System

Abstract

A system is provided.SOLUTION: This system includes a means for receiving personal information inputted to a terminal by a user, a means for storing the received personal information in a database, a means for analyzing the stored personal information and matching a job suitable for the user, a means for generating matched job information and transmitting it to the terminal of the user, a means for receiving and processing application information for the job selected by the user, and a means for notifying the user of an application result.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Japan is experiencing an aging population, with the number of people aged 65 or older now accounting for approximately 30% of the total population. While healthy life expectancy has increased, many seniors are concerned about their income after retirement. To resolve this situation, a system is needed that allows seniors to find work that suits their health condition and skills, and to gain new meaning and income after retirement. However, there is currently no system that can propose work that fully takes into account individual health conditions and skills. This creates the problem of seniors finding suitable work. [Means for solving the problem]

[0005] This invention provides a system that includes a means for receiving personal information entered by a user into a terminal, a means for storing the received personal information in a database, a means for analyzing the stored personal information and matching the user with a job suitable for that user, a means for generating matched job information and sending it to the user's terminal, a means for receiving and processing application information for the job selected by the user, and a means for notifying the user of the application results. This system allows elderly people to easily find jobs that suit their health condition and reduce their anxiety about income. Furthermore, by adding a means for receiving feedback information from users and storing it in a database, the quality of the next job suggestions can be improved. Furthermore, by including a means for analyzing the relevance between health condition information and job content, it is possible to suggest jobs that are healthy and easy to work.

[0006] "User" refers to a person who uses this system to receive job offers.

[0007] "Terminal" refers to the device used by a User to enter personal information and receive job offers.

[0008] "Personal information" refers to information necessary for the system to match people with jobs, such as the user's name, age, gender, health condition, areas of expertise, past work history, and desired working style.

[0009] "Database" refers to the data storage area within the system where received personal information and feedback information is stored and accessed and analyzed as needed.

[0010] "Analysis" refers to the process of using algorithms to identify the most suitable job based on stored personal information.

[0011] "Job" refers to information including the specific job content, working conditions, wages, etc. proposed to the user.

[0012] "Matching" refers to the process of associating a user's personal information with an appropriate job role.

[0013] "Feedback information" refers to the opinions and evaluations provided by users after experiencing the work.

[0014] "Application Information" refers to information used to apply for a job that a user has selected as an interest.

[0015] "Job provider" refers to a company, organization, or individual that provides jobs. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram illustrating a processing flow of the data processing system according to the first embodiment. [Figure 12]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

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

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

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

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

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

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

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

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] The present invention provides a system that helps elderly people easily find jobs that match their health condition and skills and earn an income. This system has a function to suggest suitable jobs based on personal information entered by the user through a terminal.

[0038] System Configuration

[0039] The system of the present invention includes the following elements:

[0040] 1. User terminal:

[0041] This is a device used by seniors to enter personal information, receive job offers, and apply for jobs. Examples include computers, smartphones, and tablets.

[0042] 2. Server:

[0043] This is a central processing unit that receives personal information sent from the user's terminal, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's terminal.

[0044] 3. Database:

[0045] It is a data storage location for saving personal information and feedback information collected from users, and is accessed from the server.

[0046] System processing flow

[0047] 1. User Registration

[0048] Users (elderly people) access the system on their terminals and enter their personal information (such as name, age, gender, health condition, specialty, past work history, and desired work style). This information is sent to the server via the terminal.

[0049] 2. Data storage and analysis

[0050] The server stores the personal information received from the device in a database, which is then analyzed using an analytical algorithm to identify the most suitable job for the user, taking into account the user's health, skills, and preferred working style.

[0051] 3. Generate and submit job proposals

[0052] Based on the analysis results, the server generates a list of jobs that are best suited to the user. For example, the following jobs may be suggested:

[0053] "Senior library staff, 3 days a week, 4 hours a day, 900 yen per hour"

[0054] "Park guide, 2 days a week, 3 hours a day, 1000 yen per hour"

[0055] The generated job list is sent from the server to the user's terminal.

[0056] 4. Job selection and application

[0057] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent to the server via the terminal.

[0058] 5. Application Processing and Notification of Results

[0059] The server processes the received application information and contacts the job provider (such as the library administrator). It then arranges the interview date and application results, and notifies the user of the results. For example, it sends information such as "The interview date and time is XX day, YY time."

[0060] 6. Gathering Feedback

[0061] After completing a task, the user provides feedback to the system through their terminal. The feedback information is sent to the server and stored in the database. This feedback is used for analysis to improve the next task suggestions.

[0062] Specific examples

[0063] For example, suppose a 70-year-old user registers with the system, is in good health, and has worked as a bookstore clerk in the past. Their desired working style is three days a week, four hours a day. This information is sent from the terminal to the server, where it is analyzed. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[0064] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs, alleviates income anxiety, and provides them with a new purpose in life.

[0065] The processing flow will be explained below.

[0066] Step 1:

[0067] The user accesses the device and opens the new registration screen, where they enter personal information such as their name, age, gender, health condition, area of ​​expertise, past work history, and desired work style.

[0068] Step 2:

[0069] The device sends the entered personal information to the server, and the transmission process includes data encryption and security checks.

[0070] Step 3:

[0071] The server stores the personal information received from the device in a database. The storage process includes data integrity checks and redundancy.

[0072] Step 4:

[0073] The server analyzes the stored personal information, and the analysis algorithm identifies the most suitable job based on the employee's health, areas of expertise, past work history, and desired working style.

[0074] Step 5:

[0075] The server uses the analysis results to generate a list of suitable jobs for the user, including job details, location, hours, and wages.

[0076] Step 6:

[0077] The server sends the generated job list to the terminal, where the list is displayed on the user's interface.

[0078] Step 7:

[0079] The user reviews the list of suggested jobs on their device, selects the job they are interested in, and clicks the apply button for that job.

[0080] Step 8:

[0081] The terminal transmits the application information for the selected job to the server, and the transmission process includes data encryption and security checks.

[0082] Step 9:

[0083] The server processes the received application information. The processing process includes checking the application content and extracting necessary data.

[0084] Step 10:

[0085] The server contacts the job provider and conveys the user's application information, for example, sending the user's information to the library administrator and requesting that an interview date be arranged.

[0086] Step 11:

[0087] After the server adjusts the interview schedule and application results, it sends the result information to the terminal, including the interview date and time and the documents that need to be prepared.

[0088] Step 12:

[0089] The user checks the provided interview information and prepares for the interview, for example, checking the interview date, time, location, and documents to bring.

[0090] Step 13:

[0091] The user goes through an interview and starts working. After completing the work, the user provides feedback using the terminal.

[0092] Step 14:

[0093] The terminal transmits the user's feedback information to the server, and the transmission process includes data encryption and security checks.

[0094] Step 15:

[0095] The server stores the received feedback information in a database. The storage process includes checking the data for consistency and preparing it for analysis.

[0096] Step 16:

[0097] The server analyzes the stored feedback information and uses it to improve the next job suggestions. An algorithm is run to improve the accuracy of the suggestions based on the feedback information.

[0098] These are the specific processing steps of the system, which will help seniors find suitable jobs and provide support for them to earn an income.

[0099] Example 1

[0100] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0101] It is difficult for elderly people to easily find jobs that match their health condition and skills. In particular, to help elderly people find suitable jobs, a system is needed that can suggest suitable jobs taking into account their physical condition, skills, and desired working style. In addition, a system is needed that can continue to suggest more suitable jobs by reflecting feedback on jobs in the next job proposal.

[0102] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0103] In this invention, the server includes means for receiving personal information entered by a user into a terminal, means for storing the received personal information in a database, means for analyzing the stored personal information and matching the user with a job suitable for the user, means for generating matched job information and sending it to the user's terminal, means for receiving and processing application information for the job selected by the user, means for notifying the user of the application result, means for the user to provide feedback information after completing the job, means for storing the feedback information in a database and using it to suggest future jobs, and means for executing an analysis algorithm to link all of the above means. This makes it possible for elderly people to easily find jobs suitable for their health condition and skills, and by reflecting the feedback information in future job suggestions, even more optimal job suggestions can be made.

[0104] "Users" refer to individuals who use the system to find jobs that suit their health status and skills.

[0105] "Terminal" refers to the device used by a user to enter personal information and access the system, including, specifically, a PC, smartphone, tablet, etc.

[0106] "Personal information" refers to information necessary to propose a job, such as the user's name, age, gender, health condition, areas of expertise, past work history, and desired working style.

[0107] "Server" refers to a central processing unit that receives personal information sent by a user from a terminal, stores it in a database, analyzes it, generates job information, and sends it to the user.

[0108] "Database" refers to data storage for storing personal information and feedback information so that it can be retrieved and used as needed.

[0109] "Analysis algorithm" refers to the calculation procedures and models used to identify and suggest suitable jobs for users based on stored personal information and feedback information.

[0110] "Job Information" refers to the specific job description generated based on the analysis algorithm and transmitted to the User, including details such as job duties, working hours, and salary.

[0111] "Application Information" refers to the necessary information entered by a user when applying for a selected position.

[0112] "Feedback information" refers to the evaluation and opinions of the job provided by the user after completing the job. This information will be used in the next recommendation algorithm.

[0113] A "generative AI model" is a model that uses artificial intelligence to make job suggestions. It analyzes users' personal information and feedback information as input and suggests the most suitable jobs.

[0114] The present invention provides a system that helps elderly people easily find jobs that match their health condition and skills and earn income. Specifically, the system proposes suitable jobs based on personal information entered by the user through a terminal and performs a series of processes to manage the applications.

[0115] System Configuration

[0116] The system of the present invention includes the following elements:

[0117] 1. User terminal

[0118] These are devices that seniors use to enter personal information, receive job offers, and apply for jobs. Specific hardware used includes PCs, smartphones, and tablets.

[0119] 2. Server

[0120] This is a central processing unit that receives personal information sent from the user's terminal, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's terminal.

[0121] 3. Database

[0122] It is a data storage location for saving personal information and feedback information collected from users, and is accessed from the server.

[0123] 4. Analysis Algorithm

[0124] This model includes calculation procedures to identify the most suitable job for a user, taking into account their health condition, skills, and desired working style. This analysis algorithm uses a generative AI model.

[0125] System processing flow

[0126] Users access the system using a terminal and enter personal information such as their name, age, gender, health condition, specialty, past work history, desired work style, etc. This information is sent from the terminal to the server, which then stores it in a database.

[0127] The server then uses an analysis algorithm to analyze the data based on the stored personal information, and generates a list of optimal job suggestions based on the results of the analysis, which is then sent to the user's device.

[0128] The user checks the list of proposed jobs, selects the job they are interested in, and submits an application. The application information is then sent from the terminal to the server, where it is processed. The server then contacts the job provider and notifies the user of the interview schedule and application results.

[0129] After completing a task, the user provides feedback to the system through the terminal. The server stores this feedback in a database and uses it for analysis when making the next task suggestion.

[0130] Specific examples

[0131] For example, suppose a 70-year-old user registers with the system, is in good health, and has previously worked as a bookstore clerk. The user's desired working style is three days a week, four hours a day. This information is sent from the terminal to the server, where it is analyzed. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and is able to attend the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[0132] Prompt Sentence Examples

[0133] "A 70-year-old user has entered the system as a bookstore clerk with a good health history and a preferred work schedule of three days a week, four hours a day. What kind of job will be suggested?"

[0134] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs, alleviates income anxiety, and provides them with a new purpose in life.

[0135] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0136] Step 1:

[0137] Enter personal information

[0138] Users access the system using a terminal and enter personal information such as name, age, gender, health condition, specialty, past work history, and desired work style. Specifically, the user enters information into a web form and clicks the "Submit" button. The entered information is saved in JSON format.

[0139] Input: Personal information (name, age, gender, health condition, area of ​​expertise, past work history, desired work style)

[0140] Output: The entered personal information is temporarily saved on the device in JSON format.

[0141] Step 2:

[0142] Data transmission

[0143] The device sends the entered personal information to the server. Specifically, when the "Submit" button is clicked, the device calls the backend API endpoint and sends the personal information to the server as a POST request.

[0144] Enter: Personal information stored on your device

[0145] Output: Personal information sent to the server (JSON format)

[0146] Step 3:

[0147] Information storage

[0148] The server receives the personal information sent from the device and stores it in a database. The specific operation of the server is to convert the received data into an appropriate format and insert it into a database table.

[0149] Input: Personal information received by the server

[0150] Output: Personal information stored in a database

[0151] Step 4:

[0152] Data analysis

[0153] The server uses an analytical algorithm to identify the most suitable job based on the stored personal information. This analysis generates a list of job suggestions that take into account the user's health condition, skills, and desired working style. The server's specific operation involves calling the analytical algorithm's function and passing the necessary parameters.

[0154] Input: Personal information stored in the database

[0155] Output: A list of job suggestions generated by the analysis algorithm

[0156] Step 5:

[0157] Job List Submission

[0158] The server sends the generated job list to the user's device. Specifically, it converts the generated list into JSON format and sends it to the device via API.

[0159] Input: A list of job suggestions generated by the analysis algorithm

[0160] Output: A list of job suggestions sent to the user's device

[0161] Step 6:

[0162] Job selection

[0163] The user checks the list of suggested jobs on the terminal and selects the job they are interested in. The specific operation of the terminal is for the user to click on an option from the list.

[0164] Input: Job proposal list sent to terminal

[0165] Output: Job information selected by the user

[0166] Step 7:

[0167] Submit application

[0168] The user applies for the selected position and sends the application information from the terminal to the server. Specifically, when the user clicks the application button, the application information is sent to the server.

[0169] Input: Job information selected by the user

[0170] Output: Application information sent to the server

[0171] Step 8:

[0172] Processing application information

[0173] The server processes the received application information and contacts the job provider (e.g., library administrator). Specifically, the server sends an email to the provider or contacts them via API.

[0174] Input: Application information received by the server

[0175] Output: Application information sent to job provider

[0176] Step 9:

[0177] Result notification

[0178] The server adjusts the interview schedule and results and notifies the user. Specifically, it generates interview date and time information and sends it to the user's terminal.

[0179] Input: Interview schedule and results information generated by the server

[0180] Output: Result notification sent to the user's device

[0181] Step 10:

[0182] Feedback Input

[0183] After completing a task, the user provides feedback information through the terminal. Specifically, the user fills in the feedback form and clicks the "Submit" button.

[0184] Input: Feedback information entered by the user

[0185] Output: Feedback information stored on the device

[0186] Step 11:

[0187] Send Feedback

[0188] The device sends feedback information to the server, specifically by calling an API that sends input data to the backend.

[0189] Input: Feedback information stored on the device

[0190] Output: Feedback information sent to the server

[0191] Step 12:

[0192] Feedback saved

[0193] The server stores the received feedback information in a database, specifically by writing the feedback information into the appropriate table.

[0194] Input: Feedback information received by the server

[0195] Output: Feedback information stored in a database

[0196] Step 13:

[0197] Data analysis and feedback

[0198] The server then analyzes the stored feedback information to improve the next job suggestion. Specifically, the server uses the feedback information as input to the analysis algorithm to generate the optimal suggestion.

[0199] Input: Feedback information stored in the database

[0200] Output: Next job proposal incorporating feedback

[0201] This is the specific flow of the program's processing. Through this series of steps, users can continuously find suitable jobs, and the server can use the feedback to make even more suitable job suggestions.

[0202] (Application example 1)

[0203] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0204] It is difficult for older people to find suitable work based on their health condition and skills, and to receive appropriate support in the process of performing those jobs. Therefore, there is a need to provide an environment in which older people can work efficiently and safely.

[0205] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0206] In this invention, the server includes means for receiving personal information entered by the user into the terminal, means for storing the received personal information in a database, and means for analyzing the stored personal information and matching the user with a job suitable for that user. This enables elderly people to find a job suitable for them and receive appropriate task suggestions and support for that job.

[0207] "User Terminal" means the device used by a User to enter personal information and receive job offers.

[0208] The "server" is a central processing unit that receives personal information sent from a user terminal, stores it in a database, and analyzes it.

[0209] "Database" refers to a data storage location for storing personal information and feedback information collected from users.

[0210] "Matching" is the process of analyzing stored personal information and suggesting suitable jobs for users.

[0211] A "robot device" is a device that assists users in their work by suggesting appropriate tasks based on their characteristics and skills.

[0212] "Feedback" refers to the reactions and opinions provided by users after completing a task, which are reflected in the next task proposal.

[0213] "Health status" refers to the physical and mental health status of the user, which is important information that influences job content suggestions.

[0214] MODE FOR CARRYING OUT THE INVENTION

[0215] The present invention provides a system that supports elderly people in easily finding work that suits their health condition and skills and earning an income. This system is realized by combining the following means.

[0216] System Configuration

[0217] 1. User terminal

[0218] The user terminal is a device used by seniors to input personal information, receive job offers, and apply for jobs. Examples include smartphones, tablets, and PCs. The user terminal communicates with the server and transmits the seniors' input information and application information to the server.

[0219] 2. Server

[0220] The server receives personal information sent from the user's terminal and stores it in a database. It also analyzes the stored personal information, matches the user with a suitable job, generates job information, and sends it to the user's terminal. The server functions as the central processing unit for the entire system and also communicates with job providers.

[0221] 3. Database

[0222] The database is a data repository for storing personal information and feedback collected from users, making it possible to utilize the elderly's past work history and feedback in suggesting future jobs.

[0223] 4. Robotic Devices

[0224] The robotic devices are devices that support the work of elderly workers in factories by suggesting appropriate tasks based on their characteristics and skill sets. Specifically, they include robotic arms and exoskeletons worn by the elderly. This allows elderly workers to work efficiently and safely.

[0225] System action

[0226] User registration

[0227] Users (elderly people) access the system on their terminals and enter personal information such as their name, age, gender, health condition, specialty, past work history, and desired work style. This information is sent to the server via the terminal.

[0228] Data storage and analysis

[0229] The server stores the received personal information in a database and uses an analytical algorithm to identify the most suitable job, taking into account the user's health, skills, and preferred working style.

[0230] Generate and submit job proposals

[0231] The server generates a list of optimal jobs based on the analysis results and sends it to the user's terminal. For example, it may suggest a job such as "inspecting and packing parts."

[0232] Job selection and application

[0233] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. They then apply for the selected job through the terminal, and the application information is sent to the server.

[0234] Application processing and notification of results

[0235] The server processes the application information, contacts job providers, arranges interview dates and results, and notifies the user.

[0236] Hardware and software used

[0237] Hardware:

[0238] Smartphones and tablets (user devices)

[0239] server

[0240] Robotic arms and exoskeletons (robotic devices)

[0241] Sensors (health monitoring)

[0242] software:

[0243] SQLite (database management)

[0244] Python (data analysis and task proposals)

[0245] Specific examples

[0246] For example, a 70-year-old user registers with the system, is in good health, and has previously operated machinery in a factory. He or she would like to work three days a week, four hours a day. Based on this information, the system suggests the job of "assisting with light work (inspecting and packing parts)." The user selects this job and submits their application. Once the work begins, a robotic device supports the user and monitors their health while they work. The system automatically adjusts their workload as needed, ensuring safe and efficient work.

[0247] Example prompt for a generative AI model:

[0248] "Generate an algorithm for an application that suggests suitable light work tasks for a 70-year-old factory worker in good health based on his desired schedule (3 days a week, 4 hours a day). The tasks should include specific work content and schedule. Additionally, add a function to monitor his health status in real time and adjust as necessary."

[0249] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0250] Step 1:

[0251] User Registration

[0252] Users access the system using a user terminal and enter their personal information (name, age, gender, health condition, specialty, past work history, desired work style). The entered information is sent from the terminal to the server.

[0253] Input: Personal information entered by the user into the user terminal

[0254] Processing: The server receives the information and stores it in a database

[0255] Output: User information stored in the database

[0256] Step 2:

[0257] Data storage and analysis

[0258] The server analyzes the stored personal information, and an algorithm identifies the most suitable job for the user, taking into account their health condition, skills, and desired working style.

[0259] Input: User information stored in the database

[0260] Processing: The server analyzes the data using an analysis algorithm

[0261] Output: Optimal job information as an analysis result

[0262] Step 3:

[0263] Generate and submit job proposals

[0264] The server generates a list of optimal tasks based on the analysis results and sends it to the user's device, such as "assisting with light work (inspecting and packing parts)."

[0265] Input: Job information of analysis results

[0266] Processing: The server generates a job list and sends it to the user terminal.

[0267] Output: Job list displayed on user's terminal

[0268] Step 4:

[0269] Job selection and application

[0270] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent from the terminal to the server.

[0271] Input: User selected job role

[0272] Processing: The terminal sends the selection information to the server.

[0273] Output: Application information sent to the server

[0274] Step 5:

[0275] Application processing and notification of results

[0276] The server processes the application information, contacts job providers, schedules interviews and notifies users of the results.

