system

Abstract

Provide a system. An input means for inputting personal information; a transmitting means for transmitting the data input by the input means to a server; a storage means for storing the data transmitted by the transmission means in a database; A transcription means for automatically transcribing information into multiple document templates based on the saved data; an attaching means for attaching an electronic seal to the document transcribed by the transcribing means; A generating means for transmitting the generated document to a user terminal; A system including:

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] Administrative procedures related to weddings, funerals, and other ceremonies require applicants to repeatedly enter the same personal information on numerous application forms, resulting in significant time and effort for applicants. These procedures are even more difficult for physically disabled elderly people and single-child households. While taking time and effort to complete these documents, mistakes can occur, further increasing stress and burden. Traditional procedures do not fully utilize IT technology, and efficient and speedy procedures are needed. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides the following means. It includes an input means for inputting personal information, a transmission means for transmitting the input data to a server, and a storage means for saving the transmitted data in a database. It also includes a transcription means for automatically transcribing information to multiple document templates based on the stored data, an assignment means for applying an electronic seal to the transcribed documents, and a generation means for sending the generated documents to a user terminal. This allows users to efficiently create multiple documents by inputting information once, significantly reducing the effort and time required for document creation. Furthermore, by including a means for inputting corrections to the generated documents and a printing means using an online printing service, it is possible to further enhance user convenience.

[0006] "Personal information" refers to information that can identify a specific individual, such as name, date of birth, address, and telephone number.

[0007] "Input means" refers to the device or interface used by the user to input required information into the system.

[0008] "Transmission means" refers to the communication means or protocol for transmitting input data to the server.

[0009] "Storage means" refers to the system or function for securely storing transmitted data in a database.

[0010] "Transfer means" refers to a function that automatically reflects saved data in multiple document templates.

[0011] "Applying means" refers to the process or function that automatically applies an electronic seal to transcribed documents.

[0012] The "generation means" refers to a function that finally generates a document to which information has been transcribed and to which necessary electronic seals have been added, and transmits the document to the user terminal.

[0013] The "modification input means" refers to an interface or device that allows the user to modify the contents of the generated document as needed.

[0014] "Printing means" refers to a device or service that prints the generated document onto physical paper.

[0015] "Net printing service" refers to a service that allows you to send print data via the Internet and print it on affiliated printers in various locations.

[0016] "Electronic seal" refers to an electronic seal that is applied to a document using digital signature technology. [Brief explanation of the drawings]

[0017] [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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] This invention provides a system called "Application Immigration Kun" that automatically transfers information to multiple related documents with a single input, and generates documents by adding an electronic seal as needed, in order to streamline application procedures related to ceremonial occasions. Specific embodiments of this system are described below.

[0039] System configuration

[0040] 1. User Device

[0041] Users access "Application Bulk" using devices such as computers, smartphones, or tablets.

[0042] 2. Input Method

[0043] The user enters the necessary information (e.g., "Name of the deceased," "Date of birth," "Personal information of the applicant," etc.) through a web application on the terminal. This input method can be text input, drop-down menus, or handwriting input.

[0044] 3. Transmission Method

[0045] The terminal transmits the information entered by the user to the server using a secure protocol to ensure that the entered data is not lost or tampered with.

[0046] 4. Preservation means

[0047] The server stores the information sent from the terminal in a database. This storage method is equipped with appropriate data protection functions to provide high reliability and security.

[0048] 5. Transcription Method

[0049] The server automatically transcribes information into multiple document templates based on the stored data, ensuring that each document accurately contains the required fields.

[0050] 6. Means of Granting

[0051] The server checks whether a digital seal is required for the transcribed document, and if so, automatically assigns one. The digital seal uses digital signature technology to guarantee the authenticity of the document.

[0052] 7. Generation means

[0053] The server generates the document after transcription and electronic seal addition in a format such as PDF and sends it to the user's device. The user can then view the generated document on their own device.

[0054] 8. How to input corrections

[0055] The user can check the generated document and make corrections as necessary. These corrections can be entered by hand using a tablet or other device, and the document is then sent back to the server.

[0056] 9. Printing means

[0057] Once the user has confirmed and corrected the document, they can print it using the online printing service. A print code is generated from the terminal via the server and provided to the user to print the document on a printer at a nearby convenience store.

[0058] Examples of use

[0059] Example 1: Application for father's death registration

[0060] 1. Enter your information

[0061] The user accesses "Application Immune-kun" and enters the name of their deceased father, their date of birth, and their own personal information.

[0062] 2. Data transmission

[0063] The terminal transmits the input data to the server.

[0064] 3. Data storage and transcription

[0065] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[0066] 4. Adding an electronic seal

[0067] The server affixes an electronic seal to the necessary documents.

[0068] 5. Generate and send documents

[0069] The generated document is sent in PDF format to the user's terminal, where the user can check and modify it.

[0070] 6. Printing

[0071] The document confirmed by the user is printed using a net print service.

[0072] In this way, by utilizing this system, users can efficiently create multiple application documents by entering information once, significantly reducing the amount of time and effort required. This system is extremely useful, especially for the elderly and those with physical disabilities.

[0073] The processing flow will be explained below.

[0074] Step 1: Enter your information

[0075] The user accesses the "Apply All at Once" web application.

[0076] The user fills in the form with the required personal information (e.g., the name of the deceased, date of birth, and their own personal information).

[0077] The terminal temporarily stores the contents of the input form.

[0078] Step 2: Sending data

[0079] The user clicks the "Submit" button.

[0080] The terminal transmits the input information to the server.

[0081] The transmission protocol uses a secure communication method.

[0082] Step 3: Save your data

[0083] The server stores the received information in a database.

[0084] The server confirms that the save was successful and returns a save success response to the terminal.

[0085] Step 4: Loading the template

[0086] The server loads the necessary document templates from a database based on the specified region and application details.

[0087] Examples include templates for death certificates, cremation permits, and life insurance claim forms.

[0088] Step 5: Transcribing the data

[0089] The server reads the saved user data and automatically transcribes the data into the loaded template.

[0090] For example: Each document is filled out accurately with the deceased person's name, date of birth, and personal information.

[0091] Step 6: Adding an electronic seal

[0092] The server confirms the need for an electronic signature.

[0093] If necessary, the server applies an electronic seal to the document using digital signature technology.

[0094] Step 7: Generate the document

[0095] The server generates the transcribed and electronically stamped document in an appropriate format, such as PDF.

[0096] The server prepares the generated document for transmission to the user terminal.

[0097] Step 8: View and review documents

[0098] The terminal displays the generated document received from the server.

[0099] The user checks the displayed document and enters corrections as necessary.

[0100] Step 9: Submit your corrections

[0101] If the user inputs corrections and resubmits, the terminal transmits the correction data to the server.

[0102] The server regenerates the document based on the corrected data and sends it to the terminal again.

[0103] Step 10: Choose to print or submit electronically

[0104] After completing the document verification, the user can choose to either print or submit electronically.

[0105] The terminal initiates appropriate processing depending on the user's selection.

[0106] Step 11: Use an online printing service

[0107] If printing is selected, the terminal transmits data for using the net print service to the server.

[0108] The server prepares the print data, generates a print code and returns it to the terminal.

[0109] The user uses the print code to print the document on a printer at a convenience store or the like.

[0110] Step 12: Electronic submission

[0111] If electronic submission is selected, the terminal designates a destination, and the server electronically submits the document with the digital signature to the designated destination.

[0112] Through the above steps, the "Application Identification" system enables users to efficiently create multiple documents with a single input, speeding up the application process.

[0113] Example 1

[0114] 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."

[0115] Conventional application procedures for ceremonial occasions require the creation of multiple separate documents and the entry of information into each, resulting in time-consuming and laborious processes. The same information must be entered multiple times, making it prone to input errors and omissions. Furthermore, each document must be individually digitally signed and printed, placing a particularly heavy burden on elderly people and those with physical disabilities. A system that can solve these problems and significantly streamline application procedures is needed.

[0116] 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.

[0117] In this invention, the server includes an input means for a user to input information using a terminal, a transmission means for transmitting the data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an affixing means for affixing an electronic signature to the document transcribed by the transcription means, and a generation means for transmitting the generated document to the user terminal. This enables a user to efficiently create multiple documents by inputting information once, and to affix an electronic signature and print them all at once.

[0118] "Input means" refers to means by which a user inputs information using a terminal.

[0119] The "transmission means" is a means for transmitting data input by the input means to the server.

[0120] The "storage means" is a means for storing the data transmitted by the transmission means in a database.

[0121] The "transcription means" is a means for automatically transcribing information into a plurality of document templates based on the stored data.

[0122] The "signing means" is a means for adding a digital signature to the document transcribed by the transcribing means.

[0123] The "creation means" is a means for transmitting the created document to the user terminal.

[0124] The "correction means" is a means by which a user inputs corrections to a generated document.

[0125] The "printing means" is a means for making the generated document printable using a network printing service.

[0126] An "electronic signature" is an electronic seal that uses digital signature technology to guarantee the authenticity of a document.

[0127] This invention is a system for automatically transcribing information to multiple related documents with a single input, and generating documents by adding electronic signatures as necessary, in order to streamline application procedures related to ceremonial occasions. This system includes input means, transmission means, storage means, transcription means, addition means, generation means, correction means, and printing means.

[0128] System configuration

[0129] 1. User Device

[0130] Users access the system using a device such as a PC, smartphone, or tablet, and then log in by accessing the web application using the browser on the device.

[0131] 2. Input Method

[0132] The user enters the required information using an input form on the web application, which provides various input methods such as text boxes, drop-down menus, and check boxes to enter the name and date of birth of the deceased person, as well as the applicant's personal information.

[0133] 3. Transmission Method

[0134] The user terminal sends the entered information to the server in encrypted form using the SSL / TLS protocol. Specifically, an AJAX request is sent and the request data is passed to the server in JSON format.

[0135] 4. Preservation means

[0136] The server stores the submitted information in a database. The database uses a relational database such as MySQL (registered trademark) or PostgreSQL, and robust security measures are implemented to protect the data. For example, the following SQL statement is executed: "INSERT INTO user_data (name, birthdate, applicant_info) VALUES ('Name of the deceased', 'Birthdate', 'Personal information of the applicant')".

[0137] 5. Transcription Method

[0138] The server automatically transcribes the information stored in the database into multiple document templates, which are filled with information using a template engine such as Jinja2. For example, a death notification template includes the name and date of birth of the deceased.

[0139] 6. Means of Granting

[0140] The server checks whether a digital signature is required for the transcribed document and, if so, grants one. The digital signature is generated using public key infrastructure (PKI) technology, and uses Python's cryptography library to calculate a hash value and generate the digital signature.

[0141] 7. Generation means

[0142] The server generates the document after transcription and digital signature addition in a format such as PDF and sends it to the user's terminal. For this process, the Python ReportLab library is used to generate the PDF file and send it to the user's terminal as an HTTP response.

[0143] 8. Remedies

[0144] The user can check the generated document and make any necessary corrections. Corrections can be made using the correction form in the web application or by handwriting on a tablet. The corrected data is then sent back to the server and reflected in the document.

[0145] 9. Printing means

[0146] Once the user has confirmed and corrected the document, it can be printed using the network printing service. The server uses the network printing service API to generate a print code and provides it to the user. The user then enters the print code into the convenience store printer to print the document.

[0147] Specific examples

[0148] As a concrete example, we will explain the application for notification of the death of a father.

[0149] 1. Enter your information

[0150] The user accesses the system and enters the father's name, date of birth, and their own personal information.

[0151] For example: "Father's name: Deceased's name" "Date of birth: January 1, 1950" "Applicant's name: Applicant's name"

[0152] 2. Data transmission

[0153] The terminal transmits the input data to the server.

[0154] Example: Prompt text: "Send the entered information (father's name, date of birth, and applicant's personal information) to the server."

[0155] 3. Data storage and transcription

[0156] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[0157] Example: "Save to database" → "Transfer father's name and date of birth to death certificate template"

[0158] 4. Adding an electronic signature

[0159] The server affixes an electronic signature to the required documents.

[0160] Example: "DEATH CERTIFICATION ELECTRONIC SIGNATURE"

[0161] 5. Generate and send documents

[0162] The generated document is sent in PDF format to the user's terminal, where the user can check and modify it.

[0163] Example: "Send in PDF format" → "User checks and manually enters corrections"

[0164] 6. Printing

[0165] The document confirmed by the user is printed using a network printing service.

[0166] Example: "Generate print code" → "Print at a nearby convenience store"

[0167] In this way, users can use the system to efficiently create multiple documents at once, significantly reducing the time and effort required, making it a very useful system, especially for the elderly and people with disabilities.

[0168] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0169] Step 1:

[0170] The user enters information into the terminal

[0171] Users access the system's web application using a device such as a PC, smartphone, or tablet. An input form is displayed, and the user enters the required information, such as the name of the deceased, date of birth, and personal information of the applicant. The entered data is collected through text boxes, drop-down menus, check boxes, etc.

[0172] input:

[0173] The user enters the name of the deceased, date of birth, and personal information of the applicant into the input form.

[0174] output:

[0175] Information entered into a user's terminal.

[0176] Specific behavior:

[0177] The user operates input buttons and text boxes on the device's browser.

[0178] Step 2:

[0179] Sending data from the device to the server

[0180] The information entered by the user is sent to the server by clicking the "Submit" button. Here, the data is encrypted using the SSL / TLS protocol. A JavaScript (registered trademark) event handler is triggered and an AJAX request is sent. The request is in JSON format.

[0181] input:

[0182] Data entered by the user into the terminal.

[0183] output:

[0184] The JSON formatted data sent to the server.

[0185] Specific behavior:

[0186] The user clicks the "Submit" button and the event handler sends an AJAX request to the server.

[0187] Step 3:

[0188] Data storage on the server

[0189] The server stores the received data in a database, typically a relational database such as MySQL or PostgreSQL. It uses the Python Flask framework to receive the request data and insert it into the database using the appropriate SQL statements.

[0190] input:

[0191] The JSON formatted data sent to the server.

[0192] output:

[0193] User information stored in a database.

[0194] Specific behavior:

[0195] The server receives the data and executes the SQL statement "INSERT INTO user_data (name, birthdate, applicant_info) VALUES ('Name of the Deceased', 'Birthdate', 'Applicant's Personal Information')".

[0196] Step 4:

[0197] Automatic data transcription

[0198] The server automatically transcribes information into multiple document templates based on the information stored in the database, and uses Jinja2 as the template engine to insert the corresponding information into the document templates.

[0199] input:

[0200] User information stored in a database.

[0201] output:

[0202] Transcription of information in a format appropriate for each document template.

[0203] Specific behavior:

[0204] The server uses the Jinja2 template engine to fill in the "Death Notification Template" with the name and date of birth of the deceased.

[0205] Step 5:

[0206] Adding an electronic signature

[0207] The server checks whether a digital signature is required for the transcribed document, and if so, grants it. The digital signature is generated using public key infrastructure (PKI) technology, and uses Python's cryptography library to calculate a hash value and generate the digital signature.

[0208] input:

[0209] Posted document template.

[0210] output:

[0211] A document with an electronic signature.

[0212] Specific behavior:

[0213] The server calculates the hash value of the document, generates a digital signature, and embeds it in the PDF file.

[0214] Step 6:

[0215] Document generation and submission

[0216] Once the document has been transcribed and electronically signed, it is generated in a format such as PDF and sent to the user's device. The PDF file is generated using the Python ReportLab library and sent to the user's device as an HTTP response.

[0217] input:

[0218] A document template with an electronic signature.

[0219] output:

[0220] The document sent to the user in PDF format.

[0221] Specific behavior:

[0222] The server generates a PDF file using the ReportLab library and sends it to the user's device as an HTTP response.

[0223] Step 7:

[0224] User correction input

[0225] The user can check the generated document and make any necessary corrections. Corrections can be entered using the correction form in the web application or by handwriting on a tablet. The corrected data is sent back to the server and reflected in the document.

[0226] input:

[0227] User-modified data.

[0228] output:

[0229] Corrected document data.

[0230] Specific behavior:

[0231] The user enters and submits the correction data using a correction form or tablet.

[0232] Step 8:

[0233] Printing documents

[0234] Once the user has confirmed and corrected the document, they can print it using the network printing service. The server uses the network printing service API to generate a print code and provides it to the user. The user then enters the print code into the convenience store printer to print the document.

[0235] input:

[0236] Document data after confirmation and correction.

[0237] output:

[0238] Printing code and printed documents.

[0239] Specific behavior:

[0240] The server calls the network printing service API, generates a print code, and displays it on the user's device. The user then enters the code into a printer at a convenience store to print the document.

[0241] The above is a detailed description of the specific processing steps and associated operations of this system.

[0242] (Application example 1)

[0243] 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."

[0244] Traditionally, application procedures at brick-and-mortar stores have been tedious and often require the manual completion of numerous documents. This is particularly true for ceremonial occasions and various contract procedures, where the same information must be entered multiple times on multiple documents and then signed, which is time-consuming and labor-intensive. This process is extremely difficult for elderly and physically disabled users, and there is a need to improve its efficiency.

[0245] 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.

[0246] In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting the data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an affixing means for affixing an electronic signature to the document transcribed by the transcription means, a generation means for sending the generated document to a user terminal, and an output means for making the document generated by the generation means printable on an in-store printer. This streamlines application procedures in physical stores, enables automatic generation of multiple documents with a single information input, and enables quick electronic signatures and printouts.

[0247] "Personal information" refers to information that identifies an individual, including name, address, telephone number, date of birth, etc.

[0248] "Input means" refers to a device or application that allows a user to input personal information.

[0249] "Transmission means" refers to a mechanism for transmitting input data to a server.

[0250] "Storage means" refers to a system for storing transmitted data in a database.

[0251] "Document template" refers to a fixed format used for automatic transcription.

[0252] "Transfer means" refers to the process of automatically filling in document templates with stored data.

[0253] An "electronic signature" is a digital signature that guarantees the authenticity and security of a document.

[0254] "Applying means" refers to the function of applying an electronic signature to a transcribed document.

[0255] "Generation means" refers to the function that digitally generates transcribed and digitally signed documents.

[0256] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC.

[0257] "Output means" refers to a function for actually printing the generated document.

[0258] The system for implementing this invention provides the function of inputting personal information, automatically transcribing that information into multiple documents, adding an electronic signature, and printing the generated documents on an in-store printer. Specifically, this system is realized with the following configuration.

[0259] System Configuration

[0260] 1. User Device

[0261] Users access the system using a smartphone, tablet, or PC, and enter their personal information using the terminal.

[0262] 2. Input Method

[0263] It provides an interface for users to enter personal information, supporting multiple input formats such as text fields, drop-down menus, and checkboxes.

[0264] 3. Transmission Method

[0265] The entered data is securely transmitted to the server using the HTTPS protocol.

[0266] 4. Preservation means

[0267] The server stores the received data in a database (e.g., PostgreSQL), which ensures data reliability and security.

[0268] 5. Transcription Method

[0269] The server automatically transcribes the information into multiple document templates (PDF format) based on the stored data, using a template engine (e.g. Handlebars.js).

[0270] 6. Means of Granting

[0271] The server digitally signs the transcribed document, a process that uses digital signature technology (e.g., DigiCert API).

