system

Abstract

We provide the system. [Solution] In an information processing system that automates paperwork procedures for personnel transfers involving relocation, A means of receiving location information from the user, A means for obtaining movement-related information from an information aggregation device within the organization based on the received location information, A means of automatically generating documents using acquired movement-related information, A means of allowing the user to confirm the contents of the generated document, A means of sending the verified document to the relevant department within the organization, A system that includes means for communicating data with administrative agencies and service providers based on location information, and for centrally managing prescribed procedural information.

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 a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In a personnel transfer involving a change of residence, many documents that employees must submit to the company are very cumbersome, resulting in the problem that they cannot concentrate on important tasks. Solving this problem and streamlining the procedures are required. Furthermore, although much of the necessary information is already grasped within the company, it is also an issue that it has not been utilized effectively.

Means for Solving the Problems

[0005] This invention provides a system that includes an agent that, in the event of a personnel transfer involving relocation, receives new address information from the user, automatically retrieves transfer-related information from the company's internal database, and automatically generates documents based on that data. As a result, the user can complete various procedures with only minimal information input, and the document creation process is streamlined by utilizing an artificial intelligence algorithm. After the user confirms the documents, they can be automatically submitted to the relevant department within the company, significantly reducing the amount of effort required.

[0006] "Personnel transfers involving relocation" refers to transfers that require employees to move from their current address to a new work location.

[0007] "Document procedures" refers to the process of creating and submitting official documents and applications related to a job transfer.

[0008] An "agent" refers to a program or software system that automatically performs a specific task.

[0009] "User" refers to an employee or individual who operates the system and inputs information.

[0010] "Address information" refers to data indicating the location of the new residence at the transfer destination.

[0011] An "internal corporate database" refers to a collection of electronic information, including employee information and business-related data, that is managed and held by a company.

[0012] "Transfer-related information" refers to all relevant information required during the transfer process (e.g., the date of issuance and information on the work location).

[0013] "Means of generation" refers to the process or method of creating the desired documents or data based on the input information.

[0014] An "artificial intelligence algorithm" refers to a computational method that allows a computer to automatically learn or reason.

[0015] "Responsible department" refers to a department or section within an enterprise that has the responsibility for handling specific business operations or procedures.

Brief Explanation of Drawings

[0016] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0019] In the following embodiments, a 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.

[0020] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, a 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, etc.

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] 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."

[0024] [First Embodiment]

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

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0031] 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.

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

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] This invention is implemented through a system that automates paperwork procedures for personnel transfers involving relocation. The system mainly consists of agents that communicate with users, terminals, and servers to streamline the process.

[0038] The user first enters their new address into the terminal. This initiates the process. The terminal sends the entered information to the server. The server accesses the company's internal database and automatically retrieves the transfer information related to the user. This information includes the date of the transfer, current work location, and department information.

[0039] The server automatically generates the necessary documents based on the data obtained. Here, an artificial intelligence algorithm optimizes the document templates and minimizes user input. The generated documents are sent electronically to the terminal, and the user is notified. The user reviews the documents via the terminal and makes any necessary corrections if any are missing or require modification.

[0040] Once the user reviews the document content and determines there are no problems, the server formally submits the final version of the document to the relevant department within the company. The submission is done electronically, and an electronic signature is added as needed. This entire process significantly reduces the time users spend on paperwork. Throughout the process, users can focus on more important tasks.

[0041] For example, if an employee is instructed to transfer from Tokyo to Osaka, the user enters their new Osaka address into the terminal, the server collects updated information from Tokyo, automatically generates the necessary official documents, and submits them after the user's confirmation. This process minimizes direct interaction with the HR department, allowing employees to efficiently prepare for their transfer.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The user enters their new address using a terminal. This input specifies the exact address of their new residence, which is required when relocating for work.

[0045] Step 2:

[0046] The terminal sends the user ID and the entered new address to the server. The terminal ensures data security by encrypting the information during communication.

[0047] Step 3:

[0048] Based on the user ID received by the server, it accesses the company's internal database. The server retrieves necessary travel-related information, such as the date of issuance, current work location, and department.

[0049] Step 4:

[0050] The server internally verifies the information it has acquired. If there are any omissions or inconsistencies, it generates an error message and sends it back to the terminal.

[0051] Step 5:

[0052] The server uses valid information to select a document template and automatically generates the necessary documents using an AI algorithm. During this process, the obtained data is efficiently embedded into the format.

[0053] Step 6:

[0054] The server sends the generated document to the terminal. The terminal then presents it to the user and prompts them to confirm its contents.

[0055] Step 7:

[0056] Users review the document content via their device and make corrections or additions as needed. This input is then sent back to the server and reflected in the document.

[0057] Step 8:

[0058] The server receives user modifications and generates the final version of the document. This final version has been reviewed by the user and is processed as an official document.

[0059] Step 9:

[0060] The server electronically submits the final version of the documents to the relevant department at the company. This submission officially completes the transfer process.

[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] Traditional paperwork procedures for personnel transfers involving relocation were cumbersome and required significant time and effort from users. Furthermore, manual input errors and oversights were common, resulting in overall low efficiency. Additionally, users were unable to focus on their core tasks, leading to decreased overall work efficiency.

[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 receiving address information from a user, means for accessing an internal corporate information recording medium to acquire movement-related information, and means for using artificial intelligence processing technology to automatically generate documents using the acquired information. This enables users to efficiently complete procedures and dedicate more time to their work.

[0066] A "user" refers to an individual who operates an information processing device to input address information or verify documents.

[0067] "Address information" refers to detailed information about a new place of residence following a move.

[0068] A "server" refers to a computer device that stores, processes, and transmits data, playing a central role in the entire system.

[0069] An "information processing device" is an electronic device used by users to input and receive information.

[0070] "In-house information recording media" refers to devices or media used for managing employee information, including databases and information recording systems maintained by a company.

[0071] "Relocation-related information" refers to various types of information concerning changes in an employee's workplace that involve relocation.

[0072] "Artificial intelligence processing technology" refers to technologies used by computer programs to automatically generate and optimize systems.

[0073] "Documents" refer to official documents related to the transfer procedure that require user verification and company approval.

[0074] "Electronically submitting" refers to the act of sending documents as digital data to the relevant department within a company.

[0075] The following describes embodiments for carrying out the invention.

[0076] This invention is a system for streamlining the paperwork procedures for personnel transfers that involve relocation. The system primarily consists of a server, terminals, and users, and has functions to support the creation and submission of documents while communicating with each other.

[0077] First, the user uses a terminal, which is an information processing device, to enter new address information. The entered information is sent from the terminal to the server. The server accesses information storage media installed within the company and retrieves movement-related information associated with the user. This automatically collects information such as the employee's appointment date and department.

[0078] Next, the server uses the acquired information and leverages artificial intelligence processing technology to automatically generate the necessary documents. Specifically, it can use Python libraries to efficiently embed data into templates and optimize the documents. The generated documents are then sent electronically to the terminal for the user to review.

[0079] Users review document contents via their terminals and make corrections as needed. Once the review is complete, the documents are electronically submitted to the relevant departments within the company via the server. Electronic signatures are added during this process, if necessary.

[0080] For example, when an employee is transferred to a new work location, the user can follow prompts such as, "Please enter your new address and proceed with the necessary procedures." By using this system, users can reduce the time spent on paperwork and focus on more important tasks.

[0081] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0082] Step 1:

[0083] The user enters new address information using a terminal, which is an information processing device. The input is done in text format in the address field, and the process is completed by clicking the "Submit" button. This saves the user's input data to the terminal's input buffer. Specifically, the process involves entering the required information into a form as text, confirming it, and then submitting it.

[0084] Step 2:

[0085] The terminal sends the address information entered by the user to the server. The data is encrypted via the HTTPS protocol and sent to the server over a secure communication path. The input is captured by the terminal's application and output to the server as encoded packets. Specifically, the terminal's program automatically handles the data transmission process.

[0086] Step 3:

[0087] The server accesses the company's internal information storage media based on the received address information and retrieves transfer-related information. Using the database management system, an SQL query is executed, and the transfer information of the relevant user (issuance date, department, and work location) is extracted and output. Specifically, the system searches for and extracts relevant information from the database.

[0088] Step 4:

[0089] The server automatically generates documents using artificial intelligence processing technology based on acquired movement-related information. AI algorithms written in programming languages ​​such as Python embed data into templates, creating optimized documents. This allows the system to output necessary documents with minimal user input. Specifically, the core of the system is the automated generation process using AI models.

[0090] Step 5:

[0091] The server sends the generated document to the terminal and notifies the user. The user is notified of the document's arrival via email or the terminal's notification system. The output document is displayed on the terminal in a format that the user can review. Specifically, the system includes a function to automatically send a notification after document generation is complete.

[0092] Step 6:

[0093] The user reviews the document content via their device and makes corrections as needed. After editing the displayed document and completing the review, they press the "Review Complete" button. The corrected document is then output for the user to review. Specific operations include editing and reviewing the content according to the on-screen instructions.

[0094] Step 7:

[0095] The server electronically submits the user-verified documents as the final version to the relevant departments within the company. The output data is digitally signed and submitted in a format authenticated as an official document. Specifically, the documents are delivered to the designated departments via mail servers or document management systems.

[0096] (Application Example 1)

[0097] 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."

[0098] In modern times, procedures related to personnel transfers involving relocation or changes of address for residents are time-consuming and cumbersome, requiring the preparation of numerous documents and communication with multiple institutions. This leads to procedural complexity, errors, and wasted time. The present invention aims to streamline these procedures, reduce the burden on users, and enable them to be completed quickly and accurately.

[0099] 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.

[0100] In this invention, the server includes means for receiving location information from a user, means for obtaining movement-related information from an information aggregation device within the organization based on the received location information, and means for automatically generating documents using the obtained movement-related information. This enables the user to centrally manage and efficiently execute multiple procedures.

[0101] A "personnel transfer involving relocation" refers to a job transfer that requires an individual to move to a new place of residence for work-related reasons.

[0102] An "information processing system" is a combination of related hardware and software for collecting, processing, storing, and transmitting data.

[0103] "Location information" refers to information indicating the address or residential area of ​​an individual or legal entity, and is fundamental data for various procedures and communications.

[0104] An "information storage device" is a system or device for storing and managing data, enabling the easy acquisition and use of information.

[0105] A "document" is a collection of information, usually consisting of text and image data, created to achieve a specific purpose.

[0106] "Data communication" refers to communication technologies and methods for transmitting information from one point to another.

[0107] A "trained algorithm" is a set of computational procedures that have completed a data-driven learning process and have been optimized to efficiently perform a specific task.

[0108] As a form for carrying out the invention, this system is constructed as follows.

[0109] First, the user enters their location information using a smart device. This device has a dedicated application installed, providing the user with a simple interface. Because this application is developed using React Native, it can operate on a variety of devices.

[0110] The location information entered by the user is sent to the server. The backend utilizes either the Flask or Django framework using Python for data processing and management. The server runs on AWS® or Google® Cloud Platform, offering high availability and scalability. The server interacts with data aggregation devices to retrieve necessary travel-related information within the organization.

[0111] Next, the server automatically generates documents based on the acquired data. This generation process uses a trained algorithm to create the necessary documents while streamlining data processing. In particular, it simplifies procedures by communicating data with government agencies and service providers and centrally managing procedural information.

[0112] After generating the document, the server sends it to the user for review and correction. This process allows the user to manage multiple procedures simultaneously and complete tasks efficiently.

[0113] For example, if a user enters a new address, such as "1-1-1, Chuo-ku, Osaka City," the system will automatically handle the transfer of residence registration and renewal of utility contracts. In this process, the server uses APIs from various government agencies to send data and follow up on the related procedures.

[0114] An example of a prompt message to input into the generating AI model would be: "Design a system to automate administrative procedures and service updates associated with a new address. For example, centrally manage the procedures based on location information entered by the user."

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

[0116] Step 1:

[0117] The user uses their device to enter location information into the application. The entered information is sent to the server via the user interface in the format {"new_address": "1-1-1 Chuo-ku, Osaka City"}.

[0118] Step 2:

[0119] The server receives location information, accesses the information aggregation device, and retrieves relevant movement-related information. At this time, the server uses SQL queries to retrieve the necessary information from the database (e.g., relocation history and relevant existing contract information) and formats the data in the format {"related_data": {"move_history": ..., "current_contracts": ...}}.

[0120] Step 3:

[0121] The server applies a trained algorithm based on the acquired movement-related information to automatically generate the necessary documents. Specifically, it maps the relevant data to a template and generates {"generated_document": "<document_content> It generates output in the format "}". In this process, the server uses a Python location-based synthesis library (e.g., Jinja2).

