System

Abstract

A system is provided.SOLUTION: A system comprising: means for generating a profile including demographic, psychographic, and geographic information of a user; means for recommending a donation destination based on the generated profile information; means for displaying detailed information of the recommended donation destination; means for executing payment of a donation to a donation destination selected by the user; and means for generating and providing a donation Tax forms and a tax receipt to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Individuals and companies wishing to donate have difficulty finding an appropriate recipient, are overwhelmed by the sheer number of options, or hesitate to donate because the recipient's reputation is unclear. In addition, given the current situation in which local governments and companies are seeking a smooth way to donate, a system is needed that reflects the donor's intentions and interests and allows them to select a reliable recipient with peace of mind. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system including: means for generating a profile including a user's demographic, psychographic, and geographic information; means for recommending donation destinations based on the generated profile information; means for displaying detailed information about the recommended donation destinations; means for executing donation settlement to the donation destination selected by the user; and means for generating and providing donation receipts and tax return documents to the user. The present invention also provides a system including means for identifying appropriate donation destinations using a pattern matching algorithm based on the user's profile information; means for providing detailed information about the donation destinations, such as their founding history, vision, financial information, and reviews from other donors; a social networking and community function for promoting dialogue between donors and with donation organizations; means for providing ratings of donation destinations and displaying their performance; means for executing donation settlement through an external payment platform; and means for providing accessibility that can be used by users regardless of their IT literacy level.

[0006] "User" refers to an individual or company that intends to make a donation using the system.

[0007] "Demographic information" refers to socioeconomic information such as a user's age, gender, annual income, and occupation.

[0008] "Psychographic information" refers to psychological or behavioral information about a user, such as their hobbies, interests, values, and lifestyle.

[0009] "Geographic information" refers to geographic information about a user's place of residence or area of ​​activity.

[0010] "Profile" refers to a user's individual set of information, including the user's demographic, psychographic, and geographic information.

[0011] "Donation Recipient" refers to the organization or project selected by the User for the purpose of making a donation.

[0012] "Recommendation" refers to the act of the system selecting and presenting appropriate donation destinations based on the user's profile information.

[0013] "Detailed information" refers to information about the recipient, such as its founding history, vision, financial information, ratings, and reviews from other donors.

[0014] "Payment" refers to the procedure for making a donation online to a donation recipient selected by the user.

[0015] "Receipt" means a document certifying receipt of a donation.

[0016] "Tax Forms" means the documents required for you to receive tax deductions for your Donations.

[0017] A "pattern matching algorithm" refers to a calculation method for comparing a user's profile information with donation destination information to select the most suitable donation destination.

[0018] "External payment platform" refers to an external service that provides online payment methods such as credit cards and electronic money.

[0019] "SNS / Community Function" refers to the function of a social networking service that allows users to interact with donors and donation organizations.

[0020] "Rating" refers to a means of evaluating and ranking the performance and reliability of donation recipients.

[0021] "Accessibility" refers to the ease of use that allows anyone to use a system, regardless of their level of IT literacy. [Brief explanation of the drawings]

[0022] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0023] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0024] First, the terms used in the following description will be explained.

[0025] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0026] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0027] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0028] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0029] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0030] [First embodiment]

[0031] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0032] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0033] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0034] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0035] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0036] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0037] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0038] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0039] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0040] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0041] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0042] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0043] The present invention provides a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. This system is implemented through the following steps.

[0044] 1. User registration and profile creation

[0045] User:

[0046] Users access the system and first create an account. They can easily create an account using their email address and password. At this stage, users enter basic profile information (name, annual income, hobbies, areas of interest, desired donation amount, etc.).

[0047] server:

[0048] The entered information is saved on the server and registered in a database as the user's profile.

[0049] 2. Recommendations for donation destinations

[0050] server:

[0051] Based on the profile information, a pattern matching algorithm is used to recommend suitable donation destinations to the user. The algorithm considers the user's demographic, psychographic, and geographic information to extract the most suitable donation destinations from a database of donation destinations.

[0052] Device:

[0053] The user is presented with a list of recommended donation recipients, with detailed information about each one, including its history, vision, financial information, ratings, and reviews from other donors.

[0054] 3. Evaluation and confirmation of donation recipients

[0055] User:

[0056] Users can view the list of recipients provided by the system and check detailed information about each recipient, including their history, vision, financial information, and reviews from other donors, to select the most trustworthy recipient.

[0057] 4. Making donations

[0058] User:

[0059] Once the user has decided on the donation recipient, they enter the amount they wish to donate and payment information such as credit card information.

[0060] server:

[0061] The payment information is sent to an external payment platform to process the donation. Once the payment is complete, a donation receipt is generated and sent to the user's email address.

[0062] Device:

[0063] A confirmation message will be displayed with a link to download your receipt.

[0064] 5. Tax return assistance

[0065] server:

[0066] The system retrieves the user's donation history from a database and automatically generates tax return documents.

[0067] server:

[0068] The generated documents are sent to the user's email address so that they can be used when filing their tax return.

[0069] Specific examples

[0070] User A accessed the system and created an account. A expressed a deep interest in "environmental protection," set an annual income of 10 million yen, and set a desired annual donation amount of 200,000 yen. Based on A's profile information, the server recommended several donation destinations (e.g., environmental protection organizations A, B, and C). After checking the detailed information of each organization, A decided to donate to environmental protection organization B and donated 100,000 yen. The server processed the payment, generated a receipt, and sent it to A. It also automatically generated tax return documents and sent them to A's email address.

[0071] In this way, this system is designed to allow users to easily choose the donation recipient that best suits them and carry out donation activities smoothly. It also ensures transparency of donation recipients, providing an environment where users can donate with peace of mind.

[0072] The processing flow will be explained below.

[0073] Program processing flow

[0074] 1. User registration and profile creation

[0075] Step 1:

[0076] User: Visits the system's website or app and clicks the "Create Account" button.

[0077] Step 2:

[0078] Device: Display the account creation form.

[0079] Step 3:

[0080] User: Enter your name, email address and password and click the "Register" button.

[0081] Step 4:

[0082] Terminal: Check the information you entered for omissions or errors.

[0083] Step 5:

[0084] Server: Stores the registration information in a database and sends a confirmation email to the user.

[0085] Step 6:

[0086] Users: Click the verification link they received in their email and log in again.

[0087] Step 7:

[0088] Device: Display a form to enter profile information.

[0089] Step 8:

[0090] User: Enter profile information such as annual income, hobbies, areas of interest, desired donation amount, etc., and click the "Save" button.

[0091] Step 9:

[0092] Terminal: Check the information you entered for omissions or errors.

[0093] Step 10:

[0094] Server: Stores profile information in a database.

[0095] 2. Recommendations for donation destinations

[0096] Step 1:

[0097] Server: Retrieves the logged-in user's profile information from the database.

[0098] Step 2:

[0099] Server: Searches for donation recipients based on profile information using a pattern matching algorithm.

[0100] Step 3:

[0101] Server: Compares the profile information against a database of donors and generates a list of matching donors.

[0102] Step 4:

[0103] Server: Collects details about the donor, including their history, vision, financials, ratings, and reviews from other donors.

[0104] Step 5:

[0105] Device: Transforms the recommendation results into HTML or app view format to present to the user.

[0106] Step 6:

[0107] Device: Display the recommendation results to the user.

[0108] 3. Evaluation and confirmation of donation recipients

[0109] Step 1:

[0110] User: Check the recommendation results sent from the server.

[0111] Step 2:

[0112] On your device: View detailed information for each donation recipient.

[0113] Step 3:

[0114] Users: View information about each recipient, including its history, vision, financials, and donor reviews.

[0115] Step 4:

[0116] User: Decide where to donate and click the "Donate" button.

[0117] 4. Making donations

[0118] Step 1:

[0119] Device: Display the donation amount input screen.

[0120] Step 2:

[0121] User: Enter the amount you would like to donate and click the "Next" button.

[0122] Step 3:

[0123] Terminal: Display the payment information input screen.

[0124] Step 4:

[0125] User: Enters credit card information and clicks the "Make Donation" button.

[0126] Step 5:

[0127] Server: Sends payment information to an external payment platform.

[0128] Step 6:

[0129] Server: Receives confirmation of payment completion and confirms receipt of donation.

[0130] Step 7:

[0131] Server: Generates donation receipts and emails them to users.

[0132] Step 8:

[0133] On your device: A confirmation message will appear confirming your donation, along with a link to download your receipt.

[0134] 5. Tax return assistance

[0135] Step 1:

[0136] Server: Retrieve the user's donation history from the database.

[0137] Step 2:

[0138] Server: Automatically generate tax return documents based on donation history.

[0139] Step 3:

[0140] Server: Sends the generated document to the user's email address.

[0141] Step 4:

[0142] User: Download the documents received by email and use them when filing your tax return.

[0143] Example 1

[0144] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0145] The present invention relates to a system that allows donors to quickly and easily select the most suitable donation recipient from multiple recipients, enabling smooth donation activities. It also aims to ensure the transparency of donations and provide an environment in which users can donate with peace of mind. To achieve this, it is necessary to recommend the most suitable donation recipient based on the user's profile information, provide detailed information about the donation recipient, and automate donation settlement and the generation of receipts and tax return documents.

[0146] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0147] In this invention, the server includes means for generating a profile including demographic information, psychographic information, and geographic information of the user, means for recommending donation destinations based on the generated profile information, means for displaying detailed information about the recommended donation destinations, means for executing donation settlement to the donation destination selected by the user, means for generating and providing a donation receipt and tax return documents to the user, and means for displaying a download link for the receipt after the donation. This allows users to easily select the donation destination that best suits them and make donations quickly in a manner that ensures transparency.

[0148] "Demographic information" is information that indicates statistical characteristics of a user, such as age, sex, occupation, and income.

[0149] "Psychographic information" is information that indicates psychological characteristics such as a user's hobbies, interests, and lifestyle.

[0150] "Geographic information" is information about the area or location where the user lives.

[0151] A "profile" is a collection of information that includes a user's personal attributes and interests.

[0152] A "pattern matching algorithm" is a computational method for analyzing a user's profile information and identifying appropriate donation destinations.

[0153] A "donation recipient" is an organization or group to which a user makes a donation.

[0154] "Detailed information" refers to specific information such as the organization's founding history, vision, financial information, and reviews from other donors.

[0155] "Settlement" refers to the process of paying the money required when a user makes a donation.

[0156] A "receipt" is a document that proves that a donation has been made.

[0157] "Tax Forms" means documents necessary for a User to claim tax deductions based on a Donation.

[0158] A "download link" is a URL that allows a user to obtain a document such as a receipt via the Internet.

[0159] MODE FOR CARRYING OUT THE INVENTION

[0160] The present invention relates to a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. Specific embodiments of the invention are described below.

[0161] Hardware and Software Use

[0162] The system uses the following hardware and software components:

[0163] Server: Has database management, algorithm execution, and email sending functions.

[0164] Terminal: The device that provides the user interface (PC, smartphone, tablet, etc.).

[0165] External payment platform: A system for processing credit card payments (e.g., Stripe, PayPal, etc.).

[0166] User registration and profile creation

[0167] A user accesses the system and clicks the Create Account button. The user enters an email address and password and presses the Register button. The server receives the entered information and creates a new user account in the database. After registration is complete, the server sends a confirmation email to the user.

[0168] Next, the user logs in and enters profile information such as name, annual income, hobbies, areas of interest, desired donation amount, etc. The server stores this information in a database, completing the user's profile.

[0169] Recommendations for donation destinations

[0170] The server then runs a pattern matching algorithm based on the stored user profile information to recommend the most suitable donation recipients. The algorithm considers the user's demographic, psychographic, and geographic information to extract suitable donation recipients from a donation recipient database.

[0171] The device displays a list of recommended recipients to the user, including details such as the recipient's history, vision, financial information, and reviews from other donors.

[0172] Donation recipient evaluation and confirmation

[0173] Users can view the list of recipients and click to view detailed information about each recipient, including their history, vision, financial information, and reviews from other donors.

[0174] Making donations

[0175] The user enters the donation amount and payment information such as credit card information. The server sends this payment information to an external payment platform and executes the donation payment. Once the payment is completed, the server generates a donation receipt and sends it to the user's email address.

[0176] The device will display a confirmation message that your donation has been completed, along with a link to download your receipt.

[0177] Tax return support

[0178] The server retrieves the user's donation history from the database and automatically generates tax return documents, which are then sent to the user's email address and used for filing their tax return.

[0179] Specific examples

[0180] User A accessed the system and created an account. A expressed a deep interest in "environmental protection," set an annual income of 10 million yen, and set a desired annual donation amount of 200,000 yen. Based on A's profile information, the server recommended several donation destinations (e.g., environmental protection organizations A, B, and C). After checking the detailed information of each organization, A decided to donate to environmental protection organization B and donated 100,000 yen. The server executed the payment through an external payment platform, generated a receipt, and sent it to A. Furthermore, the server generated tax return documents based on A's donation history and sent them to A's email address.

[0181] Prompt Sentence Examples

[0182] "Please explain the system that allows donors to easily select the appropriate donation recipient and smoothly carry out donation activities. Please include each step of the process: user registration, donation recipient recommendation, donation recipient evaluation and confirmation, donation execution, and tax return assistance."

[0183] This system is designed to allow users to easily choose the donation recipient that best suits them and carry out donation activities smoothly. It also ensures transparency of donation recipients, providing an environment where users can donate with peace of mind.

[0184] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0185] Step 1: User Registration

[0186] A user accesses the system and clicks the Create Account button. Next, they enter their email address and password and press the Register button. The server takes this as input and creates a new user account in the database. It sends a confirmation email based on the created account information. The terminal displays a message indicating that registration is complete.

[0187] Input: User's email address, password

[0188] Output: Account information stored in database, confirmation email sent

[0189] Step 2: Enter your profile information

[0190] The user logs in and enters their profile information such as name, annual income, hobbies, areas of interest, desired donation amount, etc. The server accepts this as input and stores it in a database. The device displays a message confirming that the profile information has been saved correctly.

[0191] Input: User's name, annual income, hobbies, areas of interest, desired donation amount

[0192] Output: Profile information stored in a database

[0193] Step 3: Recommend donation destinations

[0194] The server runs a pattern matching algorithm based on the stored profile information. This algorithm analyzes the user's demographic, psychographic, and geographic information to recommend appropriate donation recipients. Based on the analysis results, a donation list is generated and sent to the device.

[0195] Input: Profile information stored in the database

[0196] Output: A list of recommended donations

[0197] Step 4: View the donation list

[0198] The terminal receives the list of recommended recipients and displays it on the user interface. The list also includes detailed information about each recipient, such as their founding history, vision, financial information, and reviews from other donors. The user can view the list of recipients and their detailed information.

[0199] Input: Recommended Donation List

[0200] Output: A list of donation recipients and their details displayed in a user interface

[0201] Step 5: Select the donation recipient and enter the donation amount

[0202] The user selects the organization to which they wish to donate from the list of recipients and inputs the amount they wish to donate. The terminal receives this input and sends it to the server.

[0203] Input: User's chosen donation destination and donation amount

[0204] Output: Send the donation recipient and donation amount to the server

[0205] Step 6: Enter and submit payment information

[0206] The user enters payment information, such as credit card information. The server receives this information and sends it to an external payment platform to complete the payment. Once the payment is complete, the server generates a receipt and emails it to the user.

[0207] Input: User's credit card information, donation amount

[0208] Output: Sending payment information to an external payment platform, generating and emailing a receipt

[0209] Step 7: Confirm your donation and receive a link to download your receipt

[0210] The server confirms that the donation has been completed and notifies the device, which then displays a confirmation message and a link to download the receipt.

[0211] Input: Donation completion notification from the server

[0212] Output: Donation confirmation message, receipt download link

[0213] Step 8: Generate and submit tax forms

[0214] The server retrieves the user's donation history from the database, generates tax return documents, and sends the documents to the user's email address so that they can be used when filing their tax return.

[0215] Input: Donation history stored in database

[0216] Output: Generate and email tax return documents

[0217] (Application example 1)

[0218] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0219] The purpose of this invention is to provide a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. Conventional donation systems have limited information about donation recipients and complicated donation processes, making it difficult for users to make donations with peace of mind. In addition, the complicated procedures for filing tax returns after donations have placed a burden on users.

[0220] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0221] In this invention, the server includes means for generating a profile including demographic information, psychographic information, and geographic information of the user, means for recommending donation destinations based on the generated profile information, means for displaying detailed information about the recommended donation destinations, means for executing donation settlement to the donation destination selected by the user, means for generating donation receipts and tax return documents and providing them to the user, and means for automatically generating tax return documents based on the user's donation history. This not only enables donors to easily select appropriate donation destinations and make donations smoothly, but also simplifies tax return procedures.

[0222] "Demographic information" refers to demographic information such as a user's age, gender, income, and place of residence.

[0223] "Psychographic information" is information that represents a user's psychological and behavioral characteristics, such as hobbies, preferences, lifestyle, and values.

[0224] "Geographic information" is geographic information related to a user's place of residence or location.

[0225] A "profile" is information that represents an individual's characteristics and is generated by integrating a user's demographic information, psychographic information, and geographic information.

[0226] "Donation recipient" refers to the group or organization to which the user makes a donation.

[0227] "Recommendation" refers to selecting and suggesting the most suitable donation destination based on the user's profile information.

[0228] "Detailed information" includes information such as the organization's founding history, vision, financial information, and reviews from other donors.

[0229] "Settlement" refers to the series of processes for paying donations to the donation recipient selected by the user.

[0230] A "receipt" is a receipt issued when a user makes a donation.

[0231] "Tax Return Forms" means documents required to claim tax deductions based on donations.

[0232] A "generative AI model" is an artificial intelligence model for generating donation recommendation prompts.

[0233] A "prompt" is a sentence created by a generative AI model to encourage users to donate.

[0234] The system of the present invention allows donors to select appropriate donation recipients and smoothly carry out donation activities. This system is based on the following steps: user registration, profile creation, donation recipient recommendations, donation recipient evaluation and confirmation, donation execution, and tax return support.

[0235] First, the server provides a means to generate a profile containing the user's demographic, psychographic, and geographic information. When a user accesses the system and enters their basic information (such as name, annual income, hobbies, areas of interest, and desired donation amount), the information is sent to the server and stored in a database.

[0236] Next, the server uses a pattern matching algorithm and generative AI model to identify and recommend suitable donation recipients based on the generated profile information. The server also provides a means to display detailed information about the recommended donation recipients (such as their founding history, vision, financial information, and reviews from other donors).

[0237] Users can view a list of donation recipients provided by the system, review and rate the details of each recipient, and select the most trustworthy one. After making a selection, users enter the amount they wish to donate and payment information such as credit card information. The server sends the payment information to an external payment platform (e.g., Stripe) and completes the donation payment. Once the payment is complete, a donation receipt is generated and sent to the user's email address and device.

[0238] In addition, the server provides a means for automatically generating tax return documents based on the user's donation history. The generated documents are sent to the user's email address and can be used for filing tax returns.

[0239] As an example of this system, use the following prompt:

[0240] "Users can choose a donation destination, make a donation to a specific environmental organization, and easily receive a receipt along with tax return documents."

[0241] This invention not only allows donors to select the appropriate recipient and make their donation smoothly, but also simplifies the procedures for filing tax returns. By using this system, users can make donations with peace of mind and efficiently complete subsequent procedures.

[0242] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0243] Step 1:

[0244] A user accesses the system and registers an account. They enter information such as their name, annual income, hobbies, areas of interest, and the amount they wish to donate. The entered information is sent from the device to the server and stored in a database on the server. The input data is in text format, and the server converts it into structured data and stores it as profile information.

[0245] Step 2:

[0246] The server uses a pattern matching algorithm based on the user's profile information to identify and recommend suitable donation recipients. The algorithm considers the user's demographic, psychographic, and geographic information to select the most suitable donation recipients from a database of donation recipients. This list of selected donation recipients is generated as a recommendation result and sent to the device.

[0247] Step 3:

[0248] The user checks the list of donation recipients provided by the server through their device. Detailed information about each recipient (history of establishment, vision, financial information, reviews from other donors, etc.) is displayed. Based on the displayed information, the user selects a donation recipient. The selected information is then sent from the device to the server.

[0249] Step 4:

[0250] The server processes the payment of the donation to the recipient selected by the user. The donation amount and credit card information entered by the user are sent to the server, which then sends it to an external payment platform (e.g., Stripe). If the payment is successful, the server receives a notification of payment completion and stores the donation information in a database. Payment information is handled in encrypted form.

[0251] Step 5:

[0252] The server automatically generates a donation receipt and tax return documents. Based on the donation information, the documents are generated in the appropriate format and sent to the user's email address. This document generation process uses a generative AI model, which also generates a prompt. The generated prompt notifies the user that the donation has been completed and includes instructions on next steps.