[0277] Input: Job information applied for by the user

[0278] Processing: The server communicates with the job provider and coordinates the results

[0279] Output: Interview schedule and result notification sent to user terminal

[0280] Step 6:

[0281] Task suggestion and support by robotic devices

[0282] The server proposes suitable tasks based on the user's characteristics and skills, and controls the robotic device to assist with the work. During the work, sensors monitor the user's health and automatically adjust the workload as needed.

[0283] Input: User characteristics, skill information, health status

[0284] Processing: The server proposes suitable tasks and controls the robotic device.

[0285] Output: Task support and workload adjustment by robotic devices

[0286] Step 7:

[0287] Gathering feedback

[0288] After completing a task, the user provides feedback through the terminal, and the feedback information is sent from the terminal to the server and stored in the database.

[0289] Input: User-provided feedback information

[0290] Processing: The server receives the feedback and stores it in a database

[0291] Output: Feedback information stored in a database

[0292] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0293] The present invention provides a system that helps elderly people easily find jobs that match their health condition, skills, and emotional state, and helps them earn an income. This system has a function to suggest appropriate jobs based on personal information and emotional state entered by the user through a terminal.

[0294] System Configuration

[0295] The system of the present invention includes the following elements:

[0296] 1. User terminal:

[0297] This is a device that seniors use to input their personal information, have their emotional state analyzed, receive job suggestions, and apply for jobs. Examples include PCs, smartphones, and tablets.

[0298] 2. Server:

[0299] This is a central processing unit that receives personal information and emotion data sent from the user's device, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's device.

[0300] 3. Database:

[0301] It is a data storage location for saving personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[0302] 4. Emotion Engine:

[0303] This engine has the function of analyzing the user's emotional state and reflecting the results in job suggestions. The emotion engine evaluates the user's emotions using, for example, facial expression recognition, voice analysis, and biometric sensor data.

[0304] System processing flow

[0305] 1. User Registration

[0306] Users (elderly people) access the system on their terminals and enter their personal information (such as name, age, gender, health condition, specialty, past work history, and desired work style). This information is sent to the server via the terminal.

[0307] 2. Collecting Emotional Data

[0308] While the user is using the device, the emotion engine analyzes the user's facial expressions, voice, and biometric sensor data in real time, for example, capturing facial expressions using a camera and analyzing tone of voice from voice input.

[0309] 3. Data storage and analysis

[0310] The server stores the personal information and emotional data received from the device in a database. The stored data is then analyzed using an analytical algorithm to identify the most suitable job. This analytical algorithm takes into account the user's health, skills, preferred working style, and emotional state.

[0311] 4. Generate and submit job proposals

[0312] Based on the analysis results, the server generates a list of suitable jobs for the user. For example, the following jobs are suggested:

[0313] "Senior library staff, 3 days a week, 4 hours a day, 900 yen per hour"

[0314] "Park guide, 2 days a week, 3 hours a day, 1000 yen per hour"

[0315] The generated job list is sent from the server to the user's terminal.

[0316] 5. Job Selection and Application

[0317] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent to the server via the terminal.

[0318] 6. Application Processing and Notification of Results

[0319] The server processes the received application information and contacts the job provider (such as the library administrator). It then arranges the interview date and application results, and notifies the user of the results. For example, it sends information such as "The interview date and time is XX day, YY time."

[0320] 7. Gathering Feedback

[0321] After completing a task, the user provides feedback to the system through their terminal. The feedback information is sent to the server and stored in the database. This feedback is used for analysis to improve the next task suggestions.

[0322] Specific examples

[0323] For example, suppose a 70-year-old user registers with the system, is in good health, and has previously worked as a bookstore clerk. The desired working style is three days a week, four hours a day. Along with this information, the emotion engine analyzes the user's facial expressions and voice to detect a positive emotional state. This information is sent from the device to the server for analysis. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator to schedule an interview. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[0324] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs and supports them in earning income while taking into consideration their emotional state.

[0325] The processing flow will be explained below.

[0326] Step 1:

[0327] The user accesses the device and opens the new registration screen, where they enter personal information such as their name, age, gender, health condition, area of ​​expertise, past work history, and desired work style.

[0328] Step 2:

[0329] The device sends the entered personal information to the server, and the transmission process includes data encryption and security checks.

[0330] Step 3:

[0331] The server stores the personal information received from the device in a database. The storage process includes data integrity checks and redundancy.

[0332] Step 4:

[0333] While the user is using the device, the emotion engine analyzes the user's facial expressions, voice, and biometric sensor data in real time, for example, capturing facial expressions using a camera and analyzing tone of voice from voice input.

[0334] Step 5:

[0335] The device sends the collected emotion data to a server, and the transmission process includes data encryption and security checks.

[0336] Step 6:

[0337] The server stores the emotion data received from the device in a database. The storage process includes data integrity checks and redundancy.

[0338] Step 7:

[0339] The server analyzes the stored personal information and emotional data, and the analysis algorithm takes into account the employee's health, areas of expertise, past work history, desired working style, and emotional state to identify the most suitable job.

[0340] Step 8:

[0341] The server uses the analysis results to generate a list of suitable jobs for the user, including job details, location, hours, and wages.

[0342] Step 9:

[0343] The server sends the generated job list to the terminal, where the list is displayed on the user's interface.

[0344] Step 10:

[0345] The user reviews the list of suggested jobs on their device, selects the job they are interested in, and clicks the apply button for that job.

[0346] Step 11:

[0347] The terminal transmits the application information for the selected job to the server, and the transmission process includes data encryption and security checks.

[0348] Step 12:

[0349] The server processes the received application information. The processing process includes checking the application content and extracting necessary data.

[0350] Step 13:

[0351] The server contacts the job provider and conveys the user's application information, for example, sending the user's information to the library administrator and requesting that an interview date be arranged.

[0352] Step 14:

[0353] After the server adjusts the interview schedule and application results, it sends the result information to the terminal, including the interview date and time and the documents that need to be prepared.

[0354] Step 15:

[0355] The user checks the provided interview information and prepares for the interview, for example, checking the interview date, time, location, and documents to bring.

[0356] Step 16:

[0357] The user goes through an interview and starts working. After completing the work, the user provides feedback using the terminal.

[0358] Step 17:

[0359] The terminal transmits the user's feedback information to the server, and the transmission process includes data encryption and security checks.

[0360] Step 18:

[0361] The server stores the received feedback information in a database. The storage process includes checking the data for consistency and preparing it for analysis.

[0362] Step 19:

[0363] The server utilizes the stored feedback information and emotion data for the next job suggestion, and executes an algorithm to improve the accuracy of the suggestion based on the feedback information.

[0364] As a specific example, consider a 70-year-old user who registers with the system, is in good health, and has previously worked as a bookstore clerk. The desired working style is three days a week, four hours a day. Along with this information, the emotion engine analyzes the user's facial expressions and voice to detect a positive emotional state. This information is sent from the device to the server for analysis. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[0365] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs and supports them in earning income while taking into consideration their emotional state.

[0366] Example 2

[0367] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0368] Currently, it is difficult for older people to easily find work that matches their health condition, skills, and emotional state. Furthermore, the process of selecting and applying for work is cumbersome, and there are limited ways to receive appropriate feedback, making it difficult for this feedback to be reflected in future job proposals.

[0369] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0370] In this invention, the server includes means for receiving personal information and emotional data entered by the user into the terminal and storing them in a database, means for analyzing the stored personal information and emotional data and matching the user with a job suitable for that user, means for generating the matched job information and sending it to the user's terminal, means for receiving and processing application information for the job selected by the user, means for notifying the user of the application result, means for analyzing the user's emotional state and reflecting the results in job suggestions, means for receiving the user's feedback information, storing the feedback information in a database, and using the feedback information for the next job suggestion, means for analyzing the relevance between information on the user's health status and job content, and means for collecting the user's emotional data in real time and generating job suggestions for the user based on that data. This allows seniors to easily find suitable jobs and enables job suggestions that take into account their emotional state and feedback.

[0371] "User" means an individual who uses the System to search for and apply for jobs.

[0372] "Terminal" refers to a device that allows a user to access the system, input information, and receive job offers. Specifically, this includes PCs, smartphones, tablets, etc.

[0373] "Server" refers to a central processing unit that receives, stores, analyzes, proposes jobs, and processes applications for information sent by users.

[0374] A "database" is a data storage location for saving and managing users' personal information, emotional data, feedback information, etc.

[0375] "Emotional data" refers to data that indicates the user's emotional state, such as data obtained from a facial recognition camera, a voice analysis device, or a biometric sensor.

[0376] "Job suggestions" are a list of jobs suitable for a user, which are generated by the server by analyzing the user's personal information and emotional data.

[0377] "Application Information" refers to information relating to an application made by a User for a particular position.

[0378] "Analysis Algorithm" refers to the calculation methods and programs used by the server to identify the most suitable job based on user data. Specifically, this includes machine learning and AI technologies.

[0379] "Feedback information" refers to evaluations and opinions about a job provided by a user after the job is completed.

[0380] "Matching" refers to the process in which the server analyzes a user's personal information and emotional data and selects a job that is suitable for the user based on the results.

[0381] "Real-time" means that data collection and processing are carried out in real time, and the results are reflected to users immediately.

[0382] This invention relates to a system that helps elderly people find jobs that match their health condition, skills, and emotional state, and helps them earn an income. This system has the function of suggesting appropriate jobs based on personal information and emotional data entered by the user through a terminal.

[0383] System Configuration

[0384] The system of the present invention includes the following elements:

[0385] 1. User terminal:

[0386] The device used by seniors to input personal information, have their emotional state analyzed, receive job suggestions, and apply for jobs can be a PC, smartphone, or tablet.

[0387] 2. Server:

[0388] This is a central processing unit that receives personal information and emotion data sent from the user's device, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's device.

[0389] 3. Database:

[0390] It is a data storage location for saving personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[0391] 4. Emotion Engine:

[0392] This engine has the function of analyzing the user's emotional state and reflecting the results in job suggestions. The emotion engine evaluates the user's emotions using, for example, facial expression recognition, voice analysis, and biometric sensor data.

[0393] Specific examples

[0394] For example, when a 70-year-old user registers with the system using a computer, they enter information such as their name, age, gender, health condition, areas of expertise, past work experience, and desired work style. At the same time, they are asked for consent to use a camera to capture their facial expressions and a microphone to analyze their voice. This information is sent to the server and stored in a database. The server then analyzes this information and proposes a position as "senior library staff member." When the user selects this position and submits an application, the server contacts the library administrator, arranges an interview date, and notifies the user of the results. After completing the job, the user provides feedback, which is used in the analysis for the next job proposal.

[0395] Prompt Sentence Examples

[0396] "A 70-year-old user is looking for a job that requires them to work 3 days a week, 4 hours a day. Their previous work experience was as a bookstore clerk and they are in good health. The facial recognition camera and voice analyzer detect a positive emotional state. Please suggest suitable jobs for this user."

[0397] Through these steps, the present invention helps seniors find suitable jobs and helps them earn an income while also taking into consideration their emotional state.

[0398] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0399] Step 1:

[0400] User Registration

[0401] Users access the system using devices such as computers, smartphones, and tablets.

[0402] Input: Personal information such as name, age, gender, health condition, areas of expertise, past work experience, and desired work style.

[0403] Specific operations: The user enters the necessary personal information through the input form on the terminal and presses the send button.

[0404] Output: The device sends this information to the server.

[0405] Step 2:

[0406] Collecting Emotional Data

[0407] While the user is using the device, the system collects the user's facial expressions and voice in real time.

[0408] Input: facial expression data from the camera, audio data from the microphone, biometric sensor data.

[0409] How it works: The camera captures the user's face and the emotion engine analyzes their facial expressions, while the microphone collects their tone of voice for voice analysis.

[0410] Output: Collected emotion data is sent to the server in real time.

[0411] Step 3:

[0412] Data storage and analysis

[0413] The server stores the personal information and emotion data sent from the terminal in a database.

[0414] Input: Personal information data, emotional data such as facial expressions and voice.

[0415] How it works: Personal information and emotional data are stored in a database, and then the stored data is subjected to an analysis algorithm, which uses machine learning algorithms to take into account factors such as health status, skills, and emotional state.

[0416] Output: As a result of the analysis, a list of jobs that are best suited for the user is generated.

[0417] Step 4:

[0418] Generate and submit job proposals

[0419] Based on the analysis results, the server generates a list of jobs appropriate for the user and sends it to the terminal.

[0420] Input: Analysis results from the database.

[0421] What it does: A recommendation engine runs on the server side and generates a list of jobs that are best suited to the user.

[0422] Output: The generated job list is sent to the user's terminal.

[0423] Step 5:

[0424] Job selection and application

[0425] The user checks the list of proposed jobs on the terminal, selects the job that interests them, and submits an application.

[0426] Input: Proposed job list.

[0427] Specific behavior: The user scrolls through the list of suggested jobs on their device, selects the job they are interested in, and then clicks the job application button.

[0428] Output: The application information for the selected job is sent to the server.

[0429] Step 6:

[0430] Application processing and notification of results

[0431] The server processes the received application information, contacts the job provider, and notifies the user of the results.

[0432] Input: Job application information.

[0433] Specific operation: The server contacts the job provider (e.g., library administrator) to arrange the interview schedule and application results. After arrangement, the server sends the results to the user's terminal.

[0434] Output: The interview schedule and results will be displayed on the terminal.

[0435] Step 7:

[0436] Gathering feedback

[0437] After completing a task, the user provides feedback to the system through the terminal.

[0438] Input: Job feedback information.

[0439] Specific actions: The user fills out a feedback form on the device and submits it.

[0440] Output: The feedback information is sent to the server and stored in the database. The server will use this feedback information in the next job proposal.

[0441] This will make it easier for older people to find suitable jobs and will enable job suggestions that take into account their emotional state and feedback.

[0442] (Application example 2)

[0443] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0444] It is difficult for elderly people to find appropriate work that suits their health, skills, and emotional state, which hinders the effective use of labor. It is also necessary to create an environment where elderly people can quickly select appropriate work at work sites such as logistics centers and work with peace of mind.

[0445] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0446] In this invention, the server includes: means for receiving personal information entered by a user into a terminal; means for storing the received personal information in a database; means for analyzing the stored personal information and matching the user with a job suitable for the user; means for generating matched job information and sending it to the user's terminal; means for receiving and processing application information for the job selected by the user; means for notifying the user of the application result; means for analyzing the user's facial expression and voice in real time using a camera and microphone mounted on the terminal and evaluating the user's emotional state; and means for selecting a job based on the emotional state. This makes it easier for elderly people to find the job that best suits their health condition and skills, and makes it possible to provide an appropriate work environment that takes their emotional state into consideration.

[0447] "User" refers to a person who inputs personal information and emotional state through a terminal and is offered suitable jobs.

[0448] "Device" refers to a device used by a user to input personal information or emotional state, including a PC, smartphone, tablet, smart glasses, etc.

[0449] "Personal information" refers to information such as the user's name, age, gender, health condition, areas of expertise, past work history, and desired working style.

[0450] The "database" is a data storage location that stores received personal information, emotional data, and feedback information, and is accessed from the server.

[0451] The "server" is a central processing unit that receives personal information and emotion data sent from the user terminal, stores them in a database, and analyzes them.

[0452] "Emotional state" refers to the psychological and emotional state that is evaluated by analyzing the user's facial expressions, voice, biometric sensor data, etc.

[0453] "Camera" refers to the photographic device installed on the device that captures the user's facial expressions.

[0454] "Microphone" refers to a voice input device installed on a terminal for recording the user's voice.

[0455] "Emotion analysis" refers to the process of assessing a user's emotional state based on data collected using a camera or microphone.

[0456] "Job" refers to the work or job title suggested to a user, and is selected based on the user's health, skills, and emotional state.

[0457] "Job suggestions" refers to a list of appropriate tasks and job titles provided to users based on the analysis results.

[0458] "Application" refers to the process you go through to apply for a selected position.

[0459] "Feedback" refers to information provided to the system by users about their experiences and opinions after completing a task.

[0460] The present invention is a system that makes it easy for elderly people to find jobs that suit their health, skills, and emotional state. This system is designed with a particular focus on supporting work in logistics centers. The following describes in detail the embodiments of the present invention.

[0461] System Configuration

[0462] The system of the present invention includes the following elements:

[0463] 1. User terminal: A device used by seniors to input personal information and emotional state, receive job suggestions, and apply for specific tasks. Smart glasses are examples of this.

[0464] 2. Server: A central processing unit that receives personal information and emotion data sent from the user terminal, stores them in a database, and analyzes them. It also generates job suggestions based on the analysis results and sends them to the user terminal.

[0465] 3. Database: A data repository that stores personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[0466] 4. Emotion Engine: This system evaluates the user's emotional state in real time based on facial expressions, voice data, etc., and reflects the results in job suggestions. This is done using a camera and microphone.

[0467] System Operation

[0468] First, the user (elderly person) accesses the system through smart glasses and enters their personal information (name, age, gender, health condition, specialty, past work history, desired work style, etc.). This information is sent to the server via the terminal.

[0469] Next, the camera and microphone built into the smart glasses capture the user's facial expressions and voice in real time, and the emotion engine analyzes the data, evaluates the user's emotional state as a result, and sends the data to the server.

[0470] The server stores the received personal information and emotional data in a database and uses an analytical algorithm to identify the most suitable job for the user, taking into account the user's health, skills, desired working style, and real-time emotional state.

[0471] The job suggestions generated as a result of the analysis (e.g., "light work" or "inventory") are sent from the server to the smart glasses. The user visually checks them, selects the appropriate job, and applies for it. This application information is sent back to the server, and after processing, the user is notified of the results.

[0472] Examples of concrete examples and prompts

[0473] A 70-year-old user accesses the system using smart glasses and enters personal information such as age, past work history (bookstore clerk), health status (good), and desired work schedule (three days a week, four hours a day).

[0474] The smart glasses use a camera to capture facial expressions and a microphone to collect tone of voice, and emotion analysis detects positive emotional states.

[0475] When this information is sent to the server, the system analyzes it and suggests "light work" and "inventory." The user confirms this and selects "light work" to apply. The application information is processed on the server, and the user is notified of the interview schedule and other details.

[0476] Prompt Sentence Examples

[0477] "Ichiro Tanaka registered with the system, was in good health, and had previously worked as a bookstore clerk. Facial and voice analysis detected a positive emotional state. Based on this information, the system suggested "light work" and "inventory taking."

[0478] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0479] Step 1:

[0480] The user enters personal information (such as name, age, gender, health condition, areas of expertise, past work history, and desired working style) through the smart glasses and sends it to the terminal.

[0481] Input: Name, age, gender, health condition, areas of expertise, past work experience, desired work style, etc.

[0482] Output: Personal information is stored on the device and sent to a server.

[0483] Specific operation: The user inputs information using the GUI of the smart glasses and presses the send button. The device then sends the input data to the server.

[0484] Step 2:

[0485] The server receives the personal information sent from the terminal and stores it in a database.

[0486] Input: Personal information sent from your device.

[0487] Output: Personal information is saved in a database.

[0488] What happens: The server receives the HTTP request and executes an SQL query to insert personal information into a database.

[0489] Step 3:

[0490] The device (smart glasses) has a built-in camera and microphone that capture the user's facial expressions and voice, which are then recorded as emotional data.

[0491] Input: facial expression data (images) and audio data.

[0492] Output: Captured facial expression and speech data.

[0493] What it does: The smart glasses' camera periodically takes pictures of the user's face, and the microphone records audio.

[0494] Step 4:

[0495] The facial expression and voice data captured by the device is analyzed by an emotion engine to evaluate the emotional state.

[0496] Input: facial expression and speech data.

[0497] Output: Emotional state score.

[0498] What it does: The device runs an emotion analysis algorithm, analyzes facial and voice data, and calculates an emotion score.

[0499] Step 5:

[0500] The device transmits the evaluated emotional state score to the server.

[0501] Input: Emotional state score.

[0502] Output: The emotional state score is sent to the server.

[0503] Specific operation: The device sends a data packet containing the emotion score to the server via an HTTP request.

[0504] Step 6:

[0505] The server performs job analysis using the received emotional state score and personal information, and suggests the most suitable job.

[0506] Input: Personal information and emotional state score.

[0507] Output: A list of job suggestions.

[0508] What it does: The server retrieves personal information and sentiment scores from the database and runs a job suggestion algorithm to generate a list of optimal jobs.

[0509] Step 7:

[0510] The server transmits the generated job proposal list to the terminal and displays it to the user.

[0511] Input: Job proposal list.

[0512] Output: A list of job suggestions is displayed on the terminal.

[0513] Specific operation: The server sends a data packet containing a list of job suggestions to the terminal as an HTTP response, and the terminal displays it to the user.

