system

Abstract

We provide the system. [Solution] A means of receiving user input information, A means to simulate the optimal allocation of donations based on the donation amount, A means of recommending return gifts based on past history and preferences, A means to automatically execute the donation process when the user approves the proposed plan, 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 persona chatbot control method performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 For individuals who make hometown tax payments, it is difficult to efficiently optimize the donation amount and maximize tax deductions, and it is difficult to select an appropriate local government or return gift from many options. In addition, the donation procedure is complicated and time-consuming, which is a particularly heavy burden on busy people. This is the reason why many people hesitate to utilize hometown tax payments. 【Means for Solving the Problems】 【0005】 This invention provides a system that automatically simulates the optimal allocation of donations based on information entered by the user. Furthermore, it has a recommendation function for return gifts that takes into account past donation history and user preferences, and executes a fully automated donation procedure based on the plan approved by the user. This achieves efficiency in the donation process, optimization of choices, and reduction of the burden on the user. 【0006】 A "means for receiving user input information" refers to an interface for obtaining information entered by a user into the system and using that information for subsequent processing. 【0007】 "A method for simulating the optimal allocation of donations based on the donation amount" is a process that calculates the donation allocation plan with the highest tax deduction effect from multiple options, based on the donation amount set by the user. 【0008】 "A means of recommending return gifts based on past history and preferences" refers to a function that analyzes a user's past donation behavior and preference trends and suggests appropriate return gifts accordingly. 【0009】 "A mechanism to automatically execute donation procedures when a user approves a presented plan" refers to a system where, after a user approves an optimized donation plan, the system completes all donation-related procedures without requiring manual intervention. [Brief explanation of the drawing] 【0010】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0011】 Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings. 【0012】 First, let's explain the terminology used in the following explanation. 【0013】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0014】 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. 【0015】 In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. 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. 【0016】 In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0017】 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." 【0018】 [First Embodiment] 【0019】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0020】 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. 【0021】 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). 【0022】 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. 【0023】 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. 【0024】 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. 【0025】 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. 【0026】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0027】 As shown in Figure 2, in the data processing device 12, 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. 【0028】 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. 【0029】 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. 【0030】 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". 【0031】 This invention is a system for users to efficiently make hometown tax donations. Based on information provided by the user, this system calculates the optimal allocation of donation funds and also has a function to suggest return gifts that match the user's past behavior and preferences. In addition, it can automatically execute the plan approved by the user and complete the donation procedure. 【0032】 The embodiment will be described in detail. A user accesses the system using a terminal and enters the donation amount and the category of the desired return gift. The terminal receives this information and sends it to the server. Based on the received information, the server collects necessary information from related Furusato Nozei (hometown tax donation) websites and databases and starts the optimization process. 【0033】 The AI ​​agent on the server simulates how to distribute a user's donation to multiple municipalities in a way that maximizes tax deductions. Based on the simulation results, it creates donation allocation proposals for each municipality. At the same time, it analyzes past user behavior and recommends return gifts that are suitable for the user's preferences. This ensures that the recommendations are consistently positive and reliable. 【0034】 The user's device receives and presents these optimized donation plans and gift lists. The user reviews them and, if satisfied, presses the approve button. The server receives this approval and proceeds with the donation process fully automatically. Specifically, it accesses each local government's online donation portal, enters the necessary information, and completes the donation. This series of steps frees users from the complexities of the donation process, allowing them to make hometown tax donations quickly and effectively. 【0035】 The system's implementation incorporates features that maximize user convenience while also ensuring that donations contribute to the local communities of the recipient municipalities. This is expected to encourage greater use of the hometown tax system and contribute to the development of local communities. 【0036】 The following describes the processing flow. 【0037】 Step 1: 【0038】 The user accesses the system through their device and enters the amount they wish to donate and the type of return gift they desire. The device temporarily stores this information locally and then sends it to the server. 【0039】 Step 2: 【0040】 The server receives user input and collects relevant information from related hometown tax donation websites and databases. This includes, for example, lists of return gifts offered by each local government and past user reviews. The server filters this information, removing duplicate and unnecessary data. 【0041】 Step 3: 【0042】 The AI ​​agent on the server starts a simulation based on the filtered data. Specifically, it calculates how much of the donation should be allocated to which municipality in order to maximize the tax deduction effect of the donation. The results of this simulation are recorded internally. 【0043】 Step 4: 【0044】 The server analyzes the user's past donation history and preferences and recommends relevant return gifts based on that. The AI ​​agent refers to online reviews and user ratings and lists the highest-rated return gifts. 【0045】 Step 5: 【0046】 The server sends the calculated donation allocation plan and a list of recommended reward items to the user's device. The device displays this information to the user in an easy-to-understand format, allowing the user to review the plan. 【0047】 Step 6: 【0048】 The user reviews the presented plan and, if they accept it, presses the accept button on their device. The device then sends this user action to the server. 【0049】 Step 7: 【0050】 The server, upon user approval, automatically initiates the donation process. The AI ​​agent accesses each local government's donation system and enters the user's information and donation amount. This completes the donation process, eliminating the need for the user to track or verify anything further. 【0051】 (Example 1) 【0052】 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." 【0053】 There is a challenge in reducing the burden on users by simplifying the complex procedures involved in making hometown tax donations, suggesting optimal donation allocations that provide the best tax deductions, and proposing return gifts that suit the user's preferences. Furthermore, it is necessary to reduce the time and effort involved in making donations by automating these processes. 【0054】 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. 【0055】 In this invention, the server includes means for receiving user input information, means for using artificial intelligence to calculate the optimal allocation of donations based on the donation amount, and means for recommending return gifts based on past history and preferences. This makes it possible for users to easily optimize their donation allocation and receive return gifts that suit their preferences. 【0056】 "User input information" refers to information that users provide to the system via their device to specify the donation amount and the category of their desired return gift. 【0057】 "Artificial intelligence for calculating the optimal allocation of donations based on the donation amount" refers to artificial intelligence technology used to distribute donations across multiple regions and perform calculations to maximize tax deductions. 【0058】 "Means of recommending return gifts based on past history and preferences" refers to a function that analyzes a user's past donation history and preferences and suggests appropriate return gifts based on the user's interests. 【0059】 "A means of automatically executing the donation process based on user approval" refers to a function that allows the system to automatically start and complete the donation process after the user has approved the presented donation plan. 【0060】 "Methods for automating access to donation recipients" refers to a function where the system automatically accesses the donation portals in each region, enters the necessary information, and completes the donation. 【0061】 "Means for visualizing donation allocation calculation results and a list of return gifts" refers to a function that visually displays to users the optimized donation allocation results and a list of selected return gifts. 【0062】 This invention is a system aimed at making the hometown tax donation process smoother, and in particular, it automates the process of optimizing the allocation of donations based on user input information and proposing return gifts based on preferences. 【0063】 Users input the total amount they wish to donate and the category of their desired return gift into the system via their device. The device then sends the entered information to a server. This system operates with the server at its core, where it utilizes a generated AI model. The server uses a specialized artificial intelligence model to calculate the optimal distribution based on the donation amount, seeking a configuration that divides the donation among multiple local organizations to maximize tax deductions. This optimization process includes machine learning models and database management software that run on the cloud. 【0064】 Next, the server analyzes the user's past donation history and preference data to generate a list of reward items tailored to each user's preferences. The generated information is displayed visually on the user's device, allowing the user to view the details. 【0065】 Once the user reviews and approves the proposed plan, the server automatically proceeds with the donation process. Specifically, the server accesses the online system of each donation recipient, enters the necessary information, and performs the necessary steps to complete the donation. This step utilizes web crawlers and automated input assistance software. 【0066】 For example, if a user enters the prompt "I would like to donate 30,000 yen and receive daily necessities as a return gift," the server will effectively allocate the 30,000 yen and generate a list of the most suitable return gifts for the user. In this case, a specific example of a prompt would be the instruction, "Please recommend daily necessities as a return gift for a 30,000 yen hometown tax donation." 【0067】 Overall, this system aims to provide an environment where users can make donations more easily and effectively by eliminating cumbersome procedures. 【0068】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0069】 Step 1: 【0070】 The user uses a terminal to enter the amount they wish to donate and the category of the desired return gift. The terminal sends this input information to the server. The input is the donation amount and the return gift category, and the output is an information package sent to the server. Here, the terminal formats the user's input to make it easier for the server to process. 【0071】 Step 2: 【0072】 The server uses an AI model to calculate the optimal distribution of donations based on information received from users. Specifically, it performs an optimal simulation of distributing donations to multiple recipients from the perspective of maximizing tax deductions. The input is the total amount of donations from users, and the output is the optimal donation distribution plan for each municipality. The server uses machine learning algorithms to calculate the optimization for maximizing tax deductions. 【0073】 Step 3: 【0074】 The server analyzes the user's past behavior history and lists reward items based on their preferences. This takes the user's donation history data as input and outputs a recommended list of reward items based on that data. The server uses a recommendation engine to select reward items that match the user's preferences. 【0075】 Step 4: 【0076】 The server sends the generated donation allocation plan and reward list to the user's terminal. The terminal then visually presents this information to the user. The input is the donation allocation plan and reward list from the server, and the output is the information displayed on the user's screen. The terminal renders the received data in a format suitable for the user interface. 【0077】 Step 5: 【0078】 The user reviews the presented plan and approves it. When the user presses the approve button, that information is sent to the server via the device. The input is the user's approval action, and the output is the approval notification sent to the server. Here, the device is responsible for sending information to the server triggered by the user's action. 【0079】 Step 6: 【0080】 The server, upon user approval, automatically proceeds with the donation process. Specifically, the server accesses each local government's online platform, enters the necessary information, and completes the donation. The input consists of instructions and donation allocation proposals obtained from user approval, and the output is a confirmation of the completed donation process. The server uses web automation tools to send the data to the online donation portal. 【0081】 (Application Example 1) 【0082】 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." 【0083】 When making a donation through the Furusato Nozei (hometown tax) system, many users struggle with determining the optimal allocation of their donation amount and selecting the right return gifts. This makes the donation process complicated and time-consuming, and also makes it difficult to maximize tax deductions. Furthermore, there is a growing need to simplify the donation process through digital platforms. 【0084】 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. 【0085】 In this invention, the server includes means for receiving user input information, means for simulating the optimal allocation of donations based on the donation amount, and means for recommending return gifts based on past history and preferences. This allows users to easily select the optimal donation plan and return gifts without having to go through complex donation procedures, thereby maximizing tax deductions. 【0086】 "User input information" refers to information provided by the user through their device, such as the donation amount and the desired category of return gift. 【0087】 "A method for simulating the distribution of donations" is a process that calculates the optimal recipient from multiple candidates based on the donation amount specified by the user. 【0088】 "A method for recommending return gifts" refers to a function that analyzes the user's past selection history and preferences to suggest the most suitable return gift for that user. 【0089】 "Means for automatically executing donation procedures" refers to a process that efficiently completes user-approved donation-related actions. 【0090】 "A means of optimizing donation information on information processing equipment and visualizing proposals" refers to a function that uses digital devices to present the optimal donation plan in an easily viewable format. 【0091】 "Means of completing a donation via information processing equipment" refers to a method of completing a user's donation intention as an actual procedure through operations performed on a device. 【0092】 The system for implementing this invention comprises a user terminal, a server, and an associated digital platform. The user terminal is an information processing device such as a smartphone, which can receive user input information through an application. The user enters the donation amount and the category of the desired return gift, and this information is transmitted to the server. 【0093】 The server uses software such as Python and TENSORFLOW® to simulate the optimal allocation of donations based on the donation amount and recommends return gifts based on the user's past history and preferences. This generates optimized donation plans and customized return gift suggestions for the user. The generated suggestions are visually displayed on an information processing device for the user to review. 【0094】 As a concrete example, if a user selects a donation amount of 50,000 yen and food as their desired return gift category, the server will perform an optimal donation simulation based on past data and present a proposed allocation to the local government to maximize tax deductions, along with a list of food items that match their preferences. Once the user approves this, the donation process is automatically initiated through the terminal, and the donation is completed via the information processing equipment. 