system

Abstract

We provide the system. [Solution] A means of obtaining legal data from multiple sources and maintaining it in an up-to-date state, A means of collecting income information and investment information from users through client terminals, Based on the collected information, a means of analyzing preferential tax treatment by comparing it with a legal database, A means of automatically generating declaration documents based on the analysis results, A means of submitting the generated declaration documents online, 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, 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】 In the modern economic situation, with the increase in investment activities and frequent revisions of the tax system, it has become difficult for individuals to accurately file income tax returns. In particular, the laws and regulations have become complex, and the collection of information and the maintenance of its up-to-dateness have become a heavy burden for the general public. Therefore, it is difficult to apply appropriate tax incentives, and as a result, there may be excessive or insufficient tax burdens and incorrect declarations. 【Means for Solving the Problems】 【0005】 This invention provides a system that acquires legal data from multiple sources via a cloud network, ensuring that the data is always up-to-date. It includes an interface for collecting income and investment information from users, and uses this information to analyze tax benefits by comparing it with a legal database. Furthermore, it automatically generates tax return documents based on the analysis results and enables online submission, simplifying the filing process and improving accuracy. In addition, it includes a function to confirm and correct the contents of the tax return through the user interface, and provides means to monitor the progress after filing and notify the user. 【0006】 "Information source" refers to the starting point or medium from which data and information are collected, and includes organizations and platforms that provide legal data. 【0007】 "Legal data" refers to legal information such as laws, regulations, and tax systems, including the latest systems and rules regarding taxation. 【0008】 "Client terminal" refers to computers, smartphones, and other communication devices that users use to access this system. 【0009】 "User" refers to an individual or corporation that uses this system to file an income tax return. 【0010】 "Income information" refers to data about the user's sources and amounts of income, including salary, investment income, and real estate income. 【0011】 "Investment information" refers to data related to a user's asset management, including information on investment destinations such as stocks, real estate, and bonds. 【0012】 A "legal database" refers to a digital database that structures and stores acquired legal data, and is used for verification and analysis. 【0013】 "Preferential tax treatment" refers to tax reduction measures or deductions applied to taxpayers who meet specific conditions. 【0014】 "Analysis" refers to the process of evaluating and examining collected data to derive appropriate conclusions or results. 【0015】 "Tax returns" refer to documents that compile information that taxpayers must submit to the tax authorities, and they must be prepared in the appropriate format. 【0016】 "Online transmission" refers to the process of sending digital data to the intended recipient via a network such as the internet. 【0017】 An "interface" refers to the point of contact or means by which a system and a user input or output information. 【0018】 "Notification" refers to the act or message of a system transmitting information to a user. [Brief explanation of the drawing] 【0019】 [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] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined. **Modes for Carrying Out the Invention** 【0020】 Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0021】 First, the terms used in the following description will be described. 【0022】 In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0023】 In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor. 【0024】 In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes. 【0025】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0026】 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." 【0027】 [First Embodiment] 【0028】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0029】 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. 【0030】 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). 【0031】 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. 【0032】 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. 【0033】 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. 【0034】 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. 【0035】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0036】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0037】 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. 【0038】 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. 【0039】 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". 【0040】 This invention is a system that supports users in filing income tax returns efficiently and accurately. The system is designed to reduce the burden on users by automating complex processes such as obtaining legal data, collecting and analyzing information, and generating and submitting tax return documents. 【0041】 Acquisition and updating of legal data 【0042】 First, the server retrieves the latest legal data from multiple sources. The server stores this data in a database and updates it as needed to maintain its up-to-date status. This allows for a quick response even when tax laws change. 【0043】 Information gathering and dialogue 【0044】 Next, the terminal receives input from the user via a user interface. This interface presents questions about income and investment information, and the user inputs the necessary data by answering these questions. The terminal sends this information to the server for analysis. 【0045】 Data analysis and generation of declaration documents 【0046】 The server compares the received data with a legal database and analyzes available tax benefits. Based on the analysis results, it automatically generates income tax return documents in the appropriate format. This eliminates the need for detailed calculations and formatting. 【0047】 Review and correction of declaration documents 【0048】 The generated declaration form is presented to the user as a preview via the terminal. The user can review this content and enter any necessary corrections or additional information. Once the review is complete, the final declaration form is finalized at this point. 【0049】 Online submission and notification 【0050】 Finally, the server submits the finalized tax return to the tax authorities' online system. After submission, it monitors the status and notifies the user of important information, such as the progress of the refund. This allows the user to know in real time whether their tax return is being processed correctly. 【0051】 Specific example 【0052】 For example, suppose a user earned income from real estate and stocks in the previous year. This user first accesses a terminal and enters the amount of income earned, transaction details, etc. The server analyzes this information to determine the most suitable deductions and preferential treatments and automatically creates the tax return documents. The user reviews the documents, and if there are no particular problems, the online submission proceeds, and the user is notified of the submission confirmation and refund status as appropriate. 【0053】 This system allows users to reliably complete complex tax procedures even without specialized knowledge. 【0054】 The following describes the processing flow. 【0055】 Step 1: 【0056】 The server retrieves the latest legal data from government agencies and public databases via APIs. The retrieved data is stored in the server's legal database, and existing data is updated as needed. 【0057】 Step 2: 【0058】 The user logs into the system using their device and is prompted to enter their income and investment information on the interface. The device then prepares to send the collected data to the server. 【0059】 Step 3: 【0060】 The server receives income and investment information transmitted from the terminal and begins analysis by referring to the legal database. Specifically, it calculates applicable tax benefits and deductions and determines the best filing method to provide to the user. 【0061】 Step 4: 【0062】 The server automatically generates tax return documents based on the analysis results. The generated documents are formatted in a way that is easy for the user to review. 【0063】 Step 5: 【0064】 The terminal displays the generated declaration form to the user and prompts them to review its contents. The user reviews the displayed declaration and makes corrections if necessary. This correction information is then sent from the terminal to the server. 【0065】 Step 6: 【0066】 The server incorporates user-submitted corrections and finalizes the declaration form. This ensures that accurate information is included in the declaration. 【0067】 Step 7: 【0068】 The server submits the finalized tax return to the tax authority's online portal. It then checks the submission status and tracks the acceptance status and refund progress as needed. 【0069】 Step 8: 【0070】 The device notifies the user of information regarding the acceptance status and refund progress. Through this information, the user can understand the stage of their tax filing process in real time and take the next action as needed. 【0071】 (Example 1) 【0072】 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." 【0073】 The current income tax filing process is complex, requiring individuals to expend a significant amount of time and effort. In particular, keeping up with frequent legal changes and utilizing optimal tax benefits is difficult, leading many to file incorrectly or miss out on deductions. To address this challenge, a system is needed that automatically generates tax returns through timely updates of legal data, efficient information gathering, and accurate analysis. 【0074】 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. 【0075】 In this invention, the server includes means for acquiring rule data from multiple sources and maintaining it up-to-date, means for analyzing preferential tax systems by comparing the collected information with a rule database, and means for automatically generating tax return documents based on the analysis results using a generation AI model. This enables users to file tax returns efficiently and accurately without having to deal with complicated procedures. 【0076】 A "source of information" refers to an external database or online service that is referenced to obtain data or rule information. 【0077】 "Regulatory data" refers to data containing the latest information on laws and tax regulations, providing the foundational information necessary for filing tax returns. 【0078】 "User device" refers to a terminal or device used by a user to input or verify information. 【0079】 "Income information" refers to detailed information about the income a user has earned over the year, such as salary, business income, and profits from investments, which is necessary for filing tax returns. 【0080】 "Investment information" refers to information related to the user's investment activities, such as stocks, real estate, and securities. 【0081】 A "rule database" is a data storage system where rule data is accumulated and used for matching and analysis. 【0082】 A "preferential tax system" refers to deductions or benefits established by law to reduce the tax burden. 【0083】 A "generative AI model" is an algorithm that uses machine learning and artificial intelligence techniques to analyze data and make specific judgments and predictions. 【0084】 A "tax return document" refers to the official declaration documents that a user must submit to the tax authorities, and is a document that reflects the calculated tax amount and deductions. 【0085】 An "information input / output device" is a hardware and software system that provides an interface for users to review and correct their declared information. 【0086】 "Sending online" refers to the process of transmitting digital data to a remote system via an internet connection. 【0087】 This invention is a system for users to efficiently file income tax returns. The system consists of a server, terminals, and users. The server obtains the latest rule data from multiple sources and stores it in data storage. This data is used as up-to-date information, including tax incentives and changes. The server communicates with trusted external databases via APIs and automatically retrieves rule data. The retrieved data is stored in an internal rule database and prepared for analysis. 【0088】 The terminal functions as an information input / output device for users to enter data. This terminal provides users with an interactive interface, prompting them to enter income and investment information. The data entered by the user is securely transmitted from the terminal to the server in an encrypted state. This data is used to generate tax return documents, taking into account the individual circumstances of each user. 【0089】 The server uses a generative AI model to analyze the received information and the information in the rules database. This process is performed to identify the most suitable deductions and preferential treatments and to automatically generate tax return documents. The generative AI model performs analysis based on prompts tailored to the user's specific situation. For example, if the prompt is "Please tell me how to generate a suitable tax return if I had real estate income and stock profits in the previous year," the server will output a tax return document based on the results. 【0090】 The server submits the final tax return documents online to the tax authorities and then notifies the user of the progress and refund information. This allows users to complete their tax filing accurately and effectively without feeling overwhelmed by the complexities of the process. 【0091】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0092】 Step 1: 【0093】 The server accesses multiple sources of information and retrieves the latest rule data via APIs. The server assumes the incoming data is in JSON format, parses the rule data, and stores it in internal data storage. The input data is rule information from an online database, and the output is an updated rule database. This process ensures the server always maintains the most up-to-date legal information. 【0094】 Step 2: 【0095】 Users log in using their devices and input income and investment information through a dedicated user interface. User input is collected using an interactive form that is intuitive and prompts for necessary information in a timely manner. The input data consists of the user's income and investment information, and the output is encrypted user data sent to the server. 【0096】 Step 3: 【0097】 The server receives encrypted user data and compares it against its internal rule database. At this stage, the server uses a generative AI model to analyze the user data and rule data as prompts. A typical prompt might be: "Please tell me how to generate a suitable tax return if I had real estate income and stock profits in the previous year." The input data consists of user information and rule data, and the output is the analyzed tax strategy. 【0098】 Step 4: 【0099】 Based on the results analyzed by the generation AI model, the server automatically generates the appropriate tax return documents. These documents contain all the information the user needs for filing. The generated documents are output in PDF or electronic file format and sent to the terminal. 【0100】 Step 5: 【0101】 The terminal displays a preview of the generated tax return document to the user. The user can review the displayed document and provide corrections or additional information as needed. The input consists of the user's confirmations and corrections, and the final output is the confirmed tax return document. 【0102】 Step 6: 【0103】 The server submits the verified tax return documents to the tax authority's online system. After submission, the server monitors the submission status to confirm whether it was processed successfully. The input data is the verified tax return documents, and the output is the tax authority's confirmation of receipt. 【0104】 Step 7: 【0105】 Ultimately, the server monitors feedback from tax authorities and refund progress information, and notifies the user of this information. This allows the user to check the stage of their tax return in real time. The input is progress information from tax authorities, and the output is the latest notification to the user. 【0106】 (Application Example 1) 【0107】 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." 【0108】 Filing income tax returns is a complex and time-consuming process for many people, and it is especially difficult to file properly in accordance with the latest laws and regulations. Furthermore, it is necessary for individuals to accurately reflect their daily transactions as income information, a process that involves considerable effort. Transparency is also essential for checking the status and progress of refunds after filing. 【0109】 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. 【0110】 In this invention, the server includes means for acquiring and maintaining up-to-date legal data from multiple data sources, means for collecting income information and financial investment information from users via remote devices, and means for automatically acquiring electronic transaction information and utilizing it as income information. This enables the automation of efficient and accurate income tax filing and the management of its progress. 【0111】 A "data source" refers to a variety of information providers from which information is obtained, and it plays a role in collecting the latest legal data and electronic transaction information. 【0112】 A "remote device" is a device used to input and receive data via the internet, and functions as a means of collecting income information and financial investment information from users. 【0113】 A "legal data bank" refers to a database that stores the latest tax and legal information and provides this information as needed. 【0114】 "Means of evaluating preferential tax treatment" refers to methods or mechanisms for analyzing applicable tax incentives by comparing collected information with information in a legal database. 【0115】 "Tax return documents" refer to official documents that contain information regarding income tax and are prepared for submission to the tax authorities. 【0116】 "Means of online submission" means a method or technology for automatically transmitting generated tax returns to the tax authority's system via the internet. 【0117】 "Electronic transaction information" refers to transaction history data from transactions conducted through electronic payments, which is automatically acquired for use as user income information. 【0118】 In this invention, the server acquires the latest legal data from multiple data sources and stores it in a database. The server also automatically acquires the user's transaction history from the electronic payment platform and uses this information as the user's income information. 【0119】 The device collects income and financial investment information directly from the user via a user interface built with React Native. This allows users to visually confirm that most of their income information has already been automatically collected, enabling them to quickly input only the additional information they need. 【0120】 The server uses Python to cross-reference collected data with a legal database and analyzes preferential tax treatment using TENSORFLOW®. Based on the analysis results, it automatically generates optimal tax return documents and submits them online to the tax authorities via the internet. 【0121】 Users can preview the generated tax return documents through their device and make corrections as needed. This entire process allows users to file their income tax returns very efficiently and complete accurate tax processing even without specialized knowledge. 【0122】 For example, if a user conducts sales activities through an online shop over the course of a year, their sales revenue is automatically collected as electronic transaction information, and the user only needs to manually enter information about additional expenses, thus automating almost the entire reporting process. 【0123】 An example of a prompt using a generated AI model would be: "The user's annual sales revenue is 2.5 million yen, and they spend 200,000 yen on office supplies as expenses. Please tell me the optimal income tax deduction considering applicable tax incentives." 