system

Abstract

We provide the system. [Solution] A means for users to participate in activities and input results, A means by which artificial intelligence generated based on the provided activity data automatically evaluates the results, A means of calculating and awarding points to users based on their evaluation, A means of redeeming awarded points for cash or rewards, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, it is essential to address the widening gap and the aging population. However, the number of participants in volunteer activities is limited, and there is a lack of incentives for such activities. Many volunteer activities do not have clear criteria for rewards or evaluations, making it difficult to maintain the motivation of participants. Therefore, an effective reward system for participants to continuously engage in activities is required.

Means for Solving the Problems

[0005] This invention provides a system in which users participate in volunteer activities and their performance is automatically evaluated by artificial intelligence. Based on the evaluation results, points are calculated and awarded to users, clarifying their level of contribution to the activity and increasing participant incentives. Furthermore, the awarded points can be exchanged for cash or other rewards, allowing participants to receive concrete rewards commensurate with their performance. This invention also includes a means for organizations registering volunteer activities to set activity conditions and effectively recruit participants, thereby promoting the revitalization of activities. In addition, it provides a mechanism to encourage long-term participation in activities by ranking users' contributions and awarding them specific honorary titles.

[0006] A "user" is an individual or group that participates in volunteer activities and whose results are recorded and evaluated.

[0007] "Activities" refer to specific social contribution initiatives provided by volunteer organizations and in which users participate.

[0008] "Results" refer to the outcomes and achievements that users obtain through their activities, and are the subject of evaluation.

[0009] "Artificial intelligence" refers to a program or system that automatically analyzes a user's activity results and generates an evaluation score.

[0010] "Points" are numerical rewards awarded to users based on their evaluation results, and they have value that can be converted into cash or exchanged for other rewards.

[0011] "Cash redemption" refers to the act of exchanging points earned by a user for cash or other tangible value.

[0012] "Reward" refers to the economic or non-economic compensation that a user receives in accordance with the results of their activities.

[0013] "Rank" refers to a position or class assigned to a user based on an evaluation of their contribution to the user's activities.

[0014] The "honorary title" is a name that symbolizes respect and evaluation given based on the degree of a user's activity contribution.

[0015] The "organization" refers to a company, non-profit organization, or other collective that organizes volunteer activities and recruits participants.

Brief Description of Drawings

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

Mode for Carrying Out the Invention

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

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

[0019] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

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

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

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

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

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

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

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

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

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

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

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

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

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

[0037] This invention is implemented as a system in which users can participate in volunteer activities, have their results automatically evaluated by artificial intelligence, and receive rewards. The specific operation is described below.

[0038] The terminal provides a means for the user to access the system and register a profile. The terminal sends this information to the server, which stores the user's information in a database.

[0039] Organizations offering volunteer activities register details of their activities using a terminal. This information includes the activity name, content, conditions, and number of volunteers needed. The terminal sends this information to a server, which stores the activity information in a database. This allows users to search for these activities within the system.

[0040] When a user selects a volunteer activity they are interested in on their device and submits an application, the device sends this information to a server. The server verifies the information and notifies the organization recruiting the activity about the user's data. The organization then verifies and approves the attendees.

[0041] Upon completion of a volunteer activity, the user uses a terminal to enter a progress report. The report describes the activity's results and the goals achieved. The terminal sends this progress report to a server, where the generated artificial intelligence evaluates it.

[0042] The artificial intelligence on the server analyzes the user's contribution based on the given data and generates an evaluation score. Once the evaluation is complete, the server calculates points based on the results. These points are awarded to the user's account and used as rewards.

[0043] Users can check the points they have been awarded through their device. They can then convert their accumulated points into cash or exchange them for rewards offered within the system. This allows users to clearly receive rewards for the results of their activities.

[0044] As a concrete example, consider a case where a user participates in a local cleanup activity. After the activity, the user submits a report on their progress via their device and receives a high rating from the generated artificial intelligence. As a result, the server awards the user 100 points. These points can be used to purchase public transportation tickets or groceries, and receiving this reward motivates the user to participate in future activities.

[0045] In this way, the present invention operates as a system that appropriately evaluates the results of volunteer activities and provides concrete rewards to users. This is expected to improve the motivation of activity participants and strengthen the sustainability of social contribution activities.

[0046] The following describes the processing flow.

[0047] Step 1:

[0048] Users access the system using their devices and register their profiles. They enter the required information and select their areas of volunteer interest. The device then sends this information to the server.

[0049] Step 2:

[0050] The server verifies the user's input information and registers it in the database. After registration is complete, a registration completion notification is sent to the user.

[0051] Step 3:

[0052] Volunteer groups use terminals to register information about their activities in the system. They enter the activity name, details, number of volunteers needed, location, and date and time, and the terminal sends that information to the server.

[0053] Step 4:

[0054] The server stores activity information in a database and makes it publicly available for other users to search. This allows prospective participants to find the activities.

[0055] Step 5:

[0056] The user selects an activity they wish to participate in from their device and submits a registration form. The device then sends this registration information to the server.

[0057] Step 6:

[0058] The server receives the application and notifies the volunteer organization. The organization reviews the application and approves or rejects the participant.

[0059] Step 7:

[0060] After participating in an activity, users create a results report using their device. They input the report details into their device and send it to the server.

[0061] Step 8:

[0062] The server receives the results report and uses the generated artificial intelligence to evaluate the report's contents. The AI ​​analyzes the report content and related data to generate an evaluation score.

[0063] Step 9:

[0064] The server calculates points to award to the user based on their evaluation score. These points are then reflected in the user's account.

[0065] Step 10:

[0066] The user checks the points they have earned through their device and processes the process of converting them into cash or exchanging them for specific rewards. The device sends the request to the server.

[0067] Step 11:

[0068] The server processes the point exchange request and provides the corresponding reward to the user. Once the reward transaction is complete, the user's point balance is updated.

[0069] (Example 1)

[0070] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0071] The current situation lacks a system in place to properly evaluate individual contributions to volunteer activities and provide concrete rewards as feedback. This is necessary to increase participant motivation and improve the sustainability of social contribution activities.

[0072] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0073] In this invention, the server includes means for users to register personal information using an operating device and search for activities they can participate in; means for activity providers to register activity information through the operating device and store that information in a recording device; and means for a generating AI model to evaluate the user's activity results, calculate a reward based on the evaluation result, and notify the user. This makes it possible for users to have their social contributions recognized and receive concrete rewards.

[0074] An "operating device" is a tool used by users or activity providers to access a system and input and retrieve information.

[0075] A "recording device" is equipment used to securely store user and activity information and retrieve it as needed.

[0076] A "generative AI model" is artificial intelligence used to evaluate the results of user activities, and it possesses the capabilities of data analysis and natural language processing.

[0077] "Personal information" refers to information such as the user's name, contact information, and interests that they register in the system, and is data that makes it possible to identify the user.

[0078] "Activity information" refers to detailed information such as the activity name, content, conditions, and number of participants registered by the activity provider in the system.

[0079] "Rewards" are the compensation given by the system to users when they participate in activities and achieve results, and are provided as points.

[0080] "Available rewards" refer to points that users have been awarded that can be exchanged for cash or goods.

[0081] A "reward tier" is a concept that indicates a hierarchy based on a user's contribution, where different titles and benefits are awarded according to their achievement level.

[0082] A "title" is an honorary title bestowed by the system based on a user's contribution, recognizing their efforts and achievements in participating in the activity.

[0083] This invention is implemented as a system in which users participating in volunteer activities can have their results evaluated and receive compensation. Specific embodiments are described below.

[0084] Users begin by accessing the system through a terminal. The terminal functions as a device for users to enter profile information and search for activities of interest. The personal information entered by the user is transmitted from the terminal to the server, which securely stores it in a recording device.

[0085] Activity information is registered by the organization using a terminal. On the terminal, they can enter detailed activity information, conditions, and the number of participants needed. This information is received by the server and stored in a recording device. This process makes the registered activity information searchable by users and notifies those who wish to participate.

[0086] After participating in volunteer activities, users can submit a report on their progress using their device. This report includes the results of the activity and the goals achieved. The report is sent to a server, where a generative AI model evaluates it. The AI ​​model uses natural language processing technology to analyze the report and generate an evaluation score.

[0087] The server analyzes the user's contribution based on this evaluation score and calculates reward points. The calculated points are immediately credited to the user's account, and the user can check their points on their device. These points can also be exchanged for cash or rewards within the system.

[0088] As a concrete example, a user participates in a local cleanup activity and inputs the results into a terminal. Based on this information, a generated AI model gives a high rating, and the server awards 100 points to the user. These points can be used for discounts on transportation or to purchase goods, helping to motivate the user to participate in future activities.

[0089] An example of a prompt to input into a generative AI model is, "What was my specific contribution to this volunteer activity, and how would it be evaluated?" Such prompts allow the AI ​​model to more precisely evaluate the level of contribution to the activity.

[0090] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0091] Step 1:

[0092] Users access the system using their devices and enter personal information. This information includes name, contact details, and areas of interest. This information is sent from the device to the server, which stores the entered data in a database. During this process, the validity of the data is verified and recorded as a new registration.

[0093] Step 2:

[0094] Organizations register activity information via a terminal. The input includes the activity name, activity details, participation requirements, and number of participants needed. The terminal sends this information to a server, which registers the activity information in a database. The data is managed by a unique activity ID, allowing users to search for it later.

[0095] Step 3:

[0096] The user searches for activities on their device and selects activities of interest. They can set search criteria and keywords for their desired activities as input. The device sends a search query to the server, which retrieves relevant activity information from its database and returns it to the device. This displays a suitable list of activities to the user.

[0097] Step 4:

[0098] The user applies to participate in their chosen activity. The required information includes the activity ID and the user ID. The terminal sends this application data to the server. The server receives the application and notifies the activity provider. The activity provider can then approve or take action.

[0099] Step 5:

[0100] After the activity is completed, the user submits a progress report using their device. The report includes information such as the activity's results, achieved goals, and impressions. The device sends this report to the server. A generative AI model on the server analyzes the report and performs an evaluation. The AI ​​model uses natural language processing technology to generate a score that evaluates the level of contribution.

[0101] Step 6:

[0102] The server calculates reward points using the evaluation score obtained by the generating AI model. The reward points are calculated using the user ID and evaluation score as input, and the data is processed accordingly. These points are immediately credited to the user's account, and the user can check their points through their device.

[0103] Step 7:

[0104] Users can view their awarded points on their device and choose to use them as rewards. Options are available to convert points into cash or exchange them for specific rewards. Upon entering a desired exchange, the server processes the request, converts the points, and records the transaction in the history.

[0105] (Application Example 1)

[0106] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0107] In volunteer activities, there is a lack of systems that ensure the safety of participants while appropriately evaluating the results of their activities and providing compensation. Furthermore, there are challenges in effectively achieving both safety management and performance evaluation.

[0108] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0109] In this invention, the server includes means for users to participate in activities and input their results, information processing means for automatically evaluating activity results, and means for acquiring location information during activities and sending emergency notifications. This makes it possible to provide rewards according to results while ensuring the safety of activity participants.

[0110] A "user" is an entity that participates in volunteer activities, reports on the results of those activities, and receives evaluation.

[0111] "Activity information" refers to data that details volunteer activities, including activity conditions and required skills.

[0112] An "information processing system" refers to a device or software that automatically performs evaluations based on provided activity information and user reports.

[0113] "Value" refers to points or rewards awarded to users based on the evaluation results of their activities.

[0114] "Monetization" refers to the process of converting assigned value into actual currency or goods.

[0115] "Means of acquiring location information during activity" refers to technologies or devices used to determine the user's current location during an activity.

[0116] The "means of sending emergency notifications" is a function that immediately sends alerts and location information to pre-set contacts when a user senses danger.

[0117] "Organization" refers to a group or institution that plans volunteer activities and provides information about those activities.

[0118] A "cloud service" is a system infrastructure that allows data to be stored via the internet and sent and received as needed.

[0119] "Reward rank" is an evaluation criterion that quantifies a user's contribution to volunteer activities and presents it in multiple levels.

[0120] An "honorary title" is a title or name bestowed upon a user when they receive a specific evaluation based on their activities or contributions.

[0121] The system for carrying out the present invention mainly consists of a server, a terminal, and a user. This system provides a series of processes for users to participate in volunteer activities and for their results to be evaluated and rewarded.

[0122] The server, as an information processing system, performs processing to evaluate the activity results submitted by the user. The AI ​​model on the server analyzes the result data received as input and quantifies the user's contribution. This quantified evaluation is returned as an evaluation score and awarded to the user as points. Furthermore, the server has the function to acquire the user's location information and automatically send notifications to pre-set contacts in case of emergencies. This function ensures the user's safety and enables a rapid response.

[0123] The terminal provides an interface for users to input information about their activities. The terminal uses GPS and communication functions to transmit the user's location information to the server. It also functions as a device for users to input and submit activity results. The terminal directly receives user instructions and transmits them to the server.

[0124] Users manage various information related to their activities through their devices. They can report details of the activities they participated in and check the points they earned as a result of their evaluation. Points can be redeemed for cash or exchanged for specific rewards, and are an important element that supports user motivation.

[0125] As a concrete example, if a user participates in a local cleanup activity and sends a detailed results report to the server via their device afterward, the server's generated AI model immediately analyzes the value of the activity. If the user prompts for information such as, "I participated in a local park cleanup activity and collected 10 bags of trash," the AI ​​model evaluates this information and calculates and awards points. 100 points based on the evaluation are registered to the user's account, and the user can use these points as transportation tickets.

[0126] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0127] Step 1:

[0128] Before participating in volunteer activities, users register a profile using a device. This registration includes information such as username, contact details, and preferred type of activity. The device sends this information to a server, which stores the user data in a database. This provides a foundation for users to search for available activities.

[0129] Step 2:

[0130] Organizations providing volunteer activities register their activity information using a terminal. This data includes the activity name, content, conditions, and number of volunteers needed. This information is sent from the terminal to a server, which stores the activity data in a database. This provides users with detailed information to select activities.