[0514] Step 8:

[0515] The user selects the desired job from the proposed jobs and sends the application information from the terminal to the server.

[0516] Enter: Application information for the selected position.

[0517] Output: The job application information is sent to the server.

[0518] Specific operation: When the user selects a job position in the GUI of the smart glasses and presses the application button, the device sends the application information to the server.

[0519] Step 9:

[0520] The server processes the received job application information, generates a result, and notifies the user.

[0521] Input: Job application information.

[0522] Output: Application results.

[0523] Specific operation: The server cooperates with the job provider, processes the application information, generates the results, and sends them to the terminal to notify the user.

[0524] Examples of concrete examples and prompts

[0525] A 70-year-old user accesses the system using smart glasses and enters personal information such as "age," "past work history (bookstore clerk)," "health condition (good)," and "desired work style (3 days a week, 4 hours a day)." The smart glasses use a camera to capture "facial expressions" and a microphone to collect "tone of voice." As a result of emotion analysis, a "positive emotional state" is detected, and this information is sent to the server. The system suggests "light work" and "inventory taking," and the user selects "light work" and submits a request, after which the server notifies the user of the result.

[0526] Prompt Sentence Examples

[0527] "Ichiro Tanaka registered with the system, was in good health, and had previously worked as a bookstore clerk. Facial and voice analysis detected a positive emotional state. Based on this information, the system suggested "light work" and "inventory taking."

[0528] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0529] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0530] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0531] [Second embodiment]

[0532] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0533] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0534] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0535] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0536] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0537] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0538] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0539] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0540] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0541] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0542] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0543] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0544] The present invention provides a system that helps elderly people easily find jobs that match their health condition and skills and earn an income. This system has a function to suggest suitable jobs based on personal information entered by the user through a terminal.

[0545] System Configuration

[0546] The system of the present invention includes the following elements:

[0547] 1. User terminal:

[0548] This is a device used by seniors to enter personal information, receive job offers, and apply for jobs. Examples include computers, smartphones, and tablets.

[0549] 2. Server:

[0550] This is a central processing unit that receives personal information sent from the user's terminal, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's terminal.

[0551] 3. Database:

[0552] It is a data storage location for saving personal information and feedback information collected from users, and is accessed from the server.

[0553] System processing flow

[0554] 1. User Registration

[0555] Users (elderly people) access the system on their terminals and enter their personal information (such as name, age, gender, health condition, specialty, past work history, and desired work style). This information is sent to the server via the terminal.

[0556] 2. Data storage and analysis

[0557] The server stores the personal information received from the device in a database, which is then analyzed using an analytical algorithm to identify the most suitable job for the user, taking into account the user's health, skills, and preferred working style.

[0558] 3. Generate and submit job proposals

[0559] Based on the analysis results, the server generates a list of jobs that are best suited to the user. For example, the following jobs may be suggested:

[0560] "Senior library staff, 3 days a week, 4 hours a day, 900 yen per hour"

[0561] "Park guide, 2 days a week, 3 hours a day, 1000 yen per hour"

[0562] The generated job list is sent from the server to the user's terminal.

[0563] 4. Job selection and application

[0564] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent to the server via the terminal.

[0565] 5. Application Processing and Notification of Results

[0566] The server processes the received application information and contacts the job provider (such as the library administrator). It then arranges the interview date and application results, and notifies the user of the results. For example, it sends information such as "The interview date and time is XX day, YY time."

[0567] 6. Gathering Feedback

[0568] After completing a task, the user provides feedback to the system through their terminal. The feedback information is sent to the server and stored in the database. This feedback is used for analysis to improve the next task suggestions.

[0569] Specific examples

[0570] For example, suppose a 70-year-old user registers with the system, is in good health, and has worked as a bookstore clerk in the past. Their desired working style is three days a week, four hours a day. This information is sent from the terminal to the server, where it is analyzed. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[0571] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs, alleviates income anxiety, and provides them with a new purpose in life.

[0572] The processing flow will be explained below.

[0573] Step 1:

[0574] The user accesses the device and opens the new registration screen, where they enter personal information such as their name, age, gender, health condition, area of ​​expertise, past work history, and desired work style.

[0575] Step 2:

[0576] The device sends the entered personal information to the server, and the transmission process includes data encryption and security checks.

[0577] Step 3:

[0578] The server stores the personal information received from the device in a database. The storage process includes data integrity checks and redundancy.

[0579] Step 4:

[0580] The server analyzes the stored personal information, and the analysis algorithm identifies the most suitable job based on the employee's health, areas of expertise, past work history, and desired working style.

[0581] Step 5:

[0582] The server uses the analysis results to generate a list of suitable jobs for the user, including job details, location, hours, and wages.

[0583] Step 6:

[0584] The server sends the generated job list to the terminal, where the list is displayed on the user's interface.

[0585] Step 7:

[0586] The user reviews the list of suggested jobs on their device, selects the job they are interested in, and clicks the apply button for that job.

[0587] Step 8:

[0588] The terminal transmits the application information for the selected job to the server, and the transmission process includes data encryption and security checks.

[0589] Step 9:

[0590] The server processes the received application information. The processing process includes checking the application content and extracting necessary data.

[0591] Step 10:

[0592] The server contacts the job provider and conveys the user's application information, for example, sending the user's information to the library administrator and requesting that an interview date be arranged.

[0593] Step 11:

[0594] After the server adjusts the interview schedule and application results, it sends the result information to the terminal, including the interview date and time and the documents that need to be prepared.

[0595] Step 12:

[0596] The user checks the provided interview information and prepares for the interview, for example, checking the interview date, time, location, and documents to bring.

[0597] Step 13:

[0598] The user goes through an interview and starts working. After completing the work, the user provides feedback using the terminal.

[0599] Step 14:

[0600] The terminal transmits the user's feedback information to the server, and the transmission process includes data encryption and security checks.

[0601] Step 15:

[0602] The server stores the received feedback information in a database. The storage process includes checking the data for consistency and preparing it for analysis.

[0603] Step 16:

[0604] The server analyzes the stored feedback information and uses it to improve the next job suggestions. An algorithm is run to improve the accuracy of the suggestions based on the feedback information.

[0605] These are the specific processing steps of the system, which will help seniors find suitable jobs and provide support for them to earn an income.

[0606] Example 1

[0607] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0608] It is difficult for elderly people to easily find jobs that match their health condition and skills. In particular, to help elderly people find suitable jobs, a system is needed that can suggest suitable jobs taking into account their physical condition, skills, and desired working style. In addition, a system is needed that can continue to suggest more suitable jobs by reflecting feedback on jobs in the next job proposal.

[0609] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0610] In this invention, the server includes means for receiving personal information entered by a user into a terminal, means for storing the received personal information in a database, means for analyzing the stored personal information and matching the user with a job suitable for the user, means for generating matched job information and sending it to the user's terminal, means for receiving and processing application information for the job selected by the user, means for notifying the user of the application result, means for the user to provide feedback information after completing the job, means for storing the feedback information in a database and using it to suggest future jobs, and means for executing an analysis algorithm to link all of the above means. This makes it possible for elderly people to easily find jobs suitable for their health condition and skills, and by reflecting the feedback information in future job suggestions, even more optimal job suggestions can be made.

[0611] "Users" refer to individuals who use the system to find jobs that suit their health status and skills.

[0612] "Terminal" refers to the device used by a user to enter personal information and access the system, including, specifically, a PC, smartphone, tablet, etc.

[0613] "Personal information" refers to information necessary to propose a job, such as the user's name, age, gender, health condition, areas of expertise, past work history, and desired working style.

[0614] "Server" refers to a central processing unit that receives personal information sent by a user from a terminal, stores it in a database, analyzes it, generates job information, and sends it to the user.

[0615] "Database" refers to data storage for storing personal information and feedback information so that it can be retrieved and used as needed.

[0616] "Analysis algorithm" refers to the calculation procedures and models used to identify and suggest suitable jobs for users based on stored personal information and feedback information.

[0617] "Job Information" refers to the specific job description generated based on the analysis algorithm and transmitted to the User, including details such as job duties, working hours, and salary.

[0618] "Application Information" refers to the necessary information entered by a user when applying for a selected position.

[0619] "Feedback information" refers to the evaluation and opinions of the job provided by the user after completing the job. This information will be used in the next recommendation algorithm.

[0620] A "generative AI model" is a model that uses artificial intelligence to make job suggestions. It analyzes users' personal information and feedback information as input and suggests the most suitable jobs.

[0621] The present invention provides a system that helps elderly people easily find jobs that match their health condition and skills and earn income. Specifically, the system proposes suitable jobs based on personal information entered by the user through a terminal and performs a series of processes to manage the applications.

[0622] System Configuration

[0623] The system of the present invention includes the following elements:

[0624] 1. User terminal

[0625] These are devices that seniors use to enter personal information, receive job offers, and apply for jobs. Specific hardware used includes PCs, smartphones, and tablets.

[0626] 2. Server

[0627] This is a central processing unit that receives personal information sent from the user's terminal, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's terminal.

[0628] 3. Database

[0629] It is a data storage location for saving personal information and feedback information collected from users, and is accessed from the server.

[0630] 4. Analysis Algorithm

[0631] This model includes calculation procedures to identify the most suitable job for a user, taking into account their health condition, skills, and desired working style. This analysis algorithm uses a generative AI model.

[0632] System processing flow

[0633] Users access the system using a terminal and enter personal information such as their name, age, gender, health condition, specialty, past work history, desired work style, etc. This information is sent from the terminal to the server, which then stores it in a database.

[0634] The server then uses an analysis algorithm to analyze the data based on the stored personal information, and generates a list of optimal job suggestions based on the results of the analysis, which is then sent to the user's device.

[0635] The user checks the list of proposed jobs, selects the job they are interested in, and submits an application. The application information is then sent from the terminal to the server, where it is processed. The server then contacts the job provider and notifies the user of the interview schedule and application results.

[0636] After completing a task, the user provides feedback to the system through the terminal. The server stores this feedback in a database and uses it for analysis when making the next task suggestion.

[0637] Specific examples

[0638] For example, suppose a 70-year-old user registers with the system, is in good health, and has previously worked as a bookstore clerk. The user's desired working style is three days a week, four hours a day. This information is sent from the terminal to the server, where it is analyzed. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and is able to attend the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[0639] Prompt Sentence Examples

[0640] "A 70-year-old user has entered the system as a bookstore clerk with a good health history and a preferred work schedule of three days a week, four hours a day. What kind of job will be suggested?"

[0641] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs, alleviates income anxiety, and provides them with a new purpose in life.

[0642] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0643] Step 1:

[0644] Enter personal information

[0645] Users access the system using a terminal and enter personal information such as name, age, gender, health condition, specialty, past work history, and desired work style. Specifically, the user enters information into a web form and clicks the "Submit" button. The entered information is saved in JSON format.

[0646] Input: Personal information (name, age, gender, health condition, area of ​​expertise, past work history, desired work style)

[0647] Output: The entered personal information is temporarily saved on the device in JSON format.

[0648] Step 2:

[0649] Data transmission

[0650] The device sends the entered personal information to the server. Specifically, when the "Submit" button is clicked, the device calls the backend API endpoint and sends the personal information to the server as a POST request.

[0651] Enter: Personal information stored on your device

[0652] Output: Personal information sent to the server (JSON format)

[0653] Step 3:

[0654] Information storage

[0655] The server receives the personal information sent from the device and stores it in a database. The specific operation of the server is to convert the received data into an appropriate format and insert it into a database table.

[0656] Input: Personal information received by the server

[0657] Output: Personal information stored in a database

[0658] Step 4:

[0659] Data analysis

[0660] The server uses an analytical algorithm to identify the most suitable job based on the stored personal information. This analysis generates a list of job suggestions that take into account the user's health condition, skills, and desired working style. The server's specific operation involves calling the analytical algorithm's function and passing the necessary parameters.

[0661] Input: Personal information stored in the database

[0662] Output: A list of job suggestions generated by the analysis algorithm

[0663] Step 5:

[0664] Job List Submission

[0665] The server sends the generated job list to the user's device. Specifically, it converts the generated list into JSON format and sends it to the device via API.

[0666] Input: A list of job suggestions generated by the analysis algorithm

[0667] Output: A list of job suggestions sent to the user's device

[0668] Step 6:

[0669] Job selection

[0670] The user checks the list of suggested jobs on the terminal and selects the job they are interested in. The specific operation of the terminal is for the user to click on an option from the list.

[0671] Input: Job proposal list sent to terminal

[0672] Output: Job information selected by the user

[0673] Step 7:

[0674] Submit application

[0675] The user applies for the selected position and sends the application information from the terminal to the server. Specifically, when the user clicks the application button, the application information is sent to the server.

[0676] Input: Job information selected by the user

[0677] Output: Application information sent to the server

[0678] Step 8:

[0679] Processing application information

[0680] The server processes the received application information and contacts the job provider (e.g., library administrator). Specifically, the server sends an email to the provider or contacts them via API.

[0681] Input: Application information received by the server

[0682] Output: Application information sent to job provider

[0683] Step 9:

[0684] Result notification

[0685] The server adjusts the interview schedule and results and notifies the user. Specifically, it generates interview date and time information and sends it to the user's terminal.

[0686] Input: Interview schedule and results information generated by the server

[0687] Output: Result notification sent to the user's device

[0688] Step 10:

[0689] Feedback Input

[0690] After completing a task, the user provides feedback information through the terminal. Specifically, the user fills in the feedback form and clicks the "Submit" button.

[0691] Input: Feedback information entered by the user

[0692] Output: Feedback information stored on the device

[0693] Step 11:

[0694] Send Feedback

[0695] The device sends feedback information to the server, specifically by calling an API that sends input data to the backend.

[0696] Input: Feedback information stored on the device

[0697] Output: Feedback information sent to the server

[0698] Step 12:

[0699] Feedback saved

[0700] The server stores the received feedback information in a database, specifically by writing the feedback information into the appropriate table.

[0701] Input: Feedback information received by the server

[0702] Output: Feedback information stored in a database

[0703] Step 13:

[0704] Data analysis and feedback

[0705] The server then analyzes the stored feedback information to improve the next job suggestion. Specifically, the server uses the feedback information as input to the analysis algorithm to generate the optimal suggestion.

[0706] Input: Feedback information stored in the database

[0707] Output: Next job proposal incorporating feedback

[0708] This is the specific flow of the program's processing. Through this series of steps, users can continuously find suitable jobs, and the server can use the feedback to make even more suitable job suggestions.

[0709] (Application example 1)

[0710] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0711] It is difficult for older people to find suitable work based on their health condition and skills, and to receive appropriate support in the process of performing those jobs. Therefore, there is a need to provide an environment in which older people can work efficiently and safely.

[0712] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0713] In this invention, the server includes means for receiving personal information entered by the user into the terminal, means for storing the received personal information in a database, and means for analyzing the stored personal information and matching the user with a job suitable for that user. This enables elderly people to find a job suitable for them and receive appropriate task suggestions and support for that job.

[0714] "User Terminal" means the device used by a User to enter personal information and receive job offers.

[0715] The "server" is a central processing unit that receives personal information sent from a user terminal, stores it in a database, and analyzes it.

[0716] "Database" refers to a data storage location for storing personal information and feedback information collected from users.

[0717] "Matching" is the process of analyzing stored personal information and suggesting suitable jobs for users.

[0718] A "robot device" is a device that assists users in their work by suggesting appropriate tasks based on their characteristics and skills.

[0719] "Feedback" refers to the reactions and opinions provided by users after completing a task, which are reflected in the next task proposal.

[0720] "Health status" refers to the physical and mental health status of the user, which is important information that influences job content suggestions.

[0721] MODE FOR CARRYING OUT THE INVENTION

[0722] The present invention provides a system that supports elderly people in easily finding work that suits their health condition and skills and earning an income. This system is realized by combining the following means.

[0723] System Configuration

[0724] 1. User terminal

[0725] The user terminal is a device used by seniors to input personal information, receive job offers, and apply for jobs. Examples include smartphones, tablets, and PCs. The user terminal communicates with the server and transmits the seniors' input information and application information to the server.

[0726] 2. Server

[0727] The server receives personal information sent from the user's terminal and stores it in a database. It also analyzes the stored personal information, matches the user with a suitable job, generates job information, and sends it to the user's terminal. The server functions as the central processing unit for the entire system and also communicates with job providers.

[0728] 3. Database

[0729] The database is a data repository for storing personal information and feedback collected from users, making it possible to utilize the elderly's past work history and feedback in suggesting future jobs.

[0730] 4. Robotic Devices

[0731] The robotic devices are devices that support the work of elderly workers in factories by suggesting appropriate tasks based on their characteristics and skill sets. Specifically, they include robotic arms and exoskeletons worn by the elderly. This allows elderly workers to work efficiently and safely.

[0732] System action

[0733] User registration

[0734] Users (elderly people) access the system on their terminals and enter personal information such as their name, age, gender, health condition, specialty, past work history, and desired work style. This information is sent to the server via the terminal.

[0735] Data storage and analysis

[0736] The server stores the received personal information in a database and uses an analytical algorithm to identify the most suitable job, taking into account the user's health, skills, and preferred working style.

[0737] Generate and submit job proposals

[0738] The server generates a list of optimal jobs based on the analysis results and sends it to the user's terminal. For example, it may suggest a job such as "inspecting and packing parts."

[0739] Job selection and application

[0740] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. They then apply for the selected job through the terminal, and the application information is sent to the server.

[0741] Application processing and notification of results

[0742] The server processes the application information, contacts job providers, arranges interview dates and results, and notifies the user.

[0743] Hardware and software used

[0744] Hardware:

[0745] Smartphones and tablets (user devices)

[0746] server

[0747] Robotic arms and exoskeletons (robotic devices)

[0748] Sensors (health monitoring)

[0749] software:

[0750] SQLite (database management)

[0751] Python (data analysis and task proposals)

[0752] Specific examples

[0753] For example, a 70-year-old user registers with the system, is in good health, and has previously operated machinery in a factory. He or she would like to work three days a week, four hours a day. Based on this information, the system suggests the job of "assisting with light work (inspecting and packing parts)." The user selects this job and submits their application. Once the work begins, a robotic device supports the user and monitors their health while they work. The system automatically adjusts their workload as needed, ensuring safe and efficient work.

[0754] Example prompt for a generative AI model:

[0755] "Generate an algorithm for an application that suggests suitable light work tasks for a 70-year-old factory worker in good health based on his desired schedule (3 days a week, 4 hours a day). The tasks should include specific work content and schedule. Additionally, add a function to monitor his health status in real time and adjust as necessary."

[0756] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0757] Step 1:

[0758] User Registration

[0759] Users access the system using a user terminal and enter their personal information (name, age, gender, health condition, specialty, past work history, desired work style). The entered information is sent from the terminal to the server.

[0760] Input: Personal information entered by the user into the user terminal

[0761] Processing: The server receives the information and stores it in a database

[0762] Output: User information stored in the database

[0763] Step 2:

[0764] Data storage and analysis

[0765] The server analyzes the stored personal information, and an algorithm identifies the most suitable job for the user, taking into account their health condition, skills, and desired working style.

[0766] Input: User information stored in the database

[0767] Processing: The server analyzes the data using an analysis algorithm

[0768] Output: Optimal job information as an analysis result

[0769] Step 3:

[0770] Generate and submit job proposals

[0771] The server generates a list of optimal tasks based on the analysis results and sends it to the user's device, such as "assisting with light work (inspecting and packing parts)."

[0772] Input: Job information of analysis results

[0773] Processing: The server generates a job list and sends it to the user terminal.

[0774] Output: Job list displayed on user's terminal

[0775] Step 4:

[0776] Job selection and application

[0777] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent from the terminal to the server.

[0778] Input: User selected job role

[0779] Processing: The terminal sends the selection information to the server.

[0780] Output: Application information sent to the server

[0781] Step 5:

[0782] Application processing and notification of results

[0783] The server processes the application information, contacts job providers, schedules interviews and notifies users of the results.

[0784] Input: Job information applied for by the user

[0785] Processing: The server communicates with the job provider and coordinates the results

[0786] Output: Interview schedule and result notification sent to user terminal

[0787] Step 6:

[0788] Task suggestion and support by robotic devices

[0789] The server proposes suitable tasks based on the user's characteristics and skills, and controls the robotic device to assist with the work. During the work, sensors monitor the user's health and automatically adjust the workload as needed.

[0790] Input: User characteristics, skill information, health status

[0791] Processing: The server proposes suitable tasks and controls the robotic device.

[0792] Output: Task support and workload adjustment by robotic devices

[0793] Step 7:

[0794] Gathering feedback

[0795] After completing a task, the user provides feedback through the terminal, and the feedback information is sent from the terminal to the server and stored in the database.

