system

Abstract

We provide the system. [Solution] An input method for entering the user's basic information, An analytical means for analyzing input information and identifying appropriate services, A means of displaying a list of identified services and allowing the user to select one, A flow generation method that guides users through the procedures required to use the selected service, A means of collaboration for sharing information with care managers, A means of checking the status of users periodically and obtaining update information, A system that includes this.

Description

Technical Field

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In an aging society, the cases where care is suddenly needed are increasing, and the lack of information about available care services and subsidies has become a problem. For this reason, there is a problem that caregivers bear a great burden both mentally and physically without receiving the necessary support. In addition, the procedures for specifying and quickly and smoothly using appropriate services according to the situation of users are complicated. Furthermore, there is also a problem that the means of information sharing with care managers are limited, and the maximum utilization of care services cannot be achieved.

Means for Solving the Problems

[0005] This invention provides a system that collects basic information about care from users, analyzes it, and identifies and proposes available care services and subsidies. This allows users to easily select the most suitable services. Furthermore, it provides a means for generating a flow chart that guides users through the application process for the selected services, and supports their use by displaying the necessary procedures in a visually appealing way. In addition, it includes a means for sharing information with care managers, and by conveying information about the user's situation and requests to relevant parties, it promotes appropriate care support. Regular status checks allow for continuous understanding of the user's needs and the provision of emotional support as well.

[0006] An "input method" is an interface that allows users to input and record basic information about their own caregiving needs into the application.

[0007] "Analysis tools" refer to functions that analyze collected user information and identify appropriate care services and subsidies based on that information.

[0008] A "presentation means" is a function that visually displays a list of services identified by the analysis means to the user and provides them in a selectable format.

[0009] A "flow generation method" is a function that guides users through the specific procedures and necessary documents for using the selected care services.

[0010] "Collaboration means" refers to a function for sharing user care information and selected service information with care managers and other relevant parties.

[0011] A "status check mechanism" is a function that periodically checks the user's status and prompts information updates as needed. [Brief explanation of the drawing]

[0012] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0013] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0016] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0018] In the following embodiments, the labeled communication I / F (Interface) is an interface that includes a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like.

[0019] 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."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] 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.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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".

[0033] This invention is a support system for utilizing care services and subsidies, and primarily includes functions for user information input, information analysis, service proposals, information sharing with care managers, and periodic status checks.

[0034] The system operates primarily by having the user install the application and input basic information such as their care level and income. This user information is verified in real time via the terminal and transmitted to the server. The server analyzes the received data to identify appropriate care services and subsidies. This analysis utilizes a generative AI model to provide optimal suggestions based on the user's situation. For example, it might prioritize listing home care and day services available in a specific area.

[0035] The presentation method displays the analyzed service information in a list on the terminal, allowing the user to select the services they are interested in. Based on the selections, the server generates a more detailed usage flow and sends it to the terminal in a visually and intuitively understandable format. This helps the user proceed with the process smoothly.

[0036] Furthermore, users can choose to share information from their device with their care manager as needed. The server compiles the necessary information and sends it to the care manager in a secure manner. This allows users to receive more comprehensive care support.

[0037] Furthermore, the server periodically monitors the user's status to identify new needs and the need for support. Users can receive advice and information about new care services through their devices. For example, if an elderly user needs to re-evaluate their home care services and consider new options, they will be automatically notified and provided with support to encourage their use.

[0038] Overall, this invention is a system that simplifies the cumbersome procedures related to caregiving and supports users in efficiently and accurately receiving the services they need.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] The user launches the application and enters basic information such as care level, income, and family structure. The terminal verifies the entered data in real time and prepares to send it to the server.

[0042] Step 2:

[0043] The terminal sends user input data to the server. The server analyzes the received information and uses a generated AI model to identify appropriate care services and subsidies.

[0044] Step 3:

[0045] The server generates a list of available services based on the analysis results and sends it to the terminal. The terminal then displays the service list visually to the user.

[0046] Step 4:

[0047] The user selects the desired service from the list of services displayed on the terminal. The terminal sends the user's selection information to the server.

[0048] Step 5:

[0049] The server generates flow information to guide the user through the procedures related to the selected service and sends it to the terminal. The terminal then visually presents the detailed flow to the user.

[0050] Step 6:

[0051] The user chooses to share information with their care manager as needed. The device sends a sharing request to the server. The server formats the information for the care manager and transmits it securely.

[0052] Step 7:

[0053] The server periodically generates prompts to check the user's care status and sends them to the terminal. The terminal displays the prompt to the user and receives the updated information. Based on the updated information, the server generates new service suggestions and mental care information and sends them to the terminal again.

[0054] (Example 1)

[0055] 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."

[0056] In the process of users selecting care services and receiving optimal support, there are challenges such as complicated procedures and difficulty in quickly obtaining information on appropriate services and subsidies. Furthermore, there is a lack of timely advice to effectively promote care support tailored to the individual needs of users.

[0057] 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.

[0058] In this invention, the server includes means for providing optimal suggestions to the user using a generative AI model for analysis, means for generating flows that visually and intuitively guide the user through detailed usage procedures based on their selection, and means for checking the user's status periodically and providing necessary updates and notifications. As a result, the user can easily find the optimal care service, the procedures are simplified, and they can receive appropriate advice tailored to their individual circumstances.

[0059] "Data input means" refers to interfaces or devices used to input basic user information.

[0060] "Data verification and transfer means" refers to a system that has the function of verifying the input information in real time, ensuring its accuracy and security, and then transmitting it to the server.

[0061] "Analysis tools" refer to systems that have the function of analyzing received data and performing the process of identifying appropriate services and subsidies.

[0062] A "generative AI model" refers to an artificial intelligence technology used in analysis, specifically an algorithm that derives optimal information and suggestions based on data.

[0063] "Information presentation means" refers to the part that provides a screen or function to display specified services in a list format, allowing users to easily select them.

[0064] A "flow generation method" refers to a system that provides detailed instructions and information regarding selected services in a visual and intuitive manner.

[0065] "Information sharing means" refers to communication methods and protocols for securely sharing information and coordinating with care service managers.

[0066] A "status monitoring system" refers to a system that periodically monitors the user's status, determines new needs or updates, and notifies the user.

[0067] "User interface" refers to the elements that provide screens and operability designed to make it easier for users to interact with a system.

[0068] To implement this invention, an integrated system for providing support related to caregiving is required. This system transmits information entered by the user via a terminal to a server and automatically generates suggestions for appropriate care services and subsidies.

[0069] The first thing a user needs to do is install a dedicated care support application on their device. Using this application, the user enters necessary basic information such as their care level, income, and address. This input is done via the device's data entry system, and the format of the information is verified in real time.

[0070] The terminal securely transmits verified information to the server. The server analyzes the received information, and the analysis tool incorporates a generative AI model. This AI model uses information-based prompts to identify suitable care services and subsidies for the user. At this stage, for example, a prompt such as "Please suggest care services available to a woman in her 70s, care level 2, monthly income of 150,000 yen, residing in Setagaya Ward, Tokyo" is used.

[0071] The server's analysis results are transmitted to the terminal using an information presentation device. The terminal displays this information in a list format that makes it easy for the user to select. If the user selects a service of interest, the server uses a flow generation device to create detailed usage instructions based on that selection. These instructions are designed to be visually and intuitively understandable, and the user can review them through the terminal.

[0072] Furthermore, based on user requests, the terminal can also share necessary information with care service administrators. In this case, the server securely transmits the information using an information sharing mechanism.

[0073] Finally, the server periodically monitors the user's status using status confirmation means and notifies them of necessary updates and new suggestions. In this way, the invention simplifies the process for users to receive care support and enables quick and accurate service selection.

[0074] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0075] Step 1:

[0076] Users install a care support application on their device and enter basic information such as their care level, income, and address using the forms on the device's screen. This entered information is collected through the device's data entry system. The device verifies the accuracy of this information in real time to ensure it is entered in the correct format. If an inaccurate format is detected, an error message is displayed, prompting the user to correct it.

[0077] Step 2:

[0078] The terminal encrypts the verified information and sends it to the server using a secure communication protocol. This is the input data, which includes information such as care level and income. The server receives this data and proceeds to the next analysis step.

[0079] Step 3:

[0080] The server processes the received data using analysis tools and utilizes a generated AI model. At this stage, analysis is performed using prompt statements. Specifically, the AI ​​model is given input in the form of, "Please suggest services for a woman in her 70s, care level 2, monthly income of 150,000 yen, in Tokyo." Based on the given data, the AI ​​model outputs a list of appropriate care services and subsidies.

[0081] Step 4:

[0082] The server transmits the analysis results to the terminal using an information display device. The terminal receives the data and displays it on the screen in a user-friendly format. This includes information such as the service name, location, and price. The user can then select the services that interest them.

[0083] Step 5:

[0084] When a user selects a service, the terminal sends that selection data to the server. The server uses a flow generation mechanism to create a detailed procedural flow based on the selected service. This flow processes the data into a step-by-step format and a list of required documents, converting it into an easy-to-understand format for output.

[0085] Step 6:

[0086] The server sends the generated procedure flow to the terminal, which displays it visually and intuitively. The user can then review the procedure steps on the terminal screen and proceed accordingly.

[0087] Step 7:

[0088] If necessary, users can choose to share information with care service administrators via their devices. The device then sends this information to a server, which encrypts it using an information sharing mechanism and sends it to the care service administrator. This step allows care service administrators to obtain accurate detailed information about the user.

[0089] Step 8:

[0090] The server periodically uses status checks to verify the user's latest information. Based on the input status data, it uses a generated AI model again to discover and notify the user of new needs. The terminal displays this notification to the user and updates the information, for example, "There are new home care service options available."

[0091] (Application Example 1)

[0092] 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."

[0093] With the increasing demand for care services in modern society, it is essential for users to quickly and accurately obtain information to receive appropriate support. However, due to the complexity of the information and the intricacies of the procedures, many users find it difficult to select the right services. Furthermore, a lack of smooth information sharing with support staff leads to delays in providing optimal support.

[0094] 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.

[0095] In this invention, the server includes an input means for inputting the user's basic information, an analysis means for analyzing the input information and identifying appropriate comprehensive support, and a presentation means for displaying the identified comprehensive support in a list so that the user can select one. This makes it possible for the user to quickly select the most suitable care support and proceed with the process efficiently.

[0096] "User" refers to an individual who requires a service and inputs information through the system.

[0097] "Basic information" refers to data that includes individual attributes of the user, such as their care level, income, and regional information.

[0098] "Analysis means" refers to a component that executes a process to identify appropriate comprehensive support using generative AI technology based on information input by the user.

[0099] "Comprehensive support" refers to support such as care services and subsidies that should be provided to users.

[0100] "Presentation method" refers to a function that displays identified comprehensive support options in a list format so that users can easily understand and select them.

[0101] A "flow generation method" is a technology that generates a process to visually guide users through the procedures necessary when using the comprehensive support they have selected.

[0102] "Methods of collaboration" refers to the communication process for appropriately sharing user information with support staff and providing mutual support.

[0103] A "monitoring mechanism" is a system that periodically checks the user's status, obtains necessary update information, and provides it to the user.

[0104] "Generative AI technology" refers to algorithms that use generative artificial intelligence models to analyze user information and propose optimal comprehensive support.

[0105] A "user interface" is a set of visual or tactile components that allow users to directly interact with a system, view information, and make selections.

[0106] This invention is a system that enables users to efficiently manage information related to caregiving and to select and utilize appropriate services. The system operates primarily through a server and user terminals.

[0107] The server first receives basic user information transmitted from the user's terminal. This includes care level, income, and regional information. This information is collected through input methods and stored in a database such as Firebase. The server then uses generative AI technology (e.g., OpenAI's GPT model) to analyze the input information and identify appropriate comprehensive support.

[0108] The identified comprehensive support services are displayed in a list on the user interface through a presentation mechanism. Developed using React Native, this user interface has an intuitive design that allows users to select the appropriate service from the provided options.

[0109] For the selected comprehensive support, the necessary procedures are visually guided through the flow generation mechanism. This allows users to easily understand the procedure flow and execute it smoothly.

[0110] Furthermore, necessary information is shared with support staff using collaborative methods. This enables comprehensive support and prevents omissions or delays in necessary information.

[0111] The server also periodically checks the user's status through monitoring mechanisms and obtains updates as needed. Users receive notifications of new support and services, and these processes are performed automatically.

[0112] For example, consider a scenario where an elderly person receives notification about a new option for home care and considers further services. In this case, the AI-generated prompt would be:

[0113] Prompt: "Please propose suitable home care services for a user with a care level of 3 who resides in a specific area, and create a list of options."

[0114] This system will allow users to receive the most appropriate support, and the process will be expedited.

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

[0116] Step 1:

[0117] Users enter basic information such as their care level, income, and region from their device. The entered data is sent from the device to the Firebase database for data validation. Here, it is confirmed that the data is properly formatted.