[0253] Step 6:

[0254] The user can review the documents and download the receipt and tax return documents. The downloaded documents are provided in PDF format and can be used immediately for tax returns. Specifically, the user is prompted to "select a donation recipient, make a donation to a specific environmental protection organization, and easily receive tax return documents along with a receipt."

[0255] This process allows users to smoothly make donations through the system and easily file tax returns.

[0256] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0257] This invention is a system designed to enable individuals and businesses to easily find donation recipients and smoothly carry out donation activities. Furthermore, by combining an emotion engine that recognizes the user's emotions, the system reflects the user's emotional state in the donation process, providing a more personalized donation experience. This system is implemented through the following steps:

[0258] 1. User registration and profile creation

[0259] User:

[0260] A user accesses the system and creates an account. This is easy, using an email address and password. At this stage, the user enters basic profile information (such as name, annual income, hobbies, areas of interest, and desired donation amount). The system also uses an emotion engine to recognize the user's emotional state and adds that information to their profile.

[0261] server:

[0262] The input information is saved on the server and registered in the database as a user profile, including emotional information recognized by the emotion engine.

[0263] 2. Recommendations for donation destinations

[0264] server:

[0265] Based on the profile information, a pattern-matching algorithm is used to recommend suitable donation destinations to the user, taking into account the user's demographic, psychographic, and geographic information, as well as emotional information recognized by an emotion engine.

[0266] Device:

[0267] The user is presented with a list of recommended donation recipients, with detailed information about each one, including its history, vision, financial information, ratings, and reviews from other donors.

[0268] 3. Evaluation and confirmation of donation recipients

[0269] User:

[0270] Users can view the list of recipients provided by the system and check detailed information about each recipient, including their history, vision, financial information, and reviews from other donors, to select the most trustworthy recipient.

[0271] 4. Making donations

[0272] User:

[0273] Once the user has decided on the donation recipient, they enter the amount they wish to donate and payment information such as credit card information.

[0274] server:

[0275] The payment information is sent to an external payment platform to process the donation. Once the payment is complete, a donation receipt is generated and sent to the user's email address.

[0276] Device:

[0277] A confirmation message will be displayed with a link to download your receipt.

[0278] 5. Tax return assistance

[0279] server:

[0280] The system retrieves the user's donation history from a database and automatically generates tax return documents.

[0281] server:

[0282] The generated documents are sent to the user's email address so that they can be used when filing their tax return.

[0283] Specific examples

[0284] For example, suppose user A accesses the system and creates an account. A has a deep interest in "environmental protection," sets his annual income at 10 million yen, and sets his desired donation amount at 200,000 yen per year. The emotion engine recognizes that A is in a state of "empathy" and "excitement." Based on A's profile information and emotion information, the server recommends multiple donation destinations (e.g., environmental protection organizations A, B, and C). After checking the details of each organization, A decides to donate 100,000 yen to environmental protection organization B. The server processes the payment and sends a receipt and a confirmation message to A. In addition, it automatically generates tax return documents and sends them to A's email address.

[0285] In this way, this system recommends optimal donation recipients based on a detailed profile of the user, including their emotional information, and supports smooth donation activities. It also ensures transparency in donation recipients, providing an environment where users can donate with peace of mind.

[0286] The processing flow will be explained below.

[0287] Program processing flow

[0288] 1. User registration and profile creation

[0289] Step 1:

[0290] User: Visits the system's website or app and clicks the "Create Account" button.

[0291] Step 2:

[0292] Device: Display the account creation form.

[0293] Step 3:

[0294] User: Enter your name, email address and password and click the "Register" button.

[0295] Step 4:

[0296] Terminal: Check the information you entered for omissions or errors.

[0297] Step 5:

[0298] Server: Stores the registration information in a database and sends a confirmation email to the user.

[0299] Step 6:

[0300] Users: Click the verification link they received in their email and log in again.

[0301] Step 7:

[0302] Device: Display a form to enter profile information.

[0303] Step 8:

[0304] User: Enter profile information such as annual income, hobbies, areas of interest, desired donation amount, etc., and click the "Save" button.

[0305] Step 9:

[0306] Device: Activate the user's webcam or microphone and start the emotion engine.

[0307] Step 10:

[0308] Emotion engine: Analyzes the user's facial expressions or voice to recognize their emotional state.

[0309] Step 11:

[0310] Server: Adds the recognized emotion information to a profile and stores it in a database.

[0311] 2. Recommendations for donation destinations

[0312] Step 1:

[0313] Server: Retrieves the logged-in user's profile information from the database.

[0314] Step 2:

[0315] Server: Searches for donation recipients using a pattern matching algorithm based on the user's profile information and sentiment information.

[0316] Step 3:

[0317] Server: Compares the profile information against a database of donors and generates a list of matching donors.

[0318] Step 4:

[0319] Server: Collects details about the donor, including their history, vision, financials, ratings, and reviews from other donors.

[0320] Step 5:

[0321] Device: Transforms the recommendation results into HTML or app view format to present to the user.

[0322] Step 6:

[0323] Device: Display the recommendation results to the user.

[0324] 3. Evaluation and confirmation of donation recipients

[0325] Step 1:

[0326] User: Check the recommendation results sent from the server.

[0327] Step 2:

[0328] On your device: View detailed information for each donation recipient.

[0329] Step 3:

[0330] Users: View information about each recipient, including its history, vision, financials, and donor reviews.

[0331] Step 4:

[0332] User: Decide where to donate and click the "Donate" button.

[0333] 4. Making donations

[0334] Step 1:

[0335] Device: Display the donation amount input screen.

[0336] Step 2:

[0337] User: Enter the amount you would like to donate and click the "Next" button.

[0338] Step 3:

[0339] Terminal: Display the payment information input screen.

[0340] Step 4:

[0341] User: Enters credit card information and clicks the "Make Donation" button.

[0342] Step 5:

[0343] Server: Sends payment information to an external payment platform.

[0344] Step 6:

[0345] Server: Checks whether the payment has been completed and confirms receipt of the donation.

[0346] Step 7:

[0347] Server: Generates donation receipts and emails them to users.

[0348] Step 8:

[0349] On your device: A confirmation message will appear confirming your donation, along with a link to download your receipt.

[0350] 5. Tax return assistance

[0351] Step 1:

[0352] Server: Retrieve the user's donation history from the database.

[0353] Step 2:

[0354] Server: Automatically generate tax return documents based on donation history.

[0355] Step 3:

[0356] Server: Sends the generated document to the user's email address.

[0357] Step 4:

[0358] User: Download the documents received by email and use them when filing your tax return.

[0359] Example 2

[0360] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0361] Traditional donation systems limit the information available to users when searching for donation recipients, making it difficult for them to make a donation decision. They also recommend donation recipients based solely on simple demographic and psychographic information, without taking into account the user's emotional state, resulting in a poorly personalized donation experience. Furthermore, the donation payment process, receipt provision, and tax return support are all separate, resulting in an inconsistent user experience.

[0362] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0363] In this invention, the server includes a means for generating a profile including demographic information, psychographic information, geographic information, and emotional information of the user, a means for recommending donation destinations based on the generated profile information and emotional information, and a means for displaying detailed information about the recommended donation destinations. This allows users to easily find the optimal donation destination based on their emotional state and interests, allowing them to make a smooth decision to donate. Furthermore, transparent information about donation destinations allows users to make donations with peace of mind.

[0364] "Demographic Information" refers to demographic data such as a user's age, gender, occupation, and income.

[0365] "Psychographic information" refers to psychological characteristics such as a user's hobbies, interests, lifestyle, and values.

[0366] "Geographic Information" refers to data about a user's place of residence or geographic location.

[0367] "Emotional information" refers to data regarding a user's emotional state detected using an emotion engine.

[0368] "Profile" refers to the integration of a user's demographic, psychographic, geographic, and emotional information.

[0369] "Pattern matching algorithm" refers to a computational method for identifying appropriate donation destinations based on a user's profile information.

[0370] "Donation Destination" refers to organizations or projects to which users can make donations.

[0371] "Detailed information" refers to information about the recipient, such as its founding history, vision, financial information, and reviews from other donors.

[0372] "Payment Information" refers to credit card information and other payment method data required when a user makes a donation.

[0373] "Receipt" refers to a document that proves that a donation has been made.

[0374] "Tax Return Form" means a document for use by a User when filing a tax return for a Donation.

[0375] The present invention is a system designed to enable individuals and organizations to easily find donation recipients and efficiently donate. The system includes a means for generating a profile containing a user's demographic, psychographic, geographic, and emotional information, a means for displaying detailed information about recommended donation recipients, a means for executing the settlement of donations to the donation recipient selected by the user, and a means for generating and providing donation receipts and tax return documents to the user. To achieve this, the involvement of a server, terminals, and users is important.

[0376] User:

[0377] First, a user accesses the system's website or application and creates an account by entering an email address and password. Once an account is created, a form is displayed for entering basic profile information such as name, annual income, hobbies, areas of interest, and desired donation amount. The user can also input their current emotional state using the emotion engine and add this information to their profile. Specifically, the user inputs emotional data through the camera or microphone.

[0378] server:

[0379] The server receives the information entered by the user and stores it in a database. At the same time, it also analyzes the emotional data provided by the emotion engine and adds it to the profile in an appropriate format. The server then runs a pattern matching algorithm based on the user's demographic, psychographic, geographic, and emotional information. This allows it to recommend the most suitable donation destination for the user. The recommendation algorithm includes a function for comprehensively analyzing the user's data.

[0380] Device:

[0381] The device displays a list of recipients based on the user's profile information. This list includes details about each recipient, such as its history, vision, financial information, and reviews from other donors. When the user selects a recipient, the recipient's details page is displayed, providing additional information (e.g., recent activity reports, spending reports, etc.).

[0382] User:

[0383] The user checks the details of the donation recipients displayed and selects the most trustworthy one. After selecting, the user enters the donation amount and payment information such as credit card information. Once the user has decided to donate, they click the "Donate" button.

[0384] server:

[0385] The server sends the entered payment information to an external payment platform and executes the donation payment. If the payment is successful, a donation receipt is generated and sent to the user's email address. In addition, tax return documents are automatically generated based on the donation history and sent to the user's email address.

[0386] Device:

[0387] The terminal will display a donation success message along with a receipt download link, which the user can use to download the receipt.

[0388] Specific examples

[0389] For example, suppose user A accesses the system, creates an account, and specifies that he or she is deeply interested in "environmental protection," has an annual income of 10 million yen, and wishes to donate 200,000 yen per year. The emotion engine recognizes that user A is in a state of "empathy" and "excitement." The server then runs a pattern matching algorithm based on this information to recommend multiple donation destinations (e.g., environmental protection organizations A, B, and C). User A checks the details of these donation destinations through his or her device and decides to donate 100,000 yen to environmental protection organization B. User A enters his or her credit card information and makes the donation. The server processes the payment, generates a receipt, and sends it to user A's email address. Furthermore, tax return documents are automatically generated and sent to user A's email address. An example of a prompt sentence is, "Based on my emotional state, please recommend a donation destination related to the theme of 'environmental protection,' which I've been interested in recently."

[0390] As a result, the present invention recommends optimal donation recipients taking into consideration the user's emotional information, supporting smooth donation activities. It also ensures transparency in donation recipients, providing an environment where donations can be made safely and with peace of mind.

[0391] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0392] Step 1:

[0393] User:

[0394] A user visits the system's website or application and clicks the "Sign Up" button. Next, they enter their email address and password, as well as other basic profile information (such as their name, annual income, hobbies, areas of interest, and desired donation amount). They also use an emotion engine to input their current emotional state and add it to their profile. The input data includes the user's personal information and emotional information.

[0395] server:

[0396] The server stores the information received from the user in a database. It also analyzes and stores the emotional data provided by the emotion engine. It stores the input data in the database as structured data and generates a profile.

[0397] Device:

[0398] The terminal displays a form for the user to enter information, and if registration is successful, displays a "Registration complete" message and redirects the user to the dashboard. The output data includes a registration confirmation.

[0399] Step 2:

[0400] server:

[0401] The server applies a pattern matching algorithm based on the user's profile information and emotion information to analyze the user's data and identify the most suitable donation recipients. Using the profile information and emotion information as input data, it generates a list of suitable donation recipients as output data.

[0402] Device:

[0403] The terminal displays the list of donation recipients received from the server to the user. The list includes detailed information about each donation recipient (foundation history, vision, financial information, ratings, and reviews from other donors). The list of donation recipients and their detailed information are displayed on the screen as output data.

[0404] Step 3:

[0405] User:

[0406] The user checks the list of donation recipients displayed on the device and views their detailed information. Using the displayed information, the user selects the most trustworthy donation recipient. The input data includes the recipient's rating information.

[0407] Device:

[0408] When the user selects a donation recipient, a detailed information page for that recipient is displayed. Additional information (recent activity reports, use reports, etc.) is also displayed to help the user make a donation decision. The detailed information page is displayed on the screen as output data.

[0409] Step 4:

[0410] User:

[0411] The user inputs the donation amount and payment information, such as credit card information. Then, they click the "Donate" button. The input data includes the donation amount and payment information.

[0412] server:

[0413] The server sends the payment information entered by the user to an external payment platform to complete the donation transaction. If the transaction is successful, a donation receipt is generated and sent to the user's email address. The payment information is used as input data, and the receipt is generated as output data.

[0414] Device:

[0415] The terminal will display a success message along with a link to download the receipt. The user can download the receipt from this link. The output data will include the success message and the receipt download link.

[0416] Step 5:

[0417] server:

[0418] The server retrieves the user's donation history from the database and automatically generates tax return documents, which include details such as the donation recipient, donation amount, and donation date and time. The donation history is used as input data, and the tax return documents are generated as output data.

[0419] server:

[0420] The generated tax return form is sent to the user's email address. The user can use this document to file their tax return. The tax return form is sent as output data by email.

[0421] (Application example 2)

[0422] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0423] In modern society, many people are interested in donating, but finding the right donation recipients and completing the donation process smoothly can be difficult. Providing a personalized donation experience based on individual emotions and interests has long been a challenge. To address these challenges, the present invention aims to provide a system that recommends donation recipients and streamlines donation activities based on a detailed profile of the user, including emotional information.

[0424] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for generating a profile including demographic information, psychographic information, geographic information, and emotional information of the user, means for recommending donation destinations based on the generated profile information and emotional information, and means for displaying detailed information about the recommended donation destinations. This makes it possible to provide optimal donation destinations while reflecting the user's emotional state. In addition, by including means for executing donation settlement and means for generating and providing donation receipts and tax return documents to the user, the entire donation process can be carried out seamlessly and efficiently.

[0425] "User" means an individual or corporation that uses the system to carry out donation activities.

[0426] "Demographic information" refers to information about a user's demographics, such as age, gender, annual income, and place of residence.

[0427] "Psychographic information" is information about a user's psychological and behavioral characteristics, such as hobbies, preferences, values, and lifestyle.

[0428] "Geographic information" is geographic information such as the user's place of residence or the location of the donation recipient.

[0429] "Emotion information" is information about the user's emotional state (for example, empathy, excitement, relief, etc.).

[0430] A "profile" is a set of information that integrates a user's demographic, psychographic, geographic, and emotional information.

[0431] A "donation recipient" is an organization or project to which a user makes a donation.

[0432] An "emotion engine" is a system that recognizes the user's emotional state and generates information about it.

[0433] "Recommendation" refers to presenting appropriate donation destinations based on the user's profile information and emotional information.

[0434] "Detailed information" refers to data used to evaluate the recipient, such as the recipient's founding history, vision, financial information, and reviews from other donors.

[0435] "Payment" is the process of transferring donations to the donation recipient selected by the user.

[0436] "Receipt" means a document certifying receipt of a donation.

[0437] "Tax Form" means a document used when a donation is tax deductible.

[0438] A "pattern matching algorithm" is a computational method for identifying appropriate donation recipients based on a user's profile information and emotional information.

[0439] The present invention provides a system that allows users to select donation recipients based on their emotions and smoothly carry out donation activities. The system includes the following main components:

[0440] 1. User registration and profile creation

[0441] - User: A user downloads the smartphone app and creates a new account using an email address and password. They enter basic profile information such as their name, annual income, hobbies, and desired donation amount. The app also uses an emotion engine to recognize their real-time emotional state and add that information to their profile.

[0442] - Server: The input information is stored in a database on the server and registered as a user profile. Emotion information recognized by the emotion engine is also added to the profile.

[0443] 2. Recommendations for donation destinations

[0444] - Server: Based on the profile information and sentiment information, a pattern matching algorithm is used to recommend suitable donation destinations to the user. This algorithm takes into account the user's demographic, psychographic, geographic, and sentiment information.

[0445] - On the device: The user is presented with a list of recommended donations and can view detailed information about each one (history, vision, financial information, reviews from other donors, etc.).

[0446] 3. Making donations

[0447] - User: After confirming the details of the donation recipient, the user enters the amount to donate and enters payment information such as credit card information.

[0448] - Server: Sends payment information to an external payment platform and executes the donation transaction. Once the transaction is completed, a donation receipt is generated and sent to the user's email address.

[0449] - On your device: You will receive a confirmation message that your donation has been completed, along with a link to download your receipt.

[0450] 4. Tax return support

[0451] - Server: Retrieves user donation history from the database and automatically generates tax return documents.

[0452] - Server: The generated documents are sent to the user's email address so that they can be used when filing tax returns.

[0453] Hardware and software used

[0454] Hardware: Smartphone

[0455] Software: Python, Emotion Engine (emotion recognition software), external payment API, database management system (e.g., MySQL), email sending service (e.g., SendGrid)

[0456] Data processing and calculation flow

[0457] 1. User registration: The user enters basic information, which is then stored in a database.

[0458] 2. Emotion Recognition: The emotion engine analyzes and recognizes the user's real-time emotions and adds the results to their profile.

[0459] 3. Donation recommendation: The recommendation system will select appropriate donation destinations based on profile information and emotional data.

[0460] 4. Donation Processing: When a user initiates the donation process, a secure payment is processed via an external payment API and the donation history is recorded in the database.

[0461] 5. Tax return generation: Pull donation history from the database, automatically generate tax return documents, and email them to the user.

[0462] Examples and prompts

[0463] Specific examples

[0464] User A downloads a smartphone app and creates an account. A has a deep interest in "environmental protection," sets his annual income at 10 million yen, and sets his desired donation amount at 200,000 yen per year. The emotion engine recognizes that A is in a state of "empathy" and "excitement." The server recommends multiple donation destinations (e.g., environmental protection organizations) based on A's profile information and emotion information. After checking the details of each organization, A decides to donate 100,000 yen to an environmental protection organization. The server processes the payment and sends a receipt and confirmation message to A. In addition, tax return documents are automatically generated and sent to A's email address.

[0465] Prompt Sentence Examples

[0466] When registering: "Please begin the registration process by entering your email address, password, and basic profile information."

[0467] Emotion recognition: "Please face the camera and we'll recognize your emotion."

[0468] When recommending donation destinations: "We will recommend the best donation destinations for you. Please see the list below."

[0469] When donating: "Enter the amount you would like to donate and enter your payment information. Once payment is complete, we will email you a receipt."

[0470] When generating tax return documents: "We will automatically generate tax return documents and send them to you by email once they are complete."

[0471] In this way, the present invention is a system that recommends optimal donation recipients based on a detailed profile including the user's emotional information, and supports smooth donation activities.

[0472] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0473] Step 1:

[0474] Input: A user downloads the smartphone app and registers their email address and password.

[0475] Specific behavior:

[0476] The user launches the smartphone app and taps the "New Registration" button.

[0477] Users enter information such as their email address, password, name, annual income, hobbies, and desired donation amount.

[0478] Data processing or data calculation:

[0479] The emotion engine scans the user's face with a camera and recognizes their real-time emotional state.

[0480] Output: Basic profile information and emotion information are generated and stored in the server database.

[0481] Step 2:

[0482] Input: User profile information (demographic, psychographic, geographic, and emotional information).

[0483] Specific behavior:

[0484] The server retrieves the user's profile information from a database.

[0485] Data processing or data calculation:

[0486] A pattern matching algorithm is used to identify donation destinations that match profile information and sentiment information.

[0487] Output: A list of the best donation destinations for the user is generated.

[0488] Step 3:

[0489] Input: A list of donation recipients and their details.

[0490] Specific behavior:

[0491] The server retrieves details about the recipient (history, vision, financial information, reviews from other donors) from a database.

[0492] A list of recommended donation recipients is sent to the user terminal.

[0493] Data processing or data calculation:

[0494] Format the details of each donation recipient in a user-friendly format.

[0495] Output: Details of the recommended donations are displayed on the user's smartphone.

[0496] Step 4:

[0497] Input: The donation recipient and donation amount selected by the user.