[0122] Step 4:

[0123] The generated document is sent to the terminal for review by the user. The terminal displays the document, and the user reviews the content and provides input if corrections are needed.

[0124] Step 5:

[0125] Once the user reviews the document and determines that there are no problems with its content, the server sends the final version of the document to the relevant department within the organization or to an external service provider. The output data is sent with an electronic signature. The transmission is performed using a secure communication protocol (e.g., HTTPS).

[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 uses a system that combines an automated agent and an emotion engine to handle paperwork related to personnel transfers that involve relocation. The system is configured to improve the efficiency of procedures and reduce the burden on users by coordinating users, terminals, and servers with each other.

[0128] The user first enters their new address into the terminal. This is a crucial step in the user's preparation for relocation. The terminal sends the entered address to the server, which accesses the company's database based on the user ID. The server automatically retrieves relocation-related information from the database, such as the date of the relocation, previous work location, and department.

[0129] The server automatically generates the necessary documents based on this information. The AI ​​algorithm used optimizes the document templates and minimizes user input. The generated documents are sent to the terminal, where the user can review their contents. After reviewing, the user enters any necessary corrections or supplementary information and sends it back to the server.

[0130] Furthermore, this system incorporates an emotion engine that uses voice and facial expression data to analyze the user's stress level and emotional state. Based on the user's emotional state, the system adjusts the user interface to make operations more intuitive and reduce the burden of procedures. For example, if the system determines that the user is in a high-stress state, it provides feedback that simplifies the terminal's operation procedures.

[0131] For example, if an employee is ordered to transfer from Tokyo to Osaka, the user enters their new address in Osaka, and the server collects the necessary information. If the emotion engine detects the user's stress, the terminal simplifies the process and prompts quick document verification, reducing the burden on the employee. In this way, employees can prepare for their transfer more smoothly.

[0132] The following describes the processing flow.

[0133] Step 1:

[0134] The user enters the new address into the device. Here, the user registers the exact address of their new workplace on the device's input screen.

[0135] Step 2:

[0136] The terminal sends the entered address information and user ID to the server. At this stage, the information is encrypted and securely sent to the server.

[0137] Step 3:

[0138] The server accesses the company's internal database to retrieve user-related travel information. The server automatically retrieves data including the date of issuance, current work location, and departmental affiliation.

[0139] Step 4:

[0140] The server verifies the information it retrieves to check for any missing user IDs or available data. If there are any omissions, an error message is sent to the terminal prompting the user to make corrections.

[0141] Step 5:

[0142] The server uses AI algorithms to automatically generate the necessary documents based on the acquired information. Information is embedded in document templates, minimizing user effort.

[0143] Step 6:

[0144] The server generates a document and sends it to the terminal for the user to review. The user checks the document contents on the terminal screen and looks for any missing information or errors.

[0145] Step 7:

[0146] The user provides data to the emotion engine through their facial expressions and voice via their device. Based on this data, the emotion engine understands the user's emotional state.

[0147] Step 8:

[0148] The server receives feedback from the emotion engine and adjusts the interface according to the user's stress level. If the user is determined to be highly stressed, a guide that simplifies the operation procedure is displayed on the terminal.

[0149] Step 9:

[0150] If the user determines that there are no problems with the document content, they will finalize the document and send it to the server.

[0151] Step 10:

[0152] The server submits the finalized documents to the relevant department at the company. This submission officially completes the transfer process.

[0153] (Example 2)

[0154] 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".

[0155] Traditional paperwork procedures for personnel transfers involving relocation are burdensome for users and have a high probability of errors due to the complexity of the process. Furthermore, the lack of consideration for users' emotional states contributes to increased stress. There is a need to solve these problems and create an efficient and user-friendly system.

[0156] 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.

[0157] In this invention, the server includes a device for receiving address information, a data management unit for acquiring information based on the received address information, and an AI processing unit for creating electronic documents using the acquired information. This automates the document processing process, reduces the burden on the user, and allows for interface adjustment according to the user's emotional state.

[0158] "Address information" refers to data that includes detailed location information and contact details about a user's new residence when they move.

[0159] "Device" refers to a mechanical or electronic means for performing a specific function, and in this invention, it refers to a device used for receiving and processing address information.

[0160] A "data management unit" is a system component that organizes received data and retrieves additional data from external sources as needed.

[0161] An "AI processing unit" refers to computing resources used to perform complex processing and automation using artificial intelligence algorithms, and in this invention, it is used for the automatic generation of documents.

[0162] An "electronic document" is a document in digital format that is created, stored, and transmitted on a computer or electronic device.

[0163] "Emotional state" refers to the user's psychological and emotional condition, and in this invention, it means the user's stress level and emotional changes.

[0164] "Interface" refers to a screen or physical means for a user to interact directly with a system, and specifically refers to a user interface designed to facilitate user operation.

[0165] This invention provides a system for automating paperwork in personnel transfers involving relocation, and offers a method to reduce the burden on users based on address information. This system is effectively operated through the cooperation of users, terminals, and servers.

[0166] The user begins by entering their new address into the device. The device operates as a standard PC or smartphone application, providing a user-friendly interface for entering address information. The entered data is then transmitted to the server via the internet.

[0167] The server receives address information via a data management unit and uses that information to access the company's database. MySQL® and Oracle are commonly used as database management systems (DBMS). The server quickly collects relevant information such as past work locations, departments, and appointment dates based on the user's ID.

[0168] The collected data is processed by an AI processing unit installed on the server. This unit utilizes a generative AI model to automatically generate appropriate documents from multiple templates. The generated documents are transferred to the terminal in PDF format or other formats, allowing the user to review their contents.

[0169] Furthermore, it features an emotion engine that analyzes the user's emotional state. The device uses the user's voice and facial expression data acquired through the camera and microphone to estimate stress and emotional changes using technologies such as TENSORFLOW®. Based on these analysis results, the device adaptively adjusts the interface to reduce the user's operational burden.

[0170] As a concrete example, if a user is ordered to transfer from Tokyo to Osaka, the user enters their new Osaka address on the terminal. The server automatically retrieves the necessary information from the database, and an AI algorithm generates a "transfer notice." If the emotion engine detects the user's stress, the terminal automatically simplifies the operating procedure and adjusts to allow for quick document review.

[0171] Examples of prompt messages to use when inputting data into a generative AI model:

[0172] "Please use the transfer procedure system to generate the necessary documents for a new address resulting from a transfer from Tokyo to Osaka. Please consider ways to minimize the burden on users."

[0173] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0174] Step 1:

[0175] The user enters their new address into the terminal. The terminal receives the address data via an input device and stores it in its internal data structure. The entered new address information is used as the basis for future procedures.

[0176] Step 2:

[0177] The terminal sends the entered address information to the server. Specifically, the terminal generates an HTTP request over the internet and sends the address information to the server. This data is then prepared for further processing on the server.

[0178] Step 3:

[0179] The server receives address information and uses the data management unit to access the corporate database. The server uses the user ID in its queries to retrieve relevant information such as past work locations, departments, and appointment dates. The information retrieved from the database is used in the next processing step.

[0180] Step 4:

[0181] The server transfers the acquired information to an AI processing unit to generate documents. This unit utilizes a generation AI model to automatically generate the necessary documents based on templates. The specific output is a document sent to the terminal in PDF format.

[0182] Step 5:

[0183] The terminal displays the document received from the server and allows the user to review it. The user reviews the document content through the interface, identifying any errors or areas requiring additional information. The user's responses are used in the next step.

[0184] Step 6:

[0185] The user makes corrections to the document on the terminal if necessary. The terminal resends the corrected information to the server. The server receives the corrected information, makes any necessary updates, and generates the final document.

[0186] Step 7:

[0187] The emotion engine operates to analyze the user's emotional state. The device uses its camera and microphone to acquire user facial expression data and voice, and transmits this data to the server. The server performs emotion analysis using technologies such as TensorFlow, and generates decision-making data to optimize the interface based on the results.

[0188] Step 8:

[0189] The device adjusts the user interface based on the results of emotion analysis. For example, if it is determined that the user is in a high-stress state, the device simplifies the operation steps it presents and modifies the interface to allow for more intuitive operation.

[0190] (Application Example 2)

[0191] 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".

[0192] Traditionally, procedures for personnel transfers involving relocation and the introduction of new machinery have often been handled manually, resulting in a significant burden on users at each step of the paperwork and procedural process. Furthermore, since the emotional stress of users is not taken into consideration in these processes, there is a need for efficient methods that reduce this burden.

[0193] 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.

[0194] In this invention, the server includes means for receiving address information or device information from a user, means for obtaining relevant information from a database based on the received information, means for automatically generating documents using the obtained relevant information, and means for analyzing the user's emotional state using an emotion recognition engine and optimizing procedural steps. This enables automation of procedures, reduction of user burden, and optimization of operations according to the user's emotional state.

[0195] "Personnel transfers involving relocation" refers to personnel changes that require employees to move to a new address due to a change in their work location.

[0196] "Machine installation" refers to the process of installing and operating new equipment or systems on-site.

[0197] An "agent that automates procedures" is a program or system that automatically performs various procedural tasks that would otherwise be done manually.

[0198] A "user" is an individual or legal entity that operates or utilizes the system.

[0199] "Address information" refers to data that indicates a person's physical place of residence or place of work.

[0200] "Equipment information" refers to data that shows the specifications and settings of the machinery or system to be installed.

[0201] A "database" is an electronic collection of information used to systematically store and utilize information.

[0202] "Related information" refers to supplementary data necessary for a particular process or procedure.

[0203] "Means for generating documents" refers to a method or apparatus for automatically creating necessary documents from collected data.

[0204] An "emotion recognition engine" is a program or device that analyzes a user's facial expressions and voice data to determine their emotions.

[0205] "Optimizing procedural steps" means making the flow and methods of procedures more efficient based on the user's situation and circumstances.

[0206] To realize this invention, a system comprising the following configuration is used: The user enters new address or device information using a terminal, which then transmits this information to a server. Based on the user's input, the server retrieves relevant information from corporate and project databases. For example, in the case of relocation, information such as past workplaces and the date of the relocation notice is collected; in the case of machine installation, equipment specifications and deployment plans are collected.

[0207] The server automatically generates documents based on relevant information. This process utilizes a generation AI model to optimize document templates and minimize user input. The generated documents are sent to the user's terminal, where they can review the content. After review, the user makes any necessary corrections or additions and sends the final version to the server.

[0208] Furthermore, the server uses an emotion recognition engine to analyze the user's emotions from voice and facial expression data. This data analysis utilizes Google Cloud AI and other machine learning models. If the system determines that the user is experiencing high levels of stress, the terminal simplifies the procedure and provides a more intuitive interface.

[0209] As a concrete example, consider the process of introducing a new factory robot. When a user puts on smart glasses and says the voice command "Prepare for new robot introduction," the system starts the necessary procedures based on that prompt. An example of a prompt might be, "Generate templates for the necessary procedural documents when introducing a new factory robot, and simplify the introduction guide according to the operator's emotional state. If the operator is highly stressed, encourage dialogue." This allows the user to proceed with the procedure efficiently.

[0210] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0211] Step 1:

[0212] The user enters the new address or device information into the terminal. The entered information is stored as digital data on the terminal. The input format varies depending on the situation, such as address or specifications. The terminal transmits this input data to the server via the internet.

[0213] Step 2:

[0214] The server analyzes the address or device information received from the terminal and accesses the database to retrieve relevant information. The database query is constructed based on this input data, outputting past address history, machine specifications, and other relevant information. The server aggregates this data to form a dataset that serves as input for the next processing step.

[0215] Step 3:

[0216] The server automatically generates documents based on the acquired relevant information. In this process, a generation AI model is used to analyze the data and select the optimal document template. Designed to minimize user input, it automatically fills in the necessary fields. The resulting documents are provided in electronic format and sent to the terminal.

[0217] Step 4:

[0218] The user reviews the document generated on the terminal. If there are any errors or if additional information is needed, they directly correct or enter the information. The terminal then sends the corrected data back to the server.

[0219] Step 5:

[0220] The server uses an emotion recognition engine to analyze the user's voice and facial expression data. The input data used is captured by sensors on the smart device. Based on the analysis results, the server evaluates the user's stress level and adjusts the interface and procedural steps accordingly.

[0221] Step 6:

[0222] Based on the results of emotion recognition, the device automatically optimizes the procedure steps. If the system determines that the user is experiencing high stress, it provides feedback and adjusts the interface to simplify the operation steps. It utilizes prompts to guide the user clearly.