[0118] Step 2:

[0119] The server retrieves user information collected from Firebase and sends it to a platform for running a generative AI model. Here, it receives a prompt: "Propose suitable home care services for a user with care level X who resides in a specific area." Based on this prompt, the AI ​​performs analysis and identifies the optimal comprehensive support.

[0120] Step 3:

[0121] The analysis results sent from the server are returned to the terminal and displayed in a list format by a user interface built with React Native. The user can then select the appropriate comprehensive support from the displayed options.

[0122] Step 4:

[0123] For the comprehensive support selected by the user, the server automatically generates the necessary procedures using a flow generation mechanism. The generated procedure flow is visually displayed on the user interface on the terminal, allowing the user to confirm how the procedure will proceed and then execute the next step.

[0124] Step 5:

[0125] If necessary, information is securely transmitted from the terminal to the support staff. The server uses a communication method to select only the necessary data and delivers it to the support staff using a communication protocol.

[0126] Step 6:

[0127] The server periodically verifies the user's status based on a pre-configured schedule and automatically initiates a process to update information when new support opportunities or services are needed. Updates are sent to the user via push notifications, and new suggestions are provided as needed.

[0128] In this way, the system efficiently processes user information and creates a flow that supports the selection of the optimal support.

[0129] 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.

[0130] This invention combines an emotion engine with systems designed to support users of care services and subsidies, thereby providing more personalized suggestions and support that take user emotions into account. In particular, by detecting the emotional state of the user while they are using the application and adjusting the service content based on that information, more effective care support becomes possible.

[0131] When a user uses an application, the device analyzes information such as voice, facial expressions, and input speed using an emotion engine to identify the user's current emotional state. For example, if the user is feeling anxious, the server adjusts the advice provided based on this emotional information to make it more reassuring. The emotional information detected by the emotion engine is also shared with care managers as needed, ensuring that care support is always provided with the user's mental health in mind.

[0132] This system begins with the input of basic care information, and then uses analysis to identify available services. The analysis results are displayed on the terminal as a list of selectable services, allowing the user to choose the service they want. Detailed information and usage flow for the selected service are presented in a format that corresponds to the user's emotional state, and the procedural guidance also changes according to their emotions. For example, if the user is showing signs of stress, the procedural guidance is provided in detail, step by step, and an interface is displayed that reduces the burden on the user.

[0133] One advantage of an emotion engine is that, during regular status checks, the user's emotions are taken into consideration, allowing for more timely service and advice delivery. For example, when a user updates care information, if anxiety or doubts are detected, the server provides information to help them relax, thereby reducing their mental burden.

[0134] Ultimately, this invention, by integrating an emotional engine, enables flexible care support that takes into account the user's emotions, providing particularly effective support for highly sensitive users. As a result, users can receive the necessary services with peace of mind, and care managers can provide high-quality support based on a deeper understanding of the user's emotions.

[0135] The following describes the processing flow.

[0136] Step 1:

[0137] The user launches the care support application and enters basic information during the initial setup. The terminal monitors this basic information entry and prepares to send it to the server once the necessary data has been entered.

[0138] Step 2:

[0139] The terminal sends the collected basic user information to the server. The server processes the received information using analytical tools to derive suggestions for available care services and subsidies. In addition, a generative AI model is used to extract services that fit the user's specific needs.

[0140] Step 3:

[0141] The server creates a list of suggested services based on the calculation results and sends it to the terminal. The terminal displays the service list to the user in a visually easy-to-understand format. The user selects the desired service from this list.

[0142] Step 4:

[0143] To guide the user through the procedures associated with the selected service, the terminal sends the user's selection information to the server. The server generates a detailed procedure flow for each service and optimizes the guidance based on the user's emotional state at that time.

[0144] Step 5:

[0145] The device's emotion engine analyzes the user's tone of voice, facial expressions, and operation patterns in real time to evaluate the user's emotions. This emotion information is sent to a server, which then adjusts the advice and service instructions it provides. For example, a user who is feeling anxious might be presented with simplified procedures.

[0146] Step 6:

[0147] If a user requests to connect with a care manager, the device sends an information sharing request to the server. The server compiles all necessary information, including emotional information, and sends it to the designated care manager. This enables the care manager to provide care based on the user's emotions.

[0148] Step 7:

[0149] The server generates and sends periodic status check prompts tailored to the user's emotional state. The device notifies the user and receives a response. Based on the new information received, the server continues to provide further service suggestions and emotional support.

[0150] (Example 2)

[0151] 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".

[0152] In current care support systems, services are often provided without considering the emotional state of the user, which can increase their mental burden. Therefore, it is necessary to provide personalized suggestions tailored to the emotional state of the user to alleviate this mental burden.

[0153] 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.

[0154] In this invention, the server includes analysis means for analyzing acquired information and the user's emotional state, suggestion generation means for generating appropriate suggestions based on the analysis results, and collaboration means for sharing information with caregivers. This makes it possible to provide care support that is tailored to the user's emotional state.

[0155] "Information gathering means" refers to devices and methods for acquiring basic user information and real-time emotional data.

[0156] "Analysis means" refers to devices and methods used to analyze acquired information and data to identify the emotional state and needs of users.

[0157] A "proposal generation means" is a device or method that creates services or advice suitable for the user based on the analysis results.

[0158] "Adjustment means" refers to devices or methods for appropriately modifying or adjusting generated suggestions according to the user's feelings.

[0159] "Presentation means" refers to devices or methods for visually or audibly displaying and presenting a prepared proposal to a user.

[0160] A "flow generation means" is a device or method for creating a sequence of steps to guide users through the procedures necessary for introducing or using a selected service.

[0161] "Means of collaboration" refer to communication devices and methods for sharing information between care providers and users.

[0162] "Status monitoring means" refers to devices or methods for periodically understanding the user's situation and collecting information on changes and updates.

[0163] This invention utilizes emotion analysis technology to realize care support that takes user emotions into consideration. When a user uses the application, the terminal uses a camera and microphone to collect data such as the user's facial expressions, voice, and input speed. This data is processed using specific software, such as an "emotion analysis algorithm" or a "natural language processing model," for emotion analysis. Specifically, existing emotion analysis tools such as IBM Watson® or Microsoft® Azure® can be used.

[0164] The device sends the collected data to the emotion engine, which analyzes the user's emotional state. Once the analysis is complete, the results are sent to the server. Upon receiving the results, the server generates personalized suggestions tailored to the user's emotions and presents them to the device.

[0165] For example, if the device detects the user's stress while they are browsing information about care services, the server will prepare content and advice specifically designed to reassure the user and present it to them through the device. The presentation method will use a visually easy-to-understand interface so that the user can understand it intuitively.

[0166] Furthermore, the server shares information from this system with caregivers, supporting care that is based on an understanding of the user's condition.

[0167] An example of a prompt message could be, "Generate reassuring advice when the user is feeling anxious." This would enable the system to provide excellent care support that reflects the user's emotions.

[0168] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0169] Step 1:

[0170] The device collects data entered by the user. This data includes not only the user's basic information, but also facial and voice data obtained using the camera and microphone, and typing speed acquired from the input device. This input data is processed as foundational information for detecting the user's emotional state.

[0171] Step 2:

[0172] The device sends the collected data to the emotion engine. The emotion engine analyzes the input voice, facial expressions, and input patterns to identify the user's emotional state. The data processing performed here is emotion analysis using a machine learning model, and the result is the user's emotional state (e.g., happiness, anxiety, stress).

[0173] Step 3:

[0174] The server receives the results of an analysis of the emotional state transmitted from the emotion engine. Based on this, the server uses a generative AI model to generate advice and service content optimized for the user. For example, if the user is feeling anxious, the server will generate relaxing music or reassuring text.

[0175] Step 4:

[0176] The server sends the generated suggestions to the terminal. The terminal presents them to the user using a visually intuitive interface to make them easy to understand. The presented content is adjusted according to the user's emotions; for example, a user experiencing stress is provided with a simple and easy-to-understand procedural guide.

[0177] Step 5:

[0178] Users can review suggestions and advice provided in text or audio format and act accordingly. If they find the information useful, they can then proceed to the next step of selecting specific services or checking their details.

[0179] Step 6:

[0180] The device collects user response data to the information received and sends it back to the server. The server uses this feedback to improve the quality of the services and information it provides. This cycle continuously enhances the user experience and improves the accuracy of the system.

[0181] (Application Example 2)

[0182] 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".

[0183] In an aging society, care services require personalized support tailored to the psychological state of each individual user. However, conventional systems do not adequately consider the emotional state of users, resulting in a failure to adequately alleviate anxiety and stress. Improving this situation and providing higher quality care services is a challenge.

[0184] 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.

[0185] In this invention, the server includes a reception means for inputting the user's basic information, an analysis means for analyzing the input information and identifying appropriate services, and an emotion analysis means for detecting emotions and adjusting the service content based on this information. This makes it possible to provide individually optimized care services according to the user's emotional state.

[0186] A "reception means" is a device or system that provides an interface for users to input their basic information.

[0187] The "analysis means" is a function that analyzes the information entered through the reception means and identifies the most suitable care service for the user based on the results.

[0188] "Display means" refers to a device or system that visually presents a list of services identified by the analysis means to the user, allowing them to make a selection.

[0189] A "procedure generation means" is a function that generates the steps necessary for a user to use the service they have selected and guides the user through them in an easy-to-understand manner.

[0190] "Collaboration means" refers to a communication function for sharing user information with care managers, and plays a role in supporting the coordination and improvement of care services.

[0191] A "status monitoring mechanism" is a function that periodically monitors the user's status and updates the information as needed.

[0192] "Emotional analysis means" refers to a device or system that detects the emotional state of a user from their voice, facial expressions, and other inputs, and adjusts the content and method of the services provided based on the detection results.

[0193] The system for realizing this invention provides appropriate support to users when they receive care services using a device such as a smartphone or tablet, according to their emotional state. The system's hardware includes a device equipped with a camera and microphone, which allows for the real-time acquisition of the user's facial expressions and voice. The software incorporates an algorithm for emotion analysis, which analyzes the input voice and facial expression data to identify the emotional state.

[0194] The server analyzes the user's basic information and emotional data and selects an appropriate service based on that analysis. The selected services are visually displayed as a list on the terminal, allowing the user to easily choose. After the user selects a service, the server provides detailed instructions and guidance via a progress generation system. The progress generation system fine-tunes the support content according to the user's emotional state, providing information in a clear and reassuring format, especially if the user is feeling anxious or stressed.

[0195] As a concrete example, when a user visits a care facility, they can use a guidance app. If they feel anxious, the app will detect their emotional state in real time and guide them through the procedural steps in a gentle tone. This allows users to use the service with peace of mind.

[0196] An example of a prompt that utilizes a generative AI model is asking the system, "What words should I say to reassure a user who is feeling anxious before visiting a nursing home?" Based on such a prompt, the generative AI model generates the most appropriate advice to give the user a sense of security.

[0197] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0198] Step 1:

[0199] The terminal receives basic user information through an input screen. This input includes information such as name, age, and health status. The received information is temporarily stored on the terminal and prepared for transmission to the server.

[0200] Step 2:

[0201] The server receives basic information sent from the terminal and passes it to the analysis system. Here, the information is analyzed, and a list of available care services is generated. The data processing involves determining whether the conditions for service selection are met based on the input values, and identifying suitable services. The output is a list of corresponding care services.

[0202] Step 3:

[0203] The device's camera and microphone are used to acquire the user's facial expressions and voice data in real time. This data is sent to an emotion analysis system. The emotion analysis system utilizes a generative AI model to estimate emotions by prompting the user with the question, "What emotional state is the user currently in?" The output is an analysis result indicating the user's emotional state.

[0204] Step 4:

[0205] The server adjusts the service list display based on emotional state data received from the emotion analysis system. It displays the service list on the terminal in a format best suited to the user's emotional state. This display includes adjustments to colors and font sizes according to the user's emotions. Analysis results are received as input, and a customized UI is generated as output.

[0206] Step 5:

[0207] The user selects their desired service from a visually presented list of services. The terminal sends this selection information to the server. Based on the user's selection, the procedure is prepared to begin, and the necessary procedural information is retrieved.

[0208] Step 6:

[0209] The server generates the details of the procedure corresponding to the selected service via a progress generation mechanism. It generates a procedure flow that includes step-by-step guidance, taking into account the user's emotional state, and sends it to the terminal. The generated flow visually shows the steps while providing specific instructions to the user. The output provides a procedure guide that takes the user's emotions into consideration.

[0210] Step 7:

[0211] Care managers receive information about the user's chosen services and emotional state through collaborative means. This information serves as a reference for care managers when providing further support. Output of this information sharing includes notifications and detailed reports for care managers.

[0212] 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.

[0213] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0214] 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.