[0272] 7. Generation means

[0273] The server generates a PDF of the transcribed and signed document and sends it to the user's device using a PDF generation library such as PDFKit.

[0274] 8. Output Method

[0275] The user checks the generated document and generates a QR code (registered trademark) for printing on an in-store printer. The document can be printed by having the in-store printer read the QR code.

[0276] Examples of use

[0277] As an example, consider the membership registration process at a brick-and-mortar store.

[0278] 1. Enter your information

[0279] Example prompt: "Please enter your registration information."

[0280] Users access the application from their smartphone or PC and enter information such as their name, address, and contact details.

[0281] 2. Data transmission and storage

[0282] Data entered from the user's terminal is sent to the server via HTTPS, and the server stores the received data in a PostgreSQL database.

[0283] 3. Transcription of data and electronic signature

[0284] The server uses the stored data to automatically transcribe document templates such as membership cards and contracts, and digitally sign the applied documents using the DigiCert API.

[0285] 4. Creating and Sending Documents

[0286] The generated PDF file is sent to the user's smartphone or PC, where the user can review the document and make any necessary corrections.

[0287] 5. In-store printing

[0288] Once the corrections are complete, the document is generated as a QR code, which the user holds up to the in-store printer to print.

[0289] In this way, procedures at physical stores are greatly simplified and efficiency is achieved.

[0290] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0291] Step 1: Enter your information

[0292] Users access the application from their smartphone or PC and follow the prompt to "Please enter your information for membership registration," entering personal information such as name, address, contact details, etc. The data entered here is in text format and temporarily stored on the user's device.

[0293] Step 2: Sending data

[0294] The user terminal securely transmits the entered personal information to the server via the HTTPS protocol. At this time, the data is converted into JSON format. The input is text data, and the output is the JSON format data sent to the server.

[0295] Step 3: Save your data

[0296] The server parses the received JSON format data and stores it in the database (PostgreSQL). Specifically, the server parses the received data and inserts it into the database columns corresponding to each field. The input is JSON data, and the output is a record stored in the database.

[0297] Step 4: Transcribing the data

[0298] The server automatically transcribes the information into document templates such as membership cards and contracts based on the stored data. This process uses a template engine (Handlebars.js). The input is the record retrieved from the database, and the output is a document with the information reflected in the template.

[0299] Step 5: Applying an electronic signature

[0300] The server then digitally signs the transcribed document. This is done using the DigiCert API. Specifically, the server sends the transcribed document to the API and receives the signed document. The input is the transcribed document data, and the output is the document with the digital signature.

[0301] Step 6: Generate and send the document

[0302] The server generates a PDF document with a digital signature and sends it to the user's device. The PDFKit library is used for generation. The input is the digitally signed document data, and the output is a PDF document.

[0303] Step 7: Review and correct the document

[0304] The user can check the PDF document sent to them on their smartphone or PC and make any necessary corrections. The corrections are sent back to the server and reflected in the database and template. The input is a PDF document, and the output is the corrected PDF document.

[0305] Step 8: Print to your in-store printer

[0306] A QR code is generated for the document after the user has confirmed and corrected it. This QR code is printed by holding it up to an in-store printer. Specifically, the server generates the QR code and sends it to the user's device. The input is the corrected PDF document, and the output is a printable QR code.

[0307] This series of processing steps significantly simplifies and streamlines the procedures at physical stores.

[0308] 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.

[0309] This invention combines an emotion engine that recognizes the user's emotions with the "Appendix Icchan-kun" system, which streamlines procedures related to ceremonial occasions. As a result, it realizes a system that is more user-friendly and contributes to reducing stress.

[0310] System configuration

[0311] 1. User Device

[0312] Users access "Apply All" using devices such as computers, smartphones, or tablets.

[0313] 2. Input Method

[0314] The user enters the necessary information (e.g., "Name of the deceased," "Date of birth," "Personal information") through a web application on the device. This input method includes text input, drop-down menus, and handwriting input.

[0315] 3. Transmission Method

[0316] The terminal transmits the information entered by the user to the server using a secure communication protocol.

[0317] 4. Preservation means

[0318] The server stores the information sent from the terminal in a database. The storage means provides high reliability and security.

[0319] 5. Transcription Method

[0320] The server automatically transfers the information from the stored data into multiple document templates, ensuring that the required fields are accurately filled out on each document.

[0321] 6. Means of Granting

[0322] The server checks whether an electronic seal is required for the transcribed document, and if necessary, affixes an electronic seal. The electronic seal uses digital signature technology.

[0323] 7. Generation means

[0324] The server generates the document after transcription and electronic seal addition in a format such as PDF and sends it to the user's device, where the user can view the generated document.

[0325] 8. How to input corrections

[0326] The user can check the generated document and make corrections as necessary. These corrections can be entered by hand using a tablet or other device, and the document is then sent back to the server.

[0327] 9. Printing means

[0328] Once the user has confirmed and corrected the document, they can print it using the online printing service. A print code is generated from the terminal via the server, allowing the document to be printed on a printer at a nearby convenience store.

[0329] 10. Emotion Engine

[0330] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions, and based on this information, the system provides appropriate support.

[0331] Program processing

[0332] The emotion engine uses the onboard camera and microphone to collect and analyze the user's facial and voice data to recognize emotions. For example, if the user is feeling stressed, the emotion engine will detect this and adapt the interface and support messages accordingly.

[0333] Example 1: A user requests a death certificate for their father.

[0334] 1. Entering and submitting information

[0335] The user accesses "Application Identification", enters the necessary information (the name of the deceased, date of birth, and the user's own personal information) and submits it.

[0336] 2. Data storage and transcription

[0337] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[0338] 3. Adding electronic seals and generating documents

[0339] An electronic seal is applied to the necessary documents, and the documents are generated and sent to the user terminal.

[0340] 4. Emotional awareness and adaptation

[0341] The emotion engine analyzes the user's face and voice, and if it recognizes that the user is feeling stressed, it simplifies the interface and displays a supportive message.

[0342] 5. Edit and print

[0343] The user checks and corrects the document and prints it using the online printing service.

[0344] This system not only allows users to efficiently fill out multiple documents by entering information once, but also reduces stress through its emotion engine, greatly simplifying the application process, especially for the elderly and those with disabilities.

[0345] The processing flow will be explained below.

[0346] Step 1: Enter your information

[0347] The user accesses the "Apply All at Once" web application.

[0348] The user fills in the form with the required personal information (e.g., the name of the deceased, date of birth, and their own personal information).

[0349] The terminal temporarily stores the contents of the input form.

[0350] Step 2: Recognize emotions

[0351] The device uses a camera and microphone to collect data about the user's face and voice.

[0352] The device sends the collected data to the emotion engine.

[0353] The emotion engine analyzes the user's facial expressions and voice to recognize their current emotional state.

[0354] Step 3: Adapting the interface

[0355] The emotion engine automatically adjusts the interface based on the emotions it recognizes.

[0356] Example: If the device detects that the user is stressed, it will simplify the form and display support messages and guidance.

[0357] Step 4: Sending data

[0358] The user clicks the "Submit" button.

[0359] The terminal transmits the input information to the server.

[0360] The transmission protocol uses a secure communication method.

[0361] Step 5: Save your data

[0362] The server stores the received information in a database.

[0363] The server confirms that the save was successful and returns a save success response to the terminal.

[0364] Step 6: Loading the template

[0365] The server loads the necessary document templates from a database based on the specified region and application details.

[0366] Examples include templates for death certificates, cremation permits, and life insurance claim forms.

[0367] Step 7: Transcribing the data

[0368] The server reads the saved user data and automatically transcribes the data into the loaded template.

[0369] For example: Each document is filled out accurately with the deceased person's name, date of birth, and personal information.

[0370] Step 8: Adding an electronic seal

[0371] The server confirms the need for an electronic signature.

[0372] If necessary, the server applies an electronic seal to the document using digital signature technology.

[0373] Step 9: Generate and submit documents

[0374] The server generates the transcribed and electronically stamped document in an appropriate format, such as PDF.

[0375] The server prepares the generated document for transmission to the user terminal.

[0376] Step 10: View and review documents

[0377] The terminal displays the generated document received from the server.

[0378] The user checks the displayed document and enters corrections as necessary.

[0379] Step 11: Submit your corrections

[0380] If the user inputs corrections and resubmits, the terminal transmits the correction data to the server.

[0381] The server regenerates the document based on the corrected data and sends it to the terminal again.

[0382] Step 12: Choose to print or submit electronically

[0383] After completing the document verification, the user can choose to either print or submit electronically.

[0384] The terminal initiates appropriate processing depending on the user's selection.

[0385] Step 13: Use an online printing service

[0386] If printing is selected, the terminal transmits data for using the net print service to the server.

[0387] The server prepares the print data, generates a print code and returns it to the terminal.

[0388] The user uses the print code to print the document on a printer at a convenience store or the like.

[0389] Step 14: Electronic submission

[0390] If electronic submission is selected, the terminal designates a destination, and the server electronically submits the document with the digital signature to the designated destination.

[0391] Through this specific process, the "Application Bulk" system reduces user stress by adding an emotion engine, enabling users to efficiently create multiple application documents.

[0392] Example 2

[0393] 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."

[0394] Currently, procedures related to ceremonial occasions are time-consuming and place a significant burden on the elderly and physically disabled. Furthermore, procedures placed under circumstances where mental stress is likely to increase create an even greater burden. Conventional systems lack the efficiency of these procedures and provide support that takes into consideration the user's emotions. The purpose of this invention is to solve these problems and provide a system that is easier to use and less stressful for users.

[0395] 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. In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting data input by the input means to the processing device, a storage means for saving the data sent by the transmission means in a storage device, a transcription means for automatically transcribing information into multiple document templates based on the saved data, an affixing means for affixing a digital signature to the document transcribed by the transcription means, a generation means for transmitting the generated document to a user device, and an emotion recognition means for analyzing data of the user's face and voice and recognizing their emotion. This makes it possible to efficiently create multiple documents by inputting information once, and to reduce stress by taking into consideration the user's emotions.

[0396] "Personal information" refers to information about a user that can identify the individual, such as name, date of birth, and address.

[0397] "Input means" refers to an interface or device that allows a user to input personal information or other necessary information into the system.

[0398] The "transmission means" refers to a means for transmitting data input by the input means to a server or other device.

[0399] "Processing device" refers to a computer device or server that transmits and receives data.

[0400] "Memory device" refers to a database or storage device for saving data.

[0401] "Storage means" refers to a means for safely storing acquired data in a storage device.

[0402] "Transcribing means" refers to a means for automatically transcribing information into a document template based on stored data.

[0403] A "document template" refers to a pre-set format or template for a specific document type.

[0404] "Means of granting" refers to the technology or means for granting an electronic signature or electronic seal to a document.

[0405] "Electronic signature" refers to a technology for verifying the authenticity and tamper-proofness of digital information.

[0406] The "generation means" refers to a means for generating a document that has been transcribed and digitally signed, and transmitting the document to a user device.

[0407] "User device" refers to a terminal used by a user, such as a personal computer, smartphone, or tablet.

[0408] "Emotion recognition means" refers to a means for recognizing emotions by analyzing the user's facial and voice data.

[0409] This invention is a system for streamlining procedures related to ceremonial occasions and reducing user stress. This system is composed of a combination of "Application Identification" and an emotion engine that performs emotion analysis. Users can access the system using devices such as PCs, smartphones, and tablets.

[0410] System Components

[0411] User terminal

[0412] Users access the app using a computer, smartphone, or tablet. The device is equipped with a camera and microphone, which the emotion engine uses to analyze the user's facial expressions and voice.

[0413] Input Method

[0414] Users input the required information through a web application on their device, using input methods including text entry, drop-down menus, and handwriting.

[0415] Transmission method

[0416] The device sends the entered information to the server using a secure communication method (e.g., HTTPS).

[0417] Preservation means

[0418] The server stores the submitted data in a reliable database (e.g., Amazon RDS, MySQL), and performs transaction management to ensure the data is stored correctly.

[0419] Transcription Method

[0420] The server automatically transcribes information into various document templates (e.g. PDF templates) based on the saved data, ensuring that information entered by the user once is accurately reflected in multiple documents.

[0421] Granting means

[0422] The server then digitally signs the transcribed document (e.g., using OpenSSL), ensuring that the document is tamper-proof and authentic.

[0423] generation means

[0424] The server generates a PDF of the document after transcription and digital signature is completed and sends it to the user's device, where the user can view the generated document.

[0425] Input method for correction

[0426] The user checks the generated document and, if necessary, makes corrections by handwriting, etc. After making corrections, the document is sent back to the server.

[0427] printing means

[0428] Once the user has confirmed and corrected the document, they can print it using an online printing service (e.g., a printing service at a convenience store). The terminal generates a print code via the server and provides it to the user.

[0429] emotion recognition means

[0430] The emotion engine uses the camera and microphone to collect facial and voice data from the user, and analyzes their emotions using Microsoft® Azure® Cognitive Services and Google® Cloud Natural Language API. If the user is feeling stressed, the interface is simplified and a support message is displayed.

[0431] Examples of prompt statements

[0432] "We would like to develop a system that streamlines wedding and funeral procedures and reduces user stress. Please write a program that can input information for application procedures, save data, automatically transcribe, add electronic signatures, generate documents, and recognize emotions."

[0433] Specific examples

[0434] Example 1: A user requests a death certificate for their father.

[0435] The user accesses "Application Identification" and enters the name, date of birth, and personal information of the deceased. This information is then sent to the server by clicking the send button. The server saves the received data and automatically transcribes it into the required document template. A document with a digital signature is generated and sent to the user's device. The user then checks the document, makes any necessary corrections, and finally prints it using an online printing service. The emotion engine analyzes the user's face and voice, and if they appear stressed, it displays a supportive message or a simplified interface.

[0436] This system allows users to efficiently fill out multiple documents by entering information once, and its emotion engine is expected to reduce stress, greatly simplifying the application process, especially for the elderly and those with disabilities.

[0437] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0438] Step 1: Enter your information

[0439] Users access the "Appendix Icchan" web application using a PC, smartphone, or tablet. They enter the required data, such as the name of the deceased, their date of birth, and their own personal information. The entered data is retrieved from text boxes and drop-down menus on the web form. The input includes basic information about the deceased, their date of birth, and the submitter's personal information. Based on this input, the information is sent to the backend.

[0440] Step 2: Submitting input data

[0441] The device sends the information entered by the user to the server using a secure communication protocol (HTTPS). The data sent includes personal information entered by the user and information about the deceased. The data received as input is encoded and sent to the server. The server receives it and returns a confirmation message to the device.

[0442] Step 3: Save your data

[0443] The server stores the received data in a reliable database (e.g., Amazon RDS, MySQL). Before storing it, it checks the integrity of the data and verifies that there is no invalid data. The input is the personal information sent, and the output is a confirmation that the data was correctly stored in the database.

[0444] Step 4: Transfer data to document template

[0445] The server automatically transcribes information into document templates (PDF templates) based on the saved data. Templates include death certificates, cremation permits, life insurance claims, etc. The saved data is transcribed into the corresponding fields of the template, and each document template is completed as output.

[0446] Step 5: Applying an electronic signature

[0447] The server then digitally signs the document (digital signature technology: OpenSSL) that has been transcribed into the template. Digital signing is the process of creating a digital signature to prevent unauthorized alteration of the document and then attaching it to the document. The input is the completed template, and the output is a signed document.

[0448] Step 6: Generate and submit documents

[0449] The server generates a PDF of the document with the digital signature completed and sends it to the user's device. The document sent is a generated PDF file, which the user receives and reviews on their device. The input is the signed document, and the output is a PDF link that the user can access.

[0450] Step 7: Check and correct documents

[0451] The user checks the document sent on the terminal and makes corrections as necessary using functions such as handwriting input. After making corrections, the corrected data is sent back to the server. The input is the information corrected by the user, and the output is the updated document data.

[0452] Step 8: Resubmit the corrected data

[0453] The terminal sends the corrected document data back to the server. The server then stores the received corrected data in a storage device. In this process, the corrected data is sent and stored. The input is the corrected data, and the output is the correction information stored in the database.

[0454] Step 9: Print your documents

[0455] After the user has confirmed and corrected the document, they can print it using an online printing service (e.g., a convenience store's online printing service). The terminal generates a print code via the server and provides it to the user. The input is the final confirmed document, and the output is the print code for printing.

[0456] Step 10: Recognize and respond to user emotions

[0457] The emotion engine uses a camera and microphone to collect data on the user's face and voice, and performs emotion analysis using Microsoft Azure Cognitive Services and Google Cloud Natural Language API. The input is the user's face and voice data, and the output is an analysis of the user's emotional state. If the user is feeling stressed, the system simplifies the interface and displays a supportive message.

[0458] (Application example 2)

[0459] 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."

[0460] Conventional customer service systems struggled to take into account customer emotions and were unable to provide the best resources to improve customer satisfaction. Furthermore, even when customers were feeling stressed, they could only provide a uniform response, limiting improvements to the customer experience. These challenges made it difficult to provide services that satisfied customers.

[0461] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an assignment means for assigning an electronic seal to the document transcribed by the transcription means, a generation means for sending the generated document to a user terminal, and an emotion analysis means for recognizing the user's emotion and suggesting an appropriate response method. This makes it possible to recognize the customer's emotion in real time and suggest an appropriate response method accordingly, which is expected to improve customer satisfaction.

[0462] "Personal information" refers to information that identifies an individual, such as the user's name, contact information, and address.

[0463] "Input means" refers to an interface for a user to input information, and includes devices such as a keyboard, a touch screen, and voice input.

[0464] "Transmission means" refers to the communication protocol and device that transmits the input data to the server.

[0465] "Storage means" refers to the technology and equipment used to store the transmitted data in a database or storage device.

[0466] "Transcriber" means an algorithm and system for automatically transcribing stored data into multiple document templates.

[0467] "Applying instrument" refers to the technology and devices used to apply electronic signatures or marks to transcribed documents.

[0468] "Generation means" refers to the technology and system for transmitting the generated document to the user terminal.

[0469] The "emotion analysis means" is an engine and software for analyzing the user's facial expressions and voice and recognizing their emotions.

[0470] MODE FOR CARRYING OUT THE INVENTION

[0471] This invention aims to realize a customer service system that takes into account the emotions of customers, and is a system that efficiently performs everything from inputting personal information to generating documents and analyzing emotions. Below is a specific method for implementing this system.

[0472] 1. User Device

[0473] Users use the system through smart glasses, which are equipped with a built-in camera and microphone, and can collect the user's facial expressions and voice in real time.

[0474] 2. Input Method

[0475] The interface for users to input information can be voice, touch, or other biometric technologies, such as the touchpad or voice recognition capabilities of smart glasses.

[0476] 3. Transmission Method

[0477] The data entered by the user is sent to the server via the Internet using the security protocol SSL / TLS, which protects the data with end-to-end encryption.

[0478] 4. Preservation means

[0479] The transmitted data is stored in a database on the server, typically a relational database such as MySQL or PostgreSQL.

[0480] 5. Transcription Method

[0481] Based on the stored data, a special algorithm automatically transcribes the information into a document template, which can be a PDF or Word file.