[0223] Step 7:

[0224] Once the user completes the final confirmation, the server compiles all the data and submits it to the relevant department. If necessary, it undergoes digital signing and additional verification processes before being output as an official submission document. Once all processes are complete, the user receives a completion notification via their device.

[0225] 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.

[0226] Data generation model 58 is a type of 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.

[0227] 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.

[0228] [Second Embodiment]

[0229] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0230] 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.

[0231] 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).

[0232] 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.

[0233] 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.

[0234] 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).

[0235] 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.

[0236] 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.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] 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".

[0241] This invention is implemented through a system that automates paperwork procedures for personnel transfers involving relocation. The system mainly consists of agents that communicate with users, terminals, and servers to streamline the process.

[0242] The user first enters their new address into the terminal. This initiates the process. The terminal sends the entered information to the server. The server accesses the company's internal database and automatically retrieves the transfer information related to the user. This information includes the date of the transfer, current work location, and department information.

[0243] The server automatically generates the necessary documents based on the data obtained. Here, an artificial intelligence algorithm optimizes the document templates and minimizes user input. The generated documents are sent electronically to the terminal, and the user is notified. The user reviews the documents via the terminal and makes any necessary corrections if any are missing or require modification.

[0244] Once the user reviews the document content and determines there are no problems, the server formally submits the final version of the document to the relevant department within the company. The submission is done electronically, and an electronic signature is added as needed. This entire process significantly reduces the time users spend on paperwork. Throughout the process, users can focus on more important tasks.

[0245] For example, if an employee is instructed to transfer from Tokyo to Osaka, the user enters their new Osaka address into the terminal, the server collects updated information from Tokyo, automatically generates the necessary official documents, and submits them after the user's confirmation. This process minimizes direct interaction with the HR department, allowing employees to efficiently prepare for their transfer.

[0246] The following describes the processing flow.

[0247] Step 1:

[0248] The user enters their new address using a terminal. This input specifies the exact address of their new residence, which is required when relocating for work.

[0249] Step 2:

[0250] The terminal sends the user ID and the entered new address to the server. The terminal ensures data security by encrypting the information during communication.

[0251] Step 3:

[0252] Based on the user ID received by the server, it accesses the company's internal database. The server retrieves necessary travel-related information, such as the date of issuance, current work location, and department.

[0253] Step 4:

[0254] The server internally verifies the information it has acquired. If there are any omissions or inconsistencies, it generates an error message and sends it back to the terminal.

[0255] Step 5:

[0256] The server uses valid information to select a document template and automatically generates the necessary documents using an AI algorithm. During this process, the obtained data is efficiently embedded into the format.

[0257] Step 6:

[0258] The server sends the generated document to the terminal. The terminal then presents it to the user and prompts them to confirm its contents.

[0259] Step 7:

[0260] Users review the document content via their device and make corrections or additions as needed. This input is then sent back to the server and reflected in the document.

[0261] Step 8:

[0262] The server receives user modifications and generates the final version of the document. This final version has been reviewed by the user and is processed as an official document.

[0263] Step 9:

[0264] The server electronically submits the final version of the documents to the relevant department at the company. This submission officially completes the transfer process.

[0265] (Example 1)

[0266] 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."

[0267] Traditional paperwork procedures for personnel transfers involving relocation were cumbersome and required significant time and effort from users. Furthermore, manual input errors and oversights were common, resulting in overall low efficiency. Additionally, users were unable to focus on their core tasks, leading to decreased overall work efficiency.

[0268] 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.

[0269] In this invention, the server includes means for receiving address information from a user, means for accessing an internal corporate information recording medium to acquire movement-related information, and means for using artificial intelligence processing technology to automatically generate documents using the acquired information. This enables users to efficiently complete procedures and dedicate more time to their work.

[0270] A "user" refers to an individual who operates an information processing device to input address information or verify documents.

[0271] "Address information" refers to detailed information about a new place of residence following a move.

[0272] A "server" refers to a computer device that stores, processes, and transmits data, playing a central role in the entire system.

[0273] An "information processing device" is an electronic device used by users to input and receive information.

[0274] "In-house information recording media" refers to devices or media used for managing employee information, including databases and information recording systems maintained by a company.

[0275] "Relocation-related information" refers to various types of information concerning changes in an employee's workplace that involve relocation.

[0276] "Artificial intelligence processing technology" refers to technologies used by computer programs to automatically generate and optimize systems.

[0277] "Documents" refer to official documents related to the transfer procedure that require user verification and company approval.

[0278] "Electronically submitting" refers to the act of sending documents as digital data to the relevant department within a company.

[0279] The following describes embodiments for carrying out the invention.

[0280] This invention is a system for streamlining the paperwork procedures for personnel transfers that involve relocation. The system primarily consists of a server, terminals, and users, and has functions to support the creation and submission of documents while communicating with each other.

[0281] First, the user uses a terminal, which is an information processing device, to enter new address information. The entered information is sent from the terminal to the server. The server accesses information storage media installed within the company and retrieves movement-related information associated with the user. This automatically collects information such as the employee's appointment date and department.

[0282] Next, the server uses the acquired information and leverages artificial intelligence processing technology to automatically generate the necessary documents. Specifically, it can use Python libraries to efficiently embed data into templates and optimize the documents. The generated documents are then sent electronically to the terminal for the user to review.

[0283] Users review document contents via their terminals and make corrections as needed. Once the review is complete, the documents are electronically submitted to the relevant departments within the company via the server. Electronic signatures are added during this process, if necessary.

[0284] As a specific example, when an employee transfers to a new workplace, the user can proceed with the operation according to a prompt sentence such as "Please enter your new address and proceed with the necessary procedures". By using this system, the user can shorten the time spent on document procedures and concentrate on important tasks.

[0285] The flow of the specific process in Example 1 will be described with reference to FIG. 11.

[0286] Step 1:

[0287] The user inputs new address information using a terminal which is an information processing device. The input is made in text form in the address field and is completed by clicking the "Send" button. As a result, the input data of the user is saved in the input buffer of the terminal. As a specific operation, there is an operation of inputting the necessary information in the form in text, and after confirmation, sending it.

[0288] Step 2:

[0289] The terminal sends the address information input by the user to the server. The data is encrypted through the HTTPS protocol and sent to the server through a secure communication path. The input is captured by the application on the terminal and output to the server as an encoded packet. As a specific operation, it includes a process in which the program on the terminal automatically performs data transmission.

[0290] Step 3:

[0291] The server accesses the information recording medium within the company based on the received address information and obtains the transfer-related information. Using a database management system, an SQL query is executed and output in a form where the transfer information (issuance date, department, workplace) of the corresponding user is extracted. Specifically, operations of searching for and extracting relevant information from the database are performed.

[0292] Step 4:

[0293] The server automatically generates documents using artificial intelligence processing technology based on acquired movement-related information. AI algorithms written in programming languages ​​such as Python embed data into templates, creating optimized documents. This allows the system to output necessary documents with minimal user input. Specifically, the core of the system is the automated generation process using AI models.

[0294] Step 5:

[0295] The server sends the generated document to the terminal and notifies the user. The user is notified of the document's arrival via email or the terminal's notification system. The output document is displayed on the terminal in a format that the user can review. Specifically, the system includes a function to automatically send a notification after document generation is complete.

[0296] Step 6:

[0297] The user reviews the document content via their device and makes corrections as needed. After editing the displayed document and completing the review, they press the "Review Complete" button. The corrected document is then output for the user to review. Specific operations include editing and reviewing the content according to the on-screen instructions.

[0298] Step 7:

[0299] The server electronically submits the user-verified documents as the final version to the relevant departments within the company. The output data is digitally signed and submitted in a format authenticated as an official document. Specifically, the documents are delivered to the designated departments via mail servers or document management systems.

[0300] (Application Example 1)

[0301] 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."

[0302] In modern times, procedures associated with personnel transfers involving relocation or address changes of residents require a lot of document preparation and interactions with multiple institutions, posing issues that are time-consuming and laborious. As a result, there are problems such as the complexity of procedures, occurrence of mistakes, and time loss. The purpose of the present invention is to streamline these procedures, reduce the burden on users, and complete the procedures quickly and accurately.

[0303] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0304] In this invention, the server includes means for receiving location information from a user, means for acquiring movement-related information from an information integration device within the organization based on the received location information, and means for automatically generating a document using the acquired movement-related information. As a result, the user can manage multiple procedures in a unified manner and perform them efficiently.

[0305] "Personnel transfer involving relocation" refers to a workplace transfer where an individual needs to move to a new place of residence for work-related reasons.

[0306] "Information processing system" refers to a combination of a series of related hardware and software for collecting, processing, storing, and transmitting data.

[0307] "Location information" refers to information indicating the address or residential area of an individual or a corporation, and is data that serves as the basis for various procedures and communications.

[0308] "Information integration device" refers to a system or device for storing and managing data, which enables easy acquisition and utilization of information.

[0309] "Document" refers to an aggregate of information usually composed of text and image data, created to achieve a specific purpose.

[0310] "Data communication" refers to communication technologies and methods for transmitting information from one point to another.

[0311] A "trained algorithm" is a set of computational procedures that have completed a data-driven learning process and have been optimized to efficiently perform a specific task.

[0312] As a form for carrying out the invention, this system is constructed as follows.

[0313] First, the user enters their location information using a smart device. This device has a dedicated application installed, providing the user with a simple interface. Because this application is developed using React Native, it can operate on a variety of devices.

[0314] The location information entered by the user is sent to the server. The backend utilizes either the Flask or Django framework using Python for data processing and management. The server runs on AWS or Google Cloud Platform, ensuring high availability and scalability. The server interacts with data aggregation devices to retrieve necessary travel-related information within the organization.

[0315] Next, the server automatically generates documents based on the acquired data. This generation process uses a trained algorithm to create the necessary documents while streamlining data processing. In particular, it simplifies procedures by communicating data with government agencies and service providers and centrally managing procedural information.

[0316] After generating the document, the server sends it to the user for review and correction. This process allows the user to manage multiple procedures simultaneously and complete tasks efficiently.

[0317] For example, if a user enters a new address, such as "1-1-1, Chuo-ku, Osaka City," the system will automatically handle the transfer of residence registration and renewal of utility contracts. In this process, the server uses APIs from various government agencies to send data and follow up on the related procedures.

[0318] An example of a prompt message to input into the generating AI model would be: "Design a system to automate administrative procedures and service updates associated with a new address. For example, centrally manage the procedures based on location information entered by the user."

[0319] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0320] Step 1:

[0321] The user uses their device to enter location information into the application. The entered information is sent to the server via the user interface in the format {"new_address": "1-1-1 Chuo-ku, Osaka City"}.

[0322] Step 2:

[0323] The server receives location information, accesses the information aggregation device, and retrieves relevant movement-related information. At this time, the server uses SQL queries to retrieve the necessary information from the database (e.g., relocation history and relevant existing contract information) and formats the data in the format {"related_data": {"move_history": ..., "current_contracts": ...}}.

[0324] Step 3:

[0325] The server applies a trained algorithm based on the acquired movement-related information to automatically generate the necessary documents. Specifically, it maps the relevant data to a template and generates {"generated_document": "<document_content> It generates output in the format "}". In this process, the server uses a Python location-based synthesis library (e.g., Jinja2).

[0326] Step 4:

[0327] The generated document is sent to the terminal for review by the user. The terminal displays the document, and the user reviews the content and provides input if corrections are needed.

[0328] Step 5:

[0329] Once the user reviews the document and determines that there are no problems with its content, the server sends the final version of the document to the relevant department within the organization or to an external service provider. The output data is sent with an electronic signature. The transmission is performed using a secure communication protocol (e.g., HTTPS).

[0330] 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.

[0331] This invention uses a system that combines an automated agent and an emotion engine to handle paperwork related to personnel transfers that involve relocation. The system is configured to improve the efficiency of procedures and reduce the burden on users by coordinating users, terminals, and servers with each other.

[0332] The user first enters their new address into the terminal. This is a crucial step in the user's preparation for relocation. The terminal sends the entered address to the server, which accesses the company's database based on the user ID. The server automatically retrieves relocation-related information from the database, such as the date of the relocation, previous work location, and department.

[0333] The server automatically generates the necessary documents based on this information. The AI ​​algorithm used optimizes the document templates and minimizes user input. The generated documents are sent to the terminal, where the user can review their contents. After reviewing, the user enters any necessary corrections or supplementary information and sends it back to the server.

[0334] Furthermore, this system incorporates an emotion engine that uses voice and facial expression data to analyze the user's stress level and emotional state. Based on the user's emotional state, the system adjusts the user interface to make operations more intuitive and reduce the burden of procedures. For example, if the system determines that the user is in a high-stress state, it provides feedback that simplifies the terminal's operation procedures.