[0498] Specific behavior:

[0499] The user confirms the details of the donation recipient and enters the amount to be donated.

[0500] The user enters their credit card information.

[0501] Data processing or data calculation:

[0502] Send payment information to an external payment platform to process your donation.

[0503] Output: Payment completion information and a donation receipt are generated.

[0504] Step 5:

[0505] Input: Payment information and donation history.

[0506] Specific behavior:

[0507] The server retrieves the donation history from the database.

[0508] Once payment is complete, a donation receipt will be sent to the user's email address.

[0509] Data processing or data calculation:

[0510] Automatically generate tax return documents based on donation history.

[0511] Output: Tax return documents are generated and provided to the user.

[0512] As a result, the present invention provides a system that recommends optimal donation recipients based on a detailed profile including the user's emotional information, and supports smooth donation activities.

[0513] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0514] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0515] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0516] [Second embodiment]

[0517] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0518] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0519] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0520] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0521] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0522] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0523] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0524] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0525] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0526] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0527] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0528] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0529] The present invention provides a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. This system is implemented through the following steps.

[0530] 1. User registration and profile creation

[0531] User:

[0532] Users access the system and first create an account. They can easily create an account using their email address and password. At this stage, users enter basic profile information (name, annual income, hobbies, areas of interest, desired donation amount, etc.).

[0533] server:

[0534] The entered information is saved on the server and registered in a database as the user's profile.

[0535] 2. Recommendations for donation destinations

[0536] server:

[0537] Based on the profile information, a pattern matching algorithm is used to recommend suitable donation destinations to the user. The algorithm considers the user's demographic, psychographic, and geographic information to extract the most suitable donation destinations from a database of donation destinations.

[0538] Device:

[0539] The user is presented with a list of recommended donation recipients, with detailed information about each one, including its history, vision, financial information, ratings, and reviews from other donors.

[0540] 3. Evaluation and confirmation of donation recipients

[0541] User:

[0542] Users can view the list of recipients provided by the system and check detailed information about each recipient, including their history, vision, financial information, and reviews from other donors, to select the most trustworthy recipient.

[0543] 4. Making donations

[0544] User:

[0545] Once the user has decided on the donation recipient, they enter the amount they wish to donate and payment information such as credit card information.

[0546] server:

[0547] The payment information is sent to an external payment platform to process the donation. Once the payment is complete, a donation receipt is generated and sent to the user's email address.

[0548] Device:

[0549] A confirmation message will be displayed with a link to download your receipt.

[0550] 5. Tax return assistance

[0551] server:

[0552] The system retrieves the user's donation history from a database and automatically generates tax return documents.

[0553] server:

[0554] The generated documents are sent to the user's email address so that they can be used when filing their tax return.

[0555] Specific examples

[0556] User A accessed the system and created an account. A expressed a deep interest in "environmental protection," set an annual income of 10 million yen, and set a desired annual donation amount of 200,000 yen. Based on A's profile information, the server recommended several donation destinations (e.g., environmental protection organizations A, B, and C). After checking the detailed information of each organization, A decided to donate to environmental protection organization B and donated 100,000 yen. The server processed the payment, generated a receipt, and sent it to A. It also automatically generated tax return documents and sent them to A's email address.

[0557] In this way, this system is designed to allow users to easily choose the donation recipient that best suits them and carry out donation activities smoothly. It also ensures transparency of donation recipients, providing an environment where users can donate with peace of mind.

[0558] The processing flow will be explained below.

[0559] Program processing flow

[0560] 1. User registration and profile creation

[0561] Step 1:

[0562] User: Visits the system's website or app and clicks the "Create Account" button.

[0563] Step 2:

[0564] Device: Display the account creation form.

[0565] Step 3:

[0566] User: Enter your name, email address and password and click the "Register" button.

[0567] Step 4:

[0568] Terminal: Check the information you entered for omissions or errors.

[0569] Step 5:

[0570] Server: Stores the registration information in a database and sends a confirmation email to the user.

[0571] Step 6:

[0572] Users: Click the verification link they received in their email and log in again.

[0573] Step 7:

[0574] Device: Display a form to enter profile information.

[0575] Step 8:

[0576] User: Enter profile information such as annual income, hobbies, areas of interest, desired donation amount, etc., and click the "Save" button.

[0577] Step 9:

[0578] Terminal: Check the information you entered for omissions or errors.

[0579] Step 10:

[0580] Server: Stores profile information in a database.

[0581] 2. Recommendations for donation destinations

[0582] Step 1:

[0583] Server: Retrieves the logged-in user's profile information from the database.

[0584] Step 2:

[0585] Server: Searches for donation recipients based on profile information using a pattern matching algorithm.

[0586] Step 3:

[0587] Server: Compares the profile information against a database of donors and generates a list of matching donors.

[0588] Step 4:

[0589] Server: Collects details about the donor, including their history, vision, financials, ratings, and reviews from other donors.

[0590] Step 5:

[0591] Device: Transforms the recommendation results into HTML or app view format to present to the user.

[0592] Step 6:

[0593] Device: Display the recommendation results to the user.

[0594] 3. Evaluation and confirmation of donation recipients

[0595] Step 1:

[0596] User: Check the recommendation results sent from the server.

[0597] Step 2:

[0598] On your device: View detailed information for each donation recipient.

[0599] Step 3:

[0600] Users: View information about each recipient, including its history, vision, financials, and donor reviews.

[0601] Step 4:

[0602] User: Decide where to donate and click the "Donate" button.

[0603] 4. Making donations

[0604] Step 1:

[0605] Device: Display the donation amount input screen.

[0606] Step 2:

[0607] User: Enter the amount you would like to donate and click the "Next" button.

[0608] Step 3:

[0609] Terminal: Display the payment information input screen.

[0610] Step 4:

[0611] User: Enters credit card information and clicks the "Make Donation" button.

[0612] Step 5:

[0613] Server: Sends payment information to an external payment platform.

[0614] Step 6:

[0615] Server: Receives confirmation of payment completion and confirms receipt of donation.

[0616] Step 7:

[0617] Server: Generates donation receipts and emails them to users.

[0618] Step 8:

[0619] On your device: A confirmation message will appear confirming your donation, along with a link to download your receipt.

[0620] 5. Tax return assistance

[0621] Step 1:

[0622] Server: Retrieve the user's donation history from the database.

[0623] Step 2:

[0624] Server: Automatically generate tax return documents based on donation history.

[0625] Step 3:

[0626] Server: Sends the generated document to the user's email address.

[0627] Step 4:

[0628] User: Download the documents received by email and use them when filing your tax return.

[0629] Example 1

[0630] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0631] The present invention relates to a system that allows donors to quickly and easily select the most suitable donation recipient from multiple recipients, enabling smooth donation activities. It also aims to ensure the transparency of donations and provide an environment in which users can donate with peace of mind. To achieve this, it is necessary to recommend the most suitable donation recipient based on the user's profile information, provide detailed information about the donation recipient, and automate donation settlement and the generation of receipts and tax return documents.

[0632] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0633] In this invention, the server includes means for generating a profile including demographic information, psychographic information, and geographic information of the user, means for recommending donation destinations based on the generated profile information, means for displaying detailed information about the recommended donation destinations, means for executing donation settlement to the donation destination selected by the user, means for generating and providing a donation receipt and tax return documents to the user, and means for displaying a download link for the receipt after the donation. This allows users to easily select the donation destination that best suits them and make donations quickly in a manner that ensures transparency.

[0634] "Demographic information" is information that indicates statistical characteristics of a user, such as age, sex, occupation, and income.

[0635] "Psychographic information" is information that indicates psychological characteristics such as a user's hobbies, interests, and lifestyle.

[0636] "Geographic information" is information about the area or location where the user lives.

[0637] A "profile" is a collection of information that includes a user's personal attributes and interests.

[0638] A "pattern matching algorithm" is a computational method for analyzing a user's profile information and identifying appropriate donation destinations.

[0639] A "donation recipient" is an organization or group to which a user makes a donation.

[0640] "Detailed information" refers to specific information such as the organization's founding history, vision, financial information, and reviews from other donors.

[0641] "Settlement" refers to the process of paying the money required when a user makes a donation.

[0642] A "receipt" is a document that proves that a donation has been made.

[0643] "Tax Forms" means documents necessary for a User to claim tax deductions based on a Donation.

[0644] A "download link" is a URL that allows a user to obtain a document such as a receipt via the Internet.

[0645] MODE FOR CARRYING OUT THE INVENTION

[0646] The present invention relates to a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. Specific embodiments of the invention are described below.

[0647] Hardware and Software Use

[0648] The system uses the following hardware and software components:

[0649] Server: Has database management, algorithm execution, and email sending functions.

[0650] Terminal: The device that provides the user interface (PC, smartphone, tablet, etc.).

[0651] External payment platform: A system for processing credit card payments (e.g., Stripe, PayPal, etc.).

[0652] User registration and profile creation

[0653] A user accesses the system and clicks the Create Account button. The user enters an email address and password and presses the Register button. The server receives the entered information and creates a new user account in the database. After registration is complete, the server sends a confirmation email to the user.

[0654] Next, the user logs in and enters profile information such as name, annual income, hobbies, areas of interest, desired donation amount, etc. The server stores this information in a database, completing the user's profile.

[0655] Recommendations for donation destinations

[0656] The server then runs a pattern matching algorithm based on the stored user profile information to recommend the most suitable donation recipients. The algorithm considers the user's demographic, psychographic, and geographic information to extract suitable donation recipients from a donation recipient database.

[0657] The device displays a list of recommended recipients to the user, including details such as the recipient's history, vision, financial information, and reviews from other donors.

[0658] Donation recipient evaluation and confirmation

[0659] Users can view the list of recipients and click to view detailed information about each recipient, including their history, vision, financial information, and reviews from other donors.

[0660] Making donations

[0661] The user enters the donation amount and payment information such as credit card information. The server sends this payment information to an external payment platform and executes the donation payment. Once the payment is completed, the server generates a donation receipt and sends it to the user's email address.

[0662] The device will display a confirmation message that your donation has been completed, along with a link to download your receipt.

[0663] Tax return support

[0664] The server retrieves the user's donation history from the database and automatically generates tax return documents, which are then sent to the user's email address and used for filing their tax return.

[0665] Specific examples

[0666] User A accessed the system and created an account. A expressed a deep interest in "environmental protection," set an annual income of 10 million yen, and set a desired annual donation amount of 200,000 yen. Based on A's profile information, the server recommended several donation destinations (e.g., environmental protection organizations A, B, and C). After checking the detailed information of each organization, A decided to donate to environmental protection organization B and donated 100,000 yen. The server executed the payment through an external payment platform, generated a receipt, and sent it to A. Furthermore, the server generated tax return documents based on A's donation history and sent them to A's email address.

[0667] Prompt Sentence Examples

[0668] "Please explain the system that allows donors to easily select the appropriate donation recipient and smoothly carry out donation activities. Please include each step of the process: user registration, donation recipient recommendation, donation recipient evaluation and confirmation, donation execution, and tax return assistance."

[0669] This system is designed to allow users to easily choose the donation recipient that best suits them and carry out donation activities smoothly. It also ensures transparency of donation recipients, providing an environment where users can donate with peace of mind.

[0670] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0671] Step 1: User Registration

[0672] A user accesses the system and clicks the Create Account button. Next, they enter their email address and password and press the Register button. The server takes this as input and creates a new user account in the database. It sends a confirmation email based on the created account information. The terminal displays a message indicating that registration is complete.

[0673] Input: User's email address, password

[0674] Output: Account information stored in database, confirmation email sent

[0675] Step 2: Enter your profile information

[0676] The user logs in and enters their profile information such as name, annual income, hobbies, areas of interest, desired donation amount, etc. The server accepts this as input and stores it in a database. The device displays a message confirming that the profile information has been saved correctly.

[0677] Input: User's name, annual income, hobbies, areas of interest, desired donation amount

[0678] Output: Profile information stored in a database

[0679] Step 3: Recommend donation destinations

[0680] The server runs a pattern matching algorithm based on the stored profile information. This algorithm analyzes the user's demographic, psychographic, and geographic information to recommend appropriate donation recipients. Based on the analysis results, a donation list is generated and sent to the device.

[0681] Input: Profile information stored in the database

[0682] Output: A list of recommended donations

[0683] Step 4: View the donation list

[0684] The terminal receives the list of recommended recipients and displays it on the user interface. The list also includes detailed information about each recipient, such as their founding history, vision, financial information, and reviews from other donors. The user can view the list of recipients and their detailed information.

[0685] Input: Recommended Donation List

[0686] Output: A list of donation recipients and their details displayed in a user interface

[0687] Step 5: Select the donation recipient and enter the donation amount

[0688] The user selects the organization to which they wish to donate from the list of recipients and inputs the amount they wish to donate. The terminal receives this input and sends it to the server.

[0689] Input: User's chosen donation destination and donation amount

[0690] Output: Send the donation recipient and donation amount to the server

[0691] Step 6: Enter and submit payment information

[0692] The user enters payment information, such as credit card information. The server receives this information and sends it to an external payment platform to complete the payment. Once the payment is complete, the server generates a receipt and emails it to the user.

[0693] Input: User's credit card information, donation amount

[0694] Output: Sending payment information to an external payment platform, generating and emailing a receipt

[0695] Step 7: Confirm your donation and receive a link to download your receipt

[0696] The server confirms that the donation has been completed and notifies the device, which then displays a confirmation message and a link to download the receipt.

[0697] Input: Donation completion notification from the server

[0698] Output: Donation confirmation message, receipt download link

[0699] Step 8: Generate and submit tax forms

[0700] The server retrieves the user's donation history from the database, generates tax return documents, and sends the documents to the user's email address so that they can be used when filing their tax return.

[0701] Input: Donation history stored in database

[0702] Output: Generate and email tax return documents

[0703] (Application example 1)

[0704] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0705] The purpose of this invention is to provide a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. Conventional donation systems have limited information about donation recipients and complicated donation processes, making it difficult for users to make donations with peace of mind. In addition, the complicated procedures for filing tax returns after donations have placed a burden on users.

[0706] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0707] In this invention, the server includes means for generating a profile including demographic information, psychographic information, and geographic information of the user, means for recommending donation destinations based on the generated profile information, means for displaying detailed information about the recommended donation destinations, means for executing donation settlement to the donation destination selected by the user, means for generating donation receipts and tax return documents and providing them to the user, and means for automatically generating tax return documents based on the user's donation history. This not only enables donors to easily select appropriate donation destinations and make donations smoothly, but also simplifies tax return procedures.

[0708] "Demographic information" refers to demographic information such as a user's age, gender, income, and place of residence.

[0709] "Psychographic information" is information that represents a user's psychological and behavioral characteristics, such as hobbies, preferences, lifestyle, and values.

[0710] "Geographic information" is geographic information related to a user's place of residence or location.

[0711] A "profile" is information that represents an individual's characteristics and is generated by integrating a user's demographic information, psychographic information, and geographic information.

[0712] "Donation recipient" refers to the group or organization to which the user makes a donation.

[0713] "Recommendation" refers to selecting and suggesting the most suitable donation destination based on the user's profile information.

[0714] "Detailed information" includes information such as the organization's founding history, vision, financial information, and reviews from other donors.

[0715] "Settlement" refers to the series of processes for paying donations to the donation recipient selected by the user.

[0716] A "receipt" is a receipt issued when a user makes a donation.

[0717] "Tax Return Forms" means documents required to claim tax deductions based on donations.

[0718] A "generative AI model" is an artificial intelligence model for generating donation recommendation prompts.

[0719] A "prompt" is a sentence created by a generative AI model to encourage users to donate.

[0720] The system of the present invention allows donors to select appropriate donation recipients and smoothly carry out donation activities. This system is based on the following steps: user registration, profile creation, donation recipient recommendations, donation recipient evaluation and confirmation, donation execution, and tax return support.

[0721] First, the server provides a means to generate a profile containing the user's demographic, psychographic, and geographic information. When a user accesses the system and enters their basic information (such as name, annual income, hobbies, areas of interest, and desired donation amount), the information is sent to the server and stored in a database.

[0722] Next, the server uses a pattern matching algorithm and generative AI model to identify and recommend suitable donation recipients based on the generated profile information. The server also provides a means to display detailed information about the recommended donation recipients (such as their founding history, vision, financial information, and reviews from other donors).

[0723] Users can view a list of donation recipients provided by the system, review and rate the details of each recipient, and select the most trustworthy one. After making a selection, users enter the amount they wish to donate and payment information such as credit card information. The server sends the payment information to an external payment platform (e.g., Stripe) and completes the donation payment. Once the payment is complete, a donation receipt is generated and sent to the user's email address and device.

[0724] In addition, the server provides a means for automatically generating tax return documents based on the user's donation history. The generated documents are sent to the user's email address and can be used for filing tax returns.

[0725] As an example of this system, use the following prompt:

[0726] "Users can choose a donation destination, make a donation to a specific environmental organization, and easily receive a receipt along with tax return documents."

[0727] This invention not only allows donors to select the appropriate recipient and make their donation smoothly, but also simplifies the procedures for filing tax returns. By using this system, users can make donations with peace of mind and efficiently complete subsequent procedures.

[0728] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0729] Step 1:

[0730] A user accesses the system and registers an account. They enter information such as their name, annual income, hobbies, areas of interest, and the amount they wish to donate. The entered information is sent from the device to the server and stored in a database on the server. The input data is in text format, and the server converts it into structured data and stores it as profile information.

[0731] Step 2:

[0732] The server uses a pattern matching algorithm based on the user's profile information to identify and recommend suitable donation recipients. The algorithm considers the user's demographic, psychographic, and geographic information to select the most suitable donation recipients from a database of donation recipients. This list of selected donation recipients is generated as a recommendation result and sent to the device.

[0733] Step 3:

[0734] The user checks the list of donation recipients provided by the server through their device. Detailed information about each recipient (history of establishment, vision, financial information, reviews from other donors, etc.) is displayed. Based on the displayed information, the user selects a donation recipient. The selected information is then sent from the device to the server.

[0735] Step 4:

[0736] The server processes the payment of the donation to the recipient selected by the user. The donation amount and credit card information entered by the user are sent to the server, which then sends it to an external payment platform (e.g., Stripe). If the payment is successful, the server receives a notification of payment completion and stores the donation information in a database. Payment information is handled in encrypted form.

[0737] Step 5:

[0738] The server automatically generates a donation receipt and tax return documents. Based on the donation information, the documents are generated in the appropriate format and sent to the user's email address. This document generation process uses a generative AI model, which also generates a prompt. The generated prompt notifies the user that the donation has been completed and includes instructions on next steps.

[0739] Step 6:

[0740] The user can review the documents and download the receipt and tax return documents. The downloaded documents are provided in PDF format and can be used immediately for tax returns. Specifically, the user is prompted to "select a donation recipient, make a donation to a specific environmental protection organization, and easily receive tax return documents along with a receipt."

[0741] This process allows users to smoothly make donations through the system and easily file tax returns.

[0742] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0743] This invention is a system designed to enable individuals and businesses to easily find donation recipients and smoothly carry out donation activities. Furthermore, by combining an emotion engine that recognizes the user's emotions, the system reflects the user's emotional state in the donation process, providing a more personalized donation experience. This system is implemented through the following steps:

[0744] 1. User registration and profile creation

[0745] User:

[0746] A user accesses the system and creates an account. This is easy, using an email address and password. At this stage, the user enters basic profile information (such as name, annual income, hobbies, areas of interest, and desired donation amount). The system also uses an emotion engine to recognize the user's emotional state and adds that information to their profile.

[0747] server:

[0748] The input information is saved on the server and registered in the database as a user profile, including emotional information recognized by the emotion engine.

[0749] 2. Recommendations for donation destinations

[0750] server:

[0751] Based on the profile information, a pattern-matching algorithm is used to recommend suitable donation destinations to the user, taking into account the user's demographic, psychographic, and geographic information, as well as emotional information recognized by an emotion engine.

[0752] Device:

[0753] The user is presented with a list of recommended donation recipients, with detailed information about each one, including its history, vision, financial information, ratings, and reviews from other donors.

[0754] 3. Evaluation and confirmation of donation recipients

[0755] User:

[0756] Users can view the list of recipients provided by the system and check detailed information about each recipient, including their history, vision, financial information, and reviews from other donors, to select the most trustworthy recipient.

[0757] 4. Making donations

[0758] User:

[0759] Once the user has decided on the donation recipient, they enter the amount they wish to donate and payment information such as credit card information.

[0760] server:

[0761] The payment information is sent to an external payment platform to process the donation. Once the payment is complete, a donation receipt is generated and sent to the user's email address.

[0762] Device:

[0763] A confirmation message will be displayed with a link to download your receipt.