【0124】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0125】 Step 1: 【0126】 The server retrieves legal data from multiple data sources. Specifically, it uses APIs from government agencies and related organizations to scrape or download legal information. It uses the URLs or API endpoints of the data sources as input and stores the retrieved legal data in a database as output. 【0127】 Step 2: 【0128】 The terminal collects income and financial investment information from the user. The user inputs information in a question-and-answer format through a user interface built with React Native. Inputs include user responses and transaction information, while output is the transmission of this data to the server, ready for analysis. 【0129】 Step 3: 【0130】 The server automatically retrieves the user's transaction history through the electronic payment platform's API. The user's authentication information and API key are used as input, and the transaction history data is stored in the server's database as output. 【0131】 Step 4: 【0132】 The server uses Python to compare collected user data with a legal database and analyze preferential tax treatment. TensorFlow is used for data analysis. This process takes user income information and legal data as input, and outputs the analysis results, determining the most suitable deductions and preferential treatments. 【0133】 Step 5: 【0134】 The server automatically generates tax return documents based on the analysis results and prepares them for online submission. The input is the result data from the analysis, and the output is a document in the tax return format, which is stored on the submission system. 【0135】 Step 6: 【0136】 The terminal displays a preview of the generated declaration to the user. The user can review it and make any necessary corrections. The input is the generated declaration, and the output is the final version of the declaration approved by the user. 【0137】 Step 7: 【0138】 The server submits tax returns to the tax authorities' online system and monitors the subsequent progress and refund status. The input consists of approved tax returns, and the output includes submission confirmation information and refund status notifications to the user. 【0139】 By utilizing a generative AI model, the server can improve its analysis accuracy and enhance the quality of suggestions provided to the user. The prompt provided to the user might be a specific question such as, "The user's annual sales revenue is 2.5 million yen, and they spend 200,000 yen on office supplies. Please tell me the optimal income tax deduction considering applicable tax incentives." 【0140】 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. 【0141】 This invention is an income tax return support system equipped with an emotion engine. The system not only handles a series of processes from managing legal data to automatically generating tax return documents and submitting them online, but also has the function of recognizing the user's emotions and providing appropriate interactions. 【0142】 Acquisition and management of legal data 【0143】 First, the server regularly collects legal data from multiple reliable sources and keeps the database up-to-date, enabling it to respond quickly to changes in tax laws. This allows for accurate analysis of income and investment information entered by users. 【0144】 Collection of user information 【0145】 The user enters the necessary income and investment information via a client terminal, following the guide displayed on the interface. To ensure a stress-free user input process, an emotion engine analyzes the user's facial expressions and tone of voice, determining their emotional state in real time. 【0146】 Utilizing the Emotion Engine 【0147】 The device adjusts the user interface's responses and displayed content based on data obtained from the emotion engine. For example, if it detects that the user is feeling confused or stressed, it provides more concise explanations or hints. 【0148】 Data analysis and preparation of tax return documents 【0149】 The server compares collected user data with a legal database and automatically analyzes applicable tax incentives. Based on this, it generates accurate tax return documents. An emotion engine monitors the user's emotions and adjusts notifications as needed. 【0150】 Review and correction of declaration documents 【0151】 The system provides an interface for users to review the generated declaration documents and correct errors or add additional information. The sentiment engine also assesses the user's state throughout this process, providing support to reduce frustration. 【0152】 Online submission and follow-up 【0153】 The final version of the tax return is sent via the server to the tax authority's online portal. The user is then notified of the submission status and refund progress in real time. The emotional engine dynamically adjusts how information is presented to ensure the user can complete the process with confidence. 【0154】 Specific example 【0155】 For example, if a user wants to report multiple income streams related to real estate and stocks, the system they use utilizes an emotion engine to instantly detect any anxieties or questions the user might have. It then supports a smooth program progression by providing additional explanations or more concise guides. As a result, users can complete their reporting without stress and in a more accurate manner. 【0156】 The following describes the processing flow. 【0157】 Step 1: 【0158】 The server retrieves the latest legal information from government and trusted legal databases. The server stores this data in an internal database and performs regular updates to ensure it remains up-to-date. 【0159】 Step 2: 【0160】 Users log in to the system via a client terminal and enter income information, such as earnings and investment details, according to the interface. During this process, an emotion engine reads the user's emotions in real time through their facial expressions and tone of voice. 【0161】 Step 3: 【0162】 If the emotion engine detects user stress or anxiety, the device will modify the interface. Specifically, it will make instructions easier to understand and display additional guides to help users comfortably input information. 【0163】 Step 4: 【0164】 The server analyzes the information received from the user and compares it with a legal database. This allows it to accurately determine which preferential tax treatments are applicable. Based on the analysis results, the server automatically generates the necessary tax return documents. 【0165】 Step 5: 【0166】 The terminal displays the generated declaration form to the user and prompts them to review its contents. The user reviews the declaration form to check for any errors or omissions. The emotion engine adjusts the interface as needed at this stage to reduce emotional burden. 【0167】 Step 6: 【0168】 Once the user has completed the verification and made any necessary corrections, the terminal finalizes the tax return and sends it to the server. The server then prepares the verified tax return for submission to the tax authority's online system. 【0169】 Step 7: 【0170】 The server formally submits the tax return online and confirms its acceptance. The server monitors the status of the tax return and the progress of the refund in real time after submission and stores this information within the system. 【0171】 Step 8: 【0172】 The device notifies the user that the submission is complete and informs them of the refund status and processing progress. The emotion engine changes the interface content as needed through communication during this process to enhance the user's sense of security. 【0173】 This continuous process allows users to file accurate tax returns while simultaneously minimizing emotional stress during the process. 【0174】 (Example 2) 【0175】 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". 【0176】 Traditional income tax filing systems have the drawback of failing to adequately address the stress and confusion experienced by users. In particular, delays in responding to inquiries regarding complex laws and tax regulations increase the risk of errors during filing. Furthermore, manual collection and analysis of income and investment information is prone to errors, resulting in a lack of efficiency in online applications. A system that overcomes these shortcomings and allows users to file their taxes accurately and with peace of mind is needed. 【0177】 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. 【0178】 In this invention, the server includes means for acquiring and maintaining up-to-date normative data from multiple information sources; means for collecting income and investment information from the user through a user device; means for analyzing preferential tax treatment by comparing the collected information with a normative database; and means for evaluating the user's emotional state using an emotion recognition engine and dynamically adjusting the user interface. This enables quick and accurate income tax filing while reducing the emotional burden on the user. 【0179】 "Information sources" refer to multiple trusted data providers that the system uses to collect normative data. 【0180】 "Normative data" refers to a dataset containing up-to-date information on laws and tax regulations necessary for filing income tax returns. 【0181】 "Device used" refers to a client device that a user uses to input income and investment information through an interface. 【0182】 "User" refers to the individual person who uses the income tax filing system. 【0183】 "Income information" refers to detailed data regarding the user's annual income. 【0184】 "Investment information" refers to detailed investment data held by the user. 【0185】 "Preferential tax treatment" refers to legal measures that provide tax reductions or deductions applicable to employers. 【0186】 An "emotion recognition engine" refers to technology that analyzes a user's facial expressions and voice to determine their emotional state in real time. 【0187】 "User interface" refers to the screen display and operating environment that a system uses to interact with and exchange information with its user. 【0188】 This system demonstrates a specific form of implementing income tax return support technology that incorporates an emotion recognition engine. The system's implementation is described below. 【0189】 First, the server periodically retrieves normative data from multiple reliable sources using APIs or similar methods. This information includes the latest laws and tax regulations and is stored in a database system (e.g., a general database management system). The server maintains the accuracy of the data by performing periodic synchronization. 【0190】 Next, the user accesses the interface via an internet browser or mobile app through their device. This interface is built on an HTML framework, and the user inputs their income and investment information. The interface design is carefully crafted to be user-friendly and intuitive. 【0191】 The device is equipped with an emotion recognition engine and acquires audio and visual data through the camera and microphone when the user inputs information. This data is analyzed in real time using an emotion analysis library (e.g., an open-source analysis library), and the resulting emotion data is used to dynamically adjust the user interface's responses. 【0192】 Next, the server receives the data entered by the user, compares it with the acquired normative database, and automatically analyzes the most suitable preferential tax treatment. The analysis is performed by a program such as a Python script, and a report document compliant with the regulations is generated. A PDF generation library is used for generation, and the report document is output appropriately according to the prescribed format. 【0193】 Finally, the user can review the final report and make corrections if necessary. The device continues to provide appropriate support based on sentiment recognition throughout this process. The final version of the report is then sent to the tax authority's online portal via a secure communication protocol through the server, and the user is notified of the progress in real time. 【0194】 For example, when filing tax returns for real estate and stock income, the system's strong emotion recognition capabilities help reduce user anxiety and facilitate a smooth filing process. 【0195】 Example of a prompt: 【0196】 "Please explain how to use an income tax filing support system equipped with an emotion engine to suggest the most suitable tax incentives based on the income information entered by the user, thereby providing stress-reducing support." 【0197】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0198】 Step 1: 【0199】 The server collects legal data. The server retrieves normative data from multiple sources using APIs and stores it in a database. As input, it receives response data from API endpoints and converts the data format as needed. As output, the formatted legal data is stored in the database. Specifically, scheduled jobs run periodically to check for newness and updates to the data. 【0200】 Step 2: 【0201】 The user inputs income and investment information. The user enters the necessary information through the interface, and the system receives this input. As input, the system retrieves numerical and textual information provided by the user and validates that data. As output, the validated user data is stored in temporary storage. In terms of specific operation, guide messages on the interface support the user and encourage error-free input. 【0202】 Step 3: 【0203】 The device activates its emotion recognition engine to acquire the user's emotional state. The device captures the user's voice and visual data and performs emotion recognition in real time. As input, it analyzes data streams obtained from the camera and microphone to extract various emotional parameters. As output, data indicating the user's emotional state is generated and used for dynamic adjustment of the interface. Specifically, if anxiety or impatience is detected, a message encouraging relaxation is displayed. 【0204】 Step 4: 【0205】 The server performs data analysis and generates reports. Using the collected user data, the server automatically analyzes tax incentives by cross-referencing it with a legal database. As input, it processes a dataset combining user information and normative data, and performs the necessary calculations. As output, a report document that meets the criteria is generated in PDF format. Specifically, tax-saving suggestions based on the calculation results are reflected in the document. 【0206】 Step 5: 【0207】 Users review the report document and make corrections as needed. Users view the electronically generated report document and verify the accuracy of the information. Input includes receiving user feedback and correction instructions, and updating the document accordingly. Output is a final version of the report document reflecting the corrections. Specifically, a user-friendly editing tool is provided, making corrections easy. 【0208】 Step 6: 【0209】 The server submits the report to the tax authorities and monitors its progress. The server transmits the finalized report via a secure communication channel and tracks its submission status. Inputs include confirmation from users who have approved the final version of the document and the status of the online system. Outputs include recording submission confirmations and progress, and notifying the user. Specifically, email notifications or in-app notifications are provided to the user to enhance their sense of security. 【0210】 (Application Example 2) 【0211】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0212】 Modern consumers often experience stress due to increasingly complex tax systems and daily financial management. In particular, during income tax filing season, many users feel anxious about adapting to changes in tax laws while preparing tax returns that accurately reflect their financial situation. Therefore, recognizing these emotional shifts and providing appropriate feedback is crucial to reducing user stress and supporting better purchasing decisions. 【0213】 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. 【0214】 This invention includes a server that acquires rule data from multiple sources and maintains it up-to-date, a server that acquires income data and asset information from users through client terminals, and a server that analyzes tax benefits based on the collected data by comparing it with a rule database. This makes it possible to analyze the user's emotional state in real time and provide feedback according to that state. This is expected to streamline the tax filing and expenditure management process and improve the quality of user decision-making. 【0215】 A "source of information" is a system or method that can collect data from multiple reliable sources. 【0216】 "Regulatory data" refers to data collected and updated to keep tax and financial laws and regulations current. 【0217】 "Income data" refers to financial information necessary to accurately understand the income situation of users. 【0218】 "Asset information" refers to detailed data about the assets owned by the user. 【0219】 A "rule database" is a database system that systematically stores rule data and makes it searchable. 【0220】 "Tax incentives" refer to tax benefits that are applied under tax law when certain conditions are met. 【0221】 A "tax return" is an official document generated to reflect a user's income and asset information for submission to the tax authorities. 【0222】 "Means of online submission" refers to technologies or methods that enable the electronic submission of documents through public institution portals or similar means. 【0223】 An "emotion processing system" is a system that analyzes a user's facial expressions and tone of voice to determine their emotional state. 【0224】 "Feedback" refers to information that supports behavior through responses and advice provided based on the user's emotional state. 【0225】 "Purchase advice" refers to specific suggestions and information provided to support users' purchasing behavior. 【0226】 The system implementing this invention aims to enable users to file income tax returns and manage daily expenses efficiently and with minimal stress. 【0227】 The server regularly retrieves rule data from multiple reliable sources to keep it up-to-date. This data is stored in a rule database and cross-referenced with income and asset information collected from users. The analyzed data automatically identifies tax benefits and generates the corresponding tax return. The generated tax return is submitted electronically to the tax authorities via an online portal. 【0228】 The device is equipped with an emotion processing system that analyzes the user's facial expressions and tone of voice in real time. This allows it to provide feedback tailored to the user's emotions. This feedback includes concise guides to reduce stress and purchasing advice when buying products. For example, if the user is hesitant when considering purchasing an expensive item, the device might advise, "Do you really need this product? Check out our coupons." 【0229】 Users input income and asset information through a client terminal, and this information is processed by the server. Furthermore, the user's emotional state is analyzed, and the interface is adjusted and feedback is provided based on the results. 【0230】 As a concrete example, here is an example of a prompt statement for a generative AI model: 【0231】 "Based on the analysis of user emotions, please consider how to advise users who feel hesitant when purchasing a product, and develop suggestions to make their purchase more meaningful." 【0232】 This enables adaptive information provision based on user emotions, allowing users to proceed with transactions with peace of mind. 【0233】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0234】 Step 1: 【0235】 The server periodically retrieves rule data from multiple sources to keep it up-to-date. This input process uses APIs and data feeds to collect data from trusted sources and store it in the rule database. The output is the updated rule database. 【0236】 Step 2: 【0237】 Users input income and asset information through a client terminal. The terminal interface displays input forms and prompts users to provide the required information accurately. The input data is sent to the server, and organized income and asset information is returned as output. 【0238】 Step 3: 【0239】 The server uses collected income and asset information to analyze tax benefits against a rules database. It performs calculations to identify applicable tax benefits. The generated analysis data is used as input for generating tax returns, and the output is data that reflects the tax benefits. 【0240】 Step 4: 【0241】 The server automatically generates a tax return based on the analyzed data. This process involves using templates to populate the data and create a tax return in the appropriate format. The output is a draft of the tax return. 