[0335] For example, if an employee is ordered to transfer from Tokyo to Osaka, the user enters their new address in Osaka, and the server collects the necessary information. If the emotion engine detects the user's stress, the terminal simplifies the process and prompts quick document verification, reducing the burden on the employee. In this way, employees can prepare for their transfer more smoothly.

[0336] The following describes the processing flow.

[0337] Step 1:

[0338] The user enters the new address into the device. Here, the user registers the exact address of their new workplace on the device's input screen.

[0339] Step 2:

[0340] The terminal sends the entered address information and user ID to the server. At this stage, the information is encrypted and securely sent to the server.

[0341] Step 3:

[0342] The server accesses the company's internal database to retrieve user-related travel information. The server automatically retrieves data including the date of issuance, current work location, and departmental affiliation.

[0343] Step 4:

[0344] The server verifies the information it retrieves to check for any missing user IDs or available data. If there are any omissions, an error message is sent to the terminal prompting the user to make corrections.

[0345] Step 5:

[0346] The server uses AI algorithms to automatically generate the necessary documents based on the acquired information. Information is embedded in document templates, minimizing user effort.

[0347] Step 6:

[0348] The server generates a document and sends it to the terminal for the user to review. The user checks the document contents on the terminal screen and looks for any missing information or errors.

[0349] Step 7:

[0350] The user provides data to the emotion engine through their facial expressions and voice via their device. Based on this data, the emotion engine understands the user's emotional state.

[0351] Step 8:

[0352] The server receives feedback from the emotion engine and adjusts the interface according to the user's stress level. If the user is determined to be highly stressed, a guide that simplifies the operation procedure is displayed on the terminal.

[0353] Step 9:

[0354] If the user determines that there are no problems with the document content, they will finalize the document and send it to the server.

[0355] Step 10:

[0356] The server submits the finalized documents to the relevant department at the company. This submission officially completes the transfer process.

[0357] (Example 2)

[0358] 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".

[0359] Traditional paperwork procedures for personnel transfers involving relocation are burdensome for users and have a high probability of errors due to the complexity of the process. Furthermore, the lack of consideration for users' emotional states contributes to increased stress. There is a need to solve these problems and create an efficient and user-friendly system.

[0360] 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.

[0361] In this invention, the server includes a device for receiving address information, a data management unit for acquiring information based on the received address information, and an AI processing unit for creating electronic documents using the acquired information. This automates the document processing process, reduces the burden on the user, and allows for interface adjustment according to the user's emotional state.

[0362] "Address information" refers to data that includes detailed location information and contact details about a user's new residence when they move.

[0363] "Device" refers to a mechanical or electronic means for performing a specific function, and in this invention, it refers to a device used for receiving and processing address information.

[0364] A "data management unit" is a system component that organizes received data and retrieves additional data from external sources as needed.

[0365] An "AI processing unit" refers to computing resources used to perform complex processing and automation using artificial intelligence algorithms, and in this invention, it is used for the automatic generation of documents.

[0366] An "electronic document" is a document in digital format that is created, stored, and transmitted on a computer or electronic device.

[0367] "Emotional state" refers to the user's psychological and emotional condition, and in this invention, it means the user's stress level and emotional changes.

[0368] "Interface" refers to a screen or physical means for a user to interact directly with a system, and specifically refers to a user interface designed to facilitate user operation.

[0369] This invention provides a system for automating paperwork in personnel transfers involving relocation, and offers a method to reduce the burden on users based on address information. This system is effectively operated through the cooperation of users, terminals, and servers.

[0370] The user begins by entering their new address into the device. The device operates as a standard PC or smartphone application, providing a user-friendly interface for entering address information. The entered data is then transmitted to the server via the internet.

[0371] The server receives address information via a data management unit and uses that information to access the company's database. MySQL and Oracle are commonly used as database management systems (DBMS). The server quickly collects relevant information such as past work locations, departments, and appointment dates based on the user's ID.

[0372] The collected data is processed by an AI processing unit installed on the server. This unit utilizes a generative AI model to automatically generate appropriate documents from multiple templates. The generated documents are transferred to the terminal in PDF format or other formats, allowing the user to review their contents.

[0373] Furthermore, it features an emotion engine that analyzes the user's emotional state. The device uses the user's voice and facial expression data acquired through the camera and microphone to estimate stress and emotional changes using technologies such as TensorFlow. Based on these analysis results, the device adaptively adjusts the interface to reduce the user's operational burden.

[0374] As a concrete example, if a user is ordered to transfer from Tokyo to Osaka, the user enters their new Osaka address on the terminal. The server automatically retrieves the necessary information from the database, and an AI algorithm generates a "transfer notice." If the emotion engine detects the user's stress, the terminal automatically simplifies the operating procedure and adjusts to allow for quick document review.

[0375] Examples of prompt messages to use when inputting data into a generative AI model:

[0376] "Please use the transfer procedure system to generate the necessary documents for a new address resulting from a transfer from Tokyo to Osaka. Please consider ways to minimize the burden on users."

[0377] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0378] Step 1:

[0379] The user enters their new address into the terminal. The terminal receives the address data via an input device and stores it in its internal data structure. The entered new address information is used as the basis for future procedures.

[0380] Step 2:

[0381] The terminal sends the entered address information to the server. Specifically, the terminal generates an HTTP request over the internet and sends the address information to the server. This data is then prepared for further processing on the server.

[0382] Step 3:

[0383] The server receives address information and uses the data management unit to access the corporate database. The server uses the user ID in its queries to retrieve relevant information such as past work locations, departments, and appointment dates. The information retrieved from the database is used in the next processing step.

[0384] Step 4:

[0385] The server transfers the acquired information to an AI processing unit to generate documents. This unit utilizes a generation AI model to automatically generate the necessary documents based on templates. The specific output is a document sent to the terminal in PDF format.

[0386] Step 5:

[0387] The terminal displays the document received from the server and allows the user to review it. The user reviews the document content through the interface, identifying any errors or areas requiring additional information. The user's responses are used in the next step.

[0388] Step 6:

[0389] The user makes corrections to the document on the terminal if necessary. The terminal resends the corrected information to the server. The server receives the corrected information, makes any necessary updates, and generates the final document.

[0390] Step 7:

[0391] The emotion engine operates to analyze the user's emotional state. The device uses its camera and microphone to acquire user facial expression data and voice, and transmits this data to the server. The server performs emotion analysis using technologies such as TensorFlow, and generates decision-making data to optimize the interface based on the results.

[0392] Step 8:

[0393] The device adjusts the user interface based on the results of emotion analysis. For example, if it is determined that the user is in a high-stress state, the device simplifies the operation steps it presents and modifies the interface to allow for more intuitive operation.

[0394] (Application Example 2)

[0395] 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."

[0396] Traditionally, procedures for personnel transfers involving relocation and the introduction of new machinery have often been handled manually, resulting in a significant burden on users at each step of the paperwork and procedural process. Furthermore, since the emotional stress of users is not taken into consideration in these processes, there is a need for efficient methods that reduce this burden.

[0397] 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.

[0398] In this invention, the server includes means for receiving address information or device information from a user, means for obtaining relevant information from a database based on the received information, means for automatically generating documents using the obtained relevant information, and means for analyzing the user's emotional state using an emotion recognition engine and optimizing procedural steps. This enables automation of procedures, reduction of user burden, and optimization of operations according to the user's emotional state.

[0399] "Personnel transfers involving relocation" refers to personnel changes that require employees to move to a new address due to a change in their work location.

[0400] "Machine installation" refers to the process of installing and operating new equipment or systems on-site.

[0401] An "agent that automates procedures" is a program or system that automatically performs various procedural tasks that would otherwise be done manually.

[0402] A "user" is an individual or legal entity that operates or utilizes the system.

[0403] "Address information" refers to data that indicates a person's physical place of residence or place of work.

[0404] "Equipment information" refers to data that shows the specifications and settings of the machinery or system to be installed.

[0405] A "database" is an electronic collection of information used to systematically store and utilize information.

[0406] "Related information" refers to supplementary data necessary for a particular process or procedure.

[0407] "Means for generating documents" refers to a method or apparatus for automatically creating necessary documents from collected data.

[0408] An "emotion recognition engine" is a program or device that analyzes a user's facial expressions and voice data to determine their emotions.

[0409] "Optimizing procedural steps" means making the flow and methods of procedures more efficient based on the user's situation and circumstances.

[0410] To realize this invention, a system comprising the following configuration is used: The user enters new address or device information using a terminal, which then transmits this information to a server. Based on the user's input, the server retrieves relevant information from corporate and project databases. For example, in the case of relocation, information such as past workplaces and the date of the relocation notice is collected; in the case of machine installation, equipment specifications and deployment plans are collected.

[0411] The server automatically generates documents based on relevant information. This process utilizes a generation AI model to optimize document templates and minimize user input. The generated documents are sent to the user's terminal, where they can review the content. After review, the user makes any necessary corrections or additions and sends the final version to the server.

[0412] Furthermore, the server uses an emotion recognition engine to analyze the user's emotions from voice and facial expression data. This data analysis utilizes Google Cloud AI and other machine learning models. If the system determines that the user is experiencing high levels of stress, the terminal simplifies the procedure and provides a more intuitive interface.

[0413] As a concrete example, consider the process of introducing a new factory robot. When a user puts on smart glasses and says the voice command "Prepare for new robot introduction," the system starts the necessary procedures based on that prompt. An example of a prompt might be, "Generate templates for the necessary procedural documents when introducing a new factory robot, and simplify the introduction guide according to the operator's emotional state. If the operator is highly stressed, encourage dialogue." This allows the user to proceed with the procedure efficiently.

[0414] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0415] Step 1:

[0416] The user enters the new address or device information into the terminal. The entered information is stored as digital data on the terminal. The input format varies depending on the situation, such as address or specifications. The terminal transmits this input data to the server via the internet.

[0417] Step 2:

[0418] The server analyzes the address or device information received from the terminal and accesses the database to retrieve relevant information. The database query is constructed based on this input data, outputting past address history, machine specifications, and other relevant information. The server aggregates this data to form a dataset that serves as input for the next processing step.

[0419] Step 3:

[0420] The server automatically generates documents based on the acquired relevant information. In this process, a generation AI model is used to analyze the data and select the optimal document template. Designed to minimize user input, it automatically fills in the necessary fields. The resulting documents are provided in electronic format and sent to the terminal.

[0421] Step 4:

[0422] The user reviews the document generated on the terminal. If there are any errors or if additional information is needed, they directly correct or enter the information. The terminal then sends the corrected data back to the server.

[0423] Step 5:

[0424] The server uses an emotion recognition engine to analyze the user's voice and facial expression data. The input data used is captured by sensors on the smart device. Based on the analysis results, the server evaluates the user's stress level and adjusts the interface and procedural steps accordingly.

[0425] Step 6:

[0426] Based on the results of emotion recognition, the device automatically optimizes the procedure steps. If the system determines that the user is experiencing high stress, it provides feedback and adjusts the interface to simplify the operation steps. It utilizes prompts to guide the user clearly.

[0427] Step 7:

[0428] Once the user completes the final confirmation, the server compiles all the data and submits it to the relevant department. If necessary, it undergoes digital signing and additional verification processes before being output as an official submission document. Once all processes are complete, the user receives a completion notification via their device.

[0429] 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.

[0430] 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.

[0431] 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.

[0432] [Third Embodiment]

[0433] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0434] 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.

[0435] 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).

[0436] 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.

[0437] 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.

[0438] 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).

[0439] 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.

[0440] 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.

[0441] 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.

[0442] 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.

[0443] 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.

[0444] 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".

[0445] This invention is implemented through a system that automates paperwork procedures for personnel transfers involving relocation. The system mainly consists of agents that communicate with users, terminals, and servers to streamline the process.

[0446] The user first enters their new address into the terminal. This initiates the process. The terminal sends the entered information to the server. The server accesses the company's internal database and automatically retrieves the transfer information related to the user. This information includes the date of the transfer, current work location, and department information.

[0447] The server automatically generates the necessary documents based on the data obtained. Here, an artificial intelligence algorithm optimizes the document templates and minimizes user input. The generated documents are sent electronically to the terminal, and the user is notified. The user reviews the documents via the terminal and makes any necessary corrections if any are missing or require modification.

[0448] Once the user reviews the document content and determines there are no problems, the server formally submits the final version of the document to the relevant department within the company. The submission is done electronically, and an electronic signature is added as needed. This entire process significantly reduces the time users spend on paperwork. Throughout the process, users can focus on more important tasks.