【0095】 This allows users to efficiently make hometown tax donations without feeling overwhelmed, and to maximize the benefits of tax deductions. An example of a prompt would be: "Generate a plan that suggests the best return gift based on the user's past preferences and maximizes the tax deduction for the donation." 【0096】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0097】 Step 1: 【0098】 The terminal receives input information from the user. This input includes the donation amount and the category of the desired return gift. The terminal sends this information to the server. The input is the user's preference, and the output is the input information sent to the server. 【0099】 Step 2: 【0100】 The server simulates the optimal distribution of donations based on the received user information. This utilizes tax deduction information from the database to generate a distribution plan that maximizes tax deductions by distributing the donations across multiple municipalities. The input is the user's donation amount and the tax information from the database, and the output is the optimized donation distribution plan. 【0101】 Step 3: 【0102】 The server uses a generative AI model to recommend reward items based on the user's past history and preferences. It takes prompt text as input to the model and outputs a list of reward items tailored to the user. The input consists of the user's history data and prompt text, while the output is a customized list of reward items. 【0103】 Step 4: 【0104】 The server sends optimized donation plans and reward lists to a terminal for visual display on the information processing device. The terminal receives this information and presents it to the user visually. The input is the optimized plan and list from the server, and the output is the display to the user. 【0105】 Step 5: 【0106】 When the user is satisfied with the presented plan and approves it, the device sends this approval information to the server. The input is the user's approval action, and the output is the approval information sent to the server. 【0107】 Step 6: 【0108】 Upon receiving approval information, the server accesses each local government's online donation portal, automatically fills in the necessary information, and completes the donation process. The input is the approval information, and the output is the completed donation process. 【0109】 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. 【0110】 This invention relates to a system that provides users making hometown tax donations with optimal allocation of donations and recommendations for return gifts, and further incorporates an emotion engine that recognizes the user's emotions and reflects their feedback. The aim of this system is to make the donation process more comfortable and satisfying for users. 【0111】 The embodiment is described in detail. The user accesses the system through a terminal and enters the amount they wish to donate and the category of the return gift. This data is immediately sent to the server, which collects the necessary related data. At this time, the server uses an emotion engine to analyze the user's input speed, selections, and behavior during the operation, and infers their emotional state. 【0112】 The AI ​​agent on the server incorporates emotional information into the process of calculating the optimal allocation to maximize tax deductions on donations, based on the collected data. For example, it has a mechanism that prioritizes recommending return gifts in categories that the user has shown interest in, based on an emotional engine. 【0113】 Subsequently, emotion-based interface optimization is performed. The server adjusts the tone of visual templates and guidance text according to the user's emotional state, providing a more comfortable operating environment for the user. 【0114】 For example, if a user enters "I would like to donate 30,000 yen and receive food as a return gift," and provides positive feedback during the process, the server will use the user's positive emotions to present a donation plan that highlights highly-regarded local specialty foods. In this way, by utilizing emotional information, users can enjoy more suitable options. 【0115】 Once the user approves the presented plan, the server automatically initiates the donation process. The server's AI agent accesses the local government's donation website and completes the donation by entering the necessary information. This entire process provides users with an efficient and emotionally resonant donation experience. 【0116】 The following describes the processing flow. 【0117】 Step 1: 【0118】 The user accesses the system using a terminal and enters the amount they wish to donate and the category of the desired reward. The terminal receives the entered information and sends it to the server. The terminal also records the user's input speed and mouse movements and sends this data to the emotion engine for analysis. 【0119】 Step 2: 【0120】 The server collects necessary information from relevant databases and hometown tax donation websites based on the user's input. This includes donation conditions and lists of return gifts for each municipality. Simultaneously, an emotion engine on the server analyzes the user's interaction data to infer the user's emotional state. 【0121】 Step 3: 【0122】 The AI ​​agent on the server calculates the optimal allocation of donations based on collected data and the user's emotional state. During this process, it prioritizes including reward items that the user is likely to be interested in. Furthermore, emotion-based tuning is performed to create a donation plan that suits the user's preferences. 【0123】 Step 4: 【0124】 The server sends the device a calculated donation allocation plan and a list of rewards selected based on the user's emotions. The device then presents this information to the user through a visual interface customized with colors and designs appropriate to their emotional state. 【0125】 Step 5: 【0126】 The user reviews the presented plan and, if they wish to approve it, clicks the approve button through their device. The emotion engine records the user's reaction at this moment and accumulates data to improve future interactions. 【0127】 Step 6: 【0128】 Upon user approval, the server automatically initiates the donation process. An AI agent accesses the appropriate local government's donation website, enters the necessary information, and completes the process. The user does not need to track this process and can confirm completion through notifications. 【0129】 (Example 2) 【0130】 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". 【0131】 The act of donating through the Furusato Nozei (hometown tax) system can be complex and burdensome for users. Furthermore, there is the challenge of selecting the optimal donation allocation and return gifts that reflect users' emotions and preferences. Therefore, there is a need to provide a system that allows users to have a more comfortable and satisfying donation experience. 【0132】 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. 【0133】 In this invention, the server includes means for receiving user input information, means for calculating the optimal allocation of donations based on the donation amount, means for inferring the user's emotional state using an information processing device, means for recommending donation candidates and return gifts based on the user's emotional state, and means for automating the donation procedure when the user approves the presented plan. This enables users to easily and effectively make hometown tax donations through an emotionally sensitive donation experience. 【0134】 "User input information" refers to data such as the donation amount and the category of return gift that the user provides to the system. 【0135】 "A method for calculating the optimal allocation of donations" is a mechanism that calculates the most effective allocation based on the donation amount, thereby maximizing tax-saving effects. 【0136】 An "information processing device" refers to electronic devices and software used to process and analyze data. A server is an example of this. 【0137】 "Means for inferring a user's emotional state" refers to algorithms or processes that determine emotions based on the user's input actions and other factors. 【0138】 "A method for recommending donation options and return gifts" refers to a method of presenting the most suitable donation plan and return gift based on the user's preferences and emotions. 【0139】 "Means of automating the donation process" refers to a system function that automatically executes the donation application process based on user approval. 【0140】 This invention is a system that assists users in optimally allocating their donations and selecting return gifts when making hometown tax donations. Furthermore, it provides an experience that takes into account the user's emotional state. This system is built around terminals and servers and utilizes technologies such as generative AI models and emotion engines. 【0141】 The server receives information such as donation amounts and gift categories entered by users from their devices. The information entered by users is transmitted to the server in real time. The server analyzes the received information and uses a generative AI model to calculate the optimal allocation of donations. It also utilizes an emotion engine to infer the user's emotional state based on their input speed and selection tendencies. 【0142】 The server evaluates donation options and rewards based on the user's emotions and recommends the best choice. The visual interface is also adjusted according to the user's emotions. If positive emotions are detected, bright colors and friendly tones are used. 【0143】 As a concrete example, consider a case where a user enters "I would like to donate 30,000 yen and receive food as a return gift." Based on this information, the server generates a donation plan that maximizes tax deductions and uses an emotion engine to infer the user's emotional state. If the user provides positive feedback, the server presents a plan that highlights highly-rated local food products. This prompt might use information such as "The donation amount is 30,000 yen, and the user is interested in the food category" and "The user's emotions during the interaction appear positive and joyful." 【0144】 Once the user approves the proposed plan, the server automatically completes the donation process and sends a notification to the user. This entire process allows users to enjoy an efficient and satisfying donation experience. 【0145】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0146】 Step 1: 【0147】 Users access the donation platform through their device and enter the amount they wish to donate and the category of the return gift. The input data, including the amount and category, is generated. The device receives the entered data and sends it to the server as structured data. 【0148】 Step 2: 【0149】 The server receives input information sent from the terminal and retrieves a list of relevant donation plans and reward options from the database. Input includes the donation amount and reward category. This data is used with a generative AI model to calculate and output the optimal donation allocation. The calculation results are prepared as a plan that maximizes the user's tax deductions. 【0150】 Step 3: 【0151】 The server uses an emotion engine to analyze the user's input speed and selection tendencies during operation and infer the user's emotional state. The input data used is the user's keystroke data and selection information. The result of the emotion inference is output as data indicating whether the user is in a positive, negative, or neutral emotional state. 【0152】 Step 4: 【0153】 The server considers the output data of the user's emotional state and optimizes donation plans and reward lists in line with the user's emotions. A generative AI model prioritizes recommending options the user is likely to prefer and generates an interface that visually matches the user's emotions. Plans and lists are provided, and visual templates are adjusted. 【0154】 Step 5: 【0155】 The user reviews and selects or approves optimized donation plans and reward options presented by the server. The user's actions generate the selection results. The information from the selected plan is used in the next step. 【0156】 Step 6: 【0157】 Based on the plan approved by the user, the server automates the donation process. The user's selections function as input data, and the server enters the necessary information into the local government's donation acceptance system. Upon confirmation of the completion of the process, the user is notified of the results. 【0158】 By following these steps, users can make efficient and emotionally resonant donations. 【0159】 (Application Example 2) 【0160】 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." 【0161】 In the modern online donation process, it is difficult for users to experience emotional satisfaction, and the overwhelming number of choices often complicates the donation process. Traditional donation systems do not take into account the emotional state of users and cannot individually optimize the donation experience. As a result, the satisfaction users derive from donating and the relevance of the choices they receive may decrease, potentially leading to a decline in donation behavior. 【0162】 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. 【0163】 In this invention, the server includes means for receiving user input information, means for simulating the optimal distribution of donations based on the donation amount, means for recommending return gifts based on past history and preferences, means for estimating the user's emotional state using emotion recognition technology and optimizing the user interface based on that information, and means for automatically executing the donation procedure when the user approves the presented plan. This enables an optimal donation experience tailored to the user's emotional state. 【0164】 "User input information" refers to the data and instructions that users provide to the system. 【0165】 "Emotion recognition technology" is a technology that estimates a user's emotional state by analyzing their facial expressions and input behavior. 【0166】 An "interface" is the visual and functional framework that allows a user to interact with a system. 【0167】 "Means for simulating the distribution of donations" refers to a device or process for calculating the optimal distribution of donations based on the input donation amount. 【0168】 "Means of recommending return gifts" refers to a device or process for presenting the most suitable return gift based on the user's past history and preferences. 【0169】 "Means for automatically executing donation procedures" refers to a device or process that allows the system to automatically complete the necessary donation processing based on the donation plan selected by the user. 【0170】 The system for carrying out this invention employs the following means. The user accesses the system using a dedicated terminal or smartphone. When the user enters the amount they wish to donate and the category of the return gift, this information is sent to the server. The server processes the user input information in real time and estimates the user's emotional state from their facial expressions and input speed using emotion recognition technology. This utilizes facial recognition libraries such as OpenCV and generative AI models. 【0171】 The server effectively recommends reward items based on collected sentiment data and the user's past history and preferences. Furthermore, it utilizes AI algorithms to maximize tax deductions by simulating the allocation of donation funds. As a result, a donation plan optimized for the user is presented. The interface is also adjusted according to the user's emotions, so the most visually appropriate display method is selected. 【0172】 As a concrete example, consider a case where a user makes a donation on a holiday. If the user enters "I would like to donate 50,000 yen and would like a tourism-related gift in return," and displays a relaxed expression during the process, the server will provide a donation plan that emphasizes the benefits of a tourist destination appropriate for the season, based on the user's relaxed mood. 【0173】 An example of a prompt message is: "This user appears relaxed. Recommend seasonal tourist destination perks." In this way, you can provide a donation experience that is tailored to the user's emotional state. 【0174】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0175】 Step 1: 【0176】 The terminal receives input information from the user regarding the donation amount and the category of the return gift. The input data consists of numerical information and category selection information, which is then sent to the server. The input data format is a data structure that the system can process, such as JSON or XML. 【0177】 Step 2: 【0178】 The server analyzes user information received from the terminal. Based on the input data, it estimates the user's emotional state using emotion recognition technology. Specifically, it processes the user's facial image using OpenCV and applies an emotion model to calculate the emotional state. The output of this calculation is emotion data. 【0179】 Step 3: 【0180】 The server recommends the most suitable reward based on collected sentiment data, past history, and preference data. This process uses a generative AI model to select rewards that match the user's interests and preferences. The resulting output is a list of rewards presented to the user. 【0181】 Step 4: 【0182】 The server simulates the optimal allocation of donations. This involves calculations using the entered donation amount and tax deduction information, with an AI algorithm determining the best donation plan. The output then provides details of the donation plan. 【0183】 Step 5: 【0184】 The user reviews and approves the presented donation plan. If approved, the decision is sent to the server via the device. 