System

Abstract

A system is provided.SOLUTION: A system comprising: means for converting a point provided as a reward for a volunteer activity; means for evaluating a result of the volunteer activity by using generated AI; means for giving a reward point for the volunteer activity to an account of a user; and means for notifying the user of acquisition of the reward point.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] Social issues such as an aging population and widening disparities are becoming more serious, but volunteer activities play an important role in addressing these issues, but currently there is a lack of systems for rewarding or properly evaluating volunteer work. As a result, many volunteers are not sufficiently motivated and their willingness to participate tends to decline. To solve this problem and revitalize volunteer activities, it is necessary to provide appropriate rewards and evaluation methods and improve volunteer motivation. [Means for solving the problem]

[0005] To solve this problem, the present invention provides the following means. We propose a system that includes a means for converting points into rewards for volunteer activities, a means for evaluating the results of volunteer activities using a generation AI, a means for adding reward points for volunteer activities to a user's account, and a means for notifying the user that reward points have been earned. The system also includes a means for receiving information provided by local governments and volunteer organizations, setting evaluation criteria, recording details of volunteer activities, and sending evaluation results to the generation AI. This system provides an interface that allows users to check their volunteer activity reward point balance, as well as the honor and status they have earned, thereby increasing volunteer motivation and promoting more active volunteer activities.

[0006] "Volunteer activities" are activities undertaken for the purpose of contributing to society, with no or little compensation.

[0007] "Reward points" are points that can be exchanged for cash and are awarded based on the results of volunteer activities.

[0008] "Generative AI" refers to artificial intelligence technology that automatically analyzes and evaluates the results of volunteer activities.

[0009] "Evaluation criteria" refers to the detailed conditions and indicators used by the AI ​​generator to score the outcomes of volunteer activities.

[0010] "User" means an individual who participates in volunteer activities and receives reward points.

[0011] The "server" refers to a computer system that collects, analyzes, and stores information about volunteer activities and manages reward points.

[0012] A "terminal" refers to a device used by a user, such as a smartphone, tablet, or PC.

[0013] "Interface" refers to the screen or operating means through which a user can check their reward point balance and acquisition information. [Brief explanation of the drawings]

[0014] [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 showing 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

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] The present invention provides a system for efficiently managing rewards and evaluations for volunteer activities. This system includes a means for converting points into rewards for volunteer activities and evaluating the points using a point generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user.

[0036] System Configuration

[0037] This system consists of three main components: a server, a terminal, and a user.

[0038] 1. Server

[0039] The server has the following features:

[0040] Create an account for each volunteer organization, local government, and system provider and register authentication information.

[0041] Set up a generative AI model and register the evaluation criteria for volunteer activities in a database.

[0042] The activity results received from users are analyzed and scored using generative AI.

[0043] Based on the score, reward points are calculated and added to the user's account.

[0044] Send the user reward point details and reward point acquisition notifications.

[0045] 2. Terminal

[0046] The terminals are used by volunteer groups, local government officials, and users. Their main functions are as follows:

[0047] Volunteer groups and local government officials log in and set up the system using a dedicated application.

[0048] Enter details of your volunteer activity (reward points, activity details, etc.) and send them to the server.

[0049] Users register on a dedicated application and apply to participate in volunteer activities.

[0050] Users use their devices to send activity results (reports, photos, videos) to the server.

[0051] Users can check their points balance, earned honor, and status using the application on their device.

[0052] 3. Users

[0053] Using this system, users can:

[0054] Register for the application and enter your profile information.

[0055] Choose a volunteer activity you would like to participate in and participate in it.

[0056] After completing the activity, the activity results are entered into the application and sent to the server.

[0057] See the reward points you've earned and get notified.

[0058] Specific examples

[0059] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[0060] Users (volunteers):

[0061] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[0062] 2. Participate in activities and perform nursing care assistance duties.

[0063] 3. After completing the activity, use the application to create a report and upload photos.

[0064] server:

[0065] 1. The server receives the report and photos sent by the user.

[0066] 2. A generative AI model analyzes the report and photos and assigns a score.

[0067] 3. Calculate 100 points based on the score and add them to the user's account.

[0068] 4. Send a notification to the user that they have earned points.

[0069] Device:

[0070] 1. The user opens the application and sees that they have earned 100 points.

[0071] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation and contributes to the revitalization of volunteer activities.

[0072] The processing flow will be explained below.

[0073] Step 1:

[0074] server:

[0075] Create accounts for local governments and volunteer organizations and register their respective authentication information.

[0076] Step 2:

[0077] Device:

[0078] A volunteer organization representative logs into a dedicated application, enters details of the volunteer activity (e.g., activity date and time, number of people recruited, reward points, etc.), and sends them to the server.

[0079] Step 3:

[0080] server:

[0081] The server stores the received volunteer activity details in a database and displays them in the application in a user-viewable format.

[0082] Step 4:

[0083] User:

[0084] A user registers with the application and enters profile information (e.g., name, contact information, areas of interest, etc.).

[0085] Step 5:

[0086] server:

[0087] The server receives the user's profile information and stores it in a database. The server provides the user with a list of volunteer activities.

[0088] Step 6:

[0089] User:

[0090] Users select the volunteer activity they would like to participate in on the application and submit their application.

[0091] Step 7:

[0092] server:

[0093] The server receives the user's participation request, notifies the volunteer organization, and records the user's participation status in their account.

[0094] Step 8:

[0095] Device:

[0096] Volunteer groups will divide up roles and prepare necessary items before the scheduled date of the activity, and will be ready to carry out the activity.

[0097] Step 9:

[0098] User:

[0099] Users participate in volunteer activities at the designated date and time, and after completing the activities, they record photos and videos on their devices to create a report.

[0100] Step 10:

[0101] User:

[0102] After completing an activity, users use the application to create a report and upload photos and videos as evidence, which is then sent to the server.

[0103] Step 11:

[0104] server:

[0105] The server receives the reports, photos and videos and stores them in a database.

[0106] Step 12:

[0107] server:

[0108] The received activity data is sent to the generation AI, which analyzes the activity data and assigns a score based on the evaluation criteria.

[0109] Step 13:

[0110] Generation AI:

[0111] The generating AI analyzes the volunteer activity reports, calculates a score, and sends the results back to the server.

[0112] Step 14:

[0113] server:

[0114] The server calculates reward points based on the score received from the generation AI and credits the points to the user's account.

[0115] Step 15:

[0116] server:

[0117] The server notifies the user of the result of point allocation.

[0118] Step 16:

[0119] User:

[0120] Users open the application to view the reward points, honor, and status they have earned.

[0121] This series of processing steps allows for efficient management of volunteer activities from participation to reward provision, thereby realizing a system that improves user motivation.

[0122] Example 1

[0123] 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."

[0124] In conventional volunteer activities, there was no system to properly evaluate the results of activities and provide rewards based on the results. This resulted in a decline in the motivation of people participating in volunteer activities, making it difficult to contribute to the revitalization of activities. In addition, there were few means to fairly and efficiently evaluate the results of activities, which could lead to a sense of unfairness in the distribution of rewards.

[0125] 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.

[0126] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generative AI, a means for adding reward points for volunteer activities to a user's account, a means for notifying the user of the acquisition of reward points, a means for receiving and analyzing the user's reports and media, a means for scoring based on evaluation criteria using a generative AI model, and a means for calculating reward points based on the scores. This makes it possible to fairly and efficiently evaluate the results of volunteer activities and appropriately award rewards based on the results.

[0127] "Points" are a numerical value provided as a reward for volunteer work.

[0128] "Generative AI" is a technology that uses artificial intelligence models to analyze data and make evaluations and predictions.

[0129] "Evaluation criteria" refers to specific items and indicators used to evaluate the results of volunteer activities.

[0130] A "score" is an evaluation point given by the generative AI model to the results of volunteer activities.

[0131] "Reward Points" are points calculated based on the score generated by the generative AI model and awarded to a user's account.

[0132] "Notifications" are messages that inform users about earning reward points or important information from the system.

[0133] "Media" refers to information such as photos and videos used to record and communicate the results of activities.

[0134] A "database" is a system for efficiently storing and managing various types of information and data.

[0135] "Interface" refers to the screens and operating means through which users interact with the system.

[0136] The present invention provides a system for efficiently managing rewards and evaluations for volunteer activities. This system includes a means for converting points into rewards for volunteer activities and evaluating the points using a point generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user.

[0137] System Configuration

[0138] This system consists of three main components: a server, a terminal, and a user.

[0139] 1. Server

[0140] The server first creates accounts for each volunteer group, local government, and system provider, and registers their authentication information.

[0141] The server sets up a generative AI model and registers the evaluation criteria for volunteer activities in a database.

[0142] The server analyzes the activity results received from the user and performs scoring using a generation AI.

[0143] The server calculates reward points based on the score and adds them to the user's account.

[0144] The server will send the user details of the reward points and a notification of the points earned.

[0145] Specific hardware includes a powerful processor, sufficient memory capacity, and a database management system, while software includes a generative AI model, a database management system, and a notification system.

[0146] 2. Terminal

[0147] The terminals are intended for use by volunteer groups, local government officials, and users, and are provided with dedicated applications.

[0148] The terminals provide a means for volunteer groups and local government officials to log in and configure their activities, enter details of their activities, and send them to a server.

[0149] The terminal provides a means for users to register with a dedicated application and apply to participate in an activity.

[0150] The terminal provides a means for the user to send activity results (reports, photos, videos) to the server.

[0151] The terminal provides an interface for users to check their points balance, earned honor, and status.

[0152] Specific hardware includes electronic devices such as smartphones, tablets, and computers, while software includes dedicated mobile and web applications.

[0153] 3. Users

[0154] A user registers with the application and enters profile information.

[0155] Users choose the volunteer activity they want to participate in and participate in it.

[0156] After completing an activity, the user inputs the activity results into the application and sends them to the server.

[0157] Users will see the points they have earned as rewards and receive notifications.

[0158] Specific examples

[0159] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[0160] Users (volunteers):

[0161] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[0162] 2. Participate in activities and perform nursing care assistance duties.

[0163] 3. After completing the activity, use the application to create a report and upload photos.

[0164] server:

[0165] 1. The server receives the report and photos sent by the user.

[0166] 2. A generative AI model analyzes the report and photos and assigns a score.

[0167] 3. Calculate 100 points based on the score and add them to the user's account.

[0168] 4. Send a notification to the user that they have earned points.

[0169] Device:

[0170] 1. The user opens the application and sees that they have earned 100 points.

[0171] Prompt Sentence Examples

[0172] Analyze volunteer reports and photos and score them using a generative AI model. Provide the following information:

[0173] Activity name: Elderly care assistance

[0174] Activities: General nursing care support work

[0175] Report: Describes that the nursing care assistance work has been completed and completed successfully

[0176] Photo: Photograph of nursing care assistance

[0177] Throughout the system, each component works in cooperation to ensure fair evaluation and notification of rewards to users, thereby stimulating volunteer activities and improving the motivation of participants.

[0178] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0179] Step 1:

[0180] The user launches a dedicated application and enters the required profile information into a new registration form. The entered information (name, email address, password, etc.) is sent to the server via the device. The server registers the received data in a database, generates authentication information, and returns it. The output is the initialized user account information.

[0181] Step 2:

[0182] The user enters authentication information on the login screen and logs into the system. The entered authentication information (user ID, password) is sent to the server via the terminal. The server verifies it against the information in the database, and if authentication is successful, displays the dashboard. The output is a message indicating whether the login was successful or failed.

[0183] Step 3:

[0184] The user selects an activity they wish to participate in (e.g., "assisting elderly care") from a list of volunteer activities provided within the application. The device retrieves detailed information about the selected activity from the server and displays it to the user. The output is detailed information about the selected activity.

[0185] Step 4:

[0186] The user applies for participation by pressing the "Apply for Participation" button on the details page of the selected activity. The application information (activity name, user ID, desired date and time, etc.) is sent to the server via the terminal. The server accepts the application and records it in the database. The output is a message indicating that the application has been completed.

[0187] Step 5:

[0188] After completing an activity, the user goes to the activity report section in the application and enters a report describing the activity. Along with the report, they also upload photos and videos of the activity. This data (report, photos, videos) is sent to the server via the device. The server stores the received data in a database. The output is a message confirming receipt and the stored data.

[0189] Step 6:

[0190] The server extracts the received reports and media files from the database and inputs them into the generative AI model. The input data is reports, photos, and videos. The generative AI model analyzes this data and generates a score to evaluate the quality of volunteer activities. The output is a score as a result of the analysis.

[0191] Step 7:

[0192] The server calculates the reward points to be awarded to the user based on the score obtained from the generative AI model. The input is the score from the generative AI model, and the calculated reward points are updated in the user's account information. The output is the updated user account information.

[0193] Step 8:

[0194] The server generates a message to notify the user of the reward points and sends it to the terminal application. The input is the reward points information and the output is the notification message. The user receives the notification and confirms that the points have been updated.

[0195] Step 9:

[0196] The user opens the application and checks the points earned in their account information section. The input is the user account information, and the output is the displayed points balance, honors, and status details.

[0197] (Application example 1)

[0198] 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."

[0199] Volunteer activities as part of social contribution activities and efficient work in factories are becoming increasingly important. However, there was no way to properly evaluate the results of these activities and work and provide fair rewards to the users and robots who participated. Furthermore, managing evaluations and rewards was complicated and prone to manual errors. Therefore, a system to solve these issues was needed.

[0200] 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.

[0201] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generation AI, a means for evaluating the efficiency and accuracy of a robot performing a specific task in a factory, a means for adding reward points for the volunteer activities and robot work to a user's account, and a means for notifying the user of the acquisition of reward points, thereby enabling efficient evaluation and reward management of volunteer activities and robot work in a factory.

[0202] "Volunteer activities" are activities undertaken without compensation for the purpose of contributing to society.

[0203] "Reward points" are points with convertible value that are awarded for volunteer activities or robotic work results.

[0204] "Generative AI" is a system that uses artificial intelligence technology to analyze and evaluate data.

[0205] "Means for evaluating results" refers to a method that uses generative AI to judge the results of activities or tasks and assign a score.

[0206] A "robot" is a machine that performs work under automatic control and is responsible for specific tasks within a factory.

[0207] "Efficiency" is a measure of achieving maximum results using a given amount of resources.

[0208] "Accuracy" is a measure of whether a task or activity is performed as expected.

[0209] "User" refers to the entity that uses the system, and is a concept that includes volunteer participants and factory managers.

[0210] An "account" is a set of data to which a user has rights to access the system.

[0211] "Notification means" refers to a method for conveying information to a user, and may use a message or an application.

[0212] "Evaluation criteria" are indicators used to set benchmarks when evaluating volunteer activities and robot work.

[0213] An "interface" is an operation screen or tool that allows a user to directly interact with a system.

[0214] This invention provides a system for efficiently managing the evaluation and reward of volunteer activities and factory robot work. This system is mainly composed of three elements: a server, a terminal, and a user.

[0215] server

[0216] The server has the following features:

[0217] Create accounts for each volunteer group, factory manager, and system provider and register authentication information.

[0218] A generative AI model is set up and evaluation criteria for volunteer activities and robot work are registered in a database.

[0219] The activity results received from volunteers and robots are analyzed and scored using generative AI.

[0220] Based on the score, reward points are calculated and added to the user's account.

[0221] Send the user reward point details and reward point acquisition notifications.

[0222] Terminal

[0223] The terminals are intended for use by volunteer groups, factory managers, volunteers, and robots. Their main functions are:

[0224] Volunteer groups and factory managers log in and set up the system using a dedicated application.

[0225] Enter details of volunteer activities and factory work (reward points, activity details, etc.) and send them to the server.

[0226] Volunteers and factory robots register with a dedicated application and report their activities and work results.

[0227] Volunteers and factory managers can check their points balance, earned honor, and status using the terminal application.

[0228] User

[0229] Using this system, users can:

[0230] Register for the application and enter your profile information.

[0231] Choose the volunteer activities or factory work you would like to participate in and take part in the activities or work.

[0232] After completing an activity or task, the results are entered into the application and sent to the server.

[0233] See the reward points you've earned and get notified.

[0234] Specific examples

[0235] As a concrete example, let us look at a work evaluation system for a factory robot. Let's say a robot assembling electronic components in a factory completes its work with a certain level of accuracy and speed. In this case, a generative AI is used to create the following prompt sentence and evaluate it:

[0236] "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Errors: 1"

[0237] This data is sent to a generative AI model, which evaluates the robot's performance and calculates reward points based on the score. The calculated points are added to the robot's account and reported to managers through notification methods. This system enables efficient evaluation and reward management of volunteer activities and robot work in factories.

[0238] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0239] Step 1:

[0240] The terminal receives activity and work results from users or factory robots. Specifically, volunteer activity reports and factory work data (e.g., "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Number of errors: 1") are input. This allows initial data to be collected.

[0241] Step 2:

[0242] The terminal sends the received activity results and work results to the server. At this time, the data format is checked and, if necessary, appropriate data processing (e.g., data format conversion, removal of invalid data) is performed so that the server can accurately analyze it. The output is the processed data.

[0243] Step 3:

[0244] The server receives the data sent from the device. It analyzes the received data and generates a prompt to input into the generative AI model. For example, it converts the prompt into a format such as "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Number of errors: 1." This prepares the data to be evaluated.

[0245] Step 4:

[0246] The server uses a generative AI model to evaluate prompt sentences. The prompt sentence is input into the generative AI model, and an evaluation score is output. Data calculation involves evaluating and scoring the results of activities and tasks based on the input data. The output is an evaluation score.

[0247] Step 5:

[0248] The server calculates reward points based on the evaluation score, and calculates the specific number of points using a reward point conversion table according to the score, thereby obtaining the points as numerical data.

[0249] Step 6:

[0250] The server adds the calculated reward points to the user's account, merges the points data with the user's account information, and updates the account's points balance. The output is the updated account data.

[0251] Step 7:

[0252] The server notifies the user of the reward points earned. Specific notification methods include in-app messages, emails, push notifications, etc. The notification includes detailed information about the earned points. The output is the notification message sent to the user.

[0253] Step 8:

[0254] The user uses the terminal to check their point balance, earned honor, and status. The point information is displayed through the application interface, allowing the user to check the reward details. The output is the updated information on the user's display screen.

[0255] As a result, this system can efficiently evaluate and manage rewards for volunteer activities and robotic work in factories.

[0256] 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.

[0257] This invention provides a system that efficiently manages rewards and evaluations for volunteer activities and combines it with an emotion engine that recognizes and analyzes user emotions. This system includes a means for converting reward points for volunteer activities and evaluating those points using a generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user. Furthermore, by combining it with an emotion engine that recognizes and analyzes user emotions, the quality of volunteer activities and the user experience are improved.

[0258] System Configuration

[0259] The system consists of four main components: a server, a terminal, a user, and an emotion engine.