[0449] For example, if an employee is instructed to transfer from Tokyo to Osaka, the user enters their new Osaka address into the terminal, the server collects updated information from Tokyo, automatically generates the necessary official documents, and submits them after the user's confirmation. This process minimizes direct interaction with the HR department, allowing employees to efficiently prepare for their transfer.

[0450] The following describes the processing flow.

[0451] Step 1:

[0452] The user enters their new address using a terminal. This input specifies the exact address of their new residence, which is required when relocating for work.

[0453] Step 2:

[0454] The terminal sends the user ID and the entered new address to the server. The terminal ensures data security by encrypting the information during communication.

[0455] Step 3:

[0456] Based on the user ID received by the server, it accesses the company's internal database. The server retrieves necessary travel-related information, such as the date of issuance, current work location, and department.

[0457] Step 4:

[0458] The server internally verifies the information it has acquired. If there are any omissions or inconsistencies, it generates an error message and sends it back to the terminal.

[0459] Step 5:

[0460] The server uses valid information to select a document template and automatically generates the necessary documents using an AI algorithm. During this process, the obtained data is efficiently embedded into the format.

[0461] Step 6:

[0462] The server sends the generated document to the terminal. The terminal then presents it to the user and prompts them to confirm its contents.

[0463] Step 7:

[0464] Users review the document content via their device and make corrections or additions as needed. This input is then sent back to the server and reflected in the document.

[0465] Step 8:

[0466] The server receives user modifications and generates the final version of the document. This final version has been reviewed by the user and is processed as an official document.

[0467] Step 9:

[0468] The server electronically submits the final version of the documents to the relevant department at the company. This submission officially completes the transfer process.

[0469] (Example 1)

[0470] 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."

[0471] Traditional paperwork procedures for personnel transfers involving relocation were cumbersome and required significant time and effort from users. Furthermore, manual input errors and oversights were common, resulting in overall low efficiency. Additionally, users were unable to focus on their core tasks, leading to decreased overall work efficiency.

[0472] 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.

[0473] In this invention, the server includes means for receiving address information from a user, means for accessing an internal corporate information recording medium to acquire movement-related information, and means for using artificial intelligence processing technology to automatically generate documents using the acquired information. This enables users to efficiently complete procedures and dedicate more time to their work.

[0474] A "user" refers to an individual who operates an information processing device to input address information or verify documents.

[0475] "Address information" refers to detailed information about a new place of residence following a move.

[0476] A "server" refers to a computer device that stores, processes, and transmits data, playing a central role in the entire system.

[0477] An "information processing device" is an electronic device used by users to input and receive information.

[0478] "In-house information recording media" refers to devices or media used for managing employee information, including databases and information recording systems maintained by a company.

[0479] "Relocation-related information" refers to various types of information concerning changes in an employee's workplace that involve relocation.

[0480] "Artificial intelligence processing technology" refers to technologies used by computer programs to automatically generate and optimize systems.

[0481] "Documents" refer to official documents related to the transfer procedure that require user verification and company approval.

[0482] "Electronically submitting" refers to the act of sending documents as digital data to the relevant department within a company.

[0483] The following describes embodiments for carrying out the invention.

[0484] This invention is a system for streamlining the paperwork procedures for personnel transfers that involve relocation. The system primarily consists of a server, terminals, and users, and has functions to support the creation and submission of documents while communicating with each other.

[0485] First, the user uses a terminal, which is an information processing device, to enter new address information. The entered information is sent from the terminal to the server. The server accesses information storage media installed within the company and retrieves movement-related information associated with the user. This automatically collects information such as the employee's appointment date and department.

[0486] Next, the server uses the acquired information and leverages artificial intelligence processing technology to automatically generate the necessary documents. Specifically, it can use Python libraries to efficiently embed data into templates and optimize the documents. The generated documents are then sent electronically to the terminal for the user to review.

[0487] Users review document contents via their terminals and make corrections as needed. Once the review is complete, the documents are electronically submitted to the relevant departments within the company via the server. Electronic signatures are added during this process, if necessary.

[0488] For example, when an employee is transferred to a new work location, the user can follow prompts such as, "Please enter your new address and proceed with the necessary procedures." By using this system, users can reduce the time spent on paperwork and focus on more important tasks.

[0489] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0490] Step 1:

[0491] The user enters new address information using a terminal, which is an information processing device. The input is done in text format in the address field, and the process is completed by clicking the "Submit" button. This saves the user's input data to the terminal's input buffer. Specifically, the process involves entering the required information into a form as text, confirming it, and then submitting it.

[0492] Step 2:

[0493] The terminal sends the address information entered by the user to the server. The data is encrypted via the HTTPS protocol and sent to the server over a secure communication path. The input is captured by the terminal's application and output to the server as encoded packets. Specifically, the terminal's program automatically handles the data transmission process.

[0494] Step 3:

[0495] The server accesses the company's internal information storage media based on the received address information and retrieves transfer-related information. Using the database management system, an SQL query is executed, and the transfer information of the relevant user (issuance date, department, and work location) is extracted and output. Specifically, the system searches for and extracts relevant information from the database.

[0496] Step 4:

[0497] The server automatically generates documents using artificial intelligence processing technology based on acquired movement-related information. AI algorithms written in programming languages ​​such as Python embed data into templates, creating optimized documents. This allows the system to output necessary documents with minimal user input. Specifically, the core of the system is the automated generation process using AI models.

[0498] Step 5:

[0499] The server sends the generated document to the terminal and notifies the user. The user is notified of the document's arrival via email or the terminal's notification system. The output document is displayed on the terminal in a format that the user can review. Specifically, the system includes a function to automatically send a notification after document generation is complete.

[0500] Step 6:

[0501] The user reviews the document content via their device and makes corrections as needed. After editing the displayed document and completing the review, they press the "Review Complete" button. The corrected document is then output for the user to review. Specific operations include editing and reviewing the content according to the on-screen instructions.

[0502] Step 7:

[0503] The server electronically submits the user-verified documents as the final version to the relevant departments within the company. The output data is digitally signed and submitted in a format authenticated as an official document. Specifically, the documents are delivered to the designated departments via mail servers or document management systems.

[0504] (Application Example 1)

[0505] 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."

[0506] In modern times, procedures related to personnel transfers involving relocation or changes of address for residents are time-consuming and cumbersome, requiring the preparation of numerous documents and communication with multiple institutions. This leads to procedural complexity, errors, and wasted time. The present invention aims to streamline these procedures, reduce the burden on users, and enable them to be completed quickly and accurately.

[0507] 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.

[0508] In this invention, the server includes means for receiving location information from a user, means for obtaining movement-related information from an information aggregation device within the organization based on the received location information, and means for automatically generating documents using the obtained movement-related information. This enables the user to centrally manage and efficiently execute multiple procedures.

[0509] A "personnel transfer involving relocation" refers to a job transfer that requires an individual to move to a new place of residence for work-related reasons.

[0510] An "information processing system" is a combination of related hardware and software for collecting, processing, storing, and transmitting data.

[0511] "Location information" refers to information indicating the address or residential area of ​​an individual or legal entity, and is fundamental data for various procedures and communications.

[0512] An "information storage device" is a system or device for storing and managing data, enabling the easy acquisition and use of information.

[0513] A "document" is a collection of information, usually consisting of text and image data, created to achieve a specific purpose.

[0514] "Data communication" refers to communication technologies and methods for transmitting information from one point to another.

[0515] A "trained algorithm" is a set of computational procedures that have completed a data-driven learning process and have been optimized to efficiently perform a specific task.

[0516] As a form for carrying out the invention, this system is constructed as follows.

[0517] First, the user enters their location information using a smart device. This device has a dedicated application installed, providing the user with a simple interface. Because this application is developed using React Native, it can operate on a variety of devices.

[0518] The location information entered by the user is sent to the server. The backend utilizes either the Flask or Django framework using Python for data processing and management. The server runs on AWS or Google Cloud Platform, ensuring high availability and scalability. The server interacts with data aggregation devices to retrieve necessary travel-related information within the organization.

[0519] Next, the server automatically generates documents based on the acquired data. This generation process uses a trained algorithm to create the necessary documents while streamlining data processing. In particular, it simplifies procedures by communicating data with government agencies and service providers and centrally managing procedural information.

[0520] After generating the document, the server sends it to the user for review and correction. This process allows the user to manage multiple procedures simultaneously and complete tasks efficiently.

[0521] For example, if a user enters a new address, such as "1-1-1, Chuo-ku, Osaka City," the system will automatically handle the transfer of residence registration and renewal of utility contracts. In this process, the server uses APIs from various government agencies to send data and follow up on the related procedures.

[0522] An example of a prompt message to input into the generating AI model would be: "Design a system to automate administrative procedures and service updates associated with a new address. For example, centrally manage the procedures based on location information entered by the user."

[0523] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0524] Step 1:

[0525] The user uses their device to enter location information into the application. The entered information is sent to the server via the user interface in the format {"new_address": "1-1-1 Chuo-ku, Osaka City"}.

[0526] Step 2:

[0527] The server receives location information, accesses the information aggregation device, and retrieves relevant movement-related information. At this time, the server uses SQL queries to retrieve the necessary information from the database (e.g., relocation history and relevant existing contract information) and formats the data in the format {"related_data": {"move_history": ..., "current_contracts": ...}}.

[0528] Step 3:

[0529] The server applies a trained algorithm based on the acquired movement-related information to automatically generate the necessary documents. Specifically, it maps the relevant data to a template and generates {"generated_document": "<document_content> It generates output in the format "}". In this process, the server uses a Python location-based synthesis library (e.g., Jinja2).

[0530] Step 4:

[0531] The generated document is sent to the terminal for review by the user. The terminal displays the document, and the user reviews the content and provides input if corrections are needed.

[0532] Step 5:

[0533] Once the user reviews the document and determines that there are no problems with its content, the server sends the final version of the document to the relevant department within the organization or to an external service provider. The output data is sent with an electronic signature. The transmission is performed using a secure communication protocol (e.g., HTTPS).

[0534] 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.

[0535] This invention uses a system that combines an automated agent and an emotion engine to handle paperwork related to personnel transfers that involve relocation. The system is configured to improve the efficiency of procedures and reduce the burden on users by coordinating users, terminals, and servers with each other.

[0536] The user first enters their new address into the terminal. This is a crucial step in the user's preparation for relocation. The terminal sends the entered address to the server, which accesses the company's database based on the user ID. The server automatically retrieves relocation-related information from the database, such as the date of the relocation, previous work location, and department.

[0537] The server automatically generates the necessary documents based on this information. The AI ​​algorithm used optimizes the document templates and minimizes user input. The generated documents are sent to the terminal, where the user can review their contents. After reviewing, the user enters any necessary corrections or supplementary information and sends it back to the server.

[0538] Furthermore, this system incorporates an emotion engine that uses voice and facial expression data to analyze the user's stress level and emotional state. Based on the user's emotional state, the system adjusts the user interface to make operations more intuitive and reduce the burden of procedures. For example, if the system determines that the user is in a high-stress state, it provides feedback that simplifies the terminal's operation procedures.

[0539] For example, if an employee is ordered to transfer from Tokyo to Osaka, the user enters their new address in Osaka, and the server collects the necessary information. If the emotion engine detects the user's stress, the terminal simplifies the process and prompts quick document verification, reducing the burden on the employee. In this way, employees can prepare for their transfer more smoothly.

[0540] The following describes the processing flow.

[0541] Step 1:

[0542] The user enters the new address into the device. Here, the user registers the exact address of their new workplace on the device's input screen.

[0543] Step 2:

[0544] The terminal sends the entered address information and user ID to the server. At this stage, the information is encrypted and securely sent to the server.

[0545] Step 3:

[0546] The server accesses the company's internal database to retrieve user-related travel information. The server automatically retrieves data including the date of issuance, current work location, and departmental affiliation.

[0547] Step 4:

[0548] The server verifies the information it retrieves to check for any missing user IDs or available data. If there are any omissions, an error message is sent to the terminal prompting the user to make corrections.

[0549] Step 5:

[0550] The server uses AI algorithms to automatically generate the necessary documents based on the acquired information. Information is embedded in document templates, minimizing user effort.

[0551] Step 6:

[0552] The server generates a document and sends it to the terminal for the user to review. The user checks the document contents on the terminal screen and looks for any missing information or errors.

[0553] Step 7:

[0554] The user provides data to the emotion engine through their facial expressions and voice via their device. Based on this data, the emotion engine understands the user's emotional state.

[0555] Step 8:

[0556] The server receives feedback from the emotion engine and adjusts the interface according to the user's stress level. If the user is determined to be highly stressed, a guide that simplifies the operation procedure is displayed on the terminal.