【0185】 Step 6: 【0186】 The server automatically executes the donation process based on user approval. This includes accessing the relevant donation page and entering the required information. A confirmation notification is sent to the user upon completion of the process. The output shows the status of the donation process completion. 【0187】 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. 【0188】 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. 【0189】 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. 【0190】 [Second Embodiment] 【0191】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0192】 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. 【0193】 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). 【0194】 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. 【0195】 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. 【0196】 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). 【0197】 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. 【0198】 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. 【0199】 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. 【0200】 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. 【0201】 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. 【0202】 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". 【0203】 This invention is a system for users to efficiently make hometown tax donations. Based on information provided by the user, this system calculates the optimal allocation of donation funds and also has a function to suggest return gifts that match the user's past behavior and preferences. In addition, it can automatically execute the plan approved by the user and complete the donation procedure. 【0204】 The embodiment will be described in detail. A user accesses the system using a terminal and enters the donation amount and the category of the desired return gift. The terminal receives this information and sends it to the server. Based on the received information, the server collects necessary information from related Furusato Nozei (hometown tax donation) websites and databases and starts the optimization process. 【0205】 The AI ​​agent on the server simulates how to distribute a user's donation to multiple municipalities in a way that maximizes tax deductions. Based on the simulation results, it creates donation allocation proposals for each municipality. At the same time, it analyzes past user behavior and recommends return gifts that are suitable for the user's preferences. This ensures that the recommendations are consistently positive and reliable. 【0206】 The user's device receives and presents these optimized donation plans and gift lists. The user reviews them and, if satisfied, presses the approve button. The server receives this approval and proceeds with the donation process fully automatically. Specifically, it accesses each local government's online donation portal, enters the necessary information, and completes the donation. This series of steps frees users from the complexities of the donation process, allowing them to make hometown tax donations quickly and effectively. 【0207】 The system's implementation incorporates features that maximize user convenience while also ensuring that donations contribute to the local communities of the recipient municipalities. This is expected to encourage greater use of the hometown tax system and contribute to the development of local communities. 【0208】 The following describes the processing flow. 【0209】 Step 1: 【0210】 The user accesses the system through their device and enters the amount they wish to donate and the type of return gift they desire. The device temporarily stores this information locally and then sends it to the server. 【0211】 Step 2: 【0212】 The server receives user input and collects relevant information from related hometown tax donation websites and databases. This includes, for example, lists of return gifts offered by each local government and past user reviews. The server filters this information, removing duplicate and unnecessary data. 【0213】 Step 3: 【0214】 The AI ​​agent on the server starts a simulation based on the filtered data. Specifically, it calculates how much of the donation should be allocated to which municipality in order to maximize the tax deduction effect of the donation. The results of this simulation are recorded internally. 【0215】 Step 4: 【0216】 The server analyzes the user's past donation history and preferences and recommends relevant return gifts based on that. The AI ​​agent refers to online reviews and user ratings and lists the highest-rated return gifts. 【0217】 Step 5: 【0218】 The server sends the calculated donation allocation plan and a list of recommended reward items to the user's device. The device displays this information to the user in an easy-to-understand format, allowing the user to review the plan. 【0219】 Step 6: 【0220】 The user reviews the presented plan and, if they accept it, presses the accept button on their device. The device then sends this user action to the server. 【0221】 Step 7: 【0222】 The server, upon user approval, automatically initiates the donation process. The AI ​​agent accesses each local government's donation system and enters the user's information and donation amount. This completes the donation process, eliminating the need for the user to track or verify anything further. 【0223】 (Example 1) 【0224】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0225】 There is a challenge in reducing the burden on users by simplifying the complex procedures involved in making hometown tax donations, suggesting optimal donation allocations that provide the best tax deductions, and proposing return gifts that suit the user's preferences. Furthermore, it is necessary to reduce the time and effort involved in making donations by automating these processes. 【0226】 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. 【0227】 In this invention, the server includes means for receiving user input information, means for using artificial intelligence to calculate the optimal allocation of donations based on the donation amount, and means for recommending return gifts based on past history and preferences. This makes it possible for users to easily optimize their donation allocation and receive return gifts that suit their preferences. 【0228】 "User input information" refers to information that users provide to the system via their device to specify the donation amount and the category of their desired return gift. 【0229】 "Artificial intelligence for calculating the optimal allocation of donations based on the donation amount" refers to artificial intelligence technology used to distribute donations across multiple regions and perform calculations to maximize tax deductions. 【0230】 "Means of recommending return gifts based on past history and preferences" refers to a function that analyzes a user's past donation history and preferences and suggests appropriate return gifts based on the user's interests. 【0231】 "A means of automatically executing the donation process based on user approval" refers to a function that allows the system to automatically start and complete the donation process after the user has approved the presented donation plan. 【0232】 "Methods for automating access to donation recipients" refers to a function where the system automatically accesses the donation portals in each region, enters the necessary information, and completes the donation. 【0233】 "Means for visualizing donation allocation calculation results and a list of return gifts" refers to a function that visually displays to users the optimized donation allocation results and a list of selected return gifts. 【0234】 This invention is a system aimed at making the hometown tax donation process smoother, and in particular, it automates the process of optimizing the allocation of donations based on user input information and proposing return gifts based on preferences. 【0235】 Users input the total amount they wish to donate and the category of their desired return gift into the system via their device. The device then sends the entered information to a server. This system operates with the server at its core, where it utilizes a generated AI model. The server uses a specialized artificial intelligence model to calculate the optimal distribution based on the donation amount, seeking a configuration that divides the donation among multiple local organizations to maximize tax deductions. This optimization process includes machine learning models and database management software that run on the cloud. 【0236】 Next, the server analyzes the user's past donation history and preference data to generate a list of reward items tailored to each user's preferences. The generated information is displayed visually on the user's device, allowing the user to view the details. 【0237】 Once the user reviews and approves the proposed plan, the server automatically proceeds with the donation process. Specifically, the server accesses the online system of each donation recipient, enters the necessary information, and performs the necessary steps to complete the donation. This step utilizes web crawlers and automated input assistance software. 【0238】 For example, if a user enters the prompt "I would like to donate 30,000 yen and receive daily necessities as a return gift," the server will effectively allocate the 30,000 yen and generate a list of the most suitable return gifts for the user. In this case, a specific example of a prompt would be the instruction, "Please recommend daily necessities as a return gift for a 30,000 yen hometown tax donation." 【0239】 Overall, this system aims to provide an environment where users can make donations more easily and effectively by eliminating cumbersome procedures. 【0240】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0241】 Step 1: 【0242】 The user uses a terminal to enter the amount they wish to donate and the category of the desired return gift. The terminal sends this input information to the server. The input is the donation amount and the return gift category, and the output is an information package sent to the server. Here, the terminal formats the user's input to make it easier for the server to process. 【0243】 Step 2: 【0244】 The server uses an AI model to calculate the optimal distribution of donations based on information received from users. Specifically, it performs an optimal simulation of distributing donations to multiple recipients from the perspective of maximizing tax deductions. The input is the total amount of donations from users, and the output is the optimal donation distribution plan for each municipality. The server uses machine learning algorithms to calculate the optimization for maximizing tax deductions. 【0245】 Step 3: 【0246】 The server analyzes the user's past behavior history and lists reward items based on their preferences. This takes the user's donation history data as input and outputs a recommended list of reward items based on that data. The server uses a recommendation engine to select reward items that match the user's preferences. 【0247】 Step 4: 【0248】 The server sends the generated donation allocation plan and reward list to the user's terminal. The terminal then visually presents this information to the user. The input is the donation allocation plan and reward list from the server, and the output is the information displayed on the user's screen. The terminal renders the received data in a format suitable for the user interface. 【0249】 Step 5: 【0250】 The user reviews the presented plan and approves it. When the user presses the approve button, that information is sent to the server via the device. The input is the user's approval action, and the output is the approval notification sent to the server. Here, the device is responsible for sending information to the server triggered by the user's action. 【0251】 Step 6: 【0252】 The server, upon user approval, automatically proceeds with the donation process. Specifically, the server accesses each local government's online platform, enters the necessary information, and completes the donation. The input consists of instructions and donation allocation proposals obtained from user approval, and the output is a confirmation of the completed donation process. The server uses web automation tools to send the data to the online donation portal. 【0253】 (Application Example 1) 【0254】 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." 【0255】 When making a donation through the Furusato Nozei (hometown tax) system, many users struggle with determining the optimal allocation of their donation amount and selecting the right return gifts. This makes the donation process complicated and time-consuming, and also makes it difficult to maximize tax deductions. Furthermore, there is a growing need to simplify the donation process through digital platforms. 【0256】 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. 【0257】 In this invention, the server includes means for receiving user input information, means for simulating the optimal allocation of donations based on the donation amount, and means for recommending return gifts based on past history and preferences. This allows users to easily select the optimal donation plan and return gifts without having to go through complex donation procedures, thereby maximizing tax deductions. 【0258】 "User input information" refers to information provided by the user through their device, such as the donation amount and the desired category of return gift. 【0259】 "A method for simulating the distribution of donations" is a process that calculates the optimal recipient from multiple candidates based on the donation amount specified by the user. 【0260】 "A method for recommending return gifts" refers to a function that analyzes the user's past selection history and preferences to suggest the most suitable return gift for that user. 【0261】 "Means for automatically executing donation procedures" refers to a process that efficiently completes user-approved donation-related actions. 【0262】 "A means of optimizing donation information on information processing equipment and visualizing proposals" refers to a function that uses digital devices to present the optimal donation plan in an easily viewable format. 【0263】 "Means of completing a donation via information processing equipment" refers to a method of completing a user's donation intention as an actual procedure through operations performed on a device. 【0264】 The system for implementing this invention comprises a user terminal, a server, and an associated digital platform. The user terminal is an information processing device such as a smartphone, which can receive user input information through an application. The user enters the donation amount and the category of the desired return gift, and this information is transmitted to the server. 【0265】 The server uses software such as Python and TensorFlow to simulate the optimal allocation of donations based on the donation amount and recommends rewards based on the user's past history and preferences. This generates optimized donation plans and customized reward suggestions for the user. The generated suggestions are visually displayed on an information processing device for the user to review. 【0266】 As a concrete example, if a user selects a donation amount of 50,000 yen and food as their desired return gift category, the server will perform an optimal donation simulation based on past data and present a proposed allocation to the local government to maximize tax deductions, along with a list of food items that match their preferences. Once the user approves this, the donation process is automatically initiated through the terminal, and the donation is completed via the information processing equipment. 【0267】 This allows users to efficiently make hometown tax donations without feeling overwhelmed, and to maximize the benefits of tax deductions. An example of a prompt would be: "Generate a plan that suggests the best return gift based on the user's past preferences and maximizes the tax deduction for the donation." 【0268】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0269】 Step 1: 【0270】 The terminal receives input information from the user. This input includes the donation amount and the category of the desired return gift. The terminal sends this information to the server. The input is the user's preference, and the output is the input information sent to the server. 【0271】 Step 2: 【0272】 The server simulates the optimal distribution of donations based on the received user information. This utilizes tax deduction information from the database to generate a distribution plan that maximizes tax deductions by distributing the donations across multiple municipalities. The input is the user's donation amount and the tax information from the database, and the output is the optimized donation distribution plan. 【0273】 Step 3: 【0274】 The server uses a generative AI model to recommend reward items based on the user's past history and preferences. It takes prompt text as input to the model and outputs a list of reward items tailored to the user. The input consists of the user's history data and prompt text, while the output is a customized list of reward items. 【0275】 Step 4: 【0276】 The server sends optimized donation plans and reward lists to a terminal for visual display on the information processing device. The terminal receives this information and presents it to the user visually. The input is the optimized plan and list from the server, and the output is the display to the user. 【0277】 Step 5: 【0278】 When the user is satisfied with the presented plan and approves it, the device sends this approval information to the server. The input is the user's approval action, and the output is the approval information sent to the server. 【0279】 Step 6: 【0280】 Upon receiving approval information, the server accesses each local government's online donation portal, automatically fills in the necessary information, and completes the donation process. The input is the approval information, and the output is the completed donation process. 