[0482] 6. Means of Granting

[0483] Digital signature technology (e.g., Public Key Infrastructure: PKI) is used to electronically sign transcribed documents, thereby ensuring their authenticity.

[0484] 7. Generation means

[0485] The generated document is converted into PDF format and sent back to the user's device, where the user can view it on the display of the smart glasses.

[0486] 8. Emotion analysis method

[0487] The data collected by the built-in camera and microphone is analyzed in real time by an emotion analysis engine (e.g., Google Cloud Vision API, IBM Watson (registered trademark) Tone Analyzer). The system recognizes emotions from the user's facial expressions and voice, and based on the results, displays appropriate responses on the smart glasses.

[0488] Specific examples

[0489] For example, if a customer is having trouble choosing a product, the smart glasses will display a message saying, "You are looking for help. Please call us for assistance." Based on this message, the store clerk can immediately provide appropriate assistance.

[0490] Prompt Sentence Examples

[0491] Examples of prompts to use with generative AI models include:

[0492] "Write a program that uses an emotion recognition engine to show how to respond to a customer's emotions in real time."

[0493] "Assuming that the application installed on the smart glasses has the ability to recognize emotions from the customer's facial expressions and voice and display appropriate advice to the store clerk, please provide an example implementation in Python."

[0494] In this way, the system can recognize customer emotions in real time and suggest appropriate responses to store staff, thereby improving customer satisfaction.

[0495] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0496] Step 1:

[0497] The user puts on the smart glasses and the built-in camera and microphone are activated. The camera captures the customer's facial expressions in real time, and the microphone records the conversation with the customer. This inputs the customer's facial image data and voice data.

[0498] Step 2:

[0499] The facial image data and audio data collected by the device are preprocessed. The facial image data is converted to grayscale using the OpenCV library to detect the face region. The audio data is converted to text using the Google Cloud Speech-to-Text API. The preprocessed data is output.

[0500] Step 3:

[0501] The device sends the preprocessed facial image data and voice text data to the server via the Internet. SSL / TLS is used as the transmission protocol. This inputs the preprocessed data into the server.

[0502] Step 4:

[0503] The server inputs the received facial image data and voice text data into an emotion analysis engine (e.g., Google Cloud Vision API, IBM Watson Tone Analyzer). These engines analyze the data and recognize the customer's emotions. The recognized emotion data is output.

[0504] Step 5:

[0505] The server runs an algorithm based on the recognized emotion data to determine the appropriate response. For example, specific advice such as "smile" or "keep your distance" is generated. As a result, data on the appropriate response is output.

[0506] Step 6:

[0507] The server transmits the generated response method data to the terminal, whereby the response method data is input into the terminal.

[0508] Step 7:

[0509] The device receives data on how to respond and displays it on the smart glasses' display. Specifically, it uses the smart glasses' API to display a message such as "This person is requesting help. Please call out to provide support." Instructions on how to respond to the customer are output.

[0510] Step 8:

[0511] The user (store clerk) follows the instructions displayed on the screen to respond appropriately to the customer's emotions, for example, by speaking to them to offer support or by keeping a little distance. This improves customer satisfaction.

[0512] The system recognizes customer emotions in real time and suggests appropriate responses to store staff, thereby improving the customer experience.

[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 (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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] This invention provides a system called "Application Immigration Kun" that automatically transfers information to multiple related documents with a single input, and generates documents by adding an electronic seal as needed, in order to streamline application procedures related to ceremonial occasions. Specific embodiments of this system are described below.

[0530] System configuration

[0531] 1. User Device

[0532] Users access "Application Bulk" using devices such as computers, smartphones, or tablets.

[0533] 2. Input Method

[0534] The user enters the necessary information (e.g., "Name of the deceased," "Date of birth," "Personal information of the applicant," etc.) through a web application on the terminal. This input method can be text input, drop-down menus, or handwriting input.

[0535] 3. Transmission Method

[0536] The terminal transmits the information entered by the user to the server using a secure protocol to ensure that the entered data is not lost or tampered with.

[0537] 4. Preservation means

[0538] The server stores the information sent from the terminal in a database. This storage method is equipped with appropriate data protection functions to provide high reliability and security.

[0539] 5. Transcription Method

[0540] The server automatically transcribes information into multiple document templates based on the stored data, ensuring that each document accurately contains the required fields.

[0541] 6. Means of Granting

[0542] The server checks whether a digital seal is required for the transcribed document, and if so, automatically assigns one. The digital seal uses digital signature technology to guarantee the authenticity of the document.

[0543] 7. Generation means

[0544] The server generates the document after transcription and electronic seal addition in a format such as PDF and sends it to the user's device. The user can then view the generated document on their own device.

[0545] 8. How to input corrections

[0546] The user can check the generated document and make corrections as necessary. These corrections can be entered by hand using a tablet or other device, and the document is then sent back to the server.

[0547] 9. Printing means

[0548] Once the user has confirmed and corrected the document, they can print it using the online printing service. A print code is generated from the terminal via the server and provided to the user to print the document on a printer at a nearby convenience store.

[0549] Examples of use

[0550] Example 1: Application for father's death registration

[0551] 1. Enter your information

[0552] The user accesses "Application Immune-kun" and enters the name of their deceased father, their date of birth, and their own personal information.

[0553] 2. Data transmission

[0554] The terminal transmits the input data to the server.

[0555] 3. Data storage and transcription

[0556] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[0557] 4. Adding an electronic seal

[0558] The server affixes an electronic seal to the necessary documents.

[0559] 5. Generate and send documents

[0560] The generated document is sent in PDF format to the user's terminal, where the user can check and modify it.

[0561] 6. Printing

[0562] The document confirmed by the user is printed using a net print service.

[0563] In this way, by utilizing this system, users can efficiently create multiple application documents by entering information once, significantly reducing the amount of time and effort required. This system is extremely useful, especially for the elderly and those with physical disabilities.

[0564] The processing flow will be explained below.

[0565] Step 1: Enter your information

[0566] The user accesses the "Apply All at Once" web application.

[0567] The user fills in the form with the required personal information (e.g., the name of the deceased, date of birth, and their own personal information).

[0568] The terminal temporarily stores the contents of the input form.

[0569] Step 2: Sending data

[0570] The user clicks the "Submit" button.

[0571] The terminal transmits the input information to the server.

[0572] The transmission protocol uses a secure communication method.

[0573] Step 3: Save your data

[0574] The server stores the received information in a database.

[0575] The server confirms that the save was successful and returns a save success response to the terminal.

[0576] Step 4: Loading the template

[0577] The server loads the necessary document templates from a database based on the specified region and application details.

[0578] Examples include templates for death certificates, cremation permits, and life insurance claim forms.

[0579] Step 5: Transcribing the data

[0580] The server reads the saved user data and automatically transcribes the data into the loaded template.

[0581] For example: Each document is filled out accurately with the deceased person's name, date of birth, and personal information.

[0582] Step 6: Adding an electronic seal

[0583] The server confirms the need for an electronic signature.

[0584] If necessary, the server applies an electronic seal to the document using digital signature technology.

[0585] Step 7: Generate the document

[0586] The server generates the transcribed and electronically stamped document in an appropriate format, such as PDF.

[0587] The server prepares the generated document for transmission to the user terminal.

[0588] Step 8: View and review documents

[0589] The terminal displays the generated document received from the server.

[0590] The user checks the displayed document and enters corrections as necessary.

[0591] Step 9: Submit your corrections

[0592] If the user inputs corrections and resubmits, the terminal transmits the correction data to the server.

[0593] The server regenerates the document based on the corrected data and sends it to the terminal again.

[0594] Step 10: Choose to print or submit electronically

[0595] After completing the document verification, the user can choose to either print or submit electronically.

[0596] The terminal initiates appropriate processing depending on the user's selection.

[0597] Step 11: Use an online printing service

[0598] If printing is selected, the terminal transmits data for using the net print service to the server.

[0599] The server prepares the print data, generates a print code and returns it to the terminal.

[0600] The user uses the print code to print the document on a printer at a convenience store or the like.

[0601] Step 12: Electronic submission

[0602] If electronic submission is selected, the terminal designates a destination, and the server electronically submits the document with the digital signature to the designated destination.

[0603] Through the above steps, the "Application Identification" system enables users to efficiently create multiple documents with a single input, speeding up the application process.

[0604] Example 1

[0605] 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."

[0606] Conventional application procedures for ceremonial occasions require the creation of multiple separate documents and the entry of information into each, resulting in time-consuming and laborious processes. The same information must be entered multiple times, making it prone to input errors and omissions. Furthermore, each document must be individually digitally signed and printed, placing a particularly heavy burden on elderly people and those with physical disabilities. A system that can solve these problems and significantly streamline application procedures is needed.

[0607] 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.

[0608] In this invention, the server includes an input means for a user to input information using a terminal, a transmission means for transmitting the data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an affixing means for affixing an electronic signature to the document transcribed by the transcription means, and a generation means for transmitting the generated document to the user terminal. This enables a user to efficiently create multiple documents by inputting information once, and to affix an electronic signature and print them all at once.

[0609] "Input means" refers to means by which a user inputs information using a terminal.

[0610] The "transmission means" is a means for transmitting data input by the input means to the server.

[0611] The "storage means" is a means for storing the data transmitted by the transmission means in a database.

[0612] The "transcription means" is a means for automatically transcribing information into a plurality of document templates based on the stored data.

[0613] The "signing means" is a means for adding a digital signature to the document transcribed by the transcribing means.

[0614] The "creation means" is a means for transmitting the created document to the user terminal.

[0615] The "correction means" is a means by which a user inputs corrections to a generated document.

[0616] The "printing means" is a means for making the generated document printable using a network printing service.

[0617] An "electronic signature" is an electronic seal that uses digital signature technology to guarantee the authenticity of a document.

[0618] This invention is a system for automatically transcribing information to multiple related documents with a single input, and generating documents by adding electronic signatures as necessary, in order to streamline application procedures related to ceremonial occasions. This system includes input means, transmission means, storage means, transcription means, addition means, generation means, correction means, and printing means.

[0619] System configuration

[0620] 1. User Device

[0621] Users access the system using a device such as a PC, smartphone, or tablet, and then log in by accessing the web application using the browser on the device.

[0622] 2. Input Method

[0623] The user enters the required information using an input form on the web application, which provides various input methods such as text boxes, drop-down menus, and check boxes to enter the name and date of birth of the deceased person, as well as the applicant's personal information.

[0624] 3. Transmission Method

[0625] The user terminal sends the entered information to the server in encrypted form using the SSL / TLS protocol. Specifically, an AJAX request is sent and the request data is passed to the server in JSON format.

[0626] 4. Preservation means

[0627] The server stores the submitted information in a database using a relational database such as MySQL or PostgreSQL, with robust security measures in place to protect the data. For example, it executes the following SQL statement: "INSERT INTO user_data (name, birthdate, applicant_info) VALUES ('Name of the deceased', 'Birthdate', 'Personal information of the applicant')."

[0628] 5. Transcription Method

[0629] The server automatically transcribes the information stored in the database into multiple document templates, which are filled with information using a template engine such as Jinja2. For example, a death notification template includes the name and date of birth of the deceased.

[0630] 6. Means of Granting

[0631] The server checks whether a digital signature is required for the transcribed document and, if so, grants one. The digital signature is generated using public key infrastructure (PKI) technology, and uses Python's cryptography library to calculate a hash value and generate the digital signature.

[0632] 7. Generation means

[0633] The server generates the document after transcription and digital signature addition in a format such as PDF and sends it to the user's terminal. For this process, the Python ReportLab library is used to generate the PDF file and send it to the user's terminal as an HTTP response.

[0634] 8. Remedies

[0635] The user can check the generated document and make any necessary corrections. Corrections can be made using the correction form in the web application or by handwriting on a tablet. The corrected data is then sent back to the server and reflected in the document.

[0636] 9. Printing means

[0637] Once the user has confirmed and corrected the document, it can be printed using the network printing service. The server uses the network printing service API to generate a print code and provides it to the user. The user then enters the print code into the convenience store printer to print the document.

[0638] Specific examples

[0639] As a concrete example, we will explain the application for notification of the death of a father.

[0640] 1. Enter your information

[0641] The user accesses the system and enters the father's name, date of birth, and their own personal information.

[0642] For example: "Father's name: Deceased's name" "Date of birth: January 1, 1950" "Applicant's name: Applicant's name"

[0643] 2. Data transmission

[0644] The terminal transmits the input data to the server.

[0645] Example: Prompt text: "Send the entered information (father's name, date of birth, and applicant's personal information) to the server."

[0646] 3. Data storage and transcription

[0647] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[0648] Example: "Save to database" → "Transfer father's name and date of birth to death certificate template"

[0649] 4. Adding an electronic signature

[0650] The server affixes an electronic signature to the required documents.

[0651] Example: "DEATH CERTIFICATION ELECTRONIC SIGNATURE"

[0652] 5. Generate and send documents

[0653] The generated document is sent in PDF format to the user's terminal, where the user can check and modify it.

[0654] Example: "Send in PDF format" → "User checks and manually enters corrections"

[0655] 6. Printing

[0656] The document confirmed by the user is printed using a network printing service.

[0657] Example: "Generate print code" → "Print at a nearby convenience store"

[0658] In this way, users can use the system to efficiently create multiple documents at once, significantly reducing the time and effort required, making it a very useful system, especially for the elderly and people with disabilities.

[0659] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0660] Step 1:

[0661] The user enters information into the terminal

[0662] Users access the system's web application using a device such as a PC, smartphone, or tablet. An input form is displayed, and the user enters the required information, such as the name of the deceased, date of birth, and personal information of the applicant. The entered data is collected through text boxes, drop-down menus, check boxes, etc.

[0663] input:

[0664] The user enters the name of the deceased, date of birth, and personal information of the applicant into the input form.

[0665] output:

[0666] Information entered into a user's terminal.

[0667] Specific behavior:

[0668] The user operates input buttons and text boxes on the device's browser.

[0669] Step 2:

[0670] Sending data from the device to the server

[0671] The information entered by the user is sent to the server by clicking the "Submit" button, where the data is encrypted using the SSL / TLS protocol. A JavaScript event handler is triggered, and an AJAX request is sent. The request is in JSON format.

[0672] input:

[0673] Data entered by the user into the terminal.

[0674] output:

[0675] The JSON formatted data sent to the server.

[0676] Specific behavior:

[0677] The user clicks the "Submit" button and the event handler sends an AJAX request to the server.

[0678] Step 3:

[0679] Data storage on the server

[0680] The server stores the received data in a database, typically a relational database such as MySQL or PostgreSQL. It uses the Python Flask framework to receive the request data and insert it into the database using the appropriate SQL statements.

[0681] input:

[0682] The JSON formatted data sent to the server.

[0683] output:

[0684] User information stored in a database.

[0685] Specific behavior:

[0686] The server receives the data and executes the SQL statement "INSERT INTO user_data (name, birthdate, applicant_info) VALUES ('Name of the Deceased', 'Birthdate', 'Applicant's Personal Information')".

[0687] Step 4:

[0688] Automatic data transcription

[0689] The server automatically transcribes information into multiple document templates based on the information stored in the database, and uses Jinja2 as the template engine to insert the corresponding information into the document templates.

[0690] input:

[0691] User information stored in a database.

[0692] output:

[0693] Transcription of information in a format appropriate for each document template.

[0694] Specific behavior:

[0695] The server uses the Jinja2 template engine to fill in the "Death Notification Template" with the name and date of birth of the deceased.

[0696] Step 5:

[0697] Adding an electronic signature

[0698] The server checks whether a digital signature is required for the transcribed document, and if so, grants it. The digital signature is generated using public key infrastructure (PKI) technology, and uses Python's cryptography library to calculate a hash value and generate the digital signature.

[0699] input:

[0700] Posted document template.

[0701] output:

[0702] A document with an electronic signature.

[0703] Specific behavior:

[0704] The server calculates the hash value of the document, generates a digital signature, and embeds it in the PDF file.

[0705] Step 6:

[0706] Document generation and submission

[0707] Once the document has been transcribed and electronically signed, it is generated in a format such as PDF and sent to the user's device. The PDF file is generated using the Python ReportLab library and sent to the user's device as an HTTP response.

[0708] input:

[0709] A document template with an electronic signature.

[0710] output:

[0711] The document sent to the user in PDF format.

[0712] Specific behavior:

[0713] The server generates a PDF file using the ReportLab library and sends it to the user's device as an HTTP response.

[0714] Step 7:

[0715] User correction input

[0716] The user can check the generated document and make any necessary corrections. Corrections can be entered using the correction form in the web application or by handwriting on a tablet. The corrected data is sent back to the server and reflected in the document.

[0717] input:

[0718] User-modified data.

[0719] output:

[0720] Corrected document data.

[0721] Specific behavior:

[0722] The user enters and submits the correction data using a correction form or tablet.

[0723] Step 8:

[0724] Printing documents

[0725] Once the user has confirmed and corrected the document, they can print it using the network printing service. The server uses the network printing service API to generate a print code and provides it to the user. The user then enters the print code into the convenience store printer to print the document.

[0726] input:

[0727] Document data after confirmation and correction.

[0728] output:

[0729] Printing code and printed documents.

[0730] Specific behavior:

[0731] The server calls the network printing service API, generates a print code, and displays it on the user's device. The user then enters the code into a printer at a convenience store to print the document.

[0732] The above is a detailed description of the specific processing steps and associated operations of this system.

[0733] (Application example 1)

[0734] 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."

[0735] Traditionally, application procedures at brick-and-mortar stores have been tedious and often require the manual completion of numerous documents. This is particularly true for ceremonial occasions and various contract procedures, where the same information must be entered multiple times on multiple documents and then signed, which is time-consuming and labor-intensive. This process is extremely difficult for elderly and physically disabled users, and there is a need to improve its efficiency.

[0736] 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.

[0737] In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting the data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an affixing means for affixing an electronic signature to the document transcribed by the transcription means, a generation means for sending the generated document to a user terminal, and an output means for making the document generated by the generation means printable on an in-store printer. This streamlines application procedures in physical stores, enables automatic generation of multiple documents with a single information input, and enables quick electronic signatures and printouts.

[0738] "Personal information" refers to information that identifies an individual, including name, address, telephone number, date of birth, etc.

[0739] "Input means" refers to a device or application that allows a user to input personal information.

[0740] "Transmission means" refers to a mechanism for transmitting input data to a server.

[0741] "Storage means" refers to a system for storing transmitted data in a database.

[0742] "Document template" refers to a fixed format used for automatic transcription.

[0743] "Transfer means" refers to the process of automatically filling in document templates with stored data.

[0744] An "electronic signature" is a digital signature that guarantees the authenticity and security of a document.

[0745] "Applying means" refers to the function of applying an electronic signature to a transcribed document.

[0746] "Generation means" refers to the function that digitally generates transcribed and digitally signed documents.

[0747] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC.

[0748] "Output means" refers to a function for actually printing the generated document.

[0749] The system for implementing this invention provides the function of inputting personal information, automatically transcribing that information into multiple documents, adding an electronic signature, and printing the generated documents on an in-store printer. Specifically, this system is realized with the following configuration.

[0750] System Configuration

[0751] 1. User Device

[0752] Users access the system using a smartphone, tablet, or PC, and enter their personal information using the terminal.

