system

Abstract

We provide the system. [Solution] A means of receiving input information from the user, An artificial intelligence means that automatically generates predetermined information based on the aforementioned input information, Support means for electronically transmitting or displaying the aforementioned information, A means of providing information to users in a downloadable format through the aforementioned support means, An information processing system that includes this.

Description

Technical Field

[0004] , , , ,

[0005] , , , ,

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot 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] <00,00025When current caregivers become independent, the complicated administrative procedures in corporate establishment and tax procedures are a major burden. Also, when performing duties as a care manager, it is difficult to create an efficient care plan and select service providers, and a lot of time and labor are spent on managing customer information. Due to these factors, the hurdle to independence is high, and the improvement of work efficiency and service quality is hindered. An effective support system for solving such problems is required.

Means for Solving the Problems

[0005] This invention provides a system comprising a terminal for receiving information input from users and artificial intelligence means for automatically generating documents based on that information. Furthermore, by providing means to support the process of electronically submitting the documents, it enables the smooth implementation of administrative procedures during the establishment of a corporation. It also includes means for generating an optimal plan based on user information and identifying service providers related to the plan, thereby streamlining the creation of care plans and the selection of service providers. Finally, by providing a database means for centrally managing user information and allowing editing as needed, as well as means for analyzing and reporting the information, the invention provides a system that improves both operational efficiency and service quality.

[0006] "Users" refers to care workers and care managers who input information using this system.

[0007] A "terminal" refers to a computer device or interface used by a user to input information.

[0008] "Input information" refers to the data and instructions that users provide to the system through their devices.

[0009] "Artificial intelligence methods" refer to technical techniques such as algorithms and programs that automatically generate documents and plans based on input information.

[0010] "Methods for automatically generating documents" refers to a function in which the system automatically creates necessary administrative documents and plans based on the information entered.

[0011] "Means of supporting the process" refers to functions that support the procedures and protocols for electronically submitting generated documents to the appropriate authorities.

[0012] "Plan" refers to the policies and schedules for care support services created by the care manager.

[0013] "Means of identifying service providers" refers to techniques for selecting and proposing suitable care service providers based on a plan.

[0014] A "database" refers to a system component used to centrally store and manage user and customer information.

[0015] "Means of analyzing and reporting information" refers to functions that analyze information stored in a database and perform actions to help improve business operations and make decisions. [Brief explanation of the drawing]

[0016] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] 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 combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Mode 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, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of a plurality of 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, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[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] The support system for independent care workers according to the present invention consists of a user, a terminal, and a server. It is designed to effectively support various tasks in the process of a user becoming an independent care worker, particularly a care manager.

[0038] Users access the system using their terminals and independently input necessary information such as company registration, tax procedures, care plan creation, and customer information management. This information is sent from the terminal to the server and analyzed by the server's artificial intelligence.

[0039] The server automatically generates the necessary company incorporation documents and care plans based on the input information. Company incorporation documents typically include registration documents and articles of incorporation. This simplifies complex procedures for users, allowing them to prepare the necessary documents in a short period of time.

[0040] Furthermore, the server performs advanced data analysis when creating care plans, proposing the most suitable plan for each user. In this process, it refers to past case data and relevant laws and regulations to present specific care service details tailored to the current user. In addition, the server refers to a local care service provider database to identify service providers that meet the user's needs.

[0041] Regarding customer information management, the server centrally manages user data entered by the user, allowing for information updates and deletions as needed. Furthermore, by analyzing the accumulated data and generating reports useful to users, the system provides suggestions that lead to improvements in service quality.

[0042] As a concrete example, if a care manager uses this system as a user, the care manager enters the company's address and representative information on the terminal, and the server automatically generates the necessary documents for company establishment. Subsequently, in the care plan creation stage, the care manager enters the user's current health condition and care goals, and the server generates an individualized care plan and suggests appropriate local service providers.

[0043] Thus, the system of the present invention can significantly reduce the workload of care managers when they become independent, and promote the provision of efficient and high-quality care services.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] The user logs into their device and accesses an interface to begin the company incorporation process. Here, they enter necessary information such as the company name, address, representative's name, and purpose of establishment.

[0047] Step 2:

[0048] The terminal checks the entered information, verifies that all required fields are filled in, and then sends the information to the server.

[0049] Step 3:

[0050] The server analyzes the received information and automatically generates the documents necessary for company incorporation. These generated documents include incorporation registration documents and articles of incorporation.

[0051] Step 4:

[0052] The server generates a document and sends it to the terminal, allowing the user to review its contents. The user reviews the document and makes corrections if necessary.

[0053] Step 5:

[0054] After the user has completed the verification process and the document is finalized, the terminal provides an interface to assist with the document submission process. Through this interface, the user can initiate the submission procedure to the necessary government agencies.

[0055] Step 6:

[0056] The server integrates with the electronic application system to track the submission status of documents. Users can check the submission status through their terminals.

[0057] Step 7:

[0058] If a user wishes to create a care plan, they will use a terminal to input information such as the user's health status, care needs, and goals.

[0059] Step 8:

[0060] The server analyzes this information and automatically generates the optimal care plan. The generated plan is constructed by referencing past data and similar cases.

[0061] Step 9:

[0062] The server searches for local service providers, generates a list of appropriate providers based on the care plan, and sends it to the terminal.

[0063] Step 10:

[0064] When a user requests customer information management, they use a terminal to enter new customer data and send it to the server. The server securely stores the data.

[0065] Step 11:

[0066] The server analyzes the stored information, generates reports as needed, and provides them to the user. These reports serve as guidelines for understanding customer usage trends and improving service quality.

[0067] (Example 1)

[0068] 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."

[0069] Care workers, especially those aiming for independence, face complex procedures related to company establishment, business plan creation, and administrative paperwork. Furthermore, selecting the right service providers for each client can be challenging. The challenge lies in simplifying these procedures and achieving efficient and highly accurate service delivery.

[0070] 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.

[0071] In this invention, the server includes artificial intelligence means for analyzing information and generating documents, means for generating plans by referring to past data and regulations, and means for identifying and proposing information on local service providers. This enables users to efficiently carry out procedures related to company establishment and business plan creation, and to select the most suitable service provider.

[0072] "Users" refers to care workers who use the system to aim for independence or to perform their duties.

[0073] "Input information" refers to the data that users provide to the system for establishing a corporation or creating a care plan.

[0074] "Device means" refers to the devices or interfaces that users use to input information.

[0075] "Analysis" refers to the act of processing input information using artificial intelligence and extracting and organizing the necessary data.

[0076] "Document generation" refers to the process of automatically creating formal documents based on analyzed information.

[0077] "Artificial intelligence means" refers to technologies that perform advanced data processing to intelligently analyze input information and prompt decisions.

[0078] "Preparation means" refers to the process of providing electronically generated documents in a format applicable to practical work.

[0079] "Plan generation" refers to the process of creating an optimal business plan for each individual based on collected data and legal information.

[0080] "Identification and recommendation" refers to the process by which the system selects and recommends service providers that match the user's needs.

[0081] "Management means" refers to the process of centrally organizing information and maintaining it in a form that is accessible as needed.

[0082] "Generation method" refers to a means of analyzing accumulated data and reporting useful information to users.

[0083] Modes for carrying out the invention

[0084] This support system for independent care workers is designed to enable users to efficiently establish a corporation and execute their business plans, and is primarily composed of terminals, users, and servers.

[0085] Hardware and software

[0086] The server is a computing device with high data processing capabilities that leverages a cloud-based AI platform. Specifically, it uses AI and database management systems provided by cloud service providers. The terminals are user devices such as PCs and tablets that access the server via an internet connection. Users log in to the system using a web browser or specific application and enter the necessary information.

[0087] The server utilizes a generative AI model to analyze information submitted by users. This AI model performs advanced data analysis and has the capability to automatically generate specified documents. Furthermore, the database stores past case data and relevant laws and regulations, which are used to generate care plans and identify local service providers.

[0088] Specific example

[0089] For example, when a caregiver uses the system, they input basic information about the organization into a terminal, and the server analyzes this information to automatically generate the necessary documents for establishing the organization. This process involves referencing various data to meet legal requirements. Furthermore, when the caregiver inputs the client's health information and care goals, the server uses an AI model to create an optimal care plan and provides a list of suitable service providers in the area.

[0090] Examples of prompts for generative AI models

[0091] "I want to design a system that generates the necessary documents for establishing a new corporation and suggests the most suitable care service providers in the area. First, please tell me how to automatically generate the establishment documents by inputting the corporation's location and basic information."

[0092] This system significantly reduces the complexity of tasks for care workers, enabling them to become independent quickly and efficiently, and promoting the provision of high-quality care services.

[0093] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0094] Step 1:

[0095] The user accesses the system through their device and logs in.

[0096] In terms of specific actions, the user opens a web browser, enters the system's URL, and accesses it. The user then enters their authentication information (username and password) on the login screen and is authorized to access the system.

[0097] Input: User authentication information.

[0098] Output: System access granted.

[0099] Step 2:

[0100] The user independently enters the necessary information into the device.

[0101] In terms of specific actions, the user enters company name, address, representative information, business type information, etc., into a form. In addition, they also enter the client's health information and care goals for creating a care plan.

[0102] Input: Corporate establishment information, care plan information.

[0103] Output: Input information in the format sent to the server.

[0104] Step 3:

[0105] The terminal sends user input information to the server.

[0106] Specifically, the terminal secures the entered information and transfers the data to the server using a secure communication protocol (e.g., HTTPS).

[0107] Input: Corporate establishment information and care plan information entered by the user.

[0108] Output: Input information sent to the server.

[0109] Step 4:

[0110] The server receives the input information and performs analysis.

[0111] In terms of specific operations, the server stores the received data in a database and analyzes it using a generated AI model. Information integrity checks are also performed, and classification is carried out.

[0112] Input: Information sent from the device.

[0113] Output: Analyzed information, consistency check results.

[0114] Step 5:

[0115] The server automatically generates the necessary documents for company incorporation.

[0116] Specifically, the server automatically generates the necessary documents for company establishment (e.g., registration documents, articles of incorporation) based on the analysis results and saves them in a format that the user can download (e.g., PDF).

[0117] Input: Analyzed company establishment information.

[0118] Output: Automatically generated company incorporation documents.

[0119] Step 6:

[0120] The server creates a care plan and suggests related services.

[0121] Specifically, the server uses an AI model to create an optimal care plan based on the analyzed care information, and then queries a local service provider database to generate a list of appropriate service providers.

[0122] Input: Analyzed care plan information.

[0123] Output: Generated care plan, proposed service provider list.

[0124] Step 7:

[0125] The server uses centrally managed data to generate reports.

[0126] Specifically, the server analyzes customer information in the database, generates useful reports for users, and visualizes them on a dashboard. These reports are also available for download as PDFs.

[0127] Input: User's customer information data.

[0128] Output: Generated report, visualization results on dashboard.

[0129] (Application Example 1)

[0130] 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."

[0131] In the long-term care industry, independent care workers face the problem of spending a great deal of time and effort on complex procedures such as establishing a corporation and creating care plans. Furthermore, it is difficult to easily identify appropriate service providers, and significant resources must be allocated to information management and quality improvement each time.

[0132] 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.

[0133] In this invention, the server includes communication means for receiving input information from users, artificial intelligence means for automatically generating predetermined information based on the input information, and support means for electronically transmitting or displaying the information. This significantly reduces the time and effort required for users to establish a corporation or create care plans, and enables efficient information management.

[0134] "Communication means" refers to methods and technologies for receiving input information from users and transmitting it to servers or databases.

[0135] "Artificial intelligence means" refers to technologies used to analyze input information and automatically generate predetermined information.

[0136] "Support means" refers to methods of electronically transmitting or displaying generated information so that users can easily access it.

[0137] A "data storage system" is a system that centrally manages user information and allows it to be accessed, updated, or deleted as needed.

[0138] A "report generation method" is a technology that creates and distributes reports based on accumulated information to help improve the quality of services.

[0139] The system for implementing this invention consists of a user-operated terminal, a server for data processing, and infrastructure to support communication. The terminal includes mobile information devices such as smartphones and tablets, through which the user inputs necessary information and sends it to the server. The server uses Firebase as a real-time database to achieve high-speed data reading and writing.

[0140] On the server side, data is received and processed using the Python Flask framework. For artificial intelligence, machine learning libraries such as Scikit-learn and TENSORFLOW® are combined to analyze information received from users and automatically generate specified documents and plans. These generated documents are provided to users in PDF or other downloadable formats.