【0281】 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. 【0282】 This invention relates to a system that provides users making hometown tax donations with optimal allocation of donations and recommendations for return gifts, and further incorporates an emotion engine that recognizes the user's emotions and reflects their feedback. The aim of this system is to make the donation process more comfortable and satisfying for users. 【0283】 This embodiment is specifically shown. The user accesses the system through the terminal and enters the amount of donation and the category of the gift in return. This data is immediately sent to the server, and the server collects the necessary related data. At this time, the server uses the emotion engine to analyze the input speed, selection, and state during operation of the user, and infer the emotional state. 【0284】 The AI agent on the server incorporates emotional information into the process of calculating the optimal allocation that maximizes the tax deduction of the donation amount based on the collected data. For example, there is a mechanism to preferentially recommend gifts in return in categories that the user shows interest in by the emotion engine. 【0285】 After that, optimization of the emotion-based interface is performed. The server adjusts the visual template and the tone of the guidance text according to the emotional state of the user, and provides a more comfortable operation environment for the user. 【0286】 As a specific example, when the user enters "The donation amount is 30,000 yen and I hope for a food gift in return" and shows a happy feedback during the operation, the server presents a donation plan that emphasizes the specialty foods in well-known regions based on the positive emotion of the user. By utilizing emotional information in this way, the user can enjoy more suitable options. 【0287】 When the user approves the presented plan, the server automatically starts the donation procedure. The AI agent of the server accesses the donation acceptance site of the local government and completes the donation by entering the necessary information. Through this series of processes, a mechanism is provided that enables the user to enjoy an efficient and emotion-considerate donation experience. 【0288】 The following describes the processing flow. 【0289】 Step 1: 【0290】 The user accesses the system using a terminal and enters the amount they wish to donate and the category of the desired reward. The terminal receives the entered information and sends it to the server. The terminal also records the user's input speed and mouse movements and sends this data to the emotion engine for analysis. 【0291】 Step 2: 【0292】 The server collects necessary information from relevant databases and hometown tax donation websites based on the user's input. This includes donation conditions and lists of return gifts for each municipality. Simultaneously, an emotion engine on the server analyzes the user's interaction data to infer the user's emotional state. 【0293】 Step 3: 【0294】 The AI ​​agent on the server calculates the optimal allocation of donations based on collected data and the user's emotional state. During this process, it prioritizes including reward items that the user is likely to be interested in. Furthermore, emotion-based tuning is performed to create a donation plan that suits the user's preferences. 【0295】 Step 4: 【0296】 The server sends the device a calculated donation allocation plan and a list of rewards selected based on the user's emotions. The device then presents this information to the user through a visual interface customized with colors and designs appropriate to their emotional state. 【0297】 Step 5: 【0298】 The user reviews the presented plan and, if they wish to approve it, clicks the approve button through their device. The emotion engine records the user's reaction at this moment and accumulates data to improve future interactions. 【0299】 Step 6: 【0300】 The server starts the donation procedure automatically upon receiving the user's approval. The AI agent accesses the donation acceptance site of the appropriate local government body, enters the necessary information, and completes the procedure. The user does not need to track this process and can confirm completion through a notification. 【0301】 (Example 2) 【0302】 Next, Example 2 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". 【0303】 The donation behavior in hometown tax payment can be complex and burdensome for users. There is also an issue that it is difficult to select the optimal allocation of donation funds and return gifts that reflect the user's feelings and preferences. Therefore, there is a demand for providing a system that allows users to have a more comfortable and satisfactory donation experience. 【0304】 The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0305】 In this invention, the server includes means for receiving user input information, means for calculating the optimal allocation of donation funds based on the donation amount, means for inferring the user's emotional state using an information processing device, means for recommending donation candidates and return gifts based on the user's emotional state, and means for automating the donation procedure when the user approves the presented plan. As a result, the user can easily and effectively conduct hometown tax payment through a donation experience that takes emotions into account. 【0306】 "User input information" refers to data such as the donation amount and return gift category provided by the user to the system. 【0307】 "Means for calculating the optimal allocation of donation funds" is a mechanism that calculates the most effective allocation based on the donation amount and maximizes the tax-saving effect. 【0308】 An "information processing device" refers to electronic devices and software used to process and analyze data. A server is an example of this. 【0309】 "Means for inferring a user's emotional state" refers to algorithms or processes that determine emotions based on the user's input actions and other factors. 【0310】 "A method for recommending donation options and return gifts" refers to a method of presenting the most suitable donation plan and return gift based on the user's preferences and emotions. 【0311】 "Means of automating the donation process" refers to a system function that automatically executes the donation application process based on user approval. 【0312】 This invention is a system that assists users in optimally allocating their donations and selecting return gifts when making hometown tax donations. Furthermore, it provides an experience that takes into account the user's emotional state. This system is built around terminals and servers and utilizes technologies such as generative AI models and emotion engines. 【0313】 The server receives information such as donation amounts and gift categories entered by users from their devices. The information entered by users is transmitted to the server in real time. The server analyzes the received information and uses a generative AI model to calculate the optimal allocation of donations. It also utilizes an emotion engine to infer the user's emotional state based on their input speed and selection tendencies. 【0314】 The server evaluates donation options and rewards based on the user's emotions and recommends the best choice. The visual interface is also adjusted according to the user's emotions. If positive emotions are detected, bright colors and friendly tones are used. 【0315】 As a concrete example, consider a case where a user enters "I would like to donate 30,000 yen and receive food as a return gift." Based on this information, the server generates a donation plan that maximizes tax deductions and uses an emotion engine to infer the user's emotional state. If the user provides positive feedback, the server presents a plan that highlights highly-rated local food products. This prompt might use information such as "The donation amount is 30,000 yen, and the user is interested in the food category" and "The user's emotions during the interaction appear positive and joyful." 【0316】 Once the user approves the proposed plan, the server automatically completes the donation process and sends a notification to the user. This entire process allows users to enjoy an efficient and satisfying donation experience. 【0317】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0318】 Step 1: 【0319】 Users access the donation platform through their device and enter the amount they wish to donate and the category of the return gift. The input data, including the amount and category, is generated. The device receives the entered data and sends it to the server as structured data. 【0320】 Step 2: 【0321】 The server receives input information sent from the terminal and retrieves a list of relevant donation plans and reward options from the database. Input includes the donation amount and reward category. This data is used with a generative AI model to calculate and output the optimal donation allocation. The calculation results are prepared as a plan that maximizes the user's tax deductions. 【0322】 Step 3: 【0323】 The server uses an emotion engine to analyze the user's input speed and selection tendencies during operation and infer the user's emotional state. The input data used is the user's keystroke data and selection information. The result of the emotion inference is output as data indicating whether the user is in a positive, negative, or neutral emotional state. 【0324】 Step 4: 【0325】 The server considers the output data of the user's emotional state and optimizes donation plans and reward lists in line with the user's emotions. A generative AI model prioritizes recommending options the user is likely to prefer and generates an interface that visually matches the user's emotions. Plans and lists are provided, and visual templates are adjusted. 【0326】 Step 5: 【0327】 The user reviews and selects or approves optimized donation plans and reward options presented by the server. The user's actions generate the selection results. The information from the selected plan is used in the next step. 【0328】 Step 6: 【0329】 Based on the plan approved by the user, the server automates the donation process. The user's selections function as input data, and the server enters the necessary information into the local government's donation acceptance system. Upon confirmation of the completion of the process, the user is notified of the results. 【0330】 By following these steps, users can make efficient and emotionally resonant donations. 【0331】 (Application Example 2) 【0332】 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 as the "terminal". 【0333】 In the modern online donation process, it is difficult for users to experience emotional satisfaction, and the overwhelming number of choices often complicates the donation process. Traditional donation systems do not take into account the emotional state of users and cannot individually optimize the donation experience. As a result, the satisfaction users derive from donating and the relevance of the choices they receive may decrease, potentially leading to a decline in donation behavior. 【0334】 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. 【0335】 In this invention, the server includes means for receiving user input information, means for simulating the optimal distribution of donations based on the donation amount, means for recommending return gifts based on past history and preferences, means for estimating the user's emotional state using emotion recognition technology and optimizing the user interface based on that information, and means for automatically executing the donation procedure when the user approves the presented plan. This enables an optimal donation experience tailored to the user's emotional state. 【0336】 "User input information" refers to the data and instructions that users provide to the system. 【0337】 "Emotion recognition technology" is a technology that estimates a user's emotional state by analyzing their facial expressions and input behavior. 【0338】 An "interface" is the visual and functional framework that allows a user to interact with a system. 【0339】 "Means for simulating the distribution of donations" refers to a device or process for calculating the optimal distribution of donations based on the input donation amount. 【0340】 "Means of recommending return gifts" refers to a device or process for presenting the most suitable return gift based on the user's past history and preferences. 【0341】 "Means for automatically executing donation procedures" refers to a device or process that allows the system to automatically complete the necessary donation processing based on the donation plan selected by the user. 【0342】 The system for carrying out this invention employs the following means. The user accesses the system using a dedicated terminal or smartphone. When the user enters the amount they wish to donate and the category of the return gift, this information is sent to the server. The server processes the user input information in real time and estimates the user's emotional state from their facial expressions and input speed using emotion recognition technology. This utilizes facial recognition libraries such as OpenCV and generative AI models. 【0343】 The server effectively recommends reward items based on collected sentiment data and the user's past history and preferences. Furthermore, it utilizes AI algorithms to maximize tax deductions by simulating the allocation of donation funds. As a result, a donation plan optimized for the user is presented. The interface is also adjusted according to the user's emotions, so the most visually appropriate display method is selected. 【0344】 As a concrete example, consider a case where a user makes a donation on a holiday. If the user enters "I would like to donate 50,000 yen and would like a tourism-related gift in return," and displays a relaxed expression during the process, the server will provide a donation plan that emphasizes the benefits of a tourist destination appropriate for the season, based on the user's relaxed mood. 【0345】 An example of a prompt message is: "This user appears relaxed. Recommend seasonal tourist destination perks." In this way, you can provide a donation experience that is tailored to the user's emotional state. 【0346】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0347】 Step 1: 【0348】 The terminal receives input information from the user regarding the donation amount and the category of the return gift. The input data consists of numerical information and category selection information, which is then sent to the server. The input data format is a data structure that the system can process, such as JSON or XML. 【0349】 Step 2: 【0350】 The server analyzes user information received from the terminal. Based on the input data, it estimates the user's emotional state using emotion recognition technology. Specifically, it processes the user's facial image using OpenCV and applies an emotion model to calculate the emotional state. The output of this calculation is emotion data. 【0351】 Step 3: 【0352】 The server recommends the most suitable reward based on collected sentiment data, past history, and preference data. This process uses a generative AI model to select rewards that match the user's interests and preferences. The resulting output is a list of rewards presented to the user. 【0353】 Step 4: 【0354】 The server simulates the optimal allocation of donations. This involves calculations using the entered donation amount and tax deduction information, with an AI algorithm determining the best donation plan. The output then provides details of the donation plan. 【0355】 Step 5: 【0356】 The user reviews and approves the presented donation plan. If approved, the decision is sent to the server via the device. 【0357】 Step 6: 【0358】 The server automatically executes the donation process based on user approval. This includes accessing the relevant donation page and entering the required information. A confirmation notification is sent to the user upon completion of the process. The output shows the status of the donation process completion. 【0359】 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. 【0360】 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. 【0361】 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. 【0362】 [Third Embodiment] 【0363】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0364】 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. 【0365】 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). 【0366】 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. 【0367】 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. 【0368】 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). 【0369】 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. 【0370】 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. 【0371】 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. 【0372】 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. 【0373】 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. 【0374】 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". 【0375】 This invention is a system for users to efficiently make hometown tax donations. Based on information provided by the user, this system calculates the optimal allocation of donation funds and also has a function to suggest return gifts that match the user's past behavior and preferences. In addition, it can automatically execute the plan approved by the user and complete the donation procedure. 【0376】 The embodiment will be described in detail. A user accesses the system using a terminal and enters the donation amount and the category of the desired return gift. The terminal receives this information and sends it to the server. Based on the received information, the server collects necessary information from related Furusato Nozei (hometown tax donation) websites and databases and starts the optimization process. 