[0796] Input: User-provided feedback information

[0797] Processing: The server receives the feedback and stores it in a database

[0798] Output: Feedback information stored in a database

[0799] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0800] The present invention provides a system that helps elderly people easily find jobs that match their health condition, skills, and emotional state, and helps them earn an income. This system has a function to suggest appropriate jobs based on personal information and emotional state entered by the user through a terminal.

[0801] System Configuration

[0802] The system of the present invention includes the following elements:

[0803] 1. User terminal:

[0804] This is a device that seniors use to input their personal information, have their emotional state analyzed, receive job suggestions, and apply for jobs. Examples include PCs, smartphones, and tablets.

[0805] 2. Server:

[0806] This is a central processing unit that receives personal information and emotion data sent from the user's device, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's device.

[0807] 3. Database:

[0808] It is a data storage location for saving personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[0809] 4. Emotion Engine:

[0810] This engine has the function of analyzing the user's emotional state and reflecting the results in job suggestions. The emotion engine evaluates the user's emotions using, for example, facial expression recognition, voice analysis, and biometric sensor data.

[0811] System processing flow

[0812] 1. User Registration

[0813] Users (elderly people) access the system on their terminals and enter their personal information (such as name, age, gender, health condition, specialty, past work history, and desired work style). This information is sent to the server via the terminal.

[0814] 2. Collecting Emotional Data

[0815] While the user is using the device, the emotion engine analyzes the user's facial expressions, voice, and biometric sensor data in real time, for example, capturing facial expressions using a camera and analyzing tone of voice from voice input.

[0816] 3. Data storage and analysis

[0817] The server stores the personal information and emotional data received from the device in a database. The stored data is then analyzed using an analytical algorithm to identify the most suitable job. This analytical algorithm takes into account the user's health, skills, preferred working style, and emotional state.

[0818] 4. Generate and submit job proposals

[0819] Based on the analysis results, the server generates a list of suitable jobs for the user. For example, the following jobs are suggested:

[0820] "Senior library staff, 3 days a week, 4 hours a day, 900 yen per hour"

[0821] "Park guide, 2 days a week, 3 hours a day, 1000 yen per hour"

[0822] The generated job list is sent from the server to the user's terminal.

[0823] 5. Job Selection and Application

[0824] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent to the server via the terminal.

[0825] 6. Application Processing and Notification of Results

[0826] The server processes the received application information and contacts the job provider (such as the library administrator). It then arranges the interview date and application results, and notifies the user of the results. For example, it sends information such as "The interview date and time is XX day, YY time."

[0827] 7. Gathering Feedback

[0828] After completing a task, the user provides feedback to the system through their terminal. The feedback information is sent to the server and stored in the database. This feedback is used for analysis to improve the next task suggestions.

[0829] Specific examples

[0830] For example, suppose a 70-year-old user registers with the system, is in good health, and has previously worked as a bookstore clerk. The desired working style is three days a week, four hours a day. Along with this information, the emotion engine analyzes the user's facial expressions and voice to detect a positive emotional state. This information is sent from the device to the server for analysis. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator to schedule an interview. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[0831] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs and supports them in earning income while taking into consideration their emotional state.

[0832] The processing flow will be explained below.

[0833] Step 1:

[0834] The user accesses the device and opens the new registration screen, where they enter personal information such as their name, age, gender, health condition, area of ​​expertise, past work history, and desired work style.

[0835] Step 2:

[0836] The device sends the entered personal information to the server, and the transmission process includes data encryption and security checks.

[0837] Step 3:

[0838] The server stores the personal information received from the device in a database. The storage process includes data integrity checks and redundancy.

[0839] Step 4:

[0840] While the user is using the device, the emotion engine analyzes the user's facial expressions, voice, and biometric sensor data in real time, for example, capturing facial expressions using a camera and analyzing tone of voice from voice input.

[0841] Step 5:

[0842] The device sends the collected emotion data to a server, and the transmission process includes data encryption and security checks.

[0843] Step 6:

[0844] The server stores the emotion data received from the device in a database. The storage process includes data integrity checks and redundancy.

[0845] Step 7:

[0846] The server analyzes the stored personal information and emotional data, and the analysis algorithm takes into account the employee's health, areas of expertise, past work history, desired working style, and emotional state to identify the most suitable job.

[0847] Step 8:

[0848] The server uses the analysis results to generate a list of suitable jobs for the user, including job details, location, hours, and wages.

[0849] Step 9:

[0850] The server sends the generated job list to the terminal, where the list is displayed on the user's interface.

[0851] Step 10:

[0852] The user reviews the list of suggested jobs on their device, selects the job they are interested in, and clicks the apply button for that job.

[0853] Step 11:

[0854] The terminal transmits the application information for the selected job to the server, and the transmission process includes data encryption and security checks.

[0855] Step 12:

[0856] The server processes the received application information. The processing process includes checking the application content and extracting necessary data.

[0857] Step 13:

[0858] The server contacts the job provider and conveys the user's application information, for example, sending the user's information to the library administrator and requesting that an interview date be arranged.

[0859] Step 14:

[0860] After the server adjusts the interview schedule and application results, it sends the result information to the terminal, including the interview date and time and the documents that need to be prepared.

[0861] Step 15:

[0862] The user checks the provided interview information and prepares for the interview, for example, checking the interview date, time, location, and documents to bring.

[0863] Step 16:

[0864] The user goes through an interview and starts working. After completing the work, the user provides feedback using the terminal.

[0865] Step 17:

[0866] The terminal transmits the user's feedback information to the server, and the transmission process includes data encryption and security checks.

[0867] Step 18:

[0868] The server stores the received feedback information in a database. The storage process includes checking the data for consistency and preparing it for analysis.

[0869] Step 19:

[0870] The server utilizes the stored feedback information and emotion data for the next job suggestion, and executes an algorithm to improve the accuracy of the suggestion based on the feedback information.

[0871] As a specific example, consider a 70-year-old user who registers with the system, is in good health, and has previously worked as a bookstore clerk. The desired working style is three days a week, four hours a day. Along with this information, the emotion engine analyzes the user's facial expressions and voice to detect a positive emotional state. This information is sent from the device to the server for analysis. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[0872] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs and supports them in earning income while taking into consideration their emotional state.

[0873] Example 2

[0874] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0875] Currently, it is difficult for older people to easily find work that matches their health condition, skills, and emotional state. Furthermore, the process of selecting and applying for work is cumbersome, and there are limited ways to receive appropriate feedback, making it difficult for this feedback to be reflected in future job proposals.

[0876] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0877] In this invention, the server includes means for receiving personal information and emotional data entered by the user into the terminal and storing them in a database, means for analyzing the stored personal information and emotional data and matching the user with a job suitable for that user, means for generating the matched job information and sending it to the user's terminal, means for receiving and processing application information for the job selected by the user, means for notifying the user of the application result, means for analyzing the user's emotional state and reflecting the results in job suggestions, means for receiving the user's feedback information, storing the feedback information in a database, and using the feedback information for the next job suggestion, means for analyzing the relevance between information on the user's health status and job content, and means for collecting the user's emotional data in real time and generating job suggestions for the user based on that data. This allows seniors to easily find suitable jobs and enables job suggestions that take into account their emotional state and feedback.

[0878] "User" means an individual who uses the System to search for and apply for jobs.

[0879] "Terminal" refers to a device that allows a user to access the system, input information, and receive job offers. Specifically, this includes PCs, smartphones, tablets, etc.

[0880] "Server" refers to a central processing unit that receives, stores, analyzes, proposes jobs, and processes applications for information sent by users.

[0881] A "database" is a data storage location for saving and managing users' personal information, emotional data, feedback information, etc.

[0882] "Emotional data" refers to data that indicates the user's emotional state, such as data obtained from a facial recognition camera, a voice analysis device, or a biometric sensor.

[0883] "Job suggestions" are a list of jobs suitable for a user, which are generated by the server by analyzing the user's personal information and emotional data.

[0884] "Application Information" refers to information relating to an application made by a User for a particular position.

[0885] "Analysis Algorithm" refers to the calculation methods and programs used by the server to identify the most suitable job based on user data. Specifically, this includes machine learning and AI technologies.

[0886] "Feedback information" refers to evaluations and opinions about a job provided by a user after the job is completed.

[0887] "Matching" refers to the process in which the server analyzes a user's personal information and emotional data and selects a job that is suitable for the user based on the results.

[0888] "Real-time" means that data collection and processing are carried out in real time, and the results are reflected to users immediately.

[0889] This invention relates to a system that helps elderly people find jobs that match their health condition, skills, and emotional state, and helps them earn an income. This system has the function of suggesting appropriate jobs based on personal information and emotional data entered by the user through a terminal.

[0890] System Configuration

[0891] The system of the present invention includes the following elements:

[0892] 1. User terminal:

[0893] The device used by seniors to input personal information, have their emotional state analyzed, receive job suggestions, and apply for jobs can be a PC, smartphone, or tablet.

[0894] 2. Server:

[0895] This is a central processing unit that receives personal information and emotion data sent from the user's device, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's device.

[0896] 3. Database:

[0897] It is a data storage location for saving personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[0898] 4. Emotion Engine:

[0899] This engine has the function of analyzing the user's emotional state and reflecting the results in job suggestions. The emotion engine evaluates the user's emotions using, for example, facial expression recognition, voice analysis, and biometric sensor data.

[0900] Specific examples

[0901] For example, when a 70-year-old user registers with the system using a computer, they enter information such as their name, age, gender, health condition, areas of expertise, past work experience, and desired work style. At the same time, they are asked for consent to use a camera to capture their facial expressions and a microphone to analyze their voice. This information is sent to the server and stored in a database. The server then analyzes this information and proposes a position as "senior library staff member." When the user selects this position and submits an application, the server contacts the library administrator, arranges an interview date, and notifies the user of the results. After completing the job, the user provides feedback, which is used in the analysis for the next job proposal.

[0902] Prompt Sentence Examples

[0903] "A 70-year-old user is looking for a job that requires them to work 3 days a week, 4 hours a day. Their previous work experience was as a bookstore clerk and they are in good health. The facial recognition camera and voice analyzer detect a positive emotional state. Please suggest suitable jobs for this user."

[0904] Through these steps, the present invention helps seniors find suitable jobs and helps them earn an income while also taking into consideration their emotional state.

[0905] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0906] Step 1:

[0907] User Registration

[0908] Users access the system using devices such as computers, smartphones, and tablets.

[0909] Input: Personal information such as name, age, gender, health condition, areas of expertise, past work experience, and desired work style.

[0910] Specific operations: The user enters the necessary personal information through the input form on the terminal and presses the send button.

[0911] Output: The device sends this information to the server.

[0912] Step 2:

[0913] Collecting Emotional Data

[0914] While the user is using the device, the system collects the user's facial expressions and voice in real time.

[0915] Input: facial expression data from the camera, audio data from the microphone, biometric sensor data.

[0916] How it works: The camera captures the user's face and the emotion engine analyzes their facial expressions, while the microphone collects their tone of voice for voice analysis.

[0917] Output: Collected emotion data is sent to the server in real time.

[0918] Step 3:

[0919] Data storage and analysis

[0920] The server stores the personal information and emotion data sent from the terminal in a database.

[0921] Input: Personal information data, emotional data such as facial expressions and voice.

[0922] How it works: Personal information and emotional data are stored in a database, and then the stored data is subjected to an analysis algorithm, which uses machine learning algorithms to take into account factors such as health status, skills, and emotional state.

[0923] Output: As a result of the analysis, a list of jobs that are best suited for the user is generated.

[0924] Step 4:

[0925] Generate and submit job proposals

[0926] Based on the analysis results, the server generates a list of jobs appropriate for the user and sends it to the terminal.

[0927] Input: Analysis results from the database.

[0928] What it does: A recommendation engine runs on the server side and generates a list of jobs that are best suited to the user.

[0929] Output: The generated job list is sent to the user's terminal.

[0930] Step 5:

[0931] Job selection and application

[0932] The user checks the list of proposed jobs on the terminal, selects the job that interests them, and submits an application.

[0933] Input: Proposed job list.

[0934] Specific behavior: The user scrolls through the list of suggested jobs on their device, selects the job they are interested in, and then clicks the job application button.

[0935] Output: The application information for the selected job is sent to the server.

[0936] Step 6:

[0937] Application processing and notification of results

[0938] The server processes the received application information, contacts the job provider, and notifies the user of the results.

[0939] Input: Job application information.

[0940] Specific operation: The server contacts the job provider (e.g., library administrator) to arrange the interview schedule and application results. After arrangement, the server sends the results to the user's terminal.

[0941] Output: The interview schedule and results will be displayed on the terminal.

[0942] Step 7:

[0943] Gathering feedback

[0944] After completing a task, the user provides feedback to the system through the terminal.

[0945] Input: Job feedback information.

[0946] Specific actions: The user fills out a feedback form on the device and submits it.

[0947] Output: The feedback information is sent to the server and stored in the database. The server will use this feedback information in the next job proposal.

[0948] This will make it easier for older people to find suitable jobs and will enable job suggestions that take into account their emotional state and feedback.

[0949] (Application example 2)

[0950] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0951] It is difficult for elderly people to find appropriate work that suits their health, skills, and emotional state, which hinders the effective use of labor. It is also necessary to create an environment where elderly people can quickly select appropriate work at work sites such as logistics centers and work with peace of mind.

[0952] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0953] In this invention, the server includes: means for receiving personal information entered by a user into a terminal; means for storing the received personal information in a database; means for analyzing the stored personal information and matching the user with a job suitable for the user; means for generating matched job information and sending it to the user's terminal; means for receiving and processing application information for the job selected by the user; means for notifying the user of the application result; means for analyzing the user's facial expression and voice in real time using a camera and microphone mounted on the terminal and evaluating the user's emotional state; and means for selecting a job based on the emotional state. This makes it easier for elderly people to find the job that best suits their health condition and skills, and makes it possible to provide an appropriate work environment that takes their emotional state into consideration.

[0954] "User" refers to a person who inputs personal information and emotional state through a terminal and is offered suitable jobs.

[0955] "Device" refers to a device used by a user to input personal information or emotional state, including a PC, smartphone, tablet, smart glasses, etc.

[0956] "Personal information" refers to information such as the user's name, age, gender, health condition, areas of expertise, past work history, and desired working style.

[0957] The "database" is a data storage location that stores received personal information, emotional data, and feedback information, and is accessed from the server.

[0958] The "server" is a central processing unit that receives personal information and emotion data sent from the user terminal, stores them in a database, and analyzes them.

[0959] "Emotional state" refers to the psychological and emotional state that is evaluated by analyzing the user's facial expressions, voice, biometric sensor data, etc.

[0960] "Camera" refers to the photographic device installed on the device that captures the user's facial expressions.

[0961] "Microphone" refers to a voice input device installed on a terminal for recording the user's voice.

[0962] "Emotion analysis" refers to the process of assessing a user's emotional state based on data collected using a camera or microphone.

[0963] "Job" refers to the work or job title suggested to a user, and is selected based on the user's health, skills, and emotional state.

[0964] "Job suggestions" refers to a list of appropriate tasks and job titles provided to users based on the analysis results.

[0965] "Application" refers to the process you go through to apply for a selected position.

[0966] "Feedback" refers to information provided to the system by users about their experiences and opinions after completing a task.

[0967] The present invention is a system that makes it easy for elderly people to find jobs that suit their health, skills, and emotional state. This system is designed with a particular focus on supporting work in logistics centers. The following describes in detail the embodiments of the present invention.

[0968] System Configuration

[0969] The system of the present invention includes the following elements:

[0970] 1. User terminal: A device used by seniors to input personal information and emotional state, receive job suggestions, and apply for specific tasks. Smart glasses are examples of this.

[0971] 2. Server: A central processing unit that receives personal information and emotion data sent from the user terminal, stores them in a database, and analyzes them. It also generates job suggestions based on the analysis results and sends them to the user terminal.

[0972] 3. Database: A data repository that stores personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[0973] 4. Emotion Engine: This system evaluates the user's emotional state in real time based on facial expressions, voice data, etc., and reflects the results in job suggestions. This is done using a camera and microphone.

[0974] System Operation

[0975] First, the user (elderly person) accesses the system through smart glasses and enters their personal information (name, age, gender, health condition, specialty, past work history, desired work style, etc.). This information is sent to the server via the terminal.

[0976] Next, the camera and microphone built into the smart glasses capture the user's facial expressions and voice in real time, and the emotion engine analyzes the data, evaluates the user's emotional state as a result, and sends the data to the server.

[0977] The server stores the received personal information and emotional data in a database and uses an analytical algorithm to identify the most suitable job for the user, taking into account the user's health, skills, desired working style, and real-time emotional state.

[0978] The job suggestions generated as a result of the analysis (e.g., "light work" or "inventory") are sent from the server to the smart glasses. The user visually checks them, selects the appropriate job, and applies for it. This application information is sent back to the server, and after processing, the user is notified of the results.

[0979] Examples of concrete examples and prompts

[0980] A 70-year-old user accesses the system using smart glasses and enters personal information such as age, past work history (bookstore clerk), health status (good), and desired work schedule (three days a week, four hours a day).

[0981] The smart glasses use a camera to capture facial expressions and a microphone to collect tone of voice, and emotion analysis detects positive emotional states.

[0982] When this information is sent to the server, the system analyzes it and suggests "light work" and "inventory." The user confirms this and selects "light work" to apply. The application information is processed on the server, and the user is notified of the interview schedule and other details.

[0983] Prompt Sentence Examples

[0984] "Ichiro Tanaka registered with the system, was in good health, and had previously worked as a bookstore clerk. Facial and voice analysis detected a positive emotional state. Based on this information, the system suggested "light work" and "inventory taking."

[0985] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0986] Step 1:

[0987] The user enters personal information (such as name, age, gender, health condition, areas of expertise, past work history, and desired working style) through the smart glasses and sends it to the terminal.

[0988] Input: Name, age, gender, health condition, areas of expertise, past work experience, desired work style, etc.

[0989] Output: Personal information is stored on the device and sent to a server.

[0990] Specific operation: The user inputs information using the GUI of the smart glasses and presses the send button. The device then sends the input data to the server.

[0991] Step 2:

[0992] The server receives the personal information sent from the terminal and stores it in a database.

[0993] Input: Personal information sent from your device.

[0994] Output: Personal information is saved in a database.

[0995] What happens: The server receives the HTTP request and executes an SQL query to insert personal information into a database.

[0996] Step 3:

[0997] The device (smart glasses) has a built-in camera and microphone that capture the user's facial expressions and voice, which are then recorded as emotional data.

[0998] Input: facial expression data (images) and audio data.

[0999] Output: Captured facial expression and speech data.

[1000] What it does: The smart glasses' camera periodically takes pictures of the user's face, and the microphone records audio.

[1001] Step 4:

[1002] The facial expression and voice data captured by the device is analyzed by an emotion engine to evaluate the emotional state.

[1003] Input: facial expression and speech data.

[1004] Output: Emotional state score.

[1005] What it does: The device runs an emotion analysis algorithm, analyzes facial and voice data, and calculates an emotion score.

[1006] Step 5:

[1007] The device transmits the evaluated emotional state score to the server.

[1008] Input: Emotional state score.

[1009] Output: The emotional state score is sent to the server.

[1010] Specific operation: The device sends a data packet containing the emotion score to the server via an HTTP request.

[1011] Step 6:

[1012] The server performs job analysis using the received emotional state score and personal information, and suggests the most suitable job.

[1013] Input: Personal information and emotional state score.

[1014] Output: A list of job suggestions.

[1015] What it does: The server retrieves personal information and sentiment scores from the database and runs a job suggestion algorithm to generate a list of optimal jobs.

[1016] Step 7:

[1017] The server transmits the generated job proposal list to the terminal and displays it to the user.

[1018] Input: Job proposal list.

[1019] Output: A list of job suggestions is displayed on the terminal.

[1020] Specific operation: The server sends a data packet containing a list of job suggestions to the terminal as an HTTP response, and the terminal displays it to the user.

[1021] Step 8:

[1022] The user selects the desired job from the proposed jobs and sends the application information from the terminal to the server.

[1023] Enter: Application information for the selected position.

[1024] Output: The job application information is sent to the server.

[1025] Specific operation: When the user selects a job position in the GUI of the smart glasses and presses the application button, the device sends the application information to the server.

[1026] Step 9:

[1027] The server processes the received job application information, generates a result, and notifies the user.

[1028] Input: Job application information.

[1029] Output: Application results.

[1030] Specific operation: The server cooperates with the job provider, processes the application information, generates the results, and sends them to the terminal to notify the user.

[1031] Examples of concrete examples and prompts

[1032] A 70-year-old user accesses the system using smart glasses and enters personal information such as "age," "past work history (bookstore clerk)," "health condition (good)," and "desired work style (3 days a week, 4 hours a day)." The smart glasses use a camera to capture "facial expressions" and a microphone to collect "tone of voice." As a result of emotion analysis, a "positive emotional state" is detected, and this information is sent to the server. The system suggests "light work" and "inventory taking," and the user selects "light work" and submits a request, after which the server notifies the user of the result.