[0131] Step 3:

[0132] Users select activities they are interested in on their device and submit a registration form. This sends the user's selection information to the server via the device. The server receives this request and notifies the activity provider. The organization reviews the participant's information and determines if they are a good fit.

[0133] Step 4:

[0134] During volunteer activities, the device uses GPS functionality to acquire the user's location information in real time and transmit it to the server. This information is used to ensure the user's safety in emergencies. Specifically, it enables the rapid provision of necessary assistance based on the location information.

[0135] Step 5:

[0136] After completing an activity, the user uses their device to input a report of the activity's results. Information such as the goals achieved and the data collected during the activity is entered and sent to the server. The server's generated AI model receives this report and starts the evaluation process. Based on the input, it analyzes each element and quantifies the user's contribution.

[0137] Step 6:

[0138] The server calculates points based on the evaluation score obtained from the generated AI model and awards the results to the user. The server registers the calculation results to the user's account, allowing the user to check their points through their device. The points function as an incentive for the user.

[0139] Step 7:

[0140] Users can redeem awarded points for cash or exchange them for rewards through their devices. Specifically, they can choose from available reward options within the device application and complete the procedure to receive the selected reward. Through this process, users receive concrete rewards commensurate with the results of their activities.

[0141] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0142] This invention is implemented as a volunteer activity evaluation system equipped with an emotion engine that recognizes user emotions. This system allows users to participate in activities, input emotional data along with their results, and evaluate them. The specific operation is described below.

[0143] The server provides a database for securely storing any personal information, including user profile information and emotional data. Users access the system using their devices and download an emotion engine application to record changes in their emotions.

[0144] Activity providers register their activity conditions using a terminal and make the activity details public to users. Users apply for and participate in the activities they wish to attend. During the activity, an emotion engine on the terminal analyzes the user's emotions in real time from their facial expressions and behavioral data. This allows for the quantification of the user's emotional state during the activity, such as enjoyment and satisfaction.

[0145] Once an activity is completed, the user inputs an activity performance report and emotional data via their device and sends it to the server. The generated artificial intelligence evaluates the activity based on this data and calculates points according to the evaluation result. Emotional data is also taken into consideration in the point calculation. As a result, the system is designed so that users who perform activities that they find more satisfying earn more points.

[0146] The server then reflects the earned points in the user's account, and the user can check their point balance through their device. Earned points can be redeemed for cash or exchanged for specific rewards, which are managed on the device. Additionally, emotional data is used for feedback automatically generated by the system, and users can also send suggestions for improving activities to the organization.

[0147] As a concrete example, consider a scenario where a user participates in volunteering to plan a local event. This user's facial expressions are read via their device's camera during the activity, and an emotion engine is used to evaluate whether they are enjoying the activity. After the activity, the AI ​​analyzes this emotion data and the activity's results, awarding additional points based on high satisfaction. Furthermore, the organization can use the feedback provided by the system to improve future event planning.

[0148] Thus, the present invention enables a comprehensive evaluation that includes user emotional information, and is implemented as a system to improve the motivation of participants in volunteer activities. This system aims to improve the user's own satisfaction while supporting sustainable social contribution.

[0149] The following describes the processing flow.

[0150] Step 1:

[0151] The user accesses the system using their device and installs the emotion engine application along with their profile information. The emotion engine has the function of recording changes in the user's facial expressions and voice.

[0152] Step 2:

[0153] Volunteer groups use terminals to register details and conditions of their activities. This information is sent to a server and stored in a database.

[0154] Step 3:

[0155] The server publishes registered activity information, making it available for users to view and select. Users use their devices to select activities that interest them and register to participate.

[0156] Step 4:

[0157] Users whose participation is approved will participate in the activity on their device. During the activity, the emotion engine installed on the user's device will analyze the user's emotional state in real time and record the data.

[0158] Step 5:

[0159] After completing an activity, the user inputs activity results and emotional data on their device and sends it to the server. Emotional data includes satisfaction levels and stress levels during the activity.

[0160] Step 6:

[0161] The server uses generated artificial intelligence to analyze the results and sentiment data of the submitted activities. Based on this data, the AI ​​evaluates the user's contribution and generates a specific evaluation score.

[0162] Step 7:

[0163] The server awards points to users based on their evaluation score. If the sentiment data indicates user satisfaction, additional points are awarded and reflected in the user's account.

[0164] Step 8:

[0165] The user checks their point balance via their device and requests to exchange or redeem points as needed. The device sends this request to the server.

[0166] Step 9:

[0167] The server processes point exchange requests and provides the reward selected by the user. At the same time, the server analyzes sentiment data and provides feedback to volunteer organizations to improve their activities.

[0168] (Example 2)

[0169] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0170] In volunteer activities, accurately evaluating participants' subjective feelings and contributions to the activity is difficult, resulting in challenges in improving the quality of activities and maintaining participant motivation. In particular, there is a lack of mechanisms to capture changes in emotions in real time and to help participants enjoy the activity more.

[0171] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0172] In this invention, the server includes means for the user to input information and emotional state related to the activity via an associated device, means for analyzing the provided data based on the activity conditions and for a generating AI model to evaluate the activity results including the user's emotional data, and means for calculating points earned based on the evaluation results and enabling additional points based on emotional information. This enables highly accurate activity evaluation based on participants' emotions, leading to improved participant satisfaction and continuous improvement by the activity provider organization.

[0173] A "user" is an individual who participates in volunteer activities and provides emotional data and activity results to the system.

[0174] "Related devices" refer to devices used by users to input activity information and emotional states, and are terminals equipped with an emotion engine application.

[0175] "Activity conditions" refer to detailed information about the activity provided by the activity provider organization, including the date, time, location, and content of the activity, which the organization registers in the system and provides to the user.

[0176] A "generative AI model" is an artificial intelligence system that analyzes emotional data based on user input data and evaluates the results of activities.

[0177] "Emotional data" refers to quantified information that indicates the emotional state of a user, analyzed based on their facial expressions and actions.

[0178] "Evaluation results" refer to the quantified results of a comprehensive evaluation conducted by the generative AI model based on user emotion data and activity outcomes.

[0179] "Points earned" are a numerical value awarded to users based on the evaluation results of their activities, and can be used to redeem or exchange rewards.

[0180] An "activity provider organization" is a group or organization that plans volunteer activities and recruits participants.

[0181] This invention is an activity evaluation system that includes user emotion data, and by having the user participate in activities using a device that utilizes an emotion engine, it achieves more accurate experience evaluation. A specific embodiment is shown below.

[0182] The server provides a database for securely storing user information and emotional data. This allows users to trust and entrust their personal and activity data to it. The terminal functions as an interface for user access and has an emotional engine application installed. The emotional engine reads the user's facial expressions and movements in real time through the terminal's camera, analyzes and quantifies their emotional state.

[0183] Users view activity information registered by activity providers through their devices and apply for their desired activities. While the activity is taking place, the device continuously analyzes emotional data and prepares it for transmission to the server. After the activity ends, users use their devices to send performance data and emotional data to the server. The server analyzes this data using a generative AI model and provides a point evaluation for the user. This evaluation is also used as feedback for activity providers when planning future activities.

[0184] As a concrete example, when a user participates in a local volunteer event, their enjoyment and sense of fulfillment are captured in real time through the device's camera. After the activity, the AI ​​calculates additional points based on high satisfaction levels, thereby increasing user motivation and providing improvement suggestions to the organization providing the activity. For this reason, an example of a prompt message provided to the user might be: "Participate in a local event planning volunteer activity and use the emotion engine to evaluate your satisfaction level during the activity. We will analyze in real time whether you are enjoying the activity."

[0185] As a result, the system of the present invention enables participants to evaluate their experiences based on their emotions, thereby promoting improved user satisfaction and continuous improvement for activity providers.

[0186] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0187] Step 1:

[0188] The user accesses the system via their device and downloads the emotion engine application. The input is the user's device information and system access information, and the output is the downloaded application. This allows the user to utilize individual emotion analysis functions within the app.

[0189] Step 2:

[0190] The terminal retrieves activity information registered by the activity-providing organization from the server and displays it to the user. The input is the activity information stored on the server, and the output is a list of activities displayed on the user's terminal. The user reviews this list and selects and applies for the desired activities.

[0191] Step 3:

[0192] The user participates in a selected activity, and emotional data is collected through the device's camera during the activity. The input is the user's facial expressions and movement data, and the output is analyzed emotional data. The device uses an emotion engine in real time to quantify this data and measure satisfaction with the activity.

[0193] Step 4:

[0194] Once an activity is complete, the user inputs activity outcome data via their device and sends it to the server. Input consists of the user's outcome report and sentiment data, while output is the transmission of data to the server. This ensures that all activity data is securely stored.

[0195] Step 5:

[0196] The server uses a generative AI model to evaluate the emotional data and activity results submitted by the user. The input is the user's emotional data and activity results stored on the server, and the output is the evaluation result from the AI. The AI ​​analyzes this data to provide an overall evaluation of the user's contribution to the activity and satisfaction level.

[0197] Step 6:

[0198] The server calculates the points earned based on the evaluation results and reflects them in the user's account. The input is the AI-generated evaluation result, and the output is the updated user point balance. Users can check their points via their device and redeem them for cash or rewards as needed.

[0199] (Application Example 2)

[0200] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0201] In modern society, food delivery services are extremely convenient for consumers, but there is a lack of means to accurately measure customer satisfaction and use that information to improve services. Traditional delivery services have often resulted in ambiguous feedback, making it difficult to directly reflect customer emotions. Furthermore, methods for providing incentives based on customer satisfaction are limited. In this context, it is crucial to utilize sentiment analysis to provide a more appropriate customer experience evaluation and feedback system.

[0202] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0203] In this invention, the server includes a device for users to participate in provided activities and input activity results, a device for evaluating the user's emotional state using emotion analysis technology, and a device for generating artificial intelligence that automatically evaluates the results based on the provided activity data and emotional state. This makes it possible to grasp the emotional state of customers in food delivery services in real time and to provide points and feedback according to satisfaction levels.

[0204] "Users" refer to the people who use the system, and their behavioral and emotional data are the subjects whose data is used to evaluate the system.

[0205] An "activity" refers to a series of processes or events in which a user participates and takes action, and is subject to evaluation.

[0206] "Emotion analysis technology" is a technology that estimates and quantitatively evaluates a user's emotional state based on their facial expressions and behavioral data.

[0207] "Results" refer to the outcomes and effects obtained by users participating in an activity, and serve as the basis for evaluation.

[0208] "Generated artificial intelligence" refers to software that automatically makes decisions based on input data and performs evaluations and recommendations.

[0209] "Points" refer to numerical rewards calculated by the system and awarded to the user.

[0210] "Currency" refers to something that has actual monetary value and can be exchanged through points earned by users.

[0211] "Rewards" refer to specific benefits such as money or services that users receive as a result of participating in activities and being evaluated positively.

[0212] "Activity information" refers to detailed information about activities registered in the system, and is data necessary for users to decide whether or not to participate.

[0213] A "group" refers to an organization or group that registers activity information and sets conditions in advance.

[0214] "Feedback" refers to improvement suggestions and evaluations provided to the management based on the user's emotional state and activity results.

[0215] "Service improvement" refers to the process of using feedback on activities to make subsequent activities and experiences better.

[0216] "Contribution level" is a measure that indicates an evaluation based on the usefulness and results demonstrated by the user through their activities.

[0217] "Satisfaction level" refers to an evaluation of an activity or service based on the user's emotional state.

[0218] "Reward rank" refers to a hierarchy that indicates the type and level of rewards provided based on the user's contribution and satisfaction level.

[0219] An "honorary title" refers to a symbolic status or title bestowed upon a user in recognition of their contributions and achievements.

[0220] A system implementing this invention mainly consists of a server, a user terminal, and software that implements emotion analysis technology.

[0221] The server receives data from organizations and groups that register activity information and stores the activity conditions in a related database. Next, the generated artificial intelligence processes the sentiment analysis data and activity outcome data sent by the user and performs an evaluation. The evaluation results are accumulated as a score associated with the user's profile.

[0222] When users receive food deliveries or participate in activities, they use their smartphones or other devices to acquire emotional data in real time using cameras and emotion analysis engines (such as Affectiva SDK). The acquired emotional data is sent to a server, where a generative AI model calculates an emotion score. This allows for an accurate evaluation of user satisfaction and contribution.

[0223] For example, when a user receives a food delivery, their facial expression is captured by the device's camera, and if the emotion analysis indicates a high level of satisfaction, additional points are awarded. These points can be exchanged for other rewards or benefits in the future. Furthermore, user feedback is provided to the store, contributing to service improvement.

[0224] An example of a prompt is, "Please describe an app that analyzes a user's facial expressions when they receive a delivery and generates feedback based on their satisfaction level." Based on such prompts, the AI ​​generates appropriate feedback, leading to increased satisfaction.

[0225] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0226] Step 1:

[0227] The user receives activity information. The terminal receives activity information sent from the server and displays it to the user. Based on this information, the user selects activities to participate in and submits a registration. The input here is activity information from the server, which is then processed to make it visible to the user. The output is the activity information selected by the user.

[0228] Step 2:

[0229] The user participates in the activity and inputs emotional data. The device's camera captures the user's facial expressions in real time, and this data is analyzed using emotion analysis technology. The input is video data acquired by the camera, and the emotion analysis engine outputs numerical emotional data. This information is temporarily stored.

[0230] Step 3:

[0231] The server evaluates the emotional data. The server receives emotional data and activity outcome data from the terminal, and the generated artificial intelligence performs an evaluation based on this data. The input is emotional data and activity outcome data, and the output is the user's evaluation score. The server refers to a database, compares it to past evaluations, and creates the necessary evaluation criteria.

[0232] Step 4:

[0233] The system notifies the user of their evaluation results and awards points. The server calculates the points to be allocated to the user based on their evaluation score and notifies the user of the result. The input is the user's evaluation score, and the output is information about the points awarded. These points are recorded by the user as redeemable in the future.

