile.

[0774] Step 5:

[0775] The server activates an AI agent that automatically generates the necessary documents based on profile and sentiment data.

[0776] Step 6:

[0777] The server reviews the generated documents and automatically sends them to the relevant departments.

[0778] Step 7:

[0779] The server analyzes emotional data and, if the user is showing signs of stress or anxiety, generates and sends an appropriate support message to the device.

[0780] Step 8:

[0781] The terminal displays support messages received from the server to the user, providing them with a sense of security.

[0782] Step 9:

[0783] The server automatically notifies the human resources department if the emotional state is severe or if certain conditions are met, allowing them to prepare further support.

[0784] Step 10:

[0785] Users can check the progress of the procedure and support messages through their device, and take additional action as needed.

[0786] (Example 2)

[0787] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0788] Corporate transfer procedures involve a significant amount of information processing and document creation, requiring efficient management and accurate support. Furthermore, there is a lack of mechanisms to alleviate employees' psychological burden and provide appropriate emotional support.

[0789] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0790] In this invention, the server includes means for acquiring existing information on transfer targets collected within the organization, means for prompting transfer targets to input new information related to the transfer, and means for analyzing user emotional information and outputting the results. This enables the streamlining of transfer procedures and provides emotional support to employees.

[0791] "Existing information on employees subject to transfer collected within the organization" refers to data such as employee job titles and contact information that are held in advance in relation to the transfer.

[0792] "Means of requiring employees subject to relocation to input new information related to the transfer" refers to the process by which employees input new details necessary for the transfer through an interface.

[0793] "A means of analyzing user emotional information and outputting the results" refers to a process that analyzes user behavior data, evaluates their emotional state, and sends that evaluation to a server.

[0794] "Methods for automatically generating various documents required for relocation" refers to the process of automatically creating official documents and application forms required for relocation through an AI agent.

[0795] "Means of sending automatically generated documents to the relevant organizations" refers to a mechanism for electronically transmitting generated documents to the appropriate departments.

[0796] "Means of updating procedural progress information from related organizations" refers to a method of reflecting the progress of procedures received from relevant departments in a database and updating the information in real time.

[0797] "Means of providing notifications or support information in accordance with the emotional state of the person being moved" refers to the process of providing appropriate messages and support information based on the analyzed emotional state of the employee.

[0798] The embodiment of this invention is a system aimed at improving operational efficiency within a company and supporting the emotional well-being of employees. This system consists of a terminal used by the user (an employee scheduled to be transferred), a server responsible for data processing, and an emotion engine that evaluates the user's emotions.

[0799] The terminal provides an interface for users to input detailed information necessary for relocation. This includes the address of the new location, the relocation date, and requirements for related facilities. The terminal also incorporates an emotion engine that analyzes the user's input behavior (such as input speed and touch patterns) in real time and evaluates their emotional state. The evaluated emotional data is sent to the server as soon as the user completes the input.

[0800] The server integrates user information and sentiment data transmitted from the terminal and automatically generates the necessary documents for a transfer through an AI agent. The AI ​​agent creates the documents using a pre-programmed generative AI model. This process includes all necessary documents, such as transfer approval forms and official notices. Simultaneously, the server analyzes the sentiment data and generates an appropriate support message for the user. This message may include words of encouragement and additional support information.

[0801] As a concrete example, consider the process where a user enters details of their new residence due to a job transfer. In this process, the emotion engine analyzes the user's keystroke speed and expression to detect if the user is feeling anxious. Based on this information, the server generates a message such as, "We are here to help alleviate your anxiety about the transfer. Please feel free to contact us if you have any questions," and displays it on the user's device.

[0802] A concrete example of a prompt message to be input into the generating AI model is: "When a user inputs information about a job transfer, the emotion engine analyzes the user's emotional state and displays necessary support messages to the user." This invention allows users to efficiently complete job transfer procedures and reduce emotional anxiety.

[0803] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0804] Step 1:

[0805] The user uses a terminal to input the information necessary for relocation. This information includes the new address, relocation date, and required equipment. The terminal collects and organizes this information as digital data. After the data is formatted, it is sent to the next processing step.

[0806] Step 2:

[0807] The terminal provides the emotion engine with real-time data on the user's input behavior. Data such as input speed, touch patterns, and keystroke strength are sent to the emotion engine to analyze the user's emotional state. Based on this data, the emotion engine evaluates the user's emotional state, such as stress and anxiety, and outputs the evaluation results to the server.

[0808] Step 3:

[0809] The server receives user information and sentiment evaluation data sent from the terminal. Based on the received data, it automatically generates the necessary documents for the transfer procedure using an AI model. In this process, the AI ​​agent creates the documents according to pre-configured templates and rules. For example, a transfer approval form and a transfer notification form are generated.