【0242】 Step 5: 【0243】 The user reviews and modifies the generated declaration using the terminal interface. An emotion analysis engine assesses the user's emotional state and provides brief explanations and hints if confusion or stress is detected. The input is user feedback, and the output is the final declaration document. 【0244】 Step 6: 【0245】 The server transmits the finalized tax return online to the tax authorities. Appropriate security protocols and authentication methods are used to ensure the data is transmitted securely. The output is a confirmation notification that the transmission is complete. 【0246】 Step 7: 【0247】 The device analyzes the user's emotional state in real time and provides emotion-based advice at the time of purchase. It sends prompt messages to a generative AI model and receives meaningful suggestions tailored to the user's emotions. The input is user emotion data, and the output is emotion-based feedback and purchase advice. 【0248】 Step 8: 【0249】 Users adjust their purchasing behavior based on the feedback provided, allowing them to manage their spending with confidence. The device uses existing search and sentiment data to refine the feedback for the next interaction. The output is experiential data for better purchasing choices. 【0250】 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. 【0251】 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. 【0252】 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. 【0253】 [Second Embodiment] 【0254】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0255】 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. 【0256】 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). 【0257】 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. 【0258】 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. 【0259】 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). 【0260】 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. 【0261】 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. 【0262】 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. 【0263】 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. 【0264】 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. 【0265】 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". 【0266】 This invention is a system that supports users in filing income tax returns efficiently and accurately. The system is designed to reduce the burden on users by automating complex processes such as obtaining legal data, collecting and analyzing information, and generating and submitting tax return documents. 【0267】 Acquisition and updating of legal data 【0268】 First, the server retrieves the latest legal data from multiple sources. The server stores this data in a database and updates it as needed to maintain its up-to-date status. This allows for a quick response even when tax laws change. 【0269】 Information gathering and dialogue 【0270】 Next, the terminal receives input from the user via a user interface. This interface presents questions about income and investment information, and the user inputs the necessary data by answering these questions. The terminal sends this information to the server for analysis. 【0271】 Data analysis and generation of declaration documents 【0272】 The server compares the received data with a legal database and analyzes available tax benefits. Based on the analysis results, it automatically generates income tax return documents in the appropriate format. This eliminates the need for detailed calculations and formatting. 【0273】 Review and correction of declaration documents 【0274】 The generated declaration form is presented to the user as a preview via the terminal. The user can review this content and enter any necessary corrections or additional information. Once the review is complete, the final declaration form is finalized at this point. 【0275】 Online submission and notification 【0276】 Finally, the server submits the finalized tax return to the tax authorities' online system. After submission, it monitors the status and notifies the user of important information, such as the progress of the refund. This allows the user to know in real time whether their tax return is being processed correctly. 【0277】 Specific example 【0278】 For example, assume there is a user who obtained real estate income and profit from stocks in the previous year. This user first accesses the terminal and inputs the amount of income obtained, transaction details, etc. The server analyzes this and determines the optimal deductions and preferential measures, and automatically creates the tax return documents. Confirmation is carried out by the user, and if there are no particular problems, the online submission proceeds as it is, and the status of submission confirmation and refund is notified to the user as appropriate. 【0279】 With this system, even without specialized knowledge, users can reliably complete complex tax procedures. 【0280】 The processing flow will be described below. 【0281】 Step 1: 【0282】 The server obtains the latest legal regulation data from government agencies or public databases through APIs. The obtained data is saved in the legal regulation database within the server, and the existing data is updated as necessary. 【0283】 Step 2: 【0284】 The user uses the terminal to log in to the system and is prompted to input their income information and investment information on the interface. The terminal prepares to send the collected data to the server. 【0285】 Step 3: 【0286】 The server receives the income information and investment information sent from the terminal and starts analysis by referring to the legal regulation database. Specifically, it calculates applicable tax preferential measures and deductions, and determines what the optimal tax return method is to provide to the user. 【0287】 Step 4: 【0288】 Based on the analysis results, the server automatically generates tax return documents. The generated tax return documents are arranged in a format that allows the user to easily confirm. 【0289】 Step 5: 【0290】 The terminal displays the generated declaration form to the user and prompts them to review its contents. The user reviews the displayed declaration and makes corrections if necessary. This correction information is then sent from the terminal to the server. 【0291】 Step 6: 【0292】 The server incorporates user-submitted corrections and finalizes the declaration form. This ensures that accurate information is included in the declaration. 【0293】 Step 7: 【0294】 The server submits the finalized tax return to the tax authority's online portal. It then checks the submission status and tracks the acceptance status and refund progress as needed. 【0295】 Step 8: 【0296】 The device notifies the user of information regarding the acceptance status and refund progress. Through this information, the user can understand the stage of their tax filing process in real time and take the next action as needed. 【0297】 (Example 1) 【0298】 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." 【0299】 The current income tax filing process is complex, requiring individuals to expend a significant amount of time and effort. In particular, keeping up with frequent legal changes and utilizing optimal tax benefits is difficult, leading many to file incorrectly or miss out on deductions. To address this challenge, a system is needed that automatically generates tax returns through timely updates of legal data, efficient information gathering, and accurate analysis. 【0300】 The specific processing by the specific processing unit 290 of the data processing apparatus 12 in Example 1 is realized by the following means. 【0301】 In this invention, the server includes means for acquiring rule data from a plurality of information sources and maintaining it in the latest state, means for analyzing the preferential tax system in contrast to the rule database based on the collected information, and means for automatically generating a tax return document based on the analysis result using a generative AI model. Thereby, it becomes possible for the user to conduct tax declaration efficiently and accurately without being troubled by complicated procedures. 【0302】 An "information source" is an external database or online service referred to for acquiring data and rule information. 【0303】 "Rule data" is data describing information on the latest laws and tax systems, and provides the basic information necessary for declaration. 【0304】 A "usage device" is a terminal or device used by the user for inputting and confirming information. 【0305】 "Income information" is detailed information on income necessary for tax declaration, such as salary, business income, and profits from investments obtained by the user in one year. 【0306】 "Investment information" is information related to the user's investment activities, such as stocks, real estate, and securities. 【0307】 A "rule database" is a data storage where rule data is accumulated and used for collation and analysis. 【0308】 The "preferential tax system" refers to deductions and privileges defined by law to reduce the tax burden. 【0309】 A "generative AI model" is an algorithm for analyzing data using machine learning and artificial intelligence techniques to make specific judgments and predictions. 【0310】 A "tax return document" refers to the official declaration documents that a user must submit to the tax authorities, and is a document that reflects the calculated tax amount and deductions. 【0311】 An "information input / output device" is a hardware and software system that provides an interface for users to review and correct their declared information. 【0312】 "Sending online" refers to the process of transmitting digital data to a remote system via an internet connection. 【0313】 This invention is a system for users to efficiently file income tax returns. The system consists of a server, terminals, and users. The server obtains the latest rule data from multiple sources and stores it in data storage. This data is used as up-to-date information, including tax incentives and changes. The server communicates with trusted external databases via APIs and automatically retrieves rule data. The retrieved data is stored in an internal rule database and prepared for analysis. 【0314】 The terminal functions as an information input / output device for users to enter data. This terminal provides users with an interactive interface, prompting them to enter income and investment information. The data entered by the user is securely transmitted from the terminal to the server in an encrypted state. This data is used to generate tax return documents, taking into account the individual circumstances of each user. 【0315】 The server uses a generative AI model to analyze the received information and the information in the rules database. This process is performed to identify the most suitable deductions and preferential treatments and to automatically generate tax return documents. The generative AI model performs analysis based on prompts tailored to the user's specific situation. For example, if the prompt is "Please tell me how to generate a suitable tax return if I had real estate income and stock profits in the previous year," the server will output a tax return document based on the results. 【0316】 The server submits the final tax return documents online to the tax authorities and then notifies the user of the progress and refund information. This allows users to complete their tax filing accurately and effectively without feeling overwhelmed by the complexities of the process. 【0317】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0318】 Step 1: 【0319】 The server accesses multiple sources of information and retrieves the latest rule data via APIs. The server assumes the incoming data is in JSON format, parses the rule data, and stores it in internal data storage. The input data is rule information from an online database, and the output is an updated rule database. This process ensures the server always maintains the most up-to-date legal information. 【0320】 Step 2: 【0321】 Users log in using their devices and input income and investment information through a dedicated user interface. User input is collected using an interactive form that is intuitive and prompts for necessary information in a timely manner. The input data consists of the user's income and investment information, and the output is encrypted user data sent to the server. 【0322】 Step 3: 【0323】 The server receives encrypted user data and compares it against its internal rule database. At this stage, the server uses a generative AI model to analyze the user data and rule data as prompts. A typical prompt might be: "Please tell me how to generate a suitable tax return if I had real estate income and stock profits in the previous year." The input data consists of user information and rule data, and the output is the analyzed tax strategy. 【0324】 Step 4: 【0325】 Based on the results analyzed by the generation AI model, the server automatically generates the appropriate tax return documents. These documents contain all the information the user needs for filing. The generated documents are output in PDF or electronic file format and sent to the terminal. 【0326】 Step 5: 【0327】 The terminal displays a preview of the generated tax return document to the user. The user can review the displayed document and provide corrections or additional information as needed. The input consists of the user's confirmations and corrections, and the final output is the confirmed tax return document. 【0328】 Step 6: 【0329】 The server submits the verified tax return documents to the tax authority's online system. After submission, the server monitors the submission status to confirm whether it was processed successfully. The input data is the verified tax return documents, and the output is the tax authority's confirmation of receipt. 【0330】 Step 7: 【0331】 Ultimately, the server monitors feedback from tax authorities and refund progress information, and notifies the user of this information. This allows the user to check the stage of their tax return in real time. The input is progress information from tax authorities, and the output is the latest notification to the user. 【0332】 (Application Example 1) 【0333】 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." 【0334】 Filing income tax returns is a complex and time-consuming process for many people, and it is especially difficult to file properly in accordance with the latest laws and regulations. Furthermore, it is necessary for individuals to accurately reflect their daily transactions as income information, a process that involves considerable effort. Transparency is also essential for checking the status and progress of refunds after filing. 【0335】 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. 【0336】 In this invention, the server includes means for acquiring and maintaining up-to-date legal data from multiple data sources, means for collecting income information and financial investment information from users via remote devices, and means for automatically acquiring electronic transaction information and utilizing it as income information. This enables the automation of efficient and accurate income tax filing and the management of its progress. 【0337】 A "data source" refers to a variety of information providers from which information is obtained, and it plays a role in collecting the latest legal data and electronic transaction information. 【0338】 A "remote device" is a device used to input and receive data via the internet, and functions as a means of collecting income information and financial investment information from users. 【0339】 A "legal data bank" refers to a database that stores the latest tax and legal information and provides this information as needed. 【0340】 "Means of evaluating preferential tax treatment" refers to methods or mechanisms for analyzing applicable tax incentives by comparing collected information with information in a legal database. 【0341】 "Tax return documents" refer to official documents that contain information regarding income tax and are prepared for submission to the tax authorities. 【0342】 "Means of online submission" means a method or technology for automatically transmitting generated tax returns to the tax authority's system via the internet. 【0343】 "Electronic transaction information" refers to transaction history data from transactions conducted through electronic payments, which is automatically acquired for use as user income information. 【0344】 In this invention, the server acquires the latest legal data from multiple data sources and stores it in a database. The server also automatically acquires the user's transaction history from the electronic payment platform and uses this information as the user's income information. 【0345】 The device collects income and financial investment information directly from the user via a user interface built with React Native. This allows users to visually confirm that most of their income information has already been automatically collected, enabling them to quickly input only the additional information they need. 【0346】 The server uses Python to cross-reference collected data with a legal database and performs tax treatment analysis using TensorFlow. Based on the analysis results, it automatically generates optimal tax return documents and submits them online to the tax authorities via the internet. 【0347】 Users can preview the generated tax return documents through their device and make corrections as needed. This entire process allows users to file their income tax returns very efficiently and complete accurate tax processing even without specialized knowledge. 【0348】 For example, if a user conducts sales activities through an online shop over the course of a year, their sales revenue is automatically collected as electronic transaction information, and the user only needs to manually enter information about additional expenses, thus automating almost the entire reporting process. 【0349】 An example of a prompt using a generated AI model would be: "The user's annual sales revenue is 2.5 million yen, and they spend 200,000 yen on office supplies as expenses. Please tell me the optimal income tax deduction considering applicable tax incentives." 【0350】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0351】 Step 1: 【0352】 The server retrieves legal data from multiple data sources. Specifically, it uses APIs from government agencies and related organizations to scrape or download legal information. It uses the URLs or API endpoints of the data sources as input and stores the retrieved legal data in a database as output. 【0353】 Step 2: 【0354】 The terminal collects income and financial investment information from the user. The user inputs information in a question-and-answer format through a user interface built with React Native. Inputs include user responses and transaction information, while output is the transmission of this data to the server, ready for analysis. 【0355】 Step 3: 【0356】 The server automatically retrieves the user's transaction history through the electronic payment platform's API. The user's authentication information and API key are used as input, and the transaction history data is stored in the server's database as output. 【0357】 Step 4: 【0358】 The server uses Python to compare collected user data with a legal database and analyze preferential tax treatment. TensorFlow is used for data analysis. This process takes user income information and legal data as input, and outputs the analysis results, determining the most suitable deductions and preferential treatments. 【0359】 Step 5: 【0360】 The server automatically generates tax return documents based on the analysis results and prepares them for online submission. The input is the result data from the analysis, and the output is a document in the tax return format, which is stored on the submission system. 【0361】 Step 6: 【0362】 The terminal displays a preview of the generated declaration to the user. The user can review it and make any necessary corrections. The input is the generated declaration, and the output is the final version of the declaration approved by the user. 【0363】 Step 7: 【0364】 The server submits tax returns to the tax authorities' online system and monitors the subsequent progress and refund status. The input consists of approved tax returns, and the output includes submission confirmation information and refund status notifications to the user. 【0365】 By utilizing a generative AI model, the server can improve its analysis accuracy and enhance the quality of suggestions provided to the user. The prompt provided to the user might be a specific question such as, "The user's annual sales revenue is 2.5 million yen, and they spend 200,000 yen on office supplies. Please tell me the optimal income tax deduction considering applicable tax incentives." 【0366】 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. 【0367】 This invention is an income tax return support system equipped with an emotion engine. The system not only handles a series of processes from managing legal data to automatically generating tax return documents and submitting them online, but also has the function of recognizing the user's emotions and providing appropriate interactions. 