[0215] [Second Embodiment]

[0216] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0217] 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.

[0218] 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).

[0219] 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.

[0220] 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.

[0221] 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).

[0222] 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.

[0223] 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.

[0224] 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.

[0225] 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.

[0226] 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.

[0227] 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".

[0228] This invention is a support system for utilizing care services and subsidies, and primarily includes functions for user information input, information analysis, service proposals, information sharing with care managers, and periodic status checks.

[0229] The system operates primarily by having the user install the application and input basic information such as their care level and income. This user information is verified in real time via the terminal and transmitted to the server. The server analyzes the received data to identify appropriate care services and subsidies. This analysis utilizes a generative AI model to provide optimal suggestions based on the user's situation. For example, it might prioritize listing home care and day services available in a specific area.

[0230] The presentation method displays the analyzed service information in a list on the terminal, allowing the user to select the services they are interested in. Based on the selections, the server generates a more detailed usage flow and sends it to the terminal in a visually and intuitively understandable format. This helps the user proceed with the process smoothly.

[0231] Furthermore, users can choose to share information from their device with their care manager as needed. The server compiles the necessary information and sends it to the care manager in a secure manner. This allows users to receive more comprehensive care support.

[0232] Furthermore, the server periodically monitors the user's status to identify new needs and the need for support. Users can receive advice and information about new care services through their devices. For example, if an elderly user needs to re-evaluate their home care services and consider new options, they will be automatically notified and provided with support to encourage their use.

[0233] Overall, this invention is a system that simplifies the cumbersome procedures related to caregiving and supports users in efficiently and accurately receiving the services they need.

[0234] The following describes the processing flow.

[0235] Step 1:

[0236] The user launches the application and enters basic information such as care level, income, and family structure. The terminal verifies the entered data in real time and prepares to send it to the server.

[0237] Step 2:

[0238] The terminal sends user input data to the server. The server analyzes the received information and uses a generated AI model to identify appropriate care services and subsidies.

[0239] Step 3:

[0240] The server generates a list of available services based on the analysis results and sends it to the terminal. The terminal then displays the service list visually to the user.

[0241] Step 4:

[0242] The user selects the desired service from the list of services displayed on the terminal. The terminal sends the user's selection information to the server.

[0243] Step 5:

[0244] The server generates flow information to guide the user through the procedures related to the selected service and sends it to the terminal. The terminal then visually presents the detailed flow to the user.

[0245] Step 6:

[0246] The user chooses to share information with their care manager as needed. The device sends a sharing request to the server. The server formats the information for the care manager and transmits it securely.

[0247] Step 7:

[0248] The server periodically generates prompts to check the user's care status and sends them to the terminal. The terminal displays the prompt to the user and receives the updated information. Based on the updated information, the server generates new service suggestions and mental care information and sends them to the terminal again.

[0249] (Example 1)

[0250] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0251] In the process of users selecting care services and receiving optimal support, there are challenges such as complicated procedures and difficulty in quickly obtaining information on appropriate services and subsidies. Furthermore, there is a lack of timely advice to effectively promote care support tailored to the individual needs of users.

[0252] 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.

[0253] In this invention, the server includes means for providing optimal suggestions to the user using a generative AI model for analysis, means for generating flows that visually and intuitively guide the user through detailed usage procedures based on their selection, and means for checking the user's status periodically and providing necessary updates and notifications. As a result, the user can easily find the optimal care service, the procedures are simplified, and they can receive appropriate advice tailored to their individual circumstances.

[0254] "Data input means" refers to interfaces or devices used to input basic user information.

[0255] "Data verification and transfer means" refers to a system that has the function of verifying the input information in real time, ensuring its accuracy and security, and then transmitting it to the server.

[0256] "Analysis tools" refer to systems that have the function of analyzing received data and performing the process of identifying appropriate services and subsidies.

[0257] A "generative AI model" refers to an artificial intelligence technology used in analysis, specifically an algorithm that derives optimal information and suggestions based on data.

[0258] "Information presentation means" refers to the part that provides a screen or function to display specified services in a list format, allowing users to easily select them.

[0259] A "flow generation method" refers to a system that provides detailed instructions and information regarding selected services in a visual and intuitive manner.

[0260] "Information sharing means" refers to communication methods and protocols for securely sharing information and coordinating with care service managers.

[0261] A "status monitoring system" refers to a system that periodically monitors the user's status, determines new needs or updates, and notifies the user.

[0262] "User interface" refers to the elements that provide screens and operability designed to make it easier for users to interact with a system.

[0263] To implement this invention, an integrated system for providing support related to caregiving is required. This system transmits information entered by the user via a terminal to a server and automatically generates suggestions for appropriate care services and subsidies.

[0264] The first thing a user needs to do is install a dedicated care support application on their device. Using this application, the user enters necessary basic information such as their care level, income, and address. This input is done via the device's data entry system, and the format of the information is verified in real time.

[0265] The terminal securely transmits verified information to the server. The server analyzes the received information, and the analysis tool incorporates a generative AI model. This AI model uses information-based prompts to identify suitable care services and subsidies for the user. At this stage, for example, a prompt such as "Please suggest care services available to a woman in her 70s, care level 2, monthly income of 150,000 yen, residing in Setagaya Ward, Tokyo" is used.

[0266] The server's analysis results are transmitted to the terminal using an information presentation device. The terminal displays this information in a list format that makes it easy for the user to select. If the user selects a service of interest, the server uses a flow generation device to create detailed usage instructions based on that selection. These instructions are designed to be visually and intuitively understandable, and the user can review them through the terminal.

[0267] Furthermore, based on user requests, the terminal can also share necessary information with care service administrators. In this case, the server securely transmits the information using an information sharing mechanism.

[0268] Finally, the server periodically monitors the user's status using status confirmation means and notifies them of necessary updates and new suggestions. In this way, the invention simplifies the process for users to receive care support and enables quick and accurate service selection.

[0269] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0270] Step 1:

[0271] Users install a care support application on their device and enter basic information such as their care level, income, and address using the forms on the device's screen. This entered information is collected through the device's data entry system. The device verifies the accuracy of this information in real time to ensure it is entered in the correct format. If an inaccurate format is detected, an error message is displayed, prompting the user to correct it.

[0272] Step 2:

[0273] The terminal encrypts the verified information and sends it to the server using a secure communication protocol. This is the input data, which includes information such as care level and income. The server receives this data and proceeds to the next analysis step.

[0274] Step 3:

[0275] The server processes the received data using analysis tools and utilizes a generated AI model. At this stage, analysis is performed using prompt statements. Specifically, the AI ​​model is given input in the form of, "Please suggest services for a woman in her 70s, care level 2, monthly income of 150,000 yen, in Tokyo." Based on the given data, the AI ​​model outputs a list of appropriate care services and subsidies.

[0276] Step 4:

[0277] The server transmits the analysis results to the terminal using an information display device. The terminal receives the data and displays it on the screen in a user-friendly format. This includes information such as the service name, location, and price. The user can then select the services that interest them.

[0278] Step 5:

[0279] When the user selects a service, the terminal sends the selection data to the server. Based on the selected service, the server uses flow generation means to create a detailed procedure flow. This flow processes step formats and lists of required documents, converts them into an easy-to-understand format, and outputs them.

[0280] Step 6:

[0281] The server sends the generated procedure flow to the terminal, and the terminal displays it visually and intuitively. The user can check the steps of the procedure on the terminal screen and proceed according to them.

[0282] Step 7:

[0283] If necessary, the user can select information sharing with the care service administrator via the terminal. Then, the terminal sends the information to the server, and the server encrypts it using information linking means and sends it to the care service administrator. Through this step, the care service administrator can accurately obtain the detailed information of the user.

[0284] Step 8:

[0285] Periodically, the server uses situation confirmation means to check the latest information of the user. Here, based on the input situation data, the generated AI model is used again to discover and notify new needs. The terminal displays the notification to the user and updates the information, for example, "There is an option for a new visiting care service".

[0286] (Application Example 1)

[0287] Next, Application Example 1 will be described. In the following description, the data processing device 1 will be referred to as the "server", and the smart glasses 214 will be referred to as the "terminal".

[0288] With the increasing demand for care services in modern society, it is essential for users to quickly and accurately obtain information to receive appropriate support. However, due to the complexity of the information and the intricacies of the procedures, many users find it difficult to select the right services. Furthermore, a lack of smooth information sharing with support staff leads to delays in providing optimal support.

[0289] 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.

[0290] In this invention, the server includes an input means for inputting the user's basic information, an analysis means for analyzing the input information and identifying appropriate comprehensive support, and a presentation means for displaying the identified comprehensive support in a list so that the user can select one. This makes it possible for the user to quickly select the most suitable care support and proceed with the process efficiently.

[0291] "User" refers to an individual who requires a service and inputs information through the system.

[0292] "Basic information" refers to data that includes individual attributes of the user, such as their care level, income, and regional information.

[0293] "Analysis means" refers to a component that executes a process to identify appropriate comprehensive support using generative AI technology based on information input by the user.

[0294] "Comprehensive support" refers to support such as care services and subsidies that should be provided to users.

[0295] "Presentation method" refers to a function that displays identified comprehensive support options in a list format so that users can easily understand and select them.

[0296] A "flow generation method" is a technology that generates a process to visually guide users through the procedures necessary when using the comprehensive support they have selected.

[0297] "Methods of collaboration" refers to the communication process for appropriately sharing user information with support staff and providing mutual support.

[0298] A "monitoring mechanism" is a system that periodically checks the user's status, obtains necessary update information, and provides it to the user.

[0299] "Generative AI technology" refers to algorithms that use generative artificial intelligence models to analyze user information and propose optimal comprehensive support.

[0300] A "user interface" is a set of visual or tactile components that allow users to directly interact with a system, view information, and make selections.

[0301] This invention is a system that enables users to efficiently manage information related to caregiving and to select and utilize appropriate services. The system operates primarily through a server and user terminals.

[0302] The server first receives basic user information transmitted from the user's terminal. This includes care level, income, and regional information. This information is collected through input methods and stored in a database such as Firebase. The server then uses generative AI technology (e.g., OpenAI's GPT model) to analyze the input information and identify appropriate comprehensive support.

[0303] The identified comprehensive support services are displayed in a list on the user interface through a presentation mechanism. Developed using React Native, this user interface has an intuitive design that allows users to select the appropriate service from the provided options.

[0304] For the selected comprehensive support, the necessary procedures are visually guided through the flow generation mechanism. This allows users to easily understand the procedure flow and execute it smoothly.

[0305] Furthermore, using the cooperation means, the information necessary for the support staff is shared. This enables comprehensive support and prevents leakage or delay of necessary information.

[0306] The server also regularly checks the user's status through the monitoring means and obtains updated information as needed. New support and service notifications are sent to the user, and these processes are performed automatically.

[0307] As an example, consider a case where an elderly person receives a notification about a new option for visiting care and considers further services. In this case, the following prompt sentence is used from the generative AI:

[0308] Prompt sentence: "The user's care level is 3. Please propose visiting care services suitable for those living in a specific area and create a list of options."

[0309] With this system, users can obtain optimal support and the procedures can be advanced quickly.

[0310] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0311] Step 1:

[0312] The user inputs basic information such as care level, income, and region from the terminal. The input data is sent by the terminal to the Firebase database for data verification. Here, it is confirmed that the data is properly formatted.

[0313] Step 2:

[0314] The server retrieves user information collected from Firebase and sends it to a platform for running a generative AI model. Here, it receives a prompt: "Propose suitable home care services for a user with care level X who resides in a specific area." Based on this prompt, the AI ​​performs analysis and identifies the optimal comprehensive support.

[0315] Step 3:

[0316] The analysis results sent from the server are returned to the terminal and displayed in a list format by a user interface built with React Native. The user can then select the appropriate comprehensive support from the displayed options.

[0317] Step 4:

[0318] For the comprehensive support selected by the user, the server automatically generates the necessary procedures using a flow generation mechanism. The generated procedure flow is visually displayed on the user interface on the terminal, allowing the user to confirm how the procedure will proceed and then execute the next step.

[0319] Step 5:

[0320] If necessary, information is securely transmitted from the terminal to the support staff. The server uses a communication method to select only the necessary data and delivers it to the support staff using a communication protocol.

[0321] Step 6:

[0322] The server periodically verifies the user's status based on a pre-configured schedule and automatically initiates a process to update information when new support opportunities or services are needed. Updates are sent to the user via push notifications, and new suggestions are provided as needed.

[0323] In this way, the system efficiently processes user information and creates a flow that supports the selection of the optimal support.

[0324] 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.

[0325] This invention combines an emotion engine with systems designed to support users of care services and subsidies, thereby providing more personalized suggestions and support that take user emotions into account. In particular, by detecting the emotional state of the user while they are using the application and adjusting the service content based on that information, more effective care support becomes possible.