[0557] Step 9:

[0558] If the user determines that there are no problems with the document content, they will finalize the document and send it to the server.

[0559] Step 10:

[0560] The server submits the finalized documents to the relevant department at the company. This submission officially completes the transfer process.

[0561] (Example 2)

[0562] 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."

[0563] Traditional paperwork procedures for personnel transfers involving relocation are burdensome for users and have a high probability of errors due to the complexity of the process. Furthermore, the lack of consideration for users' emotional states contributes to increased stress. There is a need to solve these problems and create an efficient and user-friendly system.

[0564] 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.

[0565] In this invention, the server includes a device for receiving address information, a data management unit for acquiring information based on the received address information, and an AI processing unit for creating electronic documents using the acquired information. This automates the document processing process, reduces the burden on the user, and allows for interface adjustment according to the user's emotional state.

[0566] "Address information" refers to data that includes detailed location information and contact details about a user's new residence when they move.

[0567] "Device" refers to a mechanical or electronic means for performing a specific function, and in this invention, it refers to a device used for receiving and processing address information.

[0568] A "data management unit" is a system component that organizes received data and retrieves additional data from external sources as needed.

[0569] An "AI processing unit" refers to computing resources used to perform complex processing and automation using artificial intelligence algorithms, and in this invention, it is used for the automatic generation of documents.

[0570] An "electronic document" is a document in digital format that is created, stored, and transmitted on a computer or electronic device.

[0571] "Emotional state" refers to the user's psychological and emotional condition, and in this invention, it means the user's stress level and emotional changes.

[0572] "Interface" refers to a screen or physical means for a user to interact directly with a system, and specifically refers to a user interface designed to facilitate user operation.

[0573] This invention provides a system for automating paperwork in personnel transfers involving relocation, and offers a method to reduce the burden on users based on address information. This system is effectively operated through the cooperation of users, terminals, and servers.

[0574] The user begins by entering their new address into the device. The device operates as a standard PC or smartphone application, providing a user-friendly interface for entering address information. The entered data is then transmitted to the server via the internet.

[0575] The server receives address information via a data management unit and uses that information to access the company's database. MySQL and Oracle are commonly used as database management systems (DBMS). The server quickly collects relevant information such as past work locations, departments, and appointment dates based on the user's ID.

[0576] The collected data is processed by an AI processing unit installed on the server. This unit utilizes a generative AI model to automatically generate appropriate documents from multiple templates. The generated documents are transferred to the terminal in PDF format or other formats, allowing the user to review their contents.

[0577] Furthermore, it features an emotion engine that analyzes the user's emotional state. The device uses the user's voice and facial expression data acquired through the camera and microphone to estimate stress and emotional changes using technologies such as TensorFlow. Based on these analysis results, the device adaptively adjusts the interface to reduce the user's operational burden.

[0578] As a concrete example, if a user is ordered to transfer from Tokyo to Osaka, the user enters their new Osaka address on the terminal. The server automatically retrieves the necessary information from the database, and an AI algorithm generates a "transfer notice." If the emotion engine detects the user's stress, the terminal automatically simplifies the operating procedure and adjusts to allow for quick document review.

[0579] Examples of prompt messages to use when inputting data into a generative AI model:

[0580] "Please use the transfer procedure system to generate the necessary documents for a new address resulting from a transfer from Tokyo to Osaka. Please consider ways to minimize the burden on users."

[0581] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0582] Step 1:

[0583] The user enters their new address into the terminal. The terminal receives the address data via an input device and stores it in its internal data structure. The entered new address information is used as the basis for future procedures.

[0584] Step 2:

[0585] The terminal sends the entered address information to the server. Specifically, the terminal generates an HTTP request over the internet and sends the address information to the server. This data is then prepared for further processing on the server.

[0586] Step 3:

[0587] The server receives address information and uses the data management unit to access the corporate database. The server uses the user ID in its queries to retrieve relevant information such as past work locations, departments, and appointment dates. The information retrieved from the database is used in the next processing step.

[0588] Step 4:

[0589] The server transfers the acquired information to an AI processing unit to generate documents. This unit utilizes a generation AI model to automatically generate the necessary documents based on templates. The specific output is a document sent to the terminal in PDF format.

[0590] Step 5:

[0591] The terminal displays the document received from the server and allows the user to review it. The user reviews the document content through the interface, identifying any errors or areas requiring additional information. The user's responses are used in the next step.

[0592] Step 6:

[0593] The user makes corrections to the document on the terminal if necessary. The terminal resends the corrected information to the server. The server receives the corrected information, makes any necessary updates, and generates the final document.

[0594] Step 7:

[0595] The emotion engine operates to analyze the user's emotional state. The device uses its camera and microphone to acquire user facial expression data and voice, and transmits this data to the server. The server performs emotion analysis using technologies such as TensorFlow, and generates decision-making data to optimize the interface based on the results.

[0596] Step 8:

[0597] The device adjusts the user interface based on the results of emotion analysis. For example, if it is determined that the user is in a high-stress state, the device simplifies the operation steps it presents and modifies the interface to allow for more intuitive operation.

[0598] (Application Example 2)

[0599] 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."

[0600] Traditionally, procedures for personnel transfers involving relocation and the introduction of new machinery have often been handled manually, resulting in a significant burden on users at each step of the paperwork and procedural process. Furthermore, since the emotional stress of users is not taken into consideration in these processes, there is a need for efficient methods that reduce this burden.

[0601] 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.

[0602] In this invention, the server includes means for receiving address information or device information from a user, means for obtaining relevant information from a database based on the received information, means for automatically generating documents using the obtained relevant information, and means for analyzing the user's emotional state using an emotion recognition engine and optimizing procedural steps. This enables automation of procedures, reduction of user burden, and optimization of operations according to the user's emotional state.

[0603] "Personnel transfers involving relocation" refers to personnel changes that require employees to move to a new address due to a change in their work location.

[0604] "Machine installation" refers to the process of installing and operating new equipment or systems on-site.

[0605] An "agent that automates procedures" is a program or system that automatically performs various procedural tasks that would otherwise be done manually.

[0606] A "user" is an individual or legal entity that operates or utilizes the system.

[0607] "Address information" refers to data that indicates a person's physical place of residence or place of work.

[0608] "Equipment information" refers to data that shows the specifications and settings of the machinery or system to be installed.

[0609] A "database" is an electronic collection of information used to systematically store and utilize information.

[0610] "Related information" refers to supplementary data necessary for a particular process or procedure.

[0611] "Means for generating documents" refers to a method or apparatus for automatically creating necessary documents from collected data.

[0612] An "emotion recognition engine" is a program or device that analyzes a user's facial expressions and voice data to determine their emotions.

[0613] "Optimizing procedural steps" means making the flow and methods of procedures more efficient based on the user's situation and circumstances.

[0614] To realize this invention, a system comprising the following configuration is used: The user enters new address or device information using a terminal, which then transmits this information to a server. Based on the user's input, the server retrieves relevant information from corporate and project databases. For example, in the case of relocation, information such as past workplaces and the date of the relocation notice is collected; in the case of machine installation, equipment specifications and deployment plans are collected.

[0615] The server automatically generates documents based on relevant information. This process utilizes a generation AI model to optimize document templates and minimize user input. The generated documents are sent to the user's terminal, where they can review the content. After review, the user makes any necessary corrections or additions and sends the final version to the server.

[0616] Furthermore, the server uses an emotion recognition engine to analyze the user's emotions from voice and facial expression data. This data analysis utilizes Google Cloud AI and other machine learning models. If the system determines that the user is experiencing high levels of stress, the terminal simplifies the procedure and provides a more intuitive interface.

[0617] As a concrete example, consider the process of introducing a new factory robot. When a user puts on smart glasses and says the voice command "Prepare for new robot introduction," the system starts the necessary procedures based on that prompt. An example of a prompt might be, "Generate templates for the necessary procedural documents when introducing a new factory robot, and simplify the introduction guide according to the operator's emotional state. If the operator is highly stressed, encourage dialogue." This allows the user to proceed with the procedure efficiently.

[0618] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0619] Step 1:

[0620] The user enters the new address or device information into the terminal. The entered information is stored as digital data on the terminal. The input format varies depending on the situation, such as address or specifications. The terminal transmits this input data to the server via the internet.

[0621] Step 2:

[0622] The server analyzes the address or device information received from the terminal and accesses the database to retrieve relevant information. The database query is constructed based on this input data, outputting past address history, machine specifications, and other relevant information. The server aggregates this data to form a dataset that serves as input for the next processing step.

[0623] Step 3:

[0624] The server automatically generates documents based on the acquired relevant information. In this process, a generation AI model is used to analyze the data and select the optimal document template. Designed to minimize user input, it automatically fills in the necessary fields. The resulting documents are provided in electronic format and sent to the terminal.

[0625] Step 4:

[0626] The user reviews the document generated on the terminal. If there are any errors or if additional information is needed, they directly correct or enter the information. The terminal then sends the corrected data back to the server.

[0627] Step 5:

[0628] The server uses an emotion recognition engine to analyze the user's voice and facial expression data. The input data used is captured by sensors on the smart device. Based on the analysis results, the server evaluates the user's stress level and adjusts the interface and procedural steps accordingly.

[0629] Step 6:

[0630] Based on the results of emotion recognition, the device automatically optimizes the procedure steps. If the system determines that the user is experiencing high stress, it provides feedback and adjusts the interface to simplify the operation steps. It utilizes prompts to guide the user clearly.

[0631] Step 7:

[0632] Once the user completes the final confirmation, the server compiles all the data and submits it to the relevant department. If necessary, it undergoes digital signing and additional verification processes before being output as an official submission document. Once all processes are complete, the user receives a completion notification via their device.

[0633] 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.

[0634] 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.

[0635] 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.

[0636] [Fourth Embodiment]

[0637] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0638] 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.

[0639] 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).

[0640] 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.

[0641] 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.

[0642] 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).

[0643] 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.

[0644] 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.

[0645] 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.

[0646] 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.

[0647] 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.

[0648] 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.

[0649] 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".

[0650] This invention is implemented through a system that automates paperwork procedures for personnel transfers involving relocation. The system mainly consists of agents that communicate with users, terminals, and servers to streamline the process.

[0651] The user first enters their new address into the terminal. This initiates the process. The terminal sends the entered information to the server. The server accesses the company's internal database and automatically retrieves the transfer information related to the user. This information includes the date of the transfer, current work location, and department information.

[0652] The server automatically generates the necessary documents based on the data obtained. Here, an artificial intelligence algorithm optimizes the document templates and minimizes user input. The generated documents are sent electronically to the terminal, and the user is notified. The user reviews the documents via the terminal and makes any necessary corrections if any are missing or require modification.

[0653] Once the user reviews the document content and determines there are no problems, the server formally submits the final version of the document to the relevant department within the company. The submission is done electronically, and an electronic signature is added as needed. This entire process significantly reduces the time users spend on paperwork. Throughout the process, users can focus on more important tasks.

[0654] For example, if an employee is instructed to transfer from Tokyo to Osaka, the user enters their new Osaka address into the terminal, the server collects updated information from Tokyo, automatically generates the necessary official documents, and submits them after the user's confirmation. This process minimizes direct interaction with the HR department, allowing employees to efficiently prepare for their transfer.

[0655] The following describes the processing flow.

[0656] Step 1:

[0657] The user enters their new address using a terminal. This input specifies the exact address of their new residence, which is required when relocating for work.

[0658] Step 2:

[0659] The terminal sends the user ID and the entered new address to the server. The terminal ensures data security by encrypting the information during communication.

[0660] Step 3:

[0661] Based on the user ID received by the server, it accesses the company's internal database. The server retrieves necessary travel-related information, such as the date of issuance, current work location, and department.

[0662] Step 4:

[0663] The server internally verifies the information it has acquired. If there are any omissions or inconsistencies, it generates an error message and sends it back to the terminal.

[0664] Step 5:

[0665] The server uses valid information to select a document template and automatically generates the necessary documents using an AI algorithm. During this process, the obtained data is efficiently embedded into the format.

[0666] Step 6:

[0667] The server sends the generated document to the terminal. The terminal then presents it to the user and prompts them to confirm its contents.

[0668] Step 7:

[0669] Users review the document content via their device and make corrections or additions as needed. This input is then sent back to the server and reflected in the document.

[0670] Step 8:

[0671] The server receives user modifications and generates the final version of the document. This final version has been reviewed by the user and is processed as an official document.

[0672] Step 9:

[0673] The server electronically submits the final version of the documents to the relevant department at the company. This submission officially completes the transfer process.

[0674] (Example 1)

[0675] 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".