【0368】 Acquisition and management of legal data 【0369】 First, the server regularly collects legal data from multiple reliable sources and keeps the database up-to-date, enabling it to respond quickly to changes in tax laws. This allows for accurate analysis of income and investment information entered by users. 【0370】 Collection of user information 【0371】 The user enters the necessary income and investment information via a client terminal, following the guide displayed on the interface. To ensure a stress-free user input process, an emotion engine analyzes the user's facial expressions and tone of voice, determining their emotional state in real time. 【0372】 Utilizing the Emotion Engine 【0373】 The device adjusts the user interface's responses and displayed content based on data obtained from the emotion engine. For example, if it detects that the user is feeling confused or stressed, it provides more concise explanations or hints. 【0374】 Data analysis and preparation of tax return documents 【0375】 The server compares collected user data with a legal database and automatically analyzes applicable tax incentives. Based on this, it generates accurate tax return documents. An emotion engine monitors the user's emotions and adjusts notifications as needed. 【0376】 Review and correction of declaration documents 【0377】 The system provides an interface for users to review the generated declaration documents and correct errors or add additional information. The sentiment engine also assesses the user's state throughout this process, providing support to reduce frustration. 【0378】 Online submission and follow-up 【0379】 The final version of the tax return is sent via the server to the tax authority's online portal. The user is then notified of the submission status and refund progress in real time. The emotional engine dynamically adjusts how information is presented to ensure the user can complete the process with confidence. 【0380】 Specific example 【0381】 For example, if a user wants to report multiple income streams related to real estate and stocks, the system they use utilizes an emotion engine to instantly detect any anxieties or questions the user might have. It then supports a smooth program progression by providing additional explanations or more concise guides. As a result, users can complete their reporting without stress and in a more accurate manner. 【0382】 The following describes the processing flow. 【0383】 Step 1: 【0384】 The server retrieves the latest legal information from government and trusted legal databases. The server stores this data in an internal database and performs regular updates to ensure it remains up-to-date. 【0385】 Step 2: 【0386】 Users log in to the system via a client terminal and enter income information, such as earnings and investment details, according to the interface. During this process, an emotion engine reads the user's emotions in real time through their facial expressions and tone of voice. 【0387】 Step 3: 【0388】 If the emotion engine detects user stress or anxiety, the device will modify the interface. Specifically, it will make instructions easier to understand and display additional guides to help users comfortably input information. 【0389】 Step 4: 【0390】 The server analyzes the information received from the user and compares it with a legal database. This allows it to accurately determine which preferential tax treatments are applicable. Based on the analysis results, the server automatically generates the necessary tax return documents. 【0391】 Step 5: 【0392】 The terminal displays the generated declaration form to the user and prompts them to review its contents. The user reviews the declaration form to check for any errors or omissions. The emotion engine adjusts the interface as needed at this stage to reduce emotional burden. 【0393】 Step 6: 【0394】 Once the user has completed the verification and made any necessary corrections, the terminal finalizes the tax return and sends it to the server. The server then prepares the verified tax return for submission to the tax authority's online system. 【0395】 Step 7: 【0396】 The server formally submits the tax return online and confirms its acceptance. The server monitors the status of the tax return and the progress of the refund in real time after submission and stores this information within the system. 【0397】 Step 8: 【0398】 The device notifies the user that the submission is complete and informs them of the refund status and processing progress. The emotion engine changes the interface content as needed through communication during this process to enhance the user's sense of security. 【0399】 This continuous process allows users to file accurate tax returns while simultaneously minimizing emotional stress during the process. 【0400】 (Example 2) 【0401】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0402】 Traditional income tax filing systems have the drawback of failing to adequately address the stress and confusion experienced by users. In particular, delays in responding to inquiries regarding complex laws and tax regulations increase the risk of errors during filing. Furthermore, manual collection and analysis of income and investment information is prone to errors, resulting in a lack of efficiency in online applications. A system that overcomes these shortcomings and allows users to file their taxes accurately and with peace of mind is needed. 【0403】 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. 【0404】 In this invention, the server includes means for acquiring and maintaining up-to-date normative data from multiple information sources; means for collecting income and investment information from the user through a user device; means for analyzing preferential tax treatment by comparing the collected information with a normative database; and means for evaluating the user's emotional state using an emotion recognition engine and dynamically adjusting the user interface. This enables quick and accurate income tax filing while reducing the emotional burden on the user. 【0405】 "Information sources" refer to multiple trusted data providers that the system uses to collect normative data. 【0406】 "Normative data" refers to a dataset containing up-to-date information on laws and tax regulations necessary for filing income tax returns. 【0407】 "Device used" refers to a client device that a user uses to input income and investment information through an interface. 【0408】 "User" refers to the individual person who uses the income tax filing system. 【0409】 "Income information" refers to detailed data regarding the user's annual income. 【0410】 "Investment information" refers to detailed investment data held by the user. 【0411】 "Preferential tax treatment" refers to legal measures that provide tax reductions or deductions applicable to employers. 【0412】 An "emotion recognition engine" refers to technology that analyzes a user's facial expressions and voice to determine their emotional state in real time. 【0413】 "User interface" refers to the screen display and operating environment that a system uses to interact with and exchange information with its user. 【0414】 This system demonstrates a specific form of implementing income tax return support technology that incorporates an emotion recognition engine. The system's implementation is described below. 【0415】 First, the server periodically retrieves normative data from multiple reliable sources using APIs or similar methods. This information includes the latest laws and tax regulations and is stored in a database system (e.g., a general database management system). The server maintains the accuracy of the data by performing periodic synchronization. 【0416】 Next, the user accesses the interface via an internet browser or mobile app through their device. This interface is built on an HTML framework, and the user inputs their income and investment information. The interface design is carefully crafted to be user-friendly and intuitive. 【0417】 The device is equipped with an emotion recognition engine and acquires audio and visual data through the camera and microphone when the user inputs information. This data is analyzed in real time using an emotion analysis library (e.g., an open-source analysis library), and the resulting emotion data is used to dynamically adjust the user interface's responses. 【0418】 Next, the server receives the data entered by the user, compares it with the acquired normative database, and automatically analyzes the most suitable preferential tax treatment. The analysis is performed by a program such as a Python script, and a report document compliant with the regulations is generated. A PDF generation library is used for generation, and the report document is output appropriately according to the prescribed format. 【0419】 Finally, the user can review the final report and make corrections if necessary. The device continues to provide appropriate support based on sentiment recognition throughout this process. The final version of the report is then sent to the tax authority's online portal via a secure communication protocol through the server, and the user is notified of the progress in real time. 【0420】 For example, when filing tax returns for real estate and stock income, the system's strong emotion recognition capabilities help reduce user anxiety and facilitate a smooth filing process. 【0421】 Example of a prompt: 【0422】 "Please explain how to use an income tax filing support system equipped with an emotion engine to suggest the most suitable tax incentives based on the income information entered by the user, thereby providing stress-reducing support." 【0423】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0424】 Step 1: 【0425】 The server collects legal data. The server retrieves normative data from multiple sources using APIs and stores it in a database. As input, it receives response data from API endpoints and converts the data format as needed. As output, the formatted legal data is stored in the database. Specifically, scheduled jobs run periodically to check for newness and updates to the data. 【0426】 Step 2: 【0427】 The user inputs income and investment information. The user enters the necessary information through the interface, and the system receives this input. As input, the system retrieves numerical and textual information provided by the user and validates that data. As output, the validated user data is stored in temporary storage. In terms of specific operation, guide messages on the interface support the user and encourage error-free input. 【0428】 Step 3: 【0429】 The device activates its emotion recognition engine to acquire the user's emotional state. The device captures the user's voice and visual data and performs emotion recognition in real time. As input, it analyzes data streams obtained from the camera and microphone to extract various emotional parameters. As output, data indicating the user's emotional state is generated and used for dynamic adjustment of the interface. Specifically, if anxiety or impatience is detected, a message encouraging relaxation is displayed. 【0430】 Step 4: 【0431】 The server performs data analysis and generates reports. Using the collected user data, the server automatically analyzes tax incentives by cross-referencing it with a legal database. As input, it processes a dataset combining user information and normative data, and performs the necessary calculations. As output, a report document that meets the criteria is generated in PDF format. Specifically, tax-saving suggestions based on the calculation results are reflected in the document. 【0432】 Step 5: 【0433】 Users review the report document and make corrections as needed. Users view the electronically generated report document and verify the accuracy of the information. Input includes receiving user feedback and correction instructions, and updating the document accordingly. Output is a final version of the report document reflecting the corrections. Specifically, a user-friendly editing tool is provided, making corrections easy. 【0434】 Step 6: 【0435】 The server submits the report to the tax authorities and monitors its progress. The server transmits the finalized report via a secure communication channel and tracks its submission status. Inputs include confirmation from users who have approved the final version of the document and the status of the online system. Outputs include recording submission confirmations and progress, and notifying the user. Specifically, email notifications or in-app notifications are provided to the user to enhance their sense of security. 【0436】 (Application Example 2) 【0437】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0438】 Modern consumers often experience stress due to increasingly complex tax systems and daily financial management. In particular, during income tax filing season, many users feel anxious about adapting to changes in tax laws while preparing tax returns that accurately reflect their financial situation. Therefore, recognizing these emotional shifts and providing appropriate feedback is crucial to reducing user stress and supporting better purchasing decisions. 【0439】 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. 【0440】 This invention includes a server that acquires rule data from multiple sources and maintains it up-to-date, a server that acquires income data and asset information from users through client terminals, and a server that analyzes tax benefits based on the collected data by comparing it with a rule database. This makes it possible to analyze the user's emotional state in real time and provide feedback according to that state. This is expected to streamline the tax filing and expenditure management process and improve the quality of user decision-making. 【0441】 A "source of information" is a system or method that can collect data from multiple reliable sources. 【0442】 "Regulatory data" refers to data collected and updated to keep tax and financial laws and regulations current. 【0443】 "Income data" refers to financial information necessary to accurately understand the income situation of users. 【0444】 "Asset information" refers to detailed data about the assets owned by the user. 【0445】 A "rule database" is a database system that systematically stores rule data and makes it searchable. 【0446】 "Tax incentives" refer to tax benefits that are applied under tax law when certain conditions are met. 【0447】 A "tax return" is an official document generated to reflect a user's income and asset information for submission to the tax authorities. 【0448】 "Means of online submission" refers to technologies or methods that enable the electronic submission of documents through public institution portals or similar means. 【0449】 An "emotion processing system" is a system that analyzes a user's facial expressions and tone of voice to determine their emotional state. 【0450】 "Feedback" refers to information that supports behavior through responses and advice provided based on the user's emotional state. 【0451】 "Purchase advice" refers to specific suggestions and information provided to support users' purchasing behavior. 【0452】 The system implementing this invention aims to enable users to file income tax returns and manage daily expenses efficiently and with minimal stress. 【0453】 The server regularly retrieves rule data from multiple reliable sources to keep it up-to-date. This data is stored in a rule database and cross-referenced with income and asset information collected from users. The analyzed data automatically identifies tax benefits and generates the corresponding tax return. The generated tax return is submitted electronically to the tax authorities via an online portal. 【0454】 The device is equipped with an emotion processing system that analyzes the user's facial expressions and tone of voice in real time. This allows it to provide feedback tailored to the user's emotions. This feedback includes concise guides to reduce stress and purchasing advice when buying products. For example, if the user is hesitant when considering purchasing an expensive item, the device might advise, "Do you really need this product? Check out our coupons." 【0455】 Users input income and asset information through a client terminal, and this information is processed by the server. Furthermore, the user's emotional state is analyzed, and the interface is adjusted and feedback is provided based on the results. 【0456】 As a concrete example, here is an example of a prompt statement for a generative AI model: 【0457】 "Based on the analysis of user emotions, please consider how to advise users who feel hesitant when purchasing a product, and develop suggestions to make their purchase more meaningful." 【0458】 This enables adaptive information provision based on user emotions, allowing users to proceed with transactions with peace of mind. 【0459】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0460】 Step 1: 【0461】 The server periodically retrieves rule data from multiple sources to keep it up-to-date. This input process uses APIs and data feeds to collect data from trusted sources and store it in the rule database. The output is the updated rule database. 【0462】 Step 2: 【0463】 Users input income and asset information through a client terminal. The terminal interface displays input forms and prompts users to provide the required information accurately. The input data is sent to the server, and organized income and asset information is returned as output. 【0464】 Step 3: 【0465】 The server uses collected income and asset information to analyze tax benefits against a rules database. It performs calculations to identify applicable tax benefits. The generated analysis data is used as input for generating tax returns, and the output is data that reflects the tax benefits. 【0466】 Step 4: 【0467】 The server automatically generates a tax return based on the analyzed data. This process involves using templates to populate the data and create a tax return in the appropriate format. The output is a draft of the tax return. 【0468】 Step 5: 【0469】 The user reviews and modifies the generated declaration using the terminal interface. An emotion analysis engine assesses the user's emotional state and provides brief explanations and hints if confusion or stress is detected. The input is user feedback, and the output is the final declaration document. 【0470】 Step 6: 【0471】 The server transmits the finalized tax return online to the tax authorities. Appropriate security protocols and authentication methods are used to ensure the data is transmitted securely. The output is a confirmation notification that the transmission is complete. 【0472】 Step 7: 【0473】 The device analyzes the user's emotional state in real time and provides emotion-based advice at the time of purchase. It sends prompt messages to a generative AI model and receives meaningful suggestions tailored to the user's emotions. The input is user emotion data, and the output is emotion-based feedback and purchase advice. 【0474】 Step 8: 【0475】 Users adjust their purchasing behavior based on the feedback provided, allowing them to manage their spending with confidence. The device uses existing search and sentiment data to refine the feedback for the next interaction. The output is experiential data for better purchasing choices. 【0476】 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. 【0477】 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. 【0478】 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. 【0479】 [Third Embodiment] 【0480】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0481】 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. 【0482】 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). 【0483】 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. 【0484】 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. 【0485】 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). 【0486】 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. 【0487】 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. 【0488】 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. 【0489】 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. 【0490】 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. 【0491】 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". 【0492】 This invention is a system that supports users in filing income tax returns efficiently and accurately. The system is designed to reduce the burden on users by automating complex processes such as obtaining legal data, collecting and analyzing information, and generating and submitting tax return documents. 【0493】 Acquisition and updating of legal data 【0494】 First, the server retrieves the latest legal data from multiple sources. The server stores this data in a database and updates it as needed to maintain its up-to-date status. This allows for a quick response even when tax laws change. 