[0764] 5. Tax return assistance

[0765] server:

[0766] The system retrieves the user's donation history from a database and automatically generates tax return documents.

[0767] server:

[0768] The generated documents are sent to the user's email address so that they can be used when filing their tax return.

[0769] Specific examples

[0770] For example, suppose user A accesses the system and creates an account. A has a deep interest in "environmental protection," sets his annual income at 10 million yen, and sets his desired donation amount at 200,000 yen per year. The emotion engine recognizes that A is in a state of "empathy" and "excitement." Based on A's profile information and emotion information, the server recommends multiple donation destinations (e.g., environmental protection organizations A, B, and C). After checking the details of each organization, A decides to donate 100,000 yen to environmental protection organization B. The server processes the payment and sends a receipt and a confirmation message to A. In addition, it automatically generates tax return documents and sends them to A's email address.

[0771] In this way, this system recommends optimal donation recipients based on a detailed profile of the user, including their emotional information, and supports smooth donation activities. It also ensures transparency in donation recipients, providing an environment where users can donate with peace of mind.

[0772] The processing flow will be explained below.

[0773] Program processing flow

[0774] 1. User registration and profile creation

[0775] Step 1:

[0776] User: Visits the system's website or app and clicks the "Create Account" button.

[0777] Step 2:

[0778] Device: Display the account creation form.

[0779] Step 3:

[0780] User: Enter your name, email address and password and click the "Register" button.

[0781] Step 4:

[0782] Terminal: Check the information you entered for omissions or errors.

[0783] Step 5:

[0784] Server: Stores the registration information in a database and sends a confirmation email to the user.

[0785] Step 6:

[0786] Users: Click the verification link they received in their email and log in again.

[0787] Step 7:

[0788] Device: Display a form to enter profile information.

[0789] Step 8:

[0790] User: Enter profile information such as annual income, hobbies, areas of interest, desired donation amount, etc., and click the "Save" button.

[0791] Step 9:

[0792] Device: Activate the user's webcam or microphone and start the emotion engine.

[0793] Step 10:

[0794] Emotion engine: Analyzes the user's facial expressions or voice to recognize their emotional state.

[0795] Step 11:

[0796] Server: Adds the recognized emotion information to a profile and stores it in a database.

[0797] 2. Recommendations for donation destinations

[0798] Step 1:

[0799] Server: Retrieves the logged-in user's profile information from the database.

[0800] Step 2:

[0801] Server: Searches for donation recipients using a pattern matching algorithm based on the user's profile information and sentiment information.

[0802] Step 3:

[0803] Server: Compares the profile information against a database of donors and generates a list of matching donors.

[0804] Step 4:

[0805] Server: Collects details about the donor, including their history, vision, financials, ratings, and reviews from other donors.

[0806] Step 5:

[0807] Device: Transforms the recommendation results into HTML or app view format to present to the user.

[0808] Step 6:

[0809] Device: Display the recommendation results to the user.

[0810] 3. Evaluation and confirmation of donation recipients

[0811] Step 1:

[0812] User: Check the recommendation results sent from the server.

[0813] Step 2:

[0814] On your device: View detailed information for each donation recipient.

[0815] Step 3:

[0816] Users: View information about each recipient, including its history, vision, financials, and donor reviews.

[0817] Step 4:

[0818] User: Decide where to donate and click the "Donate" button.

[0819] 4. Making donations

[0820] Step 1:

[0821] Device: Display the donation amount input screen.

[0822] Step 2:

[0823] User: Enter the amount you would like to donate and click the "Next" button.

[0824] Step 3:

[0825] Terminal: Display the payment information input screen.

[0826] Step 4:

[0827] User: Enters credit card information and clicks the "Make Donation" button.

[0828] Step 5:

[0829] Server: Sends payment information to an external payment platform.

[0830] Step 6:

[0831] Server: Checks whether the payment has been completed and confirms receipt of the donation.

[0832] Step 7:

[0833] Server: Generates donation receipts and emails them to users.

[0834] Step 8:

[0835] On your device: A confirmation message will appear confirming your donation, along with a link to download your receipt.

[0836] 5. Tax return assistance

[0837] Step 1:

[0838] Server: Retrieve the user's donation history from the database.

[0839] Step 2:

[0840] Server: Automatically generate tax return documents based on donation history.

[0841] Step 3:

[0842] Server: Sends the generated document to the user's email address.

[0843] Step 4:

[0844] User: Download the documents received by email and use them when filing your tax return.

[0845] Example 2

[0846] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0847] Traditional donation systems limit the information available to users when searching for donation recipients, making it difficult for them to make a donation decision. They also recommend donation recipients based solely on simple demographic and psychographic information, without taking into account the user's emotional state, resulting in a poorly personalized donation experience. Furthermore, the donation payment process, receipt provision, and tax return support are all separate, resulting in an inconsistent user experience.

[0848] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0849] In this invention, the server includes a means for generating a profile including demographic information, psychographic information, geographic information, and emotional information of the user, a means for recommending donation destinations based on the generated profile information and emotional information, and a means for displaying detailed information about the recommended donation destinations. This allows users to easily find the optimal donation destination based on their emotional state and interests, allowing them to make a smooth decision to donate. Furthermore, transparent information about donation destinations allows users to make donations with peace of mind.

[0850] "Demographic Information" refers to demographic data such as a user's age, gender, occupation, and income.

[0851] "Psychographic information" refers to psychological characteristics such as a user's hobbies, interests, lifestyle, and values.

[0852] "Geographic Information" refers to data about a user's place of residence or geographic location.

[0853] "Emotional information" refers to data regarding a user's emotional state detected using an emotion engine.

[0854] "Profile" refers to the integration of a user's demographic, psychographic, geographic, and emotional information.

[0855] "Pattern matching algorithm" refers to a computational method for identifying appropriate donation destinations based on a user's profile information.

[0856] "Donation Destination" refers to organizations or projects to which users can make donations.

[0857] "Detailed information" refers to information about the recipient, such as its founding history, vision, financial information, and reviews from other donors.

[0858] "Payment Information" refers to credit card information and other payment method data required when a user makes a donation.

[0859] "Receipt" refers to a document that proves that a donation has been made.

[0860] "Tax Return Form" means a document for use by a User when filing a tax return for a Donation.

[0861] The present invention is a system designed to enable individuals and organizations to easily find donation recipients and efficiently donate. The system includes a means for generating a profile containing a user's demographic, psychographic, geographic, and emotional information, a means for displaying detailed information about recommended donation recipients, a means for executing the settlement of donations to the donation recipient selected by the user, and a means for generating and providing donation receipts and tax return documents to the user. To achieve this, the involvement of a server, terminals, and users is important.

[0862] User:

[0863] First, a user accesses the system's website or application and creates an account by entering an email address and password. Once an account is created, a form is displayed for entering basic profile information such as name, annual income, hobbies, areas of interest, and desired donation amount. The user can also input their current emotional state using the emotion engine and add this information to their profile. Specifically, the user inputs emotional data through the camera or microphone.

[0864] server:

[0865] The server receives the information entered by the user and stores it in a database. At the same time, it also analyzes the emotional data provided by the emotion engine and adds it to the profile in an appropriate format. The server then runs a pattern matching algorithm based on the user's demographic, psychographic, geographic, and emotional information. This allows it to recommend the most suitable donation destination for the user. The recommendation algorithm includes a function for comprehensively analyzing the user's data.

[0866] Device:

[0867] The device displays a list of recipients based on the user's profile information. This list includes details about each recipient, such as its history, vision, financial information, and reviews from other donors. When the user selects a recipient, the recipient's details page is displayed, providing additional information (e.g., recent activity reports, spending reports, etc.).

[0868] User:

[0869] The user checks the details of the donation recipients displayed and selects the most trustworthy one. After selecting, the user enters the donation amount and payment information such as credit card information. Once the user has decided to donate, they click the "Donate" button.

[0870] server:

[0871] The server sends the entered payment information to an external payment platform and executes the donation payment. If the payment is successful, a donation receipt is generated and sent to the user's email address. In addition, tax return documents are automatically generated based on the donation history and sent to the user's email address.

[0872] Device:

[0873] The terminal will display a donation success message along with a receipt download link, which the user can use to download the receipt.

[0874] Specific examples

[0875] For example, suppose user A accesses the system, creates an account, and specifies that he or she is deeply interested in "environmental protection," has an annual income of 10 million yen, and wishes to donate 200,000 yen per year. The emotion engine recognizes that user A is in a state of "empathy" and "excitement." The server then runs a pattern matching algorithm based on this information to recommend multiple donation destinations (e.g., environmental protection organizations A, B, and C). User A checks the details of these donation destinations through his or her device and decides to donate 100,000 yen to environmental protection organization B. User A enters his or her credit card information and makes the donation. The server processes the payment, generates a receipt, and sends it to user A's email address. Furthermore, tax return documents are automatically generated and sent to user A's email address. An example of a prompt sentence is, "Based on my emotional state, please recommend a donation destination related to the theme of 'environmental protection,' which I've been interested in recently."

[0876] As a result, the present invention recommends optimal donation recipients taking into consideration the user's emotional information, supporting smooth donation activities. It also ensures transparency in donation recipients, providing an environment where donations can be made safely and with peace of mind.

[0877] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0878] Step 1:

[0879] User:

[0880] A user visits the system's website or application and clicks the "Sign Up" button. Next, they enter their email address and password, as well as other basic profile information (such as their name, annual income, hobbies, areas of interest, and desired donation amount). They also use an emotion engine to input their current emotional state and add it to their profile. The input data includes the user's personal information and emotional information.

[0881] server:

[0882] The server stores the information received from the user in a database. It also analyzes and stores the emotional data provided by the emotion engine. It stores the input data in the database as structured data and generates a profile.

[0883] Device:

[0884] The terminal displays a form for the user to enter information, and if registration is successful, displays a "Registration complete" message and redirects the user to the dashboard. The output data includes a registration confirmation.

[0885] Step 2:

[0886] server:

[0887] The server applies a pattern matching algorithm based on the user's profile information and emotion information to analyze the user's data and identify the most suitable donation recipients. Using the profile information and emotion information as input data, it generates a list of suitable donation recipients as output data.

[0888] Device:

[0889] The terminal displays the list of donation recipients received from the server to the user. The list includes detailed information about each donation recipient (foundation history, vision, financial information, ratings, and reviews from other donors). The list of donation recipients and their detailed information are displayed on the screen as output data.

[0890] Step 3:

[0891] User:

[0892] The user checks the list of donation recipients displayed on the device and views their detailed information. Using the displayed information, the user selects the most trustworthy donation recipient. The input data includes the recipient's rating information.

[0893] Device:

[0894] When the user selects a donation recipient, a detailed information page for that recipient is displayed. Additional information (recent activity reports, use reports, etc.) is also displayed to help the user make a donation decision. The detailed information page is displayed on the screen as output data.

[0895] Step 4:

[0896] User:

[0897] The user inputs the donation amount and payment information, such as credit card information. Then, they click the "Donate" button. The input data includes the donation amount and payment information.

[0898] server:

[0899] The server sends the payment information entered by the user to an external payment platform to complete the donation transaction. If the transaction is successful, a donation receipt is generated and sent to the user's email address. The payment information is used as input data, and the receipt is generated as output data.

[0900] Device:

[0901] The terminal will display a success message along with a link to download the receipt. The user can download the receipt from this link. The output data will include the success message and the receipt download link.

[0902] Step 5:

[0903] server:

[0904] The server retrieves the user's donation history from the database and automatically generates tax return documents, which include details such as the donation recipient, donation amount, and donation date and time. The donation history is used as input data, and the tax return documents are generated as output data.

[0905] server:

[0906] The generated tax return form is sent to the user's email address. The user can use this document to file their tax return. The tax return form is sent as output data by email.

[0907] (Application example 2)

[0908] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0909] In modern society, many people are interested in donating, but finding the right donation recipients and completing the donation process smoothly can be difficult. Providing a personalized donation experience based on individual emotions and interests has long been a challenge. To address these challenges, the present invention aims to provide a system that recommends donation recipients and streamlines donation activities based on a detailed profile of the user, including emotional information.

[0910] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for generating a profile including demographic information, psychographic information, geographic information, and emotional information of the user, means for recommending donation destinations based on the generated profile information and emotional information, and means for displaying detailed information about the recommended donation destinations. This makes it possible to provide optimal donation destinations while reflecting the user's emotional state. In addition, by including means for executing donation settlement and means for generating and providing donation receipts and tax return documents to the user, the entire donation process can be carried out seamlessly and efficiently.

[0911] "User" means an individual or corporation that uses the system to carry out donation activities.

[0912] "Demographic information" refers to information about a user's demographics, such as age, gender, annual income, and place of residence.

[0913] "Psychographic information" is information about a user's psychological and behavioral characteristics, such as hobbies, preferences, values, and lifestyle.

[0914] "Geographic information" is geographic information such as the user's place of residence or the location of the donation recipient.

[0915] "Emotion information" is information about the user's emotional state (for example, empathy, excitement, relief, etc.).

[0916] A "profile" is a set of information that integrates a user's demographic, psychographic, geographic, and emotional information.

[0917] A "donation recipient" is an organization or project to which a user makes a donation.

[0918] An "emotion engine" is a system that recognizes the user's emotional state and generates information about it.

[0919] "Recommendation" refers to presenting appropriate donation destinations based on the user's profile information and emotional information.

[0920] "Detailed information" refers to data used to evaluate the recipient, such as the recipient's founding history, vision, financial information, and reviews from other donors.

[0921] "Payment" is the process of transferring donations to the donation recipient selected by the user.

[0922] "Receipt" means a document certifying receipt of a donation.

[0923] "Tax Form" means a document used when a donation is tax deductible.

[0924] A "pattern matching algorithm" is a computational method for identifying appropriate donation recipients based on a user's profile information and emotional information.

[0925] The present invention provides a system that allows users to select donation recipients based on their emotions and smoothly carry out donation activities. The system includes the following main components:

[0926] 1. User registration and profile creation

[0927] - User: A user downloads the smartphone app and creates a new account using an email address and password. They enter basic profile information such as their name, annual income, hobbies, and desired donation amount. The app also uses an emotion engine to recognize their real-time emotional state and add that information to their profile.

[0928] - Server: The input information is stored in a database on the server and registered as a user profile. Emotion information recognized by the emotion engine is also added to the profile.

[0929] 2. Recommendations for donation destinations

[0930] - Server: Based on the profile information and sentiment information, a pattern matching algorithm is used to recommend suitable donation destinations to the user. This algorithm takes into account the user's demographic, psychographic, geographic, and sentiment information.

[0931] - On the device: The user is presented with a list of recommended donations and can view detailed information about each one (history, vision, financial information, reviews from other donors, etc.).

[0932] 3. Making donations

[0933] - User: After confirming the details of the donation recipient, the user enters the amount to donate and enters payment information such as credit card information.

[0934] - Server: Sends payment information to an external payment platform and executes the donation transaction. Once the transaction is completed, a donation receipt is generated and sent to the user's email address.

[0935] - On your device: You will receive a confirmation message that your donation has been completed, along with a link to download your receipt.

[0936] 4. Tax return support

[0937] - Server: Retrieves user donation history from the database and automatically generates tax return documents.

[0938] - Server: The generated documents are sent to the user's email address so that they can be used when filing tax returns.

[0939] Hardware and software used

[0940] Hardware: Smartphone

[0941] Software: Python, Emotion Engine (emotion recognition software), external payment API, database management system (e.g., MySQL), email sending service (e.g., SendGrid)

[0942] Data processing and calculation flow

[0943] 1. User registration: The user enters basic information, which is then stored in a database.

[0944] 2. Emotion Recognition: The emotion engine analyzes and recognizes the user's real-time emotions and adds the results to their profile.

[0945] 3. Donation recommendation: The recommendation system will select appropriate donation destinations based on profile information and emotional data.

[0946] 4. Donation Processing: When a user initiates the donation process, a secure payment is processed via an external payment API and the donation history is recorded in the database.

[0947] 5. Tax return generation: Pull donation history from the database, automatically generate tax return documents, and email them to the user.

[0948] Examples and prompts

[0949] Specific examples

[0950] User A downloads a smartphone app and creates an account. A has a deep interest in "environmental protection," sets his annual income at 10 million yen, and sets his desired donation amount at 200,000 yen per year. The emotion engine recognizes that A is in a state of "empathy" and "excitement." The server recommends multiple donation destinations (e.g., environmental protection organizations) based on A's profile information and emotion information. After checking the details of each organization, A decides to donate 100,000 yen to an environmental protection organization. The server processes the payment and sends a receipt and confirmation message to A. In addition, tax return documents are automatically generated and sent to A's email address.

[0951] Prompt Sentence Examples

[0952] When registering: "Please begin the registration process by entering your email address, password, and basic profile information."

[0953] Emotion recognition: "Please face the camera and we'll recognize your emotion."

[0954] When recommending donation destinations: "We will recommend the best donation destinations for you. Please see the list below."

[0955] When donating: "Enter the amount you would like to donate and enter your payment information. Once payment is complete, we will email you a receipt."

[0956] When generating tax return documents: "We will automatically generate tax return documents and send them to you by email once they are complete."

[0957] In this way, the present invention is a system that recommends optimal donation recipients based on a detailed profile including the user's emotional information, and supports smooth donation activities.

[0958] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0959] Step 1:

[0960] Input: A user downloads the smartphone app and registers their email address and password.

[0961] Specific behavior:

[0962] The user launches the smartphone app and taps the "New Registration" button.

[0963] Users enter information such as their email address, password, name, annual income, hobbies, and desired donation amount.

[0964] Data processing or data calculation:

[0965] The emotion engine scans the user's face with a camera and recognizes their real-time emotional state.

[0966] Output: Basic profile information and emotion information are generated and stored in the server database.

[0967] Step 2:

[0968] Input: User profile information (demographic, psychographic, geographic, and emotional information).

[0969] Specific behavior:

[0970] The server retrieves the user's profile information from a database.

[0971] Data processing or data calculation:

[0972] A pattern matching algorithm is used to identify donation destinations that match profile information and sentiment information.

[0973] Output: A list of the best donation destinations for the user is generated.

[0974] Step 3:

[0975] Input: A list of donation recipients and their details.

[0976] Specific behavior:

[0977] The server retrieves details about the recipient (history, vision, financial information, reviews from other donors) from a database.

[0978] A list of recommended donation recipients is sent to the user terminal.

[0979] Data processing or data calculation:

[0980] Format the details of each donation recipient in a user-friendly format.

[0981] Output: Details of the recommended donations are displayed on the user's smartphone.

[0982] Step 4:

[0983] Input: The donation recipient and donation amount selected by the user.

[0984] Specific behavior:

[0985] The user confirms the details of the donation recipient and enters the amount to be donated.

[0986] The user enters their credit card information.

[0987] Data processing or data calculation:

[0988] Send payment information to an external payment platform to process your donation.

[0989] Output: Payment completion information and a donation receipt are generated.

[0990] Step 5:

[0991] Input: Payment information and donation history.

[0992] Specific behavior:

[0993] The server retrieves the donation history from the database.

[0994] Once payment is complete, a donation receipt will be sent to the user's email address.

[0995] Data processing or data calculation:

[0996] Automatically generate tax return documents based on donation history.

[0997] Output: Tax return documents are generated and provided to the user.

[0998] As a result, the present invention provides a system that recommends optimal donation recipients based on a detailed profile including the user's emotional information, and supports smooth donation activities.

[0999] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1000] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1001] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1002] [Third embodiment]

[1003] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1004] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1005] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1006] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[1007] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1008] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1009] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1010] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1011] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1012] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1013] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1014] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[1015] The present invention provides a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. This system is implemented through the following steps.

[1016] 1. User registration and profile creation

[1017] User:

[1018] Users access the system and first create an account. They can easily create an account using their email address and password. At this stage, users enter basic profile information (name, annual income, hobbies, areas of interest, desired donation amount, etc.).

[1019] server:

[1020] The entered information is saved on the server and registered in a database as the user's profile.

[1021] 2. Recommendations for donation destinations

[1022] server:

[1023] Based on the profile information, a pattern matching algorithm is used to recommend suitable donation destinations to the user. The algorithm considers the user's demographic, psychographic, and geographic information to extract the most suitable donation destinations from a database of donation destinations.

[1024] Device:

[1025] The user is presented with a list of recommended donation recipients, with detailed information about each one, including its history, vision, financial information, ratings, and reviews from other donors.

[1026] 3. Evaluation and confirmation of donation recipients

[1027] User:

[1028] Users can view the list of recipients provided by the system and check detailed information about each recipient, including their history, vision, financial information, and reviews from other donors, to select the most trustworthy recipient.

[1029] 4. Making donations

[1030] User:

[1031] Once the user has decided on the donation recipient, they enter the amount they wish to donate and payment information such as credit card information.