[0260] 1. Server

[0261] The server has the following features:

[0262] Create an account for each volunteer organization, local government, and system provider and register authentication information.

[0263] Set up a generative AI model and register the evaluation criteria for volunteer activities in a database.

[0264] The activity results received from users are analyzed and scored using generative AI.

[0265] Based on the score, reward points are calculated and added to the user's account.

[0266] Send the user reward point details and reward point acquisition notifications.

[0267] The emotional data received from the emotion engine is stored in a database, and the reward points are adjusted taking into account the analysis results.

[0268] 2. Terminal

[0269] The terminals are used by volunteer groups, local government officials, and users. Their main functions are as follows:

[0270] Volunteer groups and local government officials log in and set up the system using a dedicated application.

[0271] Enter details of your volunteer activity (reward points, activity details, etc.) and send them to the server.

[0272] Users register on a dedicated application and apply to participate in volunteer activities.

[0273] Users use their devices to send activity results (reports, photos, videos) to the server.

[0274] Users can check their point balance, earned honor, and status using the application on their device.

[0275] Collect user emotion data and send it to the server.

[0276] 3. Users

[0277] Using this system, users can:

[0278] Register for the application and enter your profile information (name, contact information, areas of interest, etc.).

[0279] Choose a volunteer activity you would like to participate in and participate in it.

[0280] After completing the activity, the activity results are entered into the application and sent to the server.

[0281] See the reward points you've earned and get notified.

[0282] Emotional data is collected through the device and sent to the server.

[0283] 4. Emotion Engine

[0284] The emotion engine has the following functions:

[0285] Users' emotional data is collected periodically and emotional changes during and after volunteer activities are analyzed.

[0286] Adjust reward points and provide appropriate feedback based on sentiment data.

[0287] Specific examples

[0288] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[0289] Users (volunteers):

[0290] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[0291] 2. Participate in activities and perform nursing care assistance duties.

[0292] 3. After the activity is completed, the user records the emotional data using the device, creates a report, uploads the photos, and then sends the report to the server.

[0293] server:

[0294] 1. The server receives the reports, photos, and emotion data sent by the user and stores them in a database.

[0295] 2. A generative AI model analyzes the report and photos and assigns a score.

[0296] 3. The emotion engine analyzes the emotion data and influences the score.

[0297] 4. Calculate reward points based on the score and add them to the user's account.

[0298] 5. Send a notification to the user that they have earned points.

[0299] Device:

[0300] 1. The user opens the application and sees feedback based on the reward points earned, prestige, status, and emotional data.

[0301] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation, contributes to the revitalization of volunteer activities, and provides more advanced evaluation and feedback that takes into account changes in the user's emotions.

[0302] The processing flow will be explained below.

[0303] Step 1:

[0304] server:

[0305] Create accounts for local governments and volunteer organizations and register their respective authentication information.

[0306] Step 2:

[0307] Device:

[0308] A volunteer organization representative logs into a dedicated application, enters details of the volunteer activity (e.g., activity date and time, number of people recruited, reward points, etc.), and sends them to the server.

[0309] Step 3:

[0310] server:

[0311] The server stores the received volunteer activity details in a database and displays them in the application in a user-viewable format.

[0312] Step 4:

[0313] User:

[0314] A user registers with the application and enters profile information (e.g., name, contact information, areas of interest, etc.).

[0315] Step 5:

[0316] server:

[0317] The server receives the user's profile information and stores it in a database. The server provides the user with a list of volunteer activities.

[0318] Step 6:

[0319] User:

[0320] Users select the volunteer activity they would like to participate in on the application and submit their application.

[0321] Step 7:

[0322] server:

[0323] The server receives the user's participation request, notifies the volunteer organization, and records the user's participation status in their account.

[0324] Step 8:

[0325] Device:

[0326] Volunteer groups will divide up roles and prepare necessary items before the scheduled date of the activity, and will be ready to carry out the activity.

[0327] Step 9:

[0328] User:

[0329] Users participate in volunteer activities at designated times and record emotional data on their devices during and after the activities.

[0330] Step 10:

[0331] Device:

[0332] The device periodically collects the user's emotional data and transmits it to the server.

[0333] Step 11:

[0334] User:

[0335] After completing the activity, the user uses the device to write a report and upload photos and videos as evidence, which are then sent to the server.

[0336] Step 12:

[0337] server:

[0338] The server receives the reports, photos, and videos and stores them in a database, along with the emotional data.

[0339] Step 13:

[0340] server:

[0341] The received activity data and emotion data are sent to the generation AI, which analyzes the activity data and emotion data and assigns a score based on the evaluation criteria.

[0342] Step 14:

[0343] Generation AI:

[0344] The generating AI analyzes the volunteer activity report and emotional data, calculates a score, and sends the results back to the server.

[0345] Step 15:

[0346] server:

[0347] Based on the score received from the generation AI, the server adjusts the reward points taking into account the analysis results of the emotion engine and awards the points to the user's account.

[0348] Step 16:

[0349] server:

[0350] The server notifies the user of the result of point allocation.

[0351] Step 17:

[0352] User:

[0353] Users open the app to see the reward points they have earned and the points they have adjusted based on their feedback and sentiment data.

[0354] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation, contributes to the revitalization of volunteer activities, and provides advanced evaluation and feedback that takes into account changes in the user's emotions.

[0355] Example 2

[0356] 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."

[0357] In conventional volunteer activities, the evaluation of results and the awarding of rewards are complicated, making it difficult to evaluate based on unified standards. In addition, there is a lack of feedback and sentiment analysis methods to maximize volunteer motivation. This has made it difficult to sufficiently improve the quality of volunteer activities and participant satisfaction.

[0358] 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.

[0359] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generation AI, a means for adding reward points for volunteer activities to a user's account, a means for notifying the user of the acquisition of reward points, a means for analyzing the user's emotional data using an emotion engine and adjusting the reward points, and a means for collecting the user's emotional data and transmitting it to the server. This makes it possible to provide evaluations and feedback that take the user's emotions into consideration, thereby improving the quality of volunteer activities and the satisfaction of participants.

[0360] "Volunteer activities" refers to a variety of activities carried out without compensation for the public good.

[0361] "Reward points" refers to convertible points awarded to users based on the results of their volunteer activities.

[0362] "Generative AI" refers to an artificial intelligence model that uses natural language processing and other techniques to analyze and evaluate data.

[0363] "User" refers to an individual or organization who uses this system to participate in volunteer activities and earn reward points.

[0364] "Emotion data" refers to data that indicates the user's emotional state during and after an activity.

[0365] An "emotion engine" refers to a software engine that analyzes users' emotional data and reflects the results in evaluations and reward points.

[0366] "Server" refers to a computer system for storing, analyzing, and processing data.

[0367] "Account" refers to registration data that manages user information for accessing the system.

[0368] "Database" refers to an information storage system for systematically storing and managing information used within a system.

[0369] "Interface" refers to the operation screen and input device used by the user when using the system.

[0370] "Evaluation criteria" refers to the indicators and rules that serve as the basis for evaluating the results of volunteer activities.

[0371] "Notification" refers to the act of transmitting information such as reward points and evaluation results from the system to the user.

[0372] The present invention provides a system that efficiently manages rewards and evaluations for volunteer activities and combines it with an emotion engine that recognizes and analyzes user emotions. This system includes a means for converting reward points for volunteer activities and evaluating those points using a generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user. Furthermore, by combining it with an emotion engine that recognizes and analyzes user emotions, the quality of volunteer activities and the user experience can be improved.

[0373] System Configuration

[0374] The system consists of four main components: a server, a terminal, a user, and an emotion engine.

[0375] server

[0376] The server has the following features:

[0377] Account creation and authentication: Create accounts for each volunteer organization, local government, and system provider, and manage authentication information. For example, secure account management using cloud services.

[0378] Setting up a generative AI model: Using a natural language processing model (e.g., GPT-4), register the evaluation criteria for volunteer activities in a database.

[0379] Data analysis and scoring: The activity results sent by the user are analyzed and scored by the generation AI. For example, reports and photos are analyzed and evaluated by the generation AI.

[0380] Reward points calculation and notification: Calculate reward points based on the score given and add them to the user's account. Notify the user of the details.

[0381] Emotion data analysis: The emotional data received from the emotion engine is stored in a database, and the analysis results are reflected in the score.

[0382] Terminal

[0383] The devices are intended for use by volunteer groups, local government officials, and users, and have the following functions via a dedicated application:

[0384] Login and settings: Volunteer groups and local government officials log in to the device using a dedicated application and set up their activities.

[0385] Enter activity details: Enter details of the volunteer activity (reward points, activity content, etc.) and send them to the server.

[0386] Participation application and result transmission: Users apply to participate through the application, and after completing the activity, they send reports, photos, and emotional data to the server.

[0387] Information confirmation: The user checks his / her reward points, honor, and status in the terminal application.

[0388] User

[0389] The user does the following:

[0390] Registering profile information: When creating an account, you enter your name, contact information, areas of interest, etc. and send this information to the server.

[0391] Selecting and participating in activities: Select and participate in volunteer activities that interest you.

[0392] Sending activity results and emotional data: After the activity is completed, a report is created, photos are uploaded, and emotional data is recorded and sent to the server.

[0393] Check reward points: Check the reward points and feedback you have earned in the application.

[0394] Emotion Engine

[0395] The emotion engine has the following features:

[0396] Emotional data collection and analysis: Emotional data from users is collected periodically and changes during and after volunteer activities are analyzed.

[0397] Data reflection and feedback: The analysis results are reflected in the evaluation of volunteer activities and appropriate feedback is provided to users.

[0398] Specific examples

[0399] Below is the process of participating in elderly care assistance activities.

[0400] Users (volunteers):

[0401] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[0402] Example prompt: "I would like to participate in elderly care assistance activities."

[0403] 2. Carry out nursing care assistance activities.

[0404] 3. After the activity is completed, emotional data is recorded, a report is created, photos are uploaded, and the data is sent to the server.

[0405] Example prompt: "I have completed the caregiving assistance activity. I will upload my emotional data and photos."

[0406] server:

[0407] 1. The server receives reports, photos, and emotion data and stores them in a database.

[0408] 2. A generative AI model analyzes the report and photos and assigns a score.

[0409] 3. The emotion engine analyzes the emotion data and influences the score.

[0410] 4. Calculate reward points based on the score and add them to the user's account.

[0411] 5. Send a notification to the user that they have earned points.

[0412] Device:

[0413] 1. User opens the application and checks reward points and feedback.

[0414] Example prompt: "Check your reward points."

[0415] As described above, the present invention can efficiently evaluate and manage the results of volunteer activities and improve user satisfaction.

[0416] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0417] Step 1:

[0418] User Registration / Login

[0419] Input: A user enters profile information such as name, contact details, and interests into a form and submits it.

[0420] Output: Account information of the user registered on the server.

[0421] Specific operation: The user installs the dedicated application and enters the required information into the new registration form. After completing the entry, the user presses the submit button and the information is sent to the server. The server stores the received information in a database and creates a new user account.

[0422] Step 2:

[0423] Choosing a volunteer activity and applying to participate

[0424] Input: The user selects an activity of interest from the list of activities in the application and applies to participate.

[0425] Output: User participation application information saved on the server.

[0426] Specific operation: The user logs in to the application and selects an activity such as "elderly care assistance" from the list of activities. On the activity details screen, the user checks the location, date, and content, and clicks the "Apply to participate" button, which sends the details to the server. The server then saves the application information in a database.

[0427] Step 3:

[0428] Volunteer activities and emotional data collection

[0429] Input: A user participates in volunteer activities with a device. During the activity, the device collects emotional data (facial expressions, voice tone, etc.).

[0430] Output: Emotion data sent to the server.

[0431] Specific operation: The user volunteers at a designated date, time, and location. The device uses the built-in camera and microphone to analyze the user's facial expressions and tone of voice to collect emotional data in real time.

[0432] Step 4:

[0433] Activity results reporting and data transmission

[0434] Input: After completing an activity, the user creates a report, uploads photos and videos, and sends emotional data to the server.

[0435] Output: Activity reports, photos, videos, and emotion data received and stored on the server.

[0436] Specific operation: The user uses a dedicated form in the application to enter activity reports and upload photos and videos showing their activities. This information, along with the collected emotional data, is sent to the server. The server stores the received information in a database and prepares it for analysis.

[0437] Step 5:

[0438] Data analysis and evaluation using generative AI

[0439] Input: Activity reports, photos, videos, and emotion data received by the server.

[0440] Output: Score and evaluation results after being analyzed by the generative AI model.

[0441] How it works: The server passes the received reports, photos, and videos to a generative AI model (e.g., GPT-4). The generative AI model analyzes the data and assigns a score based on quality and completeness. At the same time, the emotion engine analyzes the emotion data and reflects the results in the score. The server stores the final evaluation results.

[0442] Step 6:

[0443] Reward point calculation and user notification

[0444] Input: Final evaluation results from generative AI and emotion engine.

[0445] Output: Reward points added to user's account, notification message.

[0446] Specific operation: The server calculates reward points based on the evaluation results and adds the points to the user's account. It also sends a push notification to the user with detailed reward point information and a notification that the points have been earned. The user can receive the notification on their device.

[0447] Step 7:

[0448] Check user feedback

[0449] Input: Reward points and evaluation results sent to the user from the server.

[0450] Output: An interface display to check feedback and reward points.

[0451] How it works: Users open the app and see feedback in the "Rewards" section based on their earned points, honor, status, and emotional data. Based on this feedback, users can be more motivated to volunteer next time.

[0452] (Application example 2)

[0453] 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."

[0454] Conventional volunteer activity evaluation systems have difficulty quantitatively evaluating the results of volunteer activities, resulting in inappropriate rewards and evaluations. Furthermore, because evaluations do not take into account the emotions and motivation of users during the activities, there are limitations to improving volunteer motivation. This creates challenges that hinder the quality of volunteer activities and inhibit continued participation.

[0455] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for converting points provided as a reward for volunteer activity, means for evaluating the results of the volunteer activity using a generation AI, means for granting reward points for volunteer activity to a user's account, means for notifying the user of the acquisition of reward points, means for recording and analyzing user emotion data, and means for adjusting reward points based on the emotion data. This makes it possible to appropriately evaluate the results of the volunteer activity and the user's emotions and grant reward points.

[0456] "Points" are a virtual currency or unit of value offered as a reward for volunteer work.

[0457] "Generative AI" is a model that uses artificial intelligence techniques to generate valuable information and insights from data.

[0458] "Emotion data" is information about the user's emotions and psychological state extracted from their facial expressions, voice, actions, etc.

[0459] A "server" is a computer system that processes, stores, and manages data.

[0460] "User" refers to any individual or organization that uses this system.

[0461] An "account" is a collection of information registered by a user in order to use the system.

[0462] "Reward points" are points that users receive for volunteer activities, and are awarded based on results and emotional data.

[0463] "Feedback" refers to advice and evaluation information provided by the system to the user, with the aim of improving the user's behavior and motivation.

[0464] "Evaluation criteria" are standards for evaluating the results and quality of volunteer activities, and are set by the generating AI.

[0465] "Motivation" refers to the motivation or drive that keeps a user participating in volunteer activities.

[0466] System Overview

[0467] A system for implementing the present invention comprises the following major components:

[0468] 1. Server

[0469] 2. Terminal

[0470] 3. Users

[0471] 4. Emotion Engine

[0472] Server Features

[0473] The server performs the following functions:

[0474] Convert reward points for volunteer work.

[0475] Using generative AI to evaluate the results of volunteer activities.

[0476] Volunteer reward points are added to the user's account.

[0477] Notify the user when reward points are earned.

[0478] Record and analyze user emotion data.

[0479] Adjust reward points based on sentiment data.

[0480] Specifically, the server is developed using the Flask framework. The generative AI model module is used to analyze task completion status and emotion data and make evaluations. The emotion engine module analyzes user emotion data and adjusts reward points based on the results.

[0481] Device Features

[0482] A terminal is a device that is directly used by a user, such as a smartphone or tablet. A terminal has the following functions:

[0483] It provides an interface for users to input activity details and emotion data.

[0484] A camera is used to capture the user's facial expressions and generate emotion data.

[0485] Displays the results analyzed by generative AI and emotion engine.

[0486] For example, workers can use their smartphones to input their emotional data and work details after completing a task. The smartphone app then transmits this data to a server, providing an interface for receiving reward points and feedback.

[0487] User operations

[0488] The user operates the system as follows:

[0489] 1. Log in to the smartphone app and enter your volunteer activity details.

[0490] 2. Use a camera to capture emotional data.

[0491] 3. The entered activity details and emotion data are sent to the server.

[0492] 4. Check your reward points and feedback.

[0493] For example, a factory worker can log in to the app after finishing work, type "Today's work is finished. I feel very fulfilled," and take a photo of their facial expression with their smartphone camera. The server analyzes this data and notifies the worker of reward points and feedback.

[0494] The role of the emotional engine

[0495] The emotion engine analyzes the user's emotions based on the image data received from the device, and the analysis results are sent to the generation AI and used to adjust the additional reward points.

[0496] Specific examples

[0497] Examples of specific prompts include:

[0498] Good job! Please enter the details of today's task. Then, use the camera to capture your facial expression. Based on the entered task status and facial expression data, we will calculate a score and award you points. We will also provide feedback, so please check it.

[0499] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0500] Step 1:

[0501] Users log in to the smartphone app and enter details of their volunteer activities. Specifically, users enter the details of the day's tasks and their self-evaluation in text format into the app, and the input data is sent to the server. The input data includes the task name, the details performed, the time required, and their self-evaluation.

[0502] Step 2:

[0503] Users capture their facial expressions using their smartphone camera, and the app sends this image data to an emotion engine that generates the user's emotional data. This process uses a facial expression analysis algorithm to extract emotions such as smile, sadness, and surprise.

[0504] Step 3:

[0505] The device sends the entered activity details and captured emotion data to the server, which receives and stores these data in a database, at which point the server checks the consistency and completeness of the received data.

[0506] Step 4:

[0507] The server analyzes the received activity details and emotion data using a generative AI model. The generative AI model evaluates the activity details and calculates an appropriate score. It also adjusts the score based on the emotion data received from the emotion engine. The analysis results are stored on the server.

[0508] Step 5:

[0509] The server calculates reward points based on the analysis results and adds them to the user's account. The points are calculated based on the score calculated by the generative AI model and emotion data. The calculated points are stored in a database and added to the user's account.

[0510] Step 6:

[0511] The server notifies the user of the reward point acquisition status and feedback. Specifically, it sends a push notification to the smartphone app so that the user can check the number of points and feedback within the app. The notification content includes the number of points acquired and feedback from the generation AI and emotion engine.

[0512] Step 7:

[0513] Users can open the smartphone app to check the reward points they have earned and the feedback they have received. Users can check their point balance and receive feedback based on their emotional data, which can be reflected in their next and subsequent activities. This feedback helps to increase the user's motivation and improve the quality of their activities.

[0514] 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.