[0676] Traditional paperwork procedures for personnel transfers involving relocation were cumbersome and required significant time and effort from users. Furthermore, manual input errors and oversights were common, resulting in overall low efficiency. Additionally, users were unable to focus on their core tasks, leading to decreased overall work efficiency.

[0677] 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.

[0678] In this invention, the server includes means for receiving address information from a user, means for accessing an internal corporate information recording medium to acquire movement-related information, and means for using artificial intelligence processing technology to automatically generate documents using the acquired information. This enables users to efficiently complete procedures and dedicate more time to their work.

[0679] A "user" refers to an individual who operates an information processing device to input address information or verify documents.

[0680] "Address information" refers to detailed information about a new place of residence following a move.

[0681] A "server" refers to a computer device that stores, processes, and transmits data, playing a central role in the entire system.

[0682] An "information processing device" is an electronic device used by users to input and receive information.

[0683] "In-house information recording media" refers to devices or media used for managing employee information, including databases and information recording systems maintained by a company.

[0684] "Relocation-related information" refers to various types of information concerning changes in an employee's workplace that involve relocation.

[0685] "Artificial intelligence processing technology" refers to technologies used by computer programs to automatically generate and optimize systems.

[0686] "Documents" refer to official documents related to the transfer procedure that require user verification and company approval.

[0687] "Electronically submitting" refers to the act of sending documents as digital data to the relevant department within a company.

[0688] The following describes embodiments for carrying out the invention.

[0689] This invention is a system for streamlining the paperwork procedures for personnel transfers that involve relocation. The system primarily consists of a server, terminals, and users, and has functions to support the creation and submission of documents while communicating with each other.

[0690] First, the user uses a terminal, which is an information processing device, to enter new address information. The entered information is sent from the terminal to the server. The server accesses information storage media installed within the company and retrieves movement-related information associated with the user. This automatically collects information such as the employee's appointment date and department.

[0691] Next, the server uses the acquired information and leverages artificial intelligence processing technology to automatically generate the necessary documents. Specifically, it can use Python libraries to efficiently embed data into templates and optimize the documents. The generated documents are then sent electronically to the terminal for the user to review.

[0692] Users review document contents via their terminals and make corrections as needed. Once the review is complete, the documents are electronically submitted to the relevant departments within the company via the server. Electronic signatures are added during this process, if necessary.

[0693] For example, when an employee is transferred to a new work location, the user can follow prompts such as, "Please enter your new address and proceed with the necessary procedures." By using this system, users can reduce the time spent on paperwork and focus on more important tasks.

[0694] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0695] Step 1:

[0696] The user enters new address information using a terminal, which is an information processing device. The input is done in text format in the address field, and the process is completed by clicking the "Submit" button. This saves the user's input data to the terminal's input buffer. Specifically, the process involves entering the required information into a form as text, confirming it, and then submitting it.

[0697] Step 2:

[0698] The terminal sends the address information entered by the user to the server. The data is encrypted via the HTTPS protocol and sent to the server over a secure communication path. The input is captured by the terminal's application and output to the server as encoded packets. Specifically, the terminal's program automatically handles the data transmission process.

[0699] Step 3:

[0700] The server accesses the company's internal information storage media based on the received address information and retrieves transfer-related information. Using the database management system, an SQL query is executed, and the transfer information of the relevant user (issuance date, department, and work location) is extracted and output. Specifically, the system searches for and extracts relevant information from the database.

[0701] Step 4:

[0702] The server automatically generates documents using artificial intelligence processing technology based on acquired movement-related information. AI algorithms written in programming languages ​​such as Python embed data into templates, creating optimized documents. This allows the system to output necessary documents with minimal user input. Specifically, the core of the system is the automated generation process using AI models.

[0703] Step 5:

[0704] The server sends the generated document to the terminal and notifies the user. The user is notified of the document's arrival via email or the terminal's notification system. The output document is displayed on the terminal in a format that the user can review. Specifically, the system includes a function to automatically send a notification after document generation is complete.

[0705] Step 6:

[0706] The user reviews the document content via their device and makes corrections as needed. After editing the displayed document and completing the review, they press the "Review Complete" button. The corrected document is then output for the user to review. Specific operations include editing and reviewing the content according to the on-screen instructions.

[0707] Step 7:

[0708] The server electronically submits the user-verified documents as the final version to the relevant departments within the company. The output data is digitally signed and submitted in a format authenticated as an official document. Specifically, the documents are delivered to the designated departments via mail servers or document management systems.

[0709] (Application Example 1)

[0710] 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".

[0711] In modern times, procedures related to personnel transfers involving relocation or changes of address for residents are time-consuming and cumbersome, requiring the preparation of numerous documents and communication with multiple institutions. This leads to procedural complexity, errors, and wasted time. The present invention aims to streamline these procedures, reduce the burden on users, and enable them to be completed quickly and accurately.

[0712] 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.

[0713] In this invention, the server includes means for receiving location information from a user, means for obtaining movement-related information from an information aggregation device within the organization based on the received location information, and means for automatically generating documents using the obtained movement-related information. This enables the user to centrally manage and efficiently execute multiple procedures.

[0714] A "personnel transfer involving relocation" refers to a job transfer that requires an individual to move to a new place of residence for work-related reasons.

[0715] An "information processing system" is a combination of related hardware and software for collecting, processing, storing, and transmitting data.

[0716] "Location information" refers to information indicating the address or residential area of ​​an individual or legal entity, and is fundamental data for various procedures and communications.

[0717] An "information storage device" is a system or device for storing and managing data, enabling the easy acquisition and use of information.

[0718] A "document" is a collection of information, usually consisting of text and image data, created to achieve a specific purpose.

[0719] "Data communication" refers to communication technologies and methods for transmitting information from one point to another.

[0720] A "trained algorithm" is a set of computational procedures that have completed a data-driven learning process and have been optimized to efficiently perform a specific task.

[0721] As a form for carrying out the invention, this system is constructed as follows.

[0722] First, the user enters their location information using a smart device. This device has a dedicated application installed, providing the user with a simple interface. Because this application is developed using React Native, it can operate on a variety of devices.

[0723] The location information entered by the user is sent to the server. The backend utilizes either the Flask or Django framework using Python for data processing and management. The server runs on AWS or Google Cloud Platform, ensuring high availability and scalability. The server interacts with data aggregation devices to retrieve necessary travel-related information within the organization.

[0724] Next, the server automatically generates documents based on the acquired data. This generation process uses a trained algorithm to create the necessary documents while streamlining data processing. In particular, it simplifies procedures by communicating data with government agencies and service providers and centrally managing procedural information.

[0725] After generating the document, the server sends it to the user for review and correction. This process allows the user to manage multiple procedures simultaneously and complete tasks efficiently.

[0726] For example, if a user enters a new address, such as "1-1-1, Chuo-ku, Osaka City," the system will automatically handle the transfer of residence registration and renewal of utility contracts. In this process, the server uses APIs from various government agencies to send data and follow up on the related procedures.

[0727] An example of a prompt message to input into the generating AI model would be: "Design a system to automate administrative procedures and service updates associated with a new address. For example, centrally manage the procedures based on location information entered by the user."

[0728] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0729] Step 1:

[0730] The user uses their device to enter location information into the application. The entered information is sent to the server via the user interface in the format {"new_address": "1-1-1 Chuo-ku, Osaka City"}.

[0731] Step 2:

[0732] The server receives location information, accesses the information aggregation device, and retrieves relevant movement-related information. At this time, the server uses SQL queries to retrieve the necessary information from the database (e.g., relocation history and relevant existing contract information) and formats the data in the format {"related_data": {"move_history": ..., "current_contracts": ...}}.

[0733] Step 3:

[0734] The server applies a trained algorithm based on the acquired movement-related information to automatically generate the necessary documents. Specifically, it maps the relevant data to a template and generates {"generated_document": "<document_content> It generates output in the format "}". In this process, the server uses a Python location-based synthesis library (e.g., Jinja2).

[0735] Step 4:

[0736] The generated document is sent to the terminal for review by the user. The terminal displays the document, and the user reviews the content and provides input if corrections are needed.

[0737] Step 5:

[0738] Once the user reviews the document and determines that there are no problems with its content, the server sends the final version of the document to the relevant department within the organization or to an external service provider. The output data is sent with an electronic signature. The transmission is performed using a secure communication protocol (e.g., HTTPS).

[0739] 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.

[0740] This invention uses a system that combines an automated agent and an emotion engine to handle paperwork related to personnel transfers that involve relocation. The system is configured to improve the efficiency of procedures and reduce the burden on users by coordinating users, terminals, and servers with each other.

[0741] The user first enters their new address into the terminal. This is a crucial step in the user's preparation for relocation. The terminal sends the entered address to the server, which accesses the company's database based on the user ID. The server automatically retrieves relocation-related information from the database, such as the date of the relocation, previous work location, and department.

[0742] The server automatically generates the necessary documents based on this information. The AI ​​algorithm used optimizes the document templates and minimizes user input. The generated documents are sent to the terminal, where the user can review their contents. After reviewing, the user enters any necessary corrections or supplementary information and sends it back to the server.

[0743] Furthermore, this system incorporates an emotion engine that uses voice and facial expression data to analyze the user's stress level and emotional state. Based on the user's emotional state, the system adjusts the user interface to make operations more intuitive and reduce the burden of procedures. For example, if the system determines that the user is in a high-stress state, it provides feedback that simplifies the terminal's operation procedures.

[0744] For example, if an employee is ordered to transfer from Tokyo to Osaka, the user enters their new address in Osaka, and the server collects the necessary information. If the emotion engine detects the user's stress, the terminal simplifies the process and prompts quick document verification, reducing the burden on the employee. In this way, employees can prepare for their transfer more smoothly.

[0745] The following describes the processing flow.

[0746] Step 1:

[0747] The user enters the new address into the device. Here, the user registers the exact address of their new workplace on the device's input screen.

[0748] Step 2:

[0749] The terminal sends the entered address information and user ID to the server. At this stage, the information is encrypted and securely sent to the server.

[0750] Step 3:

[0751] The server accesses the company's internal database to retrieve user-related travel information. The server automatically retrieves data including the date of issuance, current work location, and departmental affiliation.

[0752] Step 4:

[0753] The server verifies the information it retrieves to check for any missing user IDs or available data. If there are any omissions, an error message is sent to the terminal prompting the user to make corrections.

[0754] Step 5:

[0755] The server uses AI algorithms to automatically generate the necessary documents based on the acquired information. Information is embedded in document templates, minimizing user effort.

[0756] Step 6:

[0757] The server generates a document and sends it to the terminal for the user to review. The user checks the document contents on the terminal screen and looks for any missing information or errors.

[0758] Step 7:

[0759] The user provides data to the emotion engine through their facial expressions and voice via their device. Based on this data, the emotion engine understands the user's emotional state.

[0760] Step 8:

[0761] The server receives feedback from the emotion engine and adjusts the interface according to the user's stress level. If the user is determined to be highly stressed, a guide that simplifies the operation procedure is displayed on the terminal.

[0762] Step 9:

[0763] If the user determines that there are no problems with the document content, they will finalize the document and send it to the server.

[0764] Step 10:

[0765] The server submits the finalized documents to the relevant department at the company. This submission officially completes the transfer process.

[0766] (Example 2)

[0767] 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".

[0768] Traditional paperwork procedures for personnel transfers involving relocation are burdensome for users and have a high probability of errors due to the complexity of the process. Furthermore, the lack of consideration for users' emotional states contributes to increased stress. There is a need to solve these problems and create an efficient and user-friendly system.

[0769] 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.

[0770] In this invention, the server includes a device for receiving address information, a data management unit for acquiring information based on the received address information, and an AI processing unit for creating electronic documents using the acquired information. This automates the document processing process, reduces the burden on the user, and allows for interface adjustment according to the user's emotional state.

[0771] "Address information" refers to data that includes detailed location information and contact details about a user's new residence when they move.

[0772] "Device" refers to a mechanical or electronic means for performing a specific function, and in this invention, it refers to a device used for receiving and processing address information.

[0773] A "data management unit" is a system component that organizes received data and retrieves additional data from external sources as needed.

[0774] An "AI processing unit" refers to computing resources used to perform complex processing and automation using artificial intelligence algorithms, and in this invention, it is used for the automatic generation of documents.

[0775] An "electronic document" is a document in digital format that is created, stored, and transmitted on a computer or electronic device.

[0776] "Emotional state" refers to the user's psychological and emotional condition, and in this invention, it means the user's stress level and emotional changes.

[0777] "Interface" refers to a screen or physical means for a user to interact directly with a system, and specifically refers to a user interface designed to facilitate user operation.