[0141] For example, if a care worker is aiming to become independent and establish a corporation, they would input information such as the corporation name and address into a terminal. Based on this information, the server automatically generates the necessary documents, which the user can download, print, and use. Furthermore, it is easy to review the generated care plan and select the most suitable service provider from local providers.

[0142] As an example of utilizing the generative AI model, a prompt message such as "Please generate the documents required for company incorporation. The company name is XXXX, and the address is YYYY." is entered. In response, the server performs the prescribed processing and provides the desired documents to the user.

[0143] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0144] Step 1:

[0145] Users use their devices to input the necessary information for company establishment and care plan creation on the screen. This information includes the company name, address, user health information, and care goals. This input information is formatted in JSON format and sent to the server.

[0146] Step 2:

[0147] The server parses the received JSON data and extracts the necessary data items. It uses the Flask framework for analysis and stores the data in a database. Data processing involves cleaning the items and converting them into a format usable by artificial intelligence.

[0148] Step 3:

[0149] The server uses Scikit-learn or TensorFlow to analyze data and generate document content and care plans tailored to the purpose. For specific generation, it references historical data and relevant laws and regulations, and utilizes statistical analysis and machine learning models. The generated information is temporarily stored in memory.

[0150] Step 4:

[0151] The generated documents and plans are converted to PDF format. The converted files are saved to storage accessible to the user, and a download link is provided. This process utilizes Python libraries such as ReportLab.

[0152] Step 5:

[0153] The server sends the user a download link for the generated document, which is then displayed on their device. By clicking the link, the user can review the generated document and, if necessary, print or submit it. The output is presented through a visual interface.

[0154] 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.

[0155] The caregiver support system according to the present invention consists of a user, a terminal, a server, and an emotion engine. In addition to conventional document creation and plan creation support, this system aims to provide a more efficient and user-friendly service by understanding the user's emotions in real time and adjusting work accordingly.

[0156] Users access the system through their terminals and begin steps such as company registration, care plan creation, and customer data management. The terminals utilize an emotion engine to analyze the user's emotions from their voice, facial expressions, and text input. For example, if a user is feeling stressed, the emotion engine detects this state and notifies the server.

[0157] Based on the user's emotional information received from the emotion engine, the server takes appropriate action depending on the situation. For example, if a user expresses confusion during the company formation process, the server will display additional explanations or help options on the interface. Furthermore, when the emotion engine captures positive emotions from the user, the server can adjust its approach to expedite the planning and proposal processes and provide positive feedback.

[0158] As a concrete example, if the terminal detects the user's fatigue while they are creating a care plan, the server will provide support for plan creation according to the situation and automatically generate the most suitable care plan for the user. In this process, information is presented with consideration for the user's emotions, allowing the user to proceed with the plan smoothly.

[0159] Furthermore, it is possible to adjust the selection of service providers according to the user's emotions. If the user is experiencing high stress levels, priority can be given to suggesting service providers with strong support capabilities, thereby providing a greater sense of security.

[0160] Thus, a support system for independent care workers incorporating an emotional engine can reduce the workload and enable efficient operation while taking into consideration the mental state of the users.

[0161] The following describes the processing flow.

[0162] Step 1:

[0163] The user logs into the device and selects an interface for establishing a company, creating a care plan, or managing customer information.

[0164] Step 2:

[0165] The device collects user voice, facial expressions, and text input and sends the data to the emotion engine. This data includes changes in the user's speech patterns and facial expressions.

[0166] Step 3:

[0167] The emotion engine analyzes the received data and evaluates the user's emotional state in real time. Emotions such as stress, confusion, and fatigue are recognized at this stage.

[0168] Step 4:

[0169] The server receives feedback from the emotion engine and makes adjustments based on the emotional state. For example, if it indicates confusion, it sends instructions to the terminal offering additional help options to simplify the process.

[0170] Step 5:

[0171] When a user enters company registration information, the server automatically generates the necessary documents. During this process, the terminal monitors the user's emotional state and displays suggestions to reduce the user's workload.

[0172] Step 6:

[0173] In care plan creation, the server generates the optimal plan based on user information entered by the user. The emotion engine analyzes the user's emotions and adjusts the speed of plan recommendations according to the situation, providing a more positive experience.

[0174] Step 7:

[0175] When the device suggests the most suitable service provider, it customizes the suggestions by taking data from the emotion engine into consideration. For example, if fatigue is detected, it will recommend a provider with particularly excellent support.

[0176] Step 8:

[0177] During initial setup and data management, the server manages database updates and report generation based on user feedback. Sentimental data is also included as part of the reports and used for subsequent business improvements.

[0178] (Example 2)

[0179] 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".

[0180] In an aging society, the diversification and increase in care needs have led to a growing workload for care workers. Furthermore, conventional care support systems struggle to provide flexible responses tailored to the individual circumstances and emotions of users, necessitating increased efficiency and improved user satisfaction. A system is needed to address these issues and provide more individualized care support.

[0181] 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.

[0182] In this invention, the server includes an information processing device that receives input information from a user, artificial intelligence means that automatically generates a predetermined document based on the input information, means that support the procedure for electronically submitting the document, emotion analysis means that analyzes the user's voice, facial expressions, and text input to understand their emotional state, and control means that presents appropriate countermeasures based on the information from the emotion analysis means. This enables flexible responses and personalized service provision in accordance with the user's emotional state.

[0183] An "information processing device" is a device that receives input information from users and processes it appropriately.

[0184] "Artificial intelligence means" refers to technology that has a mechanism for automatically generating a predetermined document based on input information.

[0185] "Means to support procedures for electronic submission" refers to functions that assist with the procedures required when submitting generated documents online.

[0186] "Emotional analysis methods" are technologies that analyze a user's voice, facial expressions, and text input to grasp their emotional state in real time.

[0187] A "control mechanism" is a system that, based on information obtained from emotion analysis mechanisms, presents appropriate countermeasures according to the situation.

[0188] A "storage device" is a device equipped with a database function for centrally managing user information.

[0189] An "evaluation method" is a system that analyzes information in a storage device and performs evaluations and reports to improve service quality.

[0190] "Means of providing real-time feedback" refers to technologies that provide feedback quickly in response to the user's emotional state.

[0191] The system according to the present invention consists of four main elements: user, terminal, server, and emotion analysis engine. This system aims to improve efficiency in the work of care workers and enhance user satisfaction. Specific embodiments of each element are described below.

[0192] Users access the system through an information processing terminal. During this process, users can select services such as company establishment, care plan creation, and customer data management. The terminal incorporates an emotion analysis engine for analyzing voice, facial expressions, and text input. The emotion analysis engine utilizes the latest generative AI models to analyze the user's emotions in real time. This allows the system to understand the user's emotional state and provide appropriate feedback and support.

[0193] The server receives user emotions and input information sent from the terminal and determines a course of action based on this information. For example, if the server detects that the user is in a confused state, it sends instructions to the terminal to display additional explanations or help on the interface. If positive emotions are detected, it provides support to quickly proceed with the plan. The server uses a database to manage user information and maintains centralized information management.

[0194] For example, when a user is creating a care plan, if the device detects the user's fatigue level, the server automatically generates an optimal care plan and presents it to the user. This allows the user to proceed with the plan smoothly and reduces their workload. By utilizing a generation AI model and providing real-time, emotion-responsive feedback, highly personalized service delivery becomes possible.

[0195] As an example of a prompt, the system processes an instruction such as, "Analyze the user's emotions regarding the current task and suggest appropriate support," which allows for the rapid presentation of solutions.

[0196] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0197] Step 1:

[0198] The user logs into the system using an information processing terminal. The user enters authentication information (user ID and password) during login. The terminal authenticates the user by sending this authentication information to the server. The server verifies the entered authentication information, and if successful, outputs data to the terminal to display the user's dashboard.

[0199] Step 2:

[0200] The user selects available services, such as company establishment or care plan creation. Based on the user's selection, the device provides information such as voice input, facial expressions, and text input to the emotion analysis engine. The emotion analysis engine uses this data to analyze the user's emotions using a generative AI model. The analysis results are output to the device as data representing the user's emotional state.

[0201] Step 3:

[0202] The terminal sends emotion data obtained from the emotion analysis engine to the server. The server determines the appropriate course of action based on the received emotion data and the user's selected service information. For example, if the user is identified as confused, the server instructs the terminal to display additional explanations or help options on the interface. The necessary explanatory data is then sent to the terminal.

[0203] Step 4:

[0204] The user can review the displayed interface and request additional services or assistance as needed. The terminal sends the additional request to the server. The server then receives the user's request and outputs data to the terminal to provide the appropriate information or services.

[0205] Step 5:

[0206] The server automatically generates optimized care plans, taking into account the user's emotions and input, when providing specific services such as creating care plans. The generated plans are sent to the terminal and displayed on the user's screen. This allows the user to carry out their tasks efficiently.

[0207] (Application Example 2)

[0208] 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".

[0209] To improve the efficiency of care workers and support their independence, it is crucial to accurately understand the emotional state of service users and provide appropriate support. However, traditional methods make it difficult to analyze service users' emotions in real time and provide support accordingly, hindering efficient and user-friendly support. Solving these challenges is essential.

[0210] 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.

[0211] In this invention, the server includes a device for acquiring emotional information from the user, data processing means for adjusting the response based on the emotional information, and human interface means for presenting the response to the user. This makes it possible to grasp the user's emotional state in real time and to quickly provide appropriate support according to that state.

[0212] A "device" is a machine used to acquire emotional information from users.

[0213] "Data processing means" refers to methods for processing responses to adjust them based on acquired emotional information.

[0214] A "human interface means" is an interface method for presenting a tailored response to a user.

[0215] A "media playback method" is a technique for selecting and playing appropriate music content based on emotional information.

[0216] "Data output means" refers to a method of outputting data to present success stories tailored to the user's emotional state.

[0217] A "report generation method" is a means of analyzing emotional information and generating reports that can be used to improve the efficiency of work.

[0218] "Calculation processing means" refers to means that perform calculations to generate feedback based on the analysis results.

[0219] A "display device" is a device used to visually display generated feedback.

[0220] In implementing this invention, a system is constructed in which a server, a terminal, and a user cooperate with each other to utilize emotional information. The server first collects data in real time using a device that acquires emotional information from the user. This device may include a sensor device with voice recognition or facial expression detection capabilities. For example, a smart terminal equipped with a voice assistant function falls into this category.

[0221] Next, the server uses data processing tools to generate a response using the acquired emotional information. These tools include software that applies machine learning algorithms, specifically using emotional analysis models based on Python or TensorFlow. This analysis generates a response appropriate to the user's emotional state. This response is then presented to the user via a human interface. In the visual interface, a smartphone or tablet screen serves this role. Through interactive responses and information presentation, the user receives smooth support.

[0222] As a further example, if the terminal detects the user's stress, that data is transferred to a server, and relaxing music is suggested via a media playback device. This music is selected based on emotional data, with the aim of enhancing relaxation. Furthermore, if the user wishes to refer to past success stories, they can use a data output device to search for examples, which can then be displayed on the interface.

[0223] The following is an example of a specific generated AI prompt: "If a user expresses anxiety about the company formation process, the system will generate support information tailored to their psychological state. Specifically, it will dynamically present past success stories and play relaxing music through a music streaming service to alleviate the user's anxiety." This enables flexible and effective support based on emotional information.

[0224] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0225] Step 1:

[0226] The device acquires user voice and facial expression data using sensor devices and collects it as initial input data. This data is stored as audio files and image data.

[0227] Step 2:

[0228] The device converts collected audio data into text data using speech recognition software. This process involves inputting the audio file into a text analysis algorithm and outputting the analyzed text. Specifically, it recognizes the audio waveform, applies a language model, and converts it into human language.

[0229] Step 3:

[0230] The server inputs text and image data into an emotion analysis engine to determine the user's emotional state. This emotion analysis uses a machine learning model to analyze the data and identify the user's emotions. Specifically, this includes processes such as extracting emotional keywords from text and capturing facial features from images.

[0231] Step 4:

[0232] The server uses a generative AI model to generate appropriate responses based on the sentiment analysis results. In this generation process, sentiment data is input to the model as prompts, and response sentences and suggested responses are output. Specifically, it explores feedback and actions that correspond to the sentiment and constructs outputs based on them.

[0233] Step 5:

[0234] The server sends the generated response to the terminal and presents it to the user via the screen or speaker. Here, the response data is formatted and displayed or output as audio in a user-friendly manner. Specific operations include text-to-speech synthesis and the use of a visually intuitive interface.