[0515] 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.

[0516] 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.

[0517] [Second embodiment]

[0518] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0519] 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.

[0520] 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).

[0521] 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.

[0522] 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.

[0523] 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).

[0524] 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.

[0525] 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.

[0526] 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.

[0527] 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.

[0528] 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.

[0529] 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."

[0530] The present invention provides a system for efficiently managing rewards and evaluations for volunteer activities. This system includes a means for converting points into rewards for volunteer activities and evaluating the points using a point generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user.

[0531] System Configuration

[0532] This system consists of three main components: a server, a terminal, and a user.

[0533] 1. Server

[0534] The server has the following features:

[0535] Create an account for each volunteer organization, local government, and system provider and register authentication information.

[0536] Set up a generative AI model and register the evaluation criteria for volunteer activities in a database.

[0537] The activity results received from users are analyzed and scored using generative AI.

[0538] Based on the score, reward points are calculated and added to the user's account.

[0539] Send the user reward point details and reward point acquisition notifications.

[0540] 2. Terminal

[0541] The terminals are used by volunteer groups, local government officials, and users. Their main functions are as follows:

[0542] Volunteer groups and local government officials log in and set up the system using a dedicated application.

[0543] Enter details of your volunteer activity (reward points, activity details, etc.) and send them to the server.

[0544] Users register on a dedicated application and apply to participate in volunteer activities.

[0545] Users use their devices to send activity results (reports, photos, videos) to the server.

[0546] Users can check their points balance, earned honor, and status using the application on their device.

[0547] 3. Users

[0548] Using this system, users can:

[0549] Register for the application and enter your profile information.

[0550] Choose a volunteer activity you would like to participate in and participate in it.

[0551] After completing the activity, the activity results are entered into the application and sent to the server.

[0552] See the reward points you've earned and get notified.

[0553] Specific examples

[0554] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[0555] Users (volunteers):

[0556] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[0557] 2. Participate in activities and perform nursing care assistance duties.

[0558] 3. After completing the activity, use the application to create a report and upload photos.

[0559] server:

[0560] 1. The server receives the report and photos sent by the user.

[0561] 2. A generative AI model analyzes the report and photos and assigns a score.

[0562] 3. Calculate 100 points based on the score and add them to the user's account.

[0563] 4. Send a notification to the user that they have earned points.

[0564] Device:

[0565] 1. The user opens the application and sees that they have earned 100 points.

[0566] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation and contributes to the revitalization of volunteer activities.

[0567] The processing flow will be explained below.

[0568] Step 1:

[0569] server:

[0570] Create accounts for local governments and volunteer organizations and register their respective authentication information.

[0571] Step 2:

[0572] Device:

[0573] A volunteer organization representative logs into a dedicated application, enters details of the volunteer activity (e.g., activity date and time, number of people recruited, reward points, etc.), and sends them to the server.

[0574] Step 3:

[0575] server:

[0576] The server stores the received volunteer activity details in a database and displays them in the application in a user-viewable format.

[0577] Step 4:

[0578] User:

[0579] A user registers with the application and enters profile information (e.g., name, contact information, areas of interest, etc.).

[0580] Step 5:

[0581] server:

[0582] The server receives the user's profile information and stores it in a database. The server provides the user with a list of volunteer activities.

[0583] Step 6:

[0584] User:

[0585] Users select the volunteer activity they would like to participate in on the application and submit their application.

[0586] Step 7:

[0587] server:

[0588] The server receives the user's participation request, notifies the volunteer organization, and records the user's participation status in their account.

[0589] Step 8:

[0590] Device:

[0591] Volunteer groups will divide up roles and prepare necessary items before the scheduled date of the activity, and will be ready to carry out the activity.

[0592] Step 9:

[0593] User:

[0594] Users participate in volunteer activities at the designated date and time, and after completing the activities, they record photos and videos on their devices to create a report.

[0595] Step 10:

[0596] User:

[0597] After completing an activity, users use the application to create a report and upload photos and videos as evidence, which is then sent to the server.

[0598] Step 11:

[0599] server:

[0600] The server receives the reports, photos and videos and stores them in a database.

[0601] Step 12:

[0602] server:

[0603] The received activity data is sent to the generation AI, which analyzes the activity data and assigns a score based on the evaluation criteria.

[0604] Step 13:

[0605] Generation AI:

[0606] The generating AI analyzes the volunteer activity reports, calculates a score, and sends the results back to the server.

[0607] Step 14:

[0608] server:

[0609] The server calculates reward points based on the score received from the generation AI and credits the points to the user's account.

[0610] Step 15:

[0611] server:

[0612] The server notifies the user of the result of point allocation.

[0613] Step 16:

[0614] User:

[0615] Users open the application to view the reward points, honor, and status they have earned.

[0616] This series of processing steps allows for efficient management of volunteer activities from participation to reward provision, thereby realizing a system that improves user motivation.

[0617] Example 1

[0618] 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."

[0619] In conventional volunteer activities, there was no system to properly evaluate the results of activities and provide rewards based on the results. This resulted in a decline in the motivation of people participating in volunteer activities, making it difficult to contribute to the revitalization of activities. In addition, there were few means to fairly and efficiently evaluate the results of activities, which could lead to a sense of unfairness in the distribution of rewards.

[0620] 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.

[0621] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generative AI, a means for adding reward points for volunteer activities to a user's account, a means for notifying the user of the acquisition of reward points, a means for receiving and analyzing the user's reports and media, a means for scoring based on evaluation criteria using a generative AI model, and a means for calculating reward points based on the scores. This makes it possible to fairly and efficiently evaluate the results of volunteer activities and appropriately award rewards based on the results.

[0622] "Points" are a numerical value provided as a reward for volunteer work.

[0623] "Generative AI" is a technology that uses artificial intelligence models to analyze data and make evaluations and predictions.

[0624] "Evaluation criteria" refers to specific items and indicators used to evaluate the results of volunteer activities.

[0625] A "score" is an evaluation point given by the generative AI model to the results of volunteer activities.

[0626] "Reward Points" are points calculated based on the score generated by the generative AI model and awarded to a user's account.

[0627] "Notifications" are messages that inform users about earning reward points or important information from the system.

[0628] "Media" refers to information such as photos and videos used to record and communicate the results of activities.

[0629] A "database" is a system for efficiently storing and managing various types of information and data.

[0630] "Interface" refers to the screens and operating means through which users interact with the system.

[0631] The present invention provides a system for efficiently managing rewards and evaluations for volunteer activities. This system includes a means for converting points into rewards for volunteer activities and evaluating the points using a point generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user.

[0632] System Configuration

[0633] This system consists of three main components: a server, a terminal, and a user.

[0634] 1. Server

[0635] The server first creates accounts for each volunteer group, local government, and system provider, and registers their authentication information.

[0636] The server sets up a generative AI model and registers the evaluation criteria for volunteer activities in a database.

[0637] The server analyzes the activity results received from the user and performs scoring using a generation AI.

[0638] The server calculates reward points based on the score and adds them to the user's account.

[0639] The server will send the user details of the reward points and a notification of the points earned.

[0640] Specific hardware includes a powerful processor, sufficient memory capacity, and a database management system, while software includes a generative AI model, a database management system, and a notification system.

[0641] 2. Terminal

[0642] The terminals are intended for use by volunteer groups, local government officials, and users, and are provided with dedicated applications.

[0643] The terminals provide a means for volunteer groups and local government officials to log in and configure their activities, enter details of their activities, and send them to a server.

[0644] The terminal provides a means for users to register with a dedicated application and apply to participate in an activity.

[0645] The terminal provides a means for the user to send activity results (reports, photos, videos) to the server.

[0646] The terminal provides an interface for users to check their points balance, earned honor, and status.

[0647] Specific hardware includes electronic devices such as smartphones, tablets, and computers, while software includes dedicated mobile and web applications.

[0648] 3. Users

[0649] A user registers with the application and enters profile information.

[0650] Users choose the volunteer activity they want to participate in and participate in it.

[0651] After completing an activity, the user inputs the activity results into the application and sends them to the server.

[0652] Users will see the points they have earned as rewards and receive notifications.

[0653] Specific examples

[0654] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[0655] Users (volunteers):

[0656] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[0657] 2. Participate in activities and perform nursing care assistance duties.

[0658] 3. After completing the activity, use the application to create a report and upload photos.

[0659] server:

[0660] 1. The server receives the report and photos sent by the user.

[0661] 2. A generative AI model analyzes the report and photos and assigns a score.

[0662] 3. Calculate 100 points based on the score and add them to the user's account.

[0663] 4. Send a notification to the user that they have earned points.

[0664] Device:

[0665] 1. The user opens the application and sees that they have earned 100 points.

[0666] Prompt Sentence Examples

[0667] Analyze volunteer reports and photos and score them using a generative AI model. Provide the following information:

[0668] Activity name: Elderly care assistance

[0669] Activities: General nursing care support work

[0670] Report: Describes that the nursing care assistance work has been completed and completed successfully

[0671] Photo: Photograph of nursing care assistance

[0672] Throughout the system, each component works in cooperation to ensure fair evaluation and notification of rewards to users, thereby stimulating volunteer activities and improving the motivation of participants.

[0673] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0674] Step 1:

[0675] The user launches a dedicated application and enters the required profile information into a new registration form. The entered information (name, email address, password, etc.) is sent to the server via the device. The server registers the received data in a database, generates authentication information, and returns it. The output is the initialized user account information.

[0676] Step 2:

[0677] The user enters authentication information on the login screen and logs into the system. The entered authentication information (user ID, password) is sent to the server via the terminal. The server verifies it against the information in the database, and if authentication is successful, displays the dashboard. The output is a message indicating whether the login was successful or failed.

[0678] Step 3:

[0679] The user selects an activity they wish to participate in (e.g., "assisting elderly care") from a list of volunteer activities provided within the application. The device retrieves detailed information about the selected activity from the server and displays it to the user. The output is detailed information about the selected activity.

[0680] Step 4:

[0681] The user applies for participation by pressing the "Apply for Participation" button on the details page of the selected activity. The application information (activity name, user ID, desired date and time, etc.) is sent to the server via the terminal. The server accepts the application and records it in the database. The output is a message indicating that the application has been completed.

[0682] Step 5:

[0683] After completing an activity, the user goes to the activity report section in the application and enters a report describing the activity. Along with the report, they also upload photos and videos of the activity. This data (report, photos, videos) is sent to the server via the device. The server stores the received data in a database. The output is a message confirming receipt and the stored data.

[0684] Step 6:

[0685] The server extracts the received reports and media files from the database and inputs them into the generative AI model. The input data is reports, photos, and videos. The generative AI model analyzes this data and generates a score to evaluate the quality of volunteer activities. The output is a score as a result of the analysis.

[0686] Step 7:

[0687] The server calculates the reward points to be awarded to the user based on the score obtained from the generative AI model. The input is the score from the generative AI model, and the calculated reward points are updated in the user's account information. The output is the updated user account information.

[0688] Step 8:

[0689] The server generates a message to notify the user of the reward points and sends it to the terminal application. The input is the reward points information and the output is the notification message. The user receives the notification and confirms that the points have been updated.

[0690] Step 9:

[0691] The user opens the application and checks the points earned in their account information section. The input is the user account information, and the output is the displayed points balance, honors, and status details.

[0692] (Application example 1)

[0693] 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."

[0694] Volunteer activities as part of social contribution activities and efficient work in factories are becoming increasingly important. However, there was no way to properly evaluate the results of these activities and work and provide fair rewards to the users and robots who participated. Furthermore, managing evaluations and rewards was complicated and prone to manual errors. Therefore, a system to solve these issues was needed.

[0695] 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.

[0696] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generation AI, a means for evaluating the efficiency and accuracy of a robot performing a specific task in a factory, a means for adding reward points for the volunteer activities and robot work to a user's account, and a means for notifying the user of the acquisition of reward points, thereby enabling efficient evaluation and reward management of volunteer activities and robot work in a factory.

[0697] "Volunteer activities" are activities undertaken without compensation for the purpose of contributing to society.

[0698] "Reward points" are points with convertible value that are awarded for volunteer activities or robotic work results.

[0699] "Generative AI" is a system that uses artificial intelligence technology to analyze and evaluate data.

[0700] "Means for evaluating results" refers to a method that uses generative AI to judge the results of activities or tasks and assign a score.

[0701] A "robot" is a machine that performs work under automatic control and is responsible for specific tasks within a factory.

[0702] "Efficiency" is a measure of achieving maximum results using a given amount of resources.

[0703] "Accuracy" is a measure of whether a task or activity is performed as expected.

[0704] "User" refers to the entity that uses the system, and is a concept that includes volunteer participants and factory managers.

[0705] An "account" is a set of data to which a user has rights to access the system.

[0706] "Notification means" refers to a method for conveying information to a user, and may use a message or an application.

[0707] "Evaluation criteria" are indicators used to set benchmarks when evaluating volunteer activities and robot work.

[0708] An "interface" is an operation screen or tool that allows a user to directly interact with a system.

[0709] This invention provides a system for efficiently managing the evaluation and reward of volunteer activities and factory robot work. This system is mainly composed of three elements: a server, a terminal, and a user.

[0710] server

[0711] The server has the following features:

[0712] Create accounts for each volunteer group, factory manager, and system provider and register authentication information.

[0713] A generative AI model is set up and evaluation criteria for volunteer activities and robot work are registered in a database.

[0714] The activity results received from volunteers and robots are analyzed and scored using generative AI.

[0715] Based on the score, reward points are calculated and added to the user's account.

[0716] Send the user reward point details and reward point acquisition notifications.

[0717] Terminal

[0718] The terminals are intended for use by volunteer groups, factory managers, volunteers, and robots. Their main functions are:

[0719] Volunteer groups and factory managers log in and set up the system using a dedicated application.

[0720] Enter details of volunteer activities and factory work (reward points, activity details, etc.) and send them to the server.

[0721] Volunteers and factory robots register with a dedicated application and report their activities and work results.

[0722] Volunteers and factory managers can check their points balance, earned honor, and status using the terminal application.

[0723] User

[0724] Using this system, users can:

[0725] Register for the application and enter your profile information.

[0726] Choose the volunteer activities or factory work you would like to participate in and take part in the activities or work.

[0727] After completing an activity or task, the results are entered into the application and sent to the server.

[0728] See the reward points you've earned and get notified.

[0729] Specific examples

[0730] As a concrete example, let us look at a work evaluation system for a factory robot. Let's say a robot assembling electronic components in a factory completes its work with a certain level of accuracy and speed. In this case, a generative AI is used to create the following prompt sentence and evaluate it:

[0731] "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Errors: 1"

[0732] This data is sent to a generative AI model, which evaluates the robot's performance and calculates reward points based on the score. The calculated points are added to the robot's account and reported to managers through notification methods. This system enables efficient evaluation and reward management of volunteer activities and robot work in factories.

[0733] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0734] Step 1:

[0735] The terminal receives activity and work results from users or factory robots. Specifically, volunteer activity reports and factory work data (e.g., "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Number of errors: 1") are input. This allows initial data to be collected.

[0736] Step 2:

[0737] The terminal sends the received activity results and work results to the server. At this time, the data format is checked and, if necessary, appropriate data processing (e.g., data format conversion, removal of invalid data) is performed so that the server can accurately analyze it. The output is the processed data.

[0738] Step 3:

[0739] The server receives the data sent from the device. It analyzes the received data and generates a prompt to input into the generative AI model. For example, it converts the prompt into a format such as "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Number of errors: 1." This prepares the data to be evaluated.

[0740] Step 4:

[0741] The server uses a generative AI model to evaluate prompt sentences. The prompt sentence is input into the generative AI model, and an evaluation score is output. Data calculation involves evaluating and scoring the results of activities and tasks based on the input data. The output is an evaluation score.

[0742] Step 5:

[0743] The server calculates reward points based on the evaluation score, and calculates the specific number of points using a reward point conversion table according to the score, thereby obtaining the points as numerical data.

[0744] Step 6:

[0745] The server adds the calculated reward points to the user's account, merges the points data with the user's account information, and updates the account's points balance. The output is the updated account data.

[0746] Step 7:

[0747] The server notifies the user of the reward points earned. Specific notification methods include in-app messages, emails, push notifications, etc. The notification includes detailed information about the earned points. The output is the notification message sent to the user.

[0748] Step 8:

[0749] The user uses the terminal to check their point balance, earned honor, and status. The point information is displayed through the application interface, allowing the user to check the reward details. The output is the updated information on the user's display screen.

[0750] As a result, this system can efficiently evaluate and manage rewards for volunteer activities and robotic work in factories.

[0751] 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.

[0752] This invention provides a system that efficiently manages rewards and evaluations for volunteer activities and combines it with an emotion engine that recognizes and analyzes user emotions. This system includes a means for converting reward points for volunteer activities and evaluating those points using a generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user. Furthermore, by combining it with an emotion engine that recognizes and analyzes user emotions, the quality of volunteer activities and the user experience are improved.

[0753] System Configuration

[0754] The system consists of four main components: a server, a terminal, a user, and an emotion engine.

[0755] 1. Server

[0756] The server has the following features:

[0757] Create an account for each volunteer organization, local government, and system provider and register authentication information.

[0758] Set up a generative AI model and register the evaluation criteria for volunteer activities in a database.

[0759] The activity results received from users are analyzed and scored using generative AI.

[0760] Based on the score, reward points are calculated and added to the user's account.

[0761] Send the user reward point details and reward point acquisition notifications.

[0762] The emotional data received from the emotion engine is stored in a database, and the reward points are adjusted taking into account the analysis results.

[0763] 2. Terminal

[0764] The terminals are used by volunteer groups, local government officials, and users. Their main functions are as follows:

[0765] Volunteer groups and local government officials log in and set up the system using a dedicated application.

[0766] Enter details of your volunteer activity (reward points, activity details, etc.) and send them to the server.

[0767] Users register on a dedicated application and apply to participate in volunteer activities.

[0768] Users use their devices to send activity results (reports, photos, videos) to the server.

[0769] Users can check their point balance, earned honor, and status using the application on their device.

[0770] Collect user emotion data and send it to the server.

[0771] 3. Users

[0772] Using this system, users can:

[0773] Register for the application and enter your profile information (name, contact information, areas of interest, etc.).

[0774] Choose a volunteer activity you would like to participate in and participate in it.

[0775] After completing the activity, the activity results are entered into the application and sent to the server.

[0776] See the reward points you've earned and get notified.

[0777] Emotional data is collected through the device and sent to the server.

[0778] 4. Emotion Engine

[0779] The emotion engine has the following functions:

[0780] Users' emotional data is collected periodically and emotional changes during and after volunteer activities are analyzed.

[0781] Adjust reward points and provide appropriate feedback based on sentiment data.

[0782] Specific examples

[0783] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[0784] Users (volunteers):

[0785] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[0786] 2. Participate in activities and perform nursing care assistance duties.