[1032] server:

[1033] The payment information is sent to an external payment platform to process the donation. Once the payment is complete, a donation receipt is generated and sent to the user's email address.

[1034] Device:

[1035] A confirmation message will be displayed with a link to download your receipt.

[1036] 5. Tax return assistance

[1037] server:

[1038] The system retrieves the user's donation history from a database and automatically generates tax return documents.

[1039] server:

[1040] The generated documents are sent to the user's email address so that they can be used when filing their tax return.

[1041] Specific examples

[1042] User A accessed the system and created an account. A expressed a deep interest in "environmental protection," set an annual income of 10 million yen, and set a desired annual donation amount of 200,000 yen. Based on A's profile information, the server recommended several donation destinations (e.g., environmental protection organizations A, B, and C). After checking the detailed information of each organization, A decided to donate to environmental protection organization B and donated 100,000 yen. The server processed the payment, generated a receipt, and sent it to A. It also automatically generated tax return documents and sent them to A's email address.

[1043] In this way, this system is designed to allow users to easily choose the donation recipient that best suits them and carry out donation activities smoothly. It also ensures transparency of donation recipients, providing an environment where users can donate with peace of mind.

[1044] The processing flow will be explained below.

[1045] Program processing flow

[1046] 1. User registration and profile creation

[1047] Step 1:

[1048] User: Visits the system's website or app and clicks the "Create Account" button.

[1049] Step 2:

[1050] Device: Display the account creation form.

[1051] Step 3:

[1052] User: Enter your name, email address and password and click the "Register" button.

[1053] Step 4:

[1054] Terminal: Check the information you entered for omissions or errors.

[1055] Step 5:

[1056] Server: Stores the registration information in a database and sends a confirmation email to the user.

[1057] Step 6:

[1058] Users: Click the verification link they received in their email and log in again.

[1059] Step 7:

[1060] Device: Display a form to enter profile information.

[1061] Step 8:

[1062] User: Enter profile information such as annual income, hobbies, areas of interest, desired donation amount, etc., and click the "Save" button.

[1063] Step 9:

[1064] Terminal: Check the information you entered for omissions or errors.

[1065] Step 10:

[1066] Server: Stores profile information in a database.

[1067] 2. Recommendations for donation destinations

[1068] Step 1:

[1069] Server: Retrieves the logged-in user's profile information from the database.

[1070] Step 2:

[1071] Server: Searches for donation recipients based on profile information using a pattern matching algorithm.

[1072] Step 3:

[1073] Server: Compares the profile information against a database of donors and generates a list of matching donors.

[1074] Step 4:

[1075] Server: Collects details about the donor, including their history, vision, financials, ratings, and reviews from other donors.

[1076] Step 5:

[1077] Device: Transforms the recommendation results into HTML or app view format to present to the user.

[1078] Step 6:

[1079] Device: Display the recommendation results to the user.

[1080] 3. Evaluation and confirmation of donation recipients

[1081] Step 1:

[1082] User: Check the recommendation results sent from the server.

[1083] Step 2:

[1084] On your device: View detailed information for each donation recipient.

[1085] Step 3:

[1086] Users: View information about each recipient, including its history, vision, financials, and donor reviews.

[1087] Step 4:

[1088] User: Decide where to donate and click the "Donate" button.

[1089] 4. Making donations

[1090] Step 1:

[1091] Device: Display the donation amount input screen.

[1092] Step 2:

[1093] User: Enter the amount you would like to donate and click the "Next" button.

[1094] Step 3:

[1095] Terminal: Display the payment information input screen.

[1096] Step 4:

[1097] User: Enters credit card information and clicks the "Make Donation" button.

[1098] Step 5:

[1099] Server: Sends payment information to an external payment platform.

[1100] Step 6:

[1101] Server: Receives confirmation of payment completion and confirms receipt of donation.

[1102] Step 7:

[1103] Server: Generates donation receipts and emails them to users.

[1104] Step 8:

[1105] On your device: A confirmation message will appear confirming your donation, along with a link to download your receipt.

[1106] 5. Tax return assistance

[1107] Step 1:

[1108] Server: Retrieve the user's donation history from the database.

[1109] Step 2:

[1110] Server: Automatically generate tax return documents based on donation history.

[1111] Step 3:

[1112] Server: Sends the generated document to the user's email address.

[1113] Step 4:

[1114] User: Download the documents received by email and use them when filing your tax return.

[1115] Example 1

[1116] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1117] The present invention relates to a system that allows donors to quickly and easily select the most suitable donation recipient from multiple recipients, enabling smooth donation activities. It also aims to ensure the transparency of donations and provide an environment in which users can donate with peace of mind. To achieve this, it is necessary to recommend the most suitable donation recipient based on the user's profile information, provide detailed information about the donation recipient, and automate donation settlement and the generation of receipts and tax return documents.

[1118] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1119] In this invention, the server includes means for generating a profile including demographic information, psychographic information, and geographic information of the user, means for recommending donation destinations based on the generated profile information, means for displaying detailed information about the recommended donation destinations, means for executing donation settlement to the donation destination selected by the user, means for generating and providing a donation receipt and tax return documents to the user, and means for displaying a download link for the receipt after the donation. This allows users to easily select the donation destination that best suits them and make donations quickly in a manner that ensures transparency.

[1120] "Demographic information" is information that indicates statistical characteristics of a user, such as age, sex, occupation, and income.

[1121] "Psychographic information" is information that indicates psychological characteristics such as a user's hobbies, interests, and lifestyle.

[1122] "Geographic information" is information about the area or location where the user lives.

[1123] A "profile" is a collection of information that includes a user's personal attributes and interests.

[1124] A "pattern matching algorithm" is a computational method for analyzing a user's profile information and identifying appropriate donation destinations.

[1125] A "donation recipient" is an organization or group to which a user makes a donation.

[1126] "Detailed information" refers to specific information such as the organization's founding history, vision, financial information, and reviews from other donors.

[1127] "Settlement" refers to the process of paying the money required when a user makes a donation.

[1128] A "receipt" is a document that proves that a donation has been made.

[1129] "Tax Forms" means documents necessary for a User to claim tax deductions based on a Donation.

[1130] A "download link" is a URL that allows a user to obtain a document such as a receipt via the Internet.

[1131] MODE FOR CARRYING OUT THE INVENTION

[1132] The present invention relates to a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. Specific embodiments of the invention are described below.

[1133] Hardware and Software Use

[1134] The system uses the following hardware and software components:

[1135] Server: Has database management, algorithm execution, and email sending functions.

[1136] Terminal: The device that provides the user interface (PC, smartphone, tablet, etc.).

[1137] External payment platform: A system for processing credit card payments (e.g., Stripe, PayPal, etc.).

[1138] User registration and profile creation

[1139] A user accesses the system and clicks the Create Account button. The user enters an email address and password and presses the Register button. The server receives the entered information and creates a new user account in the database. After registration is complete, the server sends a confirmation email to the user.

[1140] Next, the user logs in and enters profile information such as name, annual income, hobbies, areas of interest, desired donation amount, etc. The server stores this information in a database, completing the user's profile.

[1141] Recommendations for donation destinations

[1142] The server then runs a pattern matching algorithm based on the stored user profile information to recommend the most suitable donation recipients. The algorithm considers the user's demographic, psychographic, and geographic information to extract suitable donation recipients from a donation recipient database.

[1143] The device displays a list of recommended recipients to the user, including details such as the recipient's history, vision, financial information, and reviews from other donors.

[1144] Donation recipient evaluation and confirmation

[1145] Users can view the list of recipients and click to view detailed information about each recipient, including their history, vision, financial information, and reviews from other donors.

[1146] Making donations

[1147] The user enters the donation amount and payment information such as credit card information. The server sends this payment information to an external payment platform and executes the donation payment. Once the payment is completed, the server generates a donation receipt and sends it to the user's email address.

[1148] The device will display a confirmation message that your donation has been completed, along with a link to download your receipt.

[1149] Tax return support

[1150] The server retrieves the user's donation history from the database and automatically generates tax return documents, which are then sent to the user's email address and used for filing their tax return.

[1151] Specific examples

[1152] User A accessed the system and created an account. A expressed a deep interest in "environmental protection," set an annual income of 10 million yen, and set a desired annual donation amount of 200,000 yen. Based on A's profile information, the server recommended several donation destinations (e.g., environmental protection organizations A, B, and C). After checking the detailed information of each organization, A decided to donate to environmental protection organization B and donated 100,000 yen. The server executed the payment through an external payment platform, generated a receipt, and sent it to A. Furthermore, the server generated tax return documents based on A's donation history and sent them to A's email address.

[1153] Prompt Sentence Examples

[1154] "Please explain the system that allows donors to easily select the appropriate donation recipient and smoothly carry out donation activities. Please include each step of the process: user registration, donation recipient recommendation, donation recipient evaluation and confirmation, donation execution, and tax return assistance."

[1155] This system is designed to allow users to easily choose the donation recipient that best suits them and carry out donation activities smoothly. It also ensures transparency of donation recipients, providing an environment where users can donate with peace of mind.

[1156] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1157] Step 1: User Registration

[1158] A user accesses the system and clicks the Create Account button. Next, they enter their email address and password and press the Register button. The server takes this as input and creates a new user account in the database. It sends a confirmation email based on the created account information. The terminal displays a message indicating that registration is complete.

[1159] Input: User's email address, password

[1160] Output: Account information stored in database, confirmation email sent

[1161] Step 2: Enter your profile information

[1162] The user logs in and enters their profile information such as name, annual income, hobbies, areas of interest, desired donation amount, etc. The server accepts this as input and stores it in a database. The device displays a message confirming that the profile information has been saved correctly.

[1163] Input: User's name, annual income, hobbies, areas of interest, desired donation amount

[1164] Output: Profile information stored in a database

[1165] Step 3: Recommend donation destinations

[1166] The server runs a pattern matching algorithm based on the stored profile information. This algorithm analyzes the user's demographic, psychographic, and geographic information to recommend appropriate donation recipients. Based on the analysis results, a donation list is generated and sent to the device.

[1167] Input: Profile information stored in the database

[1168] Output: A list of recommended donations

[1169] Step 4: View the donation list

[1170] The terminal receives the list of recommended recipients and displays it on the user interface. The list also includes detailed information about each recipient, such as their founding history, vision, financial information, and reviews from other donors. The user can view the list of recipients and their detailed information.

[1171] Input: Recommended Donation List

[1172] Output: A list of donation recipients and their details displayed in a user interface

[1173] Step 5: Select the donation recipient and enter the donation amount

[1174] The user selects the organization to which they wish to donate from the list of recipients and inputs the amount they wish to donate. The terminal receives this input and sends it to the server.

[1175] Input: User's chosen donation destination and donation amount

[1176] Output: Send the donation recipient and donation amount to the server

[1177] Step 6: Enter and submit payment information

[1178] The user enters payment information, such as credit card information. The server receives this information and sends it to an external payment platform to complete the payment. Once the payment is complete, the server generates a receipt and emails it to the user.

[1179] Input: User's credit card information, donation amount

[1180] Output: Sending payment information to an external payment platform, generating and emailing a receipt

[1181] Step 7: Confirm your donation and receive a link to download your receipt

[1182] The server confirms that the donation has been completed and notifies the device, which then displays a confirmation message and a link to download the receipt.

[1183] Input: Donation completion notification from the server

[1184] Output: Donation confirmation message, receipt download link

[1185] Step 8: Generate and submit tax forms

[1186] The server retrieves the user's donation history from the database, generates tax return documents, and sends the documents to the user's email address so that they can be used when filing their tax return.

[1187] Input: Donation history stored in database

[1188] Output: Generate and email tax return documents

[1189] (Application example 1)

[1190] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1191] The purpose of this invention is to provide a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. Conventional donation systems have limited information about donation recipients and complicated donation processes, making it difficult for users to make donations with peace of mind. In addition, the complicated procedures for filing tax returns after donations have placed a burden on users.

[1192] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1193] In this invention, the server includes means for generating a profile including demographic information, psychographic information, and geographic information of the user, means for recommending donation destinations based on the generated profile information, means for displaying detailed information about the recommended donation destinations, means for executing donation settlement to the donation destination selected by the user, means for generating donation receipts and tax return documents and providing them to the user, and means for automatically generating tax return documents based on the user's donation history. This not only enables donors to easily select appropriate donation destinations and make donations smoothly, but also simplifies tax return procedures.

[1194] "Demographic information" refers to demographic information such as a user's age, gender, income, and place of residence.

[1195] "Psychographic information" is information that represents a user's psychological and behavioral characteristics, such as hobbies, preferences, lifestyle, and values.

[1196] "Geographic information" is geographic information related to a user's place of residence or location.

[1197] A "profile" is information that represents an individual's characteristics and is generated by integrating a user's demographic information, psychographic information, and geographic information.

[1198] "Donation recipient" refers to the group or organization to which the user makes a donation.

[1199] "Recommendation" refers to selecting and suggesting the most suitable donation destination based on the user's profile information.

[1200] "Detailed information" includes information such as the organization's founding history, vision, financial information, and reviews from other donors.

[1201] "Settlement" refers to the series of processes for paying donations to the donation recipient selected by the user.

[1202] A "receipt" is a receipt issued when a user makes a donation.

[1203] "Tax Return Forms" means documents required to claim tax deductions based on donations.

[1204] A "generative AI model" is an artificial intelligence model for generating donation recommendation prompts.

[1205] A "prompt" is a sentence created by a generative AI model to encourage users to donate.

[1206] The system of the present invention allows donors to select appropriate donation recipients and smoothly carry out donation activities. This system is based on the following steps: user registration, profile creation, donation recipient recommendations, donation recipient evaluation and confirmation, donation execution, and tax return support.

[1207] First, the server provides a means to generate a profile containing the user's demographic, psychographic, and geographic information. When a user accesses the system and enters their basic information (such as name, annual income, hobbies, areas of interest, and desired donation amount), the information is sent to the server and stored in a database.

[1208] Next, the server uses a pattern matching algorithm and generative AI model to identify and recommend suitable donation recipients based on the generated profile information. The server also provides a means to display detailed information about the recommended donation recipients (such as their founding history, vision, financial information, and reviews from other donors).

[1209] Users can view a list of donation recipients provided by the system, review and rate the details of each recipient, and select the most trustworthy one. After making a selection, users enter the amount they wish to donate and payment information such as credit card information. The server sends the payment information to an external payment platform (e.g., Stripe) and completes the donation payment. Once the payment is complete, a donation receipt is generated and sent to the user's email address and device.

[1210] In addition, the server provides a means for automatically generating tax return documents based on the user's donation history. The generated documents are sent to the user's email address and can be used for filing tax returns.

[1211] As an example of this system, use the following prompt:

[1212] "Users can choose a donation destination, make a donation to a specific environmental organization, and easily receive a receipt along with tax return documents."

[1213] This invention not only allows donors to select the appropriate recipient and make their donation smoothly, but also simplifies the procedures for filing tax returns. By using this system, users can make donations with peace of mind and efficiently complete subsequent procedures.

[1214] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1215] Step 1:

[1216] A user accesses the system and registers an account. They enter information such as their name, annual income, hobbies, areas of interest, and the amount they wish to donate. The entered information is sent from the device to the server and stored in a database on the server. The input data is in text format, and the server converts it into structured data and stores it as profile information.

[1217] Step 2:

[1218] The server uses a pattern matching algorithm based on the user's profile information to identify and recommend suitable donation recipients. The algorithm considers the user's demographic, psychographic, and geographic information to select the most suitable donation recipients from a database of donation recipients. This list of selected donation recipients is generated as a recommendation result and sent to the device.

[1219] Step 3:

[1220] The user checks the list of donation recipients provided by the server through their device. Detailed information about each recipient (history of establishment, vision, financial information, reviews from other donors, etc.) is displayed. Based on the displayed information, the user selects a donation recipient. The selected information is then sent from the device to the server.

[1221] Step 4:

[1222] The server processes the payment of the donation to the recipient selected by the user. The donation amount and credit card information entered by the user are sent to the server, which then sends it to an external payment platform (e.g., Stripe). If the payment is successful, the server receives a notification of payment completion and stores the donation information in a database. Payment information is handled in encrypted form.

[1223] Step 5:

[1224] The server automatically generates a donation receipt and tax return documents. Based on the donation information, the documents are generated in the appropriate format and sent to the user's email address. This document generation process uses a generative AI model, which also generates a prompt. The generated prompt notifies the user that the donation has been completed and includes instructions on next steps.

[1225] Step 6:

[1226] The user can review the documents and download the receipt and tax return documents. The downloaded documents are provided in PDF format and can be used immediately for tax returns. Specifically, the user is prompted to "select a donation recipient, make a donation to a specific environmental protection organization, and easily receive tax return documents along with a receipt."

[1227] This process allows users to smoothly make donations through the system and easily file tax returns.

[1228] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1229] This invention is a system designed to enable individuals and businesses to easily find donation recipients and smoothly carry out donation activities. Furthermore, by combining an emotion engine that recognizes the user's emotions, the system reflects the user's emotional state in the donation process, providing a more personalized donation experience. This system is implemented through the following steps:

[1230] 1. User registration and profile creation

[1231] User:

[1232] A user accesses the system and creates an account. This is easy, using an email address and password. At this stage, the user enters basic profile information (such as name, annual income, hobbies, areas of interest, and desired donation amount). The system also uses an emotion engine to recognize the user's emotional state and adds that information to their profile.

[1233] server:

[1234] The input information is saved on the server and registered in the database as a user profile, including emotional information recognized by the emotion engine.

[1235] 2. Recommendations for donation destinations

[1236] server:

[1237] Based on the profile information, a pattern-matching algorithm is used to recommend suitable donation destinations to the user, taking into account the user's demographic, psychographic, and geographic information, as well as emotional information recognized by an emotion engine.

[1238] Device:

[1239] The user is presented with a list of recommended donation recipients, with detailed information about each one, including its history, vision, financial information, ratings, and reviews from other donors.

[1240] 3. Evaluation and confirmation of donation recipients

[1241] User:

[1242] Users can view the list of recipients provided by the system and check detailed information about each recipient, including their history, vision, financial information, and reviews from other donors, to select the most trustworthy recipient.

[1243] 4. Making donations

[1244] User:

[1245] Once the user has decided on the donation recipient, they enter the amount they wish to donate and payment information such as credit card information.

[1246] server:

[1247] The payment information is sent to an external payment platform to process the donation. Once the payment is complete, a donation receipt is generated and sent to the user's email address.

[1248] Device:

[1249] A confirmation message will be displayed with a link to download your receipt.

[1250] 5. Tax return assistance

[1251] server:

[1252] The system retrieves the user's donation history from a database and automatically generates tax return documents.

[1253] server:

[1254] The generated documents are sent to the user's email address so that they can be used when filing their tax return.

[1255] Specific examples

[1256] For example, suppose user A accesses the system and creates an account. A has a deep interest in "environmental protection," sets his annual income at 10 million yen, and sets his desired donation amount at 200,000 yen per year. The emotion engine recognizes that A is in a state of "empathy" and "excitement." Based on A's profile information and emotion information, the server recommends multiple donation destinations (e.g., environmental protection organizations A, B, and C). After checking the details of each organization, A decides to donate 100,000 yen to environmental protection organization B. The server processes the payment and sends a receipt and a confirmation message to A. In addition, it automatically generates tax return documents and sends them to A's email address.

[1257] In this way, this system recommends optimal donation recipients based on a detailed profile of the user, including their emotional information, and supports smooth donation activities. It also ensures transparency in donation recipients, providing an environment where users can donate with peace of mind.

[1258] The processing flow will be explained below.

[1259] Program processing flow

[1260] 1. User registration and profile creation

[1261] Step 1:

[1262] User: Visits the system's website or app and clicks the "Create Account" button.

[1263] Step 2:

[1264] Device: Display the account creation form.

[1265] Step 3:

[1266] User: Enter your name, email address and password and click the "Register" button.

[1267] Step 4:

[1268] Terminal: Check the information you entered for omissions or errors.

[1269] Step 5:

[1270] Server: Stores the registration information in a database and sends a confirmation email to the user.

[1271] Step 6:

[1272] Users: Click the verification link they received in their email and log in again.

[1273] Step 7:

[1274] Device: Display a form to enter profile information.

[1275] Step 8:

[1276] User: Enter profile information such as annual income, hobbies, areas of interest, desired donation amount, etc., and click the "Save" button.

[1277] Step 9:

[1278] Device: Activate the user's webcam or microphone and start the emotion engine.

[1279] Step 10:

[1280] Emotion engine: Analyzes the user's facial expressions or voice to recognize their emotional state.

[1281] Step 11:

[1282] Server: Adds the recognized emotion information to a profile and stores it in a database.

[1283] 2. Recommendations for donation destinations

[1284] Step 1:

[1285] Server: Retrieves the logged-in user's profile information from the database.