【0377】 The AI ​​agent on the server simulates how to distribute a user's donation to multiple municipalities in a way that maximizes tax deductions. Based on the simulation results, it creates donation allocation proposals for each municipality. At the same time, it analyzes past user behavior and recommends return gifts that are suitable for the user's preferences. This ensures that the recommendations are consistently positive and reliable. 【0378】 The user's device receives and presents these optimized donation plans and gift lists. The user reviews them and, if satisfied, presses the approve button. The server receives this approval and proceeds with the donation process fully automatically. Specifically, it accesses each local government's online donation portal, enters the necessary information, and completes the donation. This series of steps frees users from the complexities of the donation process, allowing them to make hometown tax donations quickly and effectively. 【0379】 The system's implementation incorporates features that maximize user convenience while also ensuring that donations contribute to the local communities of the recipient municipalities. This is expected to encourage greater use of the hometown tax system and contribute to the development of local communities. 【0380】 The following describes the processing flow. 【0381】 Step 1: 【0382】 The user accesses the system through their device and enters the amount they wish to donate and the type of return gift they desire. The device temporarily stores this information locally and then sends it to the server. 【0383】 Step 2: 【0384】 The server receives user input and collects relevant information from related hometown tax donation websites and databases. This includes, for example, lists of return gifts offered by each local government and past user reviews. The server filters this information, removing duplicate and unnecessary data. 【0385】 Step 3: 【0386】 The AI ​​agent on the server starts a simulation based on the filtered data. Specifically, it calculates how much of the donation should be allocated to which municipality in order to maximize the tax deduction effect of the donation. The results of this simulation are recorded internally. 【0387】 Step 4: 【0388】 The server analyzes the user's past donation history and preferences and recommends relevant return gifts based on that. The AI ​​agent refers to online reviews and user ratings and lists the highest-rated return gifts. 【0389】 Step 5: 【0390】 The server sends the calculated donation allocation plan and a list of recommended reward items to the user's device. The device displays this information to the user in an easy-to-understand format, allowing the user to review the plan. 【0391】 Step 6: 【0392】 The user reviews the presented plan and, if they accept it, presses the accept button on their device. The device then sends this user action to the server. 【0393】 Step 7: 【0394】 The server, upon user approval, automatically initiates the donation process. The AI ​​agent accesses each local government's donation system and enters the user's information and donation amount. This completes the donation process, eliminating the need for the user to track or verify anything further. 【0395】 (Example 1) 【0396】 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." 【0397】 There is a challenge in reducing the burden on users by simplifying the complex procedures involved in making hometown tax donations, suggesting optimal donation allocations that provide the best tax deductions, and proposing return gifts that suit the user's preferences. Furthermore, it is necessary to reduce the time and effort involved in making donations by automating these processes. 【0398】 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. 【0399】 In this invention, the server includes means for receiving user input information, means for using artificial intelligence to calculate the optimal allocation of donations based on the donation amount, and means for recommending return gifts based on past history and preferences. This makes it possible for users to easily optimize their donation allocation and receive return gifts that suit their preferences. 【0400】 "User input information" refers to information that users provide to the system via their device to specify the donation amount and the category of their desired return gift. 【0401】 "Artificial intelligence for calculating the optimal allocation of donations based on the donation amount" refers to artificial intelligence technology used to distribute donations across multiple regions and perform calculations to maximize tax deductions. 【0402】 "Means of recommending return gifts based on past history and preferences" refers to a function that analyzes a user's past donation history and preferences and suggests appropriate return gifts based on the user's interests. 【0403】 "A means of automatically executing the donation process based on user approval" refers to a function that allows the system to automatically start and complete the donation process after the user has approved the presented donation plan. 【0404】 "Methods for automating access to donation recipients" refers to a function where the system automatically accesses the donation portals in each region, enters the necessary information, and completes the donation. 【0405】 "Means for visualizing donation allocation calculation results and a list of return gifts" refers to a function that visually displays to users the optimized donation allocation results and a list of selected return gifts. 【0406】 This invention is a system aimed at making the hometown tax donation process smoother, and in particular, it automates the process of optimizing the allocation of donations based on user input information and proposing return gifts based on preferences. 【0407】 Users input the total amount they wish to donate and the category of their desired return gift into the system via their device. The device then sends the entered information to a server. This system operates with the server at its core, where it utilizes a generated AI model. The server uses a specialized artificial intelligence model to calculate the optimal distribution based on the donation amount, seeking a configuration that divides the donation among multiple local organizations to maximize tax deductions. This optimization process includes machine learning models and database management software that run on the cloud. 【0408】 Next, the server analyzes the user's past donation history and preference data to generate a list of reward items tailored to each user's preferences. The generated information is displayed visually on the user's device, allowing the user to view the details. 【0409】 Once the user reviews and approves the proposed plan, the server automatically proceeds with the donation process. Specifically, the server accesses the online system of each donation recipient, enters the necessary information, and performs the necessary steps to complete the donation. This step utilizes web crawlers and automated input assistance software. 【0410】 For example, if a user enters the prompt "I would like to donate 30,000 yen and receive daily necessities as a return gift," the server will effectively allocate the 30,000 yen and generate a list of the most suitable return gifts for the user. In this case, a specific example of a prompt would be the instruction, "Please recommend daily necessities as a return gift for a 30,000 yen hometown tax donation." 【0411】 Overall, this system aims to provide an environment where users can make donations more easily and effectively by eliminating cumbersome procedures. 【0412】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0413】 Step 1: 【0414】 The user uses a terminal to enter the amount they wish to donate and the category of the desired return gift. The terminal sends this input information to the server. The input is the donation amount and the return gift category, and the output is an information package sent to the server. Here, the terminal formats the user's input to make it easier for the server to process. 【0415】 Step 2: 【0416】 The server uses an AI model to calculate the optimal distribution of donations based on information received from users. Specifically, it performs an optimal simulation of distributing donations to multiple recipients from the perspective of maximizing tax deductions. The input is the total amount of donations from users, and the output is the optimal donation distribution plan for each municipality. The server uses machine learning algorithms to calculate the optimization for maximizing tax deductions. 【0417】 Step 3: 【0418】 The server analyzes the user's past behavior history and lists reward items based on their preferences. This takes the user's donation history data as input and outputs a recommended list of reward items based on that data. The server uses a recommendation engine to select reward items that match the user's preferences. 【0419】 Step 4: 【0420】 The server sends the generated donation allocation plan and reward list to the user's terminal. The terminal then visually presents this information to the user. The input is the donation allocation plan and reward list from the server, and the output is the information displayed on the user's screen. The terminal renders the received data in a format suitable for the user interface. 【0421】 Step 5: 【0422】 The user reviews the presented plan and approves it. When the user presses the approve button, that information is sent to the server via the device. The input is the user's approval action, and the output is the approval notification sent to the server. Here, the device is responsible for sending information to the server triggered by the user's action. 【0423】 Step 6: 【0424】 The server, upon user approval, automatically proceeds with the donation process. Specifically, the server accesses each local government's online platform, enters the necessary information, and completes the donation. The input consists of instructions and donation allocation proposals obtained from user approval, and the output is a confirmation of the completed donation process. The server uses web automation tools to send the data to the online donation portal. 【0425】 (Application Example 1) 【0426】 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." 【0427】 When making a donation through the Furusato Nozei (hometown tax) system, many users struggle with determining the optimal allocation of their donation amount and selecting the right return gifts. This makes the donation process complicated and time-consuming, and also makes it difficult to maximize tax deductions. Furthermore, there is a growing need to simplify the donation process through digital platforms. 【0428】 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. 【0429】 In this invention, the server includes means for receiving user input information, means for simulating the optimal allocation of donations based on the donation amount, and means for recommending return gifts based on past history and preferences. This allows users to easily select the optimal donation plan and return gifts without having to go through complex donation procedures, thereby maximizing tax deductions. 【0430】 "User input information" refers to information provided by the user through their device, such as the donation amount and the desired category of return gift. 【0431】 "A method for simulating the distribution of donations" is a process that calculates the optimal recipient from multiple candidates based on the donation amount specified by the user. 【0432】 "A method for recommending return gifts" refers to a function that analyzes the user's past selection history and preferences to suggest the most suitable return gift for that user. 【0433】 "Means for automatically executing donation procedures" refers to a process that efficiently completes user-approved donation-related actions. 【0434】 "A means of optimizing donation information on information processing equipment and visualizing proposals" refers to a function that uses digital devices to present the optimal donation plan in an easily viewable format. 【0435】 "Means of completing a donation via information processing equipment" refers to a method of completing a user's donation intention as an actual procedure through operations performed on a device. 【0436】 The system for implementing this invention comprises a user terminal, a server, and an associated digital platform. The user terminal is an information processing device such as a smartphone, which can receive user input information through an application. The user enters the donation amount and the category of the desired return gift, and this information is transmitted to the server. 【0437】 The server uses software such as Python and TensorFlow to simulate the optimal allocation of donations based on the donation amount and recommends rewards based on the user's past history and preferences. This generates optimized donation plans and customized reward suggestions for the user. The generated suggestions are visually displayed on an information processing device for the user to review. 【0438】 As a concrete example, if a user selects a donation amount of 50,000 yen and food as their desired return gift category, the server will perform an optimal donation simulation based on past data and present a proposed allocation to the local government to maximize tax deductions, along with a list of food items that match their preferences. Once the user approves this, the donation process is automatically initiated through the terminal, and the donation is completed via the information processing equipment. 【0439】 This allows users to efficiently make hometown tax donations without feeling overwhelmed, and to maximize the benefits of tax deductions. An example of a prompt would be: "Generate a plan that suggests the best return gift based on the user's past preferences and maximizes the tax deduction for the donation." 【0440】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0441】 Step 1: 【0442】 The terminal receives input information from the user. This input includes the donation amount and the category of the desired return gift. The terminal sends this information to the server. The input is the user's preference, and the output is the input information sent to the server. 【0443】 Step 2: 【0444】 The server simulates the optimal distribution of donations based on the received user information. This utilizes tax deduction information from the database to generate a distribution plan that maximizes tax deductions by distributing the donations across multiple municipalities. The input is the user's donation amount and the tax information from the database, and the output is the optimized donation distribution plan. 【0445】 Step 3: 【0446】 The server uses a generative AI model to recommend reward items based on the user's past history and preferences. It takes prompt text as input to the model and outputs a list of reward items tailored to the user. The input consists of the user's history data and prompt text, while the output is a customized list of reward items. 【0447】 Step 4: 【0448】 The server sends optimized donation plans and reward lists to a terminal for visual display on the information processing device. The terminal receives this information and presents it to the user visually. The input is the optimized plan and list from the server, and the output is the display to the user. 【0449】 Step 5: 【0450】 When the user is satisfied with the presented plan and approves it, the device sends this approval information to the server. The input is the user's approval action, and the output is the approval information sent to the server. 【0451】 Step 6: 【0452】 Upon receiving approval information, the server accesses each local government's online donation portal, automatically fills in the necessary information, and completes the donation process. The input is the approval information, and the output is the completed donation process. 【0453】 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. 【0454】 This invention relates to a system that provides users making hometown tax donations with optimal allocation of donations and recommendations for return gifts, and further incorporates an emotion engine that recognizes the user's emotions and reflects their feedback. The aim of this system is to make the donation process more comfortable and satisfying for users. 【0455】 The embodiment is described in detail. The user accesses the system through a terminal and enters the amount they wish to donate and the category of the return gift. This data is immediately sent to the server, which collects the necessary related data. At this time, the server uses an emotion engine to analyze the user's input speed, selections, and behavior during the operation, and infers their emotional state. 【0456】 The AI ​​agent on the server incorporates emotional information into the process of calculating the optimal allocation to maximize tax deductions on donations, based on the collected data. For example, it has a mechanism that prioritizes recommending return gifts in categories that the user has shown interest in, based on an emotional engine. 【0457】 Subsequently, emotion-based interface optimization is performed. The server adjusts the tone of visual templates and guidance text according to the user's emotional state, providing a more comfortable operating environment for the user. 【0458】 For example, if a user enters "I would like to donate 30,000 yen and receive food as a return gift," and provides positive feedback during the process, the server will use the user's positive emotions to present a donation plan that highlights highly-regarded local specialty foods. In this way, by utilizing emotional information, users can enjoy more suitable options. 【0459】 Once the user approves the presented plan, the server automatically initiates the donation process. The server's AI agent accesses the local government's donation website and completes the donation by entering the necessary information. This entire process provides users with an efficient and emotionally resonant donation experience. 【0460】 The following describes the processing flow. 