[0753] 2. Input Method

[0754] It provides an interface for users to enter personal information, supporting multiple input formats such as text fields, drop-down menus, and checkboxes.

[0755] 3. Transmission Method

[0756] The entered data is securely transmitted to the server using the HTTPS protocol.

[0757] 4. Preservation means

[0758] The server stores the received data in a database (e.g., PostgreSQL), which ensures data reliability and security.

[0759] 5. Transcription Method

[0760] The server automatically transcribes the information into multiple document templates (PDF format) based on the stored data, using a template engine (e.g. Handlebars.js).

[0761] 6. Means of Granting

[0762] The server digitally signs the transcribed document, a process that uses digital signature technology (e.g., DigiCert API).

[0763] 7. Generation means

[0764] The server generates a PDF of the transcribed and signed document and sends it to the user's device using a PDF generation library such as PDFKit.

[0765] 8. Output Method

[0766] The user checks the generated document and generates a QR code for printing on an in-store printer. The document can then be printed by scanning the QR code with the in-store printer.

[0767] Examples of use

[0768] As an example, consider the membership registration process at a brick-and-mortar store.

[0769] 1. Enter your information

[0770] Example prompt: "Please enter your registration information."

[0771] Users access the application from their smartphone or PC and enter information such as their name, address, and contact details.

[0772] 2. Data transmission and storage

[0773] Data entered from the user's terminal is sent to the server via HTTPS, and the server stores the received data in a PostgreSQL database.

[0774] 3. Transcription of data and electronic signature

[0775] The server uses the stored data to automatically transcribe document templates such as membership cards and contracts, and digitally sign the applied documents using the DigiCert API.

[0776] 4. Creating and Sending Documents

[0777] The generated PDF file is sent to the user's smartphone or PC, where the user can review the document and make any necessary corrections.

[0778] 5. In-store printing

[0779] Once the corrections are complete, the document is generated as a QR code, which the user holds up to the in-store printer to print.

[0780] In this way, procedures at physical stores are greatly simplified and efficiency is achieved.

[0781] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0782] Step 1: Enter your information

[0783] Users access the application from their smartphone or PC and follow the prompt to "Please enter your information for membership registration," entering personal information such as name, address, contact details, etc. The data entered here is in text format and temporarily stored on the user's device.

[0784] Step 2: Sending data

[0785] The user terminal securely transmits the entered personal information to the server via the HTTPS protocol. At this time, the data is converted into JSON format. The input is text data, and the output is the JSON format data sent to the server.

[0786] Step 3: Save your data

[0787] The server parses the received JSON format data and stores it in the database (PostgreSQL). Specifically, the server parses the received data and inserts it into the database columns corresponding to each field. The input is JSON data, and the output is a record stored in the database.

[0788] Step 4: Transcribing the data

[0789] The server automatically transcribes the information into document templates such as membership cards and contracts based on the stored data. This process uses a template engine (Handlebars.js). The input is the record retrieved from the database, and the output is a document with the information reflected in the template.

[0790] Step 5: Applying an electronic signature

[0791] The server then digitally signs the transcribed document. This is done using the DigiCert API. Specifically, the server sends the transcribed document to the API and receives the signed document. The input is the transcribed document data, and the output is the document with the digital signature.

[0792] Step 6: Generate and send the document

[0793] The server generates a PDF document with a digital signature and sends it to the user's device. The PDFKit library is used for generation. The input is the digitally signed document data, and the output is a PDF document.

[0794] Step 7: Review and correct the document

[0795] The user can check the PDF document sent to them on their smartphone or PC and make any necessary corrections. The corrections are sent back to the server and reflected in the database and template. The input is a PDF document, and the output is the corrected PDF document.

[0796] Step 8: Print to your in-store printer

[0797] A QR code is generated for the document after the user has confirmed and corrected it. This QR code is printed by holding it up to an in-store printer. Specifically, the server generates the QR code and sends it to the user's device. The input is the corrected PDF document, and the output is a printable QR code.

[0798] This series of processing steps significantly simplifies and streamlines the procedures at physical stores.

[0799] 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.

[0800] This invention combines an emotion engine that recognizes the user's emotions with the "Appendix Icchan-kun" system, which streamlines procedures related to ceremonial occasions. As a result, it realizes a system that is more user-friendly and contributes to reducing stress.

[0801] System configuration

[0802] 1. User Device

[0803] Users access "Apply All" using devices such as computers, smartphones, or tablets.

[0804] 2. Input Method

[0805] The user enters the necessary information (e.g., "Name of the deceased," "Date of birth," "Personal information") through a web application on the device. This input method includes text input, drop-down menus, and handwriting input.

[0806] 3. Transmission Method

[0807] The terminal transmits the information entered by the user to the server using a secure communication protocol.

[0808] 4. Preservation means

[0809] The server stores the information sent from the terminal in a database. The storage means provides high reliability and security.

[0810] 5. Transcription Method

[0811] The server automatically transfers the information from the stored data into multiple document templates, ensuring that the required fields are accurately filled out on each document.

[0812] 6. Means of Granting

[0813] The server checks whether an electronic seal is required for the transcribed document, and if necessary, affixes an electronic seal. The electronic seal uses digital signature technology.

[0814] 7. Generation means

[0815] The server generates the document after transcription and electronic seal addition in a format such as PDF and sends it to the user's device, where the user can view the generated document.

[0816] 8. How to input corrections

[0817] The user can check the generated document and make corrections as necessary. These corrections can be entered by hand using a tablet or other device, and the document is then sent back to the server.

[0818] 9. Printing means

[0819] Once the user has confirmed and corrected the document, they can print it using the online printing service. A print code is generated from the terminal via the server, allowing the document to be printed on a printer at a nearby convenience store.

[0820] 10. Emotion Engine

[0821] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions, and based on this information, the system provides appropriate support.

[0822] Program processing

[0823] The emotion engine uses the onboard camera and microphone to collect and analyze the user's facial and voice data to recognize emotions. For example, if the user is feeling stressed, the emotion engine will detect this and adapt the interface and support messages accordingly.

[0824] Example 1: A user requests a death certificate for their father.

[0825] 1. Entering and submitting information

[0826] The user accesses "Application Identification", enters the necessary information (the name of the deceased, date of birth, and the user's own personal information) and submits it.

[0827] 2. Data storage and transcription

[0828] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[0829] 3. Adding electronic seals and generating documents

[0830] An electronic seal is applied to the necessary documents, and the documents are generated and sent to the user terminal.

[0831] 4. Emotional awareness and adaptation

[0832] The emotion engine analyzes the user's face and voice, and if it recognizes that the user is feeling stressed, it simplifies the interface and displays a supportive message.

[0833] 5. Edit and print

[0834] The user checks and corrects the document and prints it using the online printing service.

[0835] This system not only allows users to efficiently fill out multiple documents by entering information once, but also reduces stress through its emotion engine, greatly simplifying the application process, especially for the elderly and those with disabilities.

[0836] The processing flow will be explained below.

[0837] Step 1: Enter your information

[0838] The user accesses the "Apply All at Once" web application.

[0839] The user fills in the form with the required personal information (e.g., the name of the deceased, date of birth, and their own personal information).

[0840] The terminal temporarily stores the contents of the input form.

[0841] Step 2: Recognize emotions

[0842] The device uses a camera and microphone to collect data about the user's face and voice.

[0843] The device sends the collected data to the emotion engine.

[0844] The emotion engine analyzes the user's facial expressions and voice to recognize their current emotional state.

[0845] Step 3: Adapting the interface

[0846] The emotion engine automatically adjusts the interface based on the emotions it recognizes.

[0847] Example: If the device detects that the user is stressed, it will simplify the form and display support messages and guidance.

[0848] Step 4: Sending data

[0849] The user clicks the "Submit" button.

[0850] The terminal transmits the input information to the server.

[0851] The transmission protocol uses a secure communication method.

[0852] Step 5: Save your data

[0853] The server stores the received information in a database.

[0854] The server confirms that the save was successful and returns a save success response to the terminal.

[0855] Step 6: Loading the template

[0856] The server loads the necessary document templates from a database based on the specified region and application details.

[0857] Examples include templates for death certificates, cremation permits, and life insurance claim forms.

[0858] Step 7: Transcribing the data

[0859] The server reads the saved user data and automatically transcribes the data into the loaded template.

[0860] For example: Each document is filled out accurately with the deceased person's name, date of birth, and personal information.

[0861] Step 8: Adding an electronic seal

[0862] The server confirms the need for an electronic signature.

[0863] If necessary, the server applies an electronic seal to the document using digital signature technology.

[0864] Step 9: Generate and submit documents

[0865] The server generates the transcribed and electronically stamped document in an appropriate format, such as PDF.

[0866] The server prepares the generated document for transmission to the user terminal.

[0867] Step 10: View and review documents

[0868] The terminal displays the generated document received from the server.

[0869] The user checks the displayed document and enters corrections as necessary.

[0870] Step 11: Submit your corrections

[0871] If the user inputs corrections and resubmits, the terminal transmits the correction data to the server.

[0872] The server regenerates the document based on the corrected data and sends it to the terminal again.

[0873] Step 12: Choose to print or submit electronically

[0874] After completing the document verification, the user can choose to either print or submit electronically.

[0875] The terminal initiates appropriate processing depending on the user's selection.

[0876] Step 13: Use an online printing service

[0877] If printing is selected, the terminal transmits data for using the net print service to the server.

[0878] The server prepares the print data, generates a print code and returns it to the terminal.

[0879] The user uses the print code to print the document on a printer at a convenience store or the like.

[0880] Step 14: Electronic submission

[0881] If electronic submission is selected, the terminal designates a destination, and the server electronically submits the document with the digital signature to the designated destination.

[0882] Through this specific process, the "Application Bulk" system reduces user stress by adding an emotion engine, enabling users to efficiently create multiple application documents.

[0883] Example 2

[0884] 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."

[0885] Currently, procedures related to ceremonial occasions are time-consuming and place a significant burden on the elderly and physically disabled. Furthermore, procedures placed under circumstances where mental stress is likely to increase create an even greater burden. Conventional systems lack the efficiency of these procedures and provide support that takes into consideration the user's emotions. The purpose of this invention is to solve these problems and provide a system that is easier to use and less stressful for users.

[0886] 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. In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting data input by the input means to the processing device, a storage means for saving the data sent by the transmission means in a storage device, a transcription means for automatically transcribing information into multiple document templates based on the saved data, an affixing means for affixing a digital signature to the document transcribed by the transcription means, a generation means for transmitting the generated document to a user device, and an emotion recognition means for analyzing data of the user's face and voice and recognizing their emotion. This makes it possible to efficiently create multiple documents by inputting information once, and to reduce stress by taking into consideration the user's emotions.

[0887] "Personal information" refers to information about a user that can identify the individual, such as name, date of birth, and address.

[0888] "Input means" refers to an interface or device that allows a user to input personal information or other necessary information into the system.

[0889] The "transmission means" refers to a means for transmitting data input by the input means to a server or other device.

[0890] "Processing device" refers to a computer device or server that transmits and receives data.

[0891] "Memory device" refers to a database or storage device for saving data.

[0892] "Storage means" refers to a means for safely storing acquired data in a storage device.

[0893] "Transcribing means" refers to a means for automatically transcribing information into a document template based on stored data.

[0894] A "document template" refers to a pre-set format or template for a specific document type.

[0895] "Means of granting" refers to the technology or means for granting an electronic signature or electronic seal to a document.

[0896] "Electronic signature" refers to a technology for verifying the authenticity and tamper-proofness of digital information.

[0897] The "generation means" refers to a means for generating a document that has been transcribed and digitally signed, and transmitting the document to a user device.

[0898] "User device" refers to a terminal used by a user, such as a personal computer, smartphone, or tablet.

[0899] "Emotion recognition means" refers to a means for recognizing emotions by analyzing the user's facial and voice data.

[0900] This invention is a system for streamlining procedures related to ceremonial occasions and reducing user stress. This system is composed of a combination of "Application Identification" and an emotion engine that performs emotion analysis. Users can access the system using devices such as PCs, smartphones, and tablets.

[0901] System Components

[0902] User terminal

[0903] Users access the app using a computer, smartphone, or tablet. The device is equipped with a camera and microphone, which the emotion engine uses to analyze the user's facial expressions and voice.

[0904] Input Method

[0905] Users input the required information through a web application on their device, using input methods including text entry, drop-down menus, and handwriting.

[0906] Transmission method

[0907] The device sends the entered information to the server using a secure communication method (e.g., HTTPS).

[0908] Preservation means

[0909] The server stores the submitted data in a reliable database (e.g., Amazon RDS, MySQL), and performs transaction management to ensure the data is stored correctly.

[0910] Transcription Method

[0911] The server automatically transcribes information into various document templates (e.g. PDF templates) based on the saved data, ensuring that information entered by the user once is accurately reflected in multiple documents.

[0912] Granting means

[0913] The server then digitally signs the transcribed document (e.g., using OpenSSL), ensuring that the document is tamper-proof and authentic.

[0914] generation means

[0915] The server generates a PDF of the document after transcription and digital signature is completed and sends it to the user's device, where the user can view the generated document.

[0916] Input method for correction

[0917] The user checks the generated document and, if necessary, makes corrections by handwriting, etc. After making corrections, the document is sent back to the server.

[0918] printing means

[0919] Once the user has confirmed and corrected the document, they can print it using an online printing service (e.g., a printing service at a convenience store). The terminal generates a print code via the server and provides it to the user.

[0920] emotion recognition means

[0921] The emotion engine uses the camera and microphone to collect facial and voice data, and then analyzes emotions using Microsoft Azure Cognitive Services and Google Cloud Natural Language API. If the user is feeling stressed, the interface is simplified and a support message is displayed.

[0922] Examples of prompt statements

[0923] "We would like to develop a system that streamlines wedding and funeral procedures and reduces user stress. Please write a program that can input information for application procedures, save data, automatically transcribe, add electronic signatures, generate documents, and recognize emotions."

[0924] Specific examples

[0925] Example 1: A user requests a death certificate for their father.

[0926] The user accesses "Application Identification" and enters the name, date of birth, and personal information of the deceased. This information is then sent to the server by clicking the send button. The server saves the received data and automatically transcribes it into the required document template. A document with a digital signature is generated and sent to the user's device. The user then checks the document, makes any necessary corrections, and finally prints it using an online printing service. The emotion engine analyzes the user's face and voice, and if they appear stressed, it displays a supportive message or a simplified interface.

[0927] This system allows users to efficiently fill out multiple documents by entering information once, and its emotion engine is expected to reduce stress, greatly simplifying the application process, especially for the elderly and those with disabilities.

[0928] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0929] Step 1: Enter your information

[0930] Users access the "Appendix Icchan" web application using a PC, smartphone, or tablet. They enter the required data, such as the name of the deceased, their date of birth, and their own personal information. The entered data is retrieved from text boxes and drop-down menus on the web form. The input includes basic information about the deceased, their date of birth, and the submitter's personal information. Based on this input, the information is sent to the backend.

[0931] Step 2: Submitting input data

[0932] The device sends the information entered by the user to the server using a secure communication protocol (HTTPS). The data sent includes personal information entered by the user and information about the deceased. The data received as input is encoded and sent to the server. The server receives it and returns a confirmation message to the device.

[0933] Step 3: Save your data

[0934] The server stores the received data in a reliable database (e.g., Amazon RDS, MySQL). Before storing it, it checks the integrity of the data and verifies that there is no invalid data. The input is the personal information sent, and the output is a confirmation that the data was correctly stored in the database.

[0935] Step 4: Transfer data to document template

[0936] The server automatically transcribes information into document templates (PDF templates) based on the saved data. Templates include death certificates, cremation permits, life insurance claims, etc. The saved data is transcribed into the corresponding fields of the template, and each document template is completed as output.

[0937] Step 5: Applying an electronic signature

[0938] The server then digitally signs the document (digital signature technology: OpenSSL) that has been transcribed into the template. Digital signing is the process of creating a digital signature to prevent unauthorized alteration of the document and then attaching it to the document. The input is the completed template, and the output is a signed document.

[0939] Step 6: Generate and submit documents

[0940] The server generates a PDF of the document with the digital signature completed and sends it to the user's device. The document sent is a generated PDF file, which the user receives and reviews on their device. The input is the signed document, and the output is a PDF link that the user can access.

[0941] Step 7: Check and correct documents

[0942] The user checks the document sent on the terminal and makes corrections as necessary using functions such as handwriting input. After making corrections, the corrected data is sent back to the server. The input is the information corrected by the user, and the output is the updated document data.

[0943] Step 8: Resubmit the corrected data

[0944] The terminal sends the corrected document data back to the server. The server then stores the received corrected data in a storage device. In this process, the corrected data is sent and stored. The input is the corrected data, and the output is the correction information stored in the database.

[0945] Step 9: Print your documents

[0946] After the user has confirmed and corrected the document, they can print it using an online printing service (e.g., a convenience store's online printing service). The terminal generates a print code via the server and provides it to the user. The input is the final confirmed document, and the output is the print code for printing.

[0947] Step 10: Recognize and respond to user emotions

[0948] The emotion engine uses a camera and microphone to collect data on the user's face and voice, and performs emotion analysis using Microsoft Azure Cognitive Services and Google Cloud Natural Language API. The input is the user's face and voice data, and the output is an analysis of the user's emotional state. If the user is feeling stressed, the system simplifies the interface and displays a supportive message.

[0949] (Application example 2)

[0950] 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."

[0951] Conventional customer service systems struggled to take into account customer emotions and were unable to provide the best resources to improve customer satisfaction. Furthermore, even when customers were feeling stressed, they could only provide a uniform response, limiting improvements to the customer experience. These challenges made it difficult to provide services that satisfied customers.

[0952] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an assignment means for assigning an electronic seal to the document transcribed by the transcription means, a generation means for sending the generated document to a user terminal, and an emotion analysis means for recognizing the user's emotion and suggesting an appropriate response method. This makes it possible to recognize the customer's emotion in real time and suggest an appropriate response method accordingly, which is expected to improve customer satisfaction.

[0953] "Personal information" refers to information that identifies an individual, such as the user's name, contact information, and address.

[0954] "Input means" refers to an interface for a user to input information, and includes devices such as a keyboard, a touch screen, and voice input.

[0955] "Transmission means" refers to the communication protocol and device that transmits the input data to the server.

[0956] "Storage means" refers to the technology and equipment used to store the transmitted data in a database or storage device.

[0957] "Transcriber" means an algorithm and system for automatically transcribing stored data into multiple document templates.

[0958] "Applying instrument" refers to the technology and devices used to apply electronic signatures or marks to transcribed documents.

[0959] "Generation means" refers to the technology and system for transmitting the generated document to the user terminal.

[0960] The "emotion analysis means" is an engine and software for analyzing the user's facial expressions and voice and recognizing their emotions.

[0961] MODE FOR CARRYING OUT THE INVENTION

[0962] This invention aims to realize a customer service system that takes into account the emotions of customers, and is a system that efficiently performs everything from inputting personal information to generating documents and analyzing emotions. Below is a specific method for implementing this system.

[0963] 1. User Device

[0964] Users use the system through smart glasses, which are equipped with a built-in camera and microphone, and can collect the user's facial expressions and voice in real time.