[0234] Step 5:

[0235] This system generates and sends feedback. Based on sentiment analysis and activity results, feedback is automatically generated from the system and sent to the organization that registered the activity information. The input is comprehensive analysis data, and the output is feedback information including improvement suggestions. Specifically, prompt sentences are entered into the generating AI model, which then retrieves and sends the optimal feedback.

[0236] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0237] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0238] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0239] [Second Embodiment]

[0240] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0241] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0242] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0243] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0244] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0245] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0246] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0247] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0248] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0249] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0250] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0251] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0252] This invention is implemented as a system in which users can participate in volunteer activities, have their results automatically evaluated by artificial intelligence, and receive rewards. The specific operation is described below.

[0253] The terminal provides a means for the user to access the system and register a profile. The terminal sends this information to the server, which stores the user's information in a database.

[0254] Organizations offering volunteer activities register details of their activities using a terminal. This information includes the activity name, content, conditions, and number of volunteers needed. The terminal sends this information to a server, which stores the activity information in a database. This allows users to search for these activities within the system.

[0255] When a user selects a volunteer activity they are interested in on their device and submits an application, the device sends this information to a server. The server verifies the information and notifies the organization recruiting the activity about the user's data. The organization then verifies and approves the attendees.

[0256] Upon completion of a volunteer activity, the user uses a terminal to enter a progress report. The report describes the activity's results and the goals achieved. The terminal sends this progress report to a server, where the generated artificial intelligence evaluates it.

[0257] The artificial intelligence on the server analyzes the user's contribution based on the given data and generates an evaluation score. Once the evaluation is complete, the server calculates points based on the results. These points are awarded to the user's account and used as rewards.

[0258] Users can check the points they have been awarded through their device. They can then convert their accumulated points into cash or exchange them for rewards offered within the system. This allows users to clearly receive rewards for the results of their activities.

[0259] As a concrete example, consider a case where a user participates in a local cleanup activity. After the activity, the user submits a report on their progress via their device and receives a high rating from the generated artificial intelligence. As a result, the server awards the user 100 points. These points can be used to purchase public transportation tickets or groceries, and receiving this reward motivates the user to participate in future activities.

[0260] In this way, the present invention operates as a system that appropriately evaluates the results of volunteer activities and provides concrete rewards to users. This is expected to improve the motivation of activity participants and strengthen the sustainability of social contribution activities.

[0261] The following describes the processing flow.

[0262] Step 1:

[0263] Users access the system using their devices and register their profiles. They enter the required information and select their areas of volunteer interest. The device then sends this information to the server.

[0264] Step 2:

[0265] The server verifies the user's input information and registers it in the database. After registration is complete, a registration completion notification is sent to the user.

[0266] Step 3:

[0267] Volunteer groups use terminals to register information about their activities in the system. They enter the activity name, details, number of volunteers needed, location, and date and time, and the terminal sends that information to the server.

[0268] Step 4:

[0269] The server stores activity information in a database and makes it publicly available for other users to search. This allows prospective participants to find the activities.

[0270] Step 5:

[0271] The user selects an activity they wish to participate in from their device and submits a registration form. The device then sends this registration information to the server.

[0272] Step 6:

[0273] The server receives participation applications and notifies volunteer groups. The group checks the applications and approves or rejects the participants.

[0274] Step 7:

[0275] After the user participates in the activity, they use the terminal to create a results report. The report content is entered into the terminal and sent to the server.

[0276] Step 8:

[0277] The server receives the results report and uses the generated artificial intelligence to evaluate the report content. The AI analyzes the report content and related data and generates an evaluation score.

[0278] Step 9:

[0279] The server calculates the points to be awarded to the user based on the evaluation score. These points are reflected in the user's account.

[0280] Step 10:

[0281] The user checks the points obtained through the terminal and conducts a process of cashing them or exchanging them for specific rewards. The terminal sends that request to the server.

[0282] Step 11:

[0283] The server processes the point exchange request and provides the corresponding rewards to the user. When the reward transaction is completed, the user's point balance is updated.

[0284] (Example 1)

[0285] Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0286] To improve the current situation where the individual contribution in volunteer activities is not properly evaluated and there is a lack of a mechanism to provide specific feedback as a reward. By doing so, it is necessary to enhance the motivation of participants and improve the sustainability of social contribution activities.

[0287] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0288] In this invention, the server includes means for a user to register personal information using an operating device and search for activities that can be participated in, means for an activity provider to register activity information through the operating device and store the information in a recording device, and means for a generation AI model to evaluate the activity results of the user, calculate a reward based on the evaluation results, and notify the user. As a result, the user can have their social contribution recognized and receive a specific reward.

[0289] The "operating device" is a tool used by a user or an activity provider to access the system and input and obtain information.

[0290] The "recording device" is a facility for safely storing user and activity information and retrieving it as needed.

[0291] The "generation AI model" is an artificial intelligence used to evaluate the activity results of a user and has the ability to perform data analysis and natural language processing.

[0292] "Personal information" refers to information such as the name, contact information, and interests that a user registers in the system, and is data that enables the identification of the user.

[0293] "Activity information" refers to detailed information such as the activity name, content, conditions, and number of recruits that an activity provider registers in the system.

[0294] "Reward" is the consideration given by the system when a user participates in an activity and achieves results, and is provided as points.

[0295] "Available rewards" refer to points that users have been awarded that can be exchanged for cash or goods.

[0296] A "reward tier" is a concept that indicates a hierarchy based on a user's contribution, where different titles and benefits are awarded according to their achievement level.

[0297] A "title" is an honorary title bestowed by the system based on a user's contribution, recognizing their efforts and achievements in participating in the activity.

[0298] This invention is implemented as a system in which users participating in volunteer activities can have their results evaluated and receive compensation. Specific embodiments are described below.

[0299] Users begin by accessing the system through a terminal. The terminal functions as a device for users to enter profile information and search for activities of interest. The personal information entered by the user is transmitted from the terminal to the server, which securely stores it in a recording device.

[0300] Activity information is registered by the organization using a terminal. On the terminal, they can enter detailed activity information, conditions, and the number of participants needed. This information is received by the server and stored in a recording device. This process makes the registered activity information searchable by users and notifies those who wish to participate.

[0301] After participating in volunteer activities, users can submit a report on their progress using their device. This report includes the results of the activity and the goals achieved. The report is sent to a server, where a generative AI model evaluates it. The AI ​​model uses natural language processing technology to analyze the report and generate an evaluation score.

[0302] The server analyzes the user's contribution based on this evaluation score and calculates the reward points. The calculated points are immediately granted to the user's account, and the user can check the points on the terminal. Also, these points can be exchanged for cash or rewards within the system.

[0303] As a specific example, a user participates in a local cleaning activity and enters the results into the terminal. Based on this information, the generated AI model gives a high evaluation, and the server grants 100 points to the user. These points can be used for transportation discounts or purchasing goods, helping to boost the motivation for the next activity.

[0304] As an example of the prompt sentence input to the generated AI model, "What was my specific contribution in this volunteer activity and how would it be evaluated?" can be cited. With such a prompt sentence, the AI model can evaluate the contribution of the activity more precisely.

[0305] The flow of the specific process in Example 1 will be described using FIG. 11.

[0306] Step 1:

[0307] The user uses the terminal to access the system and enters personal information. The input includes name, contact information, areas of interest, etc. This information is sent from the terminal to the server, and the server saves the input data in the database. In this process, the validity of the data is verified and recorded as a new registration.

[0308] Step 2:

[0309] The organization registers activity information via the terminal. The input content includes activity name, activity details, participation conditions, and number of recruits. The terminal sends this information to the server, and the server registers the activity information in the database. The data is managed by a unique activity ID and can be searched by the user later.

[0310] Step 3:

[0311] The user searches for activities on their device and selects activities of interest. They can set search criteria and keywords for their desired activities as input. The device sends a search query to the server, which retrieves relevant activity information from its database and returns it to the device. This displays a suitable list of activities to the user.

[0312] Step 4:

[0313] The user applies to participate in their chosen activity. The required information includes the activity ID and the user ID. The terminal sends this application data to the server. The server receives the application and notifies the activity provider. The activity provider can then approve or take action.

[0314] Step 5:

[0315] After the activity is completed, the user submits a progress report using their device. The report includes information such as the activity's results, achieved goals, and impressions. The device sends this report to the server. A generative AI model on the server analyzes the report and performs an evaluation. The AI ​​model uses natural language processing technology to generate a score that evaluates the level of contribution.

[0316] Step 6:

[0317] The server calculates reward points using the evaluation score obtained by the generating AI model. The reward points are calculated using the user ID and evaluation score as input, and the data is processed accordingly. These points are immediately credited to the user's account, and the user can check their points through their device.

[0318] Step 7:

[0319] Users can view their awarded points on their device and choose to use them as rewards. Options are available to convert points into cash or exchange them for specific rewards. Upon entering a desired exchange, the server processes the request, converts the points, and records the transaction in the history.

[0320] (Application Example 1)

[0321] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0322] In volunteer activities, there is a lack of systems that ensure the safety of participants while appropriately evaluating the results of their activities and providing compensation. Furthermore, there are challenges in effectively achieving both safety management and performance evaluation.

[0323] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0324] In this invention, the server includes means for users to participate in activities and input their results, information processing means for automatically evaluating activity results, and means for acquiring location information during activities and sending emergency notifications. This makes it possible to provide rewards according to results while ensuring the safety of activity participants.

[0325] A "user" is an entity that participates in volunteer activities, reports on the results of those activities, and receives evaluation.

[0326] "Activity information" refers to data that details volunteer activities, including activity conditions and required skills.

[0327] An "information processing system" refers to a device or software that automatically performs evaluations based on provided activity information and user reports.

[0328] "Value" refers to points or rewards awarded to users based on the evaluation results of their activities.

[0329] "Monetization" refers to the process of converting assigned value into actual currency or goods.

[0330] "Means of acquiring location information during activity" refers to technologies or devices used to determine the user's current location during an activity.

[0331] The "means of sending emergency notifications" is a function that immediately sends alerts and location information to pre-set contacts when a user senses danger.

[0332] "Organization" refers to a group or institution that plans volunteer activities and provides information about those activities.

[0333] A "cloud service" is a system infrastructure that allows data to be stored via the internet and sent and received as needed.

[0334] "Reward rank" is an evaluation criterion that quantifies a user's contribution to volunteer activities and presents it in multiple levels.

[0335] An "honorary title" is a title or name bestowed upon a user when they receive a specific evaluation based on their activities or contributions.

[0336] The system for carrying out the present invention mainly consists of a server, a terminal, and a user. This system provides a series of processes for users to participate in volunteer activities and for their results to be evaluated and rewarded.

[0337] The server, as an information processing system, performs processing to evaluate the activity results submitted by the user. The AI ​​model on the server analyzes the result data received as input and quantifies the user's contribution. This quantified evaluation is returned as an evaluation score and awarded to the user as points. Furthermore, the server has the function to acquire the user's location information and automatically send notifications to pre-set contacts in case of emergencies. This function ensures the user's safety and enables a rapid response.

[0338] The terminal provides an interface for users to input information about their activities. The terminal uses GPS and communication functions to transmit the user's location information to the server. It also functions as a device for users to input and submit activity results. The terminal directly receives user instructions and transmits them to the server.

[0339] Users manage various information related to their activities through their devices. They can report details of the activities they participated in and check the points they earned as a result of their evaluation. Points can be redeemed for cash or exchanged for specific rewards, and are an important element that supports user motivation.

[0340] As a concrete example, if a user participates in a local cleanup activity and sends a detailed results report to the server via their device afterward, the server's generated AI model immediately analyzes the value of the activity. If the user prompts for information such as, "I participated in a local park cleanup activity and collected 10 bags of trash," the AI ​​model evaluates this information and calculates and awards points. 100 points based on the evaluation are registered to the user's account, and the user can use these points as transportation tickets.

[0341] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0342] Step 1:

[0343] Before participating in volunteer activities, users register a profile using a device. This registration includes information such as username, contact details, and preferred type of activity. The device sends this information to a server, which stores the user data in a database. This provides a foundation for users to search for available activities.

[0344] Step 2:

[0345] Organizations providing volunteer activities register their activity information using a terminal. This data includes the activity name, content, conditions, and number of volunteers needed. This information is sent from the terminal to a server, which stores the activity data in a database. This provides users with detailed information to select activities.

[0346] Step 3:

[0347] Users select activities they are interested in on their device and submit a registration form. This sends the user's selection information to the server via the device. The server receives this request and notifies the activity provider. The organization reviews the participant's information and determines if they are a good fit.

[0348] Step 4:

[0349] During volunteer activities, the device uses GPS functionality to acquire the user's location information in real time and transmit it to the server. This information is used to ensure the user's safety in emergencies. Specifically, it enables the rapid provision of necessary assistance based on the location information.

[0350] Step 5:

[0351] After completing an activity, the user uses their device to input a report of the activity's results. Information such as the goals achieved and the data collected during the activity is entered and sent to the server. The server's generated AI model receives this report and starts the evaluation process. Based on the input, it analyzes each element and quantifies the user's contribution.

[0352] Step 6:

[0353] The server calculates points based on the evaluation score obtained from the generated AI model and awards the results to the user. The server registers the calculation results to the user's account, allowing the user to check their points through their device. The points function as an incentive for the user.

[0354] Step 7:

[0355] Users can redeem awarded points for cash or exchange them for rewards through their devices. Specifically, they can choose from available reward options within the device application and complete the procedure to receive the selected reward. Through this process, users receive concrete rewards commensurate with the results of their activities.

[0356] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0357] This invention is implemented as a volunteer activity evaluation system equipped with an emotion engine that recognizes user emotions. This system allows users to participate in activities, input emotional data along with their results, and evaluate them. The specific operation is described below.

[0358] The server provides a database for securely storing any personal information, including user profile information and emotional data. Users access the system using their devices and download an emotion engine application to record changes in their emotions.

[0359] Activity providers register their activity conditions using a terminal and make the activity details public to users. Users apply for and participate in the activities they wish to attend. During the activity, an emotion engine on the terminal analyzes the user's emotions in real time from their facial expressions and behavioral data. This allows for the quantification of the user's emotional state during the activity, such as enjoyment and satisfaction.