[0235] 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.

[0236] 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.

[0237] 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.

[0238] [Second Embodiment]

[0239] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0240] 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.

[0241] 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).

[0242] 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.

[0243] 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.

[0244] 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).

[0245] 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.

[0246] 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.

[0247] 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.

[0248] 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.

[0249] 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.

[0250] 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".

[0251] The support system for independent care workers according to the present invention consists of a user, a terminal, and a server. It is designed to effectively support various tasks in the process of a user becoming an independent care worker, particularly a care manager.

[0252] Users access the system using their terminals and independently input necessary information such as company registration, tax procedures, care plan creation, and customer information management. This information is sent from the terminal to the server and analyzed by the server's artificial intelligence.

[0253] The server automatically generates the necessary company incorporation documents and care plans based on the input information. Company incorporation documents typically include registration documents and articles of incorporation. This simplifies complex procedures for users, allowing them to prepare the necessary documents in a short period of time.

[0254] Furthermore, the server performs advanced data analysis when creating care plans, proposing the most suitable plan for each user. In this process, it refers to past case data and relevant laws and regulations to present specific care service details tailored to the current user. In addition, the server refers to a local care service provider database to identify service providers that meet the user's needs.

[0255] Regarding customer information management, the server centrally manages user data entered by the user, allowing for information updates and deletions as needed. Furthermore, by analyzing the accumulated data and generating reports useful to users, the system provides suggestions that lead to improvements in service quality.

[0256] As a concrete example, if a care manager uses this system as a user, the care manager enters the company's address and representative information on the terminal, and the server automatically generates the necessary documents for company establishment. Subsequently, in the care plan creation stage, the care manager enters the user's current health condition and care goals, and the server generates an individualized care plan and suggests appropriate local service providers.

[0257] Thus, the system of the present invention can significantly reduce the workload of care managers when they become independent, and promote the provision of efficient and high-quality care services.

[0258] The following describes the processing flow.

[0259] Step 1:

[0260] The user logs into their device and accesses an interface to begin the company incorporation process. Here, they enter necessary information such as the company name, address, representative's name, and purpose of establishment.

[0261] Step 2:

[0262] The terminal checks the entered information, verifies that all required fields are filled in, and then sends the information to the server.

[0263] Step 3:

[0264] The server analyzes the received information and automatically generates the documents necessary for company incorporation. These generated documents include incorporation registration documents and articles of incorporation.

[0265] Step 4:

[0266] The server generates a document and sends it to the terminal, allowing the user to review its contents. The user reviews the document and makes corrections if necessary.

[0267] Step 5:

[0268] After the user has completed the verification process and the document is finalized, the terminal provides an interface to assist with the document submission process. Through this interface, the user can initiate the submission procedure to the necessary government agencies.

[0269] Step 6:

[0270] The server integrates with the electronic application system to track the submission status of documents. Users can check the submission status through their terminals.

[0271] Step 7:

[0272] If a user wishes to create a care plan, they will use a terminal to input information such as the user's health status, care needs, and goals.

[0273] Step 8:

[0274] Based on this information, the server performs data analysis and automatically generates an optimal care plan. The generated plan is constructed by referring to past data and similar cases.

[0275] Step 9:

[0276] The server searches for local service providers, generates a list of appropriate providers based on the care plan, and sends it to the terminal.

[0277] Step 10:

[0278] When the user wishes to manage customer information, they use the terminal to input the data of new customers and send it to the server. The server securely stores the data.

[0279] Step 11:

[0280] The server analyzes the stored information, generates a report as needed, and provides it to the user. This report serves as a guideline for improving customer usage trends and service quality.

[0281] (Example 1)

[0282] Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0283] Care workers, especially those aiming for independence, face complex procedures related to the establishment of a corporation, the creation of business plans, and administrative procedures. In addition, it may be difficult to select service providers according to the users. Simplifying these procedures and realizing efficient and accurate business operations are the issues.

[0284] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. <​In this invention, the server includes artificial intelligence means for analyzing information and generating documents, means for generating a plan by referring to past data and regulations, and means for identifying and proposing regional service provider information. As a result, the user can efficiently perform procedures associated with corporate establishment and business plan creation, and can also select an optimal service provider.

[0286] The "user" refers to a caregiver who uses the system to aim for independence or perform duties.

[0287] The "input information" refers to data necessary for corporate establishment or care plan creation provided by the user to the system.

[0288] The "device means" refers to devices and interfaces used by the user to input information.

[0289] "Analysis" refers to the act of processing input information by artificial intelligence and extracting and organizing necessary data.

[0290] "Document generation" refers to the process of automatically creating official documents based on the analyzed information.

[0291] The "artificial intelligence means" refers to a technology that performs advanced data processing, intelligently analyzes input information, and prompts a decision.

[0292] The "preparation means" refers to the process of providing electronically generated documents in a form applicable to actual work.

[0293] "Plan generation" refers to the process of creating an optimal business plan individually based on the collected data and legal information.

[0294] "Identification and proposal" refers to the act of the system selecting and recommending a service provider that matches the needs of the user.

[0295] The "management means" refers to the process of comprehensively organizing information and storing it in an accessible form as needed.

[0296] "Generation method" refers to a means of analyzing accumulated data and reporting useful information to users.

[0297] Modes for carrying out the invention

[0298] This support system for independent care workers is designed to enable users to efficiently establish a corporation and execute their business plans, and is primarily composed of terminals, users, and servers.

[0299] Hardware and software

[0300] The server is a computing device with high data processing capabilities that leverages a cloud-based AI platform. Specifically, it uses AI and database management systems provided by cloud service providers. The terminals are user devices such as PCs and tablets that access the server via an internet connection. Users log in to the system using a web browser or specific application and enter the necessary information.

[0301] The server utilizes a generative AI model to analyze information submitted by users. This AI model performs advanced data analysis and has the capability to automatically generate specified documents. Furthermore, the database stores past case data and relevant laws and regulations, which are used to generate care plans and identify local service providers.

[0302] Specific example

[0303] For example, when a caregiver uses the system, they input basic information about the organization into a terminal, and the server analyzes this information to automatically generate the necessary documents for establishing the organization. This process involves referencing various data to meet legal requirements. Furthermore, when the caregiver inputs the client's health information and care goals, the server uses an AI model to create an optimal care plan and provides a list of suitable service providers in the area.

[0304] Example of a prompt sentence for an AI model

[0305] "I want to design a system that generates the documents required for establishing a new corporation and proposes the optimal care service providers in the region. First, please teach me how to automatically generate the establishment documents by inputting the location and basic information of the corporation."

[0306] With this system, care workers can significantly reduce the complexity of their work, achieve independence quickly and efficiently, and promote the provision of high-quality care services.

[0307] The flow of the specific process in Example 1 will be described using FIG. 11.

[0308] Step 1:

[0309] The user accesses the system through a terminal and logs in.

[0310] As a specific operation, the user opens a web browser, enters the URL of the system, and accesses it. The user enters authentication information (username and password) on the login screen and is approved to access the system.

[0311] Input: User authentication information.

[0312] [[ID=三十二]] Output: Permission to access the system.

[0313] Step 2:

[0314] The user independently inputs the necessary information into the terminal.

[0315] As a specific operation, the user inputs the corporation name, location, representative information, business type information, etc. into a form. In addition, the client's health information and care goals for creating a care plan are also input.

[0316] Input: Corporation establishment information, care plan information.

[0317] Output: Input information in the format sent to the server.

[0318] Step 3:

[0319] The terminal sends user input information to the server.

[0320] Specifically, the terminal secures the entered information and transfers the data to the server using a secure communication protocol (e.g., HTTPS).

[0321] Input: Corporate establishment information and care plan information entered by the user.

[0322] Output: Input information sent to the server.

[0323] Step 4:

[0324] The server receives the input information and performs analysis.

[0325] In terms of specific operations, the server stores the received data in a database and analyzes it using a generated AI model. Information integrity checks are also performed, and classification is carried out.

[0326] Input: Information sent from the device.

[0327] Output: Analyzed information, consistency check results.

[0328] Step 5:

[0329] The server automatically generates the necessary documents for company incorporation.

[0330] Specifically, the server automatically generates the necessary documents for company establishment (e.g., registration documents, articles of incorporation) based on the analysis results and saves them in a format that the user can download (e.g., PDF).

[0331] Input: Analyzed company establishment information.

[0332] Output: Automatically generated company incorporation documents.

[0333] Step 6:

[0334] The server creates a care plan and suggests related services.

[0335] Specifically, the server uses an AI model to create an optimal care plan based on the analyzed care information, and then queries a local service provider database to generate a list of appropriate service providers.

[0336] Input: Analyzed care plan information.

[0337] Output: Generated care plan, proposed service provider list.

[0338] Step 7:

[0339] The server uses centrally managed data to generate reports.

[0340] Specifically, the server analyzes customer information in the database, generates useful reports for users, and visualizes them on a dashboard. These reports are also available for download as PDFs.

[0341] Input: User's customer information data.

[0342] Output: Generated report, visualization results on dashboard.

[0343] (Application Example 1)

[0344] 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."

[0345] In the long-term care industry, independent care workers face the problem of spending a great deal of time and effort on complex procedures such as establishing a corporation and creating care plans. Furthermore, it is difficult to easily identify appropriate service providers, and significant resources must be allocated to information management and quality improvement each time.

[0346] 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.

[0347] In this invention, the server includes communication means for receiving input information from users, artificial intelligence means for automatically generating predetermined information based on the input information, and support means for electronically transmitting or displaying the information. This significantly reduces the time and effort required for users to establish a corporation or create care plans, and enables efficient information management.

[0348] "Communication means" refers to methods and technologies for receiving input information from users and transmitting it to servers or databases.

[0349] "Artificial intelligence means" refers to technologies used to analyze input information and automatically generate predetermined information.

[0350] "Support means" refers to methods of electronically transmitting or displaying generated information so that users can easily access it.

[0351] A "data storage system" is a system that centrally manages user information and allows it to be accessed, updated, or deleted as needed.

[0352] A "report generation method" is a technology that creates and distributes reports based on accumulated information to help improve the quality of services.

[0353] The system for implementing this invention consists of a user-operated terminal, a server for data processing, and infrastructure to support communication. The terminal includes mobile information devices such as smartphones and tablets, through which the user inputs necessary information and sends it to the server. The server uses Firebase as a real-time database to achieve high-speed data reading and writing.

[0354] On the server side, data is received and processed using the Flask framework in Python. For artificial intelligence, machine learning libraries such as Scikit-learn and TensorFlow are combined to analyze information received from users and automatically generate specified documents and plans. These generated documents are provided to users in PDF or other downloadable formats.

[0355] For example, if a care worker is aiming to become independent and establish a corporation, they would input information such as the corporation name and address into a terminal. Based on this information, the server automatically generates the necessary documents, which the user can download, print, and use. Furthermore, it is easy to review the generated care plan and select the most suitable service provider from local providers.

[0356] As an example of utilizing the generative AI model, a prompt message such as "Please generate the documents required for company incorporation. The company name is XXXX, and the address is YYYY." is entered. In response, the server performs the prescribed processing and provides the desired documents to the user.

[0357] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0358] Step 1:

[0359] Users use their devices to input the necessary information for company establishment and care plan creation on the screen. This information includes the company name, address, user health information, and care goals. This input information is formatted in JSON format and sent to the server.

[0360] Step 2:

[0361] The server parses the received JSON data and extracts the necessary data items. It uses the Flask framework for analysis and stores the data in a database. Data processing involves cleaning the items and converting them into a format usable by artificial intelligence.

[0362] Step 3:

[0363] The server uses Scikit-learn or TensorFlow to analyze data and generate document content and care plans tailored to the purpose. For specific generation, it references historical data and relevant laws and regulations, and utilizes statistical analysis and machine learning models. The generated information is temporarily stored in memory.

[0364] Step 4:

[0365] The generated documents and plans are converted to PDF format. The converted files are saved to storage accessible to the user, and a download link is provided. This process utilizes Python libraries such as ReportLab.

[0366] Step 5:

[0367] The server sends the user a download link for the generated document, which is then displayed on their device. By clicking the link, the user can review the generated document and, if necessary, print or submit it. The output is presented through a visual interface.

[0368] 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.

[0369] The caregiver support system according to the present invention consists of a user, a terminal, a server, and an emotion engine. In addition to conventional document creation and plan creation support, this system aims to provide a more efficient and user-friendly service by understanding the user's emotions in real time and adjusting work accordingly.