【0461】 Step 1: 【0462】 The user accesses the system using a terminal and enters the amount they wish to donate and the category of the desired reward. The terminal receives the entered information and sends it to the server. The terminal also records the user's input speed and mouse movements and sends this data to the emotion engine for analysis. 【0463】 Step 2: 【0464】 The server collects necessary information from relevant databases and hometown tax donation websites based on the user's input. This includes donation conditions and lists of return gifts for each municipality. Simultaneously, an emotion engine on the server analyzes the user's interaction data to infer the user's emotional state. 【0465】 Step 3: 【0466】 The AI ​​agent on the server calculates the optimal allocation of donations based on collected data and the user's emotional state. During this process, it prioritizes including reward items that the user is likely to be interested in. Furthermore, emotion-based tuning is performed to create a donation plan that suits the user's preferences. 【0467】 Step 4: 【0468】 The server sends the device a calculated donation allocation plan and a list of rewards selected based on the user's emotions. The device then presents this information to the user through a visual interface customized with colors and designs appropriate to their emotional state. 【0469】 Step 5: 【0470】 The user reviews the presented plan and, if they wish to approve it, clicks the approve button through their device. The emotion engine records the user's reaction at this moment and accumulates data to improve future interactions. 【0471】 Step 6: 【0472】 Upon user approval, the server automatically initiates the donation process. An AI agent accesses the appropriate local government's donation website, enters the necessary information, and completes the process. The user does not need to track this process and can confirm completion through notifications. 【0473】 (Example 2) 【0474】 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." 【0475】 The act of donating through the Furusato Nozei (hometown tax) system can be complex and burdensome for users. Furthermore, there is the challenge of selecting the optimal donation allocation and return gifts that reflect users' emotions and preferences. Therefore, there is a need to provide a system that allows users to have a more comfortable and satisfying donation experience. 【0476】 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. 【0477】 In this invention, the server includes means for receiving user input information, means for calculating the optimal allocation of donations based on the donation amount, means for inferring the user's emotional state using an information processing device, means for recommending donation candidates and return gifts based on the user's emotional state, and means for automating the donation procedure when the user approves the presented plan. This enables users to easily and effectively make hometown tax donations through an emotionally sensitive donation experience. 【0478】 "User input information" refers to data such as the donation amount and the category of return gift that the user provides to the system. 【0479】 "A method for calculating the optimal allocation of donations" is a mechanism that calculates the most effective allocation based on the donation amount, thereby maximizing tax-saving effects. 【0480】 An "information processing device" refers to electronic devices and software used to process and analyze data. A server is an example of this. 【0481】 "Means for inferring a user's emotional state" refers to algorithms or processes that determine emotions based on the user's input actions and other factors. 【0482】 "A method for recommending donation options and return gifts" refers to a method of presenting the most suitable donation plan and return gift based on the user's preferences and emotions. 【0483】 "Means of automating the donation process" refers to a system function that automatically executes the donation application process based on user approval. 【0484】 This invention is a system that assists users in optimally allocating their donations and selecting return gifts when making hometown tax donations. Furthermore, it provides an experience that takes into account the user's emotional state. This system is built around terminals and servers and utilizes technologies such as generative AI models and emotion engines. 【0485】 The server receives information such as donation amounts and gift categories entered by users from their devices. The information entered by users is transmitted to the server in real time. The server analyzes the received information and uses a generative AI model to calculate the optimal allocation of donations. It also utilizes an emotion engine to infer the user's emotional state based on their input speed and selection tendencies. 【0486】 The server evaluates donation options and rewards based on the user's emotions and recommends the best choice. The visual interface is also adjusted according to the user's emotions. If positive emotions are detected, bright colors and friendly tones are used. 【0487】 As a concrete example, consider a case where a user enters "I would like to donate 30,000 yen and receive food as a return gift." Based on this information, the server generates a donation plan that maximizes tax deductions and uses an emotion engine to infer the user's emotional state. If the user provides positive feedback, the server presents a plan that highlights highly-rated local food products. This prompt might use information such as "The donation amount is 30,000 yen, and the user is interested in the food category" and "The user's emotions during the interaction appear positive and joyful." 【0488】 Once the user approves the proposed plan, the server automatically completes the donation process and sends a notification to the user. This entire process allows users to enjoy an efficient and satisfying donation experience. 【0489】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0490】 Step 1: 【0491】 Users access the donation platform through their device and enter the amount they wish to donate and the category of the return gift. The input data, including the amount and category, is generated. The device receives the entered data and sends it to the server as structured data. 【0492】 Step 2: 【0493】 The server receives input information sent from the terminal and retrieves a list of relevant donation plans and reward options from the database. Input includes the donation amount and reward category. This data is used with a generative AI model to calculate and output the optimal donation allocation. The calculation results are prepared as a plan that maximizes the user's tax deductions. 【0494】 Step 3: 【0495】 The server uses an emotion engine to analyze the user's input speed and selection tendencies during operation and infer the user's emotional state. The input data used is the user's keystroke data and selection information. The result of the emotion inference is output as data indicating whether the user is in a positive, negative, or neutral emotional state. 【0496】 Step 4: 【0497】 The server considers the output data of the user's emotional state and optimizes donation plans and reward lists in line with the user's emotions. A generative AI model prioritizes recommending options the user is likely to prefer and generates an interface that visually matches the user's emotions. Plans and lists are provided, and visual templates are adjusted. 【0498】 Step 5: 【0499】 The user reviews and selects or approves optimized donation plans and reward options presented by the server. The user's actions generate the selection results. The information from the selected plan is used in the next step. 【0500】 Step 6: 【0501】 Based on the plan approved by the user, the server automates the donation process. The user's selections function as input data, and the server enters the necessary information into the local government's donation acceptance system. Upon confirmation of the completion of the process, the user is notified of the results. 【0502】 By following these steps, users can make efficient and emotionally resonant donations. 【0503】 (Application Example 2) 【0504】 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." 【0505】 In the modern online donation process, it is difficult for users to experience emotional satisfaction, and the overwhelming number of choices often complicates the donation process. Traditional donation systems do not take into account the emotional state of users and cannot individually optimize the donation experience. As a result, the satisfaction users derive from donating and the relevance of the choices they receive may decrease, potentially leading to a decline in donation behavior. 【0506】 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. 【0507】 In this invention, the server includes means for receiving user input information, means for simulating the optimal distribution of donations based on the donation amount, means for recommending return gifts based on past history and preferences, means for estimating the user's emotional state using emotion recognition technology and optimizing the user interface based on that information, and means for automatically executing the donation procedure when the user approves the presented plan. This enables an optimal donation experience tailored to the user's emotional state. 【0508】 "User input information" refers to the data and instructions that users provide to the system. 【0509】 "Emotion recognition technology" is a technology that estimates a user's emotional state by analyzing their facial expressions and input behavior. 【0510】 An "interface" is the visual and functional framework that allows a user to interact with a system. 【0511】 "Means for simulating the distribution of donations" refers to a device or process for calculating the optimal distribution of donations based on the input donation amount. 【0512】 "Means of recommending return gifts" refers to a device or process for presenting the most suitable return gift based on the user's past history and preferences. 【0513】 "Means for automatically executing donation procedures" refers to a device or process that allows the system to automatically complete the necessary donation processing based on the donation plan selected by the user. 【0514】 The system for carrying out this invention employs the following means. The user accesses the system using a dedicated terminal or smartphone. When the user enters the amount they wish to donate and the category of the return gift, this information is sent to the server. The server processes the user input information in real time and estimates the user's emotional state from their facial expressions and input speed using emotion recognition technology. This utilizes facial recognition libraries such as OpenCV and generative AI models. 【0515】 The server effectively recommends reward items based on collected sentiment data and the user's past history and preferences. Furthermore, it utilizes AI algorithms to maximize tax deductions by simulating the allocation of donation funds. As a result, a donation plan optimized for the user is presented. The interface is also adjusted according to the user's emotions, so the most visually appropriate display method is selected. 【0516】 As a concrete example, consider a case where a user makes a donation on a holiday. If the user enters "I would like to donate 50,000 yen and would like a tourism-related gift in return," and displays a relaxed expression during the process, the server will provide a donation plan that emphasizes the benefits of a tourist destination appropriate for the season, based on the user's relaxed mood. 【0517】 An example of a prompt message is: "This user appears relaxed. Recommend seasonal tourist destination perks." In this way, you can provide a donation experience that is tailored to the user's emotional state. 【0518】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0519】 Step 1: 【0520】 The terminal receives input information from the user regarding the donation amount and the category of the return gift. The input data consists of numerical information and category selection information, which is then sent to the server. The input data format is a data structure that the system can process, such as JSON or XML. 【0521】 Step 2: 【0522】 The server analyzes user information received from the terminal. Based on the input data, it estimates the user's emotional state using emotion recognition technology. Specifically, it processes the user's facial image using OpenCV and applies an emotion model to calculate the emotional state. The output of this calculation is emotion data. 【0523】 Step 3: 【0524】 The server recommends the most suitable reward based on collected sentiment data, past history, and preference data. This process uses a generative AI model to select rewards that match the user's interests and preferences. The resulting output is a list of rewards presented to the user. 【0525】 Step 4: 【0526】 The server simulates the optimal allocation of donations. This involves calculations using the entered donation amount and tax deduction information, with an AI algorithm determining the best donation plan. The output then provides details of the donation plan. 【0527】 Step 5: 【0528】 The user reviews and approves the presented donation plan. If approved, the decision is sent to the server via the device. 【0529】 Step 6: 【0530】 The server automatically executes the donation process based on user approval. This includes accessing the relevant donation page and entering the required information. A confirmation notification is sent to the user upon completion of the process. The output shows the status of the donation process completion. 【0531】 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. 【0532】 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. 【0533】 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. 【0534】 [Fourth Embodiment] 【0535】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0536】 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. 【0537】 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). 【0538】 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. 【0539】 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. 【0540】 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). 【0541】 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. 【0542】 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. 【0543】 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. 【0544】 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. 【0545】 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. 【0546】 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. 【0547】 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". 【0548】 This invention is a system for users to efficiently make hometown tax donations. Based on information provided by the user, this system calculates the optimal allocation of donation funds and also has a function to suggest return gifts that match the user's past behavior and preferences. In addition, it can automatically execute the plan approved by the user and complete the donation procedure. 【0549】 The embodiment will be described in detail. A user accesses the system using a terminal and enters the donation amount and the category of the desired return gift. The terminal receives this information and sends it to the server. Based on the received information, the server collects necessary information from related Furusato Nozei (hometown tax donation) websites and databases and starts the optimization process. 【0550】 The AI ​​agent on the server simulates how to distribute a user's donation to multiple municipalities in a way that maximizes tax deductions. Based on the simulation results, it creates donation allocation proposals for each municipality. At the same time, it analyzes past user behavior and recommends return gifts that are suitable for the user's preferences. This ensures that the recommendations are consistently positive and reliable. 【0551】 The user's device receives and presents these optimized donation plans and gift lists. The user reviews them and, if satisfied, presses the approve button. The server receives this approval and proceeds with the donation process fully automatically. Specifically, it accesses each local government's online donation portal, enters the necessary information, and completes the donation. This series of steps frees users from the complexities of the donation process, allowing them to make hometown tax donations quickly and effectively. 【0552】 The system's implementation incorporates features that maximize user convenience while also ensuring that donations contribute to the local communities of the recipient municipalities. This is expected to encourage greater use of the hometown tax system and contribute to the development of local communities. 【0553】 The following describes the processing flow. 【0554】 Step 1: 【0555】 The user accesses the system through their device and enters the amount they wish to donate and the type of return gift they desire. The device temporarily stores this information locally and then sends it to the server. 【0556】 Step 2: 【0557】 The server receives user input and collects relevant information from related hometown tax donation websites and databases. This includes, for example, lists of return gifts offered by each local government and past user reviews. The server filters this information, removing duplicate and unnecessary data. 【0558】 Step 3: 【0559】 The AI ​​agent on the server starts a simulation based on the filtered data. Specifically, it calculates how much of the donation should be allocated to which municipality in order to maximize the tax deduction effect of the donation. The results of this simulation are recorded internally. 【0560】 Step 4: 【0561】 The server analyzes the user's past donation history and preferences and recommends relevant return gifts based on that. The AI ​​agent refers to online reviews and user ratings and lists the highest-rated return gifts. 