[0360] Once an activity is completed, the user inputs an activity performance report and emotional data via their device and sends it to the server. The generated artificial intelligence evaluates the activity based on this data and calculates points according to the evaluation result. Emotional data is also taken into consideration in the point calculation. As a result, the system is designed so that users who perform activities that they find more satisfying earn more points.

[0361] The server then reflects the earned points in the user's account, and the user can check their point balance through their device. Earned points can be redeemed for cash or exchanged for specific rewards, which are managed on the device. Additionally, emotional data is used for feedback automatically generated by the system, and users can also send suggestions for improving activities to the organization.

[0362] As a concrete example, consider a scenario where a user participates in volunteering to plan a local event. This user's facial expressions are read via their device's camera during the activity, and an emotion engine is used to evaluate whether they are enjoying the activity. After the activity, the AI ​​analyzes this emotion data and the activity's results, awarding additional points based on high satisfaction. Furthermore, the organization can use the feedback provided by the system to improve future event planning.

[0363] Thus, the present invention enables a comprehensive evaluation that includes user emotional information, and is implemented as a system to improve the motivation of participants in volunteer activities. This system aims to improve the user's own satisfaction while supporting sustainable social contribution.

[0364] The following describes the processing flow.

[0365] Step 1:

[0366] The user accesses the system using their device and installs the emotion engine application along with their profile information. The emotion engine has the function of recording changes in the user's facial expressions and voice.

[0367] Step 2:

[0368] Volunteer groups use terminals to register details and conditions of their activities. This information is sent to a server and stored in a database.

[0369] Step 3:

[0370] The server publishes registered activity information, making it available for users to view and select. Users use their devices to select activities that interest them and register to participate.

[0371] Step 4:

[0372] Users whose participation is approved will participate in the activity on their device. During the activity, the emotion engine installed on the user's device will analyze the user's emotional state in real time and record the data.

[0373] Step 5:

[0374] After completing an activity, the user inputs activity results and emotional data on their device and sends it to the server. Emotional data includes satisfaction levels and stress levels during the activity.

[0375] Step 6:

[0376] The server uses generated artificial intelligence to analyze the results and sentiment data of the submitted activities. Based on this data, the AI ​​evaluates the user's contribution and generates a specific evaluation score.

[0377] Step 7:

[0378] The server awards points to users based on their evaluation score. If the sentiment data indicates user satisfaction, additional points are awarded and reflected in the user's account.

[0379] Step 8:

[0380] The user checks their point balance via their device and requests to exchange or redeem points as needed. The device sends this request to the server.

[0381] Step 9:

[0382] The server processes point exchange requests and provides the reward selected by the user. At the same time, the server analyzes sentiment data and provides feedback to volunteer organizations to improve their activities.

[0383] (Example 2)

[0384] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0385] In volunteer activities, accurately evaluating participants' subjective feelings and contributions to the activity is difficult, resulting in challenges in improving the quality of activities and maintaining participant motivation. In particular, there is a lack of mechanisms to capture changes in emotions in real time and to help participants enjoy the activity more.

[0386] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0387] In this invention, the server includes means for the user to input information and emotional state related to the activity via an associated device, means for analyzing the provided data based on the activity conditions and for a generating AI model to evaluate the activity results including the user's emotional data, and means for calculating points earned based on the evaluation results and enabling additional points based on emotional information. This enables highly accurate activity evaluation based on participants' emotions, leading to improved participant satisfaction and continuous improvement by the activity provider organization.

[0388] A "user" is an individual who participates in volunteer activities and provides emotional data and activity results to the system.

[0389] "Related devices" refer to devices used by users to input activity information and emotional states, and are terminals equipped with an emotion engine application.

[0390] "Activity conditions" refer to detailed information about the activity provided by the activity provider organization, including the date, time, location, and content of the activity, which the organization registers in the system and provides to the user.

[0391] A "generative AI model" is an artificial intelligence system that analyzes emotional data based on user input data and evaluates the results of activities.

[0392] "Emotional data" refers to quantified information that indicates the emotional state of a user, analyzed based on their facial expressions and actions.

[0393] "Evaluation results" refer to the quantified results of a comprehensive evaluation conducted by the generative AI model based on user emotion data and activity outcomes.

[0394] "Points earned" are a numerical value awarded to users based on the evaluation results of their activities, and can be used to redeem or exchange rewards.

[0395] An "activity provider organization" is a group or organization that plans volunteer activities and recruits participants.

[0396] This invention is an activity evaluation system that includes user emotion data, and by having the user participate in activities using a device that utilizes an emotion engine, it achieves more accurate experience evaluation. A specific embodiment is shown below.

[0397] The server provides a database for securely storing user information and emotional data. This allows users to trust and entrust their personal and activity data to it. The terminal functions as an interface for user access and has an emotional engine application installed. The emotional engine reads the user's facial expressions and movements in real time through the terminal's camera, analyzes and quantifies their emotional state.

[0398] Users view activity information registered by activity providers through their devices and apply for their desired activities. While the activity is taking place, the device continuously analyzes emotional data and prepares it for transmission to the server. After the activity ends, users use their devices to send performance data and emotional data to the server. The server analyzes this data using a generative AI model and provides a point evaluation for the user. This evaluation is also used as feedback for activity providers when planning future activities.

[0399] As a concrete example, when a user participates in a local volunteer event, their enjoyment and sense of fulfillment are captured in real time through the device's camera. After the activity, the AI ​​calculates additional points based on high satisfaction levels, thereby increasing user motivation and providing improvement suggestions to the organization providing the activity. For this reason, an example of a prompt message provided to the user might be: "Participate in a local event planning volunteer activity and use the emotion engine to evaluate your satisfaction level during the activity. We will analyze in real time whether you are enjoying the activity."

[0400] As a result, the system of the present invention enables participants to evaluate their experiences based on their emotions, thereby promoting improved user satisfaction and continuous improvement for activity providers.

[0401] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0402] Step 1:

[0403] The user accesses the system via their device and downloads the emotion engine application. The input is the user's device information and system access information, and the output is the downloaded application. This allows the user to utilize individual emotion analysis functions within the app.

[0404] Step 2:

[0405] The terminal retrieves activity information registered by the activity-providing organization from the server and displays it to the user. The input is the activity information stored on the server, and the output is a list of activities displayed on the user's terminal. The user reviews this list and selects and applies for the desired activities.

[0406] Step 3:

[0407] The user participates in a selected activity, and emotional data is collected through the device's camera during the activity. The input is the user's facial expressions and movement data, and the output is analyzed emotional data. The device uses an emotion engine in real time to quantify this data and measure satisfaction with the activity.

[0408] Step 4:

[0409] Once an activity is complete, the user inputs activity outcome data via their device and sends it to the server. Input consists of the user's outcome report and sentiment data, while output is the transmission of data to the server. This ensures that all activity data is securely stored.

[0410] Step 5:

[0411] The server uses a generative AI model to evaluate the emotional data and activity results submitted by the user. The input is the user's emotional data and activity results stored on the server, and the output is the evaluation result from the AI. The AI ​​analyzes this data to provide an overall evaluation of the user's contribution to the activity and satisfaction level.

[0412] Step 6:

[0413] The server calculates the points earned based on the evaluation results and reflects them in the user's account. The input is the AI-generated evaluation result, and the output is the updated user point balance. Users can check their points via their device and redeem them for cash or rewards as needed.

[0414] (Application Example 2)

[0415] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0416] In modern society, food delivery services are extremely convenient for consumers, but there is a lack of means to accurately measure customer satisfaction and use that information to improve services. Traditional delivery services have often resulted in ambiguous feedback, making it difficult to directly reflect customer emotions. Furthermore, methods for providing incentives based on customer satisfaction are limited. In this context, it is crucial to utilize sentiment analysis to provide a more appropriate customer experience evaluation and feedback system.

[0417] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0418] In this invention, the server includes a device for users to participate in provided activities and input activity results, a device for evaluating the user's emotional state using emotion analysis technology, and a device for generating artificial intelligence that automatically evaluates the results based on the provided activity data and emotional state. This makes it possible to grasp the emotional state of customers in food delivery services in real time and to provide points and feedback according to satisfaction levels.

[0419] "Users" refer to the people who use the system, and their behavioral and emotional data are the subjects whose data is used to evaluate the system.

[0420] An "activity" refers to a series of processes or events in which a user participates and takes action, and is subject to evaluation.

[0421] "Emotion analysis technology" is a technology that estimates and quantitatively evaluates a user's emotional state based on their facial expressions and behavioral data.

[0422] "Results" refer to the outcomes and effects obtained by users participating in an activity, and serve as the basis for evaluation.

[0423] "Generated artificial intelligence" refers to software that automatically makes decisions based on input data and performs evaluations and recommendations.

[0424] "Points" refer to numerical rewards calculated by the system and awarded to the user.

[0425] "Currency" refers to something that has actual monetary value and can be exchanged through points earned by users.

[0426] "Rewards" refer to specific benefits such as money or services that users receive as a result of participating in activities and being evaluated positively.

[0427] "Activity information" refers to detailed information about activities registered in the system, and is data necessary for users to decide whether or not to participate.

[0428] A "group" refers to an organization or group that registers activity information and sets conditions in advance.

[0429] "Feedback" refers to improvement suggestions and evaluations provided to the management based on the user's emotional state and activity results.

[0430] "Service improvement" refers to the process of using feedback on activities to make subsequent activities and experiences better.

[0431] "Contribution level" is a measure that indicates an evaluation based on the usefulness and results demonstrated by the user through their activities.

[0432] "Satisfaction level" refers to an evaluation of an activity or service based on the user's emotional state.

[0433] "Reward rank" refers to a hierarchy that indicates the type and level of rewards provided based on the user's contribution and satisfaction level.

[0434] An "honorary title" refers to a symbolic status or title bestowed upon a user in recognition of their contributions and achievements.

[0435] A system implementing this invention mainly consists of a server, a user terminal, and software that implements emotion analysis technology.

[0436] The server receives data from organizations and groups that register activity information and stores the activity conditions in a related database. Next, the generated artificial intelligence processes the sentiment analysis data and activity outcome data sent by the user and performs an evaluation. The evaluation results are accumulated as a score associated with the user's profile.

[0437] When users receive food deliveries or participate in activities, they use their smartphones or other devices to acquire emotional data in real time using cameras and emotion analysis engines (such as Affectiva SDK). The acquired emotional data is sent to a server, where a generative AI model calculates an emotion score. This allows for an accurate evaluation of user satisfaction and contribution.

[0438] For example, when a user receives a food delivery, their facial expression is captured by the device's camera, and if the emotion analysis indicates a high level of satisfaction, additional points are awarded. These points can be exchanged for other rewards or benefits in the future. Furthermore, user feedback is provided to the store, contributing to service improvement.

[0439] An example of a prompt is, "Please describe an app that analyzes a user's facial expressions when they receive a delivery and generates feedback based on their satisfaction level." Based on such prompts, the AI ​​generates appropriate feedback, leading to increased satisfaction.

[0440] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0441] Step 1:

[0442] The user receives activity information. The terminal receives activity information sent from the server and displays it to the user. Based on this information, the user selects activities to participate in and submits a registration. The input here is activity information from the server, which is then processed to make it visible to the user. The output is the activity information selected by the user.

[0443] Step 2:

[0444] The user participates in the activity and inputs emotional data. The device's camera captures the user's facial expressions in real time, and this data is analyzed using emotion analysis technology. The input is video data acquired by the camera, and the emotion analysis engine outputs numerical emotional data. This information is temporarily stored.

[0445] Step 3:

[0446] The server evaluates the emotional data. The server receives emotional data and activity outcome data from the terminal, and the generated artificial intelligence performs an evaluation based on this data. The input is emotional data and activity outcome data, and the output is the user's evaluation score. The server refers to a database, compares it to past evaluations, and creates the necessary evaluation criteria.

[0447] Step 4:

[0448] The system notifies the user of their evaluation results and awards points. The server calculates the points to be allocated to the user based on their evaluation score and notifies the user of the result. The input is the user's evaluation score, and the output is information about the points awarded. These points are recorded by the user as redeemable in the future.

[0449] Step 5:

[0450] This system generates and sends feedback. Based on sentiment analysis and activity results, feedback is automatically generated from the system and sent to the organization that registered the activity information. The input is comprehensive analysis data, and the output is feedback information including improvement suggestions. Specifically, prompt sentences are entered into the generating AI model, which then retrieves and sends the optimal feedback.

[0451] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0452] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0453] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0454] [Third Embodiment]

[0455] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0456] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0457] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0458] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0459] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0460] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0461] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0462] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0463] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0464] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0465] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0466] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0467] This invention is implemented as a system in which users can participate in volunteer activities, have their results automatically evaluated by artificial intelligence, and receive rewards. The specific operation is described below.

[0468] The terminal provides a means for the user to access the system and register a profile. The terminal sends this information to the server, which stores the user's information in a database.

[0469] Organizations offering volunteer activities register details of their activities using a terminal. This information includes the activity name, content, conditions, and number of volunteers needed. The terminal sends this information to a server, which stores the activity information in a database. This allows users to search for these activities within the system.

[0470] When a user selects a volunteer activity they are interested in on their device and submits an application, the device sends this information to a server. The server verifies the information and notifies the organization recruiting the activity about the user's data. The organization then verifies and approves the attendees.

[0471] Upon completion of a volunteer activity, the user uses a terminal to enter a progress report. The report describes the activity's results and the goals achieved. The terminal sends this progress report to a server, where the generated artificial intelligence evaluates it.

[0472] The artificial intelligence on the server analyzes the user's contribution based on the given data and generates an evaluation score. Once the evaluation is complete, the server calculates points based on the results. These points are awarded to the user's account and used as rewards.

[0473] Users can check the points they have been awarded through their device. They can then convert their accumulated points into cash or exchange them for rewards offered within the system. This allows users to clearly receive rewards for the results of their activities.