[0965] 2. Input Method

[0966] The interface for users to input information can be voice, touch, or other biometric technologies, such as the touchpad or voice recognition capabilities of smart glasses.

[0967] 3. Transmission Method

[0968] The data entered by the user is sent to the server via the Internet using the security protocol SSL / TLS, which protects the data with end-to-end encryption.

[0969] 4. Preservation means

[0970] The transmitted data is stored in a database on the server, typically a relational database such as MySQL or PostgreSQL.

[0971] 5. Transcription Method

[0972] Based on the stored data, a special algorithm automatically transcribes the information into a document template, which can be a PDF or Word file.

[0973] 6. Means of Granting

[0974] Digital signature technology (e.g., Public Key Infrastructure: PKI) is used to electronically sign transcribed documents, thereby ensuring their authenticity.

[0975] 7. Generation means

[0976] The generated document is converted into PDF format and sent back to the user's device, where the user can view it on the display of the smart glasses.

[0977] 8. Emotion analysis method

[0978] The data collected by the built-in camera and microphone is analyzed in real time by an emotion analysis engine (e.g., Google Cloud Vision API, IBM Watson Tone Analyzer). The system recognizes emotions from the user's facial expressions and voice, and based on the results, displays appropriate responses on the smart glasses.

[0979] Specific examples

[0980] For example, if a customer is having trouble choosing a product, the smart glasses will display a message saying, "You are looking for help. Please call us for assistance." Based on this message, the store clerk can immediately provide appropriate assistance.

[0981] Prompt Sentence Examples

[0982] Examples of prompts to use with generative AI models include:

[0983] "Write a program that uses an emotion recognition engine to show how to respond to a customer's emotions in real time."

[0984] "Assuming that the application installed on the smart glasses has the ability to recognize emotions from the customer's facial expressions and voice and display appropriate advice to the store clerk, please provide an example implementation in Python."

[0985] In this way, the system can recognize customer emotions in real time and suggest appropriate responses to store staff, thereby improving customer satisfaction.

[0986] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0987] Step 1:

[0988] The user puts on the smart glasses and the built-in camera and microphone are activated. The camera captures the customer's facial expressions in real time, and the microphone records the conversation with the customer. This inputs the customer's facial image data and voice data.

[0989] Step 2:

[0990] The facial image data and audio data collected by the device are preprocessed. The facial image data is converted to grayscale using the OpenCV library to detect the face region. The audio data is converted to text using the Google Cloud Speech-to-Text API. The preprocessed data is output.

[0991] Step 3:

[0992] The device sends the preprocessed facial image data and voice text data to the server via the Internet. SSL / TLS is used as the transmission protocol. This inputs the preprocessed data into the server.

[0993] Step 4:

[0994] The server inputs the received facial image data and voice text data into an emotion analysis engine (e.g., Google Cloud Vision API, IBM Watson Tone Analyzer). These engines analyze the data and recognize the customer's emotions. The recognized emotion data is output.

[0995] Step 5:

[0996] The server runs an algorithm based on the recognized emotion data to determine the appropriate response. For example, specific advice such as "smile" or "keep your distance" is generated. As a result, data on the appropriate response is output.

[0997] Step 6:

[0998] The server transmits the generated response method data to the terminal, whereby the response method data is input into the terminal.

[0999] Step 7:

[1000] The device receives data on how to respond and displays it on the smart glasses' display. Specifically, it uses the smart glasses' API to display a message such as "This person is requesting help. Please call out to provide support." Instructions on how to respond to the customer are output.

[1001] Step 8:

[1002] The user (store clerk) follows the instructions displayed on the screen to respond appropriately to the customer's emotions, for example, by speaking to them to offer support or by keeping a little distance. This improves customer satisfaction.

[1003] The system recognizes customer emotions in real time and suggests appropriate responses to store staff, thereby improving the customer experience.

[1004] 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.

[1005] 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.

[1006] 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.

[1007] [Third embodiment]

[1008] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1009] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1010] 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).

[1011] 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.

[1012] 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.

[1013] 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).

[1014] 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.

[1015] 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.

[1016] 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.

[1017] 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.

[1018] 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.

[1019] 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."

[1020] This invention provides a system called "Application Immigration Kun" that automatically transfers information to multiple related documents with a single input, and generates documents by adding an electronic seal as needed, in order to streamline application procedures related to ceremonial occasions. Specific embodiments of this system are described below.

[1021] System configuration

[1022] 1. User Device

[1023] Users access "Application Bulk" using devices such as computers, smartphones, or tablets.

[1024] 2. Input Method

[1025] The user enters the necessary information (e.g., "Name of the deceased," "Date of birth," "Personal information of the applicant," etc.) through a web application on the terminal. This input method can be text input, drop-down menus, or handwriting input.

[1026] 3. Transmission Method

[1027] The terminal transmits the information entered by the user to the server using a secure protocol to ensure that the entered data is not lost or tampered with.

[1028] 4. Preservation means

[1029] The server stores the information sent from the terminal in a database. This storage method is equipped with appropriate data protection functions to provide high reliability and security.

[1030] 5. Transcription Method

[1031] The server automatically transcribes information into multiple document templates based on the stored data, ensuring that each document accurately contains the required fields.

[1032] 6. Means of Granting

[1033] The server checks whether a digital seal is required for the transcribed document, and if so, automatically assigns one. The digital seal uses digital signature technology to guarantee the authenticity of the document.

[1034] 7. Generation means

[1035] The server generates the document after transcription and electronic seal addition in a format such as PDF and sends it to the user's device. The user can then view the generated document on their own device.

[1036] 8. How to input corrections

[1037] The user can check the generated document and make corrections as necessary. These corrections can be entered by hand using a tablet or other device, and the document is then sent back to the server.

[1038] 9. Printing means

[1039] Once the user has confirmed and corrected the document, they can print it using the online printing service. A print code is generated from the terminal via the server and provided to the user to print the document on a printer at a nearby convenience store.

[1040] Examples of use

[1041] Example 1: Application for father's death registration

[1042] 1. Enter your information

[1043] The user accesses "Application Immune-kun" and enters the name of their deceased father, their date of birth, and their own personal information.

[1044] 2. Data transmission

[1045] The terminal transmits the input data to the server.

[1046] 3. Data storage and transcription

[1047] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[1048] 4. Adding an electronic seal

[1049] The server affixes an electronic seal to the necessary documents.

[1050] 5. Generate and send documents

[1051] The generated document is sent in PDF format to the user's terminal, where the user can check and modify it.

[1052] 6. Printing

[1053] The document confirmed by the user is printed using a net print service.

[1054] In this way, by utilizing this system, users can efficiently create multiple application documents by entering information once, significantly reducing the amount of time and effort required. This system is extremely useful, especially for the elderly and those with physical disabilities.

[1055] The processing flow will be explained below.

[1056] Step 1: Enter your information

[1057] The user accesses the "Apply All at Once" web application.

[1058] The user fills in the form with the required personal information (e.g., the name of the deceased, date of birth, and their own personal information).

[1059] The terminal temporarily stores the contents of the input form.

[1060] Step 2: Sending data

[1061] The user clicks the "Submit" button.

[1062] The terminal transmits the input information to the server.

[1063] The transmission protocol uses a secure communication method.

[1064] Step 3: Save your data

[1065] The server stores the received information in a database.

[1066] The server confirms that the save was successful and returns a save success response to the terminal.

[1067] Step 4: Loading the template

[1068] The server loads the necessary document templates from a database based on the specified region and application details.

[1069] Examples include templates for death certificates, cremation permits, and life insurance claim forms.

[1070] Step 5: Transcribing the data

[1071] The server reads the saved user data and automatically transcribes the data into the loaded template.

[1072] For example: Each document is filled out accurately with the deceased person's name, date of birth, and personal information.

[1073] Step 6: Adding an electronic seal

[1074] The server confirms the need for an electronic signature.

[1075] If necessary, the server applies an electronic seal to the document using digital signature technology.

[1076] Step 7: Generate the document

[1077] The server generates the transcribed and electronically stamped document in an appropriate format, such as PDF.

[1078] The server prepares the generated document for transmission to the user terminal.

[1079] Step 8: View and review documents

[1080] The terminal displays the generated document received from the server.

[1081] The user checks the displayed document and enters corrections as necessary.

[1082] Step 9: Submit your corrections

[1083] If the user inputs corrections and resubmits, the terminal transmits the correction data to the server.

[1084] The server regenerates the document based on the corrected data and sends it to the terminal again.

[1085] Step 10: Choose to print or submit electronically

[1086] After completing the document verification, the user can choose to either print or submit electronically.

[1087] The terminal initiates appropriate processing depending on the user's selection.

[1088] Step 11: Use an online printing service

[1089] If printing is selected, the terminal transmits data for using the net print service to the server.

[1090] The server prepares the print data, generates a print code and returns it to the terminal.

[1091] The user uses the print code to print the document on a printer at a convenience store or the like.

[1092] Step 12: Electronic submission

[1093] If electronic submission is selected, the terminal designates a destination, and the server electronically submits the document with the digital signature to the designated destination.

[1094] Through the above steps, the "Application Identification" system enables users to efficiently create multiple documents with a single input, speeding up the application process.

[1095] Example 1

[1096] 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."

[1097] Conventional application procedures for ceremonial occasions require the creation of multiple separate documents and the entry of information into each, resulting in time-consuming and laborious processes. The same information must be entered multiple times, making it prone to input errors and omissions. Furthermore, each document must be individually digitally signed and printed, placing a particularly heavy burden on elderly people and those with physical disabilities. A system that can solve these problems and significantly streamline application procedures is needed.

[1098] 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.

[1099] In this invention, the server includes an input means for a user to input information using a terminal, a transmission means for transmitting the data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an affixing means for affixing an electronic signature to the document transcribed by the transcription means, and a generation means for transmitting the generated document to the user terminal. This enables a user to efficiently create multiple documents by inputting information once, and to affix an electronic signature and print them all at once.

[1100] "Input means" refers to means by which a user inputs information using a terminal.

[1101] The "transmission means" is a means for transmitting data input by the input means to the server.

[1102] The "storage means" is a means for storing the data transmitted by the transmission means in a database.

[1103] The "transcription means" is a means for automatically transcribing information into a plurality of document templates based on the stored data.

[1104] The "signing means" is a means for adding a digital signature to the document transcribed by the transcribing means.

[1105] The "creation means" is a means for transmitting the created document to the user terminal.

[1106] The "correction means" is a means by which a user inputs corrections to a generated document.

[1107] The "printing means" is a means for making the generated document printable using a network printing service.

[1108] An "electronic signature" is an electronic seal that uses digital signature technology to guarantee the authenticity of a document.

[1109] This invention is a system for automatically transcribing information to multiple related documents with a single input, and generating documents by adding electronic signatures as necessary, in order to streamline application procedures related to ceremonial occasions. This system includes input means, transmission means, storage means, transcription means, addition means, generation means, correction means, and printing means.

[1110] System configuration

[1111] 1. User Device

[1112] Users access the system using a device such as a PC, smartphone, or tablet, and then log in by accessing the web application using the browser on the device.

[1113] 2. Input Method

[1114] The user enters the required information using an input form on the web application, which provides various input methods such as text boxes, drop-down menus, and check boxes to enter the name and date of birth of the deceased person, as well as the applicant's personal information.

[1115] 3. Transmission Method

[1116] The user terminal sends the entered information to the server in encrypted form using the SSL / TLS protocol. Specifically, an AJAX request is sent and the request data is passed to the server in JSON format.

[1117] 4. Preservation means

[1118] The server stores the submitted information in a database using a relational database such as MySQL or PostgreSQL, with robust security measures in place to protect the data. For example, it executes the following SQL statement: "INSERT INTO user_data (name, birthdate, applicant_info) VALUES ('Name of the deceased', 'Birthdate', 'Personal information of the applicant')."

[1119] 5. Transcription Method

[1120] The server automatically transcribes the information stored in the database into multiple document templates, which are filled with information using a template engine such as Jinja2. For example, a death notification template includes the name and date of birth of the deceased.

[1121] 6. Means of Granting

[1122] The server checks whether a digital signature is required for the transcribed document and, if so, grants one. The digital signature is generated using public key infrastructure (PKI) technology, and uses Python's cryptography library to calculate a hash value and generate the digital signature.

[1123] 7. Generation means

[1124] The server generates the document after transcription and digital signature addition in a format such as PDF and sends it to the user's terminal. For this process, the Python ReportLab library is used to generate the PDF file and send it to the user's terminal as an HTTP response.

[1125] 8. Remedies

[1126] The user can check the generated document and make any necessary corrections. Corrections can be made using the correction form in the web application or by handwriting on a tablet. The corrected data is then sent back to the server and reflected in the document.

[1127] 9. Printing means

[1128] Once the user has confirmed and corrected the document, it can be printed using the network printing service. The server uses the network printing service API to generate a print code and provides it to the user. The user then enters the print code into the convenience store printer to print the document.

[1129] Specific examples

[1130] As a concrete example, we will explain the application for notification of the death of a father.

[1131] 1. Enter your information

[1132] The user accesses the system and enters the father's name, date of birth, and their own personal information.

[1133] For example: "Father's name: Deceased's name" "Date of birth: January 1, 1950" "Applicant's name: Applicant's name"

[1134] 2. Data transmission

[1135] The terminal transmits the input data to the server.

[1136] Example: Prompt text: "Send the entered information (father's name, date of birth, and applicant's personal information) to the server."

[1137] 3. Data storage and transcription

[1138] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[1139] Example: "Save to database" → "Transfer father's name and date of birth to death certificate template"

[1140] 4. Adding an electronic signature

[1141] The server affixes an electronic signature to the required documents.

[1142] Example: "DEATH CERTIFICATION ELECTRONIC SIGNATURE"

[1143] 5. Generate and send documents

[1144] The generated document is sent in PDF format to the user's terminal, where the user can check and modify it.

[1145] Example: "Send in PDF format" → "User checks and manually enters corrections"

[1146] 6. Printing

[1147] The document confirmed by the user is printed using a network printing service.

[1148] Example: "Generate print code" → "Print at a nearby convenience store"

[1149] In this way, users can use the system to efficiently create multiple documents at once, significantly reducing the time and effort required, making it a very useful system, especially for the elderly and people with disabilities.

[1150] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1151] Step 1:

[1152] The user enters information into the terminal

[1153] Users access the system's web application using a device such as a PC, smartphone, or tablet. An input form is displayed, and the user enters the required information, such as the name of the deceased, date of birth, and personal information of the applicant. The entered data is collected through text boxes, drop-down menus, check boxes, etc.

[1154] input:

[1155] The user enters the name of the deceased, date of birth, and personal information of the applicant into the input form.

[1156] output:

[1157] Information entered into a user's terminal.

[1158] Specific behavior:

[1159] The user operates input buttons and text boxes on the device's browser.

[1160] Step 2:

[1161] Sending data from the device to the server

[1162] The information entered by the user is sent to the server by clicking the "Submit" button, where the data is encrypted using the SSL / TLS protocol. A JavaScript event handler is triggered, and an AJAX request is sent. The request is in JSON format.

[1163] input:

[1164] Data entered by the user into the terminal.

[1165] output:

[1166] The JSON formatted data sent to the server.

[1167] Specific behavior:

[1168] The user clicks the "Submit" button and the event handler sends an AJAX request to the server.

[1169] Step 3:

[1170] Data storage on the server

[1171] The server stores the received data in a database, typically a relational database such as MySQL or PostgreSQL. It uses the Python Flask framework to receive the request data and insert it into the database using the appropriate SQL statements.

[1172] input:

[1173] The JSON formatted data sent to the server.

[1174] output:

[1175] User information stored in a database.

[1176] Specific behavior:

[1177] The server receives the data and executes the SQL statement "INSERT INTO user_data (name, birthdate, applicant_info) VALUES ('Name of the Deceased', 'Birthdate', 'Applicant's Personal Information')".

[1178] Step 4:

[1179] Automatic data transcription

[1180] The server automatically transcribes information into multiple document templates based on the information stored in the database, and uses Jinja2 as the template engine to insert the corresponding information into the document templates.

[1181] input:

[1182] User information stored in a database.

[1183] output:

[1184] Transcription of information in a format appropriate for each document template.

[1185] Specific behavior:

[1186] The server uses the Jinja2 template engine to fill in the "Death Notification Template" with the name and date of birth of the deceased.

[1187] Step 5:

[1188] Adding an electronic signature

[1189] The server checks whether a digital signature is required for the transcribed document, and if so, grants it. The digital signature is generated using public key infrastructure (PKI) technology, and uses Python's cryptography library to calculate a hash value and generate the digital signature.

[1190] input:

[1191] Posted document template.

[1192] output:

[1193] A document with an electronic signature.

[1194] Specific behavior:

[1195] The server calculates the hash value of the document, generates a digital signature, and embeds it in the PDF file.

[1196] Step 6:

[1197] Document generation and submission

[1198] Once the document has been transcribed and electronically signed, it is generated in a format such as PDF and sent to the user's device. The PDF file is generated using the Python ReportLab library and sent to the user's device as an HTTP response.

[1199] input:

[1200] A document template with an electronic signature.

[1201] output:

[1202] The document sent to the user in PDF format.

[1203] Specific behavior:

[1204] The server generates a PDF file using the ReportLab library and sends it to the user's device as an HTTP response.

[1205] Step 7:

[1206] User correction input

[1207] The user can check the generated document and make any necessary corrections. Corrections can be entered using the correction form in the web application or by handwriting on a tablet. The corrected data is sent back to the server and reflected in the document.

[1208] input:

[1209] User-modified data.

[1210] output:

[1211] Corrected document data.

[1212] Specific behavior:

[1213] The user enters and submits the correction data using a correction form or tablet.

[1214] Step 8:

[1215] Printing documents

[1216] Once the user has confirmed and corrected the document, they can print it using the network printing service. The server uses the network printing service API to generate a print code and provides it to the user. The user then enters the print code into the convenience store printer to print the document.

[1217] input:

[1218] Document data after confirmation and correction.

[1219] output:

[1220] Printing code and printed documents.

[1221] Specific behavior:

[1222] The server calls the network printing service API, generates a print code, and displays it on the user's device. The user then enters the code into a printer at a convenience store to print the document.

[1223] The above is a detailed description of the specific processing steps and associated operations of this system.

[1224] (Application example 1)

[1225] 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."

[1226] Traditionally, application procedures at brick-and-mortar stores have been tedious and often require the manual completion of numerous documents. This is particularly true for ceremonial occasions and various contract procedures, where the same information must be entered multiple times on multiple documents and then signed, which is time-consuming and labor-intensive. This process is extremely difficult for elderly and physically disabled users, and there is a need to improve its efficiency.

[1227] 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.

[1228] In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting the data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an affixing means for affixing an electronic signature to the document transcribed by the transcription means, a generation means for sending the generated document to a user terminal, and an output means for making the document generated by the generation means printable on an in-store printer. This streamlines application procedures in physical stores, enables automatic generation of multiple documents with a single information input, and enables quick electronic signatures and printouts.

[1229] "Personal information" refers to information that identifies an individual, including name, address, telephone number, date of birth, etc.

[1230] "Input means" refers to a device or application that allows a user to input personal information.

[1231] "Transmission means" refers to a mechanism for transmitting input data to a server.

[1232] "Storage means" refers to a system for storing transmitted data in a database.