【0562】 Step 5: 【0563】 The server sends the calculated donation allocation plan and a list of recommended reward items to the user's device. The device displays this information to the user in an easy-to-understand format, allowing the user to review the plan. 【0564】 Step 6: 【0565】 The user reviews the presented plan and, if they accept it, presses the accept button on their device. The device then sends this user action to the server. 【0566】 Step 7: 【0567】 The server, upon user approval, automatically initiates the donation process. The AI ​​agent accesses each local government's donation system and enters the user's information and donation amount. This completes the donation process, eliminating the need for the user to track or verify anything further. 【0568】 (Example 1) 【0569】 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". 【0570】 There is a challenge in reducing the burden on users by simplifying the complex procedures involved in making hometown tax donations, suggesting optimal donation allocations that provide the best tax deductions, and proposing return gifts that suit the user's preferences. Furthermore, it is necessary to reduce the time and effort involved in making donations by automating these processes. 【0571】 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. 【0572】 In this invention, the server includes means for receiving user input information, means for using artificial intelligence to calculate the optimal allocation of donations based on the donation amount, and means for recommending return gifts based on past history and preferences. This makes it possible for users to easily optimize their donation allocation and receive return gifts that suit their preferences. 【0573】 "User input information" refers to information that users provide to the system via their device to specify the donation amount and the category of their desired return gift. 【0574】 "Artificial intelligence for calculating the optimal allocation of donations based on the donation amount" refers to artificial intelligence technology used to distribute donations across multiple regions and perform calculations to maximize tax deductions. 【0575】 "Means of recommending return gifts based on past history and preferences" refers to a function that analyzes a user's past donation history and preferences and suggests appropriate return gifts based on the user's interests. 【0576】 "A means of automatically executing the donation process based on user approval" refers to a function that allows the system to automatically start and complete the donation process after the user has approved the presented donation plan. 【0577】 "Methods for automating access to donation recipients" refers to a function where the system automatically accesses the donation portals in each region, enters the necessary information, and completes the donation. 【0578】 "Means for visualizing donation allocation calculation results and a list of return gifts" refers to a function that visually displays to users the optimized donation allocation results and a list of selected return gifts. 【0579】 This invention is a system aimed at making the hometown tax donation process smoother, and in particular, it automates the process of optimizing the allocation of donations based on user input information and proposing return gifts based on preferences. 【0580】 Users input the total amount they wish to donate and the category of their desired return gift into the system via their device. The device then sends the entered information to a server. This system operates with the server at its core, where it utilizes a generated AI model. The server uses a specialized artificial intelligence model to calculate the optimal distribution based on the donation amount, seeking a configuration that divides the donation among multiple local organizations to maximize tax deductions. This optimization process includes machine learning models and database management software that run on the cloud. 【0581】 Next, the server analyzes the user's past donation history and preference data to generate a list of reward items tailored to each user's preferences. The generated information is displayed visually on the user's device, allowing the user to view the details. 【0582】 Once the user reviews and approves the proposed plan, the server automatically proceeds with the donation process. Specifically, the server accesses the online system of each donation recipient, enters the necessary information, and performs the necessary steps to complete the donation. This step utilizes web crawlers and automated input assistance software. 【0583】 For example, if a user enters the prompt "I would like to donate 30,000 yen and receive daily necessities as a return gift," the server will effectively allocate the 30,000 yen and generate a list of the most suitable return gifts for the user. In this case, a specific example of a prompt would be the instruction, "Please recommend daily necessities as a return gift for a 30,000 yen hometown tax donation." 【0584】 Overall, this system aims to provide an environment where users can make donations more easily and effectively by eliminating cumbersome procedures. 【0585】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0586】 Step 1: 【0587】 The user uses a terminal to enter the amount they wish to donate and the category of the desired return gift. The terminal sends this input information to the server. The input is the donation amount and the return gift category, and the output is an information package sent to the server. Here, the terminal formats the user's input to make it easier for the server to process. 【0588】 Step 2: 【0589】 The server uses an AI model to calculate the optimal distribution of donations based on information received from users. Specifically, it performs an optimal simulation of distributing donations to multiple recipients from the perspective of maximizing tax deductions. The input is the total amount of donations from users, and the output is the optimal donation distribution plan for each municipality. The server uses machine learning algorithms to calculate the optimization for maximizing tax deductions. 【0590】 Step 3: 【0591】 The server analyzes the user's past behavior history and lists reward items based on their preferences. This takes the user's donation history data as input and outputs a recommended list of reward items based on that data. The server uses a recommendation engine to select reward items that match the user's preferences. 【0592】 Step 4: 【0593】 The server sends the generated donation allocation plan and reward list to the user's terminal. The terminal then visually presents this information to the user. The input is the donation allocation plan and reward list from the server, and the output is the information displayed on the user's screen. The terminal renders the received data in a format suitable for the user interface. 【0594】 Step 5: 【0595】 The user reviews the presented plan and approves it. When the user presses the approve button, that information is sent to the server via the device. The input is the user's approval action, and the output is the approval notification sent to the server. Here, the device is responsible for sending information to the server triggered by the user's action. 【0596】 Step 6: 【0597】 The server, upon user approval, automatically proceeds with the donation process. Specifically, the server accesses each local government's online platform, enters the necessary information, and completes the donation. The input consists of instructions and donation allocation proposals obtained from user approval, and the output is a confirmation of the completed donation process. The server uses web automation tools to send the data to the online donation portal. 【0598】 (Application Example 1) 【0599】 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". 【0600】 When making a donation through the Furusato Nozei (hometown tax) system, many users struggle with determining the optimal allocation of their donation amount and selecting the right return gifts. This makes the donation process complicated and time-consuming, and also makes it difficult to maximize tax deductions. Furthermore, there is a growing need to simplify the donation process through digital platforms. 【0601】 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. 【0602】 In this invention, the server includes means for receiving user input information, means for simulating the optimal allocation of donations based on the donation amount, and means for recommending return gifts based on past history and preferences. This allows users to easily select the optimal donation plan and return gifts without having to go through complex donation procedures, thereby maximizing tax deductions. 【0603】 "User input information" refers to information provided by the user through their device, such as the donation amount and the desired category of return gift. 【0604】 "A method for simulating the distribution of donations" is a process that calculates the optimal recipient from multiple candidates based on the donation amount specified by the user. 【0605】 "A method for recommending return gifts" refers to a function that analyzes the user's past selection history and preferences to suggest the most suitable return gift for that user. 【0606】 "Means for automatically executing donation procedures" refers to a process that efficiently completes user-approved donation-related actions. 【0607】 "A means of optimizing donation information on information processing equipment and visualizing proposals" refers to a function that uses digital devices to present the optimal donation plan in an easily viewable format. 【0608】 "Means of completing a donation via information processing equipment" refers to a method of completing a user's donation intention as an actual procedure through operations performed on a device. 【0609】 The system for implementing this invention comprises a user terminal, a server, and an associated digital platform. The user terminal is an information processing device such as a smartphone, which can receive user input information through an application. The user enters the donation amount and the category of the desired return gift, and this information is transmitted to the server. 【0610】 The server uses software such as Python and TensorFlow to simulate the optimal allocation of donations based on the donation amount and recommends rewards based on the user's past history and preferences. This generates optimized donation plans and customized reward suggestions for the user. The generated suggestions are visually displayed on an information processing device for the user to review. 【0611】 As a concrete example, if a user selects a donation amount of 50,000 yen and food as their desired return gift category, the server will perform an optimal donation simulation based on past data and present a proposed allocation to the local government to maximize tax deductions, along with a list of food items that match their preferences. Once the user approves this, the donation process is automatically initiated through the terminal, and the donation is completed via the information processing equipment. 【0612】 This allows users to efficiently make hometown tax donations without feeling overwhelmed, and to maximize the benefits of tax deductions. An example of a prompt would be: "Generate a plan that suggests the best return gift based on the user's past preferences and maximizes the tax deduction for the donation." 【0613】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0614】 Step 1: 【0615】 The terminal receives input information from the user. This input includes the donation amount and the category of the desired return gift. The terminal sends this information to the server. The input is the user's preference, and the output is the input information sent to the server. 【0616】 Step 2: 【0617】 The server simulates the optimal distribution of donations based on the received user information. This utilizes tax deduction information from the database to generate a distribution plan that maximizes tax deductions by distributing the donations across multiple municipalities. The input is the user's donation amount and the tax information from the database, and the output is the optimized donation distribution plan. 【0618】 Step 3: 【0619】 The server uses a generative AI model to recommend reward items based on the user's past history and preferences. It takes prompt text as input to the model and outputs a list of reward items tailored to the user. The input consists of the user's history data and prompt text, while the output is a customized list of reward items. 【0620】 Step 4: 【0621】 The server sends optimized donation plans and reward lists to a terminal for visual display on the information processing device. The terminal receives this information and presents it to the user visually. The input is the optimized plan and list from the server, and the output is the display to the user. 【0622】 Step 5: 【0623】 When the user is satisfied with the presented plan and approves it, the device sends this approval information to the server. The input is the user's approval action, and the output is the approval information sent to the server. 【0624】 Step 6: 【0625】 Upon receiving approval information, the server accesses each local government's online donation portal, automatically fills in the necessary information, and completes the donation process. The input is the approval information, and the output is the completed donation process. 【0626】 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. 【0627】 This invention relates to a system that provides users making hometown tax donations with optimal allocation of donations and recommendations for return gifts, and further incorporates an emotion engine that recognizes the user's emotions and reflects their feedback. The aim of this system is to make the donation process more comfortable and satisfying for users. 【0628】 The embodiment is described in detail. The user accesses the system through a terminal and enters the amount they wish to donate and the category of the return gift. This data is immediately sent to the server, which collects the necessary related data. At this time, the server uses an emotion engine to analyze the user's input speed, selections, and behavior during the operation, and infers their emotional state. 【0629】 The AI ​​agent on the server incorporates emotional information into the process of calculating the optimal allocation to maximize tax deductions on donations, based on the collected data. For example, it has a mechanism that prioritizes recommending return gifts in categories that the user has shown interest in, based on an emotional engine. 【0630】 Subsequently, emotion-based interface optimization is performed. The server adjusts the tone of visual templates and guidance text according to the user's emotional state, providing a more comfortable operating environment for the user. 【0631】 For example, if a user enters "I would like to donate 30,000 yen and receive food as a return gift," and provides positive feedback during the process, the server will use the user's positive emotions to present a donation plan that highlights highly-regarded local specialty foods. In this way, by utilizing emotional information, users can enjoy more suitable options. 【0632】 Once the user approves the presented plan, the server automatically initiates the donation process. The server's AI agent accesses the local government's donation website and completes the donation by entering the necessary information. This entire process provides users with an efficient and emotionally resonant donation experience. 【0633】 The following describes the processing flow. 【0634】 Step 1: 【0635】 The user accesses the system using a terminal and enters the amount they wish to donate and the category of the desired reward. The terminal receives the entered information and sends it to the server. The terminal also records the user's input speed and mouse movements and sends this data to the emotion engine for analysis. 【0636】 Step 2: 【0637】 The server collects necessary information from relevant databases and hometown tax donation websites based on the user's input. This includes donation conditions and lists of return gifts for each municipality. Simultaneously, an emotion engine on the server analyzes the user's interaction data to infer the user's emotional state. 【0638】 Step 3: 【0639】 The AI ​​agent on the server calculates the optimal allocation of donations based on collected data and the user's emotional state. During this process, it prioritizes including reward items that the user is likely to be interested in. Furthermore, emotion-based tuning is performed to create a donation plan that suits the user's preferences. 【0640】 Step 4: 【0641】 The server sends the device a calculated donation allocation plan and a list of rewards selected based on the user's emotions. The device then presents this information to the user through a visual interface customized with colors and designs appropriate to their emotional state. 【0642】 Step 5: 【0643】 The user reviews the presented plan and, if they wish to approve it, clicks the approve button through their device. The emotion engine records the user's reaction at this moment and accumulates data to improve future interactions. 【0644】 Step 6: 【0645】 Upon user approval, the server automatically initiates the donation process. An AI agent accesses the appropriate local government's donation website, enters the necessary information, and completes the process. The user does not need to track this process and can confirm completion through notifications. 【0646】 (Example 2) 【0647】 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". 【0648】 The act of donating through the Furusato Nozei (hometown tax) system can be complex and burdensome for users. Furthermore, there is the challenge of selecting the optimal donation allocation and return gifts that reflect users' emotions and preferences. Therefore, there is a need to provide a system that allows users to have a more comfortable and satisfying donation experience. 【0649】 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. 