[0474] As a concrete example, consider a case where a user participates in a local cleanup activity. After the activity, the user submits a report on their progress via their device and receives a high rating from the generated artificial intelligence. As a result, the server awards the user 100 points. These points can be used to purchase public transportation tickets or groceries, and receiving this reward motivates the user to participate in future activities.

[0475] In this way, the present invention operates as a system that appropriately evaluates the results of volunteer activities and provides concrete rewards to users. This is expected to improve the motivation of activity participants and strengthen the sustainability of social contribution activities.

[0476] The following describes the processing flow.

[0477] Step 1:

[0478] Users access the system using their devices and register their profiles. They enter the required information and select their areas of volunteer interest. The device then sends this information to the server.

[0479] Step 2:

[0480] The server verifies the user's input information and registers it in the database. After registration is complete, a registration completion notification is sent to the user.

[0481] Step 3:

[0482] Volunteer groups use terminals to register information about their activities in the system. They enter the activity name, details, number of volunteers needed, location, and date and time, and the terminal sends that information to the server.

[0483] Step 4:

[0484] The server stores activity information in a database and makes it publicly available for other users to search. This allows prospective participants to find the activities.

[0485] Step 5:

[0486] The user selects an activity they wish to participate in from their device and submits a registration form. The device then sends this registration information to the server.

[0487] Step 6:

[0488] The server receives the application and notifies the volunteer organization. The organization reviews the application and approves or rejects the participant.

[0489] Step 7:

[0490] After participating in an activity, users create a results report using their device. They input the report details into their device and send it to the server.

[0491] Step 8:

[0492] The server receives the results report and uses the generated artificial intelligence to evaluate the report's contents. The AI ​​analyzes the report content and related data to generate an evaluation score.

[0493] Step 9:

[0494] The server calculates points to award to the user based on their evaluation score. These points are then reflected in the user's account.

[0495] Step 10:

[0496] The user checks the points they have earned through their device and processes the process of converting them into cash or exchanging them for specific rewards. The device sends the request to the server.

[0497] Step 11:

[0498] The server processes the point exchange request and provides the corresponding reward to the user. Once the reward transaction is complete, the user's point balance is updated.

[0499] (Example 1)

[0500] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0501] The current situation lacks a system in place to properly evaluate individual contributions to volunteer activities and provide concrete rewards as feedback. This is necessary to increase participant motivation and improve the sustainability of social contribution activities.

[0502] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0503] In this invention, the server includes means for users to register personal information using an operating device and search for activities they can participate in; means for activity providers to register activity information through the operating device and store that information in a recording device; and means for a generating AI model to evaluate the user's activity results, calculate a reward based on the evaluation result, and notify the user. This makes it possible for users to have their social contributions recognized and receive concrete rewards.

[0504] An "operating device" is a tool used by users or activity providers to access a system and input and retrieve information.

[0505] A "recording device" is equipment used to securely store user and activity information and retrieve it as needed.

[0506] A "generative AI model" is artificial intelligence used to evaluate the results of user activities, and it possesses the capabilities of data analysis and natural language processing.

[0507] "Personal information" refers to information such as the user's name, contact information, and interests that they register in the system, and is data that makes it possible to identify the user.

[0508] "Activity information" refers to detailed information such as the activity name, content, conditions, and number of participants registered by the activity provider in the system.

[0509] "Rewards" are the compensation given by the system to users when they participate in activities and achieve results, and are provided as points.

[0510] "Available rewards" refer to points that users have been awarded that can be exchanged for cash or goods.

[0511] A "reward tier" is a concept that indicates a hierarchy based on a user's contribution, where different titles and benefits are awarded according to their achievement level.

[0512] A "title" is an honorary title bestowed by the system based on a user's contribution, recognizing their efforts and achievements in participating in the activity.

[0513] This invention is implemented as a system in which users participating in volunteer activities can have their results evaluated and receive compensation. Specific embodiments are described below.

[0514] Users begin by accessing the system through a terminal. The terminal functions as a device for users to enter profile information and search for activities of interest. The personal information entered by the user is transmitted from the terminal to the server, which securely stores it in a recording device.

[0515] Activity information is registered by the organization using a terminal. On the terminal, they can enter detailed activity information, conditions, and the number of participants needed. This information is received by the server and stored in a recording device. This process makes the registered activity information searchable by users and notifies those who wish to participate.

[0516] After participating in volunteer activities, users can submit a report on their progress using their device. This report includes the results of the activity and the goals achieved. The report is sent to a server, where a generative AI model evaluates it. The AI ​​model uses natural language processing technology to analyze the report and generate an evaluation score.

[0517] The server analyzes the user's contribution based on this evaluation score and calculates reward points. The calculated points are immediately credited to the user's account, and the user can check their points on their device. These points can also be exchanged for cash or rewards within the system.

[0518] As a concrete example, a user participates in a local cleanup activity and inputs the results into a terminal. Based on this information, a generated AI model gives a high rating, and the server awards 100 points to the user. These points can be used for discounts on transportation or to purchase goods, helping to motivate the user to participate in future activities.

[0519] An example of a prompt to input into a generative AI model is, "What was my specific contribution to this volunteer activity, and how would it be evaluated?" Such prompts allow the AI ​​model to more precisely evaluate the level of contribution to the activity.

[0520] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0521] Step 1:

[0522] Users access the system using their devices and enter personal information. This information includes name, contact details, and areas of interest. This information is sent from the device to the server, which stores the entered data in a database. During this process, the validity of the data is verified and recorded as a new registration.

[0523] Step 2:

[0524] Organizations register activity information via a terminal. The input includes the activity name, activity details, participation requirements, and number of participants needed. The terminal sends this information to a server, which registers the activity information in a database. The data is managed by a unique activity ID, allowing users to search for it later.

[0525] Step 3:

[0526] The user searches for activities on their device and selects activities of interest. They can set search criteria and keywords for their desired activities as input. The device sends a search query to the server, which retrieves relevant activity information from its database and returns it to the device. This displays a suitable list of activities to the user.

[0527] Step 4:

[0528] The user applies to participate in their chosen activity. The required information includes the activity ID and the user ID. The terminal sends this application data to the server. The server receives the application and notifies the activity provider. The activity provider can then approve or take action.

[0529] Step 5:

[0530] After the activity is completed, the user submits a progress report using their device. The report includes information such as the activity's results, achieved goals, and impressions. The device sends this report to the server. A generative AI model on the server analyzes the report and performs an evaluation. The AI ​​model uses natural language processing technology to generate a score that evaluates the level of contribution.

[0531] Step 6:

[0532] The server calculates reward points using the evaluation score obtained by the generating AI model. The reward points are calculated using the user ID and evaluation score as input, and the data is processed accordingly. These points are immediately credited to the user's account, and the user can check their points through their device.

[0533] Step 7:

[0534] Users can view their awarded points on their device and choose to use them as rewards. Options are available to convert points into cash or exchange them for specific rewards. Upon entering a desired exchange, the server processes the request, converts the points, and records the transaction in the history.

[0535] (Application Example 1)

[0536] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0537] In volunteer activities, there is a lack of systems that ensure the safety of participants while appropriately evaluating the results of their activities and providing compensation. Furthermore, there are challenges in effectively achieving both safety management and performance evaluation.

[0538] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0539] In this invention, the server includes means for users to participate in activities and input their results, information processing means for automatically evaluating activity results, and means for acquiring location information during activities and sending emergency notifications. This makes it possible to provide rewards according to results while ensuring the safety of activity participants.

[0540] A "user" is an entity that participates in volunteer activities, reports on the results of those activities, and receives evaluation.

[0541] "Activity information" refers to data that details volunteer activities, including activity conditions and required skills.

[0542] An "information processing system" refers to a device or software that automatically performs evaluations based on provided activity information and user reports.

[0543] "Value" refers to points or rewards awarded to users based on the evaluation results of their activities.

[0544] "Monetization" refers to the process of converting assigned value into actual currency or goods.

[0545] "Means of acquiring location information during activity" refers to technologies or devices used to determine the user's current location during an activity.

[0546] The "means of sending emergency notifications" is a function that immediately sends alerts and location information to pre-set contacts when a user senses danger.

[0547] "Organization" refers to a group or institution that plans volunteer activities and provides information about those activities.

[0548] A "cloud service" is a system infrastructure that allows data to be stored via the internet and sent and received as needed.

[0549] "Reward rank" is an evaluation criterion that quantifies a user's contribution to volunteer activities and presents it in multiple levels.

[0550] An "honorary title" is a title or name bestowed upon a user when they receive a specific evaluation based on their activities or contributions.

[0551] The system for carrying out the present invention mainly consists of a server, a terminal, and a user. This system provides a series of processes for users to participate in volunteer activities and for their results to be evaluated and rewarded.

[0552] The server, as an information processing system, performs processing to evaluate the activity results submitted by the user. The AI ​​model on the server analyzes the result data received as input and quantifies the user's contribution. This quantified evaluation is returned as an evaluation score and awarded to the user as points. Furthermore, the server has the function to acquire the user's location information and automatically send notifications to pre-set contacts in case of emergencies. This function ensures the user's safety and enables a rapid response.

[0553] The terminal provides an interface for users to input information about their activities. The terminal uses GPS and communication functions to transmit the user's location information to the server. It also functions as a device for users to input and submit activity results. The terminal directly receives user instructions and transmits them to the server.

[0554] Users manage various information related to their activities through their devices. They can report details of the activities they participated in and check the points they earned as a result of their evaluation. Points can be redeemed for cash or exchanged for specific rewards, and are an important element that supports user motivation.

[0555] As a concrete example, if a user participates in a local cleanup activity and sends a detailed results report to the server via their device afterward, the server's generated AI model immediately analyzes the value of the activity. If the user prompts for information such as, "I participated in a local park cleanup activity and collected 10 bags of trash," the AI ​​model evaluates this information and calculates and awards points. 100 points based on the evaluation are registered to the user's account, and the user can use these points as transportation tickets.

[0556] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0557] Step 1:

[0558] Before participating in volunteer activities, users register a profile using a device. This registration includes information such as username, contact details, and preferred type of activity. The device sends this information to a server, which stores the user data in a database. This provides a foundation for users to search for available activities.

[0559] Step 2:

[0560] Organizations providing volunteer activities register their activity information using a terminal. This data includes the activity name, content, conditions, and number of volunteers needed. This information is sent from the terminal to a server, which stores the activity data in a database. This provides users with detailed information to select activities.

[0561] Step 3:

[0562] Users select activities they are interested in on their device and submit a registration form. This sends the user's selection information to the server via the device. The server receives this request and notifies the activity provider. The organization reviews the participant's information and determines if they are a good fit.

[0563] Step 4:

[0564] During volunteer activities, the device uses GPS functionality to acquire the user's location information in real time and transmit it to the server. This information is used to ensure the user's safety in emergencies. Specifically, it enables the rapid provision of necessary assistance based on the location information.

[0565] Step 5:

[0566] After completing an activity, the user uses their device to input a report of the activity's results. Information such as the goals achieved and the data collected during the activity is entered and sent to the server. The server's generated AI model receives this report and starts the evaluation process. Based on the input, it analyzes each element and quantifies the user's contribution.

[0567] Step 6:

[0568] The server calculates points based on the evaluation score obtained from the generated AI model and awards the results to the user. The server registers the calculation results to the user's account, allowing the user to check their points through their device. The points function as an incentive for the user.

[0569] Step 7:

[0570] Users can redeem awarded points for cash or exchange them for rewards through their devices. Specifically, they can choose from available reward options within the device application and complete the procedure to receive the selected reward. Through this process, users receive concrete rewards commensurate with the results of their activities.

[0571] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0572] This invention is implemented as a volunteer activity evaluation system equipped with an emotion engine that recognizes user emotions. This system allows users to participate in activities, input emotional data along with their results, and evaluate them. The specific operation is described below.

[0573] The server provides a database for securely storing any personal information, including user profile information and emotional data. Users access the system using their devices and download an emotion engine application to record changes in their emotions.

[0574] Activity providers register their activity conditions using a terminal and make the activity details public to users. Users apply for and participate in the activities they wish to attend. During the activity, an emotion engine on the terminal analyzes the user's emotions in real time from their facial expressions and behavioral data. This allows for the quantification of the user's emotional state during the activity, such as enjoyment and satisfaction.

[0575] Once an activity is completed, the user inputs an activity performance report and emotional data via their device and sends it to the server. The generated artificial intelligence evaluates the activity based on this data and calculates points according to the evaluation result. Emotional data is also taken into consideration in the point calculation. As a result, the system is designed so that users who perform activities that they find more satisfying earn more points.

[0576] The server then reflects the earned points in the user's account, and the user can check their point balance through their device. Earned points can be redeemed for cash or exchanged for specific rewards, which are managed on the device. Additionally, emotional data is used for feedback automatically generated by the system, and users can also send suggestions for improving activities to the organization.

[0577] As a concrete example, consider a scenario where a user participates in volunteering to plan a local event. This user's facial expressions are read via their device's camera during the activity, and an emotion engine is used to evaluate whether they are enjoying the activity. After the activity, the AI ​​analyzes this emotion data and the activity's results, awarding additional points based on high satisfaction. Furthermore, the organization can use the feedback provided by the system to improve future event planning.

[0578] Thus, the present invention enables a comprehensive evaluation that includes user emotional information, and is implemented as a system to improve the motivation of participants in volunteer activities. This system aims to improve the user's own satisfaction while supporting sustainable social contribution.

[0579] The following describes the processing flow.

[0580] Step 1:

[0581] The user accesses the system using their device and installs the emotion engine application along with their profile information. The emotion engine has the function of recording changes in the user's facial expressions and voice.

[0582] Step 2:

[0583] Volunteer groups use terminals to register details and conditions of their activities. This information is sent to a server and stored in a database.

[0584] Step 3:

[0585] The server publishes registered activity information, making it available for users to view and select. Users use their devices to select activities that interest them and register to participate.

[0586] Step 4:

[0587] Users whose participation is approved will participate in the activity on their device. During the activity, the emotion engine installed on the user's device will analyze the user's emotional state in real time and record the data.