[0787] 3. After the activity is completed, the user records the emotional data using the device, creates a report, uploads the photos, and then sends the report to the server.

[0788] server:

[0789] 1. The server receives the reports, photos, and emotion data sent by the user and stores them in a database.

[0790] 2. A generative AI model analyzes the report and photos and assigns a score.

[0791] 3. The emotion engine analyzes the emotion data and influences the score.

[0792] 4. Calculate reward points based on the score and add them to the user's account.

[0793] 5. Send a notification to the user that they have earned points.

[0794] Device:

[0795] 1. The user opens the application and sees feedback based on the reward points earned, prestige, status, and emotional data.

[0796] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation, contributes to the revitalization of volunteer activities, and provides more advanced evaluation and feedback that takes into account changes in the user's emotions.

[0797] The processing flow will be explained below.

[0798] Step 1:

[0799] server:

[0800] Create accounts for local governments and volunteer organizations and register their respective authentication information.

[0801] Step 2:

[0802] Device:

[0803] A volunteer organization representative logs into a dedicated application, enters details of the volunteer activity (e.g., activity date and time, number of people recruited, reward points, etc.), and sends them to the server.

[0804] Step 3:

[0805] server:

[0806] The server stores the received volunteer activity details in a database and displays them in the application in a user-viewable format.

[0807] Step 4:

[0808] User:

[0809] A user registers with the application and enters profile information (e.g., name, contact information, areas of interest, etc.).

[0810] Step 5:

[0811] server:

[0812] The server receives the user's profile information and stores it in a database. The server provides the user with a list of volunteer activities.

[0813] Step 6:

[0814] User:

[0815] Users select the volunteer activity they would like to participate in on the application and submit their application.

[0816] Step 7:

[0817] server:

[0818] The server receives the user's participation request, notifies the volunteer organization, and records the user's participation status in their account.

[0819] Step 8:

[0820] Device:

[0821] Volunteer groups will divide up roles and prepare necessary items before the scheduled date of the activity, and will be ready to carry out the activity.

[0822] Step 9:

[0823] User:

[0824] Users participate in volunteer activities at designated times and record emotional data on their devices during and after the activities.

[0825] Step 10:

[0826] Device:

[0827] The device periodically collects the user's emotional data and transmits it to the server.

[0828] Step 11:

[0829] User:

[0830] After completing the activity, the user uses the device to write a report and upload photos and videos as evidence, which are then sent to the server.

[0831] Step 12:

[0832] server:

[0833] The server receives the reports, photos, and videos and stores them in a database, along with the emotional data.

[0834] Step 13:

[0835] server:

[0836] The received activity data and emotion data are sent to the generation AI, which analyzes the activity data and emotion data and assigns a score based on the evaluation criteria.

[0837] Step 14:

[0838] Generation AI:

[0839] The generating AI analyzes the volunteer activity report and emotional data, calculates a score, and sends the results back to the server.

[0840] Step 15:

[0841] server:

[0842] Based on the score received from the generation AI, the server adjusts the reward points taking into account the analysis results of the emotion engine and awards the points to the user's account.

[0843] Step 16:

[0844] server:

[0845] The server notifies the user of the result of point allocation.

[0846] Step 17:

[0847] User:

[0848] Users open the app to see the reward points they have earned and the points they have adjusted based on their feedback and sentiment data.

[0849] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation, contributes to the revitalization of volunteer activities, and provides advanced evaluation and feedback that takes into account changes in the user's emotions.

[0850] Example 2

[0851] 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."

[0852] In conventional volunteer activities, the evaluation of results and the awarding of rewards are complicated, making it difficult to evaluate based on unified standards. In addition, there is a lack of feedback and sentiment analysis methods to maximize volunteer motivation. This has made it difficult to sufficiently improve the quality of volunteer activities and participant satisfaction.

[0853] 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.

[0854] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generation AI, a means for adding reward points for volunteer activities to a user's account, a means for notifying the user of the acquisition of reward points, a means for analyzing the user's emotional data using an emotion engine and adjusting the reward points, and a means for collecting the user's emotional data and transmitting it to the server. This makes it possible to provide evaluations and feedback that take the user's emotions into consideration, thereby improving the quality of volunteer activities and the satisfaction of participants.

[0855] "Volunteer activities" refers to a variety of activities carried out without compensation for the public good.

[0856] "Reward points" refers to convertible points awarded to users based on the results of their volunteer activities.

[0857] "Generative AI" refers to an artificial intelligence model that uses natural language processing and other techniques to analyze and evaluate data.

[0858] "User" refers to an individual or organization who uses this system to participate in volunteer activities and earn reward points.

[0859] "Emotion data" refers to data that indicates the user's emotional state during and after an activity.

[0860] An "emotion engine" refers to a software engine that analyzes users' emotional data and reflects the results in evaluations and reward points.

[0861] "Server" refers to a computer system for storing, analyzing, and processing data.

[0862] "Account" refers to registration data that manages user information for accessing the system.

[0863] "Database" refers to an information storage system for systematically storing and managing information used within a system.

[0864] "Interface" refers to the operation screen and input device used by the user when using the system.

[0865] "Evaluation criteria" refers to the indicators and rules that serve as the basis for evaluating the results of volunteer activities.

[0866] "Notification" refers to the act of transmitting information such as reward points and evaluation results from the system to the user.

[0867] The present invention provides a system that efficiently manages rewards and evaluations for volunteer activities and combines it with an emotion engine that recognizes and analyzes user emotions. This system includes a means for converting reward points for volunteer activities and evaluating those points using a generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user. Furthermore, by combining it with an emotion engine that recognizes and analyzes user emotions, the quality of volunteer activities and the user experience can be improved.

[0868] System Configuration

[0869] The system consists of four main components: a server, a terminal, a user, and an emotion engine.

[0870] server

[0871] The server has the following features:

[0872] Account creation and authentication: Create accounts for each volunteer organization, local government, and system provider, and manage authentication information. For example, secure account management using cloud services.

[0873] Setting up a generative AI model: Using a natural language processing model (e.g., GPT-4), register the evaluation criteria for volunteer activities in a database.

[0874] Data analysis and scoring: The activity results sent by the user are analyzed and scored by the generation AI. For example, reports and photos are analyzed and evaluated by the generation AI.

[0875] Reward points calculation and notification: Calculate reward points based on the score given and add them to the user's account. Notify the user of the details.

[0876] Emotion data analysis: The emotional data received from the emotion engine is stored in a database, and the analysis results are reflected in the score.

[0877] Terminal

[0878] The devices are intended for use by volunteer groups, local government officials, and users, and have the following functions via a dedicated application:

[0879] Login and settings: Volunteer groups and local government officials log in to the device using a dedicated application and set up their activities.

[0880] Enter activity details: Enter details of the volunteer activity (reward points, activity content, etc.) and send them to the server.

[0881] Participation application and result transmission: Users apply to participate through the application, and after completing the activity, they send reports, photos, and emotional data to the server.

[0882] Information confirmation: The user checks his / her reward points, honor, and status in the terminal application.

[0883] User

[0884] The user does the following:

[0885] Registering profile information: When creating an account, you enter your name, contact information, areas of interest, etc. and send this information to the server.

[0886] Selecting and participating in activities: Select and participate in volunteer activities that interest you.

[0887] Sending activity results and emotional data: After the activity is completed, a report is created, photos are uploaded, and emotional data is recorded and sent to the server.

[0888] Check reward points: Check the reward points and feedback you have earned in the application.

[0889] Emotion Engine

[0890] The emotion engine has the following features:

[0891] Emotional data collection and analysis: Emotional data from users is collected periodically and changes during and after volunteer activities are analyzed.

[0892] Data reflection and feedback: The analysis results are reflected in the evaluation of volunteer activities and appropriate feedback is provided to users.

[0893] Specific examples

[0894] Below is the process of participating in elderly care assistance activities.

[0895] Users (volunteers):

[0896] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[0897] Example prompt: "I would like to participate in elderly care assistance activities."

[0898] 2. Carry out nursing care assistance activities.

[0899] 3. After the activity is completed, emotional data is recorded, a report is created, photos are uploaded, and the data is sent to the server.

[0900] Example prompt: "I have completed the caregiving assistance activity. I will upload my emotional data and photos."

[0901] server:

[0902] 1. The server receives reports, photos, and emotion data and stores them in a database.

[0903] 2. A generative AI model analyzes the report and photos and assigns a score.

[0904] 3. The emotion engine analyzes the emotion data and influences the score.

[0905] 4. Calculate reward points based on the score and add them to the user's account.

[0906] 5. Send a notification to the user that they have earned points.

[0907] Device:

[0908] 1. User opens the application and checks reward points and feedback.

[0909] Example prompt: "Check your reward points."

[0910] As described above, the present invention can efficiently evaluate and manage the results of volunteer activities and improve user satisfaction.

[0911] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0912] Step 1:

[0913] User Registration / Login

[0914] Input: A user enters profile information such as name, contact details, and interests into a form and submits it.

[0915] Output: Account information of the user registered on the server.

[0916] Specific operation: The user installs the dedicated application and enters the required information into the new registration form. After completing the entry, the user presses the submit button and the information is sent to the server. The server stores the received information in a database and creates a new user account.

[0917] Step 2:

[0918] Choosing a volunteer activity and applying to participate

[0919] Input: The user selects an activity of interest from the list of activities in the application and applies to participate.

[0920] Output: User participation application information saved on the server.

[0921] Specific operation: The user logs in to the application and selects an activity such as "elderly care assistance" from the list of activities. On the activity details screen, the user checks the location, date, and content, and clicks the "Apply to participate" button, which sends the details to the server. The server then saves the application information in a database.

[0922] Step 3:

[0923] Volunteer activities and emotional data collection

[0924] Input: A user participates in volunteer activities with a device. During the activity, the device collects emotional data (facial expressions, voice tone, etc.).

[0925] Output: Emotion data sent to the server.

[0926] Specific operation: The user volunteers at a designated date, time, and location. The device uses the built-in camera and microphone to analyze the user's facial expressions and tone of voice to collect emotional data in real time.

[0927] Step 4:

[0928] Activity results reporting and data transmission

[0929] Input: After completing an activity, the user creates a report, uploads photos and videos, and sends emotional data to the server.

[0930] Output: Activity reports, photos, videos, and emotion data received and stored on the server.

[0931] Specific operation: The user uses a dedicated form in the application to enter activity reports and upload photos and videos showing their activities. This information, along with the collected emotional data, is sent to the server. The server stores the received information in a database and prepares it for analysis.

[0932] Step 5:

[0933] Data analysis and evaluation using generative AI

[0934] Input: Activity reports, photos, videos, and emotion data received by the server.

[0935] Output: Score and evaluation results after being analyzed by the generative AI model.

[0936] How it works: The server passes the received reports, photos, and videos to a generative AI model (e.g., GPT-4). The generative AI model analyzes the data and assigns a score based on quality and completeness. At the same time, the emotion engine analyzes the emotion data and reflects the results in the score. The server stores the final evaluation results.

[0937] Step 6:

[0938] Reward point calculation and user notification

[0939] Input: Final evaluation results from generative AI and emotion engine.

[0940] Output: Reward points added to user's account, notification message.

[0941] Specific operation: The server calculates reward points based on the evaluation results and adds the points to the user's account. It also sends a push notification to the user with detailed reward point information and a notification that the points have been earned. The user can receive the notification on their device.

[0942] Step 7:

[0943] Check user feedback

[0944] Input: Reward points and evaluation results sent to the user from the server.

[0945] Output: An interface display to check feedback and reward points.

[0946] How it works: Users open the app and see feedback in the "Rewards" section based on their earned points, honor, status, and emotional data. Based on this feedback, users can be more motivated to volunteer next time.

[0947] (Application example 2)

[0948] 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."

[0949] Conventional volunteer activity evaluation systems have difficulty quantitatively evaluating the results of volunteer activities, resulting in inappropriate rewards and evaluations. Furthermore, because evaluations do not take into account the emotions and motivation of users during the activities, there are limitations to improving volunteer motivation. This creates challenges that hinder the quality of volunteer activities and inhibit continued participation.

[0950] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for converting points provided as a reward for volunteer activity, means for evaluating the results of the volunteer activity using a generation AI, means for granting reward points for volunteer activity to a user's account, means for notifying the user of the acquisition of reward points, means for recording and analyzing user emotion data, and means for adjusting reward points based on the emotion data. This makes it possible to appropriately evaluate the results of the volunteer activity and the user's emotions and grant reward points.

[0951] "Points" are a virtual currency or unit of value offered as a reward for volunteer work.

[0952] "Generative AI" is a model that uses artificial intelligence techniques to generate valuable information and insights from data.

[0953] "Emotion data" is information about the user's emotions and psychological state extracted from their facial expressions, voice, actions, etc.

[0954] A "server" is a computer system that processes, stores, and manages data.

[0955] "User" refers to any individual or organization that uses this system.

[0956] An "account" is a collection of information registered by a user in order to use the system.

[0957] "Reward points" are points that users receive for volunteer activities, and are awarded based on results and emotional data.

[0958] "Feedback" refers to advice and evaluation information provided by the system to the user, with the aim of improving the user's behavior and motivation.

[0959] "Evaluation criteria" are standards for evaluating the results and quality of volunteer activities, and are set by the generating AI.

[0960] "Motivation" refers to the motivation or drive that keeps a user participating in volunteer activities.

[0961] System Overview

[0962] A system for implementing the present invention comprises the following major components:

[0963] 1. Server

[0964] 2. Terminal

[0965] 3. Users

[0966] 4. Emotion Engine

[0967] Server Features

[0968] The server performs the following functions:

[0969] Convert reward points for volunteer work.

[0970] Using generative AI to evaluate the results of volunteer activities.

[0971] Volunteer reward points are added to the user's account.

[0972] Notify the user when reward points are earned.

[0973] Record and analyze user emotion data.

[0974] Adjust reward points based on sentiment data.

[0975] Specifically, the server is developed using the Flask framework. The generative AI model module is used to analyze task completion status and emotion data and make evaluations. The emotion engine module analyzes user emotion data and adjusts reward points based on the results.

[0976] Device Features

[0977] A terminal is a device that is directly used by a user, such as a smartphone or tablet. A terminal has the following functions:

[0978] It provides an interface for users to input activity details and emotion data.

[0979] A camera is used to capture the user's facial expressions and generate emotion data.

[0980] Displays the results analyzed by generative AI and emotion engine.

[0981] For example, workers can use their smartphones to input their emotional data and work details after completing a task. The smartphone app then transmits this data to a server, providing an interface for receiving reward points and feedback.

[0982] User operations

[0983] The user operates the system as follows:

[0984] 1. Log in to the smartphone app and enter your volunteer activity details.

[0985] 2. Use a camera to capture emotional data.

[0986] 3. The entered activity details and emotion data are sent to the server.

[0987] 4. Check your reward points and feedback.

[0988] For example, a factory worker can log in to the app after finishing work, type "Today's work is finished. I feel very fulfilled," and take a photo of their facial expression with their smartphone camera. The server analyzes this data and notifies the worker of reward points and feedback.

[0989] The role of the emotional engine

[0990] The emotion engine analyzes the user's emotions based on the image data received from the device, and the analysis results are sent to the generation AI and used to adjust the additional reward points.

[0991] Specific examples

[0992] Examples of specific prompts include:

[0993] Good job! Please enter the details of today's task. Then, use the camera to capture your facial expression. Based on the entered task status and facial expression data, we will calculate a score and award you points. We will also provide feedback, so please check it.

[0994] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0995] Step 1:

[0996] Users log in to the smartphone app and enter details of their volunteer activities. Specifically, users enter the details of the day's tasks and their self-evaluation in text format into the app, and the input data is sent to the server. The input data includes the task name, the details performed, the time required, and their self-evaluation.

[0997] Step 2:

[0998] Users capture their facial expressions using their smartphone camera, and the app sends this image data to an emotion engine that generates the user's emotional data. This process uses a facial expression analysis algorithm to extract emotions such as smile, sadness, and surprise.

[0999] Step 3:

[1000] The device sends the entered activity details and captured emotion data to the server, which receives and stores these data in a database, at which point the server checks the consistency and completeness of the received data.

[1001] Step 4:

[1002] The server analyzes the received activity details and emotion data using a generative AI model. The generative AI model evaluates the activity details and calculates an appropriate score. It also adjusts the score based on the emotion data received from the emotion engine. The analysis results are stored on the server.

[1003] Step 5:

[1004] The server calculates reward points based on the analysis results and adds them to the user's account. The points are calculated based on the score calculated by the generative AI model and emotion data. The calculated points are stored in a database and added to the user's account.

[1005] Step 6:

[1006] The server notifies the user of the reward point acquisition status and feedback. Specifically, it sends a push notification to the smartphone app so that the user can check the number of points and feedback within the app. The notification content includes the number of points acquired and feedback from the generation AI and emotion engine.

[1007] Step 7:

[1008] Users can open the smartphone app to check the reward points they have earned and the feedback they have received. Users can check their point balance and receive feedback based on their emotional data, which can be reflected in their next and subsequent activities. This feedback helps to increase the user's motivation and improve the quality of their activities.

[1009] 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.

[1010] 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.

[1011] 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.

[1012] [Third embodiment]

[1013] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1014] 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.

[1015] 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).

[1016] 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.

[1017] 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.

[1018] 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).

[1019] 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.

[1020] 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.

[1021] 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.

[1022] 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.

[1023] 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.

[1024] 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."

[1025] The present invention provides a system for efficiently managing rewards and evaluations for volunteer activities. This system includes a means for converting points into rewards for volunteer activities and evaluating the points using a point generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user.

[1026] System Configuration

[1027] This system consists of three main components: a server, a terminal, and a user.

[1028] 1. Server

[1029] The server has the following features:

[1030] Create an account for each volunteer organization, local government, and system provider and register authentication information.

[1031] Set up a generative AI model and register the evaluation criteria for volunteer activities in a database.

[1032] The activity results received from users are analyzed and scored using generative AI.

[1033] Based on the score, reward points are calculated and added to the user's account.

[1034] Send the user reward point details and reward point acquisition notifications.

[1035] 2. Terminal

[1036] The terminals are used by volunteer groups, local government officials, and users. Their main functions are as follows:

[1037] Volunteer groups and local government officials log in and set up the system using a dedicated application.

[1038] Enter details of your volunteer activity (reward points, activity details, etc.) and send them to the server.

[1039] Users register on a dedicated application and apply to participate in volunteer activities.

[1040] Users use their devices to send activity results (reports, photos, videos) to the server.

[1041] Users can check their points balance, earned honor, and status using the application on their device.

[1042] 3. Users

[1043] Using this system, users can:

[1044] Register for the application and enter your profile information.

[1045] Choose a volunteer activity you would like to participate in and participate in it.

[1046] After completing the activity, the activity results are entered into the application and sent to the server.

[1047] See the reward points you've earned and get notified.

[1048] Specific examples

[1049] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[1050] Users (volunteers):

[1051] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[1052] 2. Participate in activities and perform nursing care assistance duties.