[1233] "Document template" refers to a fixed format used for automatic transcription.

[1234] "Transfer means" refers to the process of automatically filling in document templates with stored data.

[1235] An "electronic signature" is a digital signature that guarantees the authenticity and security of a document.

[1236] "Applying means" refers to the function of applying an electronic signature to a transcribed document.

[1237] "Generation means" refers to the function that digitally generates transcribed and digitally signed documents.

[1238] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC.

[1239] "Output means" refers to a function for actually printing the generated document.

[1240] The system for implementing this invention provides the function of inputting personal information, automatically transcribing that information into multiple documents, adding an electronic signature, and printing the generated documents on an in-store printer. Specifically, this system is realized with the following configuration.

[1241] System Configuration

[1242] 1. User Device

[1243] Users access the system using a smartphone, tablet, or PC, and enter their personal information using the terminal.

[1244] 2. Input Method

[1245] It provides an interface for users to enter personal information, supporting multiple input formats such as text fields, drop-down menus, and checkboxes.

[1246] 3. Transmission Method

[1247] The entered data is securely transmitted to the server using the HTTPS protocol.

[1248] 4. Preservation means

[1249] The server stores the received data in a database (e.g., PostgreSQL), which ensures data reliability and security.

[1250] 5. Transcription Method

[1251] The server automatically transcribes the information into multiple document templates (PDF format) based on the stored data, using a template engine (e.g. Handlebars.js).

[1252] 6. Means of Granting

[1253] The server digitally signs the transcribed document, a process that uses digital signature technology (e.g., DigiCert API).

[1254] 7. Generation means

[1255] The server generates a PDF of the transcribed and signed document and sends it to the user's device using a PDF generation library such as PDFKit.

[1256] 8. Output Method

[1257] The user checks the generated document and generates a QR code for printing on an in-store printer. The document can then be printed by scanning the QR code with the in-store printer.

[1258] Examples of use

[1259] As an example, consider the membership registration process at a brick-and-mortar store.

[1260] 1. Enter your information

[1261] Example prompt: "Please enter your registration information."

[1262] Users access the application from their smartphone or PC and enter information such as their name, address, and contact details.

[1263] 2. Data transmission and storage

[1264] Data entered from the user's terminal is sent to the server via HTTPS, and the server stores the received data in a PostgreSQL database.

[1265] 3. Transcription of data and electronic signature

[1266] The server uses the stored data to automatically transcribe document templates such as membership cards and contracts, and digitally sign the applied documents using the DigiCert API.

[1267] 4. Creating and Sending Documents

[1268] The generated PDF file is sent to the user's smartphone or PC, where the user can review the document and make any necessary corrections.

[1269] 5. In-store printing

[1270] Once the corrections are complete, the document is generated as a QR code, which the user holds up to the in-store printer to print.

[1271] In this way, procedures at physical stores are greatly simplified and efficiency is achieved.

[1272] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1273] Step 1: Enter your information

[1274] Users access the application from their smartphone or PC and follow the prompt to "Please enter your information for membership registration," entering personal information such as name, address, contact details, etc. The data entered here is in text format and temporarily stored on the user's device.

[1275] Step 2: Sending data

[1276] The user terminal securely transmits the entered personal information to the server via the HTTPS protocol. At this time, the data is converted into JSON format. The input is text data, and the output is the JSON format data sent to the server.

[1277] Step 3: Save your data

[1278] The server parses the received JSON format data and stores it in the database (PostgreSQL). Specifically, the server parses the received data and inserts it into the database columns corresponding to each field. The input is JSON data, and the output is a record stored in the database.

[1279] Step 4: Transcribing the data

[1280] The server automatically transcribes the information into document templates such as membership cards and contracts based on the stored data. This process uses a template engine (Handlebars.js). The input is the record retrieved from the database, and the output is a document with the information reflected in the template.

[1281] Step 5: Applying an electronic signature

[1282] The server then digitally signs the transcribed document. This is done using the DigiCert API. Specifically, the server sends the transcribed document to the API and receives the signed document. The input is the transcribed document data, and the output is the document with the digital signature.

[1283] Step 6: Generate and send the document

[1284] The server generates a PDF document with a digital signature and sends it to the user's device. The PDFKit library is used for generation. The input is the digitally signed document data, and the output is a PDF document.

[1285] Step 7: Review and correct the document

[1286] The user can check the PDF document sent to them on their smartphone or PC and make any necessary corrections. The corrections are sent back to the server and reflected in the database and template. The input is a PDF document, and the output is the corrected PDF document.

[1287] Step 8: Print to your in-store printer

[1288] A QR code is generated for the document after the user has confirmed and corrected it. This QR code is printed by holding it up to an in-store printer. Specifically, the server generates the QR code and sends it to the user's device. The input is the corrected PDF document, and the output is a printable QR code.

[1289] This series of processing steps significantly simplifies and streamlines the procedures at physical stores.

[1290] 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.

[1291] This invention combines an emotion engine that recognizes the user's emotions with the "Appendix Icchan-kun" system, which streamlines procedures related to ceremonial occasions. As a result, it realizes a system that is more user-friendly and contributes to reducing stress.

[1292] System configuration

[1293] 1. User Device

[1294] Users access "Apply All" using devices such as computers, smartphones, or tablets.

[1295] 2. Input Method

[1296] The user enters the necessary information (e.g., "Name of the deceased," "Date of birth," "Personal information") through a web application on the device. This input method includes text input, drop-down menus, and handwriting input.

[1297] 3. Transmission Method

[1298] The terminal transmits the information entered by the user to the server using a secure communication protocol.

[1299] 4. Preservation means

[1300] The server stores the information sent from the terminal in a database. The storage means provides high reliability and security.

[1301] 5. Transcription Method

[1302] The server automatically transfers the information from the stored data into multiple document templates, ensuring that the required fields are accurately filled out on each document.

[1303] 6. Means of Granting

[1304] The server checks whether an electronic seal is required for the transcribed document, and if necessary, affixes an electronic seal. The electronic seal uses digital signature technology.

[1305] 7. Generation means

[1306] The server generates the document after transcription and electronic seal addition in a format such as PDF and sends it to the user's device, where the user can view the generated document.

[1307] 8. How to input corrections

[1308] The user can check the generated document and make corrections as necessary. These corrections can be entered by hand using a tablet or other device, and the document is then sent back to the server.

[1309] 9. Printing means

[1310] Once the user has confirmed and corrected the document, they can print it using the online printing service. A print code is generated from the terminal via the server, allowing the document to be printed on a printer at a nearby convenience store.

[1311] 10. Emotion Engine

[1312] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions, and based on this information, the system provides appropriate support.

[1313] Program processing

[1314] The emotion engine uses the onboard camera and microphone to collect and analyze the user's facial and voice data to recognize emotions. For example, if the user is feeling stressed, the emotion engine will detect this and adapt the interface and support messages accordingly.

[1315] Example 1: A user requests a death certificate for their father.

[1316] 1. Entering and submitting information

[1317] The user accesses "Application Identification", enters the necessary information (the name of the deceased, date of birth, and the user's own personal information) and submits it.

[1318] 2. Data storage and transcription

[1319] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[1320] 3. Adding electronic seals and generating documents

[1321] An electronic seal is applied to the necessary documents, and the documents are generated and sent to the user terminal.

[1322] 4. Emotional awareness and adaptation

[1323] The emotion engine analyzes the user's face and voice, and if it recognizes that the user is feeling stressed, it simplifies the interface and displays a supportive message.

[1324] 5. Edit and print

[1325] The user checks and corrects the document and prints it using the online printing service.

[1326] This system not only allows users to efficiently fill out multiple documents by entering information once, but also reduces stress through its emotion engine, greatly simplifying the application process, especially for the elderly and those with disabilities.

[1327] The processing flow will be explained below.

[1328] Step 1: Enter your information

[1329] The user accesses the "Apply All at Once" web application.

[1330] The user fills in the form with the required personal information (e.g., the name of the deceased, date of birth, and their own personal information).

[1331] The terminal temporarily stores the contents of the input form.

[1332] Step 2: Recognize emotions

[1333] The device uses a camera and microphone to collect data about the user's face and voice.

[1334] The device sends the collected data to the emotion engine.

[1335] The emotion engine analyzes the user's facial expressions and voice to recognize their current emotional state.

[1336] Step 3: Adapting the interface

[1337] The emotion engine automatically adjusts the interface based on the emotions it recognizes.

[1338] Example: If the device detects that the user is stressed, it will simplify the form and display support messages and guidance.

[1339] Step 4: Sending data

[1340] The user clicks the "Submit" button.

[1341] The terminal transmits the input information to the server.

[1342] The transmission protocol uses a secure communication method.

[1343] Step 5: Save your data

[1344] The server stores the received information in a database.

[1345] The server confirms that the save was successful and returns a save success response to the terminal.

[1346] Step 6: Loading the template

[1347] The server loads the necessary document templates from a database based on the specified region and application details.

[1348] Examples include templates for death certificates, cremation permits, and life insurance claim forms.

[1349] Step 7: Transcribing the data

[1350] The server reads the saved user data and automatically transcribes the data into the loaded template.

[1351] For example: Each document is filled out accurately with the deceased person's name, date of birth, and personal information.

[1352] Step 8: Adding an electronic seal

[1353] The server confirms the need for an electronic signature.

[1354] If necessary, the server applies an electronic seal to the document using digital signature technology.

[1355] Step 9: Generate and submit documents

[1356] The server generates the transcribed and electronically stamped document in an appropriate format, such as PDF.

[1357] The server prepares the generated document for transmission to the user terminal.

[1358] Step 10: View and review documents

[1359] The terminal displays the generated document received from the server.

[1360] The user checks the displayed document and enters corrections as necessary.

[1361] Step 11: Submit your corrections

[1362] If the user inputs corrections and resubmits, the terminal transmits the correction data to the server.

[1363] The server regenerates the document based on the corrected data and sends it to the terminal again.

[1364] Step 12: Choose to print or submit electronically

[1365] After completing the document verification, the user can choose to either print or submit electronically.

[1366] The terminal initiates appropriate processing depending on the user's selection.

[1367] Step 13: Use an online printing service

[1368] If printing is selected, the terminal transmits data for using the net print service to the server.

[1369] The server prepares the print data, generates a print code and returns it to the terminal.

[1370] The user uses the print code to print the document on a printer at a convenience store or the like.

[1371] Step 14: Electronic submission

[1372] If electronic submission is selected, the terminal designates a destination, and the server electronically submits the document with the digital signature to the designated destination.

[1373] Through this specific process, the "Application Bulk" system reduces user stress by adding an emotion engine, enabling users to efficiently create multiple application documents.

[1374] Example 2

[1375] 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."

[1376] Currently, procedures related to ceremonial occasions are time-consuming and place a significant burden on the elderly and physically disabled. Furthermore, procedures placed under circumstances where mental stress is likely to increase create an even greater burden. Conventional systems lack the efficiency of these procedures and provide support that takes into consideration the user's emotions. The purpose of this invention is to solve these problems and provide a system that is easier to use and less stressful for users.

[1377] 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. In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting data input by the input means to the processing device, a storage means for saving the data sent by the transmission means in a storage device, a transcription means for automatically transcribing information into multiple document templates based on the saved data, an affixing means for affixing a digital signature to the document transcribed by the transcription means, a generation means for transmitting the generated document to a user device, and an emotion recognition means for analyzing data of the user's face and voice and recognizing their emotion. This makes it possible to efficiently create multiple documents by inputting information once, and to reduce stress by taking into consideration the user's emotions.

[1378] "Personal information" refers to information about a user that can identify the individual, such as name, date of birth, and address.

[1379] "Input means" refers to an interface or device that allows a user to input personal information or other necessary information into the system.

[1380] The "transmission means" refers to a means for transmitting data input by the input means to a server or other device.

[1381] "Processing device" refers to a computer device or server that transmits and receives data.

[1382] "Memory device" refers to a database or storage device for saving data.

[1383] "Storage means" refers to a means for safely storing acquired data in a storage device.

[1384] "Transcribing means" refers to a means for automatically transcribing information into a document template based on stored data.

[1385] A "document template" refers to a pre-set format or template for a specific document type.

[1386] "Means of granting" refers to the technology or means for granting an electronic signature or electronic seal to a document.

[1387] "Electronic signature" refers to a technology for verifying the authenticity and tamper-proofness of digital information.

[1388] The "generation means" refers to a means for generating a document that has been transcribed and digitally signed, and transmitting the document to a user device.

[1389] "User device" refers to a terminal used by a user, such as a personal computer, smartphone, or tablet.

[1390] "Emotion recognition means" refers to a means for recognizing emotions by analyzing the user's facial and voice data.

[1391] This invention is a system for streamlining procedures related to ceremonial occasions and reducing user stress. This system is composed of a combination of "Application Identification" and an emotion engine that performs emotion analysis. Users can access the system using devices such as PCs, smartphones, and tablets.

[1392] System Components

[1393] User terminal

[1394] Users access the app using a computer, smartphone, or tablet. The device is equipped with a camera and microphone, which the emotion engine uses to analyze the user's facial expressions and voice.

[1395] Input Method

[1396] Users input the required information through a web application on their device, using input methods including text entry, drop-down menus, and handwriting.

[1397] Transmission method

[1398] The device sends the entered information to the server using a secure communication method (e.g., HTTPS).

[1399] Preservation means

[1400] The server stores the submitted data in a reliable database (e.g., Amazon RDS, MySQL), and performs transaction management to ensure the data is stored correctly.

[1401] Transcription Method

[1402] The server automatically transcribes information into various document templates (e.g. PDF templates) based on the saved data, ensuring that information entered by the user once is accurately reflected in multiple documents.

[1403] Granting means

[1404] The server then digitally signs the transcribed document (e.g., using OpenSSL), ensuring that the document is tamper-proof and authentic.

[1405] generation means

[1406] The server generates a PDF of the document after transcription and digital signature is completed and sends it to the user's device, where the user can view the generated document.

[1407] Input method for correction

[1408] The user checks the generated document and, if necessary, makes corrections by handwriting, etc. After making corrections, the document is sent back to the server.

[1409] printing means

[1410] Once the user has confirmed and corrected the document, they can print it using an online printing service (e.g., a printing service at a convenience store). The terminal generates a print code via the server and provides it to the user.

[1411] emotion recognition means

[1412] The emotion engine uses the camera and microphone to collect facial and voice data, and then analyzes emotions using Microsoft Azure Cognitive Services and Google Cloud Natural Language API. If the user is feeling stressed, the interface is simplified and a support message is displayed.

[1413] Examples of prompt statements

[1414] "We would like to develop a system that streamlines wedding and funeral procedures and reduces user stress. Please write a program that can input information for application procedures, save data, automatically transcribe, add electronic signatures, generate documents, and recognize emotions."

[1415] Specific examples

[1416] Example 1: A user requests a death certificate for their father.

[1417] The user accesses "Application Identification" and enters the name, date of birth, and personal information of the deceased. This information is then sent to the server by clicking the send button. The server saves the received data and automatically transcribes it into the required document template. A document with a digital signature is generated and sent to the user's device. The user then checks the document, makes any necessary corrections, and finally prints it using an online printing service. The emotion engine analyzes the user's face and voice, and if they appear stressed, it displays a supportive message or a simplified interface.

[1418] This system allows users to efficiently fill out multiple documents by entering information once, and its emotion engine is expected to reduce stress, greatly simplifying the application process, especially for the elderly and those with disabilities.

[1419] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1420] Step 1: Enter your information

[1421] Users access the "Appendix Icchan" web application using a PC, smartphone, or tablet. They enter the required data, such as the name of the deceased, their date of birth, and their own personal information. The entered data is retrieved from text boxes and drop-down menus on the web form. The input includes basic information about the deceased, their date of birth, and the submitter's personal information. Based on this input, the information is sent to the backend.

[1422] Step 2: Submitting input data

[1423] The device sends the information entered by the user to the server using a secure communication protocol (HTTPS). The data sent includes personal information entered by the user and information about the deceased. The data received as input is encoded and sent to the server. The server receives it and returns a confirmation message to the device.

[1424] Step 3: Save your data

[1425] The server stores the received data in a reliable database (e.g., Amazon RDS, MySQL). Before storing it, it checks the integrity of the data and verifies that there is no invalid data. The input is the personal information sent, and the output is a confirmation that the data was correctly stored in the database.

[1426] Step 4: Transfer data to document template

[1427] The server automatically transcribes information into document templates (PDF templates) based on the saved data. Templates include death certificates, cremation permits, life insurance claims, etc. The saved data is transcribed into the corresponding fields of the template, and each document template is completed as output.

[1428] Step 5: Applying an electronic signature

[1429] The server then digitally signs the document (digital signature technology: OpenSSL) that has been transcribed into the template. Digital signing is the process of creating a digital signature to prevent unauthorized alteration of the document and then attaching it to the document. The input is the completed template, and the output is a signed document.

[1430] Step 6: Generate and submit documents

[1431] The server generates a PDF of the document with the digital signature completed and sends it to the user's device. The document sent is a generated PDF file, which the user receives and reviews on their device. The input is the signed document, and the output is a PDF link that the user can access.

[1432] Step 7: Check and correct documents

[1433] The user checks the document sent on the terminal and makes corrections as necessary using functions such as handwriting input. After making corrections, the corrected data is sent back to the server. The input is the information corrected by the user, and the output is the updated document data.

[1434] Step 8: Resubmit the corrected data

[1435] The terminal sends the corrected document data back to the server. The server then stores the received corrected data in a storage device. In this process, the corrected data is sent and stored. The input is the corrected data, and the output is the correction information stored in the database.

[1436] Step 9: Print your documents

[1437] After the user has confirmed and corrected the document, they can print it using an online printing service (e.g., a convenience store's online printing service). The terminal generates a print code via the server and provides it to the user. The input is the final confirmed document, and the output is the print code for printing.

[1438] Step 10: Recognize and respond to user emotions

[1439] The emotion engine uses a camera and microphone to collect data on the user's face and voice, and performs emotion analysis using Microsoft Azure Cognitive Services and Google Cloud Natural Language API. The input is the user's face and voice data, and the output is an analysis of the user's emotional state. If the user is feeling stressed, the system simplifies the interface and displays a supportive message.

[1440] (Application example 2)

[1441] 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."

[1442] Conventional customer service systems struggled to take into account customer emotions and were unable to provide the best resources to improve customer satisfaction. Furthermore, even when customers were feeling stressed, they could only provide a uniform response, limiting improvements to the customer experience. These challenges made it difficult to provide services that satisfied customers.

[1443] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an assignment means for assigning an electronic seal to the document transcribed by the transcription means, a generation means for sending the generated document to a user terminal, and an emotion analysis means for recognizing the user's emotion and suggesting an appropriate response method. This makes it possible to recognize the customer's emotion in real time and suggest an appropriate response method accordingly, which is expected to improve customer satisfaction.

[1444] "Personal information" refers to information that identifies an individual, such as the user's name, contact information, and address.

[1445] "Input means" refers to an interface for a user to input information, and includes devices such as a keyboard, a touch screen, and voice input.

[1446] "Transmission means" refers to the communication protocol and device that transmits the input data to the server.

[1447] "Storage means" refers to the technology and equipment used to store the transmitted data in a database or storage device.