[0588] Step 5:

[0589] After completing an activity, the user inputs activity results and emotional data on their device and sends it to the server. Emotional data includes satisfaction levels and stress levels during the activity.

[0590] Step 6:

[0591] The server uses generated artificial intelligence to analyze the results and sentiment data of the submitted activities. Based on this data, the AI ​​evaluates the user's contribution and generates a specific evaluation score.

[0592] Step 7:

[0593] The server awards points to users based on their evaluation score. If the sentiment data indicates user satisfaction, additional points are awarded and reflected in the user's account.

[0594] Step 8:

[0595] The user checks their point balance via their device and requests to exchange or redeem points as needed. The device sends this request to the server.

[0596] Step 9:

[0597] The server processes point exchange requests and provides the reward selected by the user. At the same time, the server analyzes sentiment data and provides feedback to volunteer organizations to improve their activities.

[0598] (Example 2)

[0599] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0600] In volunteer activities, accurately evaluating participants' subjective feelings and contributions to the activity is difficult, resulting in challenges in improving the quality of activities and maintaining participant motivation. In particular, there is a lack of mechanisms to capture changes in emotions in real time and to help participants enjoy the activity more.

[0601] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0602] In this invention, the server includes means for the user to input information and emotional state related to the activity via an associated device, means for analyzing the provided data based on the activity conditions and for a generating AI model to evaluate the activity results including the user's emotional data, and means for calculating points earned based on the evaluation results and enabling additional points based on emotional information. This enables highly accurate activity evaluation based on participants' emotions, leading to improved participant satisfaction and continuous improvement by the activity provider organization.

[0603] A "user" is an individual who participates in volunteer activities and provides emotional data and activity results to the system.

[0604] "Related devices" refer to devices used by users to input activity information and emotional states, and are terminals equipped with an emotion engine application.

[0605] "Activity conditions" refer to detailed information about the activity provided by the activity provider organization, including the date, time, location, and content of the activity, which the organization registers in the system and provides to the user.

[0606] A "generative AI model" is an artificial intelligence system that analyzes emotional data based on user input data and evaluates the results of activities.

[0607] "Emotional data" refers to quantified information that indicates the emotional state of a user, analyzed based on their facial expressions and actions.

[0608] "Evaluation results" refer to the quantified results of a comprehensive evaluation conducted by the generative AI model based on user emotion data and activity outcomes.

[0609] "Points earned" are a numerical value awarded to users based on the evaluation results of their activities, and can be used to redeem or exchange rewards.

[0610] An "activity provider organization" is a group or organization that plans volunteer activities and recruits participants.

[0611] This invention is an activity evaluation system that includes user emotion data, and by having the user participate in activities using a device that utilizes an emotion engine, it achieves more accurate experience evaluation. A specific embodiment is shown below.

[0612] The server provides a database for securely storing user information and emotional data. This allows users to trust and entrust their personal and activity data to it. The terminal functions as an interface for user access and has an emotional engine application installed. The emotional engine reads the user's facial expressions and movements in real time through the terminal's camera, analyzes and quantifies their emotional state.

[0613] Users view activity information registered by activity providers through their devices and apply for their desired activities. While the activity is taking place, the device continuously analyzes emotional data and prepares it for transmission to the server. After the activity ends, users use their devices to send performance data and emotional data to the server. The server analyzes this data using a generative AI model and provides a point evaluation for the user. This evaluation is also used as feedback for activity providers when planning future activities.

[0614] As a concrete example, when a user participates in a local volunteer event, their enjoyment and sense of fulfillment are captured in real time through the device's camera. After the activity, the AI ​​calculates additional points based on high satisfaction levels, thereby increasing user motivation and providing improvement suggestions to the organization providing the activity. For this reason, an example of a prompt message provided to the user might be: "Participate in a local event planning volunteer activity and use the emotion engine to evaluate your satisfaction level during the activity. We will analyze in real time whether you are enjoying the activity."

[0615] As a result, the system of the present invention enables participants to evaluate their experiences based on their emotions, thereby promoting improved user satisfaction and continuous improvement for activity providers.

[0616] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0617] Step 1:

[0618] The user accesses the system via their device and downloads the emotion engine application. The input is the user's device information and system access information, and the output is the downloaded application. This allows the user to utilize individual emotion analysis functions within the app.

[0619] Step 2:

[0620] The terminal retrieves activity information registered by the activity-providing organization from the server and displays it to the user. The input is the activity information stored on the server, and the output is a list of activities displayed on the user's terminal. The user reviews this list and selects and applies for the desired activities.

[0621] Step 3:

[0622] The user participates in a selected activity, and emotional data is collected through the device's camera during the activity. The input is the user's facial expressions and movement data, and the output is analyzed emotional data. The device uses an emotion engine in real time to quantify this data and measure satisfaction with the activity.

[0623] Step 4:

[0624] Once an activity is complete, the user inputs activity outcome data via their device and sends it to the server. Input consists of the user's outcome report and sentiment data, while output is the transmission of data to the server. This ensures that all activity data is securely stored.

[0625] Step 5:

[0626] The server uses a generative AI model to evaluate the emotional data and activity results submitted by the user. The input is the user's emotional data and activity results stored on the server, and the output is the evaluation result from the AI. The AI ​​analyzes this data to provide an overall evaluation of the user's contribution to the activity and satisfaction level.

[0627] Step 6:

[0628] The server calculates the points earned based on the evaluation results and reflects them in the user's account. The input is the AI-generated evaluation result, and the output is the updated user point balance. Users can check their points via their device and redeem them for cash or rewards as needed.

[0629] (Application Example 2)

[0630] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0631] In modern society, food delivery services are extremely convenient for consumers, but there is a lack of means to accurately measure customer satisfaction and use that information to improve services. Traditional delivery services have often resulted in ambiguous feedback, making it difficult to directly reflect customer emotions. Furthermore, methods for providing incentives based on customer satisfaction are limited. In this context, it is crucial to utilize sentiment analysis to provide a more appropriate customer experience evaluation and feedback system.

[0632] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0633] In this invention, the server includes a device for users to participate in provided activities and input activity results, a device for evaluating the user's emotional state using emotion analysis technology, and a device for generating artificial intelligence that automatically evaluates the results based on the provided activity data and emotional state. This makes it possible to grasp the emotional state of customers in food delivery services in real time and to provide points and feedback according to satisfaction levels.

[0634] "Users" refer to the people who use the system, and their behavioral and emotional data are the subjects whose data is used to evaluate the system.

[0635] An "activity" refers to a series of processes or events in which a user participates and takes action, and is subject to evaluation.

[0636] "Emotion analysis technology" is a technology that estimates and quantitatively evaluates a user's emotional state based on their facial expressions and behavioral data.

[0637] "Results" refer to the outcomes and effects obtained by users participating in an activity, and serve as the basis for evaluation.

[0638] "Generated artificial intelligence" refers to software that automatically makes decisions based on input data and performs evaluations and recommendations.

[0639] "Points" refer to numerical rewards calculated by the system and awarded to the user.

[0640] "Currency" refers to something that has actual monetary value and can be exchanged through points earned by users.

[0641] "Rewards" refer to specific benefits such as money or services that users receive as a result of participating in activities and being evaluated positively.

[0642] "Activity information" refers to detailed information about activities registered in the system, and is data necessary for users to decide whether or not to participate.

[0643] A "group" refers to an organization or group that registers activity information and sets conditions in advance.

[0644] "Feedback" refers to improvement suggestions and evaluations provided to the management based on the user's emotional state and activity results.

[0645] "Service improvement" refers to the process of using feedback on activities to make subsequent activities and experiences better.

[0646] "Contribution level" is a measure that indicates an evaluation based on the usefulness and results demonstrated by the user through their activities.

[0647] "Satisfaction level" refers to an evaluation of an activity or service based on the user's emotional state.

[0648] "Reward rank" refers to a hierarchy that indicates the type and level of rewards provided based on the user's contribution and satisfaction level.

[0649] An "honorary title" refers to a symbolic status or title bestowed upon a user in recognition of their contributions and achievements.

[0650] A system implementing this invention mainly consists of a server, a user terminal, and software that implements emotion analysis technology.

[0651] The server receives data from organizations and groups that register activity information and stores the activity conditions in a related database. Next, the generated artificial intelligence processes the sentiment analysis data and activity outcome data sent by the user and performs an evaluation. The evaluation results are accumulated as a score associated with the user's profile.

[0652] When users receive food deliveries or participate in activities, they use their smartphones or other devices to acquire emotional data in real time using cameras and emotion analysis engines (such as Affectiva SDK). The acquired emotional data is sent to a server, where a generative AI model calculates an emotion score. This allows for an accurate evaluation of user satisfaction and contribution.

[0653] For example, when a user receives a food delivery, their facial expression is captured by the device's camera, and if the emotion analysis indicates a high level of satisfaction, additional points are awarded. These points can be exchanged for other rewards or benefits in the future. Furthermore, user feedback is provided to the store, contributing to service improvement.

[0654] An example of a prompt is, "Please describe an app that analyzes a user's facial expressions when they receive a delivery and generates feedback based on their satisfaction level." Based on such prompts, the AI ​​generates appropriate feedback, leading to increased satisfaction.

[0655] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0656] Step 1:

[0657] The user receives activity information. The terminal receives activity information sent from the server and displays it to the user. Based on this information, the user selects activities to participate in and submits a registration. The input here is activity information from the server, which is then processed to make it visible to the user. The output is the activity information selected by the user.

[0658] Step 2:

[0659] The user participates in the activity and inputs emotional data. The device's camera captures the user's facial expressions in real time, and this data is analyzed using emotion analysis technology. The input is video data acquired by the camera, and the emotion analysis engine outputs numerical emotional data. This information is temporarily stored.

[0660] Step 3:

[0661] The server evaluates the emotional data. The server receives emotional data and activity outcome data from the terminal, and the generated artificial intelligence performs an evaluation based on this data. The input is emotional data and activity outcome data, and the output is the user's evaluation score. The server refers to a database, compares it to past evaluations, and creates the necessary evaluation criteria.

[0662] Step 4:

[0663] The system notifies the user of their evaluation results and awards points. The server calculates the points to be allocated to the user based on their evaluation score and notifies the user of the result. The input is the user's evaluation score, and the output is information about the points awarded. These points are recorded by the user as redeemable in the future.

[0664] Step 5:

[0665] This system generates and sends feedback. Based on sentiment analysis and activity results, feedback is automatically generated from the system and sent to the organization that registered the activity information. The input is comprehensive analysis data, and the output is feedback information including improvement suggestions. Specifically, prompt sentences are entered into the generating AI model, which then retrieves and sends the optimal feedback.

[0666] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0667] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0668] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0669] [Fourth Embodiment]

[0670] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0671] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0672] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0673] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0674] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0675] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0676] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0677] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0678] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0679] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0680] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0681] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0682] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0683] This invention is implemented as a system in which users can participate in volunteer activities, have their results automatically evaluated by artificial intelligence, and receive rewards. The specific operation is described below.

[0684] The terminal provides a means for the user to access the system and register a profile. The terminal sends this information to the server, which stores the user's information in a database.

[0685] Organizations offering volunteer activities register details of their activities using a terminal. This information includes the activity name, content, conditions, and number of volunteers needed. The terminal sends this information to a server, which stores the activity information in a database. This allows users to search for these activities within the system.

[0686] When a user selects a volunteer activity they are interested in on their device and submits an application, the device sends this information to a server. The server verifies the information and notifies the organization recruiting the activity about the user's data. The organization then verifies and approves the attendees.

[0687] Upon completion of a volunteer activity, the user uses a terminal to enter a progress report. The report describes the activity's results and the goals achieved. The terminal sends this progress report to a server, where the generated artificial intelligence evaluates it.

[0688] The artificial intelligence on the server analyzes the user's contribution based on the given data and generates an evaluation score. Once the evaluation is complete, the server calculates points based on the results. These points are awarded to the user's account and used as rewards.

[0689] Users can check the points they have been awarded through their device. They can then convert their accumulated points into cash or exchange them for rewards offered within the system. This allows users to clearly receive rewards for the results of their activities.

[0690] As a concrete example, consider a case where a user participates in a local cleanup activity. After the activity, the user submits a report on their progress via their device and receives a high rating from the generated artificial intelligence. As a result, the server awards the user 100 points. These points can be used to purchase public transportation tickets or groceries, and receiving this reward motivates the user to participate in future activities.

[0691] In this way, the present invention operates as a system that appropriately evaluates the results of volunteer activities and provides concrete rewards to users. This is expected to improve the motivation of activity participants and strengthen the sustainability of social contribution activities.

[0692] The following describes the processing flow.

[0693] Step 1:

[0694] Users access the system using their devices and register their profiles. They enter the required information and select their areas of volunteer interest. The device then sends this information to the server.

[0695] Step 2:

[0696] The server verifies the user's input information and registers it in the database. After registration is complete, a registration completion notification is sent to the user.

[0697] Step 3:

[0698] Volunteer groups use terminals to register information about their activities in the system. They enter the activity name, details, number of volunteers needed, location, and date and time, and the terminal sends that information to the server.

[0699] Step 4:

[0700] The server stores activity information in a database and makes it publicly available for other users to search. This allows prospective participants to find the activities.

[0701] Step 5:

[0702] The user selects an activity they wish to participate in from their device and submits a registration form. The device then sends this registration information to the server.

[0703] Step 6:

[0704] The server receives the application and notifies the volunteer organization. The organization reviews the application and approves or rejects the participant.

[0705] Step 7:

[0706] After participating in an activity, users create a results report using their device. They input the report details into their device and send it to the server.

[0707] Step 8:

[0708] The server receives the results report and uses the generated artificial intelligence to evaluate the report's contents. The AI ​​analyzes the report content and related data to generate an evaluation score.

[0709] Step 9:

[0710] The server calculates points to award to the user based on their evaluation score. These points are then reflected in the user's account.

[0711] Step 10:

[0712] The user checks the points they have earned through their device and processes the process of converting them into cash or exchanging them for specific rewards. The device sends the request to the server.