[1053] 3. After completing the activity, use the application to create a report and upload photos.

[1054] server:

[1055] 1. The server receives the report and photos sent by the user.

[1056] 2. A generative AI model analyzes the report and photos and assigns a score.

[1057] 3. Calculate 100 points based on the score and add them to the user's account.

[1058] 4. Send a notification to the user that they have earned points.

[1059] Device:

[1060] 1. The user opens the application and sees that they have earned 100 points.

[1061] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation and contributes to the revitalization of volunteer activities.

[1062] The processing flow will be explained below.

[1063] Step 1:

[1064] server:

[1065] Create accounts for local governments and volunteer organizations and register their respective authentication information.

[1066] Step 2:

[1067] Device:

[1068] A volunteer organization representative logs into a dedicated application, enters details of the volunteer activity (e.g., activity date and time, number of people recruited, reward points, etc.), and sends them to the server.

[1069] Step 3:

[1070] server:

[1071] The server stores the received volunteer activity details in a database and displays them in the application in a user-viewable format.

[1072] Step 4:

[1073] User:

[1074] A user registers with the application and enters profile information (e.g., name, contact information, areas of interest, etc.).

[1075] Step 5:

[1076] server:

[1077] The server receives the user's profile information and stores it in a database. The server provides the user with a list of volunteer activities.

[1078] Step 6:

[1079] User:

[1080] Users select the volunteer activity they would like to participate in on the application and submit their application.

[1081] Step 7:

[1082] server:

[1083] The server receives the user's participation request, notifies the volunteer organization, and records the user's participation status in their account.

[1084] Step 8:

[1085] Device:

[1086] Volunteer groups will divide up roles and prepare necessary items before the scheduled date of the activity, and will be ready to carry out the activity.

[1087] Step 9:

[1088] User:

[1089] Users participate in volunteer activities at the designated date and time, and after completing the activities, they record photos and videos on their devices to create a report.

[1090] Step 10:

[1091] User:

[1092] After completing an activity, users use the application to create a report and upload photos and videos as evidence, which is then sent to the server.

[1093] Step 11:

[1094] server:

[1095] The server receives the reports, photos and videos and stores them in a database.

[1096] Step 12:

[1097] server:

[1098] The received activity data is sent to the generation AI, which analyzes the activity data and assigns a score based on the evaluation criteria.

[1099] Step 13:

[1100] Generation AI:

[1101] The generating AI analyzes the volunteer activity reports, calculates a score, and sends the results back to the server.

[1102] Step 14:

[1103] server:

[1104] The server calculates reward points based on the score received from the generation AI and credits the points to the user's account.

[1105] Step 15:

[1106] server:

[1107] The server notifies the user of the result of point allocation.

[1108] Step 16:

[1109] User:

[1110] Users open the application to view the reward points, honor, and status they have earned.

[1111] This series of processing steps allows for efficient management of volunteer activities from participation to reward provision, thereby realizing a system that improves user motivation.

[1112] Example 1

[1113] 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."

[1114] In conventional volunteer activities, there was no system to properly evaluate the results of activities and provide rewards based on the results. This resulted in a decline in the motivation of people participating in volunteer activities, making it difficult to contribute to the revitalization of activities. In addition, there were few means to fairly and efficiently evaluate the results of activities, which could lead to a sense of unfairness in the distribution of rewards.

[1115] 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.

[1116] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generative AI, a means for adding reward points for volunteer activities to a user's account, a means for notifying the user of the acquisition of reward points, a means for receiving and analyzing the user's reports and media, a means for scoring based on evaluation criteria using a generative AI model, and a means for calculating reward points based on the scores. This makes it possible to fairly and efficiently evaluate the results of volunteer activities and appropriately award rewards based on the results.

[1117] "Points" are a numerical value provided as a reward for volunteer work.

[1118] "Generative AI" is a technology that uses artificial intelligence models to analyze data and make evaluations and predictions.

[1119] "Evaluation criteria" refers to specific items and indicators used to evaluate the results of volunteer activities.

[1120] A "score" is an evaluation point given by the generative AI model to the results of volunteer activities.

[1121] "Reward Points" are points calculated based on the score generated by the generative AI model and awarded to a user's account.

[1122] "Notifications" are messages that inform users about earning reward points or important information from the system.

[1123] "Media" refers to information such as photos and videos used to record and communicate the results of activities.

[1124] A "database" is a system for efficiently storing and managing various types of information and data.

[1125] "Interface" refers to the screens and operating means through which users interact with the system.

[1126] The present invention provides a system for efficiently managing rewards and evaluations for volunteer activities. This system includes a means for converting points into rewards for volunteer activities and evaluating the points using a point generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user.

[1127] System Configuration

[1128] This system consists of three main components: a server, a terminal, and a user.

[1129] 1. Server

[1130] The server first creates accounts for each volunteer group, local government, and system provider, and registers their authentication information.

[1131] The server sets up a generative AI model and registers the evaluation criteria for volunteer activities in a database.

[1132] The server analyzes the activity results received from the user and performs scoring using a generation AI.

[1133] The server calculates reward points based on the score and adds them to the user's account.

[1134] The server will send the user details of the reward points and a notification of the points earned.

[1135] Specific hardware includes a powerful processor, sufficient memory capacity, and a database management system, while software includes a generative AI model, a database management system, and a notification system.

[1136] 2. Terminal

[1137] The terminals are intended for use by volunteer groups, local government officials, and users, and are provided with dedicated applications.

[1138] The terminals provide a means for volunteer groups and local government officials to log in and configure their activities, enter details of their activities, and send them to a server.

[1139] The terminal provides a means for users to register with a dedicated application and apply to participate in an activity.

[1140] The terminal provides a means for the user to send activity results (reports, photos, videos) to the server.

[1141] The terminal provides an interface for users to check their points balance, earned honor, and status.

[1142] Specific hardware includes electronic devices such as smartphones, tablets, and computers, while software includes dedicated mobile and web applications.

[1143] 3. Users

[1144] A user registers with the application and enters profile information.

[1145] Users choose the volunteer activity they want to participate in and participate in it.

[1146] After completing an activity, the user inputs the activity results into the application and sends them to the server.

[1147] Users will see the points they have earned as rewards and receive notifications.

[1148] Specific examples

[1149] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[1150] Users (volunteers):

[1151] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[1152] 2. Participate in activities and perform nursing care assistance duties.

[1153] 3. After completing the activity, use the application to create a report and upload photos.

[1154] server:

[1155] 1. The server receives the report and photos sent by the user.

[1156] 2. A generative AI model analyzes the report and photos and assigns a score.

[1157] 3. Calculate 100 points based on the score and add them to the user's account.

[1158] 4. Send a notification to the user that they have earned points.

[1159] Device:

[1160] 1. The user opens the application and sees that they have earned 100 points.

[1161] Prompt Sentence Examples

[1162] Analyze volunteer reports and photos and score them using a generative AI model. Provide the following information:

[1163] Activity name: Elderly care assistance

[1164] Activities: General nursing care support work

[1165] Report: Describes that the nursing care assistance work has been completed and completed successfully

[1166] Photo: Photograph of nursing care assistance

[1167] Throughout the system, each component works in cooperation to ensure fair evaluation and notification of rewards to users, thereby stimulating volunteer activities and improving the motivation of participants.

[1168] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1169] Step 1:

[1170] The user launches a dedicated application and enters the required profile information into a new registration form. The entered information (name, email address, password, etc.) is sent to the server via the device. The server registers the received data in a database, generates authentication information, and returns it. The output is the initialized user account information.

[1171] Step 2:

[1172] The user enters authentication information on the login screen and logs into the system. The entered authentication information (user ID, password) is sent to the server via the terminal. The server verifies it against the information in the database, and if authentication is successful, displays the dashboard. The output is a message indicating whether the login was successful or failed.

[1173] Step 3:

[1174] The user selects an activity they wish to participate in (e.g., "assisting elderly care") from a list of volunteer activities provided within the application. The device retrieves detailed information about the selected activity from the server and displays it to the user. The output is detailed information about the selected activity.

[1175] Step 4:

[1176] The user applies for participation by pressing the "Apply for Participation" button on the details page of the selected activity. The application information (activity name, user ID, desired date and time, etc.) is sent to the server via the terminal. The server accepts the application and records it in the database. The output is a message indicating that the application has been completed.

[1177] Step 5:

[1178] After completing an activity, the user goes to the activity report section in the application and enters a report describing the activity. Along with the report, they also upload photos and videos of the activity. This data (report, photos, videos) is sent to the server via the device. The server stores the received data in a database. The output is a message confirming receipt and the stored data.

[1179] Step 6:

[1180] The server extracts the received reports and media files from the database and inputs them into the generative AI model. The input data is reports, photos, and videos. The generative AI model analyzes this data and generates a score to evaluate the quality of volunteer activities. The output is a score as a result of the analysis.

[1181] Step 7:

[1182] The server calculates the reward points to be awarded to the user based on the score obtained from the generative AI model. The input is the score from the generative AI model, and the calculated reward points are updated in the user's account information. The output is the updated user account information.

[1183] Step 8:

[1184] The server generates a message to notify the user of the reward points and sends it to the terminal application. The input is the reward points information and the output is the notification message. The user receives the notification and confirms that the points have been updated.

[1185] Step 9:

[1186] The user opens the application and checks the points earned in their account information section. The input is the user account information, and the output is the displayed points balance, honors, and status details.

[1187] (Application example 1)

[1188] 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."

[1189] Volunteer activities as part of social contribution activities and efficient work in factories are becoming increasingly important. However, there was no way to properly evaluate the results of these activities and work and provide fair rewards to the users and robots who participated. Furthermore, managing evaluations and rewards was complicated and prone to manual errors. Therefore, a system to solve these issues was needed.

[1190] 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.

[1191] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generation AI, a means for evaluating the efficiency and accuracy of a robot performing a specific task in a factory, a means for adding reward points for the volunteer activities and robot work to a user's account, and a means for notifying the user of the acquisition of reward points, thereby enabling efficient evaluation and reward management of volunteer activities and robot work in a factory.

[1192] "Volunteer activities" are activities undertaken without compensation for the purpose of contributing to society.

[1193] "Reward points" are points with convertible value that are awarded for volunteer activities or robotic work results.

[1194] "Generative AI" is a system that uses artificial intelligence technology to analyze and evaluate data.

[1195] "Means for evaluating results" refers to a method that uses generative AI to judge the results of activities or tasks and assign a score.

[1196] A "robot" is a machine that performs work under automatic control and is responsible for specific tasks within a factory.

[1197] "Efficiency" is a measure of achieving maximum results using a given amount of resources.

[1198] "Accuracy" is a measure of whether a task or activity is performed as expected.

[1199] "User" refers to the entity that uses the system, and is a concept that includes volunteer participants and factory managers.

[1200] An "account" is a set of data to which a user has rights to access the system.

[1201] "Notification means" refers to a method for conveying information to a user, and may use a message or an application.

[1202] "Evaluation criteria" are indicators used to set benchmarks when evaluating volunteer activities and robot work.

[1203] An "interface" is an operation screen or tool that allows a user to directly interact with a system.

[1204] This invention provides a system for efficiently managing the evaluation and reward of volunteer activities and factory robot work. This system is mainly composed of three elements: a server, a terminal, and a user.

[1205] server

[1206] The server has the following features:

[1207] Create accounts for each volunteer group, factory manager, and system provider and register authentication information.

[1208] A generative AI model is set up and evaluation criteria for volunteer activities and robot work are registered in a database.

[1209] The activity results received from volunteers and robots are analyzed and scored using generative AI.

[1210] Based on the score, reward points are calculated and added to the user's account.

[1211] Send the user reward point details and reward point acquisition notifications.

[1212] Terminal

[1213] The terminals are intended for use by volunteer groups, factory managers, volunteers, and robots. Their main functions are:

[1214] Volunteer groups and factory managers log in and set up the system using a dedicated application.

[1215] Enter details of volunteer activities and factory work (reward points, activity details, etc.) and send them to the server.

[1216] Volunteers and factory robots register with a dedicated application and report their activities and work results.

[1217] Volunteers and factory managers can check their points balance, earned honor, and status using the terminal application.

[1218] User

[1219] Using this system, users can:

[1220] Register for the application and enter your profile information.

[1221] Choose the volunteer activities or factory work you would like to participate in and take part in the activities or work.

[1222] After completing an activity or task, the results are entered into the application and sent to the server.

[1223] See the reward points you've earned and get notified.

[1224] Specific examples

[1225] As a concrete example, let us look at a work evaluation system for a factory robot. Let's say a robot assembling electronic components in a factory completes its work with a certain level of accuracy and speed. In this case, a generative AI is used to create the following prompt sentence and evaluate it:

[1226] "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Errors: 1"

[1227] This data is sent to a generative AI model, which evaluates the robot's performance and calculates reward points based on the score. The calculated points are added to the robot's account and reported to managers through notification methods. This system enables efficient evaluation and reward management of volunteer activities and robot work in factories.

[1228] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1229] Step 1:

[1230] The terminal receives activity and work results from users or factory robots. Specifically, volunteer activity reports and factory work data (e.g., "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Number of errors: 1") are input. This allows initial data to be collected.

[1231] Step 2:

[1232] The terminal sends the received activity results and work results to the server. At this time, the data format is checked and, if necessary, appropriate data processing (e.g., data format conversion, removal of invalid data) is performed so that the server can accurately analyze it. The output is the processed data.

[1233] Step 3:

[1234] The server receives the data sent from the device. It analyzes the received data and generates a prompt to input into the generative AI model. For example, it converts the prompt into a format such as "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Number of errors: 1." This prepares the data to be evaluated.

[1235] Step 4:

[1236] The server uses a generative AI model to evaluate prompt sentences. The prompt sentence is input into the generative AI model, and an evaluation score is output. Data calculation involves evaluating and scoring the results of activities and tasks based on the input data. The output is an evaluation score.

[1237] Step 5:

[1238] The server calculates reward points based on the evaluation score, and calculates the specific number of points using a reward point conversion table according to the score, thereby obtaining the points as numerical data.

[1239] Step 6:

[1240] The server adds the calculated reward points to the user's account, merges the points data with the user's account information, and updates the account's points balance. The output is the updated account data.

[1241] Step 7:

[1242] The server notifies the user of the reward points earned. Specific notification methods include in-app messages, emails, push notifications, etc. The notification includes detailed information about the earned points. The output is the notification message sent to the user.

[1243] Step 8:

[1244] The user uses the terminal to check their point balance, earned honor, and status. The point information is displayed through the application interface, allowing the user to check the reward details. The output is the updated information on the user's display screen.

[1245] As a result, this system can efficiently evaluate and manage rewards for volunteer activities and robotic work in factories.

[1246] 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.

[1247] This invention provides a system that efficiently manages rewards and evaluations for volunteer activities and combines it with an emotion engine that recognizes and analyzes user emotions. This system includes a means for converting reward points for volunteer activities and evaluating those points using a generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user. Furthermore, by combining it with an emotion engine that recognizes and analyzes user emotions, the quality of volunteer activities and the user experience are improved.

[1248] System Configuration

[1249] The system consists of four main components: a server, a terminal, a user, and an emotion engine.

[1250] 1. Server

[1251] The server has the following features:

[1252] Create an account for each volunteer organization, local government, and system provider and register authentication information.

[1253] Set up a generative AI model and register the evaluation criteria for volunteer activities in a database.

[1254] The activity results received from users are analyzed and scored using generative AI.

[1255] Based on the score, reward points are calculated and added to the user's account.

[1256] Send the user reward point details and reward point acquisition notifications.

[1257] The emotional data received from the emotion engine is stored in a database, and the reward points are adjusted taking into account the analysis results.

[1258] 2. Terminal

[1259] The terminals are used by volunteer groups, local government officials, and users. Their main functions are as follows:

[1260] Volunteer groups and local government officials log in and set up the system using a dedicated application.

[1261] Enter details of your volunteer activity (reward points, activity details, etc.) and send them to the server.

[1262] Users register on a dedicated application and apply to participate in volunteer activities.

[1263] Users use their devices to send activity results (reports, photos, videos) to the server.

[1264] Users can check their point balance, earned honor, and status using the application on their device.

[1265] Collect user emotion data and send it to the server.

[1266] 3. Users

[1267] Using this system, users can:

[1268] Register for the application and enter your profile information (name, contact information, areas of interest, etc.).

[1269] Choose a volunteer activity you would like to participate in and participate in it.

[1270] After completing the activity, the activity results are entered into the application and sent to the server.

[1271] See the reward points you've earned and get notified.

[1272] Emotional data is collected through the device and sent to the server.

[1273] 4. Emotion Engine

[1274] The emotion engine has the following functions:

[1275] Users' emotional data is collected periodically and emotional changes during and after volunteer activities are analyzed.

[1276] Adjust reward points and provide appropriate feedback based on sentiment data.

[1277] Specific examples

[1278] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[1279] Users (volunteers):

[1280] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[1281] 2. Participate in activities and perform nursing care assistance duties.

[1282] 3. After the activity is completed, the user records the emotional data using the device, creates a report, uploads the photos, and then sends the report to the server.

[1283] server:

[1284] 1. The server receives the reports, photos, and emotion data sent by the user and stores them in a database.

[1285] 2. A generative AI model analyzes the report and photos and assigns a score.

[1286] 3. The emotion engine analyzes the emotion data and influences the score.

[1287] 4. Calculate reward points based on the score and add them to the user's account.

[1288] 5. Send a notification to the user that they have earned points.

[1289] Device:

[1290] 1. The user opens the application and sees feedback based on the reward points earned, prestige, status, and emotional data.

[1291] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation, contributes to the revitalization of volunteer activities, and provides more advanced evaluation and feedback that takes into account changes in the user's emotions.

[1292] The processing flow will be explained below.

[1293] Step 1:

[1294] server:

[1295] Create accounts for local governments and volunteer organizations and register their respective authentication information.

[1296] Step 2:

[1297] Device:

[1298] A volunteer organization representative logs into a dedicated application, enters details of the volunteer activity (e.g., activity date and time, number of people recruited, reward points, etc.), and sends them to the server.

[1299] Step 3:

[1300] server:

[1301] The server stores the received volunteer activity details in a database and displays them in the application in a user-viewable format.

[1302] Step 4:

[1303] User:

[1304] A user registers with the application and enters profile information (e.g., name, contact information, areas of interest, etc.).

[1305] Step 5:

[1306] server:

[1307] The server receives the user's profile information and stores it in a database. The server provides the user with a list of volunteer activities.

[1308] Step 6:

[1309] User:

[1310] Users select the volunteer activity they would like to participate in on the application and submit their application.

[1311] Step 7:

[1312] server:

[1313] The server receives the user's participation request, notifies the volunteer organization, and records the user's participation status in their account.

[1314] Step 8:

[1315] Device:

[1316] Volunteer groups will divide up roles and prepare necessary items before the scheduled date of the activity, and will be ready to carry out the activity.