[1033] Prompt Sentence Examples

[1034] "Ichiro Tanaka registered with the system, was in good health, and had previously worked as a bookstore clerk. Facial and voice analysis detected a positive emotional state. Based on this information, the system suggested "light work" and "inventory taking."

[1035] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1036] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1037] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1038] [Third embodiment]

[1039] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1040] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1041] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1042] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[1043] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1044] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1045] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1046] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1047] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1048] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1049] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1050] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[1051] The present invention provides a system that helps elderly people easily find jobs that match their health condition and skills and earn an income. This system has a function to suggest suitable jobs based on personal information entered by the user through a terminal.

[1052] System Configuration

[1053] The system of the present invention includes the following elements:

[1054] 1. User terminal:

[1055] This is a device used by seniors to enter personal information, receive job offers, and apply for jobs. Examples include computers, smartphones, and tablets.

[1056] 2. Server:

[1057] This is a central processing unit that receives personal information sent from the user's terminal, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's terminal.

[1058] 3. Database:

[1059] It is a data storage location for saving personal information and feedback information collected from users, and is accessed from the server.

[1060] System processing flow

[1061] 1. User Registration

[1062] Users (elderly people) access the system on their terminals and enter their personal information (such as name, age, gender, health condition, specialty, past work history, and desired work style). This information is sent to the server via the terminal.

[1063] 2. Data storage and analysis

[1064] The server stores the personal information received from the device in a database, which is then analyzed using an analytical algorithm to identify the most suitable job for the user, taking into account the user's health, skills, and preferred working style.

[1065] 3. Generate and submit job proposals

[1066] Based on the analysis results, the server generates a list of jobs that are best suited to the user. For example, the following jobs may be suggested:

[1067] "Senior library staff, 3 days a week, 4 hours a day, 900 yen per hour"

[1068] "Park guide, 2 days a week, 3 hours a day, 1000 yen per hour"

[1069] The generated job list is sent from the server to the user's terminal.

[1070] 4. Job selection and application

[1071] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent to the server via the terminal.

[1072] 5. Application Processing and Notification of Results

[1073] The server processes the received application information and contacts the job provider (such as the library administrator). It then arranges the interview date and application results, and notifies the user of the results. For example, it sends information such as "The interview date and time is XX day, YY time."

[1074] 6. Gathering Feedback

[1075] After completing a task, the user provides feedback to the system through their terminal. The feedback information is sent to the server and stored in the database. This feedback is used for analysis to improve the next task suggestions.

[1076] Specific examples

[1077] For example, suppose a 70-year-old user registers with the system, is in good health, and has worked as a bookstore clerk in the past. Their desired working style is three days a week, four hours a day. This information is sent from the terminal to the server, where it is analyzed. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[1078] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs, alleviates income anxiety, and provides them with a new purpose in life.

[1079] The processing flow will be explained below.

[1080] Step 1:

[1081] The user accesses the device and opens the new registration screen, where they enter personal information such as their name, age, gender, health condition, area of ​​expertise, past work history, and desired work style.

[1082] Step 2:

[1083] The device sends the entered personal information to the server, and the transmission process includes data encryption and security checks.

[1084] Step 3:

[1085] The server stores the personal information received from the device in a database. The storage process includes data integrity checks and redundancy.

[1086] Step 4:

[1087] The server analyzes the stored personal information, and the analysis algorithm identifies the most suitable job based on the employee's health, areas of expertise, past work history, and desired working style.

[1088] Step 5:

[1089] The server uses the analysis results to generate a list of suitable jobs for the user, including job details, location, hours, and wages.

[1090] Step 6:

[1091] The server sends the generated job list to the terminal, where the list is displayed on the user's interface.

[1092] Step 7:

[1093] The user reviews the list of suggested jobs on their device, selects the job they are interested in, and clicks the apply button for that job.

[1094] Step 8:

[1095] The terminal transmits the application information for the selected job to the server, and the transmission process includes data encryption and security checks.

[1096] Step 9:

[1097] The server processes the received application information. The processing process includes checking the application content and extracting necessary data.

[1098] Step 10:

[1099] The server contacts the job provider and conveys the user's application information, for example, sending the user's information to the library administrator and requesting that an interview date be arranged.

[1100] Step 11:

[1101] After the server adjusts the interview schedule and application results, it sends the result information to the terminal, including the interview date and time and the documents that need to be prepared.

[1102] Step 12:

[1103] The user checks the provided interview information and prepares for the interview, for example, checking the interview date, time, location, and documents to bring.

[1104] Step 13:

[1105] The user goes through an interview and starts working. After completing the work, the user provides feedback using the terminal.

[1106] Step 14:

[1107] The terminal transmits the user's feedback information to the server, and the transmission process includes data encryption and security checks.

[1108] Step 15:

[1109] The server stores the received feedback information in a database. The storage process includes checking the data for consistency and preparing it for analysis.

[1110] Step 16:

[1111] The server analyzes the stored feedback information and uses it to improve the next job suggestions. An algorithm is run to improve the accuracy of the suggestions based on the feedback information.

[1112] These are the specific processing steps of the system, which will help seniors find suitable jobs and provide support for them to earn an income.

[1113] Example 1

[1114] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1115] It is difficult for elderly people to easily find jobs that match their health condition and skills. In particular, to help elderly people find suitable jobs, a system is needed that can suggest suitable jobs taking into account their physical condition, skills, and desired working style. In addition, a system is needed that can continue to suggest more suitable jobs by reflecting feedback on jobs in the next job proposal.

[1116] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1117] In this invention, the server includes means for receiving personal information entered by a user into a terminal, means for storing the received personal information in a database, means for analyzing the stored personal information and matching the user with a job suitable for the user, means for generating matched job information and sending it to the user's terminal, means for receiving and processing application information for the job selected by the user, means for notifying the user of the application result, means for the user to provide feedback information after completing the job, means for storing the feedback information in a database and using it to suggest future jobs, and means for executing an analysis algorithm to link all of the above means. This makes it possible for elderly people to easily find jobs suitable for their health condition and skills, and by reflecting the feedback information in future job suggestions, even more optimal job suggestions can be made.

[1118] "Users" refer to individuals who use the system to find jobs that suit their health status and skills.

[1119] "Terminal" refers to the device used by a user to enter personal information and access the system, including, specifically, a PC, smartphone, tablet, etc.

[1120] "Personal information" refers to information necessary to propose a job, such as the user's name, age, gender, health condition, areas of expertise, past work history, and desired working style.

[1121] "Server" refers to a central processing unit that receives personal information sent by a user from a terminal, stores it in a database, analyzes it, generates job information, and sends it to the user.

[1122] "Database" refers to data storage for storing personal information and feedback information so that it can be retrieved and used as needed.

[1123] "Analysis algorithm" refers to the calculation procedures and models used to identify and suggest suitable jobs for users based on stored personal information and feedback information.

[1124] "Job Information" refers to the specific job description generated based on the analysis algorithm and transmitted to the User, including details such as job duties, working hours, and salary.

[1125] "Application Information" refers to the necessary information entered by a user when applying for a selected position.

[1126] "Feedback information" refers to the evaluation and opinions of the job provided by the user after completing the job. This information will be used in the next recommendation algorithm.

[1127] A "generative AI model" is a model that uses artificial intelligence to make job suggestions. It analyzes users' personal information and feedback information as input and suggests the most suitable jobs.

[1128] The present invention provides a system that helps elderly people easily find jobs that match their health condition and skills and earn income. Specifically, the system proposes suitable jobs based on personal information entered by the user through a terminal and performs a series of processes to manage the applications.

[1129] System Configuration

[1130] The system of the present invention includes the following elements:

[1131] 1. User terminal

[1132] These are devices that seniors use to enter personal information, receive job offers, and apply for jobs. Specific hardware used includes PCs, smartphones, and tablets.

[1133] 2. Server

[1134] This is a central processing unit that receives personal information sent from the user's terminal, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's terminal.

[1135] 3. Database

[1136] It is a data storage location for saving personal information and feedback information collected from users, and is accessed from the server.

[1137] 4. Analysis Algorithm

[1138] This model includes calculation procedures to identify the most suitable job for a user, taking into account their health condition, skills, and desired working style. This analysis algorithm uses a generative AI model.

[1139] System processing flow

[1140] Users access the system using a terminal and enter personal information such as their name, age, gender, health condition, specialty, past work history, desired work style, etc. This information is sent from the terminal to the server, which then stores it in a database.

[1141] The server then uses an analysis algorithm to analyze the data based on the stored personal information, and generates a list of optimal job suggestions based on the results of the analysis, which is then sent to the user's device.

[1142] The user checks the list of proposed jobs, selects the job they are interested in, and submits an application. The application information is then sent from the terminal to the server, where it is processed. The server then contacts the job provider and notifies the user of the interview schedule and application results.

[1143] After completing a task, the user provides feedback to the system through the terminal. The server stores this feedback in a database and uses it for analysis when making the next task suggestion.

[1144] Specific examples

[1145] For example, suppose a 70-year-old user registers with the system, is in good health, and has previously worked as a bookstore clerk. The user's desired working style is three days a week, four hours a day. This information is sent from the terminal to the server, where it is analyzed. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and is able to attend the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[1146] Prompt Sentence Examples

[1147] "A 70-year-old user has entered the system as a bookstore clerk with a good health history and a preferred work schedule of three days a week, four hours a day. What kind of job will be suggested?"

[1148] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs, alleviates income anxiety, and provides them with a new purpose in life.

[1149] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1150] Step 1:

[1151] Enter personal information

[1152] Users access the system using a terminal and enter personal information such as name, age, gender, health condition, specialty, past work history, and desired work style. Specifically, the user enters information into a web form and clicks the "Submit" button. The entered information is saved in JSON format.

[1153] Input: Personal information (name, age, gender, health condition, area of ​​expertise, past work history, desired work style)

[1154] Output: The entered personal information is temporarily saved on the device in JSON format.

[1155] Step 2:

[1156] Data transmission

[1157] The device sends the entered personal information to the server. Specifically, when the "Submit" button is clicked, the device calls the backend API endpoint and sends the personal information to the server as a POST request.

[1158] Enter: Personal information stored on your device

[1159] Output: Personal information sent to the server (JSON format)

[1160] Step 3:

[1161] Information storage

[1162] The server receives the personal information sent from the device and stores it in a database. The specific operation of the server is to convert the received data into an appropriate format and insert it into a database table.

[1163] Input: Personal information received by the server

[1164] Output: Personal information stored in a database

[1165] Step 4:

[1166] Data analysis

[1167] The server uses an analytical algorithm to identify the most suitable job based on the stored personal information. This analysis generates a list of job suggestions that take into account the user's health condition, skills, and desired working style. The server's specific operation involves calling the analytical algorithm's function and passing the necessary parameters.

[1168] Input: Personal information stored in the database

[1169] Output: A list of job suggestions generated by the analysis algorithm

[1170] Step 5:

[1171] Job List Submission

[1172] The server sends the generated job list to the user's device. Specifically, it converts the generated list into JSON format and sends it to the device via API.

[1173] Input: A list of job suggestions generated by the analysis algorithm

[1174] Output: A list of job suggestions sent to the user's device

[1175] Step 6:

[1176] Job selection

[1177] The user checks the list of suggested jobs on the terminal and selects the job they are interested in. The specific operation of the terminal is for the user to click on an option from the list.

[1178] Input: Job proposal list sent to terminal

[1179] Output: Job information selected by the user

[1180] Step 7:

[1181] Submit application

[1182] The user applies for the selected position and sends the application information from the terminal to the server. Specifically, when the user clicks the application button, the application information is sent to the server.

[1183] Input: Job information selected by the user

[1184] Output: Application information sent to the server

[1185] Step 8:

[1186] Processing application information

[1187] The server processes the received application information and contacts the job provider (e.g., library administrator). Specifically, the server sends an email to the provider or contacts them via API.

[1188] Input: Application information received by the server

[1189] Output: Application information sent to job provider

[1190] Step 9:

[1191] Result notification

[1192] The server adjusts the interview schedule and results and notifies the user. Specifically, it generates interview date and time information and sends it to the user's terminal.

[1193] Input: Interview schedule and results information generated by the server

[1194] Output: Result notification sent to the user's device

[1195] Step 10:

[1196] Feedback Input

[1197] After completing a task, the user provides feedback information through the terminal. Specifically, the user fills in the feedback form and clicks the "Submit" button.

[1198] Input: Feedback information entered by the user

[1199] Output: Feedback information stored on the device

[1200] Step 11:

[1201] Send Feedback

[1202] The device sends feedback information to the server, specifically by calling an API that sends input data to the backend.

[1203] Input: Feedback information stored on the device

[1204] Output: Feedback information sent to the server

[1205] Step 12:

[1206] Feedback saved

[1207] The server stores the received feedback information in a database, specifically by writing the feedback information into the appropriate table.

[1208] Input: Feedback information received by the server

[1209] Output: Feedback information stored in a database

[1210] Step 13:

[1211] Data analysis and feedback

[1212] The server then analyzes the stored feedback information to improve the next job suggestion. Specifically, the server uses the feedback information as input to the analysis algorithm to generate the optimal suggestion.

[1213] Input: Feedback information stored in the database

[1214] Output: Next job proposal incorporating feedback

[1215] This is the specific flow of the program's processing. Through this series of steps, users can continuously find suitable jobs, and the server can use the feedback to make even more suitable job suggestions.

[1216] (Application example 1)

[1217] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1218] It is difficult for older people to find suitable work based on their health condition and skills, and to receive appropriate support in the process of performing those jobs. Therefore, there is a need to provide an environment in which older people can work efficiently and safely.

[1219] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1220] In this invention, the server includes means for receiving personal information entered by the user into the terminal, means for storing the received personal information in a database, and means for analyzing the stored personal information and matching the user with a job suitable for that user. This enables elderly people to find a job suitable for them and receive appropriate task suggestions and support for that job.

[1221] "User Terminal" means the device used by a User to enter personal information and receive job offers.

[1222] The "server" is a central processing unit that receives personal information sent from a user terminal, stores it in a database, and analyzes it.

[1223] "Database" refers to a data storage location for storing personal information and feedback information collected from users.

[1224] "Matching" is the process of analyzing stored personal information and suggesting suitable jobs for users.

[1225] A "robot device" is a device that assists users in their work by suggesting appropriate tasks based on their characteristics and skills.

[1226] "Feedback" refers to the reactions and opinions provided by users after completing a task, which are reflected in the next task proposal.

[1227] "Health status" refers to the physical and mental health status of the user, which is important information that influences job content suggestions.

[1228] MODE FOR CARRYING OUT THE INVENTION

[1229] The present invention provides a system that supports elderly people in easily finding work that suits their health condition and skills and earning an income. This system is realized by combining the following means.

[1230] System Configuration

[1231] 1. User terminal

[1232] The user terminal is a device used by seniors to input personal information, receive job offers, and apply for jobs. Examples include smartphones, tablets, and PCs. The user terminal communicates with the server and transmits the seniors' input information and application information to the server.

[1233] 2. Server

[1234] The server receives personal information sent from the user's terminal and stores it in a database. It also analyzes the stored personal information, matches the user with a suitable job, generates job information, and sends it to the user's terminal. The server functions as the central processing unit for the entire system and also communicates with job providers.

[1235] 3. Database

[1236] The database is a data repository for storing personal information and feedback collected from users, making it possible to utilize the elderly's past work history and feedback in suggesting future jobs.

[1237] 4. Robotic Devices

[1238] The robotic devices are devices that support the work of elderly workers in factories by suggesting appropriate tasks based on their characteristics and skill sets. Specifically, they include robotic arms and exoskeletons worn by the elderly. This allows elderly workers to work efficiently and safely.

[1239] System action

[1240] User registration

[1241] Users (elderly people) access the system on their terminals and enter personal information such as their name, age, gender, health condition, specialty, past work history, and desired work style. This information is sent to the server via the terminal.

[1242] Data storage and analysis

[1243] The server stores the received personal information in a database and uses an analytical algorithm to identify the most suitable job, taking into account the user's health, skills, and preferred working style.

[1244] Generate and submit job proposals

[1245] The server generates a list of optimal jobs based on the analysis results and sends it to the user's terminal. For example, it may suggest a job such as "inspecting and packing parts."

[1246] Job selection and application

[1247] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. They then apply for the selected job through the terminal, and the application information is sent to the server.

[1248] Application processing and notification of results

[1249] The server processes the application information, contacts job providers, arranges interview dates and results, and notifies the user.

[1250] Hardware and software used

[1251] Hardware:

[1252] Smartphones and tablets (user devices)

[1253] server

[1254] Robotic arms and exoskeletons (robotic devices)

[1255] Sensors (health monitoring)

[1256] software:

[1257] SQLite (database management)

[1258] Python (data analysis and task proposals)

[1259] Specific examples

[1260] For example, a 70-year-old user registers with the system, is in good health, and has previously operated machinery in a factory. He or she would like to work three days a week, four hours a day. Based on this information, the system suggests the job of "assisting with light work (inspecting and packing parts)." The user selects this job and submits their application. Once the work begins, a robotic device supports the user and monitors their health while they work. The system automatically adjusts their workload as needed, ensuring safe and efficient work.

[1261] Example prompt for a generative AI model:

[1262] "Generate an algorithm for an application that suggests suitable light work tasks for a 70-year-old factory worker in good health based on his desired schedule (3 days a week, 4 hours a day). The tasks should include specific work content and schedule. Additionally, add a function to monitor his health status in real time and adjust as necessary."

[1263] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1264] Step 1:

[1265] User Registration

[1266] Users access the system using a user terminal and enter their personal information (name, age, gender, health condition, specialty, past work history, desired work style). The entered information is sent from the terminal to the server.

[1267] Input: Personal information entered by the user into the user terminal

[1268] Processing: The server receives the information and stores it in a database

[1269] Output: User information stored in the database

[1270] Step 2:

[1271] Data storage and analysis

[1272] The server analyzes the stored personal information, and an algorithm identifies the most suitable job for the user, taking into account their health condition, skills, and desired working style.

[1273] Input: User information stored in the database

[1274] Processing: The server analyzes the data using an analysis algorithm

[1275] Output: Optimal job information as an analysis result

[1276] Step 3:

[1277] Generate and submit job proposals

[1278] The server generates a list of optimal tasks based on the analysis results and sends it to the user's device, such as "assisting with light work (inspecting and packing parts)."

[1279] Input: Job information of analysis results

[1280] Processing: The server generates a job list and sends it to the user terminal.

[1281] Output: Job list displayed on user's terminal

[1282] Step 4:

[1283] Job selection and application

[1284] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent from the terminal to the server.

[1285] Input: User selected job role

[1286] Processing: The terminal sends the selection information to the server.

[1287] Output: Application information sent to the server

[1288] Step 5:

[1289] Application processing and notification of results

[1290] The server processes the application information, contacts job providers, schedules interviews and notifies users of the results.

[1291] Input: Job information applied for by the user

[1292] Processing: The server communicates with the job provider and coordinates the results

[1293] Output: Interview schedule and result notification sent to user terminal

[1294] Step 6:

[1295] Task suggestion and support by robotic devices

[1296] The server proposes suitable tasks based on the user's characteristics and skills, and controls the robotic device to assist with the work. During the work, sensors monitor the user's health and automatically adjust the workload as needed.

[1297] Input: User characteristics, skill information, health status

[1298] Processing: The server proposes suitable tasks and controls the robotic device.

[1299] Output: Task support and workload adjustment by robotic devices

[1300] Step 7:

[1301] Gathering feedback

[1302] After completing a task, the user provides feedback through the terminal, and the feedback information is sent from the terminal to the server and stored in the database.

[1303] Input: User-provided feedback information

[1304] Processing: The server receives the feedback and stores it in a database

[1305] Output: Feedback information stored in a database

[1306] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1307] The present invention provides a system that helps elderly people easily find jobs that match their health condition, skills, and emotional state, and helps them earn an income. This system has a function to suggest appropriate jobs based on personal information and emotional state entered by the user through a terminal.

[1308] System Configuration

[1309] The system of the present invention includes the following elements:

[1310] 1. User terminal:

[1311] This is a device that seniors use to input their personal information, have their emotional state analyzed, receive job suggestions, and apply for jobs. Examples include PCs, smartphones, and tablets.

[1312] 2. Server:

[1313] This is a central processing unit that receives personal information and emotion data sent from the user's device, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's device.

[1314] 3. Database:

[1315] It is a data storage location for saving personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[1316] 4. Emotion Engine:

[1317] This engine has the function of analyzing the user's emotional state and reflecting the results in job suggestions. The emotion engine evaluates the user's emotions using, for example, facial expression recognition, voice analysis, and biometric sensor data.