[0326] When a user uses an application, the device analyzes information such as voice, facial expressions, and input speed using an emotion engine to identify the user's current emotional state. For example, if the user is feeling anxious, the server adjusts the advice provided based on this emotional information to make it more reassuring. The emotional information detected by the emotion engine is also shared with care managers as needed, ensuring that care support is always provided with the user's mental health in mind.

[0327] This system begins with the input of basic care information, and then uses analysis to identify available services. The analysis results are displayed on the terminal as a list of selectable services, allowing the user to choose the service they want. Detailed information and usage flow for the selected service are presented in a format that corresponds to the user's emotional state, and the procedural guidance also changes according to their emotions. For example, if the user is showing signs of stress, the procedural guidance is provided in detail, step by step, and an interface is displayed that reduces the burden on the user.

[0328] One advantage of an emotion engine is that, during regular status checks, the user's emotions are taken into consideration, allowing for more timely service and advice delivery. For example, when a user updates care information, if anxiety or doubts are detected, the server provides information to help them relax, thereby reducing their mental burden.

[0329] Ultimately, this invention, by integrating an emotional engine, enables flexible care support that takes into account the user's emotions, providing particularly effective support for highly sensitive users. As a result, users can receive the necessary services with peace of mind, and care managers can provide high-quality support based on a deeper understanding of the user's emotions.

[0330] The following describes the processing flow.

[0331] Step 1:

[0332] The user launches the care support application and enters basic information during the initial setup. The terminal monitors this basic information entry and prepares to send it to the server once the necessary data has been entered.

[0333] Step 2:

[0334] The terminal sends the collected basic user information to the server. The server processes the received information using analytical tools to derive suggestions for available care services and subsidies. In addition, a generative AI model is used to extract services that fit the user's specific needs.

[0335] Step 3:

[0336] The server creates a list of suggested services based on the calculation results and sends it to the terminal. The terminal displays the service list to the user in a visually easy-to-understand format. The user selects the desired service from this list.

[0337] Step 4:

[0338] To guide the user through the procedures associated with the selected service, the terminal sends the user's selection information to the server. The server generates a detailed procedure flow for each service and optimizes the guidance based on the user's emotional state at that time.

[0339] Step 5:

[0340] The device's emotion engine analyzes the user's tone of voice, facial expressions, and operation patterns in real time to evaluate the user's emotions. This emotion information is sent to a server, which then adjusts the advice and service instructions it provides. For example, a user who is feeling anxious might be presented with simplified procedures.

[0341] Step 6:

[0342] If a user requests to connect with a care manager, the device sends an information sharing request to the server. The server compiles all necessary information, including emotional information, and sends it to the designated care manager. This enables the care manager to provide care based on the user's emotions.

[0343] Step 7:

[0344] The server generates and sends periodic status check prompts tailored to the user's emotional state. The device notifies the user and receives a response. Based on the new information received, the server continues to provide further service suggestions and emotional support.

[0345] (Example 2)

[0346] 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".

[0347] In current care support systems, services are often provided without considering the emotional state of the user, which can increase their mental burden. Therefore, it is necessary to provide personalized suggestions tailored to the emotional state of the user to alleviate this mental burden.

[0348] 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.

[0349] In this invention, the server includes analysis means for analyzing acquired information and the user's emotional state, suggestion generation means for generating appropriate suggestions based on the analysis results, and collaboration means for sharing information with caregivers. This makes it possible to provide care support that is tailored to the user's emotional state.

[0350] "Information gathering means" refers to devices and methods for acquiring basic user information and real-time emotional data.

[0351] "Analysis means" refers to devices and methods used to analyze acquired information and data to identify the emotional state and needs of users.

[0352] A "proposal generation means" is a device or method that creates services or advice suitable for the user based on the analysis results.

[0353] "Adjustment means" refers to devices or methods for appropriately modifying or adjusting generated suggestions according to the user's feelings.

[0354] "Presentation means" refers to devices or methods for visually or audibly displaying and presenting a prepared proposal to a user.

[0355] A "flow generation means" is a device or method for creating a sequence of steps to guide users through the procedures necessary for introducing or using a selected service.

[0356] "Means of collaboration" refer to communication devices and methods for sharing information between care providers and users.

[0357] "Status monitoring means" refers to devices or methods for periodically understanding the user's situation and collecting information on changes and updates.

[0358] This invention utilizes emotion analysis technology to provide care support that takes user emotions into consideration. When a user uses the application, the terminal uses a camera and microphone to collect data such as the user's facial expressions, voice, and input speed. This data is processed using specific software, such as an "emotion analysis algorithm" or a "natural language processing model," for emotion analysis. Specifically, existing emotion analysis tools such as IBM Watson or Microsoft Azure can be used.

[0359] The device sends the collected data to the emotion engine, which analyzes the user's emotional state. Once the analysis is complete, the results are sent to the server. Upon receiving the results, the server generates personalized suggestions tailored to the user's emotions and presents them to the device.

[0360] For example, if the device detects the user's stress while they are browsing information about care services, the server will prepare content and advice specifically designed to reassure the user and present it to them through the device. The presentation method will use a visually easy-to-understand interface so that the user can understand it intuitively.

[0361] Furthermore, the server shares information from this system with caregivers, supporting care that is based on an understanding of the user's condition.

[0362] An example of a prompt message could be, "Generate reassuring advice when the user is feeling anxious." This would enable the system to provide excellent care support that reflects the user's emotions.

[0363] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0364] Step 1:

[0365] The device collects data entered by the user. This data includes not only the user's basic information, but also facial and voice data obtained using the camera and microphone, and typing speed acquired from the input device. This input data is processed as foundational information for detecting the user's emotional state.

[0366] Step 2:

[0367] The device sends the collected data to the emotion engine. The emotion engine analyzes the input voice, facial expressions, and input patterns to identify the user's emotional state. The data processing performed here is emotion analysis using a machine learning model, and the result is the user's emotional state (e.g., happiness, anxiety, stress).

[0368] Step 3:

[0369] The server receives the results of an analysis of the emotional state transmitted from the emotion engine. Based on this, the server uses a generative AI model to generate advice and service content optimized for the user. For example, if the user is feeling anxious, the server will generate relaxing music or reassuring text.

[0370] Step 4:

[0371] The server sends the generated suggestions to the terminal. The terminal presents them to the user using a visually intuitive interface to make them easy to understand. The presented content is adjusted according to the user's emotions; for example, a user experiencing stress is provided with a simple and easy-to-understand procedural guide.

[0372] Step 5:

[0373] Users can review suggestions and advice provided in text or audio format and act accordingly. If they find the information useful, they can then proceed to the next step of selecting specific services or checking their details.

[0374] Step 6:

[0375] The device collects user response data to the information received and sends it back to the server. The server uses this feedback to improve the quality of the services and information it provides. This cycle continuously enhances the user experience and improves the accuracy of the system.

[0376] (Application Example 2)

[0377] 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."

[0378] In an aging society, care services require personalized support tailored to the psychological state of each individual user. However, conventional systems do not adequately consider the emotional state of users, resulting in a failure to adequately alleviate anxiety and stress. Improving this situation and providing higher quality care services is a challenge.

[0379] 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.

[0380] In this invention, the server includes a reception means for inputting the user's basic information, an analysis means for analyzing the input information and identifying appropriate services, and an emotion analysis means for detecting emotions and adjusting the service content based on this information. This makes it possible to provide individually optimized care services according to the user's emotional state.

[0381] A "reception means" is a device or system that provides an interface for users to input their basic information.

[0382] The "analysis means" is a function that analyzes the information entered through the reception means and identifies the most suitable care service for the user based on the results.

[0383] "Display means" refers to a device or system that visually presents a list of services identified by the analysis means to the user, allowing them to make a selection.

[0384] A "procedure generation means" is a function that generates the steps necessary for a user to use the service they have selected and guides the user through them in an easy-to-understand manner.

[0385] "Collaboration means" refers to a communication function for sharing user information with care managers, and plays a role in supporting the coordination and improvement of care services.

[0386] A "status monitoring mechanism" is a function that periodically monitors the user's status and updates the information as needed.

[0387] "Emotional analysis means" refers to a device or system that detects the emotional state of a user from their voice, facial expressions, and other inputs, and adjusts the content and method of the services provided based on the detection results.

[0388] The system for realizing this invention provides appropriate support to users when they receive care services using a device such as a smartphone or tablet, according to their emotional state. The system's hardware includes a device equipped with a camera and microphone, which allows for the real-time acquisition of the user's facial expressions and voice. The software incorporates an algorithm for emotion analysis, which analyzes the input voice and facial expression data to identify the emotional state.

[0389] The server analyzes the user's basic information and emotional data and selects an appropriate service based on that analysis. The selected services are visually displayed as a list on the terminal, allowing the user to easily choose. After the user selects a service, the server provides detailed instructions and guidance via a progress generation system. The progress generation system fine-tunes the support content according to the user's emotional state, providing information in a clear and reassuring format, especially if the user is feeling anxious or stressed.

[0390] As a concrete example, when a user visits a care facility, they can use a guidance app. If they feel anxious, the app will detect their emotional state in real time and guide them through the procedural steps in a gentle tone. This allows users to use the service with peace of mind.

[0391] An example of a prompt that utilizes a generative AI model is asking the system, "What words should I say to reassure a user who is feeling anxious before visiting a nursing home?" Based on such a prompt, the generative AI model generates the most appropriate advice to give the user a sense of security.

[0392] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0393] Step 1:

[0394] The terminal receives basic user information through an input screen. This input includes information such as name, age, and health status. The received information is temporarily stored on the terminal and prepared for transmission to the server.

[0395] Step 2:

[0396] The server receives basic information sent from the terminal and passes it to the analysis system. Here, the information is analyzed, and a list of available care services is generated. The data processing involves determining whether the conditions for service selection are met based on the input values, and identifying suitable services. The output is a list of corresponding care services.

[0397] Step 3:

[0398] The device's camera and microphone are used to acquire the user's facial expressions and voice data in real time. This data is sent to an emotion analysis system. The emotion analysis system utilizes a generative AI model to estimate emotions by prompting the user with the question, "What emotional state is the user currently in?" The output is an analysis result indicating the user's emotional state.

[0399] Step 4:

[0400] The server adjusts the service list display based on emotional state data received from the emotion analysis system. It displays the service list on the terminal in a format best suited to the user's emotional state. This display includes adjustments to colors and font sizes according to the user's emotions. Analysis results are received as input, and a customized UI is generated as output.

[0401] Step 5:

[0402] The user selects their desired service from a visually presented list of services. The terminal sends this selection information to the server. Based on the user's selection, the procedure is prepared to begin, and the necessary procedural information is retrieved.

[0403] Step 6:

[0404] The server generates the details of the procedure corresponding to the selected service via a progress generation mechanism. It generates a procedure flow that includes step-by-step guidance, taking into account the user's emotional state, and sends it to the terminal. The generated flow visually shows the steps while providing specific instructions to the user. The output provides a procedure guide that takes the user's emotions into consideration.

[0405] Step 7:

[0406] Care managers receive information about the user's chosen services and emotional state through collaborative means. This information serves as a reference for care managers when providing further support. Output of this information sharing includes notifications and detailed reports for care managers.

[0407] 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.

[0408] 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.

[0409] 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.

[0410] [Third Embodiment]

[0411] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0412] 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.

[0413] 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).

[0414] 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.

[0415] 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.

[0416] 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).

[0417] 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.

[0418] 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.

[0419] 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.

[0420] 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.

[0421] 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.

[0422] 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".

[0423] This invention is a support system for utilizing care services and subsidies, and primarily includes functions for user information input, information analysis, service proposals, information sharing with care managers, and periodic status checks.

[0424] The system operates primarily by having the user install the application and input basic information such as their care level and income. This user information is verified in real time via the terminal and transmitted to the server. The server analyzes the received data to identify appropriate care services and subsidies. This analysis utilizes a generative AI model to provide optimal suggestions based on the user's situation. For example, it might prioritize listing home care and day services available in a specific area.

[0425] The presentation method displays the analyzed service information in a list on the terminal, allowing the user to select the services they are interested in. Based on the selections, the server generates a more detailed usage flow and sends it to the terminal in a visually and intuitively understandable format. This helps the user proceed with the process smoothly.

[0426] Furthermore, users can choose to share information from their device with their care manager as needed. The server compiles the necessary information and sends it to the care manager in a secure manner. This allows users to receive more comprehensive care support.

[0427] Furthermore, the server periodically monitors the user's status to identify new needs and the need for support. Users can receive advice and information about new care services through their devices. For example, if an elderly user needs to re-evaluate their home care services and consider new options, they will be automatically notified and provided with support to encourage their use.

[0428] Overall, this invention is a system that simplifies the cumbersome procedures related to caregiving and supports users in efficiently and accurately receiving the services they need.

[0429] The following describes the processing flow.