[1317] Step 9:

[1318] User:

[1319] Users participate in volunteer activities at designated times and record emotional data on their devices during and after the activities.

[1320] Step 10:

[1321] Device:

[1322] The device periodically collects the user's emotional data and transmits it to the server.

[1323] Step 11:

[1324] User:

[1325] After completing the activity, the user uses the device to write a report and upload photos and videos as evidence, which are then sent to the server.

[1326] Step 12:

[1327] server:

[1328] The server receives the reports, photos, and videos and stores them in a database, along with the emotional data.

[1329] Step 13:

[1330] server:

[1331] The received activity data and emotion data are sent to the generation AI, which analyzes the activity data and emotion data and assigns a score based on the evaluation criteria.

[1332] Step 14:

[1333] Generation AI:

[1334] The generating AI analyzes the volunteer activity report and emotional data, calculates a score, and sends the results back to the server.

[1335] Step 15:

[1336] server:

[1337] Based on the score received from the generation AI, the server adjusts the reward points taking into account the analysis results of the emotion engine and awards the points to the user's account.

[1338] Step 16:

[1339] server:

[1340] The server notifies the user of the result of point allocation.

[1341] Step 17:

[1342] User:

[1343] Users open the app to see the reward points they have earned and the points they have adjusted based on their feedback and sentiment data.

[1344] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation, contributes to the revitalization of volunteer activities, and provides advanced evaluation and feedback that takes into account changes in the user's emotions.

[1345] Example 2

[1346] 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."

[1347] In conventional volunteer activities, the evaluation of results and the awarding of rewards are complicated, making it difficult to evaluate based on unified standards. In addition, there is a lack of feedback and sentiment analysis methods to maximize volunteer motivation. This has made it difficult to sufficiently improve the quality of volunteer activities and participant satisfaction.

[1348] 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.

[1349] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generation AI, a means for adding reward points for volunteer activities to a user's account, a means for notifying the user of the acquisition of reward points, a means for analyzing the user's emotional data using an emotion engine and adjusting the reward points, and a means for collecting the user's emotional data and transmitting it to the server. This makes it possible to provide evaluations and feedback that take the user's emotions into consideration, thereby improving the quality of volunteer activities and the satisfaction of participants.

[1350] "Volunteer activities" refers to a variety of activities carried out without compensation for the public good.

[1351] "Reward points" refers to convertible points awarded to users based on the results of their volunteer activities.

[1352] "Generative AI" refers to an artificial intelligence model that uses natural language processing and other techniques to analyze and evaluate data.

[1353] "User" refers to an individual or organization who uses this system to participate in volunteer activities and earn reward points.

[1354] "Emotion data" refers to data that indicates the user's emotional state during and after an activity.

[1355] An "emotion engine" refers to a software engine that analyzes users' emotional data and reflects the results in evaluations and reward points.

[1356] "Server" refers to a computer system for storing, analyzing, and processing data.

[1357] "Account" refers to registration data that manages user information for accessing the system.

[1358] "Database" refers to an information storage system for systematically storing and managing information used within a system.

[1359] "Interface" refers to the operation screen and input device used by the user when using the system.

[1360] "Evaluation criteria" refers to the indicators and rules that serve as the basis for evaluating the results of volunteer activities.

[1361] "Notification" refers to the act of transmitting information such as reward points and evaluation results from the system to the user.

[1362] The present invention provides a system that efficiently manages rewards and evaluations for volunteer activities and combines it with an emotion engine that recognizes and analyzes user emotions. This system includes a means for converting reward points for volunteer activities and evaluating those points using a generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user. Furthermore, by combining it with an emotion engine that recognizes and analyzes user emotions, the quality of volunteer activities and the user experience can be improved.

[1363] System Configuration

[1364] The system consists of four main components: a server, a terminal, a user, and an emotion engine.

[1365] server

[1366] The server has the following features:

[1367] Account creation and authentication: Create accounts for each volunteer organization, local government, and system provider, and manage authentication information. For example, secure account management using cloud services.

[1368] Setting up a generative AI model: Using a natural language processing model (e.g., GPT-4), register the evaluation criteria for volunteer activities in a database.

[1369] Data analysis and scoring: The activity results sent by the user are analyzed and scored by the generation AI. For example, reports and photos are analyzed and evaluated by the generation AI.

[1370] Reward points calculation and notification: Calculate reward points based on the score given and add them to the user's account. Notify the user of the details.

[1371] Emotion data analysis: The emotional data received from the emotion engine is stored in a database, and the analysis results are reflected in the score.

[1372] Terminal

[1373] The devices are intended for use by volunteer groups, local government officials, and users, and have the following functions via a dedicated application:

[1374] Login and settings: Volunteer groups and local government officials log in to the device using a dedicated application and set up their activities.

[1375] Enter activity details: Enter details of the volunteer activity (reward points, activity content, etc.) and send them to the server.

[1376] Participation application and result transmission: Users apply to participate through the application, and after completing the activity, they send reports, photos, and emotional data to the server.

[1377] Information confirmation: The user checks his / her reward points, honor, and status in the terminal application.

[1378] User

[1379] The user does the following:

[1380] Registering profile information: When creating an account, you enter your name, contact information, areas of interest, etc. and send this information to the server.

[1381] Selecting and participating in activities: Select and participate in volunteer activities that interest you.

[1382] Sending activity results and emotional data: After the activity is completed, a report is created, photos are uploaded, and emotional data is recorded and sent to the server.

[1383] Check reward points: Check the reward points and feedback you have earned in the application.

[1384] Emotion Engine

[1385] The emotion engine has the following features:

[1386] Emotional data collection and analysis: Emotional data from users is collected periodically and changes during and after volunteer activities are analyzed.

[1387] Data reflection and feedback: The analysis results are reflected in the evaluation of volunteer activities and appropriate feedback is provided to users.

[1388] Specific examples

[1389] Below is the process of participating in elderly care assistance activities.

[1390] Users (volunteers):

[1391] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[1392] Example prompt: "I would like to participate in elderly care assistance activities."

[1393] 2. Carry out nursing care assistance activities.

[1394] 3. After the activity is completed, emotional data is recorded, a report is created, photos are uploaded, and the data is sent to the server.

[1395] Example prompt: "I have completed the caregiving assistance activity. I will upload my emotional data and photos."

[1396] server:

[1397] 1. The server receives reports, photos, and emotion data and stores them in a database.

[1398] 2. A generative AI model analyzes the report and photos and assigns a score.

[1399] 3. The emotion engine analyzes the emotion data and influences the score.

[1400] 4. Calculate reward points based on the score and add them to the user's account.

[1401] 5. Send a notification to the user that they have earned points.

[1402] Device:

[1403] 1. User opens the application and checks reward points and feedback.

[1404] Example prompt: "Check your reward points."

[1405] As described above, the present invention can efficiently evaluate and manage the results of volunteer activities and improve user satisfaction.

[1406] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1407] Step 1:

[1408] User Registration / Login

[1409] Input: A user enters profile information such as name, contact details, and interests into a form and submits it.

[1410] Output: Account information of the user registered on the server.

[1411] Specific operation: The user installs the dedicated application and enters the required information into the new registration form. After completing the entry, the user presses the submit button and the information is sent to the server. The server stores the received information in a database and creates a new user account.

[1412] Step 2:

[1413] Choosing a volunteer activity and applying to participate

[1414] Input: The user selects an activity of interest from the list of activities in the application and applies to participate.

[1415] Output: User participation application information saved on the server.

[1416] Specific operation: The user logs in to the application and selects an activity such as "elderly care assistance" from the list of activities. On the activity details screen, the user checks the location, date, and content, and clicks the "Apply to participate" button, which sends the details to the server. The server then saves the application information in a database.

[1417] Step 3:

[1418] Volunteer activities and emotional data collection

[1419] Input: A user participates in volunteer activities with a device. During the activity, the device collects emotional data (facial expressions, voice tone, etc.).

[1420] Output: Emotion data sent to the server.

[1421] Specific operation: The user volunteers at a designated date, time, and location. The device uses the built-in camera and microphone to analyze the user's facial expressions and tone of voice to collect emotional data in real time.

[1422] Step 4:

[1423] Activity results reporting and data transmission

[1424] Input: After completing an activity, the user creates a report, uploads photos and videos, and sends emotional data to the server.

[1425] Output: Activity reports, photos, videos, and emotion data received and stored on the server.

[1426] Specific operation: The user uses a dedicated form in the application to enter activity reports and upload photos and videos showing their activities. This information, along with the collected emotional data, is sent to the server. The server stores the received information in a database and prepares it for analysis.

[1427] Step 5:

[1428] Data analysis and evaluation using generative AI

[1429] Input: Activity reports, photos, videos, and emotion data received by the server.

[1430] Output: Score and evaluation results after being analyzed by the generative AI model.

[1431] How it works: The server passes the received reports, photos, and videos to a generative AI model (e.g., GPT-4). The generative AI model analyzes the data and assigns a score based on quality and completeness. At the same time, the emotion engine analyzes the emotion data and reflects the results in the score. The server stores the final evaluation results.

[1432] Step 6:

[1433] Reward point calculation and user notification

[1434] Input: Final evaluation results from generative AI and emotion engine.

[1435] Output: Reward points added to user's account, notification message.

[1436] Specific operation: The server calculates reward points based on the evaluation results and adds the points to the user's account. It also sends a push notification to the user with detailed reward point information and a notification that the points have been earned. The user can receive the notification on their device.

[1437] Step 7:

[1438] Check user feedback

[1439] Input: Reward points and evaluation results sent to the user from the server.

[1440] Output: An interface display to check feedback and reward points.

[1441] How it works: Users open the app and see feedback in the "Rewards" section based on their earned points, honor, status, and emotional data. Based on this feedback, users can be more motivated to volunteer next time.

[1442] (Application example 2)

[1443] 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."

[1444] Conventional volunteer activity evaluation systems have difficulty quantitatively evaluating the results of volunteer activities, resulting in inappropriate rewards and evaluations. Furthermore, because evaluations do not take into account the emotions and motivation of users during the activities, there are limitations to improving volunteer motivation. This creates challenges that hinder the quality of volunteer activities and inhibit continued participation.

[1445] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for converting points provided as a reward for volunteer activity, means for evaluating the results of the volunteer activity using a generation AI, means for granting reward points for volunteer activity to a user's account, means for notifying the user of the acquisition of reward points, means for recording and analyzing user emotion data, and means for adjusting reward points based on the emotion data. This makes it possible to appropriately evaluate the results of the volunteer activity and the user's emotions and grant reward points.

[1446] "Points" are a virtual currency or unit of value offered as a reward for volunteer work.

[1447] "Generative AI" is a model that uses artificial intelligence techniques to generate valuable information and insights from data.

[1448] "Emotion data" is information about the user's emotions and psychological state extracted from their facial expressions, voice, actions, etc.

[1449] A "server" is a computer system that processes, stores, and manages data.

[1450] "User" refers to any individual or organization that uses this system.

[1451] An "account" is a collection of information registered by a user in order to use the system.

[1452] "Reward points" are points that users receive for volunteer activities, and are awarded based on results and emotional data.

[1453] "Feedback" refers to advice and evaluation information provided by the system to the user, with the aim of improving the user's behavior and motivation.

[1454] "Evaluation criteria" are standards for evaluating the results and quality of volunteer activities, and are set by the generating AI.

[1455] "Motivation" refers to the motivation or drive that keeps a user participating in volunteer activities.

[1456] System Overview

[1457] A system for implementing the present invention comprises the following major components:

[1458] 1. Server

[1459] 2. Terminal

[1460] 3. Users

[1461] 4. Emotion Engine

[1462] Server Features

[1463] The server performs the following functions:

[1464] Convert reward points for volunteer work.

[1465] Using generative AI to evaluate the results of volunteer activities.

[1466] Volunteer reward points are added to the user's account.

[1467] Notify the user when reward points are earned.

[1468] Record and analyze user emotion data.

[1469] Adjust reward points based on sentiment data.

[1470] Specifically, the server is developed using the Flask framework. The generative AI model module is used to analyze task completion status and emotion data and make evaluations. The emotion engine module analyzes user emotion data and adjusts reward points based on the results.

[1471] Device Features

[1472] A terminal is a device that is directly used by a user, such as a smartphone or tablet. A terminal has the following functions:

[1473] It provides an interface for users to input activity details and emotion data.

[1474] A camera is used to capture the user's facial expressions and generate emotion data.

[1475] Displays the results analyzed by generative AI and emotion engine.

[1476] For example, workers can use their smartphones to input their emotional data and work details after completing a task. The smartphone app then transmits this data to a server, providing an interface for receiving reward points and feedback.

[1477] User operations

[1478] The user operates the system as follows:

[1479] 1. Log in to the smartphone app and enter your volunteer activity details.

[1480] 2. Use a camera to capture emotional data.

[1481] 3. The entered activity details and emotion data are sent to the server.

[1482] 4. Check your reward points and feedback.

[1483] For example, a factory worker can log in to the app after finishing work, type "Today's work is finished. I feel very fulfilled," and take a photo of their facial expression with their smartphone camera. The server analyzes this data and notifies the worker of reward points and feedback.

[1484] The role of the emotional engine

[1485] The emotion engine analyzes the user's emotions based on the image data received from the device, and the analysis results are sent to the generation AI and used to adjust the additional reward points.

[1486] Specific examples

[1487] Examples of specific prompts include:

[1488] Good job! Please enter the details of today's task. Then, use the camera to capture your facial expression. Based on the entered task status and facial expression data, we will calculate a score and award you points. We will also provide feedback, so please check it.

[1489] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1490] Step 1:

[1491] Users log in to the smartphone app and enter details of their volunteer activities. Specifically, users enter the details of the day's tasks and their self-evaluation in text format into the app, and the input data is sent to the server. The input data includes the task name, the details performed, the time required, and their self-evaluation.

[1492] Step 2:

[1493] Users capture their facial expressions using their smartphone camera, and the app sends this image data to an emotion engine that generates the user's emotional data. This process uses a facial expression analysis algorithm to extract emotions such as smile, sadness, and surprise.

[1494] Step 3:

[1495] The device sends the entered activity details and captured emotion data to the server, which receives and stores these data in a database, at which point the server checks the consistency and completeness of the received data.

[1496] Step 4:

[1497] The server analyzes the received activity details and emotion data using a generative AI model. The generative AI model evaluates the activity details and calculates an appropriate score. It also adjusts the score based on the emotion data received from the emotion engine. The analysis results are stored on the server.

[1498] Step 5:

[1499] The server calculates reward points based on the analysis results and adds them to the user's account. The points are calculated based on the score calculated by the generative AI model and emotion data. The calculated points are stored in a database and added to the user's account.

[1500] Step 6:

[1501] The server notifies the user of the reward point acquisition status and feedback. Specifically, it sends a push notification to the smartphone app so that the user can check the number of points and feedback within the app. The notification content includes the number of points acquired and feedback from the generation AI and emotion engine.

[1502] Step 7:

[1503] Users can open the smartphone app to check the reward points they have earned and the feedback they have received. Users can check their point balance and receive feedback based on their emotional data, which can be reflected in their next and subsequent activities. This feedback helps to increase the user's motivation and improve the quality of their activities.

[1504] 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.

[1505] 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.

[1506] 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.

[1507] [Fourth embodiment]

[1508] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1509] 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.

[1510] 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).

[1511] 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.

[1512] 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.

[1513] 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).

[1514] 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.

[1515] 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.

[1516] 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.

[1517] 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.

[1518] 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.

[1519] 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.

[1520] 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."

[1521] The present invention provides a system for efficiently managing rewards and evaluations for volunteer activities. This system includes a means for converting points into rewards for volunteer activities and evaluating the points using a point generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user.

[1522] System Configuration

[1523] This system consists of three main components: a server, a terminal, and a user.

[1524] 1. Server

[1525] The server has the following features:

[1526] Create an account for each volunteer organization, local government, and system provider and register authentication information.

[1527] Set up a generative AI model and register the evaluation criteria for volunteer activities in a database.

[1528] The activity results received from users are analyzed and scored using generative AI.

[1529] Based on the score, reward points are calculated and added to the user's account.

[1530] Send the user reward point details and reward point acquisition notifications.

[1531] 2. Terminal

[1532] The terminals are used by volunteer groups, local government officials, and users. Their main functions are as follows:

[1533] Volunteer groups and local government officials log in and set up the system using a dedicated application.

[1534] Enter details of your volunteer activity (reward points, activity details, etc.) and send them to the server.

[1535] Users register on a dedicated application and apply to participate in volunteer activities.

[1536] Users use their devices to send activity results (reports, photos, videos) to the server.

[1537] Users can check their points balance, earned honor, and status using the application on their device.

[1538] 3. Users

[1539] Using this system, users can:

[1540] Register for the application and enter your profile information.

[1541] Choose a volunteer activity you would like to participate in and participate in it.

[1542] After completing the activity, the activity results are entered into the application and sent to the server.

[1543] See the reward points you've earned and get notified.

[1544] Specific examples

[1545] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[1546] Users (volunteers):

[1547] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[1548] 2. Participate in activities and perform nursing care assistance duties.

[1549] 3. After completing the activity, use the application to create a report and upload photos.

[1550] server:

[1551] 1. The server receives the report and photos sent by the user.

[1552] 2. A generative AI model analyzes the report and photos and assigns a score.

[1553] 3. Calculate 100 points based on the score and add them to the user's account.

[1554] 4. Send a notification to the user that they have earned points.

[1555] Device:

[1556] 1. The user opens the application and sees that they have earned 100 points.

[1557] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation and contributes to the revitalization of volunteer activities.

[1558] The processing flow will be explained below.

[1559] Step 1:

[1560] server:

[1561] Create accounts for local governments and volunteer organizations and register their respective authentication information.

[1562] Step 2:

[1563] Device:

[1564] A volunteer organization representative logs into a dedicated application, enters details of the volunteer activity (e.g., activity date and time, number of people recruited, reward points, etc.), and sends them to the server.

[1565] Step 3:

[1566] server:

[1567] The server stores the received volunteer activity details in a database and displays them in the application in a user-viewable format.

[1568] Step 4:

[1569] User:

[1570] A user registers with the application and enters profile information (e.g., name, contact information, areas of interest, etc.).

[1571] Step 5:

[1572] server:

[1573] The server receives the user's profile information and stores it in a database. The server provides the user with a list of volunteer activities.

[1574] Step 6:

[1575] User:

[1576] Users select the volunteer activity they would like to participate in on the application and submit their application.

[1577] Step 7:

[1578] server:

[1579] The server receives the user's participation request, notifies the volunteer organization, and records the user's participation status in their account.

[1580] Step 8:

[1581] Device:

[1582] Volunteer groups will divide up roles and prepare necessary items before the scheduled date of the activity, and will be ready to carry out the activity.