[0713] Step 11:

[0714] The server processes the point exchange request and provides the corresponding reward to the user. Once the reward transaction is complete, the user's point balance is updated.

[0715] (Example 1)

[0716] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0717] The current situation lacks a system in place to properly evaluate individual contributions to volunteer activities and provide concrete rewards as feedback. This is necessary to increase participant motivation and improve the sustainability of social contribution activities.

[0718] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0719] In this invention, the server includes means for users to register personal information using an operating device and search for activities they can participate in; means for activity providers to register activity information through the operating device and store that information in a recording device; and means for a generating AI model to evaluate the user's activity results, calculate a reward based on the evaluation result, and notify the user. This makes it possible for users to have their social contributions recognized and receive concrete rewards.

[0720] An "operating device" is a tool used by users or activity providers to access a system and input and retrieve information.

[0721] A "recording device" is equipment used to securely store user and activity information and retrieve it as needed.

[0722] A "generative AI model" is artificial intelligence used to evaluate the results of user activities, and it possesses the capabilities of data analysis and natural language processing.

[0723] "Personal information" refers to information such as the user's name, contact information, and interests that they register in the system, and is data that makes it possible to identify the user.

[0724] "Activity information" refers to detailed information such as the activity name, content, conditions, and number of participants registered by the activity provider in the system.

[0725] "Rewards" are the compensation given by the system to users when they participate in activities and achieve results, and are provided as points.

[0726] "Available rewards" refer to points that users have been awarded that can be exchanged for cash or goods.

[0727] A "reward tier" is a concept that indicates a hierarchy based on a user's contribution, where different titles and benefits are awarded according to their achievement level.

[0728] A "title" is an honorary title bestowed by the system based on a user's contribution, recognizing their efforts and achievements in participating in the activity.

[0729] This invention is implemented as a system in which users participating in volunteer activities can have their results evaluated and receive compensation. Specific embodiments are described below.

[0730] Users begin by accessing the system through a terminal. The terminal functions as a device for users to enter profile information and search for activities of interest. The personal information entered by the user is transmitted from the terminal to the server, which securely stores it in a recording device.

[0731] Activity information is registered by the organization using a terminal. On the terminal, they can enter detailed activity information, conditions, and the number of participants needed. This information is received by the server and stored in a recording device. This process makes the registered activity information searchable by users and notifies those who wish to participate.

[0732] After participating in volunteer activities, users can submit a report on their progress using their device. This report includes the results of the activity and the goals achieved. The report is sent to a server, where a generative AI model evaluates it. The AI ​​model uses natural language processing technology to analyze the report and generate an evaluation score.

[0733] The server analyzes the user's contribution based on this evaluation score and calculates reward points. The calculated points are immediately credited to the user's account, and the user can check their points on their device. These points can also be exchanged for cash or rewards within the system.

[0734] As a concrete example, a user participates in a local cleanup activity and inputs the results into a terminal. Based on this information, a generated AI model gives a high rating, and the server awards 100 points to the user. These points can be used for discounts on transportation or to purchase goods, helping to motivate the user to participate in future activities.

[0735] An example of a prompt to input into a generative AI model is, "What was my specific contribution to this volunteer activity, and how would it be evaluated?" Such prompts allow the AI ​​model to more precisely evaluate the level of contribution to the activity.

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

[0737] Step 1:

[0738] Users access the system using their devices and enter personal information. This information includes name, contact details, and areas of interest. This information is sent from the device to the server, which stores the entered data in a database. During this process, the validity of the data is verified and recorded as a new registration.

[0739] Step 2:

[0740] Organizations register activity information via a terminal. The input includes the activity name, activity details, participation requirements, and number of participants needed. The terminal sends this information to a server, which registers the activity information in a database. The data is managed by a unique activity ID, allowing users to search for it later.

[0741] Step 3:

[0742] The user searches for activities on their device and selects activities of interest. They can set search criteria and keywords for their desired activities as input. The device sends a search query to the server, which retrieves relevant activity information from its database and returns it to the device. This displays a suitable list of activities to the user.

[0743] Step 4:

[0744] The user applies to participate in their chosen activity. The required information includes the activity ID and the user ID. The terminal sends this application data to the server. The server receives the application and notifies the activity provider. The activity provider can then approve or take action.

[0745] Step 5:

[0746] After the activity is completed, the user submits a progress report using their device. The report includes information such as the activity's results, achieved goals, and impressions. The device sends this report to the server. A generative AI model on the server analyzes the report and performs an evaluation. The AI ​​model uses natural language processing technology to generate a score that evaluates the level of contribution.

[0747] Step 6:

[0748] The server calculates reward points using the evaluation score obtained by the generating AI model. The reward points are calculated using the user ID and evaluation score as input, and the data is processed accordingly. These points are immediately credited to the user's account, and the user can check their points through their device.

[0749] Step 7:

[0750] Users can view their awarded points on their device and choose to use them as rewards. Options are available to convert points into cash or exchange them for specific rewards. Upon entering a desired exchange, the server processes the request, converts the points, and records the transaction in the history.

[0751] (Application Example 1)

[0752] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0753] In volunteer activities, there is a lack of systems that ensure the safety of participants while appropriately evaluating the results of their activities and providing compensation. Furthermore, there are challenges in effectively achieving both safety management and performance evaluation.

[0754] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0755] In this invention, the server includes means for users to participate in activities and input their results, information processing means for automatically evaluating activity results, and means for acquiring location information during activities and sending emergency notifications. This makes it possible to provide rewards according to results while ensuring the safety of activity participants.

[0756] A "user" is an entity that participates in volunteer activities, reports on the results of those activities, and receives evaluation.

[0757] "Activity information" refers to data that details volunteer activities, including activity conditions and required skills.

[0758] An "information processing system" refers to a device or software that automatically performs evaluations based on provided activity information and user reports.

[0759] "Value" refers to points or rewards awarded to users based on the evaluation results of their activities.

[0760] "Monetization" refers to the process of converting assigned value into actual currency or goods.

[0761] "Means of acquiring location information during activity" refers to technologies or devices used to determine the user's current location during an activity.

[0762] The "means of sending emergency notifications" is a function that immediately sends alerts and location information to pre-set contacts when a user senses danger.

[0763] "Organization" refers to a group or institution that plans volunteer activities and provides information about those activities.

[0764] A "cloud service" is a system infrastructure that allows data to be stored via the internet and sent and received as needed.

[0765] "Reward rank" is an evaluation criterion that quantifies a user's contribution to volunteer activities and presents it in multiple levels.

[0766] An "honorary title" is a title or name bestowed upon a user when they receive a specific evaluation based on their activities or contributions.

[0767] The system for carrying out the present invention mainly consists of a server, a terminal, and a user. This system provides a series of processes for users to participate in volunteer activities and for their results to be evaluated and rewarded.

[0768] The server, as an information processing system, performs processing to evaluate the activity results submitted by the user. The AI ​​model on the server analyzes the result data received as input and quantifies the user's contribution. This quantified evaluation is returned as an evaluation score and awarded to the user as points. Furthermore, the server has the function to acquire the user's location information and automatically send notifications to pre-set contacts in case of emergencies. This function ensures the user's safety and enables a rapid response.

[0769] The terminal provides an interface for users to input information about their activities. The terminal uses GPS and communication functions to transmit the user's location information to the server. It also functions as a device for users to input and submit activity results. The terminal directly receives user instructions and transmits them to the server.

[0770] Users manage various information related to their activities through their devices. They can report details of the activities they participated in and check the points they earned as a result of their evaluation. Points can be redeemed for cash or exchanged for specific rewards, and are an important element that supports user motivation.

[0771] As a concrete example, if a user participates in a local cleanup activity and sends a detailed results report to the server via their device afterward, the server's generated AI model immediately analyzes the value of the activity. If the user prompts for information such as, "I participated in a local park cleanup activity and collected 10 bags of trash," the AI ​​model evaluates this information and calculates and awards points. 100 points based on the evaluation are registered to the user's account, and the user can use these points as transportation tickets.

[0772] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0773] Step 1:

[0774] Before participating in volunteer activities, users register a profile using a device. This registration includes information such as username, contact details, and preferred type of activity. The device sends this information to a server, which stores the user data in a database. This provides a foundation for users to search for available activities.

[0775] Step 2:

[0776] Organizations providing volunteer activities register their activity information using a terminal. This data includes the activity name, content, conditions, and number of volunteers needed. This information is sent from the terminal to a server, which stores the activity data in a database. This provides users with detailed information to select activities.

[0777] Step 3:

[0778] Users select activities they are interested in on their device and submit a registration form. This sends the user's selection information to the server via the device. The server receives this request and notifies the activity provider. The organization reviews the participant's information and determines if they are a good fit.

[0779] Step 4:

[0780] During volunteer activities, the device uses GPS functionality to acquire the user's location information in real time and transmit it to the server. This information is used to ensure the user's safety in emergencies. Specifically, it enables the rapid provision of necessary assistance based on the location information.

[0781] Step 5:

[0782] After completing an activity, the user uses their device to input a report of the activity's results. Information such as the goals achieved and the data collected during the activity is entered and sent to the server. The server's generated AI model receives this report and starts the evaluation process. Based on the input, it analyzes each element and quantifies the user's contribution.

[0783] Step 6:

[0784] The server calculates points based on the evaluation score obtained from the generated AI model and awards the results to the user. The server registers the calculation results to the user's account, allowing the user to check their points through their device. The points function as an incentive for the user.

[0785] Step 7:

[0786] Users can redeem awarded points for cash or exchange them for rewards through their devices. Specifically, they can choose from available reward options within the device application and complete the procedure to receive the selected reward. Through this process, users receive concrete rewards commensurate with the results of their activities.

[0787] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0788] This invention is implemented as a volunteer activity evaluation system equipped with an emotion engine that recognizes user emotions. This system allows users to participate in activities, input emotional data along with their results, and evaluate them. The specific operation is described below.

[0789] The server provides a database for securely storing any personal information, including user profile information and emotional data. Users access the system using their devices and download an emotion engine application to record changes in their emotions.

[0790] Activity providers register their activity conditions using a terminal and make the activity details public to users. Users apply for and participate in the activities they wish to attend. During the activity, an emotion engine on the terminal analyzes the user's emotions in real time from their facial expressions and behavioral data. This allows for the quantification of the user's emotional state during the activity, such as enjoyment and satisfaction.

[0791] Once an activity is completed, the user inputs an activity performance report and emotional data via their device and sends it to the server. The generated artificial intelligence evaluates the activity based on this data and calculates points according to the evaluation result. Emotional data is also taken into consideration in the point calculation. As a result, the system is designed so that users who perform activities that they find more satisfying earn more points.

[0792] The server then reflects the earned points in the user's account, and the user can check their point balance through their device. Earned points can be redeemed for cash or exchanged for specific rewards, which are managed on the device. Additionally, emotional data is used for feedback automatically generated by the system, and users can also send suggestions for improving activities to the organization.

[0793] As a concrete example, consider a scenario where a user participates in volunteering to plan a local event. This user's facial expressions are read via their device's camera during the activity, and an emotion engine is used to evaluate whether they are enjoying the activity. After the activity, the AI ​​analyzes this emotion data and the activity's results, awarding additional points based on high satisfaction. Furthermore, the organization can use the feedback provided by the system to improve future event planning.

[0794] Thus, the present invention enables a comprehensive evaluation that includes user emotional information, and is implemented as a system to improve the motivation of participants in volunteer activities. This system aims to improve the user's own satisfaction while supporting sustainable social contribution.

[0795] The following describes the processing flow.

[0796] Step 1:

[0797] The user accesses the system using their device and installs the emotion engine application along with their profile information. The emotion engine has the function of recording changes in the user's facial expressions and voice.

[0798] Step 2:

[0799] Volunteer groups use terminals to register details and conditions of their activities. This information is sent to a server and stored in a database.

[0800] Step 3:

[0801] The server publishes registered activity information, making it available for users to view and select. Users use their devices to select activities that interest them and register to participate.

[0802] Step 4:

[0803] Users whose participation is approved will participate in the activity on their device. During the activity, the emotion engine installed on the user's device will analyze the user's emotional state in real time and record the data.

[0804] Step 5:

[0805] After completing an activity, the user inputs activity results and emotional data on their device and sends it to the server. Emotional data includes satisfaction levels and stress levels during the activity.

[0806] Step 6:

[0807] The server uses generated artificial intelligence to analyze the results and sentiment data of the submitted activities. Based on this data, the AI ​​evaluates the user's contribution and generates a specific evaluation score.

[0808] Step 7:

[0809] The server awards points to users based on their evaluation score. If the sentiment data indicates user satisfaction, additional points are awarded and reflected in the user's account.

[0810] Step 8:

[0811] The user checks their point balance via their device and requests to exchange or redeem points as needed. The device sends this request to the server.

[0812] Step 9:

[0813] The server processes point exchange requests and provides the reward selected by the user. At the same time, the server analyzes sentiment data and provides feedback to volunteer organizations to improve their activities.

[0814] (Example 2)

[0815] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0816] In volunteer activities, accurately evaluating participants' subjective feelings and contributions to the activity is difficult, resulting in challenges in improving the quality of activities and maintaining participant motivation. In particular, there is a lack of mechanisms to capture changes in emotions in real time and to help participants enjoy the activity more.

[0817] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0818] In this invention, the server includes means for the user to input information and emotional state related to the activity via an associated device, means for analyzing the provided data based on the activity conditions and for a generating AI model to evaluate the activity results including the user's emotional data, and means for calculating points earned based on the evaluation results and enabling additional points based on emotional information. This enables highly accurate activity evaluation based on participants' emotions, leading to improved participant satisfaction and continuous improvement by the activity provider organization.

[0819] A "user" is an individual who participates in volunteer activities and provides emotional data and activity results to the system.

[0820] "Related devices" refer to devices used by users to input activity information and emotional states, and are terminals equipped with an emotion engine application.

[0821] "Activity conditions" refer to detailed information about the activity provided by the activity provider organization, including the date, time, location, and content of the activity, which the organization registers in the system and provides to the user.