[0430] Step 1:

[0431] The user launches the application and enters basic information such as care level, income, and family structure. The terminal verifies the entered data in real time and prepares to send it to the server.

[0432] Step 2:

[0433] The terminal sends user input data to the server. The server analyzes the received information and uses a generated AI model to identify appropriate care services and subsidies.

[0434] Step 3:

[0435] The server generates a list of available services based on the analysis results and sends it to the terminal. The terminal then displays the service list visually to the user.

[0436] Step 4:

[0437] The user selects the desired service from the list of services displayed on the terminal. The terminal sends the user's selection information to the server.

[0438] Step 5:

[0439] The server generates flow information to guide the user through the procedures related to the selected service and sends it to the terminal. The terminal then visually presents the detailed flow to the user.

[0440] Step 6:

[0441] The user chooses to share information with their care manager as needed. The device sends a sharing request to the server. The server formats the information for the care manager and transmits it securely.

[0442] Step 7:

[0443] The server periodically generates prompts to check the user's care status and sends them to the terminal. The terminal displays the prompt to the user and receives the updated information. Based on the updated information, the server generates new service suggestions and mental care information and sends them to the terminal again.

[0444] (Example 1)

[0445] 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."

[0446] In the process of users selecting care services and receiving optimal support, there are challenges such as complicated procedures and difficulty in quickly obtaining information on appropriate services and subsidies. Furthermore, there is a lack of timely advice to effectively promote care support tailored to the individual needs of users.

[0447] 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.

[0448] In this invention, the server includes means for providing optimal suggestions to the user using a generative AI model for analysis, means for generating flows that visually and intuitively guide the user through detailed usage procedures based on their selection, and means for checking the user's status periodically and providing necessary updates and notifications. As a result, the user can easily find the optimal care service, the procedures are simplified, and they can receive appropriate advice tailored to their individual circumstances.

[0449] "Data input means" refers to interfaces or devices used to input basic user information.

[0450] "Data verification and transfer means" refers to a system that has the function of verifying the input information in real time, ensuring its accuracy and security, and then transmitting it to the server.

[0451] "Analysis tools" refer to systems that have the function of analyzing received data and performing the process of identifying appropriate services and subsidies.

[0452] A "generative AI model" refers to an artificial intelligence technology used in analysis, specifically an algorithm that derives optimal information and suggestions based on data.

[0453] "Information presentation means" refers to the part that provides a screen or function to display specified services in a list format, allowing users to easily select them.

[0454] A "flow generation method" refers to a system that provides detailed instructions and information regarding selected services in a visual and intuitive manner.

[0455] "Information sharing means" refers to communication methods and protocols for securely sharing information and coordinating with care service managers.

[0456] A "status monitoring system" refers to a system that periodically monitors the user's status, determines new needs or updates, and notifies the user.

[0457] "User interface" refers to the elements that provide screens and operability designed to make it easier for users to interact with a system.

[0458] To implement this invention, an integrated system for providing support related to caregiving is required. This system transmits information entered by the user via a terminal to a server and automatically generates suggestions for appropriate care services and subsidies.

[0459] The first thing a user needs to do is install a dedicated care support application on their device. Using this application, the user enters necessary basic information such as their care level, income, and address. This input is done via the device's data entry system, and the format of the information is verified in real time.

[0460] The terminal securely transmits verified information to the server. The server analyzes the received information, and the analysis tool incorporates a generative AI model. This AI model uses information-based prompts to identify suitable care services and subsidies for the user. At this stage, for example, a prompt such as "Please suggest care services available to a woman in her 70s, care level 2, monthly income of 150,000 yen, residing in Setagaya Ward, Tokyo" is used.

[0461] The server's analysis results are transmitted to the terminal using an information presentation device. The terminal displays this information in a list format that makes it easy for the user to select. If the user selects a service of interest, the server uses a flow generation device to create detailed usage instructions based on that selection. These instructions are designed to be visually and intuitively understandable, and the user can review them through the terminal.

[0462] Furthermore, based on user requests, the terminal can also share necessary information with care service administrators. In this case, the server securely transmits the information using an information sharing mechanism.

[0463] Finally, the server periodically monitors the user's status using status confirmation means and notifies them of necessary updates and new suggestions. In this way, the invention simplifies the process for users to receive care support and enables quick and accurate service selection.

[0464] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0465] Step 1:

[0466] Users install a care support application on their device and enter basic information such as their care level, income, and address using the forms on the device's screen. This entered information is collected through the device's data entry system. The device verifies the accuracy of this information in real time to ensure it is entered in the correct format. If an inaccurate format is detected, an error message is displayed, prompting the user to correct it.

[0467] Step 2:

[0468] The terminal encrypts the verified information and sends it to the server using a secure communication protocol. This is the input data, which includes information such as care level and income. The server receives this data and proceeds to the next analysis step.

[0469] Step 3:

[0470] The server processes the received data using analysis tools and utilizes a generated AI model. At this stage, analysis is performed using prompt statements. Specifically, the AI ​​model is given input in the form of, "Please suggest services for a woman in her 70s, care level 2, monthly income of 150,000 yen, in Tokyo." Based on the given data, the AI ​​model outputs a list of appropriate care services and subsidies.

[0471] Step 4:

[0472] The server transmits the analysis results to the terminal using an information display device. The terminal receives the data and displays it on the screen in a user-friendly format. This includes information such as the service name, location, and price. The user can then select the services that interest them.

[0473] Step 5:

[0474] When a user selects a service, the terminal sends that selection data to the server. The server uses a flow generation mechanism to create a detailed procedural flow based on the selected service. This flow processes the data into a step-by-step format and a list of required documents, converting it into an easy-to-understand format for output.

[0475] Step 6:

[0476] The server sends the generated procedure flow to the terminal, which displays it visually and intuitively. The user can then review the procedure steps on the terminal screen and proceed accordingly.

[0477] Step 7:

[0478] If necessary, users can choose to share information with care service administrators via their devices. The device then sends this information to a server, which encrypts it using an information sharing mechanism and sends it to the care service administrator. This step allows care service administrators to obtain accurate detailed information about the user.

[0479] Step 8:

[0480] The server periodically uses status checks to verify the user's latest information. Based on the input status data, it uses a generated AI model again to discover and notify the user of new needs. The terminal displays this notification to the user and updates the information, for example, "There are new home care service options available."

[0481] (Application Example 1)

[0482] 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."

[0483] With the increasing demand for care services in modern society, it is essential for users to quickly and accurately obtain information to receive appropriate support. However, due to the complexity of the information and the intricacies of the procedures, many users find it difficult to select the right services. Furthermore, a lack of smooth information sharing with support staff leads to delays in providing optimal support.

[0484] 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.

[0485] In this invention, the server includes an input means for inputting the user's basic information, an analysis means for analyzing the input information and identifying appropriate comprehensive support, and a presentation means for displaying the identified comprehensive support in a list so that the user can select one. This makes it possible for the user to quickly select the most suitable care support and proceed with the process efficiently.

[0486] "User" refers to an individual who requires a service and inputs information through the system.

[0487] "Basic information" refers to data that includes individual attributes of the user, such as their care level, income, and regional information.

[0488] "Analysis means" refers to a component that executes a process to identify appropriate comprehensive support using generative AI technology based on information input by the user.

[0489] "Comprehensive support" refers to support such as care services and subsidies that should be provided to users.

[0490] "Presentation method" refers to a function that displays identified comprehensive support options in a list format so that users can easily understand and select them.

[0491] A "flow generation method" is a technology that generates a process to visually guide users through the procedures necessary when using the comprehensive support they have selected.

[0492] "Methods of collaboration" refers to the communication process for appropriately sharing user information with support staff and providing mutual support.

[0493] A "monitoring mechanism" is a system that periodically checks the user's status, obtains necessary update information, and provides it to the user.

[0494] "Generative AI technology" refers to algorithms that use generative artificial intelligence models to analyze user information and propose optimal comprehensive support.

[0495] A "user interface" is a set of visual or tactile components that allow users to directly interact with a system, view information, and make selections.

[0496] This invention is a system that enables users to efficiently manage information related to caregiving and to select and utilize appropriate services. The system operates primarily through a server and user terminals.

[0497] The server first receives basic user information transmitted from the user's terminal. This includes care level, income, and regional information. This information is collected through input methods and stored in a database such as Firebase. The server then uses generative AI technology (e.g., OpenAI's GPT model) to analyze the input information and identify appropriate comprehensive support.

[0498] The identified comprehensive support services are displayed in a list on the user interface through a presentation mechanism. Developed using React Native, this user interface has an intuitive design that allows users to select the appropriate service from the provided options.

[0499] For the selected comprehensive support, the necessary procedures are visually guided through the flow generation mechanism. This allows users to easily understand the procedure flow and execute it smoothly.

[0500] Furthermore, necessary information is shared with support staff using collaborative methods. This enables comprehensive support and prevents omissions or delays in necessary information.

[0501] The server also periodically checks the user's status through monitoring mechanisms and obtains updates as needed. Users receive notifications of new support and services, and these processes are performed automatically.

[0502] For example, consider a scenario where an elderly person receives notification about a new option for home care and considers further services. In this case, the AI-generated prompt would be:

[0503] Prompt: "Please propose suitable home care services for a user with a care level of 3 who resides in a specific area, and create a list of options."

[0504] This system will allow users to receive the most appropriate support, and the process will be expedited.

[0505] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0506] Step 1:

[0507] Users enter basic information such as their care level, income, and region from their device. The entered data is sent from the device to the Firebase database for data validation. Here, it is confirmed that the data is properly formatted.

[0508] Step 2:

[0509] The server retrieves user information collected from Firebase and sends it to a platform for running a generative AI model. Here, it receives a prompt: "Propose suitable home care services for a user with care level X who resides in a specific area." Based on this prompt, the AI ​​performs analysis and identifies the optimal comprehensive support.

[0510] Step 3:

[0511] The analysis results sent from the server are returned to the terminal and displayed in a list format by a user interface built with React Native. The user can then select the appropriate comprehensive support from the displayed options.

[0512] Step 4:

[0513] For the comprehensive support selected by the user, the server automatically generates the necessary procedures using a flow generation mechanism. The generated procedure flow is visually displayed on the user interface on the terminal, allowing the user to confirm how the procedure will proceed and then execute the next step.

[0514] Step 5:

[0515] If necessary, information is securely transmitted from the terminal to the support staff. The server uses a communication method to select only the necessary data and delivers it to the support staff using a communication protocol.

[0516] Step 6:

[0517] The server periodically verifies the user's status based on a pre-configured schedule and automatically initiates a process to update information when new support opportunities or services are needed. Updates are sent to the user via push notifications, and new suggestions are provided as needed.

[0518] In this way, the system efficiently processes user information and creates a flow that supports the selection of the optimal support.

[0519] 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.

[0520] This invention combines an emotion engine with systems designed to support users of care services and subsidies, thereby providing more personalized suggestions and support that take user emotions into account. In particular, by detecting the emotional state of the user while they are using the application and adjusting the service content based on that information, more effective care support becomes possible.

[0521] When a user uses an application, the device analyzes information such as voice, facial expressions, and input speed using an emotion engine to identify the user's current emotional state. For example, if the user is feeling anxious, the server adjusts the advice provided based on this emotional information to make it more reassuring. The emotional information detected by the emotion engine is also shared with care managers as needed, ensuring that care support is always provided with the user's mental health in mind.

[0522] This system begins with the input of basic care information, and then uses analysis to identify available services. The analysis results are displayed on the terminal as a list of selectable services, allowing the user to choose the service they want. Detailed information and usage flow for the selected service are presented in a format that corresponds to the user's emotional state, and the procedural guidance also changes according to their emotions. For example, if the user is showing signs of stress, the procedural guidance is provided in detail, step by step, and an interface is displayed that reduces the burden on the user.

[0523] One advantage of an emotion engine is that, during regular status checks, the user's emotions are taken into consideration, allowing for more timely service and advice delivery. For example, when a user updates care information, if anxiety or doubts are detected, the server provides information to help them relax, thereby reducing their mental burden.

[0524] Ultimately, this invention, by integrating an emotional engine, enables flexible care support that takes into account the user's emotions, providing particularly effective support for highly sensitive users. As a result, users can receive the necessary services with peace of mind, and care managers can provide high-quality support based on a deeper understanding of the user's emotions.

[0525] The following describes the processing flow.

[0526] Step 1:

[0527] The user launches the care support application and enters basic information during the initial setup. The terminal monitors this basic information entry and prepares to send it to the server once the necessary data has been entered.

[0528] Step 2:

[0529] The terminal sends the collected basic user information to the server. The server processes the received information using analytical tools to derive suggestions for available care services and subsidies. In addition, a generative AI model is used to extract services that fit the user's specific needs.