【0650】 In this invention, the server includes means for receiving user input information, means for calculating the optimal allocation of donations based on the donation amount, means for inferring the user's emotional state using an information processing device, means for recommending donation candidates and return gifts based on the user's emotional state, and means for automating the donation procedure when the user approves the presented plan. This enables users to easily and effectively make hometown tax donations through an emotionally sensitive donation experience. 【0651】 "User input information" refers to data such as the donation amount and the category of return gift that the user provides to the system. 【0652】 "A method for calculating the optimal allocation of donations" is a mechanism that calculates the most effective allocation based on the donation amount, thereby maximizing tax-saving effects. 【0653】 An "information processing device" refers to electronic devices and software used to process and analyze data. A server is an example of this. 【0654】 "Means for inferring a user's emotional state" refers to algorithms or processes that determine emotions based on the user's input actions and other factors. 【0655】 "A method for recommending donation options and return gifts" refers to a method of presenting the most suitable donation plan and return gift based on the user's preferences and emotions. 【0656】 "Means of automating the donation process" refers to a system function that automatically executes the donation application process based on user approval. 【0657】 This invention is a system that assists users in optimally allocating their donations and selecting return gifts when making hometown tax donations. Furthermore, it provides an experience that takes into account the user's emotional state. This system is built around terminals and servers and utilizes technologies such as generative AI models and emotion engines. 【0658】 The server receives information such as donation amounts and gift categories entered by users from their devices. The information entered by users is transmitted to the server in real time. The server analyzes the received information and uses a generative AI model to calculate the optimal allocation of donations. It also utilizes an emotion engine to infer the user's emotional state based on their input speed and selection tendencies. 【0659】 The server evaluates donation options and rewards based on the user's emotions and recommends the best choice. The visual interface is also adjusted according to the user's emotions. If positive emotions are detected, bright colors and friendly tones are used. 【0660】 As a concrete example, consider a case where a user enters "I would like to donate 30,000 yen and receive food as a return gift." Based on this information, the server generates a donation plan that maximizes tax deductions and uses an emotion engine to infer the user's emotional state. If the user provides positive feedback, the server presents a plan that highlights highly-rated local food products. This prompt might use information such as "The donation amount is 30,000 yen, and the user is interested in the food category" and "The user's emotions during the interaction appear positive and joyful." 【0661】 Once the user approves the proposed plan, the server automatically completes the donation process and sends a notification to the user. This entire process allows users to enjoy an efficient and satisfying donation experience. 【0662】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0663】 Step 1: 【0664】 Users access the donation platform through their device and enter the amount they wish to donate and the category of the return gift. The input data, including the amount and category, is generated. The device receives the entered data and sends it to the server as structured data. 【0665】 Step 2: 【0666】 The server receives input information sent from the terminal and retrieves a list of relevant donation plans and reward options from the database. Input includes the donation amount and reward category. This data is used with a generative AI model to calculate and output the optimal donation allocation. The calculation results are prepared as a plan that maximizes the user's tax deductions. 【0667】 Step 3: 【0668】 The server uses an emotion engine to analyze the user's input speed and selection tendencies during operation and infer the user's emotional state. The input data used is the user's keystroke data and selection information. The result of the emotion inference is output as data indicating whether the user is in a positive, negative, or neutral emotional state. 【0669】 Step 4: 【0670】 The server considers the output data of the user's emotional state and optimizes donation plans and reward lists in line with the user's emotions. A generative AI model prioritizes recommending options the user is likely to prefer and generates an interface that visually matches the user's emotions. Plans and lists are provided, and visual templates are adjusted. 【0671】 Step 5: 【0672】 The user reviews and selects or approves optimized donation plans and reward options presented by the server. The user's actions generate the selection results. The information from the selected plan is used in the next step. 【0673】 Step 6: 【0674】 Based on the plan approved by the user, the server automates the donation process. The user's selections function as input data, and the server enters the necessary information into the local government's donation acceptance system. Upon confirmation of the completion of the process, the user is notified of the results. 【0675】 By following these steps, users can make efficient and emotionally resonant donations. 【0676】 (Application Example 2) 【0677】 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". 【0678】 In the modern online donation process, it is difficult for users to experience emotional satisfaction, and the overwhelming number of choices often complicates the donation process. Traditional donation systems do not take into account the emotional state of users and cannot individually optimize the donation experience. As a result, the satisfaction users derive from donating and the relevance of the choices they receive may decrease, potentially leading to a decline in donation behavior. 【0679】 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. 【0680】 In this invention, the server includes means for receiving user input information, means for simulating the optimal distribution of donations based on the donation amount, means for recommending return gifts based on past history and preferences, means for estimating the user's emotional state using emotion recognition technology and optimizing the user interface based on that information, and means for automatically executing the donation procedure when the user approves the presented plan. This enables an optimal donation experience tailored to the user's emotional state. 【0681】 "User input information" refers to the data and instructions that users provide to the system. 【0682】 "Emotion recognition technology" is a technology that estimates a user's emotional state by analyzing their facial expressions and input behavior. 【0683】 An "interface" is the visual and functional framework that allows a user to interact with a system. 【0684】 "Means for simulating the distribution of donations" refers to a device or process for calculating the optimal distribution of donations based on the input donation amount. 【0685】 "Means of recommending return gifts" refers to a device or process for presenting the most suitable return gift based on the user's past history and preferences. 【0686】 "Means for automatically executing donation procedures" refers to a device or process that allows the system to automatically complete the necessary donation processing based on the donation plan selected by the user. 【0687】 The system for carrying out this invention employs the following means. The user accesses the system using a dedicated terminal or smartphone. When the user enters the amount they wish to donate and the category of the return gift, this information is sent to the server. The server processes the user input information in real time and estimates the user's emotional state from their facial expressions and input speed using emotion recognition technology. This utilizes facial recognition libraries such as OpenCV and generative AI models. 【0688】 The server effectively recommends reward items based on collected sentiment data and the user's past history and preferences. Furthermore, it utilizes AI algorithms to maximize tax deductions by simulating the allocation of donation funds. As a result, a donation plan optimized for the user is presented. The interface is also adjusted according to the user's emotions, so the most visually appropriate display method is selected. 【0689】 As a concrete example, consider a case where a user makes a donation on a holiday. If the user enters "I would like to donate 50,000 yen and would like a tourism-related gift in return," and displays a relaxed expression during the process, the server will provide a donation plan that emphasizes the benefits of a tourist destination appropriate for the season, based on the user's relaxed mood. 【0690】 An example of a prompt message is: "This user appears relaxed. Recommend seasonal tourist destination perks." In this way, you can provide a donation experience that is tailored to the user's emotional state. 【0691】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0692】 Step 1: 【0693】 The terminal receives input information from the user regarding the donation amount and the category of the return gift. The input data consists of numerical information and category selection information, which is then sent to the server. The input data format is a data structure that the system can process, such as JSON or XML. 【0694】 Step 2: 【0695】 The server analyzes user information received from the terminal. Based on the input data, it estimates the user's emotional state using emotion recognition technology. Specifically, it processes the user's facial image using OpenCV and applies an emotion model to calculate the emotional state. The output of this calculation is emotion data. 【0696】 Step 3: 【0697】 The server recommends the most suitable reward based on collected sentiment data, past history, and preference data. This process uses a generative AI model to select rewards that match the user's interests and preferences. The resulting output is a list of rewards presented to the user. 【0698】 Step 4: 【0699】 The server simulates the optimal allocation of donations. This involves calculations using the entered donation amount and tax deduction information, with an AI algorithm determining the best donation plan. The output then provides details of the donation plan. 【0700】 Step 5: 【0701】 The user reviews and approves the presented donation plan. If approved, the decision is sent to the server via the device. 【0702】 Step 6: 【0703】 The server automatically executes the donation process based on user approval. This includes accessing the relevant donation page and entering the required information. A confirmation notification is sent to the user upon completion of the process. The output shows the status of the donation process completion. 【0704】 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. 【0705】 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. 【0706】 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. 【0707】 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. 【0708】 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. 【0709】 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. 【0710】 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. 【0711】 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. 【0712】 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." 【0713】 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. 【0714】 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. 【0715】 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. 【0716】 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. 【0717】 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. 【0718】 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. 【0719】 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 this memory. 【0720】 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. 【0721】 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. 【0722】 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. 【0723】 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. 【0724】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. 【0725】 The following is further disclosed regarding the embodiments described above. 【0726】 (Claim 1) 【0727】 A means of receiving user input information, 【0728】 A means to simulate the optimal allocation of donations based on the donation amount, 【0729】 A means of recommending return gifts based on past history and preferences, 【0730】 A means to automatically execute the donation process when the user approves the proposed plan, 【0731】 A system that includes this. 【0732】 (Claim 2) 【0733】 The system according to claim 1, further comprising means for collecting and filtering relevant data based on user input information. 【0734】 (Claim 3) 【0735】 The system according to claim 1, further comprising means for visually presenting the results of a donation allocation simulation and a list of return gifts. 【0736】 "Example 1" 【0737】 (Claim 1) 【0738】 A means of receiving user input information, 【0739】 A method using artificial intelligence to calculate the optimal allocation of donations based on the donation amount, 【0740】 A means of recommending return gifts based on past history and preferences, 【0741】 A means of automatically executing the donation process based on user approval, 【0742】 A means to automate access to donation recipients, 【0743】 A system that includes this. 【0744】 (Claim 2) 【0745】 The system according to claim 1, further comprising means for collecting and filtering relevant information based on user input information. 【0746】 (Claim 3) 【0747】 The system according to claim 1, further comprising means for visualizing the results of donation allocation calculations and a list of return gifts. 【0748】 "Application Example 1" 【0749】 (Claim 1) 【0750】 A means of receiving user input information, 【0751】 A means to simulate the optimal allocation of donations based on the donation amount, 【0752】 A means of recommending return gifts based on past history and preferences, 【0753】 A means to automatically execute the donation process when the user approves the proposed plan, 【0754】 A means of optimizing donation information on information processing equipment and visualizing proposals, 【0755】 When the proposal is approved, a means to complete the donation via information processing equipment, 【0756】 A system that includes this. 【0757】 (Claim 2) 【0758】 The system according to claim 1, further comprising means for collecting and filtering relevant data based on user input information. 【0759】 (Claim 3) 【0760】 The system according to claim 1, further comprising means for visually presenting the proposed donation plan and the list of return gifts on an information processing device. 【0761】 "Example 2 of combining an emotion engine" 【0762】 (Claim 1) 【0763】 A means of receiving user input information, 【0764】 A means for calculating the optimal allocation of donations based on the donation amount, 【0765】 A means of inferring a user's emotional state using an information processing device, 【0766】 A method for recommending donation candidates and return gifts based on the user's emotional state, 【0767】 When a user approves the proposed plan, a means to automate the donation process, 【0768】 A system that includes this. 【0769】 (Claim 2) 【0770】 The system according to claim 1, further comprising means for analyzing user input information, collecting and filtering relevant data, and optimizing an interface that reflects emotional states. 【0771】 (Claim 3) 【0772】 The system according to claim 1, further comprising means for visually presenting the results of the donation allocation and a list of return gifts, and providing visual representations adjusted according to the user's emotional state. 【0773】 "Application example 2 when combining with an emotional engine" 【0774】 (Claim 1) 【0775】 A means of receiving user input information, 【0776】 A means to simulate the optimal allocation of donations based on the donation amount, 【0777】 A means of recommending return gifts based on past history and preferences, 【0778】 A means of estimating a user's emotional state using emotion recognition technology and optimizing the user interface based on that information, 【0779】 A means to automatically execute the donation process when the user approves the proposed plan, 【0780】 A system that includes this. 【0781】 (Claim 2) 【0782】 A means for collecting and filtering relevant data based on user input information, 【0783】 The system according to claim 1, further comprising means for considering emotional data collected by emotion recognition. 【0784】 (Claim 3) 【0785】 A means of visually presenting the results of the donation allocation simulation and the list of return gifts, 【0786】 The system according to claim 1, further comprising means for providing a visual interface that responds to the user's emotional state. [Explanation of Symbols] 【0787】 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

[Claim 1] A means of receiving user input information, A means to simulate the optimal allocation of donations based on the donation amount, A means of recommending return gifts based on past history and preferences, A means to automatically execute the donation process when the user approves the proposed plan, A system that includes this. [Claim 2] The system according to claim 1, further comprising means for collecting and filtering relevant data based on user input information. [Claim 3] The system according to claim 1, further comprising means for visually presenting the results of a donation allocation simulation and a list of return gifts.

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