[1286] Step 2:

[1287] Server: Searches for donation recipients using a pattern matching algorithm based on the user's profile information and sentiment information.

[1288] Step 3:

[1289] Server: Compares the profile information against a database of donors and generates a list of matching donors.

[1290] Step 4:

[1291] Server: Collects details about the donor, including their history, vision, financials, ratings, and reviews from other donors.

[1292] Step 5:

[1293] Device: Transforms the recommendation results into HTML or app view format to present to the user.

[1294] Step 6:

[1295] Device: Display the recommendation results to the user.

[1296] 3. Evaluation and confirmation of donation recipients

[1297] Step 1:

[1298] User: Check the recommendation results sent from the server.

[1299] Step 2:

[1300] On your device: View detailed information for each donation recipient.

[1301] Step 3:

[1302] Users: View information about each recipient, including its history, vision, financials, and donor reviews.

[1303] Step 4:

[1304] User: Decide where to donate and click the "Donate" button.

[1305] 4. Making donations

[1306] Step 1:

[1307] Device: Display the donation amount input screen.

[1308] Step 2:

[1309] User: Enter the amount you would like to donate and click the "Next" button.

[1310] Step 3:

[1311] Terminal: Display the payment information input screen.

[1312] Step 4:

[1313] User: Enters credit card information and clicks the "Make Donation" button.

[1314] Step 5:

[1315] Server: Sends payment information to an external payment platform.

[1316] Step 6:

[1317] Server: Checks whether the payment has been completed and confirms receipt of the donation.

[1318] Step 7:

[1319] Server: Generates donation receipts and emails them to users.

[1320] Step 8:

[1321] On your device: A confirmation message will appear confirming your donation, along with a link to download your receipt.

[1322] 5. Tax return assistance

[1323] Step 1:

[1324] Server: Retrieve the user's donation history from the database.

[1325] Step 2:

[1326] Server: Automatically generate tax return documents based on donation history.

[1327] Step 3:

[1328] Server: Sends the generated document to the user's email address.

[1329] Step 4:

[1330] User: Download the documents received by email and use them when filing your tax return.

[1331] Example 2

[1332] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1333] Traditional donation systems limit the information available to users when searching for donation recipients, making it difficult for them to make a donation decision. They also recommend donation recipients based solely on simple demographic and psychographic information, without taking into account the user's emotional state, resulting in a poorly personalized donation experience. Furthermore, the donation payment process, receipt provision, and tax return support are all separate, resulting in an inconsistent user experience.

[1334] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1335] In this invention, the server includes a means for generating a profile including demographic information, psychographic information, geographic information, and emotional information of the user, a means for recommending donation destinations based on the generated profile information and emotional information, and a means for displaying detailed information about the recommended donation destinations. This allows users to easily find the optimal donation destination based on their emotional state and interests, allowing them to make a smooth decision to donate. Furthermore, transparent information about donation destinations allows users to make donations with peace of mind.

[1336] "Demographic Information" refers to demographic data such as a user's age, gender, occupation, and income.

[1337] "Psychographic information" refers to psychological characteristics such as a user's hobbies, interests, lifestyle, and values.

[1338] "Geographic Information" refers to data about a user's place of residence or geographic location.

[1339] "Emotional information" refers to data regarding a user's emotional state detected using an emotion engine.

[1340] "Profile" refers to the integration of a user's demographic, psychographic, geographic, and emotional information.

[1341] "Pattern matching algorithm" refers to a computational method for identifying appropriate donation destinations based on a user's profile information.

[1342] "Donation Destination" refers to organizations or projects to which users can make donations.

[1343] "Detailed information" refers to information about the recipient, such as its founding history, vision, financial information, and reviews from other donors.

[1344] "Payment Information" refers to credit card information and other payment method data required when a user makes a donation.

[1345] "Receipt" refers to a document that proves that a donation has been made.

[1346] "Tax Return Form" means a document for use by a User when filing a tax return for a Donation.

[1347] The present invention is a system designed to enable individuals and organizations to easily find donation recipients and efficiently donate. The system includes a means for generating a profile containing a user's demographic, psychographic, geographic, and emotional information, a means for displaying detailed information about recommended donation recipients, a means for executing the settlement of donations to the donation recipient selected by the user, and a means for generating and providing donation receipts and tax return documents to the user. To achieve this, the involvement of a server, terminals, and users is important.

[1348] User:

[1349] First, a user accesses the system's website or application and creates an account by entering an email address and password. Once an account is created, a form is displayed for entering basic profile information such as name, annual income, hobbies, areas of interest, and desired donation amount. The user can also input their current emotional state using the emotion engine and add this information to their profile. Specifically, the user inputs emotional data through the camera or microphone.

[1350] server:

[1351] The server receives the information entered by the user and stores it in a database. At the same time, it also analyzes the emotional data provided by the emotion engine and adds it to the profile in an appropriate format. The server then runs a pattern matching algorithm based on the user's demographic, psychographic, geographic, and emotional information. This allows it to recommend the most suitable donation destination for the user. The recommendation algorithm includes a function for comprehensively analyzing the user's data.

[1352] Device:

[1353] The device displays a list of recipients based on the user's profile information. This list includes details about each recipient, such as its history, vision, financial information, and reviews from other donors. When the user selects a recipient, the recipient's details page is displayed, providing additional information (e.g., recent activity reports, spending reports, etc.).

[1354] User:

[1355] The user checks the details of the donation recipients displayed and selects the most trustworthy one. After selecting, the user enters the donation amount and payment information such as credit card information. Once the user has decided to donate, they click the "Donate" button.

[1356] server:

[1357] The server sends the entered payment information to an external payment platform and executes the donation payment. If the payment is successful, a donation receipt is generated and sent to the user's email address. In addition, tax return documents are automatically generated based on the donation history and sent to the user's email address.

[1358] Device:

[1359] The terminal will display a donation success message along with a receipt download link, which the user can use to download the receipt.

[1360] Specific examples

[1361] For example, suppose user A accesses the system, creates an account, and specifies that he or she is deeply interested in "environmental protection," has an annual income of 10 million yen, and wishes to donate 200,000 yen per year. The emotion engine recognizes that user A is in a state of "empathy" and "excitement." The server then runs a pattern matching algorithm based on this information to recommend multiple donation destinations (e.g., environmental protection organizations A, B, and C). User A checks the details of these donation destinations through his or her device and decides to donate 100,000 yen to environmental protection organization B. User A enters his or her credit card information and makes the donation. The server processes the payment, generates a receipt, and sends it to user A's email address. Furthermore, tax return documents are automatically generated and sent to user A's email address. An example of a prompt sentence is, "Based on my emotional state, please recommend a donation destination related to the theme of 'environmental protection,' which I've been interested in recently."

[1362] As a result, the present invention recommends optimal donation recipients taking into consideration the user's emotional information, supporting smooth donation activities. It also ensures transparency in donation recipients, providing an environment where donations can be made safely and with peace of mind.

[1363] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1364] Step 1:

[1365] User:

[1366] A user visits the system's website or application and clicks the "Sign Up" button. Next, they enter their email address and password, as well as other basic profile information (such as their name, annual income, hobbies, areas of interest, and desired donation amount). They also use an emotion engine to input their current emotional state and add it to their profile. The input data includes the user's personal information and emotional information.

[1367] server:

[1368] The server stores the information received from the user in a database. It also analyzes and stores the emotional data provided by the emotion engine. It stores the input data in the database as structured data and generates a profile.

[1369] Device:

[1370] The terminal displays a form for the user to enter information, and if registration is successful, displays a "Registration complete" message and redirects the user to the dashboard. The output data includes a registration confirmation.

[1371] Step 2:

[1372] server:

[1373] The server applies a pattern matching algorithm based on the user's profile information and emotion information to analyze the user's data and identify the most suitable donation recipients. Using the profile information and emotion information as input data, it generates a list of suitable donation recipients as output data.

[1374] Device:

[1375] The terminal displays the list of donation recipients received from the server to the user. The list includes detailed information about each donation recipient (foundation history, vision, financial information, ratings, and reviews from other donors). The list of donation recipients and their detailed information are displayed on the screen as output data.

[1376] Step 3:

[1377] User:

[1378] The user checks the list of donation recipients displayed on the device and views their detailed information. Using the displayed information, the user selects the most trustworthy donation recipient. The input data includes the recipient's rating information.

[1379] Device:

[1380] When the user selects a donation recipient, a detailed information page for that recipient is displayed. Additional information (recent activity reports, use reports, etc.) is also displayed to help the user make a donation decision. The detailed information page is displayed on the screen as output data.

[1381] Step 4:

[1382] User:

[1383] The user inputs the donation amount and payment information, such as credit card information. Then, they click the "Donate" button. The input data includes the donation amount and payment information.

[1384] server:

[1385] The server sends the payment information entered by the user to an external payment platform to complete the donation transaction. If the transaction is successful, a donation receipt is generated and sent to the user's email address. The payment information is used as input data, and the receipt is generated as output data.

[1386] Device:

[1387] The terminal will display a success message along with a link to download the receipt. The user can download the receipt from this link. The output data will include the success message and the receipt download link.

[1388] Step 5:

[1389] server:

[1390] The server retrieves the user's donation history from the database and automatically generates tax return documents, which include details such as the donation recipient, donation amount, and donation date and time. The donation history is used as input data, and the tax return documents are generated as output data.

[1391] server:

[1392] The generated tax return form is sent to the user's email address. The user can use this document to file their tax return. The tax return form is sent as output data by email.

[1393] (Application example 2)

[1394] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1395] In modern society, many people are interested in donating, but finding the right donation recipients and completing the donation process smoothly can be difficult. Providing a personalized donation experience based on individual emotions and interests has long been a challenge. To address these challenges, the present invention aims to provide a system that recommends donation recipients and streamlines donation activities based on a detailed profile of the user, including emotional information.

[1396] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for generating a profile including demographic information, psychographic information, geographic information, and emotional information of the user, means for recommending donation destinations based on the generated profile information and emotional information, and means for displaying detailed information about the recommended donation destinations. This makes it possible to provide optimal donation destinations while reflecting the user's emotional state. In addition, by including means for executing donation settlement and means for generating and providing donation receipts and tax return documents to the user, the entire donation process can be carried out seamlessly and efficiently.

[1397] "User" means an individual or corporation that uses the system to carry out donation activities.

[1398] "Demographic information" refers to information about a user's demographics, such as age, gender, annual income, and place of residence.

[1399] "Psychographic information" is information about a user's psychological and behavioral characteristics, such as hobbies, preferences, values, and lifestyle.

[1400] "Geographic information" is geographic information such as the user's place of residence or the location of the donation recipient.

[1401] "Emotion information" is information about the user's emotional state (for example, empathy, excitement, relief, etc.).

[1402] A "profile" is a set of information that integrates a user's demographic, psychographic, geographic, and emotional information.

[1403] A "donation recipient" is an organization or project to which a user makes a donation.

[1404] An "emotion engine" is a system that recognizes the user's emotional state and generates information about it.

[1405] "Recommendation" refers to presenting appropriate donation destinations based on the user's profile information and emotional information.

[1406] "Detailed information" refers to data used to evaluate the recipient, such as the recipient's founding history, vision, financial information, and reviews from other donors.

[1407] "Payment" is the process of transferring donations to the donation recipient selected by the user.

[1408] "Receipt" means a document certifying receipt of a donation.

[1409] "Tax Form" means a document used when a donation is tax deductible.

[1410] A "pattern matching algorithm" is a computational method for identifying appropriate donation recipients based on a user's profile information and emotional information.

[1411] The present invention provides a system that allows users to select donation recipients based on their emotions and smoothly carry out donation activities. The system includes the following main components:

[1412] 1. User registration and profile creation

[1413] - User: A user downloads the smartphone app and creates a new account using an email address and password. They enter basic profile information such as their name, annual income, hobbies, and desired donation amount. The app also uses an emotion engine to recognize their real-time emotional state and add that information to their profile.

[1414] - Server: The input information is stored in a database on the server and registered as a user profile. Emotion information recognized by the emotion engine is also added to the profile.

[1415] 2. Recommendations for donation destinations

[1416] - Server: Based on the profile information and sentiment information, a pattern matching algorithm is used to recommend suitable donation destinations to the user. This algorithm takes into account the user's demographic, psychographic, geographic, and sentiment information.

[1417] - On the device: The user is presented with a list of recommended donations and can view detailed information about each one (history, vision, financial information, reviews from other donors, etc.).

[1418] 3. Making donations

[1419] - User: After confirming the details of the donation recipient, the user enters the amount to donate and enters payment information such as credit card information.

[1420] - Server: Sends payment information to an external payment platform and executes the donation transaction. Once the transaction is completed, a donation receipt is generated and sent to the user's email address.

[1421] - On your device: You will receive a confirmation message that your donation has been completed, along with a link to download your receipt.

[1422] 4. Tax return support

[1423] - Server: Retrieves user donation history from the database and automatically generates tax return documents.

[1424] - Server: The generated documents are sent to the user's email address so that they can be used when filing tax returns.

[1425] Hardware and software used

[1426] Hardware: Smartphone

[1427] Software: Python, Emotion Engine (emotion recognition software), external payment API, database management system (e.g., MySQL), email sending service (e.g., SendGrid)

[1428] Data processing and calculation flow

[1429] 1. User registration: The user enters basic information, which is then stored in a database.

[1430] 2. Emotion Recognition: The emotion engine analyzes and recognizes the user's real-time emotions and adds the results to their profile.

[1431] 3. Donation recommendation: The recommendation system will select appropriate donation destinations based on profile information and emotional data.

[1432] 4. Donation Processing: When a user initiates the donation process, a secure payment is processed via an external payment API and the donation history is recorded in the database.

[1433] 5. Tax return generation: Pull donation history from the database, automatically generate tax return documents, and email them to the user.

[1434] Examples and prompts

[1435] Specific examples

[1436] User A downloads a smartphone app and creates an account. A has a deep interest in "environmental protection," sets his annual income at 10 million yen, and sets his desired donation amount at 200,000 yen per year. The emotion engine recognizes that A is in a state of "empathy" and "excitement." The server recommends multiple donation destinations (e.g., environmental protection organizations) based on A's profile information and emotion information. After checking the details of each organization, A decides to donate 100,000 yen to an environmental protection organization. The server processes the payment and sends a receipt and confirmation message to A. In addition, tax return documents are automatically generated and sent to A's email address.

[1437] Prompt Sentence Examples

[1438] When registering: "Please begin the registration process by entering your email address, password, and basic profile information."

[1439] Emotion recognition: "Please face the camera and we'll recognize your emotion."

[1440] When recommending donation destinations: "We will recommend the best donation destinations for you. Please see the list below."

[1441] When donating: "Enter the amount you would like to donate and enter your payment information. Once payment is complete, we will email you a receipt."

[1442] When generating tax return documents: "We will automatically generate tax return documents and send them to you by email once they are complete."

[1443] In this way, the present invention is a system that recommends optimal donation recipients based on a detailed profile including the user's emotional information, and supports smooth donation activities.

[1444] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1445] Step 1:

[1446] Input: A user downloads the smartphone app and registers their email address and password.

[1447] Specific behavior:

[1448] The user launches the smartphone app and taps the "New Registration" button.

[1449] Users enter information such as their email address, password, name, annual income, hobbies, and desired donation amount.

[1450] Data processing or data calculation:

[1451] The emotion engine scans the user's face with a camera and recognizes their real-time emotional state.

[1452] Output: Basic profile information and emotion information are generated and stored in the server database.

[1453] Step 2:

[1454] Input: User profile information (demographic, psychographic, geographic, and emotional information).

[1455] Specific behavior:

[1456] The server retrieves the user's profile information from a database.

[1457] Data processing or data calculation:

[1458] A pattern matching algorithm is used to identify donation destinations that match profile information and sentiment information.

[1459] Output: A list of the best donation destinations for the user is generated.

[1460] Step 3:

[1461] Input: A list of donation recipients and their details.

[1462] Specific behavior:

[1463] The server retrieves details about the recipient (history, vision, financial information, reviews from other donors) from a database.

[1464] A list of recommended donation recipients is sent to the user terminal.

[1465] Data processing or data calculation:

[1466] Format the details of each donation recipient in a user-friendly format.

[1467] Output: Details of the recommended donations are displayed on the user's smartphone.

[1468] Step 4:

[1469] Input: The donation recipient and donation amount selected by the user.

[1470] Specific behavior:

[1471] The user confirms the details of the donation recipient and enters the amount to be donated.

[1472] The user enters their credit card information.

[1473] Data processing or data calculation:

[1474] Send payment information to an external payment platform to process your donation.

[1475] Output: Payment completion information and a donation receipt are generated.

[1476] Step 5:

[1477] Input: Payment information and donation history.

[1478] Specific behavior:

[1479] The server retrieves the donation history from the database.

[1480] Once payment is complete, a donation receipt will be sent to the user's email address.

[1481] Data processing or data calculation:

[1482] Automatically generate tax return documents based on donation history.

[1483] Output: Tax return documents are generated and provided to the user.

[1484] As a result, the present invention provides a system that recommends optimal donation recipients based on a detailed profile including the user's emotional information, and supports smooth donation activities.

[1485] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1486] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1487] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1488] [Fourth embodiment]

[1489] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1490] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1491] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1492] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1493] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1494] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1495] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1496] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1497] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1498] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1499] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1500] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1501] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1502] The present invention provides a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. This system is implemented through the following steps.

[1503] 1. User registration and profile creation

[1504] User:

[1505] Users access the system and first create an account. They can easily create an account using their email address and password. At this stage, users enter basic profile information (name, annual income, hobbies, areas of interest, desired donation amount, etc.).

[1506] server:

[1507] The entered information is saved on the server and registered in a database as the user's profile.

[1508] 2. Recommendations for donation destinations

[1509] server:

[1510] Based on the profile information, a pattern matching algorithm is used to recommend suitable donation destinations to the user. The algorithm considers the user's demographic, psychographic, and geographic information to extract the most suitable donation destinations from a database of donation destinations.

[1511] Device:

[1512] The user is presented with a list of recommended donation recipients, with detailed information about each one, including its history, vision, financial information, ratings, and reviews from other donors.

[1513] 3. Evaluation and confirmation of donation recipients

[1514] User:

[1515] Users can view the list of recipients provided by the system and check detailed information about each recipient, including their history, vision, financial information, and reviews from other donors, to select the most trustworthy recipient.

[1516] 4. Making donations

[1517] User:

[1518] Once the user has decided on the donation recipient, they enter the amount they wish to donate and payment information such as credit card information.

[1519] server:

[1520] The payment information is sent to an external payment platform to process the donation. Once the payment is complete, a donation receipt is generated and sent to the user's email address.

[1521] Device:

[1522] A confirmation message will be displayed with a link to download your receipt.

[1523] 5. Tax return assistance

[1524] server:

[1525] The system retrieves the user's donation history from a database and automatically generates tax return documents.

[1526] server:

[1527] The generated documents are sent to the user's email address so that they can be used when filing their tax return.

[1528] Specific examples

[1529] User A accessed the system and created an account. A expressed a deep interest in "environmental protection," set an annual income of 10 million yen, and set a desired annual donation amount of 200,000 yen. Based on A's profile information, the server recommended several donation destinations (e.g., environmental protection organizations A, B, and C). After checking the detailed information of each organization, A decided to donate to environmental protection organization B and donated 100,000 yen. The server processed the payment, generated a receipt, and sent it to A. It also automatically generated tax return documents and sent them to A's email address.

[1530] In this way, this system is designed to allow users to easily choose the donation recipient that best suits them and carry out donation activities smoothly. It also ensures transparency of donation recipients, providing an environment where users can donate with peace of mind.

[1531] The processing flow will be explained below.

[1532] Program processing flow

[1533] 1. User registration and profile creation

[1534] Step 1:

[1535] User: Visits the system's website or app and clicks the "Create Account" button.

[1536] Step 2:

[1537] Device: Display the account creation form.

[1538] Step 3:

[1539] User: Enter your name, email address and password and click the "Register" button.

[1540] Step 4:

[1541] Terminal: Check the information you entered for omissions or errors.

[1542] Step 5:

[1543] Server: Stores the registration information in a database and sends a confirmation email to the user.

[1544] Step 6:

[1545] Users: Click the verification link they received in their email and log in again.

[1546] Step 7:

[1547] Device: Display a form to enter profile information.

[1548] Step 8:

[1549] User: Enter profile information such as annual income, hobbies, areas of interest, desired donation amount, etc., and click the "Save" button.

[1550] Step 9:

[1551] Terminal: Check the information you entered for omissions or errors.

[1552] Step 10:

[1553] Server: Stores profile information in a database.

[1554] 2. Recommendations for donation destinations

[1555] Step 1:

[1556] Server: Retrieves the logged-in user's profile information from the database.