[1448] "Transcriber" means an algorithm and system for automatically transcribing stored data into multiple document templates.

[1449] "Applying instrument" refers to the technology and devices used to apply electronic signatures or marks to transcribed documents.

[1450] "Generation means" refers to the technology and system for transmitting the generated document to the user terminal.

[1451] The "emotion analysis means" is an engine and software for analyzing the user's facial expressions and voice and recognizing their emotions.

[1452] MODE FOR CARRYING OUT THE INVENTION

[1453] This invention aims to realize a customer service system that takes into account the emotions of customers, and is a system that efficiently performs everything from inputting personal information to generating documents and analyzing emotions. Below is a specific method for implementing this system.

[1454] 1. User Device

[1455] Users use the system through smart glasses, which are equipped with a built-in camera and microphone, and can collect the user's facial expressions and voice in real time.

[1456] 2. Input Method

[1457] The interface for users to input information can be voice, touch, or other biometric technologies, such as the touchpad or voice recognition capabilities of smart glasses.

[1458] 3. Transmission Method

[1459] The data entered by the user is sent to the server via the Internet using the security protocol SSL / TLS, which protects the data with end-to-end encryption.

[1460] 4. Preservation means

[1461] The transmitted data is stored in a database on the server, typically a relational database such as MySQL or PostgreSQL.

[1462] 5. Transcription Method

[1463] Based on the stored data, a special algorithm automatically transcribes the information into a document template, which can be a PDF or Word file.

[1464] 6. Means of Granting

[1465] Digital signature technology (e.g., Public Key Infrastructure: PKI) is used to electronically sign transcribed documents, thereby ensuring their authenticity.

[1466] 7. Generation means

[1467] The generated document is converted into PDF format and sent back to the user's device, where the user can view it on the display of the smart glasses.

[1468] 8. Emotion analysis method

[1469] The data collected by the built-in camera and microphone is analyzed in real time by an emotion analysis engine (e.g., Google Cloud Vision API, IBM Watson Tone Analyzer). The system recognizes emotions from the user's facial expressions and voice, and based on the results, displays appropriate responses on the smart glasses.

[1470] Specific examples

[1471] For example, if a customer is having trouble choosing a product, the smart glasses will display a message saying, "You are looking for help. Please call us for assistance." Based on this message, the store clerk can immediately provide appropriate assistance.

[1472] Prompt Sentence Examples

[1473] Examples of prompts to use with generative AI models include:

[1474] "Write a program that uses an emotion recognition engine to show how to respond to a customer's emotions in real time."

[1475] "Assuming that the application installed on the smart glasses has the ability to recognize emotions from the customer's facial expressions and voice and display appropriate advice to the store clerk, please provide an example implementation in Python."

[1476] In this way, the system can recognize customer emotions in real time and suggest appropriate responses to store staff, thereby improving customer satisfaction.

[1477] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1478] Step 1:

[1479] The user puts on the smart glasses and the built-in camera and microphone are activated. The camera captures the customer's facial expressions in real time, and the microphone records the conversation with the customer. This inputs the customer's facial image data and voice data.

[1480] Step 2:

[1481] The facial image data and audio data collected by the device are preprocessed. The facial image data is converted to grayscale using the OpenCV library to detect the face region. The audio data is converted to text using the Google Cloud Speech-to-Text API. The preprocessed data is output.

[1482] Step 3:

[1483] The device sends the preprocessed facial image data and voice text data to the server via the Internet. SSL / TLS is used as the transmission protocol. This inputs the preprocessed data into the server.

[1484] Step 4:

[1485] The server inputs the received facial image data and voice text data into an emotion analysis engine (e.g., Google Cloud Vision API, IBM Watson Tone Analyzer). These engines analyze the data and recognize the customer's emotions. The recognized emotion data is output.

[1486] Step 5:

[1487] The server runs an algorithm based on the recognized emotion data to determine the appropriate response. For example, specific advice such as "smile" or "keep your distance" is generated. As a result, data on the appropriate response is output.

[1488] Step 6:

[1489] The server transmits the generated response method data to the terminal, whereby the response method data is input into the terminal.

[1490] Step 7:

[1491] The device receives data on how to respond and displays it on the smart glasses' display. Specifically, it uses the smart glasses' API to display a message such as "This person is requesting help. Please call out to provide support." Instructions on how to respond to the customer are output.

[1492] Step 8:

[1493] The user (store clerk) follows the instructions displayed on the screen to respond appropriately to the customer's emotions, for example, by speaking to them to offer support or by keeping a little distance. This improves customer satisfaction.

[1494] The system recognizes customer emotions in real time and suggests appropriate responses to store staff, thereby improving the customer experience.

[1495] 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.

[1496] 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.

[1497] 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.

[1498] [Fourth embodiment]

[1499] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1500] 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.

[1501] 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).

[1502] 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.

[1503] 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.

[1504] 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).

[1505] 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.

[1506] 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.

[1507] 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.

[1508] 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.

[1509] 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.

[1510] 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.

[1511] 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."

[1512] This invention provides a system called "Application Immigration Kun" that automatically transfers information to multiple related documents with a single input, and generates documents by adding an electronic seal as needed, in order to streamline application procedures related to ceremonial occasions. Specific embodiments of this system are described below.

[1513] System configuration

[1514] 1. User Device

[1515] Users access "Application Bulk" using devices such as computers, smartphones, or tablets.

[1516] 2. Input Method

[1517] The user enters the necessary information (e.g., "Name of the deceased," "Date of birth," "Personal information of the applicant," etc.) through a web application on the terminal. This input method can be text input, drop-down menus, or handwriting input.

[1518] 3. Transmission Method

[1519] The terminal transmits the information entered by the user to the server using a secure protocol to ensure that the entered data is not lost or tampered with.

[1520] 4. Preservation means

[1521] The server stores the information sent from the terminal in a database. This storage method is equipped with appropriate data protection functions to provide high reliability and security.

[1522] 5. Transcription Method

[1523] The server automatically transcribes information into multiple document templates based on the stored data, ensuring that each document accurately contains the required fields.

[1524] 6. Means of Granting

[1525] The server checks whether a digital seal is required for the transcribed document, and if so, automatically assigns one. The digital seal uses digital signature technology to guarantee the authenticity of the document.

[1526] 7. Generation means

[1527] The server generates the document after transcription and electronic seal addition in a format such as PDF and sends it to the user's device. The user can then view the generated document on their own device.

[1528] 8. How to input corrections

[1529] The user can check the generated document and make corrections as necessary. These corrections can be entered by hand using a tablet or other device, and the document is then sent back to the server.

[1530] 9. Printing means

[1531] Once the user has confirmed and corrected the document, they can print it using the online printing service. A print code is generated from the terminal via the server and provided to the user to print the document on a printer at a nearby convenience store.

[1532] Examples of use

[1533] Example 1: Application for father's death registration

[1534] 1. Enter your information

[1535] The user accesses "Application Immune-kun" and enters the name of their deceased father, their date of birth, and their own personal information.

[1536] 2. Data transmission

[1537] The terminal transmits the input data to the server.

[1538] 3. Data storage and transcription

[1539] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[1540] 4. Adding an electronic seal

[1541] The server affixes an electronic seal to the necessary documents.

[1542] 5. Generate and send documents

[1543] The generated document is sent in PDF format to the user's terminal, where the user can check and modify it.

[1544] 6. Printing

[1545] The document confirmed by the user is printed using a net print service.

[1546] In this way, by utilizing this system, users can efficiently create multiple application documents by entering information once, significantly reducing the amount of time and effort required. This system is extremely useful, especially for the elderly and those with physical disabilities.

[1547] The processing flow will be explained below.

[1548] Step 1: Enter your information

[1549] The user accesses the "Apply All at Once" web application.

[1550] The user fills in the form with the required personal information (e.g., the name of the deceased, date of birth, and their own personal information).

[1551] The terminal temporarily stores the contents of the input form.

[1552] Step 2: Sending data

[1553] The user clicks the "Submit" button.

[1554] The terminal transmits the input information to the server.

[1555] The transmission protocol uses a secure communication method.

[1556] Step 3: Save your data

[1557] The server stores the received information in a database.

[1558] The server confirms that the save was successful and returns a save success response to the terminal.

[1559] Step 4: Loading the template

[1560] The server loads the necessary document templates from a database based on the specified region and application details.

[1561] Examples include templates for death certificates, cremation permits, and life insurance claim forms.

[1562] Step 5: Transcribing the data

[1563] The server reads the saved user data and automatically transcribes the data into the loaded template.

[1564] For example: Each document is filled out accurately with the deceased person's name, date of birth, and personal information.

[1565] Step 6: Adding an electronic seal

[1566] The server confirms the need for an electronic signature.

[1567] If necessary, the server applies an electronic seal to the document using digital signature technology.

[1568] Step 7: Generate the document

[1569] The server generates the transcribed and electronically stamped document in an appropriate format, such as PDF.

[1570] The server prepares the generated document for transmission to the user terminal.

[1571] Step 8: View and review documents

[1572] The terminal displays the generated document received from the server.

[1573] The user checks the displayed document and enters corrections as necessary.

[1574] Step 9: Submit your corrections

[1575] If the user inputs corrections and resubmits, the terminal transmits the correction data to the server.

[1576] The server regenerates the document based on the corrected data and sends it to the terminal again.

[1577] Step 10: Choose to print or submit electronically

[1578] After completing the document verification, the user can choose to either print or submit electronically.

[1579] The terminal initiates appropriate processing depending on the user's selection.

[1580] Step 11: Use an online printing service

[1581] If printing is selected, the terminal transmits data for using the net print service to the server.

[1582] The server prepares the print data, generates a print code and returns it to the terminal.

[1583] The user uses the print code to print the document on a printer at a convenience store or the like.

[1584] Step 12: Electronic submission

[1585] If electronic submission is selected, the terminal designates a destination, and the server electronically submits the document with the digital signature to the designated destination.

[1586] Through the above steps, the "Application Identification" system enables users to efficiently create multiple documents with a single input, speeding up the application process.

[1587] Example 1

[1588] 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."

[1589] Conventional application procedures for ceremonial occasions require the creation of multiple separate documents and the entry of information into each, resulting in time-consuming and laborious processes. The same information must be entered multiple times, making it prone to input errors and omissions. Furthermore, each document must be individually digitally signed and printed, placing a particularly heavy burden on elderly people and those with physical disabilities. A system that can solve these problems and significantly streamline application procedures is needed.

[1590] 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.

[1591] In this invention, the server includes an input means for a user to input information using a terminal, a transmission means for transmitting the data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an affixing means for affixing an electronic signature to the document transcribed by the transcription means, and a generation means for transmitting the generated document to the user terminal. This enables a user to efficiently create multiple documents by inputting information once, and to affix an electronic signature and print them all at once.

[1592] "Input means" refers to means by which a user inputs information using a terminal.

[1593] The "transmission means" is a means for transmitting data input by the input means to the server.

[1594] The "storage means" is a means for storing the data transmitted by the transmission means in a database.

[1595] The "transcription means" is a means for automatically transcribing information into a plurality of document templates based on the stored data.

[1596] The "signing means" is a means for adding a digital signature to the document transcribed by the transcribing means.

[1597] The "creation means" is a means for transmitting the created document to the user terminal.

[1598] The "correction means" is a means by which a user inputs corrections to a generated document.

[1599] The "printing means" is a means for making the generated document printable using a network printing service.

[1600] An "electronic signature" is an electronic seal that uses digital signature technology to guarantee the authenticity of a document.

[1601] This invention is a system for automatically transcribing information to multiple related documents with a single input, and generating documents by adding electronic signatures as necessary, in order to streamline application procedures related to ceremonial occasions. This system includes input means, transmission means, storage means, transcription means, addition means, generation means, correction means, and printing means.

[1602] System configuration

[1603] 1. User Device

[1604] Users access the system using a device such as a PC, smartphone, or tablet, and then log in by accessing the web application using the browser on the device.

[1605] 2. Input Method

[1606] The user enters the required information using an input form on the web application, which provides various input methods such as text boxes, drop-down menus, and check boxes to enter the name and date of birth of the deceased person, as well as the applicant's personal information.

[1607] 3. Transmission Method

[1608] The user terminal sends the entered information to the server in encrypted form using the SSL / TLS protocol. Specifically, an AJAX request is sent and the request data is passed to the server in JSON format.

[1609] 4. Preservation means

[1610] The server stores the submitted information in a database using a relational database such as MySQL or PostgreSQL, with robust security measures in place to protect the data. For example, it executes the following SQL statement: "INSERT INTO user_data (name, birthdate, applicant_info) VALUES ('Name of the deceased', 'Birthdate', 'Personal information of the applicant')."

[1611] 5. Transcription Method

[1612] The server automatically transcribes the information stored in the database into multiple document templates, which are filled with information using a template engine such as Jinja2. For example, a death notification template includes the name and date of birth of the deceased.

[1613] 6. Means of Granting

[1614] The server checks whether a digital signature is required for the transcribed document and, if so, grants one. The digital signature is generated using public key infrastructure (PKI) technology, and uses Python's cryptography library to calculate a hash value and generate the digital signature.

[1615] 7. Generation means

[1616] The server generates the document after transcription and digital signature addition in a format such as PDF and sends it to the user's terminal. For this process, the Python ReportLab library is used to generate the PDF file and send it to the user's terminal as an HTTP response.

[1617] 8. Remedies

[1618] The user can check the generated document and make any necessary corrections. Corrections can be made using the correction form in the web application or by handwriting on a tablet. The corrected data is then sent back to the server and reflected in the document.

[1619] 9. Printing means

[1620] Once the user has confirmed and corrected the document, it can be printed using the network printing service. The server uses the network printing service API to generate a print code and provides it to the user. The user then enters the print code into the convenience store printer to print the document.

[1621] Specific examples

[1622] As a concrete example, we will explain the application for notification of the death of a father.

[1623] 1. Enter your information

[1624] The user accesses the system and enters the father's name, date of birth, and their own personal information.

[1625] For example: "Father's name: Deceased's name" "Date of birth: January 1, 1950" "Applicant's name: Applicant's name"

[1626] 2. Data transmission

[1627] The terminal transmits the input data to the server.

[1628] Example: Prompt text: "Send the entered information (father's name, date of birth, and applicant's personal information) to the server."

[1629] 3. Data storage and transcription

[1630] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[1631] Example: "Save to database" → "Transfer father's name and date of birth to death certificate template"

[1632] 4. Adding an electronic signature

[1633] The server affixes an electronic signature to the required documents.

[1634] Example: "DEATH CERTIFICATION ELECTRONIC SIGNATURE"

[1635] 5. Generate and send documents

[1636] The generated document is sent in PDF format to the user's terminal, where the user can check and modify it.

[1637] Example: "Send in PDF format" → "User checks and manually enters corrections"

[1638] 6. Printing

[1639] The document confirmed by the user is printed using a network printing service.

[1640] Example: "Generate print code" → "Print at a nearby convenience store"

[1641] In this way, users can use the system to efficiently create multiple documents at once, significantly reducing the time and effort required, making it a very useful system, especially for the elderly and people with disabilities.

[1642] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1643] Step 1:

[1644] The user enters information into the terminal

[1645] Users access the system's web application using a device such as a PC, smartphone, or tablet. An input form is displayed, and the user enters the required information, such as the name of the deceased, date of birth, and personal information of the applicant. The entered data is collected through text boxes, drop-down menus, check boxes, etc.

[1646] input:

[1647] The user enters the name of the deceased, date of birth, and personal information of the applicant into the input form.

[1648] output:

[1649] Information entered into a user's terminal.

[1650] Specific behavior:

[1651] The user operates input buttons and text boxes on the device's browser.

[1652] Step 2:

[1653] Sending data from the device to the server

[1654] The information entered by the user is sent to the server by clicking the "Submit" button, where the data is encrypted using the SSL / TLS protocol. A JavaScript event handler is triggered, and an AJAX request is sent. The request is in JSON format.

[1655] input:

[1656] Data entered by the user into the terminal.

[1657] output:

[1658] The JSON formatted data sent to the server.

[1659] Specific behavior:

[1660] The user clicks the "Submit" button and the event handler sends an AJAX request to the server.

[1661] Step 3:

[1662] Data storage on the server

[1663] The server stores the received data in a database, typically a relational database such as MySQL or PostgreSQL. It uses the Python Flask framework to receive the request data and insert it into the database using the appropriate SQL statements.

[1664] input:

[1665] The JSON formatted data sent to the server.

[1666] output:

[1667] User information stored in a database.

[1668] Specific behavior:

[1669] The server receives the data and executes the SQL statement "INSERT INTO user_data (name, birthdate, applicant_info) VALUES ('Name of the Deceased', 'Birthdate', 'Applicant's Personal Information')".

[1670] Step 4:

[1671] Automatic data transcription

[1672] The server automatically transcribes information into multiple document templates based on the information stored in the database, and uses Jinja2 as the template engine to insert the corresponding information into the document templates.

[1673] input:

[1674] User information stored in a database.

[1675] output:

[1676] Transcription of information in a format appropriate for each document template.

[1677] Specific behavior:

[1678] The server uses the Jinja2 template engine to fill in the "Death Notification Template" with the name and date of birth of the deceased.

[1679] Step 5:

[1680] Adding an electronic signature

[1681] The server checks whether a digital signature is required for the transcribed document, and if so, grants it. The digital signature is generated using public key infrastructure (PKI) technology, and uses Python's cryptography library to calculate a hash value and generate the digital signature.

[1682] input:

[1683] Posted document template.

[1684] output:

[1685] A document with an electronic signature.

[1686] Specific behavior:

[1687] The server calculates the hash value of the document, generates a digital signature, and embeds it in the PDF file.

[1688] Step 6:

[1689] Document generation and submission

[1690] Once the document has been transcribed and electronically signed, it is generated in a format such as PDF and sent to the user's device. The PDF file is generated using the Python ReportLab library and sent to the user's device as an HTTP response.

[1691] input:

[1692] A document template with an electronic signature.

[1693] output:

[1694] The document sent to the user in PDF format.

[1695] Specific behavior:

[1696] The server generates a PDF file using the ReportLab library and sends it to the user's device as an HTTP response.

[1697] Step 7:

[1698] User correction input

[1699] The user can check the generated document and make any necessary corrections. Corrections can be entered using the correction form in the web application or by handwriting on a tablet. The corrected data is sent back to the server and reflected in the document.

[1700] input:

[1701] User-modified data.

[1702] output:

[1703] Corrected document data.

[1704] Specific behavior:

[1705] The user enters and submits the correction data using a correction form or tablet.

[1706] Step 8:

[1707] Printing documents

[1708] Once the user has confirmed and corrected the document, they can print it using the network printing service. The server uses the network printing service API to generate a print code and provides it to the user. The user then enters the print code into the convenience store printer to print the document.

[1709] input:

[1710] Document data after confirmation and correction.

[1711] output:

[1712] Printing code and printed documents.

[1713] Specific behavior:

[1714] The server calls the network printing service API, generates a print code, and displays it on the user's device. The user then enters the code into a printer at a convenience store to print the document.

[1715] The above is a detailed description of the specific processing steps and associated operations of this system.

[1716] (Application example 1)

[1717] 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."