[0370] Users access the system through their terminals and begin steps such as company registration, care plan creation, and customer data management. The terminals utilize an emotion engine to analyze the user's emotions from their voice, facial expressions, and text input. For example, if a user is feeling stressed, the emotion engine detects this state and notifies the server.

[0371] Based on the user's emotional information received from the emotion engine, the server takes appropriate action depending on the situation. For example, if a user expresses confusion during the company formation process, the server will display additional explanations or help options on the interface. Furthermore, when the emotion engine captures positive emotions from the user, the server can adjust its approach to expedite the planning and proposal processes and provide positive feedback.

[0372] As a concrete example, if the terminal detects the user's fatigue while they are creating a care plan, the server will provide support for plan creation according to the situation and automatically generate the most suitable care plan for the user. In this process, information is presented with consideration for the user's emotions, allowing the user to proceed with the plan smoothly.

[0373] Furthermore, it is possible to adjust the selection of service providers according to the user's emotions. If the user is experiencing high stress levels, priority can be given to suggesting service providers with strong support capabilities, thereby providing a greater sense of security.

[0374] Thus, a support system for independent care workers incorporating an emotional engine can reduce the workload and enable efficient operation while taking into consideration the mental state of the users.

[0375] The following describes the processing flow.

[0376] Step 1:

[0377] The user logs into the device and selects an interface for establishing a company, creating a care plan, or managing customer information.

[0378] Step 2:

[0379] The device collects user voice, facial expressions, and text input and sends the data to the emotion engine. This data includes changes in the user's speech patterns and facial expressions.

[0380] Step 3:

[0381] The emotion engine analyzes the received data and evaluates the user's emotional state in real time. Emotions such as stress, confusion, and fatigue are recognized at this stage.

[0382] Step 4:

[0383] The server receives feedback from the emotion engine and makes adjustments based on the emotional state. For example, if it indicates confusion, it sends instructions to the terminal offering additional help options to simplify the process.

[0384] Step 5:

[0385] When a user enters company registration information, the server automatically generates the necessary documents. During this process, the terminal monitors the user's emotional state and displays suggestions to reduce the user's workload.

[0386] Step 6:

[0387] In care plan creation, the server generates the optimal plan based on user information entered by the user. The emotion engine analyzes the user's emotions and adjusts the speed of plan recommendations according to the situation, providing a more positive experience.

[0388] Step 7:

[0389] When the device suggests the most suitable service provider, it customizes the suggestions by taking data from the emotion engine into consideration. For example, if fatigue is detected, it will recommend a provider with particularly excellent support.

[0390] Step 8:

[0391] During initial setup and data management, the server manages database updates and report generation based on user feedback. Sentimental data is also included as part of the reports and used for subsequent business improvements.

[0392] (Example 2)

[0393] 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".

[0394] In an aging society, the diversification and increase in care needs have led to a growing workload for care workers. Furthermore, conventional care support systems struggle to provide flexible responses tailored to the individual circumstances and emotions of users, necessitating increased efficiency and improved user satisfaction. A system is needed to address these issues and provide more individualized care support.

[0395] 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.

[0396] In this invention, the server includes an information processing device that receives input information from a user, artificial intelligence means that automatically generates a predetermined document based on the input information, means that support the procedure for electronically submitting the document, emotion analysis means that analyzes the user's voice, facial expressions, and text input to understand their emotional state, and control means that presents appropriate countermeasures based on the information from the emotion analysis means. This enables flexible responses and personalized service provision in accordance with the user's emotional state.

[0397] An "information processing device" is a device that receives input information from users and processes it appropriately.

[0398] "Artificial intelligence means" refers to technology that has a mechanism for automatically generating a predetermined document based on input information.

[0399] "Means to support procedures for electronic submission" refers to functions that assist with the procedures required when submitting generated documents online.

[0400] "Emotional analysis methods" are technologies that analyze a user's voice, facial expressions, and text input to grasp their emotional state in real time.

[0401] A "control mechanism" is a system that, based on information obtained from emotion analysis mechanisms, presents appropriate countermeasures according to the situation.

[0402] A "storage device" is a device equipped with a database function for centrally managing user information.

[0403] An "evaluation method" is a system that analyzes information in a storage device and performs evaluations and reports to improve service quality.

[0404] "Means of providing real-time feedback" refers to technologies that provide feedback quickly in response to the user's emotional state.

[0405] The system according to the present invention consists of four main elements: user, terminal, server, and emotion analysis engine. This system aims to improve efficiency in the work of care workers and enhance user satisfaction. Specific embodiments of each element are described below.

[0406] Users access the system through an information processing terminal. During this process, users can select services such as company establishment, care plan creation, and customer data management. The terminal incorporates an emotion analysis engine for analyzing voice, facial expressions, and text input. The emotion analysis engine utilizes the latest generative AI models to analyze the user's emotions in real time. This allows the system to understand the user's emotional state and provide appropriate feedback and support.

[0407] The server receives user emotions and input information sent from the terminal and determines a course of action based on this information. For example, if the server detects that the user is in a confused state, it sends instructions to the terminal to display additional explanations or help on the interface. If positive emotions are detected, it provides support to quickly proceed with the plan. The server uses a database to manage user information and maintains centralized information management.

[0408] For example, when a user is creating a care plan, if the device detects the user's fatigue level, the server automatically generates an optimal care plan and presents it to the user. This allows the user to proceed with the plan smoothly and reduces their workload. By utilizing a generation AI model and providing real-time, emotion-responsive feedback, highly personalized service delivery becomes possible.

[0409] As an example of a prompt, the system processes an instruction such as, "Analyze the user's emotions regarding the current task and suggest appropriate support," which allows for the rapid presentation of solutions.

[0410] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0411] Step 1:

[0412] The user logs into the system using an information processing terminal. The user enters authentication information (user ID and password) during login. The terminal authenticates the user by sending this authentication information to the server. The server verifies the entered authentication information, and if successful, outputs data to the terminal to display the user's dashboard.

[0413] Step 2:

[0414] The user selects available services, such as company establishment or care plan creation. Based on the user's selection, the device provides information such as voice input, facial expressions, and text input to the emotion analysis engine. The emotion analysis engine uses this data to analyze the user's emotions using a generative AI model. The analysis results are output to the device as data representing the user's emotional state.

[0415] Step 3:

[0416] The terminal sends emotion data obtained from the emotion analysis engine to the server. The server determines the appropriate course of action based on the received emotion data and the user's selected service information. For example, if the user is identified as confused, the server instructs the terminal to display additional explanations or help options on the interface. The necessary explanatory data is then sent to the terminal.

[0417] Step 4:

[0418] The user can review the displayed interface and request additional services or assistance as needed. The terminal sends the additional request to the server. The server then receives the user's request and outputs data to the terminal to provide the appropriate information or services.

[0419] Step 5:

[0420] The server automatically generates optimized care plans, taking into account the user's emotions and input, when providing specific services such as creating care plans. The generated plans are sent to the terminal and displayed on the user's screen. This allows the user to carry out their tasks efficiently.

[0421] (Application Example 2)

[0422] 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."

[0423] To improve the efficiency of care workers and support their independence, it is crucial to accurately understand the emotional state of service users and provide appropriate support. However, traditional methods make it difficult to analyze service users' emotions in real time and provide support accordingly, hindering efficient and user-friendly support. Solving these challenges is essential.

[0424] 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.

[0425] In this invention, the server includes a device for acquiring emotional information from the user, data processing means for adjusting the response based on the emotional information, and human interface means for presenting the response to the user. This makes it possible to grasp the user's emotional state in real time and to quickly provide appropriate support according to that state.

[0426] A "device" is a machine used to acquire emotional information from users.

[0427] "Data processing means" refers to methods for processing responses to adjust them based on acquired emotional information.

[0428] A "human interface means" is an interface method for presenting a tailored response to a user.

[0429] A "media playback method" is a technique for selecting and playing appropriate music content based on emotional information.

[0430] "Data output means" refers to a method of outputting data to present success stories tailored to the user's emotional state.

[0431] A "report generation method" is a means of analyzing emotional information and generating reports that can be used to improve the efficiency of work.

[0432] "Calculation processing means" refers to means that perform calculations to generate feedback based on the analysis results.

[0433] A "display device" is a device used to visually display generated feedback.

[0434] In implementing this invention, a system is constructed in which a server, a terminal, and a user cooperate with each other to utilize emotional information. The server first collects data in real time using a device that acquires emotional information from the user. This device may include a sensor device with voice recognition or facial expression detection capabilities. For example, a smart terminal equipped with a voice assistant function falls into this category.

[0435] Next, the server uses data processing tools to generate a response using the acquired emotional information. These tools include software that applies machine learning algorithms, specifically using emotional analysis models based on Python or TensorFlow. This analysis generates a response appropriate to the user's emotional state. This response is then presented to the user via a human interface. In the visual interface, a smartphone or tablet screen serves this role. Through interactive responses and information presentation, the user receives smooth support.

[0436] As a further example, if the terminal detects the user's stress, that data is transferred to a server, and relaxing music is suggested via a media playback device. This music is selected based on emotional data, with the aim of enhancing relaxation. Furthermore, if the user wishes to refer to past success stories, they can use a data output device to search for examples, which can then be displayed on the interface.

[0437] The following is an example of a specific generated AI prompt: "If a user expresses anxiety about the company formation process, the system will generate support information tailored to their psychological state. Specifically, it will dynamically present past success stories and play relaxing music through a music streaming service to alleviate the user's anxiety." This enables flexible and effective support based on emotional information.

[0438] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0439] Step 1:

[0440] The device acquires user voice and facial expression data using sensor devices and collects it as initial input data. This data is stored as audio files and image data.

[0441] Step 2:

[0442] The device converts collected audio data into text data using speech recognition software. This process involves inputting the audio file into a text analysis algorithm and outputting the analyzed text. Specifically, it recognizes the audio waveform, applies a language model, and converts it into human language.

[0443] Step 3:

[0444] The server inputs text and image data into an emotion analysis engine to determine the user's emotional state. This emotion analysis uses a machine learning model to analyze the data and identify the user's emotions. Specifically, this includes processes such as extracting emotional keywords from text and capturing facial features from images.

[0445] Step 4:

[0446] The server uses a generative AI model to generate appropriate responses based on the sentiment analysis results. In this generation process, sentiment data is input to the model as prompts, and response sentences and suggested responses are output. Specifically, it explores feedback and actions that correspond to the sentiment and constructs outputs based on them.

[0447] Step 5:

[0448] The server sends the generated response to the terminal and presents it to the user via the screen or speaker. Here, the response data is formatted and displayed or output as audio in a user-friendly manner. Specific operations include text-to-speech synthesis and the use of a visually intuitive interface.

[0449] 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.

[0450] 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.

[0451] 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.

[0452] [Third Embodiment]

[0453] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0454] 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.

[0455] 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).

[0456] 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.

[0457] 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.

[0458] 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).

[0459] 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.

[0460] 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.

[0461] 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.

[0462] 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.

[0463] 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.

[0464] 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".

[0465] The support system for independent care workers according to the present invention consists of a user, a terminal, and a server. It is designed to effectively support various tasks in the process of a user becoming an independent care worker, particularly a care manager.

[0466] Users access the system using their terminals and independently input necessary information such as company registration, tax procedures, care plan creation, and customer information management. This information is sent from the terminal to the server and analyzed by the server's artificial intelligence.

[0467] The server automatically generates the necessary company incorporation documents and care plans based on the input information. Company incorporation documents typically include registration documents and articles of incorporation. This simplifies complex procedures for users, allowing them to prepare the necessary documents in a short period of time.

[0468] Furthermore, the server performs advanced data analysis when creating care plans, proposing the most suitable plan for each user. In this process, it refers to past case data and relevant laws and regulations to present specific care service details tailored to the current user. In addition, the server refers to a local care service provider database to identify service providers that meet the user's needs.

[0469] Regarding customer information management, the server centrally manages user data entered by the user, allowing for information updates and deletions as needed. Furthermore, by analyzing the accumulated data and generating reports useful to users, the system provides suggestions that lead to improvements in service quality.

[0470] As a concrete example, if a care manager uses this system as a user, the care manager enters the company's address and representative information on the terminal, and the server automatically generates the necessary documents for company establishment. Subsequently, in the care plan creation stage, the care manager enters the user's current health condition and care goals, and the server generates an individualized care plan and suggests appropriate local service providers.