[0810] Step 4:

[0811] The server electronically transmits the generated documents to the appropriate organizations, allowing the transfer process to begin quickly. Simultaneously, the server generates an optimal support message for the user based on the sentiment assessment results. This support message can include words of encouragement and detailed procedural guidance.

[0812] Step 5:

[0813] The server sends a generated support message to the terminal, presenting information to the user. This allows the user to receive support tailored to their emotional state, enabling them to proceed with the process with confidence. Furthermore, if the emotional state is severe, the server automatically notifies the human resources department to ensure additional support is in place.

[0814] (Application Example 2)

[0815] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0816] For employees being transferred, the transfer process is complex, and the associated stress is a significant problem. While traditional systems focus on streamlining procedures, they fail to adequately consider the emotional support of those being transferred, thus failing to improve overall satisfaction.

[0817] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0818] In this invention, the server includes means for analyzing the emotional state of the person being transferred and automatically selecting music to provide a comfortable sound environment, means for providing visual information according to the emotional state of the person being transferred, and means for updating procedural progress information from relevant departments. As a result, the person being transferred can not only complete procedures efficiently but also reduce the emotional stress associated with the transfer.

[0819] "Within an organization" refers to a company or group where people and equipment are gathered to perform a specific business activity.

[0820] "Employees subject to relocation" refers to employees who physically move due to a change in work location or job title.

[0821] "Existing information" refers to data related to individuals who are subject to relocation that has already been collected within the organization.

[0822] "New information" refers to new data necessary for ongoing transfers and related procedures.

[0823] "Various documents" refers to documents required for transfer procedures, including various forms of documents such as approval forms and contracts.

[0824] "Relevant departments" refers to the departments within the organization that are involved in transfer procedures or the transfer of employees.

[0825] "Emotional state" refers to an individual's psychological or emotional state, which includes stress levels and satisfaction levels.

[0826] "Automatic music selection" refers to the process of automatically selecting and playing appropriate music based on the emotional state of the passengers.

[0827] "Visual information" refers to images and text information provided to the person being transported through a display device.

[0828] "Progress information" refers to information about the current stage of a procedure.

[0829] The system for realizing this application primarily consists of a server, a terminal integrating an emotion engine, and appropriate output devices. The server aggregates transfer-related information provided by the user and has the function of automatically generating necessary documents based on that information. The server also analyzes the user's emotional state data transmitted from the emotion engine and provides the user with appropriate visual and auditory information based on the results.

[0830] The terminal provides an interface for the user to input information, and an emotion engine analyzes the input data to evaluate the emotional state in real time. This evaluation is based on biometric information such as the user's operation patterns, input speed, and facial expression data. The analyzed emotional state data is sent to a server for further processing.

[0831] The server uses TensorFlow libraries on NVIDIA Jetson hardware to analyze the user's emotional state. This emotional data is then used to call a voice service API to select soothing music if, for example, the user is feeling stressed. It also processes messages and information to display encouragement tailored to the user's emotional state.

[0832] As a concrete example, when a user enters detailed information about a job transfer into a terminal, the emotion engine detects data patterns indicating anxiety. The server analyzes this data and displays a visual message to the user saying, "Please rest assured that we will help you prepare so that your transfer goes smoothly," while simultaneously automatically selecting relaxing music.

[0833] Examples of prompt messages include phrases like, "Analyze the user's emotional state and suggest appropriate visual and auditory information to provide a comfortable travel experience."

[0834] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0835] Step 1:

[0836] The terminal presents an interface for the user to input information necessary for relocation. The user enters detailed information such as the address and date of the relocation, and job description. This input data, along with biometric information including the user's operation speed and input patterns, is processed in real time by an emotion engine.

[0837] Step 2:

[0838] The device uses an emotion engine to evaluate the user's emotional state. Specifically, it performs pattern analysis of input data and facial recognition to identify emotions such as stress and anxiety. The evaluation results are sent to the server as emotional state data.

[0839] Step 3:

[0840] The server receives emotional state data sent from the emotion engine and user input information, and integrates and analyzes them. Based on the emotional state data, it calls a voice service API to select music appropriate for the user. This process uses a generative AI model to select music that is optimal for the emotional state.

[0841] Step 4:

[0842] The server prepares visual information and messages tailored to the user's emotional state. For example, if the server determines that the user is feeling stressed, it generates an encouraging message such as, "Please rest assured that we will assist you in preparing to ensure your relocation goes smoothly," and sends it back to the user's device.

[0843] Step 5:

[0844] The terminal displays and plays visual information and music received from the server for the user. Specifically, it plays selected relaxing music through the speaker and displays encouraging messages on the screen. This allows the user to proceed with the process in an emotionally supportive environment.