【0495】 Information gathering and dialogue 【0496】 Next, the terminal receives input from the user via a user interface. This interface presents questions about income and investment information, and the user inputs the necessary data by answering these questions. The terminal sends this information to the server for analysis. 【0497】 Data analysis and generation of declaration documents 【0498】 The server compares the received data with a legal database and analyzes available tax benefits. Based on the analysis results, it automatically generates income tax return documents in the appropriate format. This eliminates the need for detailed calculations and formatting. 【0499】 Review and correction of declaration documents 【0500】 The generated declaration form is presented to the user as a preview via the terminal. The user can review this content and enter any necessary corrections or additional information. Once the review is complete, the final declaration form is finalized at this point. 【0501】 Online submission and notification 【0502】 Finally, the server submits the finalized tax return to the tax authorities' online system. After submission, it monitors the status and notifies the user of important information, such as the progress of the refund. This allows the user to know in real time whether their tax return is being processed correctly. 【0503】 Specific example 【0504】 For example, suppose a user earned income from real estate and stocks in the previous year. This user first accesses a terminal and enters the amount of income earned, transaction details, etc. The server analyzes this information to determine the most suitable deductions and preferential treatments and automatically creates the tax return documents. The user reviews the documents, and if there are no particular problems, the online submission proceeds, and the user is notified of the submission confirmation and refund status as appropriate. 【0505】 This system allows users to reliably complete complex tax procedures even without specialized knowledge. 【0506】 The following describes the processing flow. 【0507】 Step 1: 【0508】 The server retrieves the latest legal data from government agencies and public databases via APIs. The retrieved data is stored in the server's legal database, and existing data is updated as needed. 【0509】 Step 2: 【0510】 The user logs into the system using their device and is prompted to enter their income and investment information on the interface. The device then prepares to send the collected data to the server. 【0511】 Step 3: 【0512】 The server receives income and investment information transmitted from the terminal and begins analysis by referring to the legal database. Specifically, it calculates applicable tax benefits and deductions and determines the best filing method to provide to the user. 【0513】 Step 4: 【0514】 The server automatically generates tax return documents based on the analysis results. The generated documents are formatted in a way that is easy for the user to review. 【0515】 Step 5: 【0516】 The terminal displays the generated declaration form to the user and prompts them to review its contents. The user reviews the displayed declaration and makes corrections if necessary. This correction information is then sent from the terminal to the server. 【0517】 Step 6: 【0518】 The server incorporates user-submitted corrections and finalizes the declaration form. This ensures that accurate information is included in the declaration. 【0519】 Step 7: 【0520】 The server submits the finalized tax return to the tax authority's online portal. It then checks the submission status and tracks the acceptance status and refund progress as needed. 【0521】 Step 8: 【0522】 The device notifies the user of information regarding the acceptance status and refund progress. Through this information, the user can understand the stage of their tax filing process in real time and take the next action as needed. 【0523】 (Example 1) 【0524】 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." 【0525】 The current income tax filing process is complex, requiring individuals to expend a significant amount of time and effort. In particular, keeping up with frequent legal changes and utilizing optimal tax benefits is difficult, leading many to file incorrectly or miss out on deductions. To address this challenge, a system is needed that automatically generates tax returns through timely updates of legal data, efficient information gathering, and accurate analysis. 【0526】 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. 【0527】 In this invention, the server includes means for acquiring rule data from multiple sources and maintaining it up-to-date, means for analyzing preferential tax systems by comparing the collected information with a rule database, and means for automatically generating tax return documents based on the analysis results using a generation AI model. This enables users to file tax returns efficiently and accurately without having to deal with complicated procedures. 【0528】 A "source of information" refers to an external database or online service that is referenced to obtain data or rule information. 【0529】 "Regulatory data" refers to data containing the latest information on laws and tax regulations, providing the foundational information necessary for filing tax returns. 【0530】 "User device" refers to a terminal or device used by a user to input or verify information. 【0531】 "Income information" refers to detailed information about the income a user has earned over the year, such as salary, business income, and profits from investments, which is necessary for filing tax returns. 【0532】 "Investment information" refers to information related to the user's investment activities, such as stocks, real estate, and securities. 【0533】 A "rule database" is a data storage system where rule data is accumulated and used for matching and analysis. 【0534】 A "preferential tax system" refers to deductions or benefits established by law to reduce the tax burden. 【0535】 A "generative AI model" is an algorithm that uses machine learning and artificial intelligence techniques to analyze data and make specific judgments and predictions. 【0536】 A "tax return document" refers to the official declaration documents that a user must submit to the tax authorities, and is a document that reflects the calculated tax amount and deductions. 【0537】 An "information input / output device" is a hardware and software system that provides an interface for users to review and correct their declared information. 【0538】 "Sending online" refers to the process of transmitting digital data to a remote system via an internet connection. 【0539】 This invention is a system for users to efficiently file income tax returns. The system consists of a server, terminals, and users. The server obtains the latest rule data from multiple sources and stores it in data storage. This data is used as up-to-date information, including tax incentives and changes. The server communicates with trusted external databases via APIs and automatically retrieves rule data. The retrieved data is stored in an internal rule database and prepared for analysis. 【0540】 The terminal functions as an information input / output device for users to enter data. This terminal provides users with an interactive interface, prompting them to enter income and investment information. The data entered by the user is securely transmitted from the terminal to the server in an encrypted state. This data is used to generate tax return documents, taking into account the individual circumstances of each user. 【0541】 The server uses a generative AI model to analyze the received information and the information in the rules database. This process is performed to identify the most suitable deductions and preferential treatments and to automatically generate tax return documents. The generative AI model performs analysis based on prompts tailored to the user's specific situation. For example, if the prompt is "Please tell me how to generate a suitable tax return if I had real estate income and stock profits in the previous year," the server will output a tax return document based on the results. 【0542】 The server submits the final tax return documents online to the tax authorities and then notifies the user of the progress and refund information. This allows users to complete their tax filing accurately and effectively without feeling overwhelmed by the complexities of the process. 【0543】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0544】 Step 1: 【0545】 The server accesses multiple sources of information and retrieves the latest rule data via APIs. The server assumes the incoming data is in JSON format, parses the rule data, and stores it in internal data storage. The input data is rule information from an online database, and the output is an updated rule database. This process ensures the server always maintains the most up-to-date legal information. 【0546】 Step 2: 【0547】 Users log in using their devices and input income and investment information through a dedicated user interface. User input is collected using an interactive form that is intuitive and prompts for necessary information in a timely manner. The input data consists of the user's income and investment information, and the output is encrypted user data sent to the server. 【0548】 Step 3: 【0549】 The server receives encrypted user data and compares it against its internal rule database. At this stage, the server uses a generative AI model to analyze the user data and rule data as prompts. A typical prompt might be: "Please tell me how to generate a suitable tax return if I had real estate income and stock profits in the previous year." The input data consists of user information and rule data, and the output is the analyzed tax strategy. 【0550】 Step 4: 【0551】 Based on the results analyzed by the generation AI model, the server automatically generates the appropriate tax return documents. These documents contain all the information the user needs for filing. The generated documents are output in PDF or electronic file format and sent to the terminal. 【0552】 Step 5: 【0553】 The terminal displays a preview of the generated tax return document to the user. The user can review the displayed document and provide corrections or additional information as needed. The input consists of the user's confirmations and corrections, and the final output is the confirmed tax return document. 【0554】 Step 6: 【0555】 The server submits the verified tax return documents to the tax authority's online system. After submission, the server monitors the submission status to confirm whether it was processed successfully. The input data is the verified tax return documents, and the output is the tax authority's confirmation of receipt. 【0556】 Step 7: 【0557】 Ultimately, the server monitors feedback from tax authorities and refund progress information, and notifies the user of this information. This allows the user to check the stage of their tax return in real time. The input is progress information from tax authorities, and the output is the latest notification to the user. 【0558】 (Application Example 1) 【0559】 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." 【0560】 Filing income tax returns is a complex and time-consuming process for many people, and it is especially difficult to file properly in accordance with the latest laws and regulations. Furthermore, it is necessary for individuals to accurately reflect their daily transactions as income information, a process that involves considerable effort. Transparency is also essential for checking the status and progress of refunds after filing. 【0561】 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. 【0562】 In this invention, the server includes means for acquiring and maintaining up-to-date legal data from multiple data sources, means for collecting income information and financial investment information from users via remote devices, and means for automatically acquiring electronic transaction information and utilizing it as income information. This enables the automation of efficient and accurate income tax filing and the management of its progress. 【0563】 A "data source" refers to a variety of information providers from which information is obtained, and it plays a role in collecting the latest legal data and electronic transaction information. 【0564】 A "remote device" is a device used to input and receive data via the internet, and functions as a means of collecting income information and financial investment information from users. 【0565】 A "legal data bank" refers to a database that stores the latest tax and legal information and provides this information as needed. 【0566】 "Means of evaluating preferential tax treatment" refers to methods or mechanisms for analyzing applicable tax incentives by comparing collected information with information in a legal database. 【0567】 "Tax return documents" refer to official documents that contain information regarding income tax and are prepared for submission to the tax authorities. 【0568】 "Means of online submission" means a method or technology for automatically transmitting generated tax returns to the tax authority's system via the internet. 【0569】 "Electronic transaction information" refers to transaction history data from transactions conducted through electronic payments, which is automatically acquired for use as user income information. 【0570】 In this invention, the server acquires the latest legal data from multiple data sources and stores it in a database. The server also automatically acquires the user's transaction history from the electronic payment platform and uses this information as the user's income information. 【0571】 The device collects income and financial investment information directly from the user via a user interface built with React Native. This allows users to visually confirm that most of their income information has already been automatically collected, enabling them to quickly input only the additional information they need. 【0572】 The server uses Python to cross-reference collected data with a legal database and performs tax treatment analysis using TensorFlow. Based on the analysis results, it automatically generates optimal tax return documents and submits them online to the tax authorities via the internet. 【0573】 Users can preview the generated tax return documents through their device and make corrections as needed. This entire process allows users to file their income tax returns very efficiently and complete accurate tax processing even without specialized knowledge. 【0574】 For example, if a user conducts sales activities through an online shop over the course of a year, their sales revenue is automatically collected as electronic transaction information, and the user only needs to manually enter information about additional expenses, thus automating almost the entire reporting process. 【0575】 An example of a prompt using a generated AI model would be: "The user's annual sales revenue is 2.5 million yen, and they spend 200,000 yen on office supplies as expenses. Please tell me the optimal income tax deduction considering applicable tax incentives." 【0576】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0577】 Step 1: 【0578】 The server retrieves legal data from multiple data sources. Specifically, it uses APIs from government agencies and related organizations to scrape or download legal information. It uses the URLs or API endpoints of the data sources as input and stores the retrieved legal data in a database as output. 【0579】 Step 2: 【0580】 The terminal collects income and financial investment information from the user. The user inputs information in a question-and-answer format through a user interface built with React Native. Inputs include user responses and transaction information, while output is the transmission of this data to the server, ready for analysis. 【0581】 Step 3: 【0582】 The server automatically retrieves the user's transaction history through the electronic payment platform's API. The user's authentication information and API key are used as input, and the transaction history data is stored in the server's database as output. 【0583】 Step 4: 【0584】 The server uses Python to compare collected user data with a legal database and analyze preferential tax treatment. TensorFlow is used for data analysis. This process takes user income information and legal data as input, and outputs the analysis results, determining the most suitable deductions and preferential treatments. 【0585】 Step 5: 【0586】 The server automatically generates tax return documents based on the analysis results and prepares them for online submission. The input is the result data from the analysis, and the output is a document in the tax return format, which is stored on the submission system. 【0587】 Step 6: 【0588】 The terminal displays a preview of the generated declaration to the user. The user can review it and make any necessary corrections. The input is the generated declaration, and the output is the final version of the declaration approved by the user. 【0589】 Step 7: 【0590】 The server submits tax returns to the tax authorities' online system and monitors the subsequent progress and refund status. The input consists of approved tax returns, and the output includes submission confirmation information and refund status notifications to the user. 【0591】 By utilizing a generative AI model, the server can improve its analysis accuracy and enhance the quality of suggestions provided to the user. The prompt provided to the user might be a specific question such as, "The user's annual sales revenue is 2.5 million yen, and they spend 200,000 yen on office supplies. Please tell me the optimal income tax deduction considering applicable tax incentives." 【0592】 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. 【0593】 This invention is an income tax return support system equipped with an emotion engine. The system not only handles a series of processes from managing legal data to automatically generating tax return documents and submitting them online, but also has the function of recognizing the user's emotions and providing appropriate interactions. 【0594】 Acquisition and management of legal data 【0595】 First, the server regularly collects legal data from multiple reliable sources and keeps the database up-to-date, enabling it to respond quickly to changes in tax laws. This allows for accurate analysis of income and investment information entered by users. 【0596】 Collection of user information 【0597】 The user enters the necessary income and investment information via a client terminal, following the guide displayed on the interface. To ensure a stress-free user input process, an emotion engine analyzes the user's facial expressions and tone of voice, determining their emotional state in real time. 【0598】 Utilizing the Emotion Engine 【0599】 The device adjusts the user interface's responses and displayed content based on data obtained from the emotion engine. For example, if it detects that the user is feeling confused or stressed, it provides more concise explanations or hints. 【0600】 Data analysis and preparation of tax return documents 【0601】 The server compares collected user data with a legal database and automatically analyzes applicable tax incentives. Based on this, it generates accurate tax return documents. An emotion engine monitors the user's emotions and adjusts notifications as needed. 【0602】 Review and correction of declaration documents 【0603】 The system provides an interface for users to review the generated declaration documents and correct errors or add additional information. The sentiment engine also assesses the user's state throughout this process, providing support to reduce frustration. 【0604】 Online submission and follow-up 【0605】 The final version of the tax return is sent via the server to the tax authority's online portal. The user is then notified of the submission status and refund progress in real time. The emotional engine dynamically adjusts how information is presented to ensure the user can complete the process with confidence. 【0606】 Specific example 【0607】 For example, if a user wants to report multiple income streams related to real estate and stocks, the system they use utilizes an emotion engine to instantly detect any anxieties or questions the user might have. It then supports a smooth program progression by providing additional explanations or more concise guides. As a result, users can complete their reporting without stress and in a more accurate manner. 【0608】 The following describes the processing flow. 【0609】 Step 1: 【0610】 The server retrieves the latest legal information from government and trusted legal databases. The server stores this data in an internal database and performs regular updates to ensure it remains up-to-date. 【0611】 Step 2: 【0612】 Users log in to the system via a client terminal and enter income information, such as earnings and investment details, according to the interface. During this process, an emotion engine reads the user's emotions in real time through their facial expressions and tone of voice. 