[0471] Thus, the system of the present invention can significantly reduce the workload of care managers when they become independent, and promote the provision of efficient and high-quality care services.

[0472] The following describes the processing flow.

[0473] Step 1:

[0474] The user logs into their device and accesses an interface to begin the company incorporation process. Here, they enter necessary information such as the company name, address, representative's name, and purpose of establishment.

[0475] Step 2:

[0476] The terminal checks the entered information, verifies that all required fields are filled in, and then sends the information to the server.

[0477] Step 3:

[0478] The server analyzes the received information and automatically generates the documents necessary for company incorporation. These generated documents include incorporation registration documents and articles of incorporation.

[0479] Step 4:

[0480] The server generates a document and sends it to the terminal, allowing the user to review its contents. The user reviews the document and makes corrections if necessary.

[0481] Step 5:

[0482] After the user has completed the verification process and the document is finalized, the terminal provides an interface to assist with the document submission process. Through this interface, the user can initiate the submission procedure to the necessary government agencies.

[0483] Step 6:

[0484] The server integrates with the electronic application system to track the submission status of documents. Users can check the submission status through their terminals.

[0485] Step 7:

[0486] If a user wishes to create a care plan, they will use a terminal to input information such as the user's health status, care needs, and goals.

[0487] Step 8:

[0488] The server analyzes this information and automatically generates the optimal care plan. The generated plan is constructed by referencing past data and similar cases.

[0489] Step 9:

[0490] The server searches for local service providers, generates a list of appropriate providers based on the care plan, and sends it to the terminal.

[0491] Step 10:

[0492] When a user requests customer information management, they use a terminal to enter new customer data and send it to the server. The server securely stores the data.

[0493] Step 11:

[0494] The server analyzes the stored information, generates reports as needed, and provides them to the user. These reports serve as guidelines for understanding customer usage trends and improving service quality.

[0495] (Example 1)

[0496] 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."

[0497] Care workers, especially those aiming for independence, face complex procedures related to company establishment, business plan creation, and administrative paperwork. Furthermore, selecting the right service providers for each client can be challenging. The challenge lies in simplifying these procedures and achieving efficient and highly accurate service delivery.

[0498] 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.

[0499] In this invention, the server includes artificial intelligence means for analyzing information and generating documents, means for generating plans by referring to past data and regulations, and means for identifying and proposing information on local service providers. This enables users to efficiently carry out procedures related to company establishment and business plan creation, and to select the most suitable service provider.

[0500] "Users" refers to care workers who use the system to aim for independence or to perform their duties.

[0501] "Input information" refers to the data that users provide to the system for establishing a corporation or creating a care plan.

[0502] "Device means" refers to the devices or interfaces that users use to input information.

[0503] "Analysis" refers to the act of processing input information using artificial intelligence and extracting and organizing the necessary data.

[0504] "Document generation" refers to the process of automatically creating formal documents based on analyzed information.

[0505] "Artificial intelligence means" refers to technologies that perform advanced data processing to intelligently analyze input information and prompt decisions.

[0506] "Preparation means" refers to the process of providing electronically generated documents in a format applicable to practical work.

[0507] "Plan generation" refers to the process of creating an optimal business plan for each individual based on collected data and legal information.

[0508] "Identification and recommendation" refers to the process by which the system selects and recommends service providers that match the user's needs.

[0509] "Management means" refers to the process of centrally organizing information and maintaining it in a form that is accessible as needed.

[0510] "Generation method" refers to a means of analyzing accumulated data and reporting useful information to users.

[0511] Modes for carrying out the invention

[0512] This support system for independent care workers is designed to enable users to efficiently establish a corporation and execute their business plans, and is primarily composed of terminals, users, and servers.

[0513] Hardware and software

[0514] The server is a computing device with high data processing capabilities that leverages a cloud-based AI platform. Specifically, it uses AI and database management systems provided by cloud service providers. The terminals are user devices such as PCs and tablets that access the server via an internet connection. Users log in to the system using a web browser or specific application and enter the necessary information.

[0515] The server utilizes a generative AI model to analyze information submitted by users. This AI model performs advanced data analysis and has the capability to automatically generate specified documents. Furthermore, the database stores past case data and relevant laws and regulations, which are used to generate care plans and identify local service providers.

[0516] Specific example

[0517] For example, when a caregiver uses the system, they input basic information about the organization into a terminal, and the server analyzes this information to automatically generate the necessary documents for establishing the organization. This process involves referencing various data to meet legal requirements. Furthermore, when the caregiver inputs the client's health information and care goals, the server uses an AI model to create an optimal care plan and provides a list of suitable service providers in the area.

[0518] Examples of prompts for generative AI models

[0519] "I want to design a system that generates the necessary documents for establishing a new corporation and suggests the most suitable care service providers in the area. First, please tell me how to automatically generate the establishment documents by inputting the corporation's location and basic information."

[0520] This system significantly reduces the complexity of tasks for care workers, enabling them to become independent quickly and efficiently, and promoting the provision of high-quality care services.

[0521] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0522] Step 1:

[0523] The user accesses the system through their device and logs in.

[0524] In terms of specific actions, the user opens a web browser, enters the system's URL, and accesses it. The user then enters their authentication information (username and password) on the login screen and is authorized to access the system.

[0525] Input: User authentication information.

[0526] Output: System access granted.

[0527] Step 2:

[0528] The user independently enters the necessary information into the device.

[0529] In terms of specific actions, the user enters company name, address, representative information, business type information, etc., into a form. In addition, they also enter the client's health information and care goals for creating a care plan.

[0530] Input: Corporate establishment information, care plan information.

[0531] Output: Input information in the format sent to the server.

[0532] Step 3:

[0533] The terminal sends user input information to the server.

[0534] Specifically, the terminal secures the entered information and transfers the data to the server using a secure communication protocol (e.g., HTTPS).

[0535] Input: Corporate establishment information and care plan information entered by the user.

[0536] Output: Input information sent to the server.

[0537] Step 4:

[0538] The server receives the input information and performs analysis.

[0539] In terms of specific operations, the server stores the received data in a database and analyzes it using a generated AI model. Information integrity checks are also performed, and classification is carried out.

[0540] Input: Information sent from the device.

[0541] Output: Analyzed information, consistency check results.

[0542] Step 5:

[0543] The server automatically generates the necessary documents for company incorporation.

[0544] Specifically, the server automatically generates the necessary documents for company establishment (e.g., registration documents, articles of incorporation) based on the analysis results and saves them in a format that the user can download (e.g., PDF).

[0545] Input: Analyzed company establishment information.

[0546] Output: Automatically generated company incorporation documents.

[0547] Step 6:

[0548] The server creates a care plan and suggests related services.

[0549] Specifically, the server uses an AI model to create an optimal care plan based on the analyzed care information, and then queries a local service provider database to generate a list of appropriate service providers.

[0550] Input: Analyzed care plan information.

[0551] Output: Generated care plan, proposed service provider list.

[0552] Step 7:

[0553] The server uses centrally managed data to generate reports.

[0554] Specifically, the server analyzes customer information in the database, generates useful reports for users, and visualizes them on a dashboard. These reports are also available for download as PDFs.

[0555] Input: User's customer information data.

[0556] Output: Generated report, visualization results on dashboard.

[0557] (Application Example 1)

[0558] 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."

[0559] In the long-term care industry, independent care workers face the problem of spending a great deal of time and effort on complex procedures such as establishing a corporation and creating care plans. Furthermore, it is difficult to easily identify appropriate service providers, and significant resources must be allocated to information management and quality improvement each time.

[0560] 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.

[0561] In this invention, the server includes communication means for receiving input information from users, artificial intelligence means for automatically generating predetermined information based on the input information, and support means for electronically transmitting or displaying the information. This significantly reduces the time and effort required for users to establish a corporation or create care plans, and enables efficient information management.

[0562] "Communication means" refers to methods and technologies for receiving input information from users and transmitting it to servers or databases.

[0563] "Artificial intelligence means" refers to technologies used to analyze input information and automatically generate predetermined information.

[0564] "Support means" refers to methods of electronically transmitting or displaying generated information so that users can easily access it.

[0565] A "data storage system" is a system that centrally manages user information and allows it to be accessed, updated, or deleted as needed.

[0566] A "report generation method" is a technology that creates and distributes reports based on accumulated information to help improve the quality of services.

[0567] The system for implementing this invention consists of a user-operated terminal, a server for data processing, and infrastructure to support communication. The terminal includes mobile information devices such as smartphones and tablets, through which the user inputs necessary information and sends it to the server. The server uses Firebase as a real-time database to achieve high-speed data reading and writing.

[0568] On the server side, data is received and processed using the Flask framework in Python. For artificial intelligence, machine learning libraries such as Scikit-learn and TensorFlow are combined to analyze information received from users and automatically generate specified documents and plans. These generated documents are provided to users in PDF or other downloadable formats.

[0569] For example, if a care worker is aiming to become independent and establish a corporation, they would input information such as the corporation name and address into a terminal. Based on this information, the server automatically generates the necessary documents, which the user can download, print, and use. Furthermore, it is easy to review the generated care plan and select the most suitable service provider from local providers.

[0570] As an example of utilizing the generative AI model, a prompt message such as "Please generate the documents required for company incorporation. The company name is XXXX, and the address is YYYY." is entered. In response, the server performs the prescribed processing and provides the desired documents to the user.

[0571] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0572] Step 1:

[0573] Users use their devices to input the necessary information for company establishment and care plan creation on the screen. This information includes the company name, address, user health information, and care goals. This input information is formatted in JSON format and sent to the server.

[0574] Step 2:

[0575] The server parses the received JSON data and extracts the necessary data items. It uses the Flask framework for analysis and stores the data in a database. Data processing involves cleaning the items and converting them into a format usable by artificial intelligence.

[0576] Step 3:

[0577] The server uses Scikit-learn or TensorFlow to analyze data and generate document content and care plans tailored to the purpose. For specific generation, it references historical data and relevant laws and regulations, and utilizes statistical analysis and machine learning models. The generated information is temporarily stored in memory.

[0578] Step 4:

[0579] The generated documents and plans are converted to PDF format. The converted files are saved to storage accessible to the user, and a download link is provided. This process utilizes Python libraries such as ReportLab.

[0580] Step 5:

[0581] The server sends the user a download link for the generated document, which is then displayed on their device. By clicking the link, the user can review the generated document and, if necessary, print or submit it. The output is presented through a visual interface.

[0582] 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.

[0583] The caregiver support system according to the present invention consists of a user, a terminal, a server, and an emotion engine. In addition to conventional document creation and plan creation support, this system aims to provide a more efficient and user-friendly service by understanding the user's emotions in real time and adjusting work accordingly.

[0584] Users access the system through their terminals and begin steps such as company registration, care plan creation, and customer data management. The terminals utilize an emotion engine to analyze the user's emotions from their voice, facial expressions, and text input. For example, if a user is feeling stressed, the emotion engine detects this state and notifies the server.

[0585] Based on the user's emotional information received from the emotion engine, the server takes appropriate action depending on the situation. For example, if a user expresses confusion during the company formation process, the server will display additional explanations or help options on the interface. Furthermore, when the emotion engine captures positive emotions from the user, the server can adjust its approach to expedite the planning and proposal processes and provide positive feedback.

[0586] As a concrete example, if the terminal detects the user's fatigue while they are creating a care plan, the server will provide support for plan creation according to the situation and automatically generate the most suitable care plan for the user. In this process, information is presented with consideration for the user's emotions, allowing the user to proceed with the plan smoothly.

[0587] Furthermore, it is possible to adjust the selection of service providers according to the user's emotions. If the user is experiencing high stress levels, priority can be given to suggesting service providers with strong support capabilities, thereby providing a greater sense of security.

[0588] Thus, a support system for independent care workers incorporating an emotional engine can reduce the workload and enable efficient operation while taking into consideration the mental state of the users.

[0589] The following describes the processing flow.

[0590] Step 1:

[0591] The user logs into the device and selects an interface for establishing a company, creating a care plan, or managing customer information.

[0592] Step 2:

[0593] The device collects user voice, facial expressions, and text input and sends the data to the emotion engine. This data includes changes in the user's speech patterns and facial expressions.

[0594] Step 3:

[0595] The emotion engine analyzes the received data and evaluates the user's emotional state in real time. Emotions such as stress, confusion, and fatigue are recognized at this stage.