[1318] System processing flow

[1319] 1. User Registration

[1320] Users (elderly people) access the system on their terminals and enter their personal information (such as name, age, gender, health condition, specialty, past work history, and desired work style). This information is sent to the server via the terminal.

[1321] 2. Collecting Emotional Data

[1322] While the user is using the device, the emotion engine analyzes the user's facial expressions, voice, and biometric sensor data in real time, for example, capturing facial expressions using a camera and analyzing tone of voice from voice input.

[1323] 3. Data storage and analysis

[1324] The server stores the personal information and emotional data received from the device in a database. The stored data is then analyzed using an analytical algorithm to identify the most suitable job. This analytical algorithm takes into account the user's health, skills, preferred working style, and emotional state.

[1325] 4. Generate and submit job proposals

[1326] Based on the analysis results, the server generates a list of suitable jobs for the user. For example, the following jobs are suggested:

[1327] "Senior library staff, 3 days a week, 4 hours a day, 900 yen per hour"

[1328] "Park guide, 2 days a week, 3 hours a day, 1000 yen per hour"

[1329] The generated job list is sent from the server to the user's terminal.

[1330] 5. Job Selection and Application

[1331] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent to the server via the terminal.

[1332] 6. Application Processing and Notification of Results

[1333] The server processes the received application information and contacts the job provider (such as the library administrator). It then arranges the interview date and application results, and notifies the user of the results. For example, it sends information such as "The interview date and time is XX day, YY time."

[1334] 7. Gathering Feedback

[1335] After completing a task, the user provides feedback to the system through their terminal. The feedback information is sent to the server and stored in the database. This feedback is used for analysis to improve the next task suggestions.

[1336] Specific examples

[1337] For example, suppose a 70-year-old user registers with the system, is in good health, and has previously worked as a bookstore clerk. The desired working style is three days a week, four hours a day. Along with this information, the emotion engine analyzes the user's facial expressions and voice to detect a positive emotional state. This information is sent from the device to the server for analysis. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator to schedule an interview. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[1338] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs and supports them in earning income while taking into consideration their emotional state.

[1339] The processing flow will be explained below.

[1340] Step 1:

[1341] The user accesses the device and opens the new registration screen, where they enter personal information such as their name, age, gender, health condition, area of ​​expertise, past work history, and desired work style.

[1342] Step 2:

[1343] The device sends the entered personal information to the server, and the transmission process includes data encryption and security checks.

[1344] Step 3:

[1345] The server stores the personal information received from the device in a database. The storage process includes data integrity checks and redundancy.

[1346] Step 4:

[1347] While the user is using the device, the emotion engine analyzes the user's facial expressions, voice, and biometric sensor data in real time, for example, capturing facial expressions using a camera and analyzing tone of voice from voice input.

[1348] Step 5:

[1349] The device sends the collected emotion data to a server, and the transmission process includes data encryption and security checks.

[1350] Step 6:

[1351] The server stores the emotion data received from the device in a database. The storage process includes data integrity checks and redundancy.

[1352] Step 7:

[1353] The server analyzes the stored personal information and emotional data, and the analysis algorithm takes into account the employee's health, areas of expertise, past work history, desired working style, and emotional state to identify the most suitable job.

[1354] Step 8:

[1355] The server uses the analysis results to generate a list of suitable jobs for the user, including job details, location, hours, and wages.

[1356] Step 9:

[1357] The server sends the generated job list to the terminal, where the list is displayed on the user's interface.

[1358] Step 10:

[1359] The user reviews the list of suggested jobs on their device, selects the job they are interested in, and clicks the apply button for that job.

[1360] Step 11:

[1361] The terminal transmits the application information for the selected job to the server, and the transmission process includes data encryption and security checks.

[1362] Step 12:

[1363] The server processes the received application information. The processing process includes checking the application content and extracting necessary data.

[1364] Step 13:

[1365] The server contacts the job provider and conveys the user's application information, for example, sending the user's information to the library administrator and requesting that an interview date be arranged.

[1366] Step 14:

[1367] After the server adjusts the interview schedule and application results, it sends the result information to the terminal, including the interview date and time and the documents that need to be prepared.

[1368] Step 15:

[1369] The user checks the provided interview information and prepares for the interview, for example, checking the interview date, time, location, and documents to bring.

[1370] Step 16:

[1371] The user goes through an interview and starts working. After completing the work, the user provides feedback using the terminal.

[1372] Step 17:

[1373] The terminal transmits the user's feedback information to the server, and the transmission process includes data encryption and security checks.

[1374] Step 18:

[1375] The server stores the received feedback information in a database. The storage process includes checking the data for consistency and preparing it for analysis.

[1376] Step 19:

[1377] The server utilizes the stored feedback information and emotion data for the next job suggestion, and executes an algorithm to improve the accuracy of the suggestion based on the feedback information.

[1378] As a specific example, consider a 70-year-old user who registers with the system, is in good health, and has previously worked as a bookstore clerk. The desired working style is three days a week, four hours a day. Along with this information, the emotion engine analyzes the user's facial expressions and voice to detect a positive emotional state. This information is sent from the device to the server for analysis. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[1379] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs and supports them in earning income while taking into consideration their emotional state.

[1380] Example 2

[1381] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1382] Currently, it is difficult for older people to easily find work that matches their health condition, skills, and emotional state. Furthermore, the process of selecting and applying for work is cumbersome, and there are limited ways to receive appropriate feedback, making it difficult for this feedback to be reflected in future job proposals.

[1383] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1384] In this invention, the server includes means for receiving personal information and emotional data entered by the user into the terminal and storing them in a database, means for analyzing the stored personal information and emotional data and matching the user with a job suitable for that user, means for generating the matched job information and sending it to the user's terminal, means for receiving and processing application information for the job selected by the user, means for notifying the user of the application result, means for analyzing the user's emotional state and reflecting the results in job suggestions, means for receiving the user's feedback information, storing the feedback information in a database, and using the feedback information for the next job suggestion, means for analyzing the relevance between information on the user's health status and job content, and means for collecting the user's emotional data in real time and generating job suggestions for the user based on that data. This allows seniors to easily find suitable jobs and enables job suggestions that take into account their emotional state and feedback.

[1385] "User" means an individual who uses the System to search for and apply for jobs.

[1386] "Terminal" refers to a device that allows a user to access the system, input information, and receive job offers. Specifically, this includes PCs, smartphones, tablets, etc.

[1387] "Server" refers to a central processing unit that receives, stores, analyzes, proposes jobs, and processes applications for information sent by users.

[1388] A "database" is a data storage location for saving and managing users' personal information, emotional data, feedback information, etc.

[1389] "Emotional data" refers to data that indicates the user's emotional state, such as data obtained from a facial recognition camera, a voice analysis device, or a biometric sensor.

[1390] "Job suggestions" are a list of jobs suitable for a user, which are generated by the server by analyzing the user's personal information and emotional data.

[1391] "Application Information" refers to information relating to an application made by a User for a particular position.

[1392] "Analysis Algorithm" refers to the calculation methods and programs used by the server to identify the most suitable job based on user data. Specifically, this includes machine learning and AI technologies.

[1393] "Feedback information" refers to evaluations and opinions about a job provided by a user after the job is completed.

[1394] "Matching" refers to the process in which the server analyzes a user's personal information and emotional data and selects a job that is suitable for the user based on the results.

[1395] "Real-time" means that data collection and processing are carried out in real time, and the results are reflected to users immediately.

[1396] This invention relates to a system that helps elderly people find jobs that match their health condition, skills, and emotional state, and helps them earn an income. This system has the function of suggesting appropriate jobs based on personal information and emotional data entered by the user through a terminal.

[1397] System Configuration

[1398] The system of the present invention includes the following elements:

[1399] 1. User terminal:

[1400] The device used by seniors to input personal information, have their emotional state analyzed, receive job suggestions, and apply for jobs can be a PC, smartphone, or tablet.

[1401] 2. Server:

[1402] This is a central processing unit that receives personal information and emotion data sent from the user's device, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's device.

[1403] 3. Database:

[1404] It is a data storage location for saving personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[1405] 4. Emotion Engine:

[1406] This engine has the function of analyzing the user's emotional state and reflecting the results in job suggestions. The emotion engine evaluates the user's emotions using, for example, facial expression recognition, voice analysis, and biometric sensor data.

[1407] Specific examples

[1408] For example, when a 70-year-old user registers with the system using a computer, they enter information such as their name, age, gender, health condition, areas of expertise, past work experience, and desired work style. At the same time, they are asked for consent to use a camera to capture their facial expressions and a microphone to analyze their voice. This information is sent to the server and stored in a database. The server then analyzes this information and proposes a position as "senior library staff member." When the user selects this position and submits an application, the server contacts the library administrator, arranges an interview date, and notifies the user of the results. After completing the job, the user provides feedback, which is used in the analysis for the next job proposal.

[1409] Prompt Sentence Examples

[1410] "A 70-year-old user is looking for a job that requires them to work 3 days a week, 4 hours a day. Their previous work experience was as a bookstore clerk and they are in good health. The facial recognition camera and voice analyzer detect a positive emotional state. Please suggest suitable jobs for this user."

[1411] Through these steps, the present invention helps seniors find suitable jobs and helps them earn an income while also taking into consideration their emotional state.

[1412] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1413] Step 1:

[1414] User Registration

[1415] Users access the system using devices such as computers, smartphones, and tablets.

[1416] Input: Personal information such as name, age, gender, health condition, areas of expertise, past work experience, and desired work style.

[1417] Specific operations: The user enters the necessary personal information through the input form on the terminal and presses the send button.

[1418] Output: The device sends this information to the server.

[1419] Step 2:

[1420] Collecting Emotional Data

[1421] While the user is using the device, the system collects the user's facial expressions and voice in real time.

[1422] Input: facial expression data from the camera, audio data from the microphone, biometric sensor data.

[1423] How it works: The camera captures the user's face and the emotion engine analyzes their facial expressions, while the microphone collects their tone of voice for voice analysis.

[1424] Output: Collected emotion data is sent to the server in real time.

[1425] Step 3:

[1426] Data storage and analysis

[1427] The server stores the personal information and emotion data sent from the terminal in a database.

[1428] Input: Personal information data, emotional data such as facial expressions and voice.

[1429] How it works: Personal information and emotional data are stored in a database, and then the stored data is subjected to an analysis algorithm, which uses machine learning algorithms to take into account factors such as health status, skills, and emotional state.

[1430] Output: As a result of the analysis, a list of jobs that are best suited for the user is generated.

[1431] Step 4:

[1432] Generate and submit job proposals

[1433] Based on the analysis results, the server generates a list of jobs appropriate for the user and sends it to the terminal.

[1434] Input: Analysis results from the database.

[1435] What it does: A recommendation engine runs on the server side and generates a list of jobs that are best suited to the user.

[1436] Output: The generated job list is sent to the user's terminal.

[1437] Step 5:

[1438] Job selection and application

[1439] The user checks the list of proposed jobs on the terminal, selects the job that interests them, and submits an application.

[1440] Input: Proposed job list.

[1441] Specific behavior: The user scrolls through the list of suggested jobs on their device, selects the job they are interested in, and then clicks the job application button.

[1442] Output: The application information for the selected job is sent to the server.

[1443] Step 6:

[1444] Application processing and notification of results

[1445] The server processes the received application information, contacts the job provider, and notifies the user of the results.

[1446] Input: Job application information.

[1447] Specific operation: The server contacts the job provider (e.g., library administrator) to arrange the interview schedule and application results. After arrangement, the server sends the results to the user's terminal.

[1448] Output: The interview schedule and results will be displayed on the terminal.

[1449] Step 7:

[1450] Gathering feedback

[1451] After completing a task, the user provides feedback to the system through the terminal.

[1452] Input: Job feedback information.

[1453] Specific actions: The user fills out a feedback form on the device and submits it.

[1454] Output: The feedback information is sent to the server and stored in the database. The server will use this feedback information in the next job proposal.

[1455] This will make it easier for older people to find suitable jobs and will enable job suggestions that take into account their emotional state and feedback.

[1456] (Application example 2)

[1457] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1458] It is difficult for elderly people to find appropriate work that suits their health, skills, and emotional state, which hinders the effective use of labor. It is also necessary to create an environment where elderly people can quickly select appropriate work at work sites such as logistics centers and work with peace of mind.

[1459] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1460] In this invention, the server includes: means for receiving personal information entered by a user into a terminal; means for storing the received personal information in a database; means for analyzing the stored personal information and matching the user with a job suitable for the user; means for generating matched job information and sending it to the user's terminal; means for receiving and processing application information for the job selected by the user; means for notifying the user of the application result; means for analyzing the user's facial expression and voice in real time using a camera and microphone mounted on the terminal and evaluating the user's emotional state; and means for selecting a job based on the emotional state. This makes it easier for elderly people to find the job that best suits their health condition and skills, and makes it possible to provide an appropriate work environment that takes their emotional state into consideration.

[1461] "User" refers to a person who inputs personal information and emotional state through a terminal and is offered suitable jobs.

[1462] "Device" refers to a device used by a user to input personal information or emotional state, including a PC, smartphone, tablet, smart glasses, etc.

[1463] "Personal information" refers to information such as the user's name, age, gender, health condition, areas of expertise, past work history, and desired working style.

[1464] The "database" is a data storage location that stores received personal information, emotional data, and feedback information, and is accessed from the server.

[1465] The "server" is a central processing unit that receives personal information and emotion data sent from the user terminal, stores them in a database, and analyzes them.

[1466] "Emotional state" refers to the psychological and emotional state that is evaluated by analyzing the user's facial expressions, voice, biometric sensor data, etc.

[1467] "Camera" refers to the photographic device installed on the device that captures the user's facial expressions.

[1468] "Microphone" refers to a voice input device installed on a terminal for recording the user's voice.

[1469] "Emotion analysis" refers to the process of assessing a user's emotional state based on data collected using a camera or microphone.

[1470] "Job" refers to the work or job title suggested to a user, and is selected based on the user's health, skills, and emotional state.

[1471] "Job suggestions" refers to a list of appropriate tasks and job titles provided to users based on the analysis results.

[1472] "Application" refers to the process you go through to apply for a selected position.

[1473] "Feedback" refers to information provided to the system by users about their experiences and opinions after completing a task.

[1474] The present invention is a system that makes it easy for elderly people to find jobs that suit their health, skills, and emotional state. This system is designed with a particular focus on supporting work in logistics centers. The following describes in detail the embodiments of the present invention.

[1475] System Configuration

[1476] The system of the present invention includes the following elements:

[1477] 1. User terminal: A device used by seniors to input personal information and emotional state, receive job suggestions, and apply for specific tasks. Smart glasses are examples of this.

[1478] 2. Server: A central processing unit that receives personal information and emotion data sent from the user terminal, stores them in a database, and analyzes them. It also generates job suggestions based on the analysis results and sends them to the user terminal.

[1479] 3. Database: A data repository that stores personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[1480] 4. Emotion Engine: This system evaluates the user's emotional state in real time based on facial expressions, voice data, etc., and reflects the results in job suggestions. This is done using a camera and microphone.

[1481] System Operation

[1482] First, the user (elderly person) accesses the system through smart glasses and enters their personal information (name, age, gender, health condition, specialty, past work history, desired work style, etc.). This information is sent to the server via the terminal.

[1483] Next, the camera and microphone built into the smart glasses capture the user's facial expressions and voice in real time, and the emotion engine analyzes the data, evaluates the user's emotional state as a result, and sends the data to the server.

[1484] The server stores the received personal information and emotional data in a database and uses an analytical algorithm to identify the most suitable job for the user, taking into account the user's health, skills, desired working style, and real-time emotional state.

[1485] The job suggestions generated as a result of the analysis (e.g., "light work" or "inventory") are sent from the server to the smart glasses. The user visually checks them, selects the appropriate job, and applies for it. This application information is sent back to the server, and after processing, the user is notified of the results.

[1486] Examples of concrete examples and prompts

[1487] A 70-year-old user accesses the system using smart glasses and enters personal information such as age, past work history (bookstore clerk), health status (good), and desired work schedule (three days a week, four hours a day).

[1488] The smart glasses use a camera to capture facial expressions and a microphone to collect tone of voice, and emotion analysis detects positive emotional states.

[1489] When this information is sent to the server, the system analyzes it and suggests "light work" and "inventory." The user confirms this and selects "light work" to apply. The application information is processed on the server, and the user is notified of the interview schedule and other details.

[1490] Prompt Sentence Examples

[1491] "Ichiro Tanaka registered with the system, was in good health, and had previously worked as a bookstore clerk. Facial and voice analysis detected a positive emotional state. Based on this information, the system suggested "light work" and "inventory taking."

[1492] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1493] Step 1:

[1494] The user enters personal information (such as name, age, gender, health condition, areas of expertise, past work history, and desired working style) through the smart glasses and sends it to the terminal.

[1495] Input: Name, age, gender, health condition, areas of expertise, past work experience, desired work style, etc.

[1496] Output: Personal information is stored on the device and sent to a server.

[1497] Specific operation: The user inputs information using the GUI of the smart glasses and presses the send button. The device then sends the input data to the server.

[1498] Step 2:

[1499] The server receives the personal information sent from the terminal and stores it in a database.

[1500] Input: Personal information sent from your device.

[1501] Output: Personal information is saved in a database.

[1502] What happens: The server receives the HTTP request and executes an SQL query to insert personal information into a database.

[1503] Step 3:

[1504] The device (smart glasses) has a built-in camera and microphone that capture the user's facial expressions and voice, which are then recorded as emotional data.

[1505] Input: facial expression data (images) and audio data.

[1506] Output: Captured facial expression and speech data.

[1507] What it does: The smart glasses' camera periodically takes pictures of the user's face, and the microphone records audio.

[1508] Step 4:

[1509] The facial expression and voice data captured by the device is analyzed by an emotion engine to evaluate the emotional state.

[1510] Input: facial expression and speech data.

[1511] Output: Emotional state score.

[1512] What it does: The device runs an emotion analysis algorithm, analyzes facial and voice data, and calculates an emotion score.

[1513] Step 5:

[1514] The device transmits the evaluated emotional state score to the server.

[1515] Input: Emotional state score.

[1516] Output: The emotional state score is sent to the server.

[1517] Specific operation: The device sends a data packet containing the emotion score to the server via an HTTP request.

[1518] Step 6:

[1519] The server performs job analysis using the received emotional state score and personal information, and suggests the most suitable job.

[1520] Input: Personal information and emotional state score.

[1521] Output: A list of job suggestions.

[1522] What it does: The server retrieves personal information and sentiment scores from the database and runs a job suggestion algorithm to generate a list of optimal jobs.

[1523] Step 7:

[1524] The server transmits the generated job proposal list to the terminal and displays it to the user.

[1525] Input: Job proposal list.

[1526] Output: A list of job suggestions is displayed on the terminal.

[1527] Specific operation: The server sends a data packet containing a list of job suggestions to the terminal as an HTTP response, and the terminal displays it to the user.

[1528] Step 8:

[1529] The user selects the desired job from the proposed jobs and sends the application information from the terminal to the server.

[1530] Enter: Application information for the selected position.

[1531] Output: The job application information is sent to the server.

[1532] Specific operation: When the user selects a job position in the GUI of the smart glasses and presses the application button, the device sends the application information to the server.

[1533] Step 9:

[1534] The server processes the received job application information, generates a result, and notifies the user.

[1535] Input: Job application information.

[1536] Output: Application results.

[1537] Specific operation: The server cooperates with the job provider, processes the application information, generates the results, and sends them to the terminal to notify the user.

[1538] Examples of concrete examples and prompts

[1539] A 70-year-old user accesses the system using smart glasses and enters personal information such as "age," "past work history (bookstore clerk)," "health condition (good)," and "desired work style (3 days a week, 4 hours a day)." The smart glasses use a camera to capture "facial expressions" and a microphone to collect "tone of voice." As a result of emotion analysis, a "positive emotional state" is detected, and this information is sent to the server. The system suggests "light work" and "inventory taking," and the user selects "light work" and submits a request, after which the server notifies the user of the result.

[1540] Prompt Sentence Examples

[1541] "Ichiro Tanaka registered with the system, was in good health, and had previously worked as a bookstore clerk. Facial and voice analysis detected a positive emotional state. Based on this information, the system suggested "light work" and "inventory taking."

[1542] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1543] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1544] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1545] [Fourth embodiment]

[1546] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1547] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1548] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1549] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1550] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1551] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1552] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1553] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1554] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1555] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1556] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1557] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1558] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1559] The present invention provides a system that helps elderly people easily find jobs that match their health condition and skills and earn an income. This system has a function to suggest suitable jobs based on personal information entered by the user through a terminal.