[0778] This invention provides a system for automating paperwork in personnel transfers involving relocation, and offers a method to reduce the burden on users based on address information. This system is effectively operated through the cooperation of users, terminals, and servers.

[0779] The user begins by entering their new address into the device. The device operates as a standard PC or smartphone application, providing a user-friendly interface for entering address information. The entered data is then transmitted to the server via the internet.

[0780] The server receives address information via a data management unit and uses that information to access the company's database. MySQL and Oracle are commonly used as database management systems (DBMS). The server quickly collects relevant information such as past work locations, departments, and appointment dates based on the user's ID.

[0781] The collected data is processed by an AI processing unit installed on the server. This unit utilizes a generative AI model to automatically generate appropriate documents from multiple templates. The generated documents are transferred to the terminal in PDF format or other formats, allowing the user to review their contents.

[0782] Furthermore, it features an emotion engine that analyzes the user's emotional state. The device uses the user's voice and facial expression data acquired through the camera and microphone to estimate stress and emotional changes using technologies such as TensorFlow. Based on these analysis results, the device adaptively adjusts the interface to reduce the user's operational burden.

[0783] As a concrete example, if a user is ordered to transfer from Tokyo to Osaka, the user enters their new Osaka address on the terminal. The server automatically retrieves the necessary information from the database, and an AI algorithm generates a "transfer notice." If the emotion engine detects the user's stress, the terminal automatically simplifies the operating procedure and adjusts to allow for quick document review.

[0784] Examples of prompt messages to use when inputting data into a generative AI model:

[0785] "Please use the transfer procedure system to generate the necessary documents for a new address resulting from a transfer from Tokyo to Osaka. Please consider ways to minimize the burden on users."

[0786] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0787] Step 1:

[0788] The user enters their new address into the terminal. The terminal receives the address data via an input device and stores it in its internal data structure. The entered new address information is used as the basis for future procedures.

[0789] Step 2:

[0790] The terminal sends the entered address information to the server. Specifically, the terminal generates an HTTP request over the internet and sends the address information to the server. This data is then prepared for further processing on the server.

[0791] Step 3:

[0792] The server receives address information and uses the data management unit to access the corporate database. The server uses the user ID in its queries to retrieve relevant information such as past work locations, departments, and appointment dates. The information retrieved from the database is used in the next processing step.

[0793] Step 4:

[0794] The server transfers the acquired information to an AI processing unit to generate documents. This unit utilizes a generation AI model to automatically generate the necessary documents based on templates. The specific output is a document sent to the terminal in PDF format.

[0795] Step 5:

[0796] The terminal displays the document received from the server and allows the user to review it. The user reviews the document content through the interface, identifying any errors or areas requiring additional information. The user's responses are used in the next step.

[0797] Step 6:

[0798] The user makes corrections to the document on the terminal if necessary. The terminal resends the corrected information to the server. The server receives the corrected information, makes any necessary updates, and generates the final document.

[0799] Step 7:

[0800] The emotion engine operates to analyze the user's emotional state. The device uses its camera and microphone to acquire user facial expression data and voice, and transmits this data to the server. The server performs emotion analysis using technologies such as TensorFlow, and generates decision-making data to optimize the interface based on the results.

[0801] Step 8:

[0802] The device adjusts the user interface based on the results of emotion analysis. For example, if it is determined that the user is in a high-stress state, the device simplifies the operation steps it presents and modifies the interface to allow for more intuitive operation.

[0803] (Application Example 2)

[0804] 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".

[0805] Traditionally, procedures for personnel transfers involving relocation and the introduction of new machinery have often been handled manually, resulting in a significant burden on users at each step of the paperwork and procedural process. Furthermore, since the emotional stress of users is not taken into consideration in these processes, there is a need for efficient methods that reduce this burden.

[0806] 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.

[0807] In this invention, the server includes means for receiving address information or device information from a user, means for obtaining relevant information from a database based on the received information, means for automatically generating documents using the obtained relevant information, and means for analyzing the user's emotional state using an emotion recognition engine and optimizing procedural steps. This enables automation of procedures, reduction of user burden, and optimization of operations according to the user's emotional state.

[0808] "Personnel transfers involving relocation" refers to personnel changes that require employees to move to a new address due to a change in their work location.

[0809] "Machine installation" refers to the process of installing and operating new equipment or systems on-site.

[0810] An "agent that automates procedures" is a program or system that automatically performs various procedural tasks that would otherwise be done manually.

[0811] A "user" is an individual or legal entity that operates or utilizes the system.

[0812] "Address information" refers to data that indicates a person's physical place of residence or place of work.

[0813] "Equipment information" refers to data that shows the specifications and settings of the machinery or system to be installed.

[0814] A "database" is an electronic collection of information used to systematically store and utilize information.

[0815] "Related information" refers to supplementary data necessary for a particular process or procedure.

[0816] "Means for generating documents" refers to a method or apparatus for automatically creating necessary documents from collected data.

[0817] An "emotion recognition engine" is a program or device that analyzes a user's facial expressions and voice data to determine their emotions.

[0818] "Optimizing procedural steps" means making the flow and methods of procedures more efficient based on the user's situation and circumstances.

[0819] To realize this invention, a system comprising the following configuration is used: The user enters new address or device information using a terminal, which then transmits this information to a server. Based on the user's input, the server retrieves relevant information from corporate and project databases. For example, in the case of relocation, information such as past workplaces and the date of the relocation notice is collected; in the case of machine installation, equipment specifications and deployment plans are collected.

[0820] The server automatically generates documents based on relevant information. This process utilizes a generation AI model to optimize document templates and minimize user input. The generated documents are sent to the user's terminal, where they can review the content. After review, the user makes any necessary corrections or additions and sends the final version to the server.

[0821] Furthermore, the server uses an emotion recognition engine to analyze the user's emotions from voice and facial expression data. This data analysis utilizes Google Cloud AI and other machine learning models. If the system determines that the user is experiencing high levels of stress, the terminal simplifies the procedure and provides a more intuitive interface.

[0822] As a concrete example, consider the process of introducing a new factory robot. When a user puts on smart glasses and says the voice command "Prepare for new robot introduction," the system starts the necessary procedures based on that prompt. An example of a prompt might be, "Generate templates for the necessary procedural documents when introducing a new factory robot, and simplify the introduction guide according to the operator's emotional state. If the operator is highly stressed, encourage dialogue." This allows the user to proceed with the procedure efficiently.

[0823] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0824] Step 1:

[0825] The user enters the new address or device information into the terminal. The entered information is stored as digital data on the terminal. The input format varies depending on the situation, such as address or specifications. The terminal transmits this input data to the server via the internet.

[0826] Step 2:

[0827] The server analyzes the address or device information received from the terminal and accesses the database to retrieve relevant information. The database query is constructed based on this input data, outputting past address history, machine specifications, and other relevant information. The server aggregates this data to form a dataset that serves as input for the next processing step.

[0828] Step 3:

[0829] The server automatically generates documents based on the acquired relevant information. In this process, a generation AI model is used to analyze the data and select the optimal document template. Designed to minimize user input, it automatically fills in the necessary fields. The resulting documents are provided in electronic format and sent to the terminal.

[0830] Step 4:

[0831] The user reviews the document generated on the terminal. If there are any errors or if additional information is needed, they directly correct or enter the information. The terminal then sends the corrected data back to the server.

[0832] Step 5:

[0833] The server uses an emotion recognition engine to analyze the user's voice and facial expression data. The input data used is captured by sensors on the smart device. Based on the analysis results, the server evaluates the user's stress level and adjusts the interface and procedural steps accordingly.

[0834] Step 6:

[0835] Based on the results of emotion recognition, the device automatically optimizes the procedure steps. If the system determines that the user is experiencing high stress, it provides feedback and adjusts the interface to simplify the operation steps. It utilizes prompts to guide the user clearly.

[0836] Step 7:

[0837] Once the user completes the final confirmation, the server compiles all the data and submits it to the relevant department. If necessary, it undergoes digital signing and additional verification processes before being output as an official submission document. Once all processes are complete, the user receives a completion notification via their device.

[0838] 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.

[0839] 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.

[0840] 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 robot 414.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] 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.

[0846] 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."

[0847] 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.

[0848] 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.

[0849] 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.

[0850] 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.

[0851] 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.

[0852] 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.

[0853] 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.

[0854] 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.

[0855] 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.

[0856] 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.

[0857] 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.

[0858] 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.

[0859] The following is further disclosed regarding the embodiments described above.

[0860] (Claim 1)

[0861] In a system that includes an agent to automate paperwork procedures for personnel transfers involving relocation,

[0862] A means of receiving address information from users,

[0863] A means of obtaining travel-related information from the company's internal database based on the received address information,

[0864] A means of automatically generating documents using acquired travel-related information,

[0865] A means of allowing the user to confirm the contents of the generated document,

[0866] A system that includes a means of submitting the verified documents to the relevant department within the company.

[0867] (Claim 2)

[0868] The system according to claim 1, which uses a terminal for inputting address information.

[0869] (Claim 3)

[0870] The system according to claim 1, which utilizes an artificial intelligence algorithm in the process of generating documents.

[0871] "Example 1"

[0872] (Claim 1)

[0873] A means of receiving address information from users,

[0874] A means of sending the received address information to the server,

[0875] A means by which a server accesses an internal information storage medium to obtain movement-related information,

[0876] A means of automatically generating documents using artificial intelligence processing technology with acquired movement-related information,

[0877] A means of notifying the user of the contents of the generated document and allowing them to confirm it,

[0878] A means for users to electronically submit documents they have reviewed to the relevant departments within a company,

[0879] A system that includes means to streamline procedures and help users concentrate on their work.

[0880] (Claim 2)

[0881] The system according to claim 1, which uses an information processing device for inputting address information.

[0882] (Claim 3)

[0883] The system according to claim 1, which utilizes machine learning technology in the process of generating documents.

[0884] "Application Example 1"

[0885] (Claim 1)

[0886] In an information processing system that automates paperwork procedures for personnel transfers involving relocation,

[0887] A means of receiving location information from the user,

[0888] A means for obtaining movement-related information from an information aggregation device within the organization based on the received location information,

[0889] A means of automatically generating documents using acquired movement-related information,

[0890] A means of allowing the user to confirm the contents of the generated document,

[0891] A means of sending the verified document to the relevant department within the organization,

[0892] A system that includes means for communicating data with administrative agencies and service providers based on location information, and for centrally managing prescribed procedural information.

[0893] (Claim 2)

[0894] The system according to claim 1, which uses an information terminal for inputting location information.

[0895] (Claim 3)

[0896] The system according to claim 1, which utilizes a pre-trained algorithm in the document generation process.

[0897] "Example 2 of combining an emotion engine"

[0898] (Claim 1)

[0899] A device that receives address information,

[0900] A data management unit for obtaining information based on received address information,

[0901] An AI processing unit for creating electronic documents using acquired information,

[0902] A system that includes an interface for reviewing generated electronic documents and technology for analyzing the user's emotional state.

[0903] (Claim 2)

[0904] The system according to claim 1, which uses an intelligent algorithm in the process of creating an electronic document.

[0905] (Claim 3)

[0906] The system according to claim 1, which analyzes the user's emotional state and adjusts the interface accordingly.

[0907] "Application example 2 when combining with an emotional engine"

[0908] (Claim 1)

[0909] In a system that includes agents to automate procedures related to personnel transfers involving relocation or the introduction of new machinery,

[0910] A means of receiving address information or device information from the user,

[0911] A means of obtaining relevant information from a database based on the information received,

[0912] A means of automatically generating documents using the acquired related information,

[0913] A means of allowing the user to confirm the contents of the generated document,

[0914] A means for analyzing the user's emotional state using an emotion recognition engine and optimizing procedural steps,

[0915] A system that includes a means for submitting the verified documents to the relevant department.

[0916] (Claim 2)

[0917] The system according to claim 1, wherein information is entered using a terminal or portable device.

[0918] (Claim 3)

[0919] The system according to claim 1, which utilizes an artificial intelligence algorithm in the process of document generation and user sentiment analysis. [Explanation of Symbols]

[0920] 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. In an information processing system that automates paperwork procedures for personnel transfers involving relocation, A means of receiving location information from the user, A means for obtaining movement-related information from an information aggregation device within the organization based on the received location information, A means of automatically generating documents using acquired movement-related information, A means of allowing the user to confirm the contents of the generated document, A means of sending the verified document to the relevant department within the organization, A system that includes means for communicating data with administrative agencies and service providers based on location information, and for centrally managing prescribed procedural information.

2. The system according to claim 1, which uses an information terminal for inputting location information.

3. The system according to claim 1, which utilizes a pre-trained algorithm in the document generation process.

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