[0822] A "generative AI model" is an artificial intelligence system that analyzes emotional data based on user input data and evaluates the results of activities.

[0823] "Emotional data" refers to quantified information that indicates the emotional state of a user, analyzed based on their facial expressions and actions.

[0824] "Evaluation results" refer to the quantified results of a comprehensive evaluation conducted by the generative AI model based on user emotion data and activity outcomes.

[0825] "Points earned" are a numerical value awarded to users based on the evaluation results of their activities, and can be used to redeem or exchange rewards.

[0826] An "activity provider organization" is a group or organization that plans volunteer activities and recruits participants.

[0827] This invention is an activity evaluation system that includes user emotion data, and by having the user participate in activities using a device that utilizes an emotion engine, it achieves more accurate experience evaluation. A specific embodiment is shown below.

[0828] The server provides a database for securely storing user information and emotional data. This allows users to trust and entrust their personal and activity data to it. The terminal functions as an interface for user access and has an emotional engine application installed. The emotional engine reads the user's facial expressions and movements in real time through the terminal's camera, analyzes and quantifies their emotional state.

[0829] Users view activity information registered by activity providers through their devices and apply for their desired activities. While the activity is taking place, the device continuously analyzes emotional data and prepares it for transmission to the server. After the activity ends, users use their devices to send performance data and emotional data to the server. The server analyzes this data using a generative AI model and provides a point evaluation for the user. This evaluation is also used as feedback for activity providers when planning future activities.

[0830] As a concrete example, when a user participates in a local volunteer event, their enjoyment and sense of fulfillment are captured in real time through the device's camera. After the activity, the AI ​​calculates additional points based on high satisfaction levels, thereby increasing user motivation and providing improvement suggestions to the organization providing the activity. For this reason, an example of a prompt message provided to the user might be: "Participate in a local event planning volunteer activity and use the emotion engine to evaluate your satisfaction level during the activity. We will analyze in real time whether you are enjoying the activity."

[0831] As a result, the system of the present invention enables participants to evaluate their experiences based on their emotions, thereby promoting improved user satisfaction and continuous improvement for activity providers.

[0832] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0833] Step 1:

[0834] The user accesses the system via their device and downloads the emotion engine application. The input is the user's device information and system access information, and the output is the downloaded application. This allows the user to utilize individual emotion analysis functions within the app.

[0835] Step 2:

[0836] The terminal retrieves activity information registered by the activity-providing organization from the server and displays it to the user. The input is the activity information stored on the server, and the output is a list of activities displayed on the user's terminal. The user reviews this list and selects and applies for the desired activities.

[0837] Step 3:

[0838] The user participates in a selected activity, and emotional data is collected through the device's camera during the activity. The input is the user's facial expressions and movement data, and the output is analyzed emotional data. The device uses an emotion engine in real time to quantify this data and measure satisfaction with the activity.

[0839] Step 4:

[0840] Once an activity is complete, the user inputs activity outcome data via their device and sends it to the server. Input consists of the user's outcome report and sentiment data, while output is the transmission of data to the server. This ensures that all activity data is securely stored.

[0841] Step 5:

[0842] The server uses a generative AI model to evaluate the emotional data and activity results submitted by the user. The input is the user's emotional data and activity results stored on the server, and the output is the evaluation result from the AI. The AI ​​analyzes this data to provide an overall evaluation of the user's contribution to the activity and satisfaction level.

[0843] Step 6:

[0844] The server calculates the points earned based on the evaluation results and reflects them in the user's account. The input is the AI-generated evaluation result, and the output is the updated user point balance. Users can check their points via their device and redeem them for cash or rewards as needed.

[0845] (Application Example 2)

[0846] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0847] In modern society, food delivery services are extremely convenient for consumers, but there is a lack of means to accurately measure customer satisfaction and use that information to improve services. Traditional delivery services have often resulted in ambiguous feedback, making it difficult to directly reflect customer emotions. Furthermore, methods for providing incentives based on customer satisfaction are limited. In this context, it is crucial to utilize sentiment analysis to provide a more appropriate customer experience evaluation and feedback system.

[0848] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0849] In this invention, the server includes a device for users to participate in provided activities and input activity results, a device for evaluating the user's emotional state using emotion analysis technology, and a device for generating artificial intelligence that automatically evaluates the results based on the provided activity data and emotional state. This makes it possible to grasp the emotional state of customers in food delivery services in real time and to provide points and feedback according to satisfaction levels.

[0850] "Users" refer to the people who use the system, and their behavioral and emotional data are the subjects whose data is used to evaluate the system.

[0851] An "activity" refers to a series of processes or events in which a user participates and takes action, and is subject to evaluation.

[0852] "Emotion analysis technology" is a technology that estimates and quantitatively evaluates a user's emotional state based on their facial expressions and behavioral data.

[0853] "Results" refer to the outcomes and effects obtained by users participating in an activity, and serve as the basis for evaluation.

[0854] "Generated artificial intelligence" refers to software that automatically makes decisions based on input data and performs evaluations and recommendations.

[0855] "Points" refer to numerical rewards calculated by the system and awarded to the user.

[0856] "Currency" refers to something that has actual monetary value and can be exchanged through points earned by users.

[0857] "Rewards" refer to specific benefits such as money or services that users receive as a result of participating in activities and being evaluated positively.

[0858] "Activity information" refers to detailed information about activities registered in the system, and is data necessary for users to decide whether or not to participate.

[0859] A "group" refers to an organization or group that registers activity information and sets conditions in advance.

[0860] "Feedback" refers to improvement suggestions and evaluations provided to the management based on the user's emotional state and activity results.

[0861] "Service improvement" refers to the process of using feedback on activities to make subsequent activities and experiences better.

[0862] "Contribution level" is a measure that indicates an evaluation based on the usefulness and results demonstrated by the user through their activities.

[0863] "Satisfaction level" refers to an evaluation of an activity or service based on the user's emotional state.

[0864] "Reward rank" refers to a hierarchy that indicates the type and level of rewards provided based on the user's contribution and satisfaction level.

[0865] An "honorary title" refers to a symbolic status or title bestowed upon a user in recognition of their contributions and achievements.

[0866] A system implementing this invention mainly consists of a server, a user terminal, and software that implements emotion analysis technology.

[0867] The server receives data from organizations and groups that register activity information and stores the activity conditions in a related database. Next, the generated artificial intelligence processes the sentiment analysis data and activity outcome data sent by the user and performs an evaluation. The evaluation results are accumulated as a score associated with the user's profile.

[0868] When users receive food deliveries or participate in activities, they use their smartphones or other devices to acquire emotional data in real time using cameras and emotion analysis engines (such as Affectiva SDK). The acquired emotional data is sent to a server, where a generative AI model calculates an emotion score. This allows for an accurate evaluation of user satisfaction and contribution.

[0869] For example, when a user receives a food delivery, their facial expression is captured by the device's camera, and if the emotion analysis indicates a high level of satisfaction, additional points are awarded. These points can be exchanged for other rewards or benefits in the future. Furthermore, user feedback is provided to the store, contributing to service improvement.

[0870] An example of a prompt is, "Please describe an app that analyzes a user's facial expressions when they receive a delivery and generates feedback based on their satisfaction level." Based on such prompts, the AI ​​generates appropriate feedback, leading to increased satisfaction.

[0871] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0872] Step 1:

[0873] The user receives activity information. The terminal receives activity information sent from the server and displays it to the user. Based on this information, the user selects activities to participate in and submits a registration. The input here is activity information from the server, which is then processed to make it visible to the user. The output is the activity information selected by the user.

[0874] Step 2:

[0875] The user participates in the activity and inputs emotional data. The device's camera captures the user's facial expressions in real time, and this data is analyzed using emotion analysis technology. The input is video data acquired by the camera, and the emotion analysis engine outputs numerical emotional data. This information is temporarily stored.

[0876] Step 3:

[0877] The server evaluates the emotional data. The server receives emotional data and activity outcome data from the terminal, and the generated artificial intelligence performs an evaluation based on this data. The input is emotional data and activity outcome data, and the output is the user's evaluation score. The server refers to a database, compares it to past evaluations, and creates the necessary evaluation criteria.

[0878] Step 4:

[0879] The system notifies the user of their evaluation results and awards points. The server calculates the points to be allocated to the user based on their evaluation score and notifies the user of the result. The input is the user's evaluation score, and the output is information about the points awarded. These points are recorded by the user as redeemable in the future.

[0880] Step 5:

[0881] This system generates and sends feedback. Based on sentiment analysis and activity results, feedback is automatically generated from the system and sent to the organization that registered the activity information. The input is comprehensive analysis data, and the output is feedback information including improvement suggestions. Specifically, prompt sentences are entered into the generating AI model, which then retrieves and sends the optimal feedback.

[0882] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0883] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0884] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0885] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0886] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0887] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0888] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0889] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0890] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0891] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0892] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0893] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0894] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0895] 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.

[0896] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0897] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0898] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0899] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0900] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0901] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0902] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0903] The following is further disclosed regarding the embodiments described above.

[0904] (Claim 1)

[0905] A means for users to participate in activities and input their results,

[0906] A means by which artificial intelligence generated based on the provided activity data automatically evaluates the results,

[0907] A means of calculating and awarding points to users based on their evaluation,

[0908] A means of redeeming awarded points for cash or rewards,

[0909] A system that includes this.

[0910] (Claim 2)

[0911] A means for organizations to register activity information to access the system and set activity conditions,

[0912] A means of notifying users who wish to participate of activity information and accepting their participation applications,

[0913] The system according to claim 1, comprising:

[0914] (Claim 3)

[0915] It provides a means to visualize user contributions and generate reward ranks.

[0916] This includes means by which users can earn specific honorary titles based on their rank.

[0917] The system according to claim 1.

[0918] "Example 1"

[0919] (Claim 1)

[0920] A means for users to register personal information using an operating device and search for activities they can participate in,

[0921] A means by which an activity provider registers activity information through an operating device and stores that information in a recording device,

[0922] A means by which a generating AI model evaluates the user's activity results, calculates a reward based on the evaluation results, and notifies the user,

[0923] A means for users to exchange the rewards they have been given for usable rewards,

[0924] A system that includes this.

[0925] (Claim 2)

[0926] The system according to claim 1, comprising means for the activity provider to set condition information, notify participants of that information, and store registration data in a recording device.

[0927] (Claim 3)

[0928] The system according to claim 1, comprising an analytical means for quantifying the user's contribution and generating a reward hierarchy, and a means for the user to acquire a specific title according to the hierarchy.

[0929] "Application Example 1"

[0930] (Claim 1)

[0931] A means for users to participate in activities and input their results,

[0932] A means by which an information processing system generated based on the provided activity information automatically evaluates the activity results,

[0933] A means of calculating value based on evaluation and assigning it to the user,

[0934] A means of converting the granted value into cash or exchanging it for a reward,

[0935] A means of obtaining location information during activity and sending emergency notifications,

[0936] A system that includes this.

[0937] (Claim 2)

[0938] A means for an organization to register activity information to access the system and set activity conditions,

[0939] A means of notifying users who wish to participate of activity information and accepting their participation applications,

[0940] A means of transmitting location information to a cloud service,

[0941] The system according to claim 1, comprising:

[0942] (Claim 3)

[0943] It provides a means to visualize user contributions and generate reward ranks.

[0944] This includes means by which users can earn specific honorary titles based on their rank.

[0945] Including emergency communication methods aimed at ensuring safety during activities,

[0946] The system according to claim 1.

[0947] "Example 2 of combining an emotion engine"

[0948] (Claim 1)

[0949] A means by which the user inputs information about their activities and emotional state via an associated device,

[0950] A means of analyzing data provided based on activity conditions, and having a generated AI model evaluate activity outcomes including user emotion data,

[0951] A means to calculate points earned based on evaluation results and enable additional points based on emotional information,

[0952] A means for users to check their earned points and exchange them for cash or rewards,

[0953] A means of processing evaluation data by computer and providing feedback to the activity provider organization,

[0954] A system that includes this.

[0955] (Claim 2)

[0956] A means for organizations to access and register conditions by setting detailed activity information on an online system,

[0957] A means of providing users with activity information and managing participation applications,

[0958] The system according to claim 1, comprising means for improving the planning of the next activity using feedback.

[0959] (Claim 3)

[0960] The system according to claim 1, comprising means for providing a visualized evaluation based on user sentiment data and activity contribution results, and for awarding rewards or honorary titles.

[0961] "Application example 2 of combining emotional engines"

[0962] (Claim 1)

[0963] A device that allows users to participate in provided activities and input activity results,

[0964] A device that uses emotion analysis technology to evaluate the user's emotional state,

[0965] A device that automatically evaluates results based on the provided activity data and emotional state using generated artificial intelligence,

[0966] A device that calculates and awards points to users based on evaluation,

[0967] A device for exchanging awarded points for money or rewards,

[0968] A system that includes this.

[0969] (Claim 2)

[0970] A device that allows a group to register activity information to access the system and set activity conditions,

[0971] A device that notifies users who wish to participate of activity information and accepts applications for participation,

[0972] The system according to claim 1, comprising a device that generates feedback based on the user's emotional state and contributes to service improvement.

[0973] (Claim 3)

[0974] It is equipped with a device that visualizes user contribution and satisfaction based on emotional analysis, and generates reward ranks.

[0975] Includes a device that allows users to earn specific honorary titles based on their rank,

[0976] The system according to claim 1. [Explanation of Symbols]

[0977] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for users to participate in activities and input their results, A means by which artificial intelligence generated based on the provided activity data automatically evaluates the results, A means of calculating and awarding points to users based on their evaluation, A means of redeeming awarded points for cash or rewards, A system that includes this.

2. A means for organizations to register activity information to access the system and set activity conditions, A means of notifying users who wish to participate of activity information and accepting their participation applications, The system according to claim 1, comprising:

3. It provides a means to visualize user contributions and generate reward ranks. This includes means by which users can earn specific honorary titles based on their rank. The system according to claim 1.

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