【0613】 Step 3: 【0614】 If the emotion engine detects user stress or anxiety, the device will modify the interface. Specifically, it will make instructions easier to understand and display additional guides to help users comfortably input information. 【0615】 Step 4: 【0616】 The server analyzes the information received from the user and compares it with a legal database. This allows it to accurately determine which preferential tax treatments are applicable. Based on the analysis results, the server automatically generates the necessary tax return documents. 【0617】 Step 5: 【0618】 The terminal displays the generated declaration form to the user and prompts them to review its contents. The user reviews the declaration form to check for any errors or omissions. The emotion engine adjusts the interface as needed at this stage to reduce emotional burden. 【0619】 Step 6: 【0620】 Once the user has completed the verification and made any necessary corrections, the terminal finalizes the tax return and sends it to the server. The server then prepares the verified tax return for submission to the tax authority's online system. 【0621】 Step 7: 【0622】 The server formally submits the tax return online and confirms its acceptance. The server monitors the status of the tax return and the progress of the refund in real time after submission and stores this information within the system. 【0623】 Step 8: 【0624】 The device notifies the user that the submission is complete and informs them of the refund status and processing progress. The emotion engine changes the interface content as needed through communication during this process to enhance the user's sense of security. 【0625】 This continuous process allows users to file accurate tax returns while simultaneously minimizing emotional stress during the process. 【0626】 (Example 2) 【0627】 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." 【0628】 Traditional income tax filing systems have the drawback of failing to adequately address the stress and confusion experienced by users. In particular, delays in responding to inquiries regarding complex laws and tax regulations increase the risk of errors during filing. Furthermore, manual collection and analysis of income and investment information is prone to errors, resulting in a lack of efficiency in online applications. A system that overcomes these shortcomings and allows users to file their taxes accurately and with peace of mind is needed. 【0629】 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. 【0630】 In this invention, the server includes means for acquiring and maintaining up-to-date normative data from multiple information sources; means for collecting income and investment information from the user through a user device; means for analyzing preferential tax treatment by comparing the collected information with a normative database; and means for evaluating the user's emotional state using an emotion recognition engine and dynamically adjusting the user interface. This enables quick and accurate income tax filing while reducing the emotional burden on the user. 【0631】 "Information sources" refer to multiple trusted data providers that the system uses to collect normative data. 【0632】 "Normative data" refers to a dataset containing up-to-date information on laws and tax regulations necessary for filing income tax returns. 【0633】 "Device used" refers to a client device that a user uses to input income and investment information through an interface. 【0634】 "User" refers to the individual person who uses the income tax filing system. 【0635】 "Income information" refers to detailed data regarding the user's annual income. 【0636】 "Investment information" refers to detailed investment data held by the user. 【0637】 "Preferential tax treatment" refers to legal measures that provide tax reductions or deductions applicable to employers. 【0638】 An "emotion recognition engine" refers to technology that analyzes a user's facial expressions and voice to determine their emotional state in real time. 【0639】 "User interface" refers to the screen display and operating environment that a system uses to interact with and exchange information with its user. 【0640】 This system demonstrates a specific form of implementing income tax return support technology that incorporates an emotion recognition engine. The system's implementation is described below. 【0641】 First, the server periodically retrieves normative data from multiple reliable sources using APIs or similar methods. This information includes the latest laws and tax regulations and is stored in a database system (e.g., a general database management system). The server maintains the accuracy of the data by performing periodic synchronization. 【0642】 Next, the user accesses the interface via an internet browser or mobile app through their device. This interface is built on an HTML framework, and the user inputs their income and investment information. The interface design is carefully crafted to be user-friendly and intuitive. 【0643】 The device is equipped with an emotion recognition engine and acquires audio and visual data through the camera and microphone when the user inputs information. This data is analyzed in real time using an emotion analysis library (e.g., an open-source analysis library), and the resulting emotion data is used to dynamically adjust the user interface's responses. 【0644】 Next, the server receives the data entered by the user, compares it with the acquired normative database, and automatically analyzes the most suitable preferential tax treatment. The analysis is performed by a program such as a Python script, and a report document compliant with the regulations is generated. A PDF generation library is used for generation, and the report document is output appropriately according to the prescribed format. 【0645】 Finally, the user can review the final report and make corrections if necessary. The device continues to provide appropriate support based on sentiment recognition throughout this process. The final version of the report is then sent to the tax authority's online portal via a secure communication protocol through the server, and the user is notified of the progress in real time. 【0646】 For example, when filing tax returns for real estate and stock income, the system's strong emotion recognition capabilities help reduce user anxiety and facilitate a smooth filing process. 【0647】 Example of a prompt: 【0648】 "Please explain how to use an income tax filing support system equipped with an emotion engine to suggest the most suitable tax incentives based on the income information entered by the user, thereby providing stress-reducing support." 【0649】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0650】 Step 1: 【0651】 The server collects legal data. The server retrieves normative data from multiple sources using APIs and stores it in a database. As input, it receives response data from API endpoints and converts the data format as needed. As output, the formatted legal data is stored in the database. Specifically, scheduled jobs run periodically to check for newness and updates to the data. 【0652】 Step 2: 【0653】 The user inputs income and investment information. The user enters the necessary information through the interface, and the system receives this input. As input, the system retrieves numerical and textual information provided by the user and validates that data. As output, the validated user data is stored in temporary storage. In terms of specific operation, guide messages on the interface support the user and encourage error-free input. 【0654】 Step 3: 【0655】 The device activates its emotion recognition engine to acquire the user's emotional state. The device captures the user's voice and visual data and performs emotion recognition in real time. As input, it analyzes data streams obtained from the camera and microphone to extract various emotional parameters. As output, data indicating the user's emotional state is generated and used for dynamic adjustment of the interface. Specifically, if anxiety or impatience is detected, a message encouraging relaxation is displayed. 【0656】 Step 4: 【0657】 The server performs data analysis and generates reports. Using the collected user data, the server automatically analyzes tax incentives by cross-referencing it with a legal database. As input, it processes a dataset combining user information and normative data, and performs the necessary calculations. As output, a report document that meets the criteria is generated in PDF format. Specifically, tax-saving suggestions based on the calculation results are reflected in the document. 【0658】 Step 5: 【0659】 Users review the report document and make corrections as needed. Users view the electronically generated report document and verify the accuracy of the information. Input includes receiving user feedback and correction instructions, and updating the document accordingly. Output is a final version of the report document reflecting the corrections. Specifically, a user-friendly editing tool is provided, making corrections easy. 【0660】 Step 6: 【0661】 The server submits the report to the tax authorities and monitors its progress. The server transmits the finalized report via a secure communication channel and tracks its submission status. Inputs include confirmation from users who have approved the final version of the document and the status of the online system. Outputs include recording submission confirmations and progress, and notifying the user. Specifically, email notifications or in-app notifications are provided to the user to enhance their sense of security. 【0662】 (Application Example 2) 【0663】 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." 【0664】 Modern consumers often experience stress due to increasingly complex tax systems and daily financial management. In particular, during income tax filing season, many users feel anxious about adapting to changes in tax laws while preparing tax returns that accurately reflect their financial situation. Therefore, recognizing these emotional shifts and providing appropriate feedback is crucial to reducing user stress and supporting better purchasing decisions. 【0665】 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. 【0666】 This invention includes a server that acquires rule data from multiple sources and maintains it up-to-date, a server that acquires income data and asset information from users through client terminals, and a server that analyzes tax benefits based on the collected data by comparing it with a rule database. This makes it possible to analyze the user's emotional state in real time and provide feedback according to that state. This is expected to streamline the tax filing and expenditure management process and improve the quality of user decision-making. 【0667】 A "source of information" is a system or method that can collect data from multiple reliable sources. 【0668】 "Regulatory data" refers to data collected and updated to keep tax and financial laws and regulations current. 【0669】 "Income data" refers to financial information necessary to accurately understand the income situation of users. 【0670】 "Asset information" refers to detailed data about the assets owned by the user. 【0671】 A "rule database" is a database system that systematically stores rule data and makes it searchable. 【0672】 "Tax incentives" refer to tax benefits that are applied under tax law when certain conditions are met. 【0673】 A "tax return" is an official document generated to reflect a user's income and asset information for submission to the tax authorities. 【0674】 "Means of online submission" refers to technologies or methods that enable the electronic submission of documents through public institution portals or similar means. 【0675】 An "emotion processing system" is a system that analyzes a user's facial expressions and tone of voice to determine their emotional state. 【0676】 "Feedback" refers to information that supports behavior through responses and advice provided based on the user's emotional state. 【0677】 "Purchase advice" refers to specific suggestions and information provided to support users' purchasing behavior. 【0678】 The system implementing this invention aims to enable users to file income tax returns and manage daily expenses efficiently and with minimal stress. 【0679】 The server regularly retrieves rule data from multiple reliable sources to keep it up-to-date. This data is stored in a rule database and cross-referenced with income and asset information collected from users. The analyzed data automatically identifies tax benefits and generates the corresponding tax return. The generated tax return is submitted electronically to the tax authorities via an online portal. 【0680】 The device is equipped with an emotion processing system that analyzes the user's facial expressions and tone of voice in real time. This allows it to provide feedback tailored to the user's emotions. This feedback includes concise guides to reduce stress and purchasing advice when buying products. For example, if the user is hesitant when considering purchasing an expensive item, the device might advise, "Do you really need this product? Check out our coupons." 【0681】 Users input income and asset information through a client terminal, and this information is processed by the server. Furthermore, the user's emotional state is analyzed, and the interface is adjusted and feedback is provided based on the results. 【0682】 As a concrete example, here is an example of a prompt statement for a generative AI model: 【0683】 "Based on the analysis of user emotions, please consider how to advise users who feel hesitant when purchasing a product, and develop suggestions to make their purchase more meaningful." 【0684】 This enables adaptive information provision based on user emotions, allowing users to proceed with transactions with peace of mind. 【0685】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0686】 Step 1: 【0687】 The server periodically retrieves rule data from multiple sources to keep it up-to-date. This input process uses APIs and data feeds to collect data from trusted sources and store it in the rule database. The output is the updated rule database. 【0688】 Step 2: 【0689】 Users input income and asset information through a client terminal. The terminal interface displays input forms and prompts users to provide the required information accurately. The input data is sent to the server, and organized income and asset information is returned as output. 【0690】 Step 3: 【0691】 The server uses collected income and asset information to analyze tax benefits against a rules database. It performs calculations to identify applicable tax benefits. The generated analysis data is used as input for generating tax returns, and the output is data that reflects the tax benefits. 【0692】 Step 4: 【0693】 The server automatically generates a tax return based on the analyzed data. This process involves using templates to populate the data and create a tax return in the appropriate format. The output is a draft of the tax return. 【0694】 Step 5: 【0695】 The user reviews and modifies the generated declaration using the terminal interface. An emotion analysis engine assesses the user's emotional state and provides brief explanations and hints if confusion or stress is detected. The input is user feedback, and the output is the final declaration document. 【0696】 Step 6: 【0697】 The server transmits the finalized tax return online to the tax authorities. Appropriate security protocols and authentication methods are used to ensure the data is transmitted securely. The output is a confirmation notification that the transmission is complete. 【0698】 Step 7: 【0699】 The device analyzes the user's emotional state in real time and provides emotion-based advice at the time of purchase. It sends prompt messages to a generative AI model and receives meaningful suggestions tailored to the user's emotions. The input is user emotion data, and the output is emotion-based feedback and purchase advice. 【0700】 Step 8: 【0701】 Users adjust their purchasing behavior based on the feedback provided, allowing them to manage their spending with confidence. The device uses existing search and sentiment data to refine the feedback for the next interaction. The output is experiential data for better purchasing choices. 【0702】 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. 【0703】 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. 【0704】 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. 【0705】 [Fourth Embodiment] 【0706】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0707】 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. 【0708】 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). 【0709】 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. 【0710】 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. 【0711】 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). 【0712】 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. 【0713】 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. 【0714】 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. 【0715】 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. 【0716】 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. 【0717】 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. 【0718】 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". 【0719】 This invention is a system that supports users in filing income tax returns efficiently and accurately. The system is designed to reduce the burden on users by automating complex processes such as obtaining legal data, collecting and analyzing information, and generating and submitting tax return documents. 【0720】 Acquisition and updating of legal data 【0721】 First, the server retrieves the latest legal data from multiple sources. The server stores this data in a database and updates it as needed to maintain its up-to-date status. This allows for a quick response even when tax laws change. 【0722】 Information gathering and dialogue 【0723】 Next, the terminal receives input from the user via a user interface. This interface presents questions about income and investment information, and the user inputs the necessary data by answering these questions. The terminal sends this information to the server for analysis. 【0724】 Data analysis and generation of declaration documents 【0725】 The server compares the received data with a legal database and analyzes available tax benefits. Based on the analysis results, it automatically generates income tax return documents in the appropriate format. This eliminates the need for detailed calculations and formatting. 【0726】 Review and correction of declaration documents 【0727】 The generated declaration form is presented to the user as a preview via the terminal. The user can review this content and enter any necessary corrections or additional information. Once the review is complete, the final declaration form is finalized at this point. 【0728】 Online submission and notification 【0729】 Finally, the server submits the finalized tax return to the tax authorities' online system. After submission, it monitors the status and notifies the user of important information, such as the progress of the refund. This allows the user to know in real time whether their tax return is being processed correctly. 【0730】 Specific example 【0731】 For example, suppose a user earned income from real estate and stocks in the previous year. This user first accesses a terminal and enters the amount of income earned, transaction details, etc. The server analyzes this information to determine the most suitable deductions and preferential treatments and automatically creates the tax return documents. The user reviews the documents, and if there are no particular problems, the online submission proceeds, and the user is notified of the submission confirmation and refund status as appropriate. 【0732】 This system allows users to reliably complete complex tax procedures even without specialized knowledge. 【0733】 The following describes the processing flow. 【0734】 Step 1: 【0735】 The server retrieves the latest legal data from government agencies and public databases via APIs. The retrieved data is stored in the server's legal database, and existing data is updated as needed. 【0736】 Step 2: 【0737】 The user logs into the system using their device and is prompted to enter their income and investment information on the interface. The device then prepares to send the collected data to the server. 【0738】 Step 3: 【0739】 The server receives income and investment information transmitted from the terminal and begins analysis by referring to the legal database. Specifically, it calculates applicable tax benefits and deductions and determines the best filing method to provide to the user. 【0740】 Step 4: 【0741】 The server automatically generates tax return documents based on the analysis results. The generated documents are formatted in a way that is easy for the user to review. 