[1557] Step 2:

[1558] Server: Searches for donation recipients based on profile information using a pattern matching algorithm.

[1559] Step 3:

[1560] Server: Compares the profile information against a database of donors and generates a list of matching donors.

[1561] Step 4:

[1562] Server: Collects details about the donor, including their history, vision, financials, ratings, and reviews from other donors.

[1563] Step 5:

[1564] Device: Transforms the recommendation results into HTML or app view format to present to the user.

[1565] Step 6:

[1566] Device: Display the recommendation results to the user.

[1567] 3. Evaluation and confirmation of donation recipients

[1568] Step 1:

[1569] User: Check the recommendation results sent from the server.

[1570] Step 2:

[1571] On your device: View detailed information for each donation recipient.

[1572] Step 3:

[1573] Users: View information about each recipient, including its history, vision, financials, and donor reviews.

[1574] Step 4:

[1575] User: Decide where to donate and click the "Donate" button.

[1576] 4. Making donations

[1577] Step 1:

[1578] Device: Display the donation amount input screen.

[1579] Step 2:

[1580] User: Enter the amount you would like to donate and click the "Next" button.

[1581] Step 3:

[1582] Terminal: Display the payment information input screen.

[1583] Step 4:

[1584] User: Enters credit card information and clicks the "Make Donation" button.

[1585] Step 5:

[1586] Server: Sends payment information to an external payment platform.

[1587] Step 6:

[1588] Server: Receives confirmation of payment completion and confirms receipt of donation.

[1589] Step 7:

[1590] Server: Generates donation receipts and emails them to users.

[1591] Step 8:

[1592] On your device: A confirmation message will appear confirming your donation, along with a link to download your receipt.

[1593] 5. Tax return assistance

[1594] Step 1:

[1595] Server: Retrieve the user's donation history from the database.

[1596] Step 2:

[1597] Server: Automatically generate tax return documents based on donation history.

[1598] Step 3:

[1599] Server: Sends the generated document to the user's email address.

[1600] Step 4:

[1601] User: Download the documents received by email and use them when filing your tax return.

[1602] Example 1

[1603] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1604] The present invention relates to a system that allows donors to quickly and easily select the most suitable donation recipient from multiple recipients, enabling smooth donation activities. It also aims to ensure the transparency of donations and provide an environment in which users can donate with peace of mind. To achieve this, it is necessary to recommend the most suitable donation recipient based on the user's profile information, provide detailed information about the donation recipient, and automate donation settlement and the generation of receipts and tax return documents.

[1605] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1606] In this invention, the server includes means for generating a profile including demographic information, psychographic information, and geographic information of the user, means for recommending donation destinations based on the generated profile information, means for displaying detailed information about the recommended donation destinations, means for executing donation settlement to the donation destination selected by the user, means for generating and providing a donation receipt and tax return documents to the user, and means for displaying a download link for the receipt after the donation. This allows users to easily select the donation destination that best suits them and make donations quickly in a manner that ensures transparency.

[1607] "Demographic information" is information that indicates statistical characteristics of a user, such as age, sex, occupation, and income.

[1608] "Psychographic information" is information that indicates psychological characteristics such as a user's hobbies, interests, and lifestyle.

[1609] "Geographic information" is information about the area or location where the user lives.

[1610] A "profile" is a collection of information that includes a user's personal attributes and interests.

[1611] A "pattern matching algorithm" is a computational method for analyzing a user's profile information and identifying appropriate donation destinations.

[1612] A "donation recipient" is an organization or group to which a user makes a donation.

[1613] "Detailed information" refers to specific information such as the organization's founding history, vision, financial information, and reviews from other donors.

[1614] "Settlement" refers to the process of paying the money required when a user makes a donation.

[1615] A "receipt" is a document that proves that a donation has been made.

[1616] "Tax Forms" means documents necessary for a User to claim tax deductions based on a Donation.

[1617] A "download link" is a URL that allows a user to obtain a document such as a receipt via the Internet.

[1618] MODE FOR CARRYING OUT THE INVENTION

[1619] The present invention relates to a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. Specific embodiments of the invention are described below.

[1620] Hardware and Software Use

[1621] The system uses the following hardware and software components:

[1622] Server: Has database management, algorithm execution, and email sending functions.

[1623] Terminal: The device that provides the user interface (PC, smartphone, tablet, etc.).

[1624] External payment platform: A system for processing credit card payments (e.g., Stripe, PayPal, etc.).

[1625] User registration and profile creation

[1626] A user accesses the system and clicks the Create Account button. The user enters an email address and password and presses the Register button. The server receives the entered information and creates a new user account in the database. After registration is complete, the server sends a confirmation email to the user.

[1627] Next, the user logs in and enters profile information such as name, annual income, hobbies, areas of interest, desired donation amount, etc. The server stores this information in a database, completing the user's profile.

[1628] Recommendations for donation destinations

[1629] The server then runs a pattern matching algorithm based on the stored user profile information to recommend the most suitable donation recipients. The algorithm considers the user's demographic, psychographic, and geographic information to extract suitable donation recipients from a donation recipient database.

[1630] The device displays a list of recommended recipients to the user, including details such as the recipient's history, vision, financial information, and reviews from other donors.

[1631] Donation recipient evaluation and confirmation

[1632] Users can view the list of recipients and click to view detailed information about each recipient, including their history, vision, financial information, and reviews from other donors.

[1633] Making donations

[1634] The user enters the donation amount and payment information such as credit card information. The server sends this payment information to an external payment platform and executes the donation payment. Once the payment is completed, the server generates a donation receipt and sends it to the user's email address.

[1635] The device will display a confirmation message that your donation has been completed, along with a link to download your receipt.

[1636] Tax return support

[1637] The server retrieves the user's donation history from the database and automatically generates tax return documents, which are then sent to the user's email address and used for filing their tax return.

[1638] Specific examples

[1639] User A accessed the system and created an account. A expressed a deep interest in "environmental protection," set an annual income of 10 million yen, and set a desired annual donation amount of 200,000 yen. Based on A's profile information, the server recommended several donation destinations (e.g., environmental protection organizations A, B, and C). After checking the detailed information of each organization, A decided to donate to environmental protection organization B and donated 100,000 yen. The server executed the payment through an external payment platform, generated a receipt, and sent it to A. Furthermore, the server generated tax return documents based on A's donation history and sent them to A's email address.

[1640] Prompt Sentence Examples

[1641] "Please explain the system that allows donors to easily select the appropriate donation recipient and smoothly carry out donation activities. Please include each step of the process: user registration, donation recipient recommendation, donation recipient evaluation and confirmation, donation execution, and tax return assistance."

[1642] This system is designed to allow users to easily choose the donation recipient that best suits them and carry out donation activities smoothly. It also ensures transparency of donation recipients, providing an environment where users can donate with peace of mind.

[1643] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1644] Step 1: User Registration

[1645] A user accesses the system and clicks the Create Account button. Next, they enter their email address and password and press the Register button. The server takes this as input and creates a new user account in the database. It sends a confirmation email based on the created account information. The terminal displays a message indicating that registration is complete.

[1646] Input: User's email address, password

[1647] Output: Account information stored in database, confirmation email sent

[1648] Step 2: Enter your profile information

[1649] The user logs in and enters their profile information such as name, annual income, hobbies, areas of interest, desired donation amount, etc. The server accepts this as input and stores it in a database. The device displays a message confirming that the profile information has been saved correctly.

[1650] Input: User's name, annual income, hobbies, areas of interest, desired donation amount

[1651] Output: Profile information stored in a database

[1652] Step 3: Recommend donation destinations

[1653] The server runs a pattern matching algorithm based on the stored profile information. This algorithm analyzes the user's demographic, psychographic, and geographic information to recommend appropriate donation recipients. Based on the analysis results, a donation list is generated and sent to the device.

[1654] Input: Profile information stored in the database

[1655] Output: A list of recommended donations

[1656] Step 4: View the donation list

[1657] The terminal receives the list of recommended recipients and displays it on the user interface. The list also includes detailed information about each recipient, such as their founding history, vision, financial information, and reviews from other donors. The user can view the list of recipients and their detailed information.

[1658] Input: Recommended Donation List

[1659] Output: A list of donation recipients and their details displayed in a user interface

[1660] Step 5: Select the donation recipient and enter the donation amount

[1661] The user selects the organization to which they wish to donate from the list of recipients and inputs the amount they wish to donate. The terminal receives this input and sends it to the server.

[1662] Input: User's chosen donation destination and donation amount

[1663] Output: Send the donation recipient and donation amount to the server

[1664] Step 6: Enter and submit payment information

[1665] The user enters payment information, such as credit card information. The server receives this information and sends it to an external payment platform to complete the payment. Once the payment is complete, the server generates a receipt and emails it to the user.

[1666] Input: User's credit card information, donation amount

[1667] Output: Sending payment information to an external payment platform, generating and emailing a receipt

[1668] Step 7: Confirm your donation and receive a link to download your receipt

[1669] The server confirms that the donation has been completed and notifies the device, which then displays a confirmation message and a link to download the receipt.

[1670] Input: Donation completion notification from the server

[1671] Output: Donation confirmation message, receipt download link

[1672] Step 8: Generate and submit tax forms

[1673] The server retrieves the user's donation history from the database, generates tax return documents, and sends the documents to the user's email address so that they can be used when filing their tax return.

[1674] Input: Donation history stored in database

[1675] Output: Generate and email tax return documents

[1676] (Application example 1)

[1677] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1678] The purpose of this invention is to provide a system that allows donors to easily select appropriate donation recipients and smoothly carry out donation activities. Conventional donation systems have limited information about donation recipients and complicated donation processes, making it difficult for users to make donations with peace of mind. In addition, the complicated procedures for filing tax returns after donations have placed a burden on users.

[1679] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1680] In this invention, the server includes means for generating a profile including demographic information, psychographic information, and geographic information of the user, means for recommending donation destinations based on the generated profile information, means for displaying detailed information about the recommended donation destinations, means for executing donation settlement to the donation destination selected by the user, means for generating donation receipts and tax return documents and providing them to the user, and means for automatically generating tax return documents based on the user's donation history. This not only enables donors to easily select appropriate donation destinations and make donations smoothly, but also simplifies tax return procedures.

[1681] "Demographic information" refers to demographic information such as a user's age, gender, income, and place of residence.

[1682] "Psychographic information" is information that represents a user's psychological and behavioral characteristics, such as hobbies, preferences, lifestyle, and values.

[1683] "Geographic information" is geographic information related to a user's place of residence or location.

[1684] A "profile" is information that represents an individual's characteristics and is generated by integrating a user's demographic information, psychographic information, and geographic information.

[1685] "Donation recipient" refers to the group or organization to which the user makes a donation.

[1686] "Recommendation" refers to selecting and suggesting the most suitable donation destination based on the user's profile information.

[1687] "Detailed information" includes information such as the organization's founding history, vision, financial information, and reviews from other donors.

[1688] "Settlement" refers to the series of processes for paying donations to the donation recipient selected by the user.

[1689] A "receipt" is a receipt issued when a user makes a donation.

[1690] "Tax Return Forms" means documents required to claim tax deductions based on donations.

[1691] A "generative AI model" is an artificial intelligence model for generating donation recommendation prompts.

[1692] A "prompt" is a sentence created by a generative AI model to encourage users to donate.

[1693] The system of the present invention allows donors to select appropriate donation recipients and smoothly carry out donation activities. This system is based on the following steps: user registration, profile creation, donation recipient recommendations, donation recipient evaluation and confirmation, donation execution, and tax return support.

[1694] First, the server provides a means to generate a profile containing the user's demographic, psychographic, and geographic information. When a user accesses the system and enters their basic information (such as name, annual income, hobbies, areas of interest, and desired donation amount), the information is sent to the server and stored in a database.

[1695] Next, the server uses a pattern matching algorithm and generative AI model to identify and recommend suitable donation recipients based on the generated profile information. The server also provides a means to display detailed information about the recommended donation recipients (such as their founding history, vision, financial information, and reviews from other donors).

[1696] Users can view a list of donation recipients provided by the system, review and rate the details of each recipient, and select the most trustworthy one. After making a selection, users enter the amount they wish to donate and payment information such as credit card information. The server sends the payment information to an external payment platform (e.g., Stripe) and completes the donation payment. Once the payment is complete, a donation receipt is generated and sent to the user's email address and device.

[1697] In addition, the server provides a means for automatically generating tax return documents based on the user's donation history. The generated documents are sent to the user's email address and can be used for filing tax returns.

[1698] As an example of this system, use the following prompt:

[1699] "Users can choose a donation destination, make a donation to a specific environmental organization, and easily receive a receipt along with tax return documents."

[1700] This invention not only allows donors to select the appropriate recipient and make their donation smoothly, but also simplifies the procedures for filing tax returns. By using this system, users can make donations with peace of mind and efficiently complete subsequent procedures.

[1701] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1702] Step 1:

[1703] A user accesses the system and registers an account. They enter information such as their name, annual income, hobbies, areas of interest, and the amount they wish to donate. The entered information is sent from the device to the server and stored in a database on the server. The input data is in text format, and the server converts it into structured data and stores it as profile information.

[1704] Step 2:

[1705] The server uses a pattern matching algorithm based on the user's profile information to identify and recommend suitable donation recipients. The algorithm considers the user's demographic, psychographic, and geographic information to select the most suitable donation recipients from a database of donation recipients. This list of selected donation recipients is generated as a recommendation result and sent to the device.

[1706] Step 3:

[1707] The user checks the list of donation recipients provided by the server through their device. Detailed information about each recipient (history of establishment, vision, financial information, reviews from other donors, etc.) is displayed. Based on the displayed information, the user selects a donation recipient. The selected information is then sent from the device to the server.

[1708] Step 4:

[1709] The server processes the payment of the donation to the recipient selected by the user. The donation amount and credit card information entered by the user are sent to the server, which then sends it to an external payment platform (e.g., Stripe). If the payment is successful, the server receives a notification of payment completion and stores the donation information in a database. Payment information is handled in encrypted form.

[1710] Step 5:

[1711] The server automatically generates a donation receipt and tax return documents. Based on the donation information, the documents are generated in the appropriate format and sent to the user's email address. This document generation process uses a generative AI model, which also generates a prompt. The generated prompt notifies the user that the donation has been completed and includes instructions on next steps.

[1712] Step 6:

[1713] The user can review the documents and download the receipt and tax return documents. The downloaded documents are provided in PDF format and can be used immediately for tax returns. Specifically, the user is prompted to "select a donation recipient, make a donation to a specific environmental protection organization, and easily receive tax return documents along with a receipt."

[1714] This process allows users to smoothly make donations through the system and easily file tax returns.

[1715] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1716] This invention is a system designed to enable individuals and businesses to easily find donation recipients and smoothly carry out donation activities. Furthermore, by combining an emotion engine that recognizes the user's emotions, the system reflects the user's emotional state in the donation process, providing a more personalized donation experience. This system is implemented through the following steps:

[1717] 1. User registration and profile creation

[1718] User:

[1719] A user accesses the system and creates an account. This is easy, using an email address and password. At this stage, the user enters basic profile information (such as name, annual income, hobbies, areas of interest, and desired donation amount). The system also uses an emotion engine to recognize the user's emotional state and adds that information to their profile.

[1720] server:

[1721] The input information is saved on the server and registered in the database as a user profile, including emotional information recognized by the emotion engine.

[1722] 2. Recommendations for donation destinations

[1723] server:

[1724] Based on the profile information, a pattern-matching algorithm is used to recommend suitable donation destinations to the user, taking into account the user's demographic, psychographic, and geographic information, as well as emotional information recognized by an emotion engine.

[1725] Device:

[1726] The user is presented with a list of recommended donation recipients, with detailed information about each one, including its history, vision, financial information, ratings, and reviews from other donors.

[1727] 3. Evaluation and confirmation of donation recipients

[1728] User:

[1729] Users can view the list of recipients provided by the system and check detailed information about each recipient, including their history, vision, financial information, and reviews from other donors, to select the most trustworthy recipient.

[1730] 4. Making donations

[1731] User:

[1732] Once the user has decided on the donation recipient, they enter the amount they wish to donate and payment information such as credit card information.

[1733] server:

[1734] The payment information is sent to an external payment platform to process the donation. Once the payment is complete, a donation receipt is generated and sent to the user's email address.

[1735] Device:

[1736] A confirmation message will be displayed with a link to download your receipt.

[1737] 5. Tax return assistance

[1738] server:

[1739] The system retrieves the user's donation history from a database and automatically generates tax return documents.

[1740] server:

[1741] The generated documents are sent to the user's email address so that they can be used when filing their tax return.

[1742] Specific examples

[1743] For example, suppose user A accesses the system and creates an account. A has a deep interest in "environmental protection," sets his annual income at 10 million yen, and sets his desired donation amount at 200,000 yen per year. The emotion engine recognizes that A is in a state of "empathy" and "excitement." Based on A's profile information and emotion information, the server recommends multiple donation destinations (e.g., environmental protection organizations A, B, and C). After checking the details of each organization, A decides to donate 100,000 yen to environmental protection organization B. The server processes the payment and sends a receipt and a confirmation message to A. In addition, it automatically generates tax return documents and sends them to A's email address.

[1744] In this way, this system recommends optimal donation recipients based on a detailed profile of the user, including their emotional information, and supports smooth donation activities. It also ensures transparency in donation recipients, providing an environment where users can donate with peace of mind.

[1745] The processing flow will be explained below.

[1746] Program processing flow

[1747] 1. User registration and profile creation

[1748] Step 1:

[1749] User: Visits the system's website or app and clicks the "Create Account" button.

[1750] Step 2:

[1751] Device: Display the account creation form.

[1752] Step 3:

[1753] User: Enter your name, email address and password and click the "Register" button.

[1754] Step 4:

[1755] Terminal: Check the information you entered for omissions or errors.

[1756] Step 5:

[1757] Server: Stores the registration information in a database and sends a confirmation email to the user.

[1758] Step 6:

[1759] Users: Click the verification link they received in their email and log in again.

[1760] Step 7:

[1761] Device: Display a form to enter profile information.

[1762] Step 8:

[1763] User: Enter profile information such as annual income, hobbies, areas of interest, desired donation amount, etc., and click the "Save" button.

[1764] Step 9:

[1765] Device: Activate the user's webcam or microphone and start the emotion engine.

[1766] Step 10:

[1767] Emotion engine: Analyzes the user's facial expressions or voice to recognize their emotional state.

[1768] Step 11:

[1769] Server: Adds the recognized emotion information to a profile and stores it in a database.

[1770] 2. Recommendations for donation destinations

[1771] Step 1:

[1772] Server: Retrieves the logged-in user's profile information from the database.

[1773] Step 2:

[1774] Server: Searches for donation recipients using a pattern matching algorithm based on the user's profile information and sentiment information.

[1775] Step 3:

[1776] Server: Compares the profile information against a database of donors and generates a list of matching donors.

[1777] Step 4:

[1778] Server: Collects details about the donor, including their history, vision, financials, ratings, and reviews from other donors.

[1779] Step 5:

[1780] Device: Transforms the recommendation results into HTML or app view format to present to the user.

[1781] Step 6:

[1782] Device: Display the recommendation results to the user.

[1783] 3. Evaluation and confirmation of donation recipients

[1784] Step 1:

[1785] User: Check the recommendation results sent from the server.

[1786] Step 2:

[1787] On your device: View detailed information for each donation recipient.

[1788] Step 3:

[1789] Users: View information about each recipient, including its history, vision, financials, and donor reviews.

[1790] Step 4:

[1791] User: Decide where to donate and click the "Donate" button.

[1792] 4. Making donations

[1793] Step 1:

[1794] Device: Display the donation amount input screen.

[1795] Step 2:

[1796] User: Enter the amount you would like to donate and click the "Next" button.

[1797] Step 3:

[1798] Terminal: Display the payment information input screen.

[1799] Step 4:

[1800] User: Enters credit card information and clicks the "Make Donation" button.

[1801] Step 5:

[1802] Server: Sends payment information to an external payment platform.

[1803] Step 6:

[1804] Server: Checks whether the payment has been completed and confirms receipt of the donation.

[1805] Step 7:

[1806] Server: Generates donation receipts and emails them to users.

[1807] Step 8:

[1808] On your device: A confirmation message will appear confirming your donation, along with a link to download your receipt.

[1809] 5. Tax return assistance

[1810] Step 1:

[1811] Server: Retrieve the user's donation history from the database.

[1812] Step 2:

[1813] Server: Automatically generate tax return documents based on donation history.

[1814] Step 3:

[1815] Server: Sends the generated document to the user's email address.

[1816] Step 4:

[1817] User: Download the documents received by email and use them when filing your tax return.