[0530] Step 3:

[0531] The server creates a list of suggested services based on the calculation results and sends it to the terminal. The terminal displays the service list to the user in a visually easy-to-understand format. The user selects the desired service from this list.

[0532] Step 4:

[0533] To guide the user through the procedures associated with the selected service, the terminal sends the user's selection information to the server. The server generates a detailed procedure flow for each service and optimizes the guidance based on the user's emotional state at that time.

[0534] Step 5:

[0535] The device's emotion engine analyzes the user's tone of voice, facial expressions, and operation patterns in real time to evaluate the user's emotions. This emotion information is sent to a server, which then adjusts the advice and service instructions it provides. For example, a user who is feeling anxious might be presented with simplified procedures.

[0536] Step 6:

[0537] If a user requests to connect with a care manager, the device sends an information sharing request to the server. The server compiles all necessary information, including emotional information, and sends it to the designated care manager. This enables the care manager to provide care based on the user's emotions.

[0538] Step 7:

[0539] The server generates and sends periodic status check prompts tailored to the user's emotional state. The device notifies the user and receives a response. Based on the new information received, the server continues to provide further service suggestions and emotional support.

[0540] (Example 2)

[0541] 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."

[0542] In current care support systems, services are often provided without considering the emotional state of the user, which can increase their mental burden. Therefore, it is necessary to provide personalized suggestions tailored to the emotional state of the user to alleviate this mental burden.

[0543] 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.

[0544] In this invention, the server includes analysis means for analyzing acquired information and the user's emotional state, suggestion generation means for generating appropriate suggestions based on the analysis results, and collaboration means for sharing information with caregivers. This makes it possible to provide care support that is tailored to the user's emotional state.

[0545] "Information gathering means" refers to devices and methods for acquiring basic user information and real-time emotional data.

[0546] "Analysis means" refers to devices and methods used to analyze acquired information and data to identify the emotional state and needs of users.

[0547] A "proposal generation means" is a device or method that creates services or advice suitable for the user based on the analysis results.

[0548] "Adjustment means" refers to devices or methods for appropriately modifying or adjusting generated suggestions according to the user's feelings.

[0549] "Presentation means" refers to devices or methods for visually or audibly displaying and presenting a prepared proposal to a user.

[0550] A "flow generation means" is a device or method for creating a sequence of steps to guide users through the procedures necessary for introducing or using a selected service.

[0551] "Means of collaboration" refer to communication devices and methods for sharing information between care providers and users.

[0552] "Status monitoring means" refers to devices or methods for periodically understanding the user's situation and collecting information on changes and updates.

[0553] This invention utilizes emotion analysis technology to provide care support that takes user emotions into consideration. When a user uses the application, the terminal uses a camera and microphone to collect data such as the user's facial expressions, voice, and input speed. This data is processed using specific software, such as an "emotion analysis algorithm" or a "natural language processing model," for emotion analysis. Specifically, existing emotion analysis tools such as IBM Watson or Microsoft Azure can be used.

[0554] The device sends the collected data to the emotion engine, which analyzes the user's emotional state. Once the analysis is complete, the results are sent to the server. Upon receiving the results, the server generates personalized suggestions tailored to the user's emotions and presents them to the device.

[0555] For example, if the device detects the user's stress while they are browsing information about care services, the server will prepare content and advice specifically designed to reassure the user and present it to them through the device. The presentation method will use a visually easy-to-understand interface so that the user can understand it intuitively.

[0556] Furthermore, the server shares information from this system with caregivers, supporting care that is based on an understanding of the user's condition.

[0557] An example of a prompt message could be, "Generate reassuring advice when the user is feeling anxious." This would enable the system to provide excellent care support that reflects the user's emotions.

[0558] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0559] Step 1:

[0560] The device collects data entered by the user. This data includes not only the user's basic information, but also facial and voice data obtained using the camera and microphone, and typing speed acquired from the input device. This input data is processed as foundational information for detecting the user's emotional state.

[0561] Step 2:

[0562] The device sends the collected data to the emotion engine. The emotion engine analyzes the input voice, facial expressions, and input patterns to identify the user's emotional state. The data processing performed here is emotion analysis using a machine learning model, and the result is the user's emotional state (e.g., happiness, anxiety, stress).

[0563] Step 3:

[0564] The server receives the results of an analysis of the emotional state transmitted from the emotion engine. Based on this, the server uses a generative AI model to generate advice and service content optimized for the user. For example, if the user is feeling anxious, the server will generate relaxing music or reassuring text.

[0565] Step 4:

[0566] The server sends the generated suggestions to the terminal. The terminal presents them to the user using a visually intuitive interface to make them easy to understand. The presented content is adjusted according to the user's emotions; for example, a user experiencing stress is provided with a simple and easy-to-understand procedural guide.

[0567] Step 5:

[0568] Users can review suggestions and advice provided in text or audio format and act accordingly. If they find the information useful, they can then proceed to the next step of selecting specific services or checking their details.

[0569] Step 6:

[0570] The device collects user response data to the information received and sends it back to the server. The server uses this feedback to improve the quality of the services and information it provides. This cycle continuously enhances the user experience and improves the accuracy of the system.

[0571] (Application Example 2)

[0572] 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."

[0573] In an aging society, care services require personalized support tailored to the psychological state of each individual user. However, conventional systems do not adequately consider the emotional state of users, resulting in a failure to adequately alleviate anxiety and stress. Improving this situation and providing higher quality care services is a challenge.

[0574] 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.

[0575] In this invention, the server includes a reception means for inputting the user's basic information, an analysis means for analyzing the input information and identifying appropriate services, and an emotion analysis means for detecting emotions and adjusting the service content based on this information. This makes it possible to provide individually optimized care services according to the user's emotional state.

[0576] A "reception means" is a device or system that provides an interface for users to input their basic information.

[0577] The "analysis means" is a function that analyzes the information entered through the reception means and identifies the most suitable care service for the user based on the results.

[0578] "Display means" refers to a device or system that visually presents a list of services identified by the analysis means to the user, allowing them to make a selection.

[0579] A "procedure generation means" is a function that generates the steps necessary for a user to use the service they have selected and guides the user through them in an easy-to-understand manner.

[0580] "Collaboration means" refers to a communication function for sharing user information with care managers, and plays a role in supporting the coordination and improvement of care services.

[0581] A "status monitoring mechanism" is a function that periodically monitors the user's status and updates the information as needed.

[0582] "Emotional analysis means" refers to a device or system that detects the emotional state of a user from their voice, facial expressions, and other inputs, and adjusts the content and method of the services provided based on the detection results.

[0583] The system for realizing this invention provides appropriate support to users when they receive care services using a device such as a smartphone or tablet, according to their emotional state. The system's hardware includes a device equipped with a camera and microphone, which allows for the real-time acquisition of the user's facial expressions and voice. The software incorporates an algorithm for emotion analysis, which analyzes the input voice and facial expression data to identify the emotional state.

[0584] The server analyzes the user's basic information and emotional data and selects an appropriate service based on that analysis. The selected services are visually displayed as a list on the terminal, allowing the user to easily choose. After the user selects a service, the server provides detailed instructions and guidance via a progress generation system. The progress generation system fine-tunes the support content according to the user's emotional state, providing information in a clear and reassuring format, especially if the user is feeling anxious or stressed.

[0585] As a concrete example, when a user visits a care facility, they can use a guidance app. If they feel anxious, the app will detect their emotional state in real time and guide them through the procedural steps in a gentle tone. This allows users to use the service with peace of mind.

[0586] An example of a prompt that utilizes a generative AI model is asking the system, "What words should I say to reassure a user who is feeling anxious before visiting a nursing home?" Based on such a prompt, the generative AI model generates the most appropriate advice to give the user a sense of security.

[0587] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0588] Step 1:

[0589] The terminal receives basic user information through an input screen. This input includes information such as name, age, and health status. The received information is temporarily stored on the terminal and prepared for transmission to the server.

[0590] Step 2:

[0591] The server receives basic information sent from the terminal and passes it to the analysis system. Here, the information is analyzed, and a list of available care services is generated. The data processing involves determining whether the conditions for service selection are met based on the input values, and identifying suitable services. The output is a list of corresponding care services.

[0592] Step 3:

[0593] The device's camera and microphone are used to acquire the user's facial expressions and voice data in real time. This data is sent to an emotion analysis system. The emotion analysis system utilizes a generative AI model to estimate emotions by prompting the user with the question, "What emotional state is the user currently in?" The output is an analysis result indicating the user's emotional state.

[0594] Step 4:

[0595] The server adjusts the service list display based on emotional state data received from the emotion analysis system. It displays the service list on the terminal in a format best suited to the user's emotional state. This display includes adjustments to colors and font sizes according to the user's emotions. Analysis results are received as input, and a customized UI is generated as output.

[0596] Step 5:

[0597] The user selects their desired service from a visually presented list of services. The terminal sends this selection information to the server. Based on the user's selection, the procedure is prepared to begin, and the necessary procedural information is retrieved.

[0598] Step 6:

[0599] The server generates the details of the procedure corresponding to the selected service via a progress generation mechanism. It generates a procedure flow that includes step-by-step guidance, taking into account the user's emotional state, and sends it to the terminal. The generated flow visually shows the steps while providing specific instructions to the user. The output provides a procedure guide that takes the user's emotions into consideration.

[0600] Step 7:

[0601] Care managers receive information about the user's chosen services and emotional state through collaborative means. This information serves as a reference for care managers when providing further support. Output of this information sharing includes notifications and detailed reports for care managers.

[0602] 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.

[0603] 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.

[0604] 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.

[0605] [Fourth Embodiment]

[0606] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0607] 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.

[0608] 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).

[0609] 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.

[0610] 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.

[0611] 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).

[0612] 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.

[0613] 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.

[0614] 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.

[0615] 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.

[0616] 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.

[0617] 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.

[0618] 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".

[0619] This invention is a support system for utilizing care services and subsidies, and primarily includes functions for user information input, information analysis, service proposals, information sharing with care managers, and periodic status checks.

[0620] The system operates primarily by having the user install the application and input basic information such as their care level and income. This user information is verified in real time via the terminal and transmitted to the server. The server analyzes the received data to identify appropriate care services and subsidies. This analysis utilizes a generative AI model to provide optimal suggestions based on the user's situation. For example, it might prioritize listing home care and day services available in a specific area.

[0621] The presentation method displays the analyzed service information in a list on the terminal, allowing the user to select the services they are interested in. Based on the selections, the server generates a more detailed usage flow and sends it to the terminal in a visually and intuitively understandable format. This helps the user proceed with the process smoothly.

[0622] Furthermore, users can choose to share information from their device with their care manager as needed. The server compiles the necessary information and sends it to the care manager in a secure manner. This allows users to receive more comprehensive care support.

[0623] Furthermore, the server periodically monitors the user's status to identify new needs and the need for support. Users can receive advice and information about new care services through their devices. For example, if an elderly user needs to re-evaluate their home care services and consider new options, they will be automatically notified and provided with support to encourage their use.

[0624] Overall, this invention is a system that simplifies the cumbersome procedures related to caregiving and supports users in efficiently and accurately receiving the services they need.

[0625] The following describes the processing flow.

[0626] Step 1:

[0627] The user launches the application and enters basic information such as care level, income, and family structure. The terminal verifies the entered data in real time and prepares to send it to the server.

[0628] Step 2:

[0629] The terminal sends user input data to the server. The server analyzes the received information and uses a generated AI model to identify appropriate care services and subsidies.

[0630] Step 3:

[0631] The server generates a list of available services based on the analysis results and sends it to the terminal. The terminal then displays the service list visually to the user.

[0632] Step 4:

[0633] The user selects the desired service from the list of services displayed on the terminal. The terminal sends the user's selection information to the server.

[0634] Step 5:

[0635] The server generates flow information to guide the user through the procedures related to the selected service and sends it to the terminal. The terminal then visually presents the detailed flow to the user.

[0636] Step 6:

[0637] The user chooses to share information with their care manager as needed. The device sends a sharing request to the server. The server formats the information for the care manager and transmits it securely.

[0638] Step 7:

[0639] The server periodically generates prompts to check the user's care status and sends them to the terminal. The terminal displays the prompt to the user and receives the updated information. Based on the updated information, the server generates new service suggestions and mental care information and sends them to the terminal again.

[0640] (Example 1)

[0641] 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".

[0642] In the process of users selecting care services and receiving optimal support, there are challenges such as complicated procedures and difficulty in quickly obtaining information on appropriate services and subsidies. Furthermore, there is a lack of timely advice to effectively promote care support tailored to the individual needs of users.

[0643] 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.

[0644] In this invention, the server includes means for providing optimal suggestions to the user using a generative AI model for analysis, means for generating flows that visually and intuitively guide the user through detailed usage procedures based on their selection, and means for checking the user's status periodically and providing necessary updates and notifications. As a result, the user can easily find the optimal care service, the procedures are simplified, and they can receive appropriate advice tailored to their individual circumstances.