[0596] Step 4:

[0597] The server receives feedback from the emotion engine and makes adjustments based on the emotional state. For example, if it indicates confusion, it sends instructions to the terminal offering additional help options to simplify the process.

[0598] Step 5:

[0599] When a user enters company registration information, the server automatically generates the necessary documents. During this process, the terminal monitors the user's emotional state and displays suggestions to reduce the user's workload.

[0600] Step 6:

[0601] In care plan creation, the server generates the optimal plan based on user information entered by the user. The emotion engine analyzes the user's emotions and adjusts the speed of plan recommendations according to the situation, providing a more positive experience.

[0602] Step 7:

[0603] When the device suggests the most suitable service provider, it customizes the suggestions by taking data from the emotion engine into consideration. For example, if fatigue is detected, it will recommend a provider with particularly excellent support.

[0604] Step 8:

[0605] During initial setup and data management, the server manages database updates and report generation based on user feedback. Sentimental data is also included as part of the reports and used for subsequent business improvements.

[0606] (Example 2)

[0607] 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."

[0608] In an aging society, the diversification and increase in care needs have led to a growing workload for care workers. Furthermore, conventional care support systems struggle to provide flexible responses tailored to the individual circumstances and emotions of users, necessitating increased efficiency and improved user satisfaction. A system is needed to address these issues and provide more individualized care support.

[0609] 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.

[0610] In this invention, the server includes an information processing device that receives input information from a user, artificial intelligence means that automatically generates a predetermined document based on the input information, means that support the procedure for electronically submitting the document, emotion analysis means that analyzes the user's voice, facial expressions, and text input to understand their emotional state, and control means that presents appropriate countermeasures based on the information from the emotion analysis means. This enables flexible responses and personalized service provision in accordance with the user's emotional state.

[0611] An "information processing device" is a device that receives input information from users and processes it appropriately.

[0612] "Artificial intelligence means" refers to technology that has a mechanism for automatically generating a predetermined document based on input information.

[0613] "Means to support procedures for electronic submission" refers to functions that assist with the procedures required when submitting generated documents online.

[0614] "Emotional analysis methods" are technologies that analyze a user's voice, facial expressions, and text input to grasp their emotional state in real time.

[0615] A "control mechanism" is a system that, based on information obtained from emotion analysis mechanisms, presents appropriate countermeasures according to the situation.

[0616] A "storage device" is a device equipped with a database function for centrally managing user information.

[0617] An "evaluation method" is a system that analyzes information in a storage device and performs evaluations and reports to improve service quality.

[0618] "Means of providing real-time feedback" refers to technologies that provide feedback quickly in response to the user's emotional state.

[0619] The system according to the present invention consists of four main elements: user, terminal, server, and emotion analysis engine. This system aims to improve efficiency in the work of care workers and enhance user satisfaction. Specific embodiments of each element are described below.

[0620] Users access the system through an information processing terminal. During this process, users can select services such as company establishment, care plan creation, and customer data management. The terminal incorporates an emotion analysis engine for analyzing voice, facial expressions, and text input. The emotion analysis engine utilizes the latest generative AI models to analyze the user's emotions in real time. This allows the system to understand the user's emotional state and provide appropriate feedback and support.

[0621] The server receives user emotions and input information sent from the terminal and determines a course of action based on this information. For example, if the server detects that the user is in a confused state, it sends instructions to the terminal to display additional explanations or help on the interface. If positive emotions are detected, it provides support to quickly proceed with the plan. The server uses a database to manage user information and maintains centralized information management.

[0622] For example, when a user is creating a care plan, if the device detects the user's fatigue level, the server automatically generates an optimal care plan and presents it to the user. This allows the user to proceed with the plan smoothly and reduces their workload. By utilizing a generation AI model and providing real-time, emotion-responsive feedback, highly personalized service delivery becomes possible.

[0623] As an example of a prompt, the system processes an instruction such as, "Analyze the user's emotions regarding the current task and suggest appropriate support," which allows for the rapid presentation of solutions.

[0624] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0625] Step 1:

[0626] The user logs into the system using an information processing terminal. The user enters authentication information (user ID and password) during login. The terminal authenticates the user by sending this authentication information to the server. The server verifies the entered authentication information, and if successful, outputs data to the terminal to display the user's dashboard.

[0627] Step 2:

[0628] The user selects available services, such as company establishment or care plan creation. Based on the user's selection, the device provides information such as voice input, facial expressions, and text input to the emotion analysis engine. The emotion analysis engine uses this data to analyze the user's emotions using a generative AI model. The analysis results are output to the device as data representing the user's emotional state.

[0629] Step 3:

[0630] The terminal sends emotion data obtained from the emotion analysis engine to the server. The server determines the appropriate course of action based on the received emotion data and the user's selected service information. For example, if the user is identified as confused, the server instructs the terminal to display additional explanations or help options on the interface. The necessary explanatory data is then sent to the terminal.

[0631] Step 4:

[0632] The user can review the displayed interface and request additional services or assistance as needed. The terminal sends the additional request to the server. The server then receives the user's request and outputs data to the terminal to provide the appropriate information or services.

[0633] Step 5:

[0634] The server automatically generates optimized care plans, taking into account the user's emotions and input, when providing specific services such as creating care plans. The generated plans are sent to the terminal and displayed on the user's screen. This allows the user to carry out their tasks efficiently.

[0635] (Application Example 2)

[0636] 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."

[0637] To improve the efficiency of care workers and support their independence, it is crucial to accurately understand the emotional state of service users and provide appropriate support. However, traditional methods make it difficult to analyze service users' emotions in real time and provide support accordingly, hindering efficient and user-friendly support. Solving these challenges is essential.

[0638] 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.

[0639] In this invention, the server includes a device for acquiring emotional information from the user, data processing means for adjusting the response based on the emotional information, and human interface means for presenting the response to the user. This makes it possible to grasp the user's emotional state in real time and to quickly provide appropriate support according to that state.

[0640] A "device" is a machine used to acquire emotional information from users.

[0641] "Data processing means" refers to methods for processing responses to adjust them based on acquired emotional information.

[0642] A "human interface means" is an interface method for presenting a tailored response to a user.

[0643] A "media playback method" is a technique for selecting and playing appropriate music content based on emotional information.

[0644] "Data output means" refers to a method of outputting data to present success stories tailored to the user's emotional state.

[0645] A "report generation method" is a means of analyzing emotional information and generating reports that can be used to improve the efficiency of work.

[0646] "Calculation processing means" refers to means that perform calculations to generate feedback based on the analysis results.

[0647] A "display device" is a device used to visually display generated feedback.

[0648] In implementing this invention, a system is constructed in which a server, a terminal, and a user cooperate with each other to utilize emotional information. The server first collects data in real time using a device that acquires emotional information from the user. This device may include a sensor device with voice recognition or facial expression detection capabilities. For example, a smart terminal equipped with a voice assistant function falls into this category.

[0649] Next, the server uses data processing tools to generate a response using the acquired emotional information. These tools include software that applies machine learning algorithms, specifically using emotional analysis models based on Python or TensorFlow. This analysis generates a response appropriate to the user's emotional state. This response is then presented to the user via a human interface. In the visual interface, a smartphone or tablet screen serves this role. Through interactive responses and information presentation, the user receives smooth support.

[0650] As a further example, if the terminal detects the user's stress, that data is transferred to a server, and relaxing music is suggested via a media playback device. This music is selected based on emotional data, with the aim of enhancing relaxation. Furthermore, if the user wishes to refer to past success stories, they can use a data output device to search for examples, which can then be displayed on the interface.

[0651] The following is an example of a specific generated AI prompt: "If a user expresses anxiety about the company formation process, the system will generate support information tailored to their psychological state. Specifically, it will dynamically present past success stories and play relaxing music through a music streaming service to alleviate the user's anxiety." This enables flexible and effective support based on emotional information.

[0652] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0653] Step 1:

[0654] The device acquires user voice and facial expression data using sensor devices and collects it as initial input data. This data is stored as audio files and image data.

[0655] Step 2:

[0656] The device converts collected audio data into text data using speech recognition software. This process involves inputting the audio file into a text analysis algorithm and outputting the analyzed text. Specifically, it recognizes the audio waveform, applies a language model, and converts it into human language.

[0657] Step 3:

[0658] The server inputs text and image data into an emotion analysis engine to determine the user's emotional state. This emotion analysis uses a machine learning model to analyze the data and identify the user's emotions. Specifically, this includes processes such as extracting emotional keywords from text and capturing facial features from images.

[0659] Step 4:

[0660] The server uses a generative AI model to generate appropriate responses based on the sentiment analysis results. In this generation process, sentiment data is input to the model as prompts, and response sentences and suggested responses are output. Specifically, it explores feedback and actions that correspond to the sentiment and constructs outputs based on them.

[0661] Step 5:

[0662] The server sends the generated response to the terminal and presents it to the user via the screen or speaker. Here, the response data is formatted and displayed or output as audio in a user-friendly manner. Specific operations include text-to-speech synthesis and the use of a visually intuitive interface.

[0663] 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.

[0664] 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.

[0665] 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.

[0666] [Fourth Embodiment]

[0667] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0668] 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.

[0669] 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).

[0670] 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.

[0671] 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.

[0672] 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).

[0673] 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.

[0674] 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.

[0675] 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.

[0676] 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.

[0677] 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.

[0678] 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.

[0679] 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".

[0680] The support system for independent care workers according to the present invention consists of a user, a terminal, and a server. It is designed to effectively support various tasks in the process of a user becoming an independent care worker, particularly a care manager.

[0681] Users access the system using their terminals and independently input necessary information such as company registration, tax procedures, care plan creation, and customer information management. This information is sent from the terminal to the server and analyzed by the server's artificial intelligence.

[0682] The server automatically generates the necessary company incorporation documents and care plans based on the input information. Company incorporation documents typically include registration documents and articles of incorporation. This simplifies complex procedures for users, allowing them to prepare the necessary documents in a short period of time.

[0683] Furthermore, the server performs advanced data analysis when creating care plans, proposing the most suitable plan for each user. In this process, it refers to past case data and relevant laws and regulations to present specific care service details tailored to the current user. In addition, the server refers to a local care service provider database to identify service providers that meet the user's needs.

[0684] Regarding customer information management, the server centrally manages user data entered by the user, allowing for information updates and deletions as needed. Furthermore, by analyzing the accumulated data and generating reports useful to users, the system provides suggestions that lead to improvements in service quality.

[0685] As a concrete example, if a care manager uses this system as a user, the care manager enters the company's address and representative information on the terminal, and the server automatically generates the necessary documents for company establishment. Subsequently, in the care plan creation stage, the care manager enters the user's current health condition and care goals, and the server generates an individualized care plan and suggests appropriate local service providers.

[0686] Thus, the system of the present invention can significantly reduce the workload of care managers when they become independent, and promote the provision of efficient and high-quality care services.

[0687] The following describes the processing flow.

[0688] Step 1:

[0689] The user logs into their device and accesses an interface to begin the company incorporation process. Here, they enter necessary information such as the company name, address, representative's name, and purpose of establishment.

[0690] Step 2:

[0691] The terminal checks the entered information, verifies that all required fields are filled in, and then sends the information to the server.

[0692] Step 3:

[0693] The server analyzes the received information and automatically generates the documents necessary for company incorporation. These generated documents include incorporation registration documents and articles of incorporation.

[0694] Step 4:

[0695] The server generates a document and sends it to the terminal, allowing the user to review its contents. The user reviews the document and makes corrections if necessary.

[0696] Step 5:

[0697] After the user has completed the verification process and the document is finalized, the terminal provides an interface to assist with the document submission process. Through this interface, the user can initiate the submission procedure to the necessary government agencies.

[0698] Step 6:

[0699] The server integrates with the electronic application system to track the submission status of documents. Users can check the submission status through their terminals.

[0700] Step 7:

[0701] If a user wishes to create a care plan, they will use a terminal to input information such as the user's health status, care needs, and goals.

[0702] Step 8:

[0703] The server analyzes this information and automatically generates the optimal care plan. The generated plan is constructed by referencing past data and similar cases.

[0704] Step 9:

[0705] The server searches for local service providers, generates a list of appropriate providers based on the care plan, and sends it to the terminal.

[0706] Step 10:

[0707] When a user requests customer information management, they use a terminal to enter new customer data and send it to the server. The server securely stores the data.

[0708] Step 11:

[0709] The server analyzes the stored information, generates reports as needed, and provides them to the user. These reports serve as guidelines for understanding customer usage trends and improving service quality.

[0710] (Example 1)

[0711] 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".