[0845] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0846] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0847] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0848] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0849] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0850] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0851] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0852] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0853] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0854] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0855] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0856] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0857] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0858] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0859] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0860] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0861] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0862] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0863] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0864] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0865] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0866] The following is further disclosed regarding the embodiments described above.

[0867] (Claim 1)

[0868] Means for obtaining existing information on individuals subject to transfer collected within the organization,

[0869] A means of having the person subject to relocation enter new information related to the transfer,

[0870] A means to automatically generate various documents required for relocation,

[0871] A means of sending automatically generated documents to the relevant departments,

[0872] A system that includes a means of updating procedural progress information from relevant departments.

[0873] (Claim 2)

[0874] The system according to claim 1, further comprising means for notifying the person to be moved.

[0875] (Claim 3)

[0876] The system according to claim 1, further comprising means for managing information entered by the person to be transported and for displaying the progress status of the procedure.

[0877] "Example 1"

[0878] (Claim 1)

[0879] Means for obtaining existing information on individuals subject to transfer collected within the organization,

[0880] A means of providing a terminal for employees subject to relocation to input new information related to the transfer,

[0881] A method for automatically generating documents using an AI model based on various information necessary for relocation,

[0882] A means of sending automatically generated documents to the relevant departments,

[0883] A means of managing and automatically updating progress information,

[0884] A means of sending notifications to allow users to check the progress in real time,

[0885] A system that includes this.

[0886] (Claim 2)

[0887] The system according to claim 1, further comprising means for managing information entered by a person on the move using an information processing device and processing it using a generative AI model that utilizes prompt sentences.

[0888] (Claim 3)

[0889] The system according to claim 1, which extends the progress management function within an organization and has a function to visually display the progress of a procedure.

[0890] "Application Example 1"

[0891] (Claim 1)

[0892] A means of extracting existing information on individuals subject to transfer obtained within the organization,

[0893] A means of having the person subject to relocation enter new information related to the transfer,

[0894] A means of automatically generating various records necessary for transfers,

[0895] A means of sending automatically generated records to the relevant departments,

[0896] A means of updating processing progress information from relevant departments,

[0897] A means for analyzing information using natural language processing and generating necessary records from input data,

[0898] A system that includes means for sending real-time notifications to the user as a procedure progresses.

[0899] (Claim 2)

[0900] The system according to claim 1, further comprising means for notifying the person to be moved.

[0901] (Claim 3)

[0902] The system according to claim 1, further comprising means for managing information entered by the person being moved and for displaying the progress status of the process.

[0903] "Example 2 of combining an emotion engine"

[0904] (Claim 1)

[0905] Means for obtaining existing information on individuals subject to transfer collected within the organization,

[0906] A means of having the person subject to relocation enter new information related to the transfer,

[0907] A means of analyzing user sentiment information and outputting the results,

[0908] A means to automatically generate various documents required for relocation,

[0909] A means of sending automatically generated documents to the relevant organizations,

[0910] A system that includes means for updating information on the progress of procedures from related organizations.

[0911] (Claim 2)

[0912] The system according to claim 1, further comprising means for providing notification or support information according to the emotional state of the person being moved.

[0913] (Claim 3)

[0914] The system according to claim 1, further comprising means for managing information entered by the person to be transported and for displaying the progress status of the procedure.

[0915] "Application example 2 when combining with an emotional engine"

[0916] (Claim 1)

[0917] Means for obtaining existing information on individuals subject to transfer collected within the organization,

[0918] A means of having the person subject to relocation enter new information related to the transfer,

[0919] A means to automatically generate various documents required for relocation,

[0920] A means of sending automatically generated documents to the corresponding department,

[0921] A means of updating procedural progress information from the department,

[0922] A means of analyzing the emotional state of the person being transported and automatically selecting music to provide a comfortable sound environment,

[0923] A system that includes means for providing visual information according to the emotional state of the person being moved.

[0924] (Claim 2)

[0925] The system according to claim 1, further comprising means for notifying the person to be moved.

[0926] (Claim 3)

[0927] The system according to claim 1, further comprising means for managing information entered by the person to be transported and for displaying the progress status of the procedure. [Explanation of Symbols]

[0928] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Means for obtaining existing information on individuals subject to transfer collected within the organization, A means of having the person subject to relocation enter new information related to the transfer, A means to automatically generate various documents required for relocation, A means of sending automatically generated documents to the relevant departments, A system that includes a means of updating procedural progress information from relevant departments.

2. The system according to claim 1, further comprising means for notifying persons to be moved.

3. The system according to claim 1, further comprising means for managing information entered by the person to be transported and for displaying the progress status of the procedure.

Images