[1560] System Configuration

[1561] The system of the present invention includes the following elements:

[1562] 1. User terminal:

[1563] This is a device used by seniors to enter personal information, receive job offers, and apply for jobs. Examples include computers, smartphones, and tablets.

[1564] 2. Server:

[1565] This is a central processing unit that receives personal information sent from the user's terminal, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's terminal.

[1566] 3. Database:

[1567] It is a data storage location for saving personal information and feedback information collected from users, and is accessed from the server.

[1568] System processing flow

[1569] 1. User Registration

[1570] Users (elderly people) access the system on their terminals and enter their personal information (such as name, age, gender, health condition, specialty, past work history, and desired work style). This information is sent to the server via the terminal.

[1571] 2. Data storage and analysis

[1572] The server stores the personal information received from the device in a database, which is then analyzed using an analytical algorithm to identify the most suitable job for the user, taking into account the user's health, skills, and preferred working style.

[1573] 3. Generate and submit job proposals

[1574] Based on the analysis results, the server generates a list of jobs that are best suited to the user. For example, the following jobs may be suggested:

[1575] "Senior library staff, 3 days a week, 4 hours a day, 900 yen per hour"

[1576] "Park guide, 2 days a week, 3 hours a day, 1000 yen per hour"

[1577] The generated job list is sent from the server to the user's terminal.

[1578] 4. Job selection and application

[1579] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent to the server via the terminal.

[1580] 5. Application Processing and Notification of Results

[1581] The server processes the received application information and contacts the job provider (such as the library administrator). It then arranges the interview date and application results, and notifies the user of the results. For example, it sends information such as "The interview date and time is XX day, YY time."

[1582] 6. Gathering Feedback

[1583] After completing a task, the user provides feedback to the system through their terminal. The feedback information is sent to the server and stored in the database. This feedback is used for analysis to improve the next task suggestions.

[1584] Specific examples

[1585] For example, suppose a 70-year-old user registers with the system, is in good health, and has worked as a bookstore clerk in the past. Their desired working style is three days a week, four hours a day. This information is sent from the terminal to the server, where it is analyzed. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[1586] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs, alleviates income anxiety, and provides them with a new purpose in life.

[1587] The processing flow will be explained below.

[1588] Step 1:

[1589] The user accesses the device and opens the new registration screen, where they enter personal information such as their name, age, gender, health condition, area of ​​expertise, past work history, and desired work style.

[1590] Step 2:

[1591] The device sends the entered personal information to the server, and the transmission process includes data encryption and security checks.

[1592] Step 3:

[1593] The server stores the personal information received from the device in a database. The storage process includes data integrity checks and redundancy.

[1594] Step 4:

[1595] The server analyzes the stored personal information, and the analysis algorithm identifies the most suitable job based on the employee's health, areas of expertise, past work history, and desired working style.

[1596] Step 5:

[1597] The server uses the analysis results to generate a list of suitable jobs for the user, including job details, location, hours, and wages.

[1598] Step 6:

[1599] The server sends the generated job list to the terminal, where the list is displayed on the user's interface.

[1600] Step 7:

[1601] The user reviews the list of suggested jobs on their device, selects the job they are interested in, and clicks the apply button for that job.

[1602] Step 8:

[1603] The terminal transmits the application information for the selected job to the server, and the transmission process includes data encryption and security checks.

[1604] Step 9:

[1605] The server processes the received application information. The processing process includes checking the application content and extracting necessary data.

[1606] Step 10:

[1607] The server contacts the job provider and conveys the user's application information, for example, sending the user's information to the library administrator and requesting that an interview date be arranged.

[1608] Step 11:

[1609] After the server adjusts the interview schedule and application results, it sends the result information to the terminal, including the interview date and time and the documents that need to be prepared.

[1610] Step 12:

[1611] The user checks the provided interview information and prepares for the interview, for example, checking the interview date, time, location, and documents to bring.

[1612] Step 13:

[1613] The user goes through an interview and starts working. After completing the work, the user provides feedback using the terminal.

[1614] Step 14:

[1615] The terminal transmits the user's feedback information to the server, and the transmission process includes data encryption and security checks.

[1616] Step 15:

[1617] The server stores the received feedback information in a database. The storage process includes checking the data for consistency and preparing it for analysis.

[1618] Step 16:

[1619] The server analyzes the stored feedback information and uses it to improve the next job suggestions. An algorithm is run to improve the accuracy of the suggestions based on the feedback information.

[1620] These are the specific processing steps of the system, which will help seniors find suitable jobs and provide support for them to earn an income.

[1621] Example 1

[1622] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1623] It is difficult for elderly people to easily find jobs that match their health condition and skills. In particular, to help elderly people find suitable jobs, a system is needed that can suggest suitable jobs taking into account their physical condition, skills, and desired working style. In addition, a system is needed that can continue to suggest more suitable jobs by reflecting feedback on jobs in the next job proposal.

[1624] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1625] In this invention, the server includes means for receiving personal information entered by a user into a terminal, means for storing the received personal information in a database, means for analyzing the stored personal information and matching the user with a job suitable for the user, means for generating matched job information and sending it to the user's terminal, means for receiving and processing application information for the job selected by the user, means for notifying the user of the application result, means for the user to provide feedback information after completing the job, means for storing the feedback information in a database and using it to suggest future jobs, and means for executing an analysis algorithm to link all of the above means. This makes it possible for elderly people to easily find jobs suitable for their health condition and skills, and by reflecting the feedback information in future job suggestions, even more optimal job suggestions can be made.

[1626] "Users" refer to individuals who use the system to find jobs that suit their health status and skills.

[1627] "Terminal" refers to the device used by a user to enter personal information and access the system, including, specifically, a PC, smartphone, tablet, etc.

[1628] "Personal information" refers to information necessary to propose a job, such as the user's name, age, gender, health condition, areas of expertise, past work history, and desired working style.

[1629] "Server" refers to a central processing unit that receives personal information sent by a user from a terminal, stores it in a database, analyzes it, generates job information, and sends it to the user.

[1630] "Database" refers to data storage for storing personal information and feedback information so that it can be retrieved and used as needed.

[1631] "Analysis algorithm" refers to the calculation procedures and models used to identify and suggest suitable jobs for users based on stored personal information and feedback information.

[1632] "Job Information" refers to the specific job description generated based on the analysis algorithm and transmitted to the User, including details such as job duties, working hours, and salary.

[1633] "Application Information" refers to the necessary information entered by a user when applying for a selected position.

[1634] "Feedback information" refers to the evaluation and opinions of the job provided by the user after completing the job. This information will be used in the next recommendation algorithm.

[1635] A "generative AI model" is a model that uses artificial intelligence to make job suggestions. It analyzes users' personal information and feedback information as input and suggests the most suitable jobs.

[1636] The present invention provides a system that helps elderly people easily find jobs that match their health condition and skills and earn income. Specifically, the system proposes suitable jobs based on personal information entered by the user through a terminal and performs a series of processes to manage the applications.

[1637] System Configuration

[1638] The system of the present invention includes the following elements:

[1639] 1. User terminal

[1640] These are devices that seniors use to enter personal information, receive job offers, and apply for jobs. Specific hardware used includes PCs, smartphones, and tablets.

[1641] 2. Server

[1642] This is a central processing unit that receives personal information sent from the user's terminal, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's terminal.

[1643] 3. Database

[1644] It is a data storage location for saving personal information and feedback information collected from users, and is accessed from the server.

[1645] 4. Analysis Algorithm

[1646] This model includes calculation procedures to identify the most suitable job for a user, taking into account their health condition, skills, and desired working style. This analysis algorithm uses a generative AI model.

[1647] System processing flow

[1648] Users access the system using a terminal and enter personal information such as their name, age, gender, health condition, specialty, past work history, desired work style, etc. This information is sent from the terminal to the server, which then stores it in a database.

[1649] The server then uses an analysis algorithm to analyze the data based on the stored personal information, and generates a list of optimal job suggestions based on the results of the analysis, which is then sent to the user's device.

[1650] The user checks the list of proposed jobs, selects the job they are interested in, and submits an application. The application information is then sent from the terminal to the server, where it is processed. The server then contacts the job provider and notifies the user of the interview schedule and application results.

[1651] After completing a task, the user provides feedback to the system through the terminal. The server stores this feedback in a database and uses it for analysis when making the next task suggestion.

[1652] Specific examples

[1653] For example, suppose a 70-year-old user registers with the system, is in good health, and has previously worked as a bookstore clerk. The user's desired working style is three days a week, four hours a day. This information is sent from the terminal to the server, where it is analyzed. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and is able to attend the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[1654] Prompt Sentence Examples

[1655] "A 70-year-old user has entered the system as a bookstore clerk with a good health history and a preferred work schedule of three days a week, four hours a day. What kind of job will be suggested?"

[1656] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs, alleviates income anxiety, and provides them with a new purpose in life.

[1657] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1658] Step 1:

[1659] Enter personal information

[1660] Users access the system using a terminal and enter personal information such as name, age, gender, health condition, specialty, past work history, and desired work style. Specifically, the user enters information into a web form and clicks the "Submit" button. The entered information is saved in JSON format.

[1661] Input: Personal information (name, age, gender, health condition, area of ​​expertise, past work history, desired work style)

[1662] Output: The entered personal information is temporarily saved on the device in JSON format.

[1663] Step 2:

[1664] Data transmission

[1665] The device sends the entered personal information to the server. Specifically, when the "Submit" button is clicked, the device calls the backend API endpoint and sends the personal information to the server as a POST request.

[1666] Enter: Personal information stored on your device

[1667] Output: Personal information sent to the server (JSON format)

[1668] Step 3:

[1669] Information storage

[1670] The server receives the personal information sent from the device and stores it in a database. The specific operation of the server is to convert the received data into an appropriate format and insert it into a database table.

[1671] Input: Personal information received by the server

[1672] Output: Personal information stored in a database

[1673] Step 4:

[1674] Data analysis

[1675] The server uses an analytical algorithm to identify the most suitable job based on the stored personal information. This analysis generates a list of job suggestions that take into account the user's health condition, skills, and desired working style. The server's specific operation involves calling the analytical algorithm's function and passing the necessary parameters.

[1676] Input: Personal information stored in the database

[1677] Output: A list of job suggestions generated by the analysis algorithm

[1678] Step 5:

[1679] Job List Submission

[1680] The server sends the generated job list to the user's device. Specifically, it converts the generated list into JSON format and sends it to the device via API.

[1681] Input: A list of job suggestions generated by the analysis algorithm

[1682] Output: A list of job suggestions sent to the user's device

[1683] Step 6:

[1684] Job selection

[1685] The user checks the list of suggested jobs on the terminal and selects the job they are interested in. The specific operation of the terminal is for the user to click on an option from the list.

[1686] Input: Job proposal list sent to terminal

[1687] Output: Job information selected by the user

[1688] Step 7:

[1689] Submit application

[1690] The user applies for the selected position and sends the application information from the terminal to the server. Specifically, when the user clicks the application button, the application information is sent to the server.

[1691] Input: Job information selected by the user

[1692] Output: Application information sent to the server

[1693] Step 8:

[1694] Processing application information

[1695] The server processes the received application information and contacts the job provider (e.g., library administrator). Specifically, the server sends an email to the provider or contacts them via API.

[1696] Input: Application information received by the server

[1697] Output: Application information sent to job provider

[1698] Step 9:

[1699] Result notification

[1700] The server adjusts the interview schedule and results and notifies the user. Specifically, it generates interview date and time information and sends it to the user's terminal.

[1701] Input: Interview schedule and results information generated by the server

[1702] Output: Result notification sent to the user's device

[1703] Step 10:

[1704] Feedback Input

[1705] After completing a task, the user provides feedback information through the terminal. Specifically, the user fills in the feedback form and clicks the "Submit" button.

[1706] Input: Feedback information entered by the user

[1707] Output: Feedback information stored on the device

[1708] Step 11:

[1709] Send Feedback

[1710] The device sends feedback information to the server, specifically by calling an API that sends input data to the backend.

[1711] Input: Feedback information stored on the device

[1712] Output: Feedback information sent to the server

[1713] Step 12:

[1714] Feedback saved

[1715] The server stores the received feedback information in a database, specifically by writing the feedback information into the appropriate table.

[1716] Input: Feedback information received by the server

[1717] Output: Feedback information stored in a database

[1718] Step 13:

[1719] Data analysis and feedback

[1720] The server then analyzes the stored feedback information to improve the next job suggestion. Specifically, the server uses the feedback information as input to the analysis algorithm to generate the optimal suggestion.

[1721] Input: Feedback information stored in the database

[1722] Output: Next job proposal incorporating feedback

[1723] This is the specific flow of the program's processing. Through this series of steps, users can continuously find suitable jobs, and the server can use the feedback to make even more suitable job suggestions.

[1724] (Application example 1)

[1725] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1726] It is difficult for older people to find suitable work based on their health condition and skills, and to receive appropriate support in the process of performing those jobs. Therefore, there is a need to provide an environment in which older people can work efficiently and safely.

[1727] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1728] In this invention, the server includes means for receiving personal information entered by the user into the terminal, means for storing the received personal information in a database, and means for analyzing the stored personal information and matching the user with a job suitable for that user. This enables elderly people to find a job suitable for them and receive appropriate task suggestions and support for that job.

[1729] "User Terminal" means the device used by a User to enter personal information and receive job offers.

[1730] The "server" is a central processing unit that receives personal information sent from a user terminal, stores it in a database, and analyzes it.

[1731] "Database" refers to a data storage location for storing personal information and feedback information collected from users.

[1732] "Matching" is the process of analyzing stored personal information and suggesting suitable jobs for users.

[1733] A "robot device" is a device that assists users in their work by suggesting appropriate tasks based on their characteristics and skills.

[1734] "Feedback" refers to the reactions and opinions provided by users after completing a task, which are reflected in the next task proposal.

[1735] "Health status" refers to the physical and mental health status of the user, which is important information that influences job content suggestions.

[1736] MODE FOR CARRYING OUT THE INVENTION

[1737] The present invention provides a system that supports elderly people in easily finding work that suits their health condition and skills and earning an income. This system is realized by combining the following means.

[1738] System Configuration

[1739] 1. User terminal

[1740] The user terminal is a device used by seniors to input personal information, receive job offers, and apply for jobs. Examples include smartphones, tablets, and PCs. The user terminal communicates with the server and transmits the seniors' input information and application information to the server.

[1741] 2. Server

[1742] The server receives personal information sent from the user's terminal and stores it in a database. It also analyzes the stored personal information, matches the user with a suitable job, generates job information, and sends it to the user's terminal. The server functions as the central processing unit for the entire system and also communicates with job providers.

[1743] 3. Database

[1744] The database is a data repository for storing personal information and feedback collected from users, making it possible to utilize the elderly's past work history and feedback in suggesting future jobs.

[1745] 4. Robotic Devices

[1746] The robotic devices are devices that support the work of elderly workers in factories by suggesting appropriate tasks based on their characteristics and skill sets. Specifically, they include robotic arms and exoskeletons worn by the elderly. This allows elderly workers to work efficiently and safely.

[1747] System action

[1748] User registration

[1749] Users (elderly people) access the system on their terminals and enter personal information such as their name, age, gender, health condition, specialty, past work history, and desired work style. This information is sent to the server via the terminal.

[1750] Data storage and analysis

[1751] The server stores the received personal information in a database and uses an analytical algorithm to identify the most suitable job, taking into account the user's health, skills, and preferred working style.

[1752] Generate and submit job proposals

[1753] The server generates a list of optimal jobs based on the analysis results and sends it to the user's terminal. For example, it may suggest a job such as "inspecting and packing parts."

[1754] Job selection and application

[1755] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. They then apply for the selected job through the terminal, and the application information is sent to the server.

[1756] Application processing and notification of results

[1757] The server processes the application information, contacts job providers, arranges interview dates and results, and notifies the user.

[1758] Hardware and software used

[1759] Hardware:

[1760] Smartphones and tablets (user devices)

[1761] server

[1762] Robotic arms and exoskeletons (robotic devices)

[1763] Sensors (health monitoring)

[1764] software:

[1765] SQLite (database management)

[1766] Python (data analysis and task proposals)

[1767] Specific examples

[1768] For example, a 70-year-old user registers with the system, is in good health, and has previously operated machinery in a factory. He or she would like to work three days a week, four hours a day. Based on this information, the system suggests the job of "assisting with light work (inspecting and packing parts)." The user selects this job and submits their application. Once the work begins, a robotic device supports the user and monitors their health while they work. The system automatically adjusts their workload as needed, ensuring safe and efficient work.

[1769] Example prompt for a generative AI model:

[1770] "Generate an algorithm for an application that suggests suitable light work tasks for a 70-year-old factory worker in good health based on his desired schedule (3 days a week, 4 hours a day). The tasks should include specific work content and schedule. Additionally, add a function to monitor his health status in real time and adjust as necessary."

[1771] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1772] Step 1:

[1773] User Registration

[1774] Users access the system using a user terminal and enter their personal information (name, age, gender, health condition, specialty, past work history, desired work style). The entered information is sent from the terminal to the server.

[1775] Input: Personal information entered by the user into the user terminal

[1776] Processing: The server receives the information and stores it in a database

[1777] Output: User information stored in the database

[1778] Step 2:

[1779] Data storage and analysis

[1780] The server analyzes the stored personal information, and an algorithm identifies the most suitable job for the user, taking into account their health condition, skills, and desired working style.

[1781] Input: User information stored in the database

[1782] Processing: The server analyzes the data using an analysis algorithm

[1783] Output: Optimal job information as an analysis result

[1784] Step 3:

[1785] Generate and submit job proposals

[1786] The server generates a list of optimal tasks based on the analysis results and sends it to the user's device, such as "assisting with light work (inspecting and packing parts)."

[1787] Input: Job information of analysis results

[1788] Processing: The server generates a job list and sends it to the user terminal.

[1789] Output: Job list displayed on user's terminal

[1790] Step 4:

[1791] Job selection and application

[1792] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent from the terminal to the server.

[1793] Input: User selected job role

[1794] Processing: The terminal sends the selection information to the server.

[1795] Output: Application information sent to the server

[1796] Step 5:

[1797] Application processing and notification of results

[1798] The server processes the application information, contacts job providers, schedules interviews and notifies users of the results.

[1799] Input: Job information applied for by the user

[1800] Processing: The server communicates with the job provider and coordinates the results

[1801] Output: Interview schedule and result notification sent to user terminal

[1802] Step 6:

[1803] Task suggestion and support by robotic devices

[1804] The server proposes suitable tasks based on the user's characteristics and skills, and controls the robotic device to assist with the work. During the work, sensors monitor the user's health and automatically adjust the workload as needed.

[1805] Input: User characteristics, skill information, health status

[1806] Processing: The server proposes suitable tasks and controls the robotic device.

[1807] Output: Task support and workload adjustment by robotic devices

[1808] Step 7:

[1809] Gathering feedback

[1810] After completing a task, the user provides feedback through the terminal, and the feedback information is sent from the terminal to the server and stored in the database.

[1811] Input: User-provided feedback information

[1812] Processing: The server receives the feedback and stores it in a database

[1813] Output: Feedback information stored in a database

[1814] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1815] The present invention provides a system that helps elderly people easily find jobs that match their health condition, skills, and emotional state, and helps them earn an income. This system has a function to suggest appropriate jobs based on personal information and emotional state entered by the user through a terminal.

[1816] System Configuration

[1817] The system of the present invention includes the following elements:

[1818] 1. User terminal:

[1819] This is a device that seniors use to input their personal information, have their emotional state analyzed, receive job suggestions, and apply for jobs. Examples include PCs, smartphones, and tablets.

[1820] 2. Server:

[1821] This is a central processing unit that receives personal information and emotion data sent from the user's device, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's device.

[1822] 3. Database:

[1823] It is a data storage location for saving personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[1824] 4. Emotion Engine:

[1825] This engine has the function of analyzing the user's emotional state and reflecting the results in job suggestions. The emotion engine evaluates the user's emotions using, for example, facial expression recognition, voice analysis, and biometric sensor data.

[1826] System processing flow

[1827] 1. User Registration

[1828] Users (elderly people) access the system on their terminals and enter their personal information (such as name, age, gender, health condition, specialty, past work history, and desired work style). This information is sent to the server via the terminal.

[1829] 2. Collecting Emotional Data

[1830] While the user is using the device, the emotion engine analyzes the user's facial expressions, voice, and biometric sensor data in real time, for example, capturing facial expressions using a camera and analyzing tone of voice from voice input.

[1831] 3. Data storage and analysis

[1832] The server stores the personal information and emotional data received from the device in a database. The stored data is then analyzed using an analytical algorithm to identify the most suitable job. This analytical algorithm takes into account the user's health, skills, preferred working style, and emotional state.