[0645] "Data input means" refers to interfaces or devices used to input basic user information.

[0646] "Data verification and transfer means" refers to a system that has the function of verifying the input information in real time, ensuring its accuracy and security, and then transmitting it to the server.

[0647] "Analysis tools" refer to systems that have the function of analyzing received data and performing the process of identifying appropriate services and subsidies.

[0648] A "generative AI model" refers to an artificial intelligence technology used in analysis, specifically an algorithm that derives optimal information and suggestions based on data.

[0649] "Information presentation means" refers to the part that provides a screen or function to display specified services in a list format, allowing users to easily select them.

[0650] A "flow generation method" refers to a system that provides detailed instructions and information regarding selected services in a visual and intuitive manner.

[0651] "Information sharing means" refers to communication methods and protocols for securely sharing information and coordinating with care service managers.

[0652] A "status monitoring system" refers to a system that periodically monitors the user's status, determines new needs or updates, and notifies the user.

[0653] "User interface" refers to the elements that provide screens and operability designed to make it easier for users to interact with a system.

[0654] To implement this invention, an integrated system for providing support related to caregiving is required. This system transmits information entered by the user via a terminal to a server and automatically generates suggestions for appropriate care services and subsidies.

[0655] The first thing a user needs to do is install a dedicated care support application on their device. Using this application, the user enters necessary basic information such as their care level, income, and address. This input is done via the device's data entry system, and the format of the information is verified in real time.

[0656] The terminal securely transmits verified information to the server. The server analyzes the received information, and the analysis tool incorporates a generative AI model. This AI model uses information-based prompts to identify suitable care services and subsidies for the user. At this stage, for example, a prompt such as "Please suggest care services available to a woman in her 70s, care level 2, monthly income of 150,000 yen, residing in Setagaya Ward, Tokyo" is used.

[0657] The server's analysis results are transmitted to the terminal using an information presentation device. The terminal displays this information in a list format that makes it easy for the user to select. If the user selects a service of interest, the server uses a flow generation device to create detailed usage instructions based on that selection. These instructions are designed to be visually and intuitively understandable, and the user can review them through the terminal.

[0658] Furthermore, based on user requests, the terminal can also share necessary information with care service administrators. In this case, the server securely transmits the information using an information sharing mechanism.

[0659] Finally, the server periodically monitors the user's status using status confirmation means and notifies them of necessary updates and new suggestions. In this way, the invention simplifies the process for users to receive care support and enables quick and accurate service selection.

[0660] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0661] Step 1:

[0662] Users install a care support application on their device and enter basic information such as their care level, income, and address using the forms on the device's screen. This entered information is collected through the device's data entry system. The device verifies the accuracy of this information in real time to ensure it is entered in the correct format. If an inaccurate format is detected, an error message is displayed, prompting the user to correct it.

[0663] Step 2:

[0664] The terminal encrypts the verified information and sends it to the server using a secure communication protocol. This is the input data, which includes information such as care level and income. The server receives this data and proceeds to the next analysis step.

[0665] Step 3:

[0666] The server processes the received data using analysis tools and utilizes a generated AI model. At this stage, analysis is performed using prompt statements. Specifically, the AI ​​model is given input in the form of, "Please suggest services for a woman in her 70s, care level 2, monthly income of 150,000 yen, in Tokyo." Based on the given data, the AI ​​model outputs a list of appropriate care services and subsidies.

[0667] Step 4:

[0668] The server transmits the analysis results to the terminal using an information display device. The terminal receives the data and displays it on the screen in a user-friendly format. This includes information such as the service name, location, and price. The user can then select the services that interest them.

[0669] Step 5:

[0670] When a user selects a service, the terminal sends that selection data to the server. The server uses a flow generation mechanism to create a detailed procedural flow based on the selected service. This flow processes the data into a step-by-step format and a list of required documents, converting it into an easy-to-understand format for output.

[0671] Step 6:

[0672] The server sends the generated procedure flow to the terminal, which displays it visually and intuitively. The user can then review the procedure steps on the terminal screen and proceed accordingly.

[0673] Step 7:

[0674] If necessary, users can choose to share information with care service administrators via their devices. The device then sends this information to a server, which encrypts it using an information sharing mechanism and sends it to the care service administrator. This step allows care service administrators to obtain accurate detailed information about the user.

[0675] Step 8:

[0676] The server periodically uses status checks to verify the user's latest information. Based on the input status data, it uses a generated AI model again to discover and notify the user of new needs. The terminal displays this notification to the user and updates the information, for example, "There are new home care service options available."

[0677] (Application Example 1)

[0678] 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".

[0679] With the increasing demand for care services in modern society, it is essential for users to quickly and accurately obtain information to receive appropriate support. However, due to the complexity of the information and the intricacies of the procedures, many users find it difficult to select the right services. Furthermore, a lack of smooth information sharing with support staff leads to delays in providing optimal support.

[0680] 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.

[0681] In this invention, the server includes an input means for inputting the user's basic information, an analysis means for analyzing the input information and identifying appropriate comprehensive support, and a presentation means for displaying the identified comprehensive support in a list so that the user can select one. This makes it possible for the user to quickly select the most suitable care support and proceed with the process efficiently.

[0682] "User" refers to an individual who requires a service and inputs information through the system.

[0683] "Basic information" refers to data that includes individual attributes of the user, such as their care level, income, and regional information.

[0684] "Analysis means" refers to a component that executes a process to identify appropriate comprehensive support using generative AI technology based on information input by the user.

[0685] "Comprehensive support" refers to support such as care services and subsidies that should be provided to users.

[0686] "Presentation method" refers to a function that displays identified comprehensive support options in a list format so that users can easily understand and select them.

[0687] A "flow generation method" is a technology that generates a process to visually guide users through the procedures necessary when using the comprehensive support they have selected.

[0688] "Methods of collaboration" refers to the communication process for appropriately sharing user information with support staff and providing mutual support.

[0689] A "monitoring mechanism" is a system that periodically checks the user's status, obtains necessary update information, and provides it to the user.

[0690] "Generative AI technology" refers to algorithms that use generative artificial intelligence models to analyze user information and propose optimal comprehensive support.

[0691] A "user interface" is a set of visual or tactile components that allow users to directly interact with a system, view information, and make selections.

[0692] This invention is a system that enables users to efficiently manage information related to caregiving and to select and utilize appropriate services. The system operates primarily through a server and user terminals.

[0693] The server first receives basic user information transmitted from the user's terminal. This includes care level, income, and regional information. This information is collected through input methods and stored in a database such as Firebase. The server then uses generative AI technology (e.g., OpenAI's GPT model) to analyze the input information and identify appropriate comprehensive support.

[0694] The identified comprehensive support services are displayed in a list on the user interface through a presentation mechanism. Developed using React Native, this user interface has an intuitive design that allows users to select the appropriate service from the provided options.

[0695] For the selected comprehensive support, the necessary procedures are visually guided through the flow generation mechanism. This allows users to easily understand the procedure flow and execute it smoothly.

[0696] Furthermore, necessary information is shared with support staff using collaborative methods. This enables comprehensive support and prevents omissions or delays in necessary information.

[0697] The server also periodically checks the user's status through monitoring mechanisms and obtains updates as needed. Users receive notifications of new support and services, and these processes are performed automatically.

[0698] For example, consider a scenario where an elderly person receives notification about a new option for home care and considers further services. In this case, the AI-generated prompt would be:

[0699] Prompt: "Please propose suitable home care services for a user with a care level of 3 who resides in a specific area, and create a list of options."

[0700] This system will allow users to receive the most appropriate support, and the process will be expedited.

[0701] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0702] Step 1:

[0703] Users enter basic information such as their care level, income, and region from their device. The entered data is sent from the device to the Firebase database for data validation. Here, it is confirmed that the data is properly formatted.

[0704] Step 2:

[0705] The server retrieves user information collected from Firebase and sends it to a platform for running a generative AI model. Here, it receives a prompt: "Propose suitable home care services for a user with care level X who resides in a specific area." Based on this prompt, the AI ​​performs analysis and identifies the optimal comprehensive support.

[0706] Step 3:

[0707] The analysis results sent from the server are returned to the terminal and displayed in a list format by a user interface built with React Native. The user can then select the appropriate comprehensive support from the displayed options.

[0708] Step 4:

[0709] For the comprehensive support selected by the user, the server automatically generates the necessary procedures using a flow generation mechanism. The generated procedure flow is visually displayed on the user interface on the terminal, allowing the user to confirm how the procedure will proceed and then execute the next step.

[0710] Step 5:

[0711] If necessary, information is securely transmitted from the terminal to the support staff. The server uses a communication method to select only the necessary data and delivers it to the support staff using a communication protocol.

[0712] Step 6:

[0713] The server periodically verifies the user's status based on a pre-configured schedule and automatically initiates a process to update information when new support opportunities or services are needed. Updates are sent to the user via push notifications, and new suggestions are provided as needed.

[0714] In this way, the system efficiently processes user information and creates a flow that supports the selection of the optimal support.

[0715] 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.

[0716] This invention combines an emotion engine with systems designed to support users of care services and subsidies, thereby providing more personalized suggestions and support that take user emotions into account. In particular, by detecting the emotional state of the user while they are using the application and adjusting the service content based on that information, more effective care support becomes possible.

[0717] When a user uses an application, the device analyzes information such as voice, facial expressions, and input speed using an emotion engine to identify the user's current emotional state. For example, if the user is feeling anxious, the server adjusts the advice provided based on this emotional information to make it more reassuring. The emotional information detected by the emotion engine is also shared with care managers as needed, ensuring that care support is always provided with the user's mental health in mind.

[0718] This system begins with the input of basic care information, and then uses analysis to identify available services. The analysis results are displayed on the terminal as a list of selectable services, allowing the user to choose the service they want. Detailed information and usage flow for the selected service are presented in a format that corresponds to the user's emotional state, and the procedural guidance also changes according to their emotions. For example, if the user is showing signs of stress, the procedural guidance is provided in detail, step by step, and an interface is displayed that reduces the burden on the user.

[0719] One advantage of an emotion engine is that, during regular status checks, the user's emotions are taken into consideration, allowing for more timely service and advice delivery. For example, when a user updates care information, if anxiety or doubts are detected, the server provides information to help them relax, thereby reducing their mental burden.

[0720] Ultimately, this invention, by integrating an emotional engine, enables flexible care support that takes into account the user's emotions, providing particularly effective support for highly sensitive users. As a result, users can receive the necessary services with peace of mind, and care managers can provide high-quality support based on a deeper understanding of the user's emotions.

[0721] The following describes the processing flow.

[0722] Step 1:

[0723] The user launches the care support application and enters basic information during the initial setup. The terminal monitors this basic information entry and prepares to send it to the server once the necessary data has been entered.

[0724] Step 2:

[0725] The terminal sends the collected basic user information to the server. The server processes the received information using analytical tools to derive suggestions for available care services and subsidies. In addition, a generative AI model is used to extract services that fit the user's specific needs.

[0726] Step 3:

[0727] The server creates a list of suggested services based on the calculation results and sends it to the terminal. The terminal displays the service list to the user in a visually easy-to-understand format. The user selects the desired service from this list.

[0728] Step 4:

[0729] To guide the user through the procedures associated with the selected service, the terminal sends the user's selection information to the server. The server generates a detailed procedure flow for each service and optimizes the guidance based on the user's emotional state at that time.

[0730] Step 5:

[0731] The device's emotion engine analyzes the user's tone of voice, facial expressions, and operation patterns in real time to evaluate the user's emotions. This emotion information is sent to a server, which then adjusts the advice and service instructions it provides. For example, a user who is feeling anxious might be presented with simplified procedures.

[0732] Step 6:

[0733] If a user requests to connect with a care manager, the device sends an information sharing request to the server. The server compiles all necessary information, including emotional information, and sends it to the designated care manager. This enables the care manager to provide care based on the user's emotions.

[0734] Step 7:

[0735] The server generates and sends periodic status check prompts tailored to the user's emotional state. The device notifies the user and receives a response. Based on the new information received, the server continues to provide further service suggestions and emotional support.

[0736] (Example 2)

[0737] 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".

[0738] In current care support systems, services are often provided without considering the emotional state of the user, which can increase their mental burden. Therefore, it is necessary to provide personalized suggestions tailored to the emotional state of the user to alleviate this mental burden.

[0739] 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.

[0740] In this invention, the server includes analysis means for analyzing acquired information and the user's emotional state, suggestion generation means for generating appropriate suggestions based on the analysis results, and collaboration means for sharing information with caregivers. This makes it possible to provide care support that is tailored to the user's emotional state.

[0741] "Information gathering means" refers to devices and methods for acquiring basic user information and real-time emotional data.

[0742] "Analysis means" refers to devices and methods used to analyze acquired information and data to identify the emotional state and needs of users.