[0712] Care workers, especially those aiming for independence, face complex procedures related to company establishment, business plan creation, and administrative paperwork. Furthermore, selecting the right service providers for each client can be challenging. The challenge lies in simplifying these procedures and achieving efficient and highly accurate service delivery.

[0713] 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.

[0714] In this invention, the server includes artificial intelligence means for analyzing information and generating documents, means for generating plans by referring to past data and regulations, and means for identifying and proposing information on local service providers. This enables users to efficiently carry out procedures related to company establishment and business plan creation, and to select the most suitable service provider.

[0715] "Users" refers to care workers who use the system to aim for independence or to perform their duties.

[0716] "Input information" refers to the data that users provide to the system for establishing a corporation or creating a care plan.

[0717] "Device means" refers to the devices or interfaces that users use to input information.

[0718] "Analysis" refers to the act of processing input information using artificial intelligence and extracting and organizing the necessary data.

[0719] "Document generation" refers to the process of automatically creating formal documents based on analyzed information.

[0720] "Artificial intelligence means" refers to technologies that perform advanced data processing to intelligently analyze input information and prompt decisions.

[0721] "Preparation means" refers to the process of providing electronically generated documents in a format applicable to practical work.

[0722] "Plan generation" refers to the process of creating an optimal business plan for each individual based on collected data and legal information.

[0723] "Identification and recommendation" refers to the process by which the system selects and recommends service providers that match the user's needs.

[0724] "Management means" refers to the process of centrally organizing information and maintaining it in a form that is accessible as needed.

[0725] "Generation method" refers to a means of analyzing accumulated data and reporting useful information to users.

[0726] Modes for carrying out the invention

[0727] This support system for independent care workers is designed to enable users to efficiently establish a corporation and execute their business plans, and is primarily composed of terminals, users, and servers.

[0728] Hardware and software

[0729] The server is a computing device with high data processing capabilities that leverages a cloud-based AI platform. Specifically, it uses AI and database management systems provided by cloud service providers. The terminals are user devices such as PCs and tablets that access the server via an internet connection. Users log in to the system using a web browser or specific application and enter the necessary information.

[0730] The server utilizes a generative AI model to analyze information submitted by users. This AI model performs advanced data analysis and has the capability to automatically generate specified documents. Furthermore, the database stores past case data and relevant laws and regulations, which are used to generate care plans and identify local service providers.

[0731] Specific example

[0732] For example, when a caregiver uses the system, they input basic information about the organization into a terminal, and the server analyzes this information to automatically generate the necessary documents for establishing the organization. This process involves referencing various data to meet legal requirements. Furthermore, when the caregiver inputs the client's health information and care goals, the server uses an AI model to create an optimal care plan and provides a list of suitable service providers in the area.

[0733] Examples of prompts for generative AI models

[0734] "I want to design a system that generates the necessary documents for establishing a new corporation and suggests the most suitable care service providers in the area. First, please tell me how to automatically generate the establishment documents by inputting the corporation's location and basic information."

[0735] This system significantly reduces the complexity of tasks for care workers, enabling them to become independent quickly and efficiently, and promoting the provision of high-quality care services.

[0736] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0737] Step 1:

[0738] The user accesses the system through their device and logs in.

[0739] In terms of specific actions, the user opens a web browser, enters the system's URL, and accesses it. The user then enters their authentication information (username and password) on the login screen and is authorized to access the system.

[0740] Input: User authentication information.

[0741] Output: System access granted.

[0742] Step 2:

[0743] The user independently enters the necessary information into the device.

[0744] In terms of specific actions, the user enters company name, address, representative information, business type information, etc., into a form. In addition, they also enter the client's health information and care goals for creating a care plan.

[0745] Input: Corporate establishment information, care plan information.

[0746] Output: Input information in the format sent to the server.

[0747] Step 3:

[0748] The terminal sends user input information to the server.

[0749] Specifically, the terminal secures the entered information and transfers the data to the server using a secure communication protocol (e.g., HTTPS).

[0750] Input: Corporate establishment information and care plan information entered by the user.

[0751] Output: Input information sent to the server.

[0752] Step 4:

[0753] The server receives the input information and performs analysis.

[0754] In terms of specific operations, the server stores the received data in a database and analyzes it using a generated AI model. Information integrity checks are also performed, and classification is carried out.

[0755] Input: Information sent from the device.

[0756] Output: Analyzed information, consistency check results.

[0757] Step 5:

[0758] The server automatically generates the necessary documents for company incorporation.

[0759] Specifically, the server automatically generates the necessary documents for company establishment (e.g., registration documents, articles of incorporation) based on the analysis results and saves them in a format that the user can download (e.g., PDF).

[0760] Input: Analyzed company establishment information.

[0761] Output: Automatically generated company incorporation documents.

[0762] Step 6:

[0763] The server creates a care plan and suggests related services.

[0764] Specifically, the server uses an AI model to create an optimal care plan based on the analyzed care information, and then queries a local service provider database to generate a list of appropriate service providers.

[0765] Input: Analyzed care plan information.

[0766] Output: Generated care plan, proposed service provider list.

[0767] Step 7:

[0768] The server uses centrally managed data to generate reports.

[0769] Specifically, the server analyzes customer information in the database, generates useful reports for users, and visualizes them on a dashboard. These reports are also available for download as PDFs.

[0770] Input: User's customer information data.

[0771] Output: Generated report, visualization results on dashboard.

[0772] (Application Example 1)

[0773] 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".

[0774] In the long-term care industry, independent care workers face the problem of spending a great deal of time and effort on complex procedures such as establishing a corporation and creating care plans. Furthermore, it is difficult to easily identify appropriate service providers, and significant resources must be allocated to information management and quality improvement each time.

[0775] 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.

[0776] In this invention, the server includes communication means for receiving input information from users, artificial intelligence means for automatically generating predetermined information based on the input information, and support means for electronically transmitting or displaying the information. This significantly reduces the time and effort required for users to establish a corporation or create care plans, and enables efficient information management.

[0777] "Communication means" refers to methods and technologies for receiving input information from users and transmitting it to servers or databases.

[0778] "Artificial intelligence means" refers to technologies used to analyze input information and automatically generate predetermined information.

[0779] "Support means" refers to methods of electronically transmitting or displaying generated information so that users can easily access it.

[0780] A "data storage system" is a system that centrally manages user information and allows it to be accessed, updated, or deleted as needed.

[0781] A "report generation method" is a technology that creates and distributes reports based on accumulated information to help improve the quality of services.

[0782] The system for implementing this invention consists of a user-operated terminal, a server for data processing, and infrastructure to support communication. The terminal includes mobile information devices such as smartphones and tablets, through which the user inputs necessary information and sends it to the server. The server uses Firebase as a real-time database to achieve high-speed data reading and writing.

[0783] On the server side, data is received and processed using the Flask framework in Python. For artificial intelligence, machine learning libraries such as Scikit-learn and TensorFlow are combined to analyze information received from users and automatically generate specified documents and plans. These generated documents are provided to users in PDF or other downloadable formats.

[0784] For example, if a care worker is aiming to become independent and establish a corporation, they would input information such as the corporation name and address into a terminal. Based on this information, the server automatically generates the necessary documents, which the user can download, print, and use. Furthermore, it is easy to review the generated care plan and select the most suitable service provider from local providers.

[0785] As an example of utilizing the generative AI model, a prompt message such as "Please generate the documents required for company incorporation. The company name is XXXX, and the address is YYYY." is entered. In response, the server performs the prescribed processing and provides the desired documents to the user.

[0786] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0787] Step 1:

[0788] Users use their devices to input the necessary information for company establishment and care plan creation on the screen. This information includes the company name, address, user health information, and care goals. This input information is formatted in JSON format and sent to the server.

[0789] Step 2:

[0790] The server parses the received JSON data and extracts the necessary data items. It uses the Flask framework for analysis and stores the data in a database. Data processing involves cleaning the items and converting them into a format usable by artificial intelligence.

[0791] Step 3:

[0792] The server uses Scikit-learn or TensorFlow to analyze data and generate document content and care plans tailored to the purpose. For specific generation, it references historical data and relevant laws and regulations, and utilizes statistical analysis and machine learning models. The generated information is temporarily stored in memory.

[0793] Step 4:

[0794] The generated documents and plans are converted to PDF format. The converted files are saved to storage accessible to the user, and a download link is provided. This process utilizes Python libraries such as ReportLab.

[0795] Step 5:

[0796] The server sends the user a download link for the generated document, which is then displayed on their device. By clicking the link, the user can review the generated document and, if necessary, print or submit it. The output is presented through a visual interface.

[0797] 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.

[0798] The caregiver support system according to the present invention consists of a user, a terminal, a server, and an emotion engine. In addition to conventional document creation and plan creation support, this system aims to provide a more efficient and user-friendly service by understanding the user's emotions in real time and adjusting work accordingly.

[0799] Users access the system through their terminals and begin steps such as company registration, care plan creation, and customer data management. The terminals utilize an emotion engine to analyze the user's emotions from their voice, facial expressions, and text input. For example, if a user is feeling stressed, the emotion engine detects this state and notifies the server.

[0800] Based on the user's emotional information received from the emotion engine, the server takes appropriate action depending on the situation. For example, if a user expresses confusion during the company formation process, the server will display additional explanations or help options on the interface. Furthermore, when the emotion engine captures positive emotions from the user, the server can adjust its approach to expedite the planning and proposal processes and provide positive feedback.

[0801] As a concrete example, if the terminal detects the user's fatigue while they are creating a care plan, the server will provide support for plan creation according to the situation and automatically generate the most suitable care plan for the user. In this process, information is presented with consideration for the user's emotions, allowing the user to proceed with the plan smoothly.

[0802] Furthermore, it is possible to adjust the selection of service providers according to the user's emotions. If the user is experiencing high stress levels, priority can be given to suggesting service providers with strong support capabilities, thereby providing a greater sense of security.

[0803] Thus, a support system for independent care workers incorporating an emotional engine can reduce the workload and enable efficient operation while taking into consideration the mental state of the users.

[0804] The following describes the processing flow.

[0805] Step 1:

[0806] The user logs into the device and selects an interface for establishing a company, creating a care plan, or managing customer information.

[0807] Step 2:

[0808] The device collects user voice, facial expressions, and text input and sends the data to the emotion engine. This data includes changes in the user's speech patterns and facial expressions.

[0809] Step 3:

[0810] The emotion engine analyzes the received data and evaluates the user's emotional state in real time. Emotions such as stress, confusion, and fatigue are recognized at this stage.

[0811] Step 4:

[0812] The server receives feedback from the emotion engine and makes adjustments based on the emotional state. For example, if it indicates confusion, it sends instructions to the terminal offering additional help options to simplify the process.

[0813] Step 5:

[0814] When a user enters company registration information, the server automatically generates the necessary documents. During this process, the terminal monitors the user's emotional state and displays suggestions to reduce the user's workload.

[0815] Step 6:

[0816] In care plan creation, the server generates the optimal plan based on user information entered by the user. The emotion engine analyzes the user's emotions and adjusts the speed of plan recommendations according to the situation, providing a more positive experience.

[0817] Step 7:

[0818] When the device suggests the most suitable service provider, it customizes the suggestions by taking data from the emotion engine into consideration. For example, if fatigue is detected, it will recommend a provider with particularly excellent support.

[0819] Step 8:

[0820] During initial setup and data management, the server manages database updates and report generation based on user feedback. Sentimental data is also included as part of the reports and used for subsequent business improvements.

[0821] (Example 2)

[0822] 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".

[0823] In an aging society, the diversification and increase in care needs have led to a growing workload for care workers. Furthermore, conventional care support systems struggle to provide flexible responses tailored to the individual circumstances and emotions of users, necessitating increased efficiency and improved user satisfaction. A system is needed to address these issues and provide more individualized care support.

[0824] 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.

[0825] In this invention, the server includes an information processing device that receives input information from a user, artificial intelligence means that automatically generates a predetermined document based on the input information, means that support the procedure for electronically submitting the document, emotion analysis means that analyzes the user's voice, facial expressions, and text input to understand their emotional state, and control means that presents appropriate countermeasures based on the information from the emotion analysis means. This enables flexible responses and personalized service provision in accordance with the user's emotional state.

[0826] An "information processing device" is a device that receives input information from users and processes it appropriately.

[0827] "Artificial intelligence means" refers to technology that has a mechanism for automatically generating a predetermined document based on input information.