【0742】 Step 5: 【0743】 The terminal displays the generated declaration form to the user and prompts them to review its contents. The user reviews the displayed declaration and makes corrections if necessary. This correction information is then sent from the terminal to the server. 【0744】 Step 6: 【0745】 The server incorporates user-submitted corrections and finalizes the declaration form. This ensures that accurate information is included in the declaration. 【0746】 Step 7: 【0747】 The server submits the finalized tax return to the tax authority's online portal. It then checks the submission status and tracks the acceptance status and refund progress as needed. 【0748】 Step 8: 【0749】 The device notifies the user of information regarding the acceptance status and refund progress. Through this information, the user can understand the stage of their tax filing process in real time and take the next action as needed. 【0750】 (Example 1) 【0751】 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". 【0752】 The current income tax filing process is complex, requiring individuals to expend a significant amount of time and effort. In particular, keeping up with frequent legal changes and utilizing optimal tax benefits is difficult, leading many to file incorrectly or miss out on deductions. To address this challenge, a system is needed that automatically generates tax returns through timely updates of legal data, efficient information gathering, and accurate analysis. 【0753】 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. 【0754】 In this invention, the server includes means for acquiring rule data from multiple sources and maintaining it up-to-date, means for analyzing preferential tax systems by comparing the collected information with a rule database, and means for automatically generating tax return documents based on the analysis results using a generation AI model. This enables users to file tax returns efficiently and accurately without having to deal with complicated procedures. 【0755】 A "source of information" refers to an external database or online service that is referenced to obtain data or rule information. 【0756】 "Regulatory data" refers to data containing the latest information on laws and tax regulations, providing the foundational information necessary for filing tax returns. 【0757】 "User device" refers to a terminal or device used by a user to input or verify information. 【0758】 "Income information" refers to detailed information about the income a user has earned over the year, such as salary, business income, and profits from investments, which is necessary for filing tax returns. 【0759】 "Investment information" refers to information related to the user's investment activities, such as stocks, real estate, and securities. 【0760】 A "rule database" is a data storage system where rule data is accumulated and used for matching and analysis. 【0761】 A "preferential tax system" refers to deductions or benefits established by law to reduce the tax burden. 【0762】 A "generative AI model" is an algorithm that uses machine learning and artificial intelligence techniques to analyze data and make specific judgments and predictions. 【0763】 A "tax return document" refers to the official declaration documents that a user must submit to the tax authorities, and is a document that reflects the calculated tax amount and deductions. 【0764】 An "information input / output device" is a hardware and software system that provides an interface for users to review and correct their declared information. 【0765】 "Sending online" refers to the process of transmitting digital data to a remote system via an internet connection. 【0766】 This invention is a system for users to efficiently file income tax returns. The system consists of a server, terminals, and users. The server obtains the latest rule data from multiple sources and stores it in data storage. This data is used as up-to-date information, including tax incentives and changes. The server communicates with trusted external databases via APIs and automatically retrieves rule data. The retrieved data is stored in an internal rule database and prepared for analysis. 【0767】 The terminal functions as an information input / output device for users to enter data. This terminal provides users with an interactive interface, prompting them to enter income and investment information. The data entered by the user is securely transmitted from the terminal to the server in an encrypted state. This data is used to generate tax return documents, taking into account the individual circumstances of each user. 【0768】 The server uses a generative AI model to analyze the received information and the information in the rules database. This process is performed to identify the most suitable deductions and preferential treatments and to automatically generate tax return documents. The generative AI model performs analysis based on prompts tailored to the user's specific situation. For example, if the prompt is "Please tell me how to generate a suitable tax return if I had real estate income and stock profits in the previous year," the server will output a tax return document based on the results. 【0769】 The server submits the final tax return documents online to the tax authorities and then notifies the user of the progress and refund information. This allows users to complete their tax filing accurately and effectively without feeling overwhelmed by the complexities of the process. 【0770】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0771】 Step 1: 【0772】 The server accesses multiple sources of information and retrieves the latest rule data via APIs. The server assumes the incoming data is in JSON format, parses the rule data, and stores it in internal data storage. The input data is rule information from an online database, and the output is an updated rule database. This process ensures the server always maintains the most up-to-date legal information. 【0773】 Step 2: 【0774】 Users log in using their devices and input income and investment information through a dedicated user interface. User input is collected using an interactive form that is intuitive and prompts for necessary information in a timely manner. The input data consists of the user's income and investment information, and the output is encrypted user data sent to the server. 【0775】 Step 3: 【0776】 The server receives encrypted user data and compares it against its internal rule database. At this stage, the server uses a generative AI model to analyze the user data and rule data as prompts. A typical prompt might be: "Please tell me how to generate a suitable tax return if I had real estate income and stock profits in the previous year." The input data consists of user information and rule data, and the output is the analyzed tax strategy. 【0777】 Step 4: 【0778】 Based on the results analyzed by the generation AI model, the server automatically generates the appropriate tax return documents. These documents contain all the information the user needs for filing. The generated documents are output in PDF or electronic file format and sent to the terminal. 【0779】 Step 5: 【0780】 The terminal displays a preview of the generated tax return document to the user. The user can review the displayed document and provide corrections or additional information as needed. The input consists of the user's confirmations and corrections, and the final output is the confirmed tax return document. 【0781】 Step 6: 【0782】 The server submits the verified tax return documents to the tax authority's online system. After submission, the server monitors the submission status to confirm whether it was processed successfully. The input data is the verified tax return documents, and the output is the tax authority's confirmation of receipt. 【0783】 Step 7: 【0784】 Ultimately, the server monitors feedback from tax authorities and refund progress information, and notifies the user of this information. This allows the user to check the stage of their tax return in real time. The input is progress information from tax authorities, and the output is the latest notification to the user. 【0785】 (Application Example 1) 【0786】 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". 【0787】 Filing income tax returns is a complex and time-consuming process for many people, and it is especially difficult to file properly in accordance with the latest laws and regulations. Furthermore, it is necessary for individuals to accurately reflect their daily transactions as income information, a process that involves considerable effort. Transparency is also essential for checking the status and progress of refunds after filing. 【0788】 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. 【0789】 In this invention, the server includes means for acquiring and maintaining up-to-date legal data from multiple data sources, means for collecting income information and financial investment information from users via remote devices, and means for automatically acquiring electronic transaction information and utilizing it as income information. This enables the automation of efficient and accurate income tax filing and the management of its progress. 【0790】 A "data source" refers to a variety of information providers from which information is obtained, and it plays a role in collecting the latest legal data and electronic transaction information. 【0791】 A "remote device" is a device used to input and receive data via the internet, and functions as a means of collecting income information and financial investment information from users. 【0792】 A "legal data bank" refers to a database that stores the latest tax and legal information and provides this information as needed. 【0793】 "Means of evaluating preferential tax treatment" refers to methods or mechanisms for analyzing applicable tax incentives by comparing collected information with information in a legal database. 【0794】 "Tax return documents" refer to official documents that contain information regarding income tax and are prepared for submission to the tax authorities. 【0795】 "Means of online submission" means a method or technology for automatically transmitting generated tax returns to the tax authority's system via the internet. 【0796】 "Electronic transaction information" refers to transaction history data from transactions conducted through electronic payments, which is automatically acquired for use as user income information. 【0797】 In this invention, the server acquires the latest legal data from multiple data sources and stores it in a database. The server also automatically acquires the user's transaction history from the electronic payment platform and uses this information as the user's income information. 【0798】 The device collects income and financial investment information directly from the user via a user interface built with React Native. This allows users to visually confirm that most of their income information has already been automatically collected, enabling them to quickly input only the additional information they need. 【0799】 The server uses Python to cross-reference collected data with a legal database and performs tax treatment analysis using TensorFlow. Based on the analysis results, it automatically generates optimal tax return documents and submits them online to the tax authorities via the internet. 【0800】 Users can preview the generated tax return documents through their device and make corrections as needed. This entire process allows users to file their income tax returns very efficiently and complete accurate tax processing even without specialized knowledge. 【0801】 For example, if a user conducts sales activities through an online shop over the course of a year, their sales revenue is automatically collected as electronic transaction information, and the user only needs to manually enter information about additional expenses, thus automating almost the entire reporting process. 【0802】 An example of a prompt using a generated AI model would be: "The user's annual sales revenue is 2.5 million yen, and they spend 200,000 yen on office supplies as expenses. Please tell me the optimal income tax deduction considering applicable tax incentives." 【0803】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0804】 Step 1: 【0805】 The server retrieves legal data from multiple data sources. Specifically, it uses APIs from government agencies and related organizations to scrape or download legal information. It uses the URLs or API endpoints of the data sources as input and stores the retrieved legal data in a database as output. 【0806】 Step 2: 【0807】 The terminal collects income and financial investment information from the user. The user inputs information in a question-and-answer format through a user interface built with React Native. Inputs include user responses and transaction information, while output is the transmission of this data to the server, ready for analysis. 【0808】 Step 3: 【0809】 The server automatically retrieves the user's transaction history through the electronic payment platform's API. The user's authentication information and API key are used as input, and the transaction history data is stored in the server's database as output. 【0810】 Step 4: 【0811】 The server uses Python to compare collected user data with a legal database and analyze preferential tax treatment. TensorFlow is used for data analysis. This process takes user income information and legal data as input, and outputs the analysis results, determining the most suitable deductions and preferential treatments. 【0812】 Step 5: 【0813】 The server automatically generates tax return documents based on the analysis results and prepares them for online submission. The input is the result data from the analysis, and the output is a document in the tax return format, which is stored on the submission system. 【0814】 Step 6: 【0815】 The terminal displays a preview of the generated declaration to the user. The user can review it and make any necessary corrections. The input is the generated declaration, and the output is the final version of the declaration approved by the user. 【0816】 Step 7: 【0817】 The server submits tax returns to the tax authorities' online system and monitors the subsequent progress and refund status. The input consists of approved tax returns, and the output includes submission confirmation information and refund status notifications to the user. 【0818】 By utilizing a generative AI model, the server can improve its analysis accuracy and enhance the quality of suggestions provided to the user. The prompt provided to the user might be a specific question such as, "The user's annual sales revenue is 2.5 million yen, and they spend 200,000 yen on office supplies. Please tell me the optimal income tax deduction considering applicable tax incentives." 【0819】 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. 【0820】 This invention is an income tax return support system equipped with an emotion engine. The system not only handles a series of processes from managing legal data to automatically generating tax return documents and submitting them online, but also has the function of recognizing the user's emotions and providing appropriate interactions. 【0821】 Acquisition and management of legal data 【0822】 First, the server regularly collects legal data from multiple reliable sources and keeps the database up-to-date, enabling it to respond quickly to changes in tax laws. This allows for accurate analysis of income and investment information entered by users. 【0823】 Collection of user information 【0824】 The user enters the necessary income and investment information via a client terminal, following the guide displayed on the interface. To ensure a stress-free user input process, an emotion engine analyzes the user's facial expressions and tone of voice, determining their emotional state in real time. 【0825】 Utilizing the Emotion Engine 【0826】 The device adjusts the user interface's responses and displayed content based on data obtained from the emotion engine. For example, if it detects that the user is feeling confused or stressed, it provides more concise explanations or hints. 【0827】 Data analysis and preparation of tax return documents 【0828】 The server compares collected user data with a legal database and automatically analyzes applicable tax incentives. Based on this, it generates accurate tax return documents. An emotion engine monitors the user's emotions and adjusts notifications as needed. 【0829】 Review and correction of declaration documents 【0830】 The system provides an interface for users to review the generated declaration documents and correct errors or add additional information. The sentiment engine also assesses the user's state throughout this process, providing support to reduce frustration. 【0831】 Online submission and follow-up 【0832】 The final version of the tax return is sent via the server to the tax authority's online portal. The user is then notified of the submission status and refund progress in real time. The emotional engine dynamically adjusts how information is presented to ensure the user can complete the process with confidence. 【0833】 Specific example 【0834】 For example, if a user wants to report multiple income streams related to real estate and stocks, the system they use utilizes an emotion engine to instantly detect any anxieties or questions the user might have. It then supports a smooth program progression by providing additional explanations or more concise guides. As a result, users can complete their reporting without stress and in a more accurate manner. 【0835】 The following describes the processing flow. 【0836】 Step 1: 【0837】 The server retrieves the latest legal information from government and trusted legal databases. The server stores this data in an internal database and performs regular updates to ensure it remains up-to-date. 【0838】 Step 2: 【0839】 Users log in to the system via a client terminal and enter income information, such as earnings and investment details, according to the interface. During this process, an emotion engine reads the user's emotions in real time through their facial expressions and tone of voice. 【0840】 Step 3: 【0841】 If the emotion engine detects user stress or anxiety, the device will modify the interface. Specifically, it will make instructions easier to understand and display additional guides to help users comfortably input information. 【0842】 Step 4: 【0843】 The server analyzes the information received from the user and compares it with a legal database. This allows it to accurately determine which preferential tax treatments are applicable. Based on the analysis results, the server automatically generates the necessary tax return documents. 【0844】 Step 5: 【0845】 The terminal displays the generated declaration form to the user and prompts them to review its contents. The user reviews the declaration form to check for any errors or omissions. The emotion engine adjusts the interface as needed at this stage to reduce emotional burden. 【0846】 Step 6: 【0847】 Once the user has completed the verification and made any necessary corrections, the terminal finalizes the tax return and sends it to the server. The server then prepares the verified tax return for submission to the tax authority's online system. 【0848】 Step 7: 【0849】 The server formally submits the tax return online and confirms its acceptance. The server monitors the status of the tax return and the progress of the refund in real time after submission and stores this information within the system. 【0850】 Step 8: 【0851】 The device notifies the user that the submission is complete and informs them of the refund status and processing progress. The emotion engine changes the interface content as needed through communication during this process to enhance the user's sense of security. 【0852】 This continuous process allows users to file accurate tax returns while simultaneously minimizing emotional stress during the process. 【0853】 (Example 2) 【0854】 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". 【0855】 Traditional income tax filing systems have the drawback of failing to adequately address the stress and confusion experienced by users. In particular, delays in responding to inquiries regarding complex laws and tax regulations increase the risk of errors during filing. Furthermore, manual collection and analysis of income and investment information is prone to errors, resulting in a lack of efficiency in online applications. A system that overcomes these shortcomings and allows users to file their taxes accurately and with peace of mind is needed. 【0856】 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. 【0857】 In this invention, the server includes means for acquiring and maintaining up-to-date normative data from multiple information sources; means for collecting income and investment information from the user through a user device; means for analyzing preferential tax treatment by comparing the collected information with a normative database; and means for evaluating the user's emotional state using an emotion recognition engine and dynamically adjusting the user interface. This enables quick and accurate income tax filing while reducing the emotional burden on the user. 