[1583] Step 9:

[1584] User:

[1585] Users participate in volunteer activities at the designated date and time, and after completing the activities, they record photos and videos on their devices to create a report.

[1586] Step 10:

[1587] User:

[1588] After completing an activity, users use the application to create a report and upload photos and videos as evidence, which is then sent to the server.

[1589] Step 11:

[1590] server:

[1591] The server receives the reports, photos and videos and stores them in a database.

[1592] Step 12:

[1593] server:

[1594] The received activity data is sent to the generation AI, which analyzes the activity data and assigns a score based on the evaluation criteria.

[1595] Step 13:

[1596] Generation AI:

[1597] The generating AI analyzes the volunteer activity reports, calculates a score, and sends the results back to the server.

[1598] Step 14:

[1599] server:

[1600] The server calculates reward points based on the score received from the generation AI and credits the points to the user's account.

[1601] Step 15:

[1602] server:

[1603] The server notifies the user of the result of point allocation.

[1604] Step 16:

[1605] User:

[1606] Users open the application to view the reward points, honor, and status they have earned.

[1607] This series of processing steps allows for efficient management of volunteer activities from participation to reward provision, thereby realizing a system that improves user motivation.

[1608] Example 1

[1609] 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."

[1610] In conventional volunteer activities, there was no system to properly evaluate the results of activities and provide rewards based on the results. This resulted in a decline in the motivation of people participating in volunteer activities, making it difficult to contribute to the revitalization of activities. In addition, there were few means to fairly and efficiently evaluate the results of activities, which could lead to a sense of unfairness in the distribution of rewards.

[1611] 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.

[1612] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generative AI, a means for adding reward points for volunteer activities to a user's account, a means for notifying the user of the acquisition of reward points, a means for receiving and analyzing the user's reports and media, a means for scoring based on evaluation criteria using a generative AI model, and a means for calculating reward points based on the scores. This makes it possible to fairly and efficiently evaluate the results of volunteer activities and appropriately award rewards based on the results.

[1613] "Points" are a numerical value provided as a reward for volunteer work.

[1614] "Generative AI" is a technology that uses artificial intelligence models to analyze data and make evaluations and predictions.

[1615] "Evaluation criteria" refers to specific items and indicators used to evaluate the results of volunteer activities.

[1616] A "score" is an evaluation point given by the generative AI model to the results of volunteer activities.

[1617] "Reward Points" are points calculated based on the score generated by the generative AI model and awarded to a user's account.

[1618] "Notifications" are messages that inform users about earning reward points or important information from the system.

[1619] "Media" refers to information such as photos and videos used to record and communicate the results of activities.

[1620] A "database" is a system for efficiently storing and managing various types of information and data.

[1621] "Interface" refers to the screens and operating means through which users interact with the system.

[1622] The present invention provides a system for efficiently managing rewards and evaluations for volunteer activities. This system includes a means for converting points into rewards for volunteer activities and evaluating the points using a point generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user.

[1623] System Configuration

[1624] This system consists of three main components: a server, a terminal, and a user.

[1625] 1. Server

[1626] The server first creates accounts for each volunteer group, local government, and system provider, and registers their authentication information.

[1627] The server sets up a generative AI model and registers the evaluation criteria for volunteer activities in a database.

[1628] The server analyzes the activity results received from the user and performs scoring using a generation AI.

[1629] The server calculates reward points based on the score and adds them to the user's account.

[1630] The server will send the user details of the reward points and a notification of the points earned.

[1631] Specific hardware includes a powerful processor, sufficient memory capacity, and a database management system, while software includes a generative AI model, a database management system, and a notification system.

[1632] 2. Terminal

[1633] The terminals are intended for use by volunteer groups, local government officials, and users, and are provided with dedicated applications.

[1634] The terminals provide a means for volunteer groups and local government officials to log in and configure their activities, enter details of their activities, and send them to a server.

[1635] The terminal provides a means for users to register with a dedicated application and apply to participate in an activity.

[1636] The terminal provides a means for the user to send activity results (reports, photos, videos) to the server.

[1637] The terminal provides an interface for users to check their points balance, earned honor, and status.

[1638] Specific hardware includes electronic devices such as smartphones, tablets, and computers, while software includes dedicated mobile and web applications.

[1639] 3. Users

[1640] A user registers with the application and enters profile information.

[1641] Users choose the volunteer activity they want to participate in and participate in it.

[1642] After completing an activity, the user inputs the activity results into the application and sends them to the server.

[1643] Users will see the points they have earned as rewards and receive notifications.

[1644] Specific examples

[1645] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[1646] Users (volunteers):

[1647] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[1648] 2. Participate in activities and perform nursing care assistance duties.

[1649] 3. After completing the activity, use the application to create a report and upload photos.

[1650] server:

[1651] 1. The server receives the report and photos sent by the user.

[1652] 2. A generative AI model analyzes the report and photos and assigns a score.

[1653] 3. Calculate 100 points based on the score and add them to the user's account.

[1654] 4. Send a notification to the user that they have earned points.

[1655] Device:

[1656] 1. The user opens the application and sees that they have earned 100 points.

[1657] Prompt Sentence Examples

[1658] Analyze volunteer reports and photos and score them using a generative AI model. Provide the following information:

[1659] Activity name: Elderly care assistance

[1660] Activities: General nursing care support work

[1661] Report: Describes that the nursing care assistance work has been completed and completed successfully

[1662] Photo: Photograph of nursing care assistance

[1663] Throughout the system, each component works in cooperation to ensure fair evaluation and notification of rewards to users, thereby stimulating volunteer activities and improving the motivation of participants.

[1664] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1665] Step 1:

[1666] The user launches a dedicated application and enters the required profile information into a new registration form. The entered information (name, email address, password, etc.) is sent to the server via the device. The server registers the received data in a database, generates authentication information, and returns it. The output is the initialized user account information.

[1667] Step 2:

[1668] The user enters authentication information on the login screen and logs into the system. The entered authentication information (user ID, password) is sent to the server via the terminal. The server verifies it against the information in the database, and if authentication is successful, displays the dashboard. The output is a message indicating whether the login was successful or failed.

[1669] Step 3:

[1670] The user selects an activity they wish to participate in (e.g., "assisting elderly care") from a list of volunteer activities provided within the application. The device retrieves detailed information about the selected activity from the server and displays it to the user. The output is detailed information about the selected activity.

[1671] Step 4:

[1672] The user applies for participation by pressing the "Apply for Participation" button on the details page of the selected activity. The application information (activity name, user ID, desired date and time, etc.) is sent to the server via the terminal. The server accepts the application and records it in the database. The output is a message indicating that the application has been completed.

[1673] Step 5:

[1674] After completing an activity, the user goes to the activity report section in the application and enters a report describing the activity. Along with the report, they also upload photos and videos of the activity. This data (report, photos, videos) is sent to the server via the device. The server stores the received data in a database. The output is a message confirming receipt and the stored data.

[1675] Step 6:

[1676] The server extracts the received reports and media files from the database and inputs them into the generative AI model. The input data is reports, photos, and videos. The generative AI model analyzes this data and generates a score to evaluate the quality of volunteer activities. The output is a score as a result of the analysis.

[1677] Step 7:

[1678] The server calculates the reward points to be awarded to the user based on the score obtained from the generative AI model. The input is the score from the generative AI model, and the calculated reward points are updated in the user's account information. The output is the updated user account information.

[1679] Step 8:

[1680] The server generates a message to notify the user of the reward points and sends it to the terminal application. The input is the reward points information and the output is the notification message. The user receives the notification and confirms that the points have been updated.

[1681] Step 9:

[1682] The user opens the application and checks the points earned in their account information section. The input is the user account information, and the output is the displayed points balance, honors, and status details.

[1683] (Application example 1)

[1684] 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."

[1685] Volunteer activities as part of social contribution activities and efficient work in factories are becoming increasingly important. However, there was no way to properly evaluate the results of these activities and work and provide fair rewards to the users and robots who participated. Furthermore, managing evaluations and rewards was complicated and prone to manual errors. Therefore, a system to solve these issues was needed.

[1686] 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.

[1687] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generation AI, a means for evaluating the efficiency and accuracy of a robot performing a specific task in a factory, a means for adding reward points for the volunteer activities and robot work to a user's account, and a means for notifying the user of the acquisition of reward points, thereby enabling efficient evaluation and reward management of volunteer activities and robot work in a factory.

[1688] "Volunteer activities" are activities undertaken without compensation for the purpose of contributing to society.

[1689] "Reward points" are points with convertible value that are awarded for volunteer activities or robotic work results.

[1690] "Generative AI" is a system that uses artificial intelligence technology to analyze and evaluate data.

[1691] "Means for evaluating results" refers to a method that uses generative AI to judge the results of activities or tasks and assign a score.

[1692] A "robot" is a machine that performs work under automatic control and is responsible for specific tasks within a factory.

[1693] "Efficiency" is a measure of achieving maximum results using a given amount of resources.

[1694] "Accuracy" is a measure of whether a task or activity is performed as expected.

[1695] "User" refers to the entity that uses the system, and is a concept that includes volunteer participants and factory managers.

[1696] An "account" is a set of data to which a user has rights to access the system.

[1697] "Notification means" refers to a method for conveying information to a user, and may use a message or an application.

[1698] "Evaluation criteria" are indicators used to set benchmarks when evaluating volunteer activities and robot work.

[1699] An "interface" is an operation screen or tool that allows a user to directly interact with a system.

[1700] This invention provides a system for efficiently managing the evaluation and reward of volunteer activities and factory robot work. This system is mainly composed of three elements: a server, a terminal, and a user.

[1701] server

[1702] The server has the following features:

[1703] Create accounts for each volunteer group, factory manager, and system provider and register authentication information.

[1704] A generative AI model is set up and evaluation criteria for volunteer activities and robot work are registered in a database.

[1705] The activity results received from volunteers and robots are analyzed and scored using generative AI.

[1706] Based on the score, reward points are calculated and added to the user's account.

[1707] Send the user reward point details and reward point acquisition notifications.

[1708] Terminal

[1709] The terminals are intended for use by volunteer groups, factory managers, volunteers, and robots. Their main functions are:

[1710] Volunteer groups and factory managers log in and set up the system using a dedicated application.

[1711] Enter details of volunteer activities and factory work (reward points, activity details, etc.) and send them to the server.

[1712] Volunteers and factory robots register with a dedicated application and report their activities and work results.

[1713] Volunteers and factory managers can check their points balance, earned honor, and status using the terminal application.

[1714] User

[1715] Using this system, users can:

[1716] Register for the application and enter your profile information.

[1717] Choose the volunteer activities or factory work you would like to participate in and take part in the activities or work.

[1718] After completing an activity or task, the results are entered into the application and sent to the server.

[1719] See the reward points you've earned and get notified.

[1720] Specific examples

[1721] As a concrete example, let us look at a work evaluation system for a factory robot. Let's say a robot assembling electronic components in a factory completes its work with a certain level of accuracy and speed. In this case, a generative AI is used to create the following prompt sentence and evaluate it:

[1722] "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Errors: 1"

[1723] This data is sent to a generative AI model, which evaluates the robot's performance and calculates reward points based on the score. The calculated points are added to the robot's account and reported to managers through notification methods. This system enables efficient evaluation and reward management of volunteer activities and robot work in factories.

[1724] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1725] Step 1:

[1726] The terminal receives activity and work results from users or factory robots. Specifically, volunteer activity reports and factory work data (e.g., "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Number of errors: 1") are input. This allows initial data to be collected.

[1727] Step 2:

[1728] The terminal sends the received activity results and work results to the server. At this time, the data format is checked and, if necessary, appropriate data processing (e.g., data format conversion, removal of invalid data) is performed so that the server can accurately analyze it. The output is the processed data.

[1729] Step 3:

[1730] The server receives the data sent from the device. It analyzes the received data and generates a prompt to input into the generative AI model. For example, it converts the prompt into a format such as "Task: Assembly, Accuracy: 98%, Time: 105 seconds, Number of errors: 1." This prepares the data to be evaluated.

[1731] Step 4:

[1732] The server uses a generative AI model to evaluate prompt sentences. The prompt sentence is input into the generative AI model, and an evaluation score is output. Data calculation involves evaluating and scoring the results of activities and tasks based on the input data. The output is an evaluation score.

[1733] Step 5:

[1734] The server calculates reward points based on the evaluation score, and calculates the specific number of points using a reward point conversion table according to the score, thereby obtaining the points as numerical data.

[1735] Step 6:

[1736] The server adds the calculated reward points to the user's account, merges the points data with the user's account information, and updates the account's points balance. The output is the updated account data.

[1737] Step 7:

[1738] The server notifies the user of the reward points earned. Specific notification methods include in-app messages, emails, push notifications, etc. The notification includes detailed information about the earned points. The output is the notification message sent to the user.

[1739] Step 8:

[1740] The user uses the terminal to check their point balance, earned honor, and status. The point information is displayed through the application interface, allowing the user to check the reward details. The output is the updated information on the user's display screen.

[1741] As a result, this system can efficiently evaluate and manage rewards for volunteer activities and robotic work in factories.

[1742] 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.

[1743] This invention provides a system that efficiently manages rewards and evaluations for volunteer activities and combines it with an emotion engine that recognizes and analyzes user emotions. This system includes a means for converting reward points for volunteer activities and evaluating those points using a generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user. Furthermore, by combining it with an emotion engine that recognizes and analyzes user emotions, the quality of volunteer activities and the user experience are improved.

[1744] System Configuration

[1745] The system consists of four main components: a server, a terminal, a user, and an emotion engine.

[1746] 1. Server

[1747] The server has the following features:

[1748] Create an account for each volunteer organization, local government, and system provider and register authentication information.

[1749] Set up a generative AI model and register the evaluation criteria for volunteer activities in a database.

[1750] The activity results received from users are analyzed and scored using generative AI.

[1751] Based on the score, reward points are calculated and added to the user's account.

[1752] Send the user reward point details and reward point acquisition notifications.

[1753] The emotional data received from the emotion engine is stored in a database, and the reward points are adjusted taking into account the analysis results.

[1754] 2. Terminal

[1755] The terminals are used by volunteer groups, local government officials, and users. Their main functions are as follows:

[1756] Volunteer groups and local government officials log in and set up the system using a dedicated application.

[1757] Enter details of your volunteer activity (reward points, activity details, etc.) and send them to the server.

[1758] Users register on a dedicated application and apply to participate in volunteer activities.

[1759] Users use their devices to send activity results (reports, photos, videos) to the server.

[1760] Users can check their point balance, earned honor, and status using the application on their device.

[1761] Collect user emotion data and send it to the server.

[1762] 3. Users

[1763] Using this system, users can:

[1764] Register for the application and enter your profile information (name, contact information, areas of interest, etc.).

[1765] Choose a volunteer activity you would like to participate in and participate in it.

[1766] After completing the activity, the activity results are entered into the application and sent to the server.

[1767] See the reward points you've earned and get notified.

[1768] Emotional data is collected through the device and sent to the server.

[1769] 4. Emotion Engine

[1770] The emotion engine has the following functions:

[1771] Users' emotional data is collected periodically and emotional changes during and after volunteer activities are analyzed.

[1772] Adjust reward points and provide appropriate feedback based on sentiment data.

[1773] Specific examples

[1774] Here, we present a concrete example of the process of participating in elderly care assistance activities.

[1775] Users (volunteers):

[1776] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[1777] 2. Participate in activities and perform nursing care assistance duties.

[1778] 3. After the activity is completed, the user records the emotional data using the device, creates a report, uploads the photos, and then sends the report to the server.

[1779] server:

[1780] 1. The server receives the reports, photos, and emotion data sent by the user and stores them in a database.

[1781] 2. A generative AI model analyzes the report and photos and assigns a score.

[1782] 3. The emotion engine analyzes the emotion data and influences the score.

[1783] 4. Calculate reward points based on the score and add them to the user's account.

[1784] 5. Send a notification to the user that they have earned points.

[1785] Device:

[1786] 1. The user opens the application and sees feedback based on the reward points earned, prestige, status, and emotional data.

[1787] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation, contributes to the revitalization of volunteer activities, and provides more advanced evaluation and feedback that takes into account changes in the user's emotions.

[1788] The processing flow will be explained below.

[1789] Step 1:

[1790] server:

[1791] Create accounts for local governments and volunteer organizations and register their respective authentication information.

[1792] Step 2:

[1793] Device:

[1794] A volunteer organization representative logs into a dedicated application, enters details of the volunteer activity (e.g., activity date and time, number of people recruited, reward points, etc.), and sends them to the server.

[1795] Step 3:

[1796] server:

[1797] The server stores the received volunteer activity details in a database and displays them in the application in a user-viewable format.

[1798] Step 4:

[1799] User:

[1800] A user registers with the application and enters profile information (e.g., name, contact information, areas of interest, etc.).

[1801] Step 5:

[1802] server:

[1803] The server receives the user's profile information and stores it in a database. The server provides the user with a list of volunteer activities.

[1804] Step 6:

[1805] User:

[1806] Users select the volunteer activity they would like to participate in on the application and submit their application.

[1807] Step 7:

[1808] server:

[1809] The server receives the user's participation request, notifies the volunteer organization, and records the user's participation status in their account.

[1810] Step 8:

[1811] Device:

[1812] Volunteer groups will divide up roles and prepare necessary items before the scheduled date of the activity, and will be ready to carry out the activity.

[1813] Step 9:

[1814] User:

[1815] Users participate in volunteer activities at designated times and record emotional data on their devices during and after the activities.

[1816] Step 10:

[1817] Device:

[1818] The device periodically collects the user's emotional data and transmits it to the server.

[1819] Step 11:

[1820] User:

[1821] After completing the activity, the user uses the device to write a report and upload photos and videos as evidence, which are then sent to the server.

[1822] Step 12:

[1823] server:

[1824] The server receives the reports, photos, and videos and stores them in a database, along with the emotional data.

[1825] Step 13:

[1826] server:

[1827] The received activity data and emotion data are sent to the generation AI, which analyzes the activity data and emotion data and assigns a score based on the evaluation criteria.

[1828] Step 14:

[1829] Generation AI:

[1830] The generating AI analyzes the volunteer activity report and emotional data, calculates a score, and sends the results back to the server.

[1831] Step 15:

[1832] server:

[1833] Based on the score received from the generation AI, the server adjusts the reward points taking into account the analysis results of the emotion engine and awards the points to the user's account.

[1834] Step 16:

[1835] server:

[1836] The server notifies the user of the result of point allocation.

[1837] Step 17:

[1838] User:

[1839] Users open the app to see the reward points they have earned and the points they have adjusted based on their feedback and sentiment data.

[1840] As described above, the volunteer evaluation and reward system of the present invention improves volunteer motivation, contributes to the revitalization of volunteer activities, and provides advanced evaluation and feedback that takes into account changes in the user's emotions.

[1841] Example 2

[1842] 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."