[1833] 4. Generate and submit job proposals

[1834] Based on the analysis results, the server generates a list of suitable jobs for the user. For example, the following jobs are suggested:

[1835] "Senior library staff, 3 days a week, 4 hours a day, 900 yen per hour"

[1836] "Park guide, 2 days a week, 3 hours a day, 1000 yen per hour"

[1837] The generated job list is sent from the server to the user's terminal.

[1838] 5. Job Selection and Application

[1839] The user checks the list of proposed jobs on the terminal and selects the job they are interested in. Then, they apply for the selected job through the terminal, and the application information is sent to the server via the terminal.

[1840] 6. Application Processing and Notification of Results

[1841] The server processes the received application information and contacts the job provider (such as the library administrator). It then arranges the interview date and application results, and notifies the user of the results. For example, it sends information such as "The interview date and time is XX day, YY time."

[1842] 7. Gathering Feedback

[1843] After completing a task, the user provides feedback to the system through their terminal. The feedback information is sent to the server and stored in the database. This feedback is used for analysis to improve the next task suggestions.

[1844] Specific examples

[1845] For example, suppose a 70-year-old user registers with the system, is in good health, and has previously worked as a bookstore clerk. The desired working style is three days a week, four hours a day. Along with this information, the emotion engine analyzes the user's facial expressions and voice to detect a positive emotional state. This information is sent from the device to the server for analysis. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator to schedule an interview. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[1846] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs and supports them in earning income while taking into consideration their emotional state.

[1847] The processing flow will be explained below.

[1848] Step 1:

[1849] The user accesses the device and opens the new registration screen, where they enter personal information such as their name, age, gender, health condition, area of ​​expertise, past work history, and desired work style.

[1850] Step 2:

[1851] The device sends the entered personal information to the server, and the transmission process includes data encryption and security checks.

[1852] Step 3:

[1853] The server stores the personal information received from the device in a database. The storage process includes data integrity checks and redundancy.

[1854] Step 4:

[1855] While the user is using the device, the emotion engine analyzes the user's facial expressions, voice, and biometric sensor data in real time, for example, capturing facial expressions using a camera and analyzing tone of voice from voice input.

[1856] Step 5:

[1857] The device sends the collected emotion data to a server, and the transmission process includes data encryption and security checks.

[1858] Step 6:

[1859] The server stores the emotion data received from the device in a database. The storage process includes data integrity checks and redundancy.

[1860] Step 7:

[1861] The server analyzes the stored personal information and emotional data, and the analysis algorithm takes into account the employee's health, areas of expertise, past work history, desired working style, and emotional state to identify the most suitable job.

[1862] Step 8:

[1863] The server uses the analysis results to generate a list of suitable jobs for the user, including job details, location, hours, and wages.

[1864] Step 9:

[1865] The server sends the generated job list to the terminal, where the list is displayed on the user's interface.

[1866] Step 10:

[1867] The user reviews the list of suggested jobs on their device, selects the job they are interested in, and clicks the apply button for that job.

[1868] Step 11:

[1869] The terminal transmits the application information for the selected job to the server, and the transmission process includes data encryption and security checks.

[1870] Step 12:

[1871] The server processes the received application information. The processing process includes checking the application content and extracting necessary data.

[1872] Step 13:

[1873] The server contacts the job provider and conveys the user's application information, for example, sending the user's information to the library administrator and requesting that an interview date be arranged.

[1874] Step 14:

[1875] After the server adjusts the interview schedule and application results, it sends the result information to the terminal, including the interview date and time and the documents that need to be prepared.

[1876] Step 15:

[1877] The user checks the provided interview information and prepares for the interview, for example, checking the interview date, time, location, and documents to bring.

[1878] Step 16:

[1879] The user goes through an interview and starts working. After completing the work, the user provides feedback using the terminal.

[1880] Step 17:

[1881] The terminal transmits the user's feedback information to the server, and the transmission process includes data encryption and security checks.

[1882] Step 18:

[1883] The server stores the received feedback information in a database. The storage process includes checking the data for consistency and preparing it for analysis.

[1884] Step 19:

[1885] The server utilizes the stored feedback information and emotion data for the next job suggestion, and executes an algorithm to improve the accuracy of the suggestion based on the feedback information.

[1886] As a specific example, consider a 70-year-old user who registers with the system, is in good health, and has previously worked as a bookstore clerk. The desired working style is three days a week, four hours a day. Along with this information, the emotion engine analyzes the user's facial expressions and voice to detect a positive emotional state. This information is sent from the device to the server for analysis. As a result of the analysis, the position of "senior library staff" is proposed. When the user selects this position and submits an application, the server contacts the library administrator and arranges an interview date. The user is notified of the results and then attends the interview. After starting the job, the user provides feedback, which is used when proposing the next job.

[1887] The above is a specific embodiment of the present invention. Through these steps, the present invention helps elderly people find suitable jobs and supports them in earning income while taking into consideration their emotional state.

[1888] Example 2

[1889] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1890] Currently, it is difficult for older people to easily find work that matches their health condition, skills, and emotional state. Furthermore, the process of selecting and applying for work is cumbersome, and there are limited ways to receive appropriate feedback, making it difficult for this feedback to be reflected in future job proposals.

[1891] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1892] In this invention, the server includes means for receiving personal information and emotional data entered by the user into the terminal and storing them in a database, means for analyzing the stored personal information and emotional data and matching the user with a job suitable for that user, means for generating the matched job information and sending it to the user's terminal, means for receiving and processing application information for the job selected by the user, means for notifying the user of the application result, means for analyzing the user's emotional state and reflecting the results in job suggestions, means for receiving the user's feedback information, storing the feedback information in a database, and using the feedback information for the next job suggestion, means for analyzing the relevance between information on the user's health status and job content, and means for collecting the user's emotional data in real time and generating job suggestions for the user based on that data. This allows seniors to easily find suitable jobs and enables job suggestions that take into account their emotional state and feedback.

[1893] "User" means an individual who uses the System to search for and apply for jobs.

[1894] "Terminal" refers to a device that allows a user to access the system, input information, and receive job offers. Specifically, this includes PCs, smartphones, tablets, etc.

[1895] "Server" refers to a central processing unit that receives, stores, analyzes, proposes jobs, and processes applications for information sent by users.

[1896] A "database" is a data storage location for saving and managing users' personal information, emotional data, feedback information, etc.

[1897] "Emotional data" refers to data that indicates the user's emotional state, such as data obtained from a facial recognition camera, a voice analysis device, or a biometric sensor.

[1898] "Job suggestions" are a list of jobs suitable for a user, which are generated by the server by analyzing the user's personal information and emotional data.

[1899] "Application Information" refers to information relating to an application made by a User for a particular position.

[1900] "Analysis Algorithm" refers to the calculation methods and programs used by the server to identify the most suitable job based on user data. Specifically, this includes machine learning and AI technologies.

[1901] "Feedback information" refers to evaluations and opinions about a job provided by a user after the job is completed.

[1902] "Matching" refers to the process in which the server analyzes a user's personal information and emotional data and selects a job that is suitable for the user based on the results.

[1903] "Real-time" means that data collection and processing are carried out in real time, and the results are reflected to users immediately.

[1904] This invention relates to a system that helps elderly people find jobs that match their health condition, skills, and emotional state, and helps them earn an income. This system has the function of suggesting appropriate jobs based on personal information and emotional data entered by the user through a terminal.

[1905] System Configuration

[1906] The system of the present invention includes the following elements:

[1907] 1. User terminal:

[1908] The device used by seniors to input personal information, have their emotional state analyzed, receive job suggestions, and apply for jobs can be a PC, smartphone, or tablet.

[1909] 2. Server:

[1910] This is a central processing unit that receives personal information and emotion data sent from the user's device, stores it in a database, and analyzes it. It also generates a job suggestion list based on the analysis results and sends it to the user's device.

[1911] 3. Database:

[1912] It is a data storage location for saving personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[1913] 4. Emotion Engine:

[1914] This engine has the function of analyzing the user's emotional state and reflecting the results in job suggestions. The emotion engine evaluates the user's emotions using, for example, facial expression recognition, voice analysis, and biometric sensor data.

[1915] Specific examples

[1916] For example, when a 70-year-old user registers with the system using a computer, they enter information such as their name, age, gender, health condition, areas of expertise, past work experience, and desired work style. At the same time, they are asked for consent to use a camera to capture their facial expressions and a microphone to analyze their voice. This information is sent to the server and stored in a database. The server then analyzes this information and proposes a position as "senior library staff member." When the user selects this position and submits an application, the server contacts the library administrator, arranges an interview date, and notifies the user of the results. After completing the job, the user provides feedback, which is used in the analysis for the next job proposal.

[1917] Prompt Sentence Examples

[1918] "A 70-year-old user is looking for a job that requires them to work 3 days a week, 4 hours a day. Their previous work experience was as a bookstore clerk and they are in good health. The facial recognition camera and voice analyzer detect a positive emotional state. Please suggest suitable jobs for this user."

[1919] Through these steps, the present invention helps seniors find suitable jobs and helps them earn an income while also taking into consideration their emotional state.

[1920] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1921] Step 1:

[1922] User Registration

[1923] Users access the system using devices such as computers, smartphones, and tablets.

[1924] Input: Personal information such as name, age, gender, health condition, areas of expertise, past work experience, and desired work style.

[1925] Specific operations: The user enters the necessary personal information through the input form on the terminal and presses the send button.

[1926] Output: The device sends this information to the server.

[1927] Step 2:

[1928] Collecting Emotional Data

[1929] While the user is using the device, the system collects the user's facial expressions and voice in real time.

[1930] Input: facial expression data from the camera, audio data from the microphone, biometric sensor data.

[1931] How it works: The camera captures the user's face and the emotion engine analyzes their facial expressions, while the microphone collects their tone of voice for voice analysis.

[1932] Output: Collected emotion data is sent to the server in real time.

[1933] Step 3:

[1934] Data storage and analysis

[1935] The server stores the personal information and emotion data sent from the terminal in a database.

[1936] Input: Personal information data, emotional data such as facial expressions and voice.

[1937] How it works: Personal information and emotional data are stored in a database, and then the stored data is subjected to an analysis algorithm, which uses machine learning algorithms to take into account factors such as health status, skills, and emotional state.

[1938] Output: As a result of the analysis, a list of jobs that are best suited for the user is generated.

[1939] Step 4:

[1940] Generate and submit job proposals

[1941] Based on the analysis results, the server generates a list of jobs appropriate for the user and sends it to the terminal.

[1942] Input: Analysis results from the database.

[1943] What it does: A recommendation engine runs on the server side and generates a list of jobs that are best suited to the user.

[1944] Output: The generated job list is sent to the user's terminal.

[1945] Step 5:

[1946] Job selection and application

[1947] The user checks the list of proposed jobs on the terminal, selects the job that interests them, and submits an application.

[1948] Input: Proposed job list.

[1949] Specific behavior: The user scrolls through the list of suggested jobs on their device, selects the job they are interested in, and then clicks the job application button.

[1950] Output: The application information for the selected job is sent to the server.

[1951] Step 6:

[1952] Application processing and notification of results

[1953] The server processes the received application information, contacts the job provider, and notifies the user of the results.

[1954] Input: Job application information.

[1955] Specific operation: The server contacts the job provider (e.g., library administrator) to arrange the interview schedule and application results. After arrangement, the server sends the results to the user's terminal.

[1956] Output: The interview schedule and results will be displayed on the terminal.

[1957] Step 7:

[1958] Gathering feedback

[1959] After completing a task, the user provides feedback to the system through the terminal.

[1960] Input: Job feedback information.

[1961] Specific actions: The user fills out a feedback form on the device and submits it.

[1962] Output: The feedback information is sent to the server and stored in the database. The server will use this feedback information in the next job proposal.

[1963] This will make it easier for older people to find suitable jobs and will enable job suggestions that take into account their emotional state and feedback.

[1964] (Application example 2)

[1965] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1966] It is difficult for elderly people to find appropriate work that suits their health, skills, and emotional state, which hinders the effective use of labor. It is also necessary to create an environment where elderly people can quickly select appropriate work at work sites such as logistics centers and work with peace of mind.

[1967] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1968] In this invention, the server includes: means for receiving personal information entered by a user into a terminal; means for storing the received personal information in a database; means for analyzing the stored personal information and matching the user with a job suitable for the user; means for generating matched job information and sending it to the user's terminal; means for receiving and processing application information for the job selected by the user; means for notifying the user of the application result; means for analyzing the user's facial expression and voice in real time using a camera and microphone mounted on the terminal and evaluating the user's emotional state; and means for selecting a job based on the emotional state. This makes it easier for elderly people to find the job that best suits their health condition and skills, and makes it possible to provide an appropriate work environment that takes their emotional state into consideration.

[1969] "User" refers to a person who inputs personal information and emotional state through a terminal and is offered suitable jobs.

[1970] "Device" refers to a device used by a user to input personal information or emotional state, including a PC, smartphone, tablet, smart glasses, etc.

[1971] "Personal information" refers to information such as the user's name, age, gender, health condition, areas of expertise, past work history, and desired working style.

[1972] The "database" is a data storage location that stores received personal information, emotional data, and feedback information, and is accessed from the server.

[1973] The "server" is a central processing unit that receives personal information and emotion data sent from the user terminal, stores them in a database, and analyzes them.

[1974] "Emotional state" refers to the psychological and emotional state that is evaluated by analyzing the user's facial expressions, voice, biometric sensor data, etc.

[1975] "Camera" refers to the photographic device installed on the device that captures the user's facial expressions.

[1976] "Microphone" refers to a voice input device installed on a terminal for recording the user's voice.

[1977] "Emotion analysis" refers to the process of assessing a user's emotional state based on data collected using a camera or microphone.

[1978] "Job" refers to the work or job title suggested to a user, and is selected based on the user's health, skills, and emotional state.

[1979] "Job suggestions" refers to a list of appropriate tasks and job titles provided to users based on the analysis results.

[1980] "Application" refers to the process you go through to apply for a selected position.

[1981] "Feedback" refers to information provided to the system by users about their experiences and opinions after completing a task.

[1982] The present invention is a system that makes it easy for elderly people to find jobs that suit their health, skills, and emotional state. This system is designed with a particular focus on supporting work in logistics centers. The following describes in detail the embodiments of the present invention.

[1983] System Configuration

[1984] The system of the present invention includes the following elements:

[1985] 1. User terminal: A device used by seniors to input personal information and emotional state, receive job suggestions, and apply for specific tasks. Smart glasses are examples of this.

[1986] 2. Server: A central processing unit that receives personal information and emotion data sent from the user terminal, stores them in a database, and analyzes them. It also generates job suggestions based on the analysis results and sends them to the user terminal.

[1987] 3. Database: A data repository that stores personal information, emotional data, and feedback information collected from users, and is accessed from the server.

[1988] 4. Emotion Engine: This system evaluates the user's emotional state in real time based on facial expressions, voice data, etc., and reflects the results in job suggestions. This is done using a camera and microphone.

[1989] System Operation

[1990] First, the user (elderly person) accesses the system through smart glasses and enters their personal information (name, age, gender, health condition, specialty, past work history, desired work style, etc.). This information is sent to the server via the terminal.

[1991] Next, the camera and microphone built into the smart glasses capture the user's facial expressions and voice in real time, and the emotion engine analyzes the data, evaluates the user's emotional state as a result, and sends the data to the server.

[1992] The server stores the received personal information and emotional data in a database and uses an analytical algorithm to identify the most suitable job for the user, taking into account the user's health, skills, desired working style, and real-time emotional state.

[1993] The job suggestions generated as a result of the analysis (e.g., "light work" or "inventory") are sent from the server to the smart glasses. The user visually checks them, selects the appropriate job, and applies for it. This application information is sent back to the server, and after processing, the user is notified of the results.

[1994] Examples of concrete examples and prompts

[1995] A 70-year-old user accesses the system using smart glasses and enters personal information such as age, past work history (bookstore clerk), health status (good), and desired work schedule (three days a week, four hours a day).

[1996] The smart glasses use a camera to capture facial expressions and a microphone to collect tone of voice, and emotion analysis detects positive emotional states.

[1997] When this information is sent to the server, the system analyzes it and suggests "light work" and "inventory." The user confirms this and selects "light work" to apply. The application information is processed on the server, and the user is notified of the interview schedule and other details.

[1998] Prompt Sentence Examples

[1999] "Ichiro Tanaka registered with the system, was in good health, and had previously worked as a bookstore clerk. Facial and voice analysis detected a positive emotional state. Based on this information, the system suggested "light work" and "inventory taking."

[2000] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2001] Step 1:

[2002] The user enters personal information (such as name, age, gender, health condition, areas of expertise, past work history, and desired working style) through the smart glasses and sends it to the terminal.

[2003] Input: Name, age, gender, health condition, areas of expertise, past work experience, desired work style, etc.

[2004] Output: Personal information is stored on the device and sent to a server.

[2005] Specific operation: The user inputs information using the GUI of the smart glasses and presses the send button. The device then sends the input data to the server.

[2006] Step 2:

[2007] The server receives the personal information sent from the terminal and stores it in a database.

[2008] Input: Personal information sent from your device.

[2009] Output: Personal information is saved in a database.

[2010] What happens: The server receives the HTTP request and executes an SQL query to insert personal information into a database.

[2011] Step 3:

[2012] The device (smart glasses) has a built-in camera and microphone that capture the user's facial expressions and voice, which are then recorded as emotional data.

[2013] Input: facial expression data (images) and audio data.

[2014] Output: Captured facial expression and speech data.

[2015] What it does: The smart glasses' camera periodically takes pictures of the user's face, and the microphone records audio.

[2016] Step 4:

[2017] The facial expression and voice data captured by the device is analyzed by an emotion engine to evaluate the emotional state.

[2018] Input: facial expression and speech data.

[2019] Output: Emotional state score.

[2020] What it does: The device runs an emotion analysis algorithm, analyzes facial and voice data, and calculates an emotion score.

[2021] Step 5:

[2022] The device transmits the evaluated emotional state score to the server.

[2023] Input: Emotional state score.

[2024] Output: The emotional state score is sent to the server.

[2025] Specific operation: The device sends a data packet containing the emotion score to the server via an HTTP request.

[2026] Step 6:

[2027] The server performs job analysis using the received emotional state score and personal information, and suggests the most suitable job.

[2028] Input: Personal information and emotional state score.

[2029] Output: A list of job suggestions.

[2030] What it does: The server retrieves personal information and sentiment scores from the database and runs a job suggestion algorithm to generate a list of optimal jobs.

[2031] Step 7:

[2032] The server transmits the generated job proposal list to the terminal and displays it to the user.

[2033] Input: Job proposal list.

[2034] Output: A list of job suggestions is displayed on the terminal.

[2035] Specific operation: The server sends a data packet containing a list of job suggestions to the terminal as an HTTP response, and the terminal displays it to the user.

[2036] Step 8:

[2037] The user selects the desired job from the proposed jobs and sends the application information from the terminal to the server.

[2038] Enter: Application information for the selected position.

[2039] Output: The job application information is sent to the server.

[2040] Specific operation: When the user selects a job position in the GUI of the smart glasses and presses the application button, the device sends the application information to the server.

[2041] Step 9:

[2042] The server processes the received job application information, generates a result, and notifies the user.

[2043] Input: Job application information.

[2044] Output: Application results.

[2045] Specific operation: The server cooperates with the job provider, processes the application information, generates the results, and sends them to the terminal to notify the user.

[2046] Examples of concrete examples and prompts

[2047] A 70-year-old user accesses the system using smart glasses and enters personal information such as "age," "past work history (bookstore clerk)," "health condition (good)," and "desired work style (3 days a week, 4 hours a day)." The smart glasses use a camera to capture "facial expressions" and a microphone to collect "tone of voice." As a result of emotion analysis, a "positive emotional state" is detected, and this information is sent to the server. The system suggests "light work" and "inventory taking," and the user selects "light work" and submits a request, after which the server notifies the user of the result.

[2048] Prompt Sentence Examples

[2049] "Ichiro Tanaka registered with the system, was in good health, and had previously worked as a bookstore clerk. Facial and voice analysis detected a positive emotional state. Based on this information, the system suggested "light work" and "inventory taking."

[2050] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[2051] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[2052] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2053] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[2054] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[2055] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[2056] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[2057] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[2058] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[2059] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[2060] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[2061] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[2062] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[2063] 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.

[2064] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[2065] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[2066] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured wit...

Claims

1. A means for receiving personal information input by a user into the terminal; a means for storing the received personal information in a database; A means of analyzing stored personal information and matching users with suitable jobs; A means for generating matched job information and transmitting it to a user's terminal; means for receiving and processing application information for a position selected by the user; A system that includes a means for notifying users of application results.

2. 10. The system of claim 1, further comprising means for receiving and storing in a database user feedback information regarding the matched job information.

3. The system according to claim 1 , further comprising means for analyzing the relevance of information about the user's health condition to job content.

Images