【0858】 "Information sources" refer to multiple trusted data providers that the system uses to collect normative data. 【0859】 "Normative data" refers to a dataset containing up-to-date information on laws and tax regulations necessary for filing income tax returns. 【0860】 "Device used" refers to a client device that a user uses to input income and investment information through an interface. 【0861】 "User" refers to the individual person who uses the income tax filing system. 【0862】 "Income information" refers to detailed data regarding the user's annual income. 【0863】 "Investment information" refers to detailed investment data held by the user. 【0864】 "Preferential tax treatment" refers to legal measures that provide tax reductions or deductions applicable to employers. 【0865】 An "emotion recognition engine" refers to technology that analyzes a user's facial expressions and voice to determine their emotional state in real time. 【0866】 "User interface" refers to the screen display and operating environment that a system uses to interact with and exchange information with its user. 【0867】 This system demonstrates a specific form of implementing income tax return support technology that incorporates an emotion recognition engine. The system's implementation is described below. 【0868】 First, the server periodically retrieves normative data from multiple reliable sources using APIs or similar methods. This information includes the latest laws and tax regulations and is stored in a database system (e.g., a general database management system). The server maintains the accuracy of the data by performing periodic synchronization. 【0869】 Next, the user accesses the interface via an internet browser or mobile app through their device. This interface is built on an HTML framework, and the user inputs their income and investment information. The interface design is carefully crafted to be user-friendly and intuitive. 【0870】 The device is equipped with an emotion recognition engine and acquires audio and visual data through the camera and microphone when the user inputs information. This data is analyzed in real time using an emotion analysis library (e.g., an open-source analysis library), and the resulting emotion data is used to dynamically adjust the user interface's responses. 【0871】 Next, the server receives the data entered by the user, compares it with the acquired normative database, and automatically analyzes the most suitable preferential tax treatment. The analysis is performed by a program such as a Python script, and a report document compliant with the regulations is generated. A PDF generation library is used for generation, and the report document is output appropriately according to the prescribed format. 【0872】 Finally, the user can review the final report and make corrections if necessary. The device continues to provide appropriate support based on sentiment recognition throughout this process. The final version of the report is then sent to the tax authority's online portal via a secure communication protocol through the server, and the user is notified of the progress in real time. 【0873】 For example, when filing tax returns for real estate and stock income, the system's strong emotion recognition capabilities help reduce user anxiety and facilitate a smooth filing process. 【0874】 Example of a prompt: 【0875】 "Please explain how to use an income tax filing support system equipped with an emotion engine to suggest the most suitable tax incentives based on the income information entered by the user, thereby providing stress-reducing support." 【0876】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0877】 Step 1: 【0878】 The server collects legal data. The server retrieves normative data from multiple sources using APIs and stores it in a database. As input, it receives response data from API endpoints and converts the data format as needed. As output, the formatted legal data is stored in the database. Specifically, scheduled jobs run periodically to check for newness and updates to the data. 【0879】 Step 2: 【0880】 The user inputs income and investment information. The user enters the necessary information through the interface, and the system receives this input. As input, the system retrieves numerical and textual information provided by the user and validates that data. As output, the validated user data is stored in temporary storage. In terms of specific operation, guide messages on the interface support the user and encourage error-free input. 【0881】 Step 3: 【0882】 The device activates its emotion recognition engine to acquire the user's emotional state. The device captures the user's voice and visual data and performs emotion recognition in real time. As input, it analyzes data streams obtained from the camera and microphone to extract various emotional parameters. As output, data indicating the user's emotional state is generated and used for dynamic adjustment of the interface. Specifically, if anxiety or impatience is detected, a message encouraging relaxation is displayed. 【0883】 Step 4: 【0884】 The server performs data analysis and generates reports. Using the collected user data, the server automatically analyzes tax incentives by cross-referencing it with a legal database. As input, it processes a dataset combining user information and normative data, and performs the necessary calculations. As output, a report document that meets the criteria is generated in PDF format. Specifically, tax-saving suggestions based on the calculation results are reflected in the document. 【0885】 Step 5: 【0886】 Users review the report document and make corrections as needed. Users view the electronically generated report document and verify the accuracy of the information. Input includes receiving user feedback and correction instructions, and updating the document accordingly. Output is a final version of the report document reflecting the corrections. Specifically, a user-friendly editing tool is provided, making corrections easy. 【0887】 Step 6: 【0888】 The server submits the report to the tax authorities and monitors its progress. The server transmits the finalized report via a secure communication channel and tracks its submission status. Inputs include confirmation from users who have approved the final version of the document and the status of the online system. Outputs include recording submission confirmations and progress, and notifying the user. Specifically, email notifications or in-app notifications are provided to the user to enhance their sense of security. 【0889】 (Application Example 2) 【0890】 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". 【0891】 Modern consumers often experience stress due to increasingly complex tax systems and daily financial management. In particular, during income tax filing season, many users feel anxious about adapting to changes in tax laws while preparing tax returns that accurately reflect their financial situation. Therefore, recognizing these emotional shifts and providing appropriate feedback is crucial to reducing user stress and supporting better purchasing decisions. 【0892】 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. 【0893】 This invention includes a server that acquires rule data from multiple sources and maintains it up-to-date, a server that acquires income data and asset information from users through client terminals, and a server that analyzes tax benefits based on the collected data by comparing it with a rule database. This makes it possible to analyze the user's emotional state in real time and provide feedback according to that state. This is expected to streamline the tax filing and expenditure management process and improve the quality of user decision-making. 【0894】 A "source of information" is a system or method that can collect data from multiple reliable sources. 【0895】 "Regulatory data" refers to data collected and updated to keep tax and financial laws and regulations current. 【0896】 "Income data" refers to financial information necessary to accurately understand the income situation of users. 【0897】 "Asset information" refers to detailed data about the assets owned by the user. 【0898】 A "rule database" is a database system that systematically stores rule data and makes it searchable. 【0899】 "Tax incentives" refer to tax benefits that are applied under tax law when certain conditions are met. 【0900】 A "tax return" is an official document generated to reflect a user's income and asset information for submission to the tax authorities. 【0901】 "Means of online submission" refers to technologies or methods that enable the electronic submission of documents through public institution portals or similar means. 【0902】 An "emotion processing system" is a system that analyzes a user's facial expressions and tone of voice to determine their emotional state. 【0903】 "Feedback" refers to information that supports behavior through responses and advice provided based on the user's emotional state. 【0904】 "Purchase advice" refers to specific suggestions and information provided to support users' purchasing behavior. 【0905】 The system implementing this invention aims to enable users to file income tax returns and manage daily expenses efficiently and with minimal stress. 【0906】 The server regularly retrieves rule data from multiple reliable sources to keep it up-to-date. This data is stored in a rule database and cross-referenced with income and asset information collected from users. The analyzed data automatically identifies tax benefits and generates the corresponding tax return. The generated tax return is submitted electronically to the tax authorities via an online portal. 【0907】 The device is equipped with an emotion processing system that analyzes the user's facial expressions and tone of voice in real time. This allows it to provide feedback tailored to the user's emotions. This feedback includes concise guides to reduce stress and purchasing advice when buying products. For example, if the user is hesitant when considering purchasing an expensive item, the device might advise, "Do you really need this product? Check out our coupons." 【0908】 Users input income and asset information through a client terminal, and this information is processed by the server. Furthermore, the user's emotional state is analyzed, and the interface is adjusted and feedback is provided based on the results. 【0909】 As a concrete example, here is an example of a prompt statement for a generative AI model: 【0910】 "Based on the analysis of user emotions, please consider how to advise users who feel hesitant when purchasing a product, and develop suggestions to make their purchase more meaningful." 【0911】 This enables adaptive information provision based on user emotions, allowing users to proceed with transactions with peace of mind. 【0912】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0913】 Step 1: 【0914】 The server periodically retrieves rule data from multiple sources to keep it up-to-date. This input process uses APIs and data feeds to collect data from trusted sources and store it in the rule database. The output is the updated rule database. 【0915】 Step 2: 【0916】 Users input income and asset information through a client terminal. The terminal interface displays input forms and prompts users to provide the required information accurately. The input data is sent to the server, and organized income and asset information is returned as output. 【0917】 Step 3: 【0918】 The server uses collected income and asset information to analyze tax benefits against a rules database. It performs calculations to identify applicable tax benefits. The generated analysis data is used as input for generating tax returns, and the output is data that reflects the tax benefits. 【0919】 Step 4: 【0920】 The server automatically generates a tax return based on the analyzed data. This process involves using templates to populate the data and create a tax return in the appropriate format. The output is a draft of the tax return. 【0921】 Step 5: 【0922】 The user reviews and modifies the generated declaration using the terminal interface. An emotion analysis engine assesses the user's emotional state and provides brief explanations and hints if confusion or stress is detected. The input is user feedback, and the output is the final declaration document. 【0923】 Step 6: 【0924】 The server transmits the finalized tax return online to the tax authorities. Appropriate security protocols and authentication methods are used to ensure the data is transmitted securely. The output is a confirmation notification that the transmission is complete. 【0925】 Step 7: 【0926】 The device analyzes the user's emotional state in real time and provides emotion-based advice at the time of purchase. It sends prompt messages to a generative AI model and receives meaningful suggestions tailored to the user's emotions. The input is user emotion data, and the output is emotion-based feedback and purchase advice. 【0927】 Step 8: 【0928】 Users adjust their purchasing behavior based on the feedback provided, allowing them to manage their spending with confidence. The device uses existing search and sentiment data to refine the feedback for the next interaction. The output is experiential data for better purchasing choices. 【0929】 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. 【0930】 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. 【0931】 In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0932】 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. 【0933】 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. 【0934】 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. 【0935】 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. 【0936】 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. 【0937】 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." 【0938】 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. 【0939】 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. 【0940】 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. 【0941】 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. 【0942】 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. 【0943】 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. 【0944】 The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory. 【0945】 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. 【0946】 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. 【0947】 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. 【0948】 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. 【0949】 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. 【0950】 The following is further disclosed regarding the embodiments described above. 【0951】 (Claim 1) 【0952】 Means for obtaining legal data from multiple sources and maintaining it in an up-to-date state, 【0953】 A means of collecting income information and investment information from users through client terminals, 【0954】 Based on the collected information, a means of analyzing preferential tax treatment by comparing it with a legal database, 【0955】 A means of automatically generating declaration documents based on the analysis results, 【0956】 A means of submitting the generated declaration documents online, 【0957】 A system that includes this. 【0958】 (Claim 2) 【0959】 The system according to claim 1, further comprising means for providing a user with an interface to confirm and correct the declared information. 【0960】 (Claim 3) 【0961】 The system according to claim 1, comprising means for monitoring the status and progress of refunds after the submission of declaration documents and notifying the user. 【0962】 "Example 1" 【0963】 (Claim 1) 【0964】 A means of obtaining rule data from multiple sources and maintaining it in an up-to-date state, 【0965】 A means for collecting income information and investment information from users through a user device, 【0966】 Based on the collected information, a means of analyzing preferential tax systems by comparing them with a rules database, 【0967】 A means of automatically generating tax return documents based on analysis results using a generative AI model, 【0968】 A means of submitting the generated tax return documents online, 【0969】 A system that includes this. 【0970】 (Claim 2) 【0971】 The system according to claim 1, further comprising means for providing a user with an information input / output device for confirming and correcting declared information. 【0972】 (Claim 3) 【0973】 The system according to claim 1, comprising means for monitoring the status and refund progress of tax return documents after their submission and providing information to the user. 【0974】 "Application Example 1" 【0975】 (Claim 1) 【0976】 A means of obtaining legal data from multiple data sources and maintaining it in an up-to-date state, 【0977】 A means of collecting income information and financial investment information from users via a remote device, 【0978】 Based on the collected information, a means of evaluating preferential tax treatment by comparing it with a legal database, 【0979】 A means of automatically generating tax return documents based on the evaluation results, 【0980】 A means of submitting the generated declaration documents online, 【0981】 A means of automatically acquiring electronic transaction information and using it as income information, 【0982】 A system that includes this. 【0983】 (Claim 2) 【0984】 The system according to claim 1, comprising means for providing users with interactions for confirming and correcting declared information. 【0985】 (Claim 3) 【0986】 The system according to claim 1, comprising means for monitoring the processing status and refund progress after the submission of declaration documents and notifying the user. 【0987】 "Example 2 of combining an emotion engine" 【0988】 (Claim 1) 【0989】 Means for obtaining normative data from multiple sources and maintaining it up-to-date, 【0990】 A means for collecting income information and investment information from users through a device, 【0991】 Based on the collected information, a means of analyzing preferential tax treatment by comparing it with a normative database, 【0992】 A means for automatically generating a report document based on the analysis results, 【0993】 A means of sending the generated report document online, 【0994】 A means for evaluating the user's emotional state using an emotion recognition engine and dynamically adjusting the user interface, 【0995】 A system that includes this. 【0996】 (Claim 2) 【0997】 The system according to claim 1, further comprising means for providing the user with an interface to review and correct the reported content. 【0998】 (Claim 3) 【0999】 The system according to claim 1, comprising means for monitoring the status and progress of refunds after the submission of a report document and notifying the user. 【1000】 "Application example 2 when combining with an emotional engine" 【1001】 (Claim 1) 【1002】 A means of obtaining rule data from multiple sources and maintaining it in an up-to-date state, 【1003】 A means of collecting income data and asset information from users through client terminals, 【1004】 A means of analyzing tax incentives by comparing the collected data with a rules database, 【1005】 A means of automatically generating a tax return based on the analysis results, 【1006】 A means of submitting the generated tax return online, 【1007】 An emotion processing system that recognizes the user's emotional state and provides feedback accordingly, 【1008】 A means of evaluating spending behavior based on user sentiment data and providing necessary purchasing advice, 【1009】 A system that includes this. 【1010】 (Claim 2) 【1011】 The system according to claim 1, comprising an interface for users to review and correct their declarations, and means for providing purchase advice tailored to the user's emotions. 【1012】 (Claim 3) 【1013】 The system according to claim 1, comprising means for monitoring the status and progress of refunds after the submission of declaration documents and for providing users with emotionally-based adaptive information. [Explanation of symbols] 【1014】 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] Means for obtaining legal data from multiple sources and maintaining it in an up-to-date state, A means of collecting income information and investment information from users through client terminals, Based on the collected information, a means of analyzing preferential tax treatment by comparing it with a legal database, A means of automatically generating declaration documents based on the analysis results, A means of submitting the generated declaration documents online, A system that includes this. [Claim 2] The system according to claim 1, further comprising means for providing a user with an interface to confirm and correct the declared information. [Claim 3] The system according to claim 1, comprising means for monitoring the status and progress of refunds after the submission of declaration documents and notifying the user.

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