[0743] A "proposal generation means" is a device or method that creates services or advice suitable for the user based on the analysis results.

[0744] "Adjustment means" refers to devices or methods for appropriately modifying or adjusting generated suggestions according to the user's feelings.

[0745] "Presentation means" refers to devices or methods for visually or audibly displaying and presenting a prepared proposal to a user.

[0746] A "flow generation means" is a device or method for creating a sequence of steps to guide users through the procedures necessary for introducing or using a selected service.

[0747] "Means of collaboration" refer to communication devices and methods for sharing information between care providers and users.

[0748] "Status monitoring means" refers to devices or methods for periodically understanding the user's situation and collecting information on changes and updates.

[0749] This invention utilizes emotion analysis technology to provide care support that takes user emotions into consideration. When a user uses the application, the terminal uses a camera and microphone to collect data such as the user's facial expressions, voice, and input speed. This data is processed using specific software, such as an "emotion analysis algorithm" or a "natural language processing model," for emotion analysis. Specifically, existing emotion analysis tools such as IBM Watson or Microsoft Azure can be used.

[0750] The device sends the collected data to the emotion engine, which analyzes the user's emotional state. Once the analysis is complete, the results are sent to the server. Upon receiving the results, the server generates personalized suggestions tailored to the user's emotions and presents them to the device.

[0751] For example, if the device detects the user's stress while they are browsing information about care services, the server will prepare content and advice specifically designed to reassure the user and present it to them through the device. The presentation method will use a visually easy-to-understand interface so that the user can understand it intuitively.

[0752] Furthermore, the server shares information from this system with caregivers, supporting care that is based on an understanding of the user's condition.

[0753] An example of a prompt message could be, "Generate reassuring advice when the user is feeling anxious." This would enable the system to provide excellent care support that reflects the user's emotions.

[0754] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0755] Step 1:

[0756] The device collects data entered by the user. This data includes not only the user's basic information, but also facial and voice data obtained using the camera and microphone, and typing speed acquired from the input device. This input data is processed as foundational information for detecting the user's emotional state.

[0757] Step 2:

[0758] The device sends the collected data to the emotion engine. The emotion engine analyzes the input voice, facial expressions, and input patterns to identify the user's emotional state. The data processing performed here is emotion analysis using a machine learning model, and the result is the user's emotional state (e.g., happiness, anxiety, stress).

[0759] Step 3:

[0760] The server receives the results of an analysis of the emotional state transmitted from the emotion engine. Based on this, the server uses a generative AI model to generate advice and service content optimized for the user. For example, if the user is feeling anxious, the server will generate relaxing music or reassuring text.

[0761] Step 4:

[0762] The server sends the generated suggestions to the terminal. The terminal presents them to the user using a visually intuitive interface to make them easy to understand. The presented content is adjusted according to the user's emotions; for example, a user experiencing stress is provided with a simple and easy-to-understand procedural guide.

[0763] Step 5:

[0764] Users can review suggestions and advice provided in text or audio format and act accordingly. If they find the information useful, they can then proceed to the next step of selecting specific services or checking their details.

[0765] Step 6:

[0766] The device collects user response data to the information received and sends it back to the server. The server uses this feedback to improve the quality of the services and information it provides. This cycle continuously enhances the user experience and improves the accuracy of the system.

[0767] (Application Example 2)

[0768] 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".

[0769] In an aging society, care services require personalized support tailored to the psychological state of each individual user. However, conventional systems do not adequately consider the emotional state of users, resulting in a failure to adequately alleviate anxiety and stress. Improving this situation and providing higher quality care services is a challenge.

[0770] 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.

[0771] In this invention, the server includes a reception means for inputting the user's basic information, an analysis means for analyzing the input information and identifying appropriate services, and an emotion analysis means for detecting emotions and adjusting the service content based on this information. This makes it possible to provide individually optimized care services according to the user's emotional state.

[0772] A "reception means" is a device or system that provides an interface for users to input their basic information.

[0773] The "analysis means" is a function that analyzes the information entered through the reception means and identifies the most suitable care service for the user based on the results.

[0774] "Display means" refers to a device or system that visually presents a list of services identified by the analysis means to the user, allowing them to make a selection.

[0775] A "procedure generation means" is a function that generates the steps necessary for a user to use the service they have selected and guides the user through them in an easy-to-understand manner.

[0776] "Collaboration means" refers to a communication function for sharing user information with care managers, and plays a role in supporting the coordination and improvement of care services.

[0777] A "status monitoring mechanism" is a function that periodically monitors the user's status and updates the information as needed.

[0778] "Emotional analysis means" refers to a device or system that detects the emotional state of a user from their voice, facial expressions, and other inputs, and adjusts the content and method of the services provided based on the detection results.

[0779] The system for realizing this invention provides appropriate support to users when they receive care services using a device such as a smartphone or tablet, according to their emotional state. The system's hardware includes a device equipped with a camera and microphone, which allows for the real-time acquisition of the user's facial expressions and voice. The software incorporates an algorithm for emotion analysis, which analyzes the input voice and facial expression data to identify the emotional state.

[0780] The server analyzes the user's basic information and emotional data and selects an appropriate service based on that analysis. The selected services are visually displayed as a list on the terminal, allowing the user to easily choose. After the user selects a service, the server provides detailed instructions and guidance via a progress generation system. The progress generation system fine-tunes the support content according to the user's emotional state, providing information in a clear and reassuring format, especially if the user is feeling anxious or stressed.

[0781] As a concrete example, when a user visits a care facility, they can use a guidance app. If they feel anxious, the app will detect their emotional state in real time and guide them through the procedural steps in a gentle tone. This allows users to use the service with peace of mind.

[0782] An example of a prompt that utilizes a generative AI model is asking the system, "What words should I say to reassure a user who is feeling anxious before visiting a nursing home?" Based on such a prompt, the generative AI model generates the most appropriate advice to give the user a sense of security.

[0783] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0784] Step 1:

[0785] The terminal receives basic user information through an input screen. This input includes information such as name, age, and health status. The received information is temporarily stored on the terminal and prepared for transmission to the server.

[0786] Step 2:

[0787] The server receives basic information sent from the terminal and passes it to the analysis system. Here, the information is analyzed, and a list of available care services is generated. The data processing involves determining whether the conditions for service selection are met based on the input values, and identifying suitable services. The output is a list of corresponding care services.

[0788] Step 3:

[0789] The device's camera and microphone are used to acquire the user's facial expressions and voice data in real time. This data is sent to an emotion analysis system. The emotion analysis system utilizes a generative AI model to estimate emotions by prompting the user with the question, "What emotional state is the user currently in?" The output is an analysis result indicating the user's emotional state.

[0790] Step 4:

[0791] The server adjusts the service list display based on emotional state data received from the emotion analysis system. It displays the service list on the terminal in a format best suited to the user's emotional state. This display includes adjustments to colors and font sizes according to the user's emotions. Analysis results are received as input, and a customized UI is generated as output.

[0792] Step 5:

[0793] The user selects their desired service from a visually presented list of services. The terminal sends this selection information to the server. Based on the user's selection, the procedure is prepared to begin, and the necessary procedural information is retrieved.

[0794] Step 6:

[0795] The server generates the details of the procedure corresponding to the selected service via a progress generation mechanism. It generates a procedure flow that includes step-by-step guidance, taking into account the user's emotional state, and sends it to the terminal. The generated flow visually shows the steps while providing specific instructions to the user. The output provides a procedure guide that takes the user's emotions into consideration.

[0796] Step 7:

[0797] Care managers receive information about the user's chosen services and emotional state through collaborative means. This information serves as a reference for care managers when providing further support. Output of this information sharing includes notifications and detailed reports for care managers.

[0798] 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.

[0799] 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.

[0800] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0801] 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.

[0802] 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.

[0803] 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.

[0804] 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.

[0805] 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.

[0806] 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."

[0807] 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.

[0808] 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.

[0809] 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.

[0810] 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.

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] 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.

[0818] 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.

[0819] The following is further disclosed regarding the embodiments described above.

[0820] (Claim 1)

[0821] An input method for entering the user's basic information,

[0822] An analytical means for analyzing input information and identifying appropriate services,

[0823] A means of displaying a list of identified services and allowing the user to select one,

[0824] A flow generation method that guides users through the procedures required to use the selected service,

[0825] A means of collaboration for sharing information with care managers,

[0826] A means of checking the status of users periodically and obtaining update information,

[0827] A system that includes this.

[0828] (Claim 2)

[0829] The system according to claim 1, which provides advice to reduce the mental burden on the user.

[0830] (Claim 3)

[0831] The system according to claim 1, comprising an interface that visually and clearly presents the generated flow guidance.

[0832] "Example 1"

[0833] (Claim 1)

[0834] A data entry method for inputting the user's basic information,

[0835] A data verification and transfer mechanism for verifying input information in real time and transmitting it securely,

[0836] An analytical means that performs analysis to identify appropriate services and subsidies based on the information transmitted,

[0837] The analysis involves using a generative AI model to provide optimal suggestions to the user,

[0838] An information presentation method that displays a list of identified services and allows users to select from them,

[0839] A flow generation means that visually and intuitively guides users through detailed usage procedures based on their selections,

[0840] Information sharing methods for securely sharing information with care service managers,

[0841] A status check system that periodically monitors the user's status and provides necessary updates and notifications,

[0842] A system that includes this.

[0843] (Claim 2)

[0844] The system according to claim 1, comprising means for providing timely advice and suggestions in order to reduce the mental burden on users.

[0845] (Claim 3)

[0846] The system according to claim 1, comprising a user interface for displaying the generated flow guide in a visually and easily understandable manner.

[0847] "Application Example 1"

[0848] (Claim 1)

[0849] An input method for entering the user's basic information,

[0850] An analytical means for analyzing input information and identifying appropriate comprehensive support,

[0851] A presentation method that displays a list of identified comprehensive support options, allowing users to select from them,

[0852] A flowchart generation tool that guides users through the procedures required to utilize the selected comprehensive support,

[0853] A means of collaboration for sharing information with support staff,

[0854] A monitoring system to periodically check the user's status and obtain update information,

[0855] A generation method that uses generational AI technology to form optimal suggestions for users,

[0856] A system that includes this.

[0857] (Claim 2)

[0858] The system according to claim 1, which presents information intuitively and uses prompts to facilitate interaction in order to reduce the mental burden on the user.

[0859] (Claim 3)

[0860] The system according to claim 1, comprising a user interface for visually and clearly presenting the generated flow guidance, and for automatically notifying users of periodic support update information.

[0861] "Example 2 of combining an emotion engine"

[0862] (Claim 1)

[0863] Information gathering means for obtaining basic user information,

[0864] An analytical means for analyzing the acquired information and the emotional state of the user,

[0865] A proposal generation means for generating appropriate proposals based on analysis results,

[0866] A means for adjusting the generated suggestions according to the user's emotional state,

[0867] The adjusted proposals are displayed in a list, and the user can choose from various presentation methods.

[0868] A means for generating a flow for carrying out the procedures necessary to implement the selected proposal,

[0869] A means of collaboration for sharing information among care providers,

[0870] A means of checking the status of users periodically and obtaining new information,

[0871] A system that includes this.

[0872] (Claim 2)

[0873] The system according to claim 1, which detects the emotional state of a user and provides advice to reduce mental burden based on the results.

[0874] (Claim 3)

[0875] The system according to claim 1, comprising an interface that visually and clearly presents guidance generated based on an analyzed emotional state.

[0876] "Application example 2 when combining with an emotional engine"

[0877] (Claim 1)

[0878] A means of receiving user information,

[0879] An analytical tool for analyzing input information and identifying appropriate services,

[0880] A display means that lists the identified services and allows the user to select one,

[0881] A progress generation means that guides users through the procedures necessary to use the selected service,

[0882] A means of collaboration for sharing information with care managers,

[0883] A means of checking the status of users periodically and obtaining update information,

[0884] A sentiment analysis tool that detects emotions and adjusts service content based on this information,

[0885] A system that includes this.

[0886] (Claim 2)

[0887] The system according to claim 1, which reduces the mental burden on the user and provides advice tailored to their emotional state.

[0888] (Claim 3)

[0889] The system according to claim 1, comprising an interface that presents the generated progress guidance in a visually clear and easy-to-understand manner, in a format that changes according to the emotional state. [Explanation of Symbols]

[0890] 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. An input method for entering the user's basic information, An analytical means for analyzing input information and identifying appropriate services, A means of displaying a list of identified services and allowing the user to select one, A flow generation method that guides users through the procedures required to use the selected service, A means of collaboration for sharing information with care managers, A means of checking the status of users periodically and obtaining update information, A system that includes this.

2. The system according to claim 1, which provides advice to reduce the mental burden on users.

3. The system according to claim 1, comprising an interface that visually and clearly presents the generated flow guide.

Images