[1843] In conventional volunteer activities, the evaluation of results and the awarding of rewards are complicated, making it difficult to evaluate based on unified standards. In addition, there is a lack of feedback and sentiment analysis methods to maximize volunteer motivation. This has made it difficult to sufficiently improve the quality of volunteer activities and participant satisfaction.

[1844] 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.

[1845] In this invention, the server includes a means for converting points provided as a reward for volunteer activities, a means for evaluating the results of the volunteer activities using a generation AI, a means for adding reward points for volunteer activities to a user's account, a means for notifying the user of the acquisition of reward points, a means for analyzing the user's emotional data using an emotion engine and adjusting the reward points, and a means for collecting the user's emotional data and transmitting it to the server. This makes it possible to provide evaluations and feedback that take the user's emotions into consideration, thereby improving the quality of volunteer activities and the satisfaction of participants.

[1846] "Volunteer activities" refers to a variety of activities carried out without compensation for the public good.

[1847] "Reward points" refers to convertible points awarded to users based on the results of their volunteer activities.

[1848] "Generative AI" refers to an artificial intelligence model that uses natural language processing and other techniques to analyze and evaluate data.

[1849] "User" refers to an individual or organization who uses this system to participate in volunteer activities and earn reward points.

[1850] "Emotion data" refers to data that indicates the user's emotional state during and after an activity.

[1851] An "emotion engine" refers to a software engine that analyzes users' emotional data and reflects the results in evaluations and reward points.

[1852] "Server" refers to a computer system for storing, analyzing, and processing data.

[1853] "Account" refers to registration data that manages user information for accessing the system.

[1854] "Database" refers to an information storage system for systematically storing and managing information used within a system.

[1855] "Interface" refers to the operation screen and input device used by the user when using the system.

[1856] "Evaluation criteria" refers to the indicators and rules that serve as the basis for evaluating the results of volunteer activities.

[1857] "Notification" refers to the act of transmitting information such as reward points and evaluation results from the system to the user.

[1858] The present invention provides a system that efficiently manages rewards and evaluations for volunteer activities and combines it with an emotion engine that recognizes and analyzes user emotions. This system includes a means for converting reward points for volunteer activities and evaluating those points using a generation AI. It also includes a means for adding reward points to a user's account based on the evaluation results and notifying the user. Furthermore, by combining it with an emotion engine that recognizes and analyzes user emotions, the quality of volunteer activities and the user experience can be improved.

[1859] System Configuration

[1860] The system consists of four main components: a server, a terminal, a user, and an emotion engine.

[1861] server

[1862] The server has the following features:

[1863] Account creation and authentication: Create accounts for each volunteer organization, local government, and system provider, and manage authentication information. For example, secure account management using cloud services.

[1864] Setting up a generative AI model: Using a natural language processing model (e.g., GPT-4), register the evaluation criteria for volunteer activities in a database.

[1865] Data analysis and scoring: The activity results sent by the user are analyzed and scored by the generation AI. For example, reports and photos are analyzed and evaluated by the generation AI.

[1866] Reward points calculation and notification: Calculate reward points based on the score given and add them to the user's account. Notify the user of the details.

[1867] Emotion data analysis: The emotional data received from the emotion engine is stored in a database, and the analysis results are reflected in the score.

[1868] Terminal

[1869] The devices are intended for use by volunteer groups, local government officials, and users, and have the following functions via a dedicated application:

[1870] Login and settings: Volunteer groups and local government officials log in to the device using a dedicated application and set up their activities.

[1871] Enter activity details: Enter details of the volunteer activity (reward points, activity content, etc.) and send them to the server.

[1872] Participation application and result transmission: Users apply to participate through the application, and after completing the activity, they send reports, photos, and emotional data to the server.

[1873] Information confirmation: The user checks his / her reward points, honor, and status in the terminal application.

[1874] User

[1875] The user does the following:

[1876] Registering profile information: When creating an account, you enter your name, contact information, areas of interest, etc. and send this information to the server.

[1877] Selecting and participating in activities: Select and participate in volunteer activities that interest you.

[1878] Sending activity results and emotional data: After the activity is completed, a report is created, photos are uploaded, and emotional data is recorded and sent to the server.

[1879] Check reward points: Check the reward points and feedback you have earned in the application.

[1880] Emotion Engine

[1881] The emotion engine has the following features:

[1882] Emotional data collection and analysis: Emotional data from users is collected periodically and changes during and after volunteer activities are analyzed.

[1883] Data reflection and feedback: The analysis results are reflected in the evaluation of volunteer activities and appropriate feedback is provided to users.

[1884] Specific examples

[1885] Below is the process of participating in elderly care assistance activities.

[1886] Users (volunteers):

[1887] 1. The user logs into the application and selects the "Elderly Care Assistance" activity.

[1888] Example prompt: "I would like to participate in elderly care assistance activities."

[1889] 2. Carry out nursing care assistance activities.

[1890] 3. After the activity is completed, emotional data is recorded, a report is created, photos are uploaded, and the data is sent to the server.

[1891] Example prompt: "I have completed the caregiving assistance activity. I will upload my emotional data and photos."

[1892] server:

[1893] 1. The server receives reports, photos, and emotion data and stores them in a database.

[1894] 2. A generative AI model analyzes the report and photos and assigns a score.

[1895] 3. The emotion engine analyzes the emotion data and influences the score.

[1896] 4. Calculate reward points based on the score and add them to the user's account.

[1897] 5. Send a notification to the user that they have earned points.

[1898] Device:

[1899] 1. User opens the application and checks reward points and feedback.

[1900] Example prompt: "Check your reward points."

[1901] As described above, the present invention can efficiently evaluate and manage the results of volunteer activities and improve user satisfaction.

[1902] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1903] Step 1:

[1904] User Registration / Login

[1905] Input: A user enters profile information such as name, contact details, and interests into a form and submits it.

[1906] Output: Account information of the user registered on the server.

[1907] Specific operation: The user installs the dedicated application and enters the required information into the new registration form. After completing the entry, the user presses the submit button and the information is sent to the server. The server stores the received information in a database and creates a new user account.

[1908] Step 2:

[1909] Choosing a volunteer activity and applying to participate

[1910] Input: The user selects an activity of interest from the list of activities in the application and applies to participate.

[1911] Output: User participation application information saved on the server.

[1912] Specific operation: The user logs in to the application and selects an activity such as "elderly care assistance" from the list of activities. On the activity details screen, the user checks the location, date, and content, and clicks the "Apply to participate" button, which sends the details to the server. The server then saves the application information in a database.

[1913] Step 3:

[1914] Volunteer activities and emotional data collection

[1915] Input: A user participates in volunteer activities with a device. During the activity, the device collects emotional data (facial expressions, voice tone, etc.).

[1916] Output: Emotion data sent to the server.

[1917] Specific operation: The user volunteers at a designated date, time, and location. The device uses the built-in camera and microphone to analyze the user's facial expressions and tone of voice to collect emotional data in real time.

[1918] Step 4:

[1919] Activity results reporting and data transmission

[1920] Input: After completing an activity, the user creates a report, uploads photos and videos, and sends emotional data to the server.

[1921] Output: Activity reports, photos, videos, and emotion data received and stored on the server.

[1922] Specific operation: The user uses a dedicated form in the application to enter activity reports and upload photos and videos showing their activities. This information, along with the collected emotional data, is sent to the server. The server stores the received information in a database and prepares it for analysis.

[1923] Step 5:

[1924] Data analysis and evaluation using generative AI

[1925] Input: Activity reports, photos, videos, and emotion data received by the server.

[1926] Output: Score and evaluation results after being analyzed by the generative AI model.

[1927] How it works: The server passes the received reports, photos, and videos to a generative AI model (e.g., GPT-4). The generative AI model analyzes the data and assigns a score based on quality and completeness. At the same time, the emotion engine analyzes the emotion data and reflects the results in the score. The server stores the final evaluation results.

[1928] Step 6:

[1929] Reward point calculation and user notification

[1930] Input: Final evaluation results from generative AI and emotion engine.

[1931] Output: Reward points added to user's account, notification message.

[1932] Specific operation: The server calculates reward points based on the evaluation results and adds the points to the user's account. It also sends a push notification to the user with detailed reward point information and a notification that the points have been earned. The user can receive the notification on their device.

[1933] Step 7:

[1934] Check user feedback

[1935] Input: Reward points and evaluation results sent to the user from the server.

[1936] Output: An interface display to check feedback and reward points.

[1937] How it works: Users open the app and see feedback in the "Rewards" section based on their earned points, honor, status, and emotional data. Based on this feedback, users can be more motivated to volunteer next time.

[1938] (Application example 2)

[1939] 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."

[1940] Conventional volunteer activity evaluation systems have difficulty quantitatively evaluating the results of volunteer activities, resulting in inappropriate rewards and evaluations. Furthermore, because evaluations do not take into account the emotions and motivation of users during the activities, there are limitations to improving volunteer motivation. This creates challenges that hinder the quality of volunteer activities and inhibit continued participation.

[1941] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for converting points provided as a reward for volunteer activity, means for evaluating the results of the volunteer activity using a generation AI, means for granting reward points for volunteer activity to a user's account, means for notifying the user of the acquisition of reward points, means for recording and analyzing user emotion data, and means for adjusting reward points based on the emotion data. This makes it possible to appropriately evaluate the results of the volunteer activity and the user's emotions and grant reward points.

[1942] "Points" are a virtual currency or unit of value offered as a reward for volunteer work.

[1943] "Generative AI" is a model that uses artificial intelligence techniques to generate valuable information and insights from data.

[1944] "Emotion data" is information about the user's emotions and psychological state extracted from their facial expressions, voice, actions, etc.

[1945] A "server" is a computer system that processes, stores, and manages data.

[1946] "User" refers to any individual or organization that uses this system.

[1947] An "account" is a collection of information registered by a user in order to use the system.

[1948] "Reward points" are points that users receive for volunteer activities, and are awarded based on results and emotional data.

[1949] "Feedback" refers to advice and evaluation information provided by the system to the user, with the aim of improving the user's behavior and motivation.

[1950] "Evaluation criteria" are standards for evaluating the results and quality of volunteer activities, and are set by the generating AI.

[1951] "Motivation" refers to the motivation or drive that keeps a user participating in volunteer activities.

[1952] System Overview

[1953] A system for implementing the present invention comprises the following major components:

[1954] 1. Server

[1955] 2. Terminal

[1956] 3. Users

[1957] 4. Emotion Engine

[1958] Server Features

[1959] The server performs the following functions:

[1960] Convert reward points for volunteer work.

[1961] Using generative AI to evaluate the results of volunteer activities.

[1962] Volunteer reward points are added to the user's account.

[1963] Notify the user when reward points are earned.

[1964] Record and analyze user emotion data.

[1965] Adjust reward points based on sentiment data.

[1966] Specifically, the server is developed using the Flask framework. The generative AI model module is used to analyze task completion status and emotion data and make evaluations. The emotion engine module analyzes user emotion data and adjusts reward points based on the results.

[1967] Device Features

[1968] A terminal is a device that is directly used by a user, such as a smartphone or tablet. A terminal has the following functions:

[1969] It provides an interface for users to input activity details and emotion data.

[1970] A camera is used to capture the user's facial expressions and generate emotion data.

[1971] Displays the results analyzed by generative AI and emotion engine.

[1972] For example, workers can use their smartphones to input their emotional data and work details after completing a task. The smartphone app then transmits this data to a server, providing an interface for receiving reward points and feedback.

[1973] User operations

[1974] The user operates the system as follows:

[1975] 1. Log in to the smartphone app and enter your volunteer activity details.

[1976] 2. Use a camera to capture emotional data.

[1977] 3. The entered activity details and emotion data are sent to the server.

[1978] 4. Check your reward points and feedback.

[1979] For example, a factory worker can log in to the app after finishing work, type "Today's work is finished. I feel very fulfilled," and take a photo of their facial expression with their smartphone camera. The server analyzes this data and notifies the worker of reward points and feedback.

[1980] The role of the emotional engine

[1981] The emotion engine analyzes the user's emotions based on the image data received from the device, and the analysis results are sent to the generation AI and used to adjust the additional reward points.

[1982] Specific examples

[1983] Examples of specific prompts include:

[1984] Good job! Please enter the details of today's task. Then, use the camera to capture your facial expression. Based on the entered task status and facial expression data, we will calculate a score and award you points. We will also provide feedback, so please check it.

[1985] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1986] Step 1:

[1987] Users log in to the smartphone app and enter details of their volunteer activities. Specifically, users enter the details of the day's tasks and their self-evaluation in text format into the app, and the input data is sent to the server. The input data includes the task name, the details performed, the time required, and their self-evaluation.

[1988] Step 2:

[1989] Users capture their facial expressions using their smartphone camera, and the app sends this image data to an emotion engine that generates the user's emotional data. This process uses a facial expression analysis algorithm to extract emotions such as smile, sadness, and surprise.

[1990] Step 3:

[1991] The device sends the entered activity details and captured emotion data to the server, which receives and stores these data in a database, at which point the server checks the consistency and completeness of the received data.

[1992] Step 4:

[1993] The server analyzes the received activity details and emotion data using a generative AI model. The generative AI model evaluates the activity details and calculates an appropriate score. It also adjusts the score based on the emotion data received from the emotion engine. The analysis results are stored on the server.

[1994] Step 5:

[1995] The server calculates reward points based on the analysis results and adds them to the user's account. The points are calculated based on the score calculated by the generative AI model and emotion data. The calculated points are stored in a database and added to the user's account.

[1996] Step 6:

[1997] The server notifies the user of the reward point acquisition status and feedback. Specifically, it sends a push notification to the smartphone app so that the user can check the number of points and feedback within the app. The notification content includes the number of points acquired and feedback from the generation AI and emotion engine.

[1998] Step 7:

[1999] Users can open the smartphone app to check the reward points they have earned and the feedback they have received. Users can check their point balance and receive feedback based on their emotional data, which can be reflected in their next and subsequent activities. This feedback helps to increase the user's motivation and improve the quality of their activities.

[2000] 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.

[2001] 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.

[2002] 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.

[2003] 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.

[2004] 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.

[2005] 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.

[2006] 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).

[2007] 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.

[2008] 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."

[2009] 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.

[2010] 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).

[2011] 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.

[2012] 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.

[2013] 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.

[2014] 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.

[2015] 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.

[2016] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[2017] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[2018] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[2019] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[2020] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[2021] The following is further disclosed regarding the above embodiment.

[2022] (Claim 1)

[2023] A means for converting points offered as rewards for volunteer work;

[2024] A means of evaluating the results of volunteer activities using generative AI, and

[2025] a means for crediting a user's account with reward points for volunteering;

[2026] means for notifying a user of the acquisition of reward points;

[2027] A system including:

[2028] (Claim 2)

[2029] The system of claim 1, further comprising means for receiving information provided by local governments and volunteer organizations, setting evaluation criteria, and recording details of volunteer activities and transmitting evaluation results to the generation AI.

[2030] (Claim 3)

[2031] 2. The system of claim 1, further comprising means for providing an interface for a user to check the balance of reward points and the honor and status acquired.

[2032] "Example 1"

[2033] (Claim 1)

[2034] A means for converting points offered as rewards for volunteer work;

[2035] A means of evaluating the results of volunteer activities using generative AI, and

[2036] a means for crediting a user's account with reward points for volunteering;

[2037] means for notifying a user of the acquisition of reward points;

[2038] means for receiving and analyzing user reports and media;

[2039] A means for scoring based on evaluation criteria using a generative AI model;

[2040] means for calculating reward points based on the score;

[2041] A system including:

[2042] (Claim 2)

[2043] means for receiving information provided by local governments and volunteer organizations and for establishing evaluation criteria;

[2044] The system of claim 1, further comprising means for recording details of volunteer activities and transmitting evaluation results to the generation AI.

[2045] (Claim 3)

[2046] 2. The system of claim 1, further comprising means for providing an interface for a user to check the balance of reward points and the honor and status acquired.

[2047] "Application Example 1"

[2048] (Claim 1)

[2049] A means for converting points offered as rewards for volunteer work;

[2050] A means of evaluating the results of volunteer activities using generative AI, and

[2051] A means of assessing the efficiency and accuracy of robots performing specific tasks in a factory;

[2052] a means for crediting a user's account with reward points for volunteering and robotic work;

[2053] means for notifying a user of the acquisition of reward points;

[2054] A system including:

[2055] (Claim 2)

[2056] The system of claim 1, further comprising: means for receiving information provided by local governments and volunteer groups, setting evaluation criteria, and means for recording details of volunteer activities and robot work and transmitting evaluation results to the generation AI.

[2057] (Claim 3)

[2058] 2. The system of claim 1, further comprising means for providing an interface for a user to check the balance of reward points and the honor and status acquired.

[2059] "Example 2: Combining Emotion Engines"

[2060] (Claim 1)

[2061] A means for converting points offered as rewards for volunteer work;

[2062] A means of evaluating the results of volunteer activities using generative AI, and

[2063] a means for crediting a user's account with reward points for volunteering;

[2064] means for notifying a user of the acquisition of reward points;

[2065] A means for analyzing user emotion data using an emotion engine and adjusting reward points;

[2066] means for collecting user emotion data and transmitting it to a server;

[2067] A system including:

[2068] (Claim 2)

[2069] The system of claim 1, further comprising means for receiving information provided by local governments and volunteer organizations, setting evaluation criteria, and recording details of volunteer activities and transmitting evaluation results to the generation AI.

[2070] (Claim 3)

[2071] 2. The system of claim 1, further comprising means for providing an interface for a user to check the balance of reward points and the honor and status acquired.

[2072] "Application example 2 when combining emotion engines"

[2073] (Claim 1)

[2074] A means for converting points offered as rewards for volunteer work;

[2075] A means of evaluating the results of volunteer activities using generative AI, and

[2076] a means for crediting a user's account with reward points for volunteering;

[2077] means for notifying a user of the acquisition of reward points;

[2078] a means for recording and analyzing emotion data;

[2079] a means for adjusting reward points based on the emotion data;

[2080] A system including:

[2081] (Claim 2)

[2082] means for receiving information provided by local governments and volunteer organizations and for establishing evaluation criteria;

[2083] The system of claim 1, further comprising means for recording details of volunteer activities and transmitting evaluation results to the generation AI.

[2084] (Claim 3)

[2085] Provide an interface for users to check their reward point balance, earned honor, and status,

[2086] 10. The system of claim 1, further comprising means for providing feedback based on the emotion data. [Explanation of symbols]

[2087] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for converting points offered as rewards for volunteer work; A means of evaluating the results of volunteer activities using generative AI, and a means for crediting a user's account with reward points for volunteering; means for notifying a user of the acquisition of reward points; A system including:

2. The system of claim 1 further comprises means for receiving information provided by local governments and volunteer organizations, setting evaluation criteria, and recording details of volunteer activities and transmitting evaluation results to the generation AI.

3. 2. The system according to claim 1, further comprising means for providing an interface for a user to check the balance of reward points and the honor and status acquired.

Images