[1818] Example 2

[1819] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1820] Traditional donation systems limit the information available to users when searching for donation recipients, making it difficult for them to make a donation decision. They also recommend donation recipients based solely on simple demographic and psychographic information, without taking into account the user's emotional state, resulting in a poorly personalized donation experience. Furthermore, the donation payment process, receipt provision, and tax return support are all separate, resulting in an inconsistent user experience.

[1821] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1822] In this invention, the server includes a means for generating a profile including demographic information, psychographic information, geographic information, and emotional information of the user, a means for recommending donation destinations based on the generated profile information and emotional information, and a means for displaying detailed information about the recommended donation destinations. This allows users to easily find the optimal donation destination based on their emotional state and interests, allowing them to make a smooth decision to donate. Furthermore, transparent information about donation destinations allows users to make donations with peace of mind.

[1823] "Demographic Information" refers to demographic data such as a user's age, gender, occupation, and income.

[1824] "Psychographic information" refers to psychological characteristics such as a user's hobbies, interests, lifestyle, and values.

[1825] "Geographic Information" refers to data about a user's place of residence or geographic location.

[1826] "Emotional information" refers to data regarding a user's emotional state detected using an emotion engine.

[1827] "Profile" refers to the integration of a user's demographic, psychographic, geographic, and emotional information.

[1828] "Pattern matching algorithm" refers to a computational method for identifying appropriate donation destinations based on a user's profile information.

[1829] "Donation Destination" refers to organizations or projects to which users can make donations.

[1830] "Detailed information" refers to information about the recipient, such as its founding history, vision, financial information, and reviews from other donors.

[1831] "Payment Information" refers to credit card information and other payment method data required when a user makes a donation.

[1832] "Receipt" refers to a document that proves that a donation has been made.

[1833] "Tax Return Form" means a document for use by a User when filing a tax return for a Donation.

[1834] The present invention is a system designed to enable individuals and organizations to easily find donation recipients and efficiently donate. The system includes a means for generating a profile containing a user's demographic, psychographic, geographic, and emotional information, a means for displaying detailed information about recommended donation recipients, a means for executing the settlement of donations to the donation recipient selected by the user, and a means for generating and providing donation receipts and tax return documents to the user. To achieve this, the involvement of a server, terminals, and users is important.

[1835] User:

[1836] First, a user accesses the system's website or application and creates an account by entering an email address and password. Once an account is created, a form is displayed for entering basic profile information such as name, annual income, hobbies, areas of interest, and desired donation amount. The user can also input their current emotional state using the emotion engine and add this information to their profile. Specifically, the user inputs emotional data through the camera or microphone.

[1837] server:

[1838] The server receives the information entered by the user and stores it in a database. At the same time, it also analyzes the emotional data provided by the emotion engine and adds it to the profile in an appropriate format. The server then runs a pattern matching algorithm based on the user's demographic, psychographic, geographic, and emotional information. This allows it to recommend the most suitable donation destination for the user. The recommendation algorithm includes a function for comprehensively analyzing the user's data.

[1839] Device:

[1840] The device displays a list of recipients based on the user's profile information. This list includes details about each recipient, such as its history, vision, financial information, and reviews from other donors. When the user selects a recipient, the recipient's details page is displayed, providing additional information (e.g., recent activity reports, spending reports, etc.).

[1841] User:

[1842] The user checks the details of the donation recipients displayed and selects the most trustworthy one. After selecting, the user enters the donation amount and payment information such as credit card information. Once the user has decided to donate, they click the "Donate" button.

[1843] server:

[1844] The server sends the entered payment information to an external payment platform and executes the donation payment. If the payment is successful, a donation receipt is generated and sent to the user's email address. In addition, tax return documents are automatically generated based on the donation history and sent to the user's email address.

[1845] Device:

[1846] The terminal will display a donation success message along with a receipt download link, which the user can use to download the receipt.

[1847] Specific examples

[1848] For example, suppose user A accesses the system, creates an account, and specifies that he or she is deeply interested in "environmental protection," has an annual income of 10 million yen, and wishes to donate 200,000 yen per year. The emotion engine recognizes that user A is in a state of "empathy" and "excitement." The server then runs a pattern matching algorithm based on this information to recommend multiple donation destinations (e.g., environmental protection organizations A, B, and C). User A checks the details of these donation destinations through his or her device and decides to donate 100,000 yen to environmental protection organization B. User A enters his or her credit card information and makes the donation. The server processes the payment, generates a receipt, and sends it to user A's email address. Furthermore, tax return documents are automatically generated and sent to user A's email address. An example of a prompt sentence is, "Based on my emotional state, please recommend a donation destination related to the theme of 'environmental protection,' which I've been interested in recently."

[1849] As a result, the present invention recommends optimal donation recipients taking into consideration the user's emotional information, supporting smooth donation activities. It also ensures transparency in donation recipients, providing an environment where donations can be made safely and with peace of mind.

[1850] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1851] Step 1:

[1852] User:

[1853] A user visits the system's website or application and clicks the "Sign Up" button. Next, they enter their email address and password, as well as other basic profile information (such as their name, annual income, hobbies, areas of interest, and desired donation amount). They also use an emotion engine to input their current emotional state and add it to their profile. The input data includes the user's personal information and emotional information.

[1854] server:

[1855] The server stores the information received from the user in a database. It also analyzes and stores the emotional data provided by the emotion engine. It stores the input data in the database as structured data and generates a profile.

[1856] Device:

[1857] The terminal displays a form for the user to enter information, and if registration is successful, displays a "Registration complete" message and redirects the user to the dashboard. The output data includes a registration confirmation.

[1858] Step 2:

[1859] server:

[1860] The server applies a pattern matching algorithm based on the user's profile information and emotion information to analyze the user's data and identify the most suitable donation recipients. Using the profile information and emotion information as input data, it generates a list of suitable donation recipients as output data.

[1861] Device:

[1862] The terminal displays the list of donation recipients received from the server to the user. The list includes detailed information about each donation recipient (foundation history, vision, financial information, ratings, and reviews from other donors). The list of donation recipients and their detailed information are displayed on the screen as output data.

[1863] Step 3:

[1864] User:

[1865] The user checks the list of donation recipients displayed on the device and views their detailed information. Using the displayed information, the user selects the most trustworthy donation recipient. The input data includes the recipient's rating information.

[1866] Device:

[1867] When the user selects a donation recipient, a detailed information page for that recipient is displayed. Additional information (recent activity reports, use reports, etc.) is also displayed to help the user make a donation decision. The detailed information page is displayed on the screen as output data.

[1868] Step 4:

[1869] User:

[1870] The user inputs the donation amount and payment information, such as credit card information. Then, they click the "Donate" button. The input data includes the donation amount and payment information.

[1871] server:

[1872] The server sends the payment information entered by the user to an external payment platform to complete the donation transaction. If the transaction is successful, a donation receipt is generated and sent to the user's email address. The payment information is used as input data, and the receipt is generated as output data.

[1873] Device:

[1874] The terminal will display a success message along with a link to download the receipt. The user can download the receipt from this link. The output data will include the success message and the receipt download link.

[1875] Step 5:

[1876] server:

[1877] The server retrieves the user's donation history from the database and automatically generates tax return documents, which include details such as the donation recipient, donation amount, and donation date and time. The donation history is used as input data, and the tax return documents are generated as output data.

[1878] server:

[1879] The generated tax return form is sent to the user's email address. The user can use this document to file their tax return. The tax return form is sent as output data by email.

[1880] (Application example 2)

[1881] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1882] In modern society, many people are interested in donating, but finding the right donation recipients and completing the donation process smoothly can be difficult. Providing a personalized donation experience based on individual emotions and interests has long been a challenge. To address these challenges, the present invention aims to provide a system that recommends donation recipients and streamlines donation activities based on a detailed profile of the user, including emotional information.

[1883] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for generating a profile including demographic information, psychographic information, geographic information, and emotional information of the user, means for recommending donation destinations based on the generated profile information and emotional information, and means for displaying detailed information about the recommended donation destinations. This makes it possible to provide optimal donation destinations while reflecting the user's emotional state. In addition, by including means for executing donation settlement and means for generating and providing donation receipts and tax return documents to the user, the entire donation process can be carried out seamlessly and efficiently.

[1884] "User" means an individual or corporation that uses the system to carry out donation activities.

[1885] "Demographic information" refers to information about a user's demographics, such as age, gender, annual income, and place of residence.

[1886] "Psychographic information" is information about a user's psychological and behavioral characteristics, such as hobbies, preferences, values, and lifestyle.

[1887] "Geographic information" is geographic information such as the user's place of residence or the location of the donation recipient.

[1888] "Emotion information" is information about the user's emotional state (for example, empathy, excitement, relief, etc.).

[1889] A "profile" is a set of information that integrates a user's demographic, psychographic, geographic, and emotional information.

[1890] A "donation recipient" is an organization or project to which a user makes a donation.

[1891] An "emotion engine" is a system that recognizes the user's emotional state and generates information about it.

[1892] "Recommendation" refers to presenting appropriate donation destinations based on the user's profile information and emotional information.

[1893] "Detailed information" refers to data used to evaluate the recipient, such as the recipient's founding history, vision, financial information, and reviews from other donors.

[1894] "Payment" is the process of transferring donations to the donation recipient selected by the user.

[1895] "Receipt" means a document certifying receipt of a donation.

[1896] "Tax Form" means a document used when a donation is tax deductible.

[1897] A "pattern matching algorithm" is a computational method for identifying appropriate donation recipients based on a user's profile information and emotional information.

[1898] The present invention provides a system that allows users to select donation recipients based on their emotions and smoothly carry out donation activities. The system includes the following main components:

[1899] 1. User registration and profile creation

[1900] - User: A user downloads the smartphone app and creates a new account using an email address and password. They enter basic profile information such as their name, annual income, hobbies, and desired donation amount. The app also uses an emotion engine to recognize their real-time emotional state and add that information to their profile.

[1901] - Server: The input information is stored in a database on the server and registered as a user profile. Emotion information recognized by the emotion engine is also added to the profile.

[1902] 2. Recommendations for donation destinations

[1903] - Server: Based on the profile information and sentiment information, a pattern matching algorithm is used to recommend suitable donation destinations to the user. This algorithm takes into account the user's demographic, psychographic, geographic, and sentiment information.

[1904] - On the device: The user is presented with a list of recommended donations and can view detailed information about each one (history, vision, financial information, reviews from other donors, etc.).

[1905] 3. Making donations

[1906] - User: After confirming the details of the donation recipient, the user enters the amount to donate and enters payment information such as credit card information.

[1907] - Server: Sends payment information to an external payment platform and executes the donation transaction. Once the transaction is completed, a donation receipt is generated and sent to the user's email address.

[1908] - On your device: You will receive a confirmation message that your donation has been completed, along with a link to download your receipt.

[1909] 4. Tax return support

[1910] - Server: Retrieves user donation history from the database and automatically generates tax return documents.

[1911] - Server: The generated documents are sent to the user's email address so that they can be used when filing tax returns.

[1912] Hardware and software used

[1913] Hardware: Smartphone

[1914] Software: Python, Emotion Engine (emotion recognition software), external payment API, database management system (e.g., MySQL), email sending service (e.g., SendGrid)

[1915] Data processing and calculation flow

[1916] 1. User registration: The user enters basic information, which is then stored in a database.

[1917] 2. Emotion Recognition: The emotion engine analyzes and recognizes the user's real-time emotions and adds the results to their profile.

[1918] 3. Donation recommendation: The recommendation system will select appropriate donation destinations based on profile information and emotional data.

[1919] 4. Donation Processing: When a user initiates the donation process, a secure payment is processed via an external payment API and the donation history is recorded in the database.

[1920] 5. Tax return generation: Pull donation history from the database, automatically generate tax return documents, and email them to the user.

[1921] Examples and prompts

[1922] Specific examples

[1923] User A downloads a smartphone app and creates an account. A has a deep interest in "environmental protection," sets his annual income at 10 million yen, and sets his desired donation amount at 200,000 yen per year. The emotion engine recognizes that A is in a state of "empathy" and "excitement." The server recommends multiple donation destinations (e.g., environmental protection organizations) based on A's profile information and emotion information. After checking the details of each organization, A decides to donate 100,000 yen to an environmental protection organization. The server processes the payment and sends a receipt and confirmation message to A. In addition, tax return documents are automatically generated and sent to A's email address.

[1924] Prompt Sentence Examples

[1925] When registering: "Please begin the registration process by entering your email address, password, and basic profile information."

[1926] Emotion recognition: "Please face the camera and we'll recognize your emotion."

[1927] When recommending donation destinations: "We will recommend the best donation destinations for you. Please see the list below."

[1928] When donating: "Enter the amount you would like to donate and enter your payment information. Once payment is complete, we will email you a receipt."

[1929] When generating tax return documents: "We will automatically generate tax return documents and send them to you by email once they are complete."

[1930] In this way, the present invention is a system that recommends optimal donation recipients based on a detailed profile including the user's emotional information, and supports smooth donation activities.

[1931] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1932] Step 1:

[1933] Input: A user downloads the smartphone app and registers their email address and password.

[1934] Specific behavior:

[1935] The user launches the smartphone app and taps the "New Registration" button.

[1936] Users enter information such as their email address, password, name, annual income, hobbies, and desired donation amount.

[1937] Data processing or data calculation:

[1938] The emotion engine scans the user's face with a camera and recognizes their real-time emotional state.

[1939] Output: Basic profile information and emotion information are generated and stored in the server database.

[1940] Step 2:

[1941] Input: User profile information (demographic, psychographic, geographic, and emotional information).

[1942] Specific behavior:

[1943] The server retrieves the user's profile information from a database.

[1944] Data processing or data calculation:

[1945] A pattern matching algorithm is used to identify donation destinations that match profile information and sentiment information.

[1946] Output: A list of the best donation destinations for the user is generated.

[1947] Step 3:

[1948] Input: A list of donation recipients and their details.

[1949] Specific behavior:

[1950] The server retrieves details about the recipient (history, vision, financial information, reviews from other donors) from a database.

[1951] A list of recommended donation recipients is sent to the user terminal.

[1952] Data processing or data calculation:

[1953] Format the details of each donation recipient in a user-friendly format.

[1954] Output: Details of the recommended donations are displayed on the user's smartphone.

[1955] Step 4:

[1956] Input: The donation recipient and donation amount selected by the user.

[1957] Specific behavior:

[1958] The user confirms the details of the donation recipient and enters the amount to be donated.

[1959] The user enters their credit card information.

[1960] Data processing or data calculation:

[1961] Send payment information to an external payment platform to process your donation.

[1962] Output: Payment completion information and a donation receipt are generated.

[1963] Step 5:

[1964] Input: Payment information and donation history.

[1965] Specific behavior:

[1966] The server retrieves the donation history from the database.

[1967] Once payment is complete, a donation receipt will be sent to the user's email address.

[1968] Data processing or data calculation:

[1969] Automatically generate tax return documents based on donation history.

[1970] Output: Tax return documents are generated and provided to the user.

[1971] As a result, the present invention provides a system that recommends optimal donation recipients based on a detailed profile including the user's emotional information, and supports smooth donation activities.

[1972] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1973] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1974] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1975] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1976] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1977] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1978] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1979] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1980] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1981] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1982] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1983] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1984] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1985] 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.

[1986] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1987] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1988] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1989] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1990] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1991] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1992] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1993] The following is further disclosed regarding the above embodiment.

[1994] (Claim 1)

[1995] means for generating a profile containing demographic, psychographic, and geographic information of the user;

[1996] means for recommending donation destinations based on the generated profile information;

[1997] a means to view detailed information about the recommended donation;

[1998] A means for executing a settlement of the donation to a donation recipient selected by the user;

[1999] means for generating and providing donation receipts and tax forms to users;

[2000] A system including:

[2001] (Claim 2)

[2002] 10. The system of claim 1, further comprising means for identifying appropriate donation destinations based on user profile information using a pattern matching algorithm.

[2003] (Claim 3)

[2004] 10. The system of claim 1, further comprising means for providing detailed information about the recipient of the donation, including history of the organization, vision, financial information, and reviews of other donors.

[2005] (Claim 4)

[2006] The system of claim 1, including a social networking and community function for promoting interaction between donors and with donor organizations.

[2007] (Claim 5)

[2008] 10. The system of claim 1, further comprising means for providing a rating of the recipient and presenting its performance.

[2009] (Claim 6)

[2010] 10. The system of claim 1, further comprising means for effecting payment of the donation through an external payment platform.

[2011] (Claim 7)

[2012] 10. The system of claim 1, further comprising means for providing accessibility that can be used by users regardless of their level of IT literacy.

[2013] "Example 1"

[2014] (Claim 1)

[2015] means for generating a profile containing demographic, psychographic, and geographic information of the user;

[2016] means for recommending donation destinations based on the generated profile information;

[2017] a means to view detailed information about the recommended donation;

[2018] A means for executing a settlement of the donation to a donation recipient selected by the user;

[2019] means for generating and providing donation receipts and tax forms to users;

[2020] A means to display a download link for the receipt after the donation,

[2021] A system including:

[2022] (Claim 2)

[2023] 10. The system of claim 1, further comprising means for identifying appropriate donation destinations based on user profile information using a pattern matching algorithm.

[2024] (Claim 3)

[2025] 10. The system of claim 1, further comprising means for providing detailed information about the recipient of the donation, including history of the organization, vision, financial information, and reviews of other donors.

[2026] "Application Example 1"

[2027] A version that adds application examples to the original claims

[2028] (Claim 1)

[2029] means for generating a profile containing demographic, psychographic, and geographic information of the user;

[2030] means for recommending donation destinations based on the generated profile information;

[2031] a means to view detailed information about the recommended donation;

[2032] A means for executing a settlement of the donation to a donation recipient selected by the user;

[2033] means for generating and providing donation receipts and tax forms to users;

[2034] means for automatically generating tax return documents based on a user's donation history;

[2035] A system including:

[2036] (Claim 2)

[2037] a means for identifying appropriate donation destinations based on user profile information using a pattern matching algorithm;

[2038] and a means for generating suggested donation prompts using a generative AI model;

[2039] 10. The system of claim 1, further comprising:

[2040] (Claim 3)

[2041] 10. The system of claim 1, further comprising means for providing detailed information about the recipient, including history of the organization, vision, financial information, and reviews of other donors.

[2042] "Example 2: Combining Emotion Engines"

[2043] (Claim 1)

[2044] means for generating a profile including demographic, psychographic, geographic, and emotional information of the user;

[2045] A means for recommending donation destinations based on the generated profile information and sentiment information;

[2046] a means to view detailed information about the recommended donation;

[2047] A means for executing a settlement of the donation to a donation recipient selected by the user;

[2048] means for generating and providing donation receipts and tax forms to users;

[2049] A system including:

[2050] (Claim 2)

[2051] 10. The system of claim 1, further comprising means for identifying appropriate donation destinations based on the user's profile information and sentiment information using a pattern matching algorithm.

[2052] (Claim 3)

[2053] 10. The system of claim 1, further comprising means for providing detailed information about the recipient of the donation, including history of the organization, vision, financial information, and reviews of other donors.

[2054] "Application example 2 when combining emotion engines"

[2055] (Claim 1)

[2056] means for generating a profile of the user including demographic, psychographic, geographic, and emotional information;

[2057] A means for recommending donation destinations based on the generated profile information and emotion information;

[2058] a means to view detailed information about the recommended donation;

[2059] A means for executing a settlement of the donation to a donation recipient selected by the user;

[2060] means for generating and providing donation receipts and tax forms to users;

[2061] A system including:

[2062] (Claim 2)

[2063] 10. The system of claim 1, further comprising means for identifying appropriate donation destinations based on the user's profile information and sentiment information using a pattern matching algorithm.

[2064] (Claim 3)

[2065] 10. The system of claim 1, further comprising means for providing detailed information about the recipient of the donation, including history of the organization, vision, financial information, and reviews of other donors. [Explanation of symbols]

[2066] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for generating a profile containing demographic, psychographic, and geographic information of the user; means for recommending donation destinations based on the generated profile information; a means to view detailed information about the recommended donation; A means for executing a settlement of the donation to a donation recipient selected by the user; means for generating and providing donation receipts and tax forms to users; A system including:

2. The system of claim 1 , further comprising means for identifying appropriate donation recipients based on user profile information using a pattern matching algorithm.

3. The system of claim 1 further comprising means for providing detailed information about the recipient of the donation, including the organization's history, vision, financial information, and reviews from other donors.

4. The system of claim 1 , further comprising a social networking / community function for promoting interaction between donors and donation organizations.

5. The system of claim 1 further comprising means for providing a rating of the recipient and presenting its performance.

6. The system of claim 1 , further comprising means for effecting payment of the donation through an external payment platform.

7. The system according to claim 1, further comprising a means for providing accessibility that can be used by users regardless of their level of IT literacy.

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