[0828] "Means to support procedures for electronic submission" refers to functions that assist with the procedures required when submitting generated documents online.

[0829] "Emotional analysis methods" are technologies that analyze a user's voice, facial expressions, and text input to grasp their emotional state in real time.

[0830] A "control mechanism" is a system that, based on information obtained from emotion analysis mechanisms, presents appropriate countermeasures according to the situation.

[0831] A "storage device" is a device equipped with a database function for centrally managing user information.

[0832] An "evaluation method" is a system that analyzes information in a storage device and performs evaluations and reports to improve service quality.

[0833] "Means of providing real-time feedback" refers to technologies that provide feedback quickly in response to the user's emotional state.

[0834] The system according to the present invention consists of four main elements: user, terminal, server, and emotion analysis engine. This system aims to improve efficiency in the work of care workers and enhance user satisfaction. Specific embodiments of each element are described below.

[0835] Users access the system through an information processing terminal. During this process, users can select services such as company establishment, care plan creation, and customer data management. The terminal incorporates an emotion analysis engine for analyzing voice, facial expressions, and text input. The emotion analysis engine utilizes the latest generative AI models to analyze the user's emotions in real time. This allows the system to understand the user's emotional state and provide appropriate feedback and support.

[0836] The server receives user emotions and input information sent from the terminal and determines a course of action based on this information. For example, if the server detects that the user is in a confused state, it sends instructions to the terminal to display additional explanations or help on the interface. If positive emotions are detected, it provides support to quickly proceed with the plan. The server uses a database to manage user information and maintains centralized information management.

[0837] For example, when a user is creating a care plan, if the device detects the user's fatigue level, the server automatically generates an optimal care plan and presents it to the user. This allows the user to proceed with the plan smoothly and reduces their workload. By utilizing a generation AI model and providing real-time, emotion-responsive feedback, highly personalized service delivery becomes possible.

[0838] As an example of a prompt, the system processes an instruction such as, "Analyze the user's emotions regarding the current task and suggest appropriate support," which allows for the rapid presentation of solutions.

[0839] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0840] Step 1:

[0841] The user logs into the system using an information processing terminal. The user enters authentication information (user ID and password) during login. The terminal authenticates the user by sending this authentication information to the server. The server verifies the entered authentication information, and if successful, outputs data to the terminal to display the user's dashboard.

[0842] Step 2:

[0843] The user selects available services, such as company establishment or care plan creation. Based on the user's selection, the device provides information such as voice input, facial expressions, and text input to the emotion analysis engine. The emotion analysis engine uses this data to analyze the user's emotions using a generative AI model. The analysis results are output to the device as data representing the user's emotional state.

[0844] Step 3:

[0845] The terminal sends emotion data obtained from the emotion analysis engine to the server. The server determines the appropriate course of action based on the received emotion data and the user's selected service information. For example, if the user is identified as confused, the server instructs the terminal to display additional explanations or help options on the interface. The necessary explanatory data is then sent to the terminal.

[0846] Step 4:

[0847] The user can review the displayed interface and request additional services or assistance as needed. The terminal sends the additional request to the server. The server then receives the user's request and outputs data to the terminal to provide the appropriate information or services.

[0848] Step 5:

[0849] The server automatically generates optimized care plans, taking into account the user's emotions and input, when providing specific services such as creating care plans. The generated plans are sent to the terminal and displayed on the user's screen. This allows the user to carry out their tasks efficiently.

[0850] (Application Example 2)

[0851] 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".

[0852] To improve the efficiency of care workers and support their independence, it is crucial to accurately understand the emotional state of service users and provide appropriate support. However, traditional methods make it difficult to analyze service users' emotions in real time and provide support accordingly, hindering efficient and user-friendly support. Solving these challenges is essential.

[0853] 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.

[0854] In this invention, the server includes a device for acquiring emotional information from the user, data processing means for adjusting the response based on the emotional information, and human interface means for presenting the response to the user. This makes it possible to grasp the user's emotional state in real time and to quickly provide appropriate support according to that state.

[0855] A "device" is a machine used to acquire emotional information from users.

[0856] "Data processing means" refers to methods for processing responses to adjust them based on acquired emotional information.

[0857] A "human interface means" is an interface method for presenting a tailored response to a user.

[0858] A "media playback method" is a technique for selecting and playing appropriate music content based on emotional information.

[0859] "Data output means" refers to a method of outputting data to present success stories tailored to the user's emotional state.

[0860] A "report generation method" is a means of analyzing emotional information and generating reports that can be used to improve the efficiency of work.

[0861] "Calculation processing means" refers to means that perform calculations to generate feedback based on the analysis results.

[0862] A "display device" is a device used to visually display generated feedback.

[0863] In implementing this invention, a system is constructed in which a server, a terminal, and a user cooperate with each other to utilize emotional information. The server first collects data in real time using a device that acquires emotional information from the user. This device may include a sensor device with voice recognition or facial expression detection capabilities. For example, a smart terminal equipped with a voice assistant function falls into this category.

[0864] Next, the server uses data processing tools to generate a response using the acquired emotional information. These tools include software that applies machine learning algorithms, specifically using emotional analysis models based on Python or TensorFlow. This analysis generates a response appropriate to the user's emotional state. This response is then presented to the user via a human interface. In the visual interface, a smartphone or tablet screen serves this role. Through interactive responses and information presentation, the user receives smooth support.

[0865] As a further example, if the terminal detects the user's stress, that data is transferred to a server, and relaxing music is suggested via a media playback device. This music is selected based on emotional data, with the aim of enhancing relaxation. Furthermore, if the user wishes to refer to past success stories, they can use a data output device to search for examples, which can then be displayed on the interface.

[0866] The following is an example of a specific generated AI prompt: "If a user expresses anxiety about the company formation process, the system will generate support information tailored to their psychological state. Specifically, it will dynamically present past success stories and play relaxing music through a music streaming service to alleviate the user's anxiety." This enables flexible and effective support based on emotional information.

[0867] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0868] Step 1:

[0869] The device acquires user voice and facial expression data using sensor devices and collects it as initial input data. This data is stored as audio files and image data.

[0870] Step 2:

[0871] The device converts collected audio data into text data using speech recognition software. This process involves inputting the audio file into a text analysis algorithm and outputting the analyzed text. Specifically, it recognizes the audio waveform, applies a language model, and converts it into human language.

[0872] Step 3:

[0873] The server inputs text and image data into an emotion analysis engine to determine the user's emotional state. This emotion analysis uses a machine learning model to analyze the data and identify the user's emotions. Specifically, this includes processes such as extracting emotional keywords from text and capturing facial features from images.

[0874] Step 4:

[0875] The server uses a generative AI model to generate appropriate responses based on the sentiment analysis results. In this generation process, sentiment data is input to the model as prompts, and response sentences and suggested responses are output. Specifically, it explores feedback and actions that correspond to the sentiment and constructs outputs based on them.

[0876] Step 5:

[0877] The server sends the generated response to the terminal and presents it to the user via the screen or speaker. Here, the response data is formatted and displayed or output as audio in a user-friendly manner. Specific operations include text-to-speech synthesis and the use of a visually intuitive interface.

[0878] 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.

[0879] 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.

[0880] 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.

[0881] 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.

[0882] 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.

[0883] 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.

[0884] 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.

[0885] 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.

[0886] 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."

[0887] 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.

[0888] 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.

[0889] 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.

[0890] 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.

[0891] 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.

[0892] 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.

[0893] 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.

[0894] 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.

[0895] 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.

[0896] 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.

[0897] 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.

[0898] 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.

[0899] The following is further disclosed regarding the embodiments described above.

[0900] (Claim 1)

[0901] A terminal that receives input information from the user,

[0902] An artificial intelligence means for automatically generating a predetermined document based on the aforementioned input information,

[0903] A means to support the process of submitting the aforementioned documents electronically,

[0904] A system that includes this.

[0905] (Claim 2)

[0906] A means of automatically generating an optimal plan based on information provided by the user,

[0907] Means for identifying service providers who make proposals regarding the aforementioned plan,

[0908] The system according to claim 1, including the following:

[0909] (Claim 3)

[0910] A database for centrally managing user information,

[0911] Means for referencing, editing, or deleting information from the aforementioned database,

[0912] A means of reporting the aforementioned information to help improve service quality,

[0913] The system according to claim 1, including the following:

[0914] "Example 1"

[0915] (Claim 1)

[0916] A device means for receiving input information from the user,

[0917] An artificial intelligence means for analyzing the aforementioned input information and generating a document,

[0918] Means for electronically preparing the aforementioned generated documents,

[0919] Means for generating a plan by referring to past data and regulations,

[0920] A means of identifying and proposing information on local service providers,

[0921] A management method for centrally organizing information,

[0922] A generation means for providing reports to users,

[0923] A system that includes this.

[0924] (Claim 2)

[0925] The system according to claim 1 that automatically generates the information necessary for establishing a corporation.

[0926] (Claim 3)

[0927] The system according to claim 1, which performs information analysis to optimize service provision.

[0928] "Application Example 1"

[0929] (Claim 1)

[0930] A means of receiving input information from the user,

[0931] An artificial intelligence means that automatically generates predetermined information based on the aforementioned input information,

[0932] Support means for electronically transmitting or displaying the aforementioned information,

[0933] A means of providing information to users in a downloadable format through the aforementioned support means,

[0934] An information processing system that includes this.

[0935] (Claim 2)

[0936] A means of automatically generating an optimal plan based on information provided by the user and providing it in an electronically downloadable format,

[0937] A means of identifying and notifying service providers who make proposals related to the aforementioned plan,

[0938] The information processing system according to claim 1, including the following:

[0939] (Claim 3)

[0940] A data storage method for centrally managing user information,

[0941] Means that enable accessing, updating, or deleting information from the aforementioned storage means,

[0942] A means for generating and distributing reports for quality improvement based on the aforementioned information,

[0943] The information processing system according to claim 1, including the following:

[0944] "Example 2 of combining an emotion engine"

[0945] (Claim 1)

[0946] An information processing device that receives input information from the user,

[0947] An artificial intelligence means that automatically generates a predetermined document based on the aforementioned input information,

[0948] Means to support the procedure for submitting the aforementioned documents electronically,

[0949] An emotion analysis method that analyzes the user's voice, facial expressions, and text input to understand their emotional state,

[0950] A control means that presents appropriate countermeasures based on information from the emotion analysis means,

[0951] A system that includes this.

[0952] (Claim 2)

[0953] A means of automatically generating an optimal plan based on information provided by the user,

[0954] Means for identifying the services to be provided that make proposals regarding the aforementioned plan,

[0955] A means of adjusting the selection of services provided based on the emotional state of the user,

[0956] The system according to claim 1, including the following:

[0957] (Claim 3)

[0958] A storage device for centrally managing user information,

[0959] Means for accessing, editing, or deleting information from the aforementioned storage device,

[0960] The aforementioned information is analyzed and used as an evaluation tool to improve service quality,

[0961] A means of providing real-time feedback based on user emotions,

[0962] The system according to claim 1, including the following:

[0963] "Application example 2 when combining with an emotional engine"

[0964] (Claim 1)

[0965] A device for acquiring emotional information from users,

[0966] Data processing means for adjusting the response based on the aforementioned emotional information,

[0967] A human interface means for presenting the aforementioned response to the user,

[0968] A system that includes this.

[0969] (Claim 2)

[0970] A media playback method for selecting appropriate music content based on emotional information,

[0971] A data output method for presenting success stories tailored to the user's emotional state,

[0972] The system according to claim 1, including the following:

[0973] (Claim 3)

[0974] A means of generating reports that analyze emotional information and use it to improve work efficiency,

[0975] A calculation processing means for generating feedback based on the analysis results,

[0976] A display device for visually displaying the aforementioned feedback,

[0977] The system according to claim 1, including the following: [Explanation of Symbols]

[0978] 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. A means of receiving input information from the user, An artificial intelligence means that automatically generates predetermined information based on the aforementioned input information, Support means for electronically transmitting or displaying the aforementioned information, A means of providing information to users in a downloadable format through the aforementioned support means, An information processing system that includes this.

2. A means of automatically generating an optimal plan based on information provided by the user and providing it in an electronically downloadable format, A means of identifying and notifying service providers who make proposals related to the aforementioned plan, The information processing system according to claim 1, including the following:

3. A data storage method for centrally managing user information, Means that enable accessing, updating, or deleting information from the aforementioned storage means, A means for generating and distributing reports for quality improvement based on the aforementioned information, The information processing system according to claim 1, including the following:

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