[1718] Traditionally, application procedures at brick-and-mortar stores have been tedious and often require the manual completion of numerous documents. This is particularly true for ceremonial occasions and various contract procedures, where the same information must be entered multiple times on multiple documents and then signed, which is time-consuming and labor-intensive. This process is extremely difficult for elderly and physically disabled users, and there is a need to improve its efficiency.

[1719] 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.

[1720] In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting the data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an affixing means for affixing an electronic signature to the document transcribed by the transcription means, a generation means for sending the generated document to a user terminal, and an output means for making the document generated by the generation means printable on an in-store printer. This streamlines application procedures in physical stores, enables automatic generation of multiple documents with a single information input, and enables quick electronic signatures and printouts.

[1721] "Personal information" refers to information that identifies an individual, including name, address, telephone number, date of birth, etc.

[1722] "Input means" refers to a device or application that allows a user to input personal information.

[1723] "Transmission means" refers to a mechanism for transmitting input data to a server.

[1724] "Storage means" refers to a system for storing transmitted data in a database.

[1725] "Document template" refers to a fixed format used for automatic transcription.

[1726] "Transfer means" refers to the process of automatically filling in document templates with stored data.

[1727] An "electronic signature" is a digital signature that guarantees the authenticity and security of a document.

[1728] "Applying means" refers to the function of applying an electronic signature to a transcribed document.

[1729] "Generation means" refers to the function that digitally generates transcribed and digitally signed documents.

[1730] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC.

[1731] "Output means" refers to a function for actually printing the generated document.

[1732] The system for implementing this invention provides the function of inputting personal information, automatically transcribing that information into multiple documents, adding an electronic signature, and printing the generated documents on an in-store printer. Specifically, this system is realized with the following configuration.

[1733] System Configuration

[1734] 1. User Device

[1735] Users access the system using a smartphone, tablet, or PC, and enter their personal information using the terminal.

[1736] 2. Input Method

[1737] It provides an interface for users to enter personal information, supporting multiple input formats such as text fields, drop-down menus, and checkboxes.

[1738] 3. Transmission Method

[1739] The entered data is securely transmitted to the server using the HTTPS protocol.

[1740] 4. Preservation means

[1741] The server stores the received data in a database (e.g., PostgreSQL), which ensures data reliability and security.

[1742] 5. Transcription Method

[1743] The server automatically transcribes the information into multiple document templates (PDF format) based on the stored data, using a template engine (e.g. Handlebars.js).

[1744] 6. Means of Granting

[1745] The server digitally signs the transcribed document, a process that uses digital signature technology (e.g., DigiCert API).

[1746] 7. Generation means

[1747] The server generates a PDF of the transcribed and signed document and sends it to the user's device using a PDF generation library such as PDFKit.

[1748] 8. Output Method

[1749] The user checks the generated document and generates a QR code for printing on an in-store printer. The document can then be printed by scanning the QR code with the in-store printer.

[1750] Examples of use

[1751] As an example, consider the membership registration process at a brick-and-mortar store.

[1752] 1. Enter your information

[1753] Example prompt: "Please enter your registration information."

[1754] Users access the application from their smartphone or PC and enter information such as their name, address, and contact details.

[1755] 2. Data transmission and storage

[1756] Data entered from the user's terminal is sent to the server via HTTPS, and the server stores the received data in a PostgreSQL database.

[1757] 3. Transcription of data and electronic signature

[1758] The server uses the stored data to automatically transcribe document templates such as membership cards and contracts, and digitally sign the applied documents using the DigiCert API.

[1759] 4. Creating and Sending Documents

[1760] The generated PDF file is sent to the user's smartphone or PC, where the user can review the document and make any necessary corrections.

[1761] 5. In-store printing

[1762] Once the corrections are complete, the document is generated as a QR code, which the user holds up to the in-store printer to print.

[1763] In this way, procedures at physical stores are greatly simplified and efficiency is achieved.

[1764] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1765] Step 1: Enter your information

[1766] Users access the application from their smartphone or PC and follow the prompt to "Please enter your information for membership registration," entering personal information such as name, address, contact details, etc. The data entered here is in text format and temporarily stored on the user's device.

[1767] Step 2: Sending data

[1768] The user terminal securely transmits the entered personal information to the server via the HTTPS protocol. At this time, the data is converted into JSON format. The input is text data, and the output is the JSON format data sent to the server.

[1769] Step 3: Save your data

[1770] The server parses the received JSON format data and stores it in the database (PostgreSQL). Specifically, the server parses the received data and inserts it into the database columns corresponding to each field. The input is JSON data, and the output is a record stored in the database.

[1771] Step 4: Transcribing the data

[1772] The server automatically transcribes the information into document templates such as membership cards and contracts based on the stored data. This process uses a template engine (Handlebars.js). The input is the record retrieved from the database, and the output is a document with the information reflected in the template.

[1773] Step 5: Applying an electronic signature

[1774] The server then digitally signs the transcribed document. This is done using the DigiCert API. Specifically, the server sends the transcribed document to the API and receives the signed document. The input is the transcribed document data, and the output is the document with the digital signature.

[1775] Step 6: Generate and send the document

[1776] The server generates a PDF document with a digital signature and sends it to the user's device. The PDFKit library is used for generation. The input is the digitally signed document data, and the output is a PDF document.

[1777] Step 7: Review and correct the document

[1778] The user can check the PDF document sent to them on their smartphone or PC and make any necessary corrections. The corrections are sent back to the server and reflected in the database and template. The input is a PDF document, and the output is the corrected PDF document.

[1779] Step 8: Print to your in-store printer

[1780] A QR code is generated for the document after the user has confirmed and corrected it. This QR code is printed by holding it up to an in-store printer. Specifically, the server generates the QR code and sends it to the user's device. The input is the corrected PDF document, and the output is a printable QR code.

[1781] This series of processing steps significantly simplifies and streamlines the procedures at physical stores.

[1782] 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.

[1783] This invention combines an emotion engine that recognizes the user's emotions with the "Appendix Icchan-kun" system, which streamlines procedures related to ceremonial occasions. As a result, it realizes a system that is more user-friendly and contributes to reducing stress.

[1784] System configuration

[1785] 1. User Device

[1786] Users access "Apply All" using devices such as computers, smartphones, or tablets.

[1787] 2. Input Method

[1788] The user enters the necessary information (e.g., "Name of the deceased," "Date of birth," "Personal information") through a web application on the device. This input method includes text input, drop-down menus, and handwriting input.

[1789] 3. Transmission Method

[1790] The terminal transmits the information entered by the user to the server using a secure communication protocol.

[1791] 4. Preservation means

[1792] The server stores the information sent from the terminal in a database. The storage means provides high reliability and security.

[1793] 5. Transcription Method

[1794] The server automatically transfers the information from the stored data into multiple document templates, ensuring that the required fields are accurately filled out on each document.

[1795] 6. Means of Granting

[1796] The server checks whether an electronic seal is required for the transcribed document, and if necessary, affixes an electronic seal. The electronic seal uses digital signature technology.

[1797] 7. Generation means

[1798] The server generates the document after transcription and electronic seal addition in a format such as PDF and sends it to the user's device, where the user can view the generated document.

[1799] 8. How to input corrections

[1800] The user can check the generated document and make corrections as necessary. These corrections can be entered by hand using a tablet or other device, and the document is then sent back to the server.

[1801] 9. Printing means

[1802] Once the user has confirmed and corrected the document, they can print it using the online printing service. A print code is generated from the terminal via the server, allowing the document to be printed on a printer at a nearby convenience store.

[1803] 10. Emotion Engine

[1804] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions, and based on this information, the system provides appropriate support.

[1805] Program processing

[1806] The emotion engine uses the onboard camera and microphone to collect and analyze the user's facial and voice data to recognize emotions. For example, if the user is feeling stressed, the emotion engine will detect this and adapt the interface and support messages accordingly.

[1807] Example 1: A user requests a death certificate for their father.

[1808] 1. Entering and submitting information

[1809] The user accesses "Application Identification", enters the necessary information (the name of the deceased, date of birth, and the user's own personal information) and submits it.

[1810] 2. Data storage and transcription

[1811] The server stores the received data in a database and automatically transcribes it into document templates such as death certificates, cremation permits, and life insurance claim forms.

[1812] 3. Adding electronic seals and generating documents

[1813] An electronic seal is applied to the necessary documents, and the documents are generated and sent to the user terminal.

[1814] 4. Emotional awareness and adaptation

[1815] The emotion engine analyzes the user's face and voice, and if it recognizes that the user is feeling stressed, it simplifies the interface and displays a supportive message.

[1816] 5. Edit and print

[1817] The user checks and corrects the document and prints it using the online printing service.

[1818] This system not only allows users to efficiently fill out multiple documents by entering information once, but also reduces stress through its emotion engine, greatly simplifying the application process, especially for the elderly and those with disabilities.

[1819] The processing flow will be explained below.

[1820] Step 1: Enter your information

[1821] The user accesses the "Apply All at Once" web application.

[1822] The user fills in the form with the required personal information (e.g., the name of the deceased, date of birth, and their own personal information).

[1823] The terminal temporarily stores the contents of the input form.

[1824] Step 2: Recognize emotions

[1825] The device uses a camera and microphone to collect data about the user's face and voice.

[1826] The device sends the collected data to the emotion engine.

[1827] The emotion engine analyzes the user's facial expressions and voice to recognize their current emotional state.

[1828] Step 3: Adapting the interface

[1829] The emotion engine automatically adjusts the interface based on the emotions it recognizes.

[1830] Example: If the device detects that the user is stressed, it will simplify the form and display support messages and guidance.

[1831] Step 4: Sending data

[1832] The user clicks the "Submit" button.

[1833] The terminal transmits the input information to the server.

[1834] The transmission protocol uses a secure communication method.

[1835] Step 5: Save your data

[1836] The server stores the received information in a database.

[1837] The server confirms that the save was successful and returns a save success response to the terminal.

[1838] Step 6: Loading the template

[1839] The server loads the necessary document templates from a database based on the specified region and application details.

[1840] Examples include templates for death certificates, cremation permits, and life insurance claim forms.

[1841] Step 7: Transcribing the data

[1842] The server reads the saved user data and automatically transcribes the data into the loaded template.

[1843] For example: Each document is filled out accurately with the deceased person's name, date of birth, and personal information.

[1844] Step 8: Adding an electronic seal

[1845] The server confirms the need for an electronic signature.

[1846] If necessary, the server applies an electronic seal to the document using digital signature technology.

[1847] Step 9: Generate and submit documents

[1848] The server generates the transcribed and electronically stamped document in an appropriate format, such as PDF.

[1849] The server prepares the generated document for transmission to the user terminal.

[1850] Step 10: View and review documents

[1851] The terminal displays the generated document received from the server.

[1852] The user checks the displayed document and enters corrections as necessary.

[1853] Step 11: Submit your corrections

[1854] If the user inputs corrections and resubmits, the terminal transmits the correction data to the server.

[1855] The server regenerates the document based on the corrected data and sends it to the terminal again.

[1856] Step 12: Choose to print or submit electronically

[1857] After completing the document verification, the user can choose to either print or submit electronically.

[1858] The terminal initiates appropriate processing depending on the user's selection.

[1859] Step 13: Use an online printing service

[1860] If printing is selected, the terminal transmits data for using the net print service to the server.

[1861] The server prepares the print data, generates a print code and returns it to the terminal.

[1862] The user uses the print code to print the document on a printer at a convenience store or the like.

[1863] Step 14: Electronic submission

[1864] If electronic submission is selected, the terminal designates a destination, and the server electronically submits the document with the digital signature to the designated destination.

[1865] Through this specific process, the "Application Bulk" system reduces user stress by adding an emotion engine, enabling users to efficiently create multiple application documents.

[1866] Example 2

[1867] 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."

[1868] Currently, procedures related to ceremonial occasions are time-consuming and place a significant burden on the elderly and physically disabled. Furthermore, procedures placed under circumstances where mental stress is likely to increase create an even greater burden. Conventional systems lack the efficiency of these procedures and provide support that takes into consideration the user's emotions. The purpose of this invention is to solve these problems and provide a system that is easier to use and less stressful for users.

[1869] 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. In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting data input by the input means to the processing device, a storage means for saving the data sent by the transmission means in a storage device, a transcription means for automatically transcribing information into multiple document templates based on the saved data, an affixing means for affixing a digital signature to the document transcribed by the transcription means, a generation means for transmitting the generated document to a user device, and an emotion recognition means for analyzing data of the user's face and voice and recognizing their emotion. This makes it possible to efficiently create multiple documents by inputting information once, and to reduce stress by taking into consideration the user's emotions.

[1870] "Personal information" refers to information about a user that can identify the individual, such as name, date of birth, and address.

[1871] "Input means" refers to an interface or device that allows a user to input personal information or other necessary information into the system.

[1872] The "transmission means" refers to a means for transmitting data input by the input means to a server or other device.

[1873] "Processing device" refers to a computer device or server that transmits and receives data.

[1874] "Memory device" refers to a database or storage device for saving data.

[1875] "Storage means" refers to a means for safely storing acquired data in a storage device.

[1876] "Transcribing means" refers to a means for automatically transcribing information into a document template based on stored data.

[1877] A "document template" refers to a pre-set format or template for a specific document type.

[1878] "Means of granting" refers to the technology or means for granting an electronic signature or electronic seal to a document.

[1879] "Electronic signature" refers to a technology for verifying the authenticity and tamper-proofness of digital information.

[1880] The "generation means" refers to a means for generating a document that has been transcribed and digitally signed, and transmitting the document to a user device.

[1881] "User device" refers to a terminal used by a user, such as a personal computer, smartphone, or tablet.

[1882] "Emotion recognition means" refers to a means for recognizing emotions by analyzing the user's facial and voice data.

[1883] This invention is a system for streamlining procedures related to ceremonial occasions and reducing user stress. This system is composed of a combination of "Application Identification" and an emotion engine that performs emotion analysis. Users can access the system using devices such as PCs, smartphones, and tablets.

[1884] System Components

[1885] User terminal

[1886] Users access the app using a computer, smartphone, or tablet. The device is equipped with a camera and microphone, which the emotion engine uses to analyze the user's facial expressions and voice.

[1887] Input Method

[1888] Users input the required information through a web application on their device, using input methods including text entry, drop-down menus, and handwriting.

[1889] Transmission method

[1890] The device sends the entered information to the server using a secure communication method (e.g., HTTPS).

[1891] Preservation means

[1892] The server stores the submitted data in a reliable database (e.g., Amazon RDS, MySQL), and performs transaction management to ensure the data is stored correctly.

[1893] Transcription Method

[1894] The server automatically transcribes information into various document templates (e.g. PDF templates) based on the saved data, ensuring that information entered by the user once is accurately reflected in multiple documents.

[1895] Granting means

[1896] The server then digitally signs the transcribed document (e.g., using OpenSSL), ensuring that the document is tamper-proof and authentic.

[1897] generation means

[1898] The server generates a PDF of the document after transcription and digital signature is completed and sends it to the user's device, where the user can view the generated document.

[1899] Input method for correction

[1900] The user checks the generated document and, if necessary, makes corrections by handwriting, etc. After making corrections, the document is sent back to the server.

[1901] printing means

[1902] Once the user has confirmed and corrected the document, they can print it using an online printing service (e.g., a printing service at a convenience store). The terminal generates a print code via the server and provides it to the user.

[1903] emotion recognition means

[1904] The emotion engine uses the camera and microphone to collect facial and voice data, and then analyzes emotions using Microsoft Azure Cognitive Services and Google Cloud Natural Language API. If the user is feeling stressed, the interface is simplified and a support message is displayed.

[1905] Examples of prompt statements

[1906] "We would like to develop a system that streamlines wedding and funeral procedures and reduces user stress. Please write a program that can input information for application procedures, save data, automatically transcribe, add electronic signatures, generate documents, and recognize emotions."

[1907] Specific examples

[1908] Example 1: A user requests a death certificate for their father.

[1909] The user accesses "Application Identification" and enters the name, date of birth, and personal information of the deceased. This information is then sent to the server by clicking the send button. The server saves the received data and automatically transcribes it into the required document template. A document with a digital signature is generated and sent to the user's device. The user then checks the document, makes any necessary corrections, and finally prints it using an online printing service. The emotion engine analyzes the user's face and voice, and if they appear stressed, it displays a supportive message or a simplified interface.

[1910] This system allows users to efficiently fill out multiple documents by entering information once, and its emotion engine is expected to reduce stress, greatly simplifying the application process, especially for the elderly and those with disabilities.

[1911] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1912] Step 1: Enter your information

[1913] Users access the "Appendix Icchan" web application using a PC, smartphone, or tablet. They enter the required data, such as the name of the deceased, their date of birth, and their own personal information. The entered data is retrieved from text boxes and drop-down menus on the web form. The input includes basic information about the deceased, their date of birth, and the submitter's personal information. Based on this input, the information is sent to the backend.

[1914] Step 2: Submitting input data

[1915] The device sends the information entered by the user to the server using a secure communication protocol (HTTPS). The data sent includes personal information entered by the user and information about the deceased. The data received as input is encoded and sent to the server. The server receives it and returns a confirmation message to the device.

[1916] Step 3: Save your data

[1917] The server stores the received data in a reliable database (e.g., Amazon RDS, MySQL). Before storing it, it checks the integrity of the data and verifies that there is no invalid data. The input is the personal information sent, and the output is a confirmation that the data was correctly stored in the database.

[1918] Step 4: Transfer data to document template

[1919] The server automatically transcribes information into document templates (PDF templates) based on the saved data. Templates include death certificates, cremation permits, life insurance claims, etc. The saved data is transcribed into the corresponding fields of the template, and each document template is completed as output.

[1920] Step 5: Applying an electronic signature

[1921] The server then digitally signs the document (digital signature technology: OpenSSL) that has been transcribed into the template. Digital signing is the process of creating a digital signature to prevent unauthorized alteration of the document and then attaching it to the document. The input is the completed template, and the output is a signed document.

[1922] Step 6: Generate and submit documents

[1923] The server generates a PDF of the document with the digital signature completed and sends it to the user's device. The document sent is a generated PDF file, which the user receives and reviews on their device. The input is the signed document, and the output is a PDF link that the user can access.

[1924] Step 7: Check and correct documents

[1925] The user checks the document sent on the terminal and makes corrections as necessary using functions such as handwriting input. After making corrections, the corrected data is sent back to the server. The input is the information corrected by the user, and the output is the updated document data.

[1926] Step 8: Resubmit the corrected data

[1927] The terminal sends the corrected document data back to the server. The server then stores the received corrected data in a storage device. In this process, the corrected data is sent and stored. The input is the corrected data, and the output is the correction information stored in the database.

[1928] Step 9: Print your documents

[1929] After the user has confirmed and corrected the document, they can print it using an online printing service (e.g., a convenience store's online printing service). The terminal generates a print code via the server and provides it to the user. The input is the final confirmed document, and the output is the print code for printing.

[1930] Step 10: Recognize and respond to user emotions

[1931] The emotion engine uses a camera and microphone to collect data on the user's face and voice, and performs emotion analysis using Microsoft Azure Cognitive Services and Google Cloud Natural Language API. The input is the user's face and voice data, and the output is an analysis of the user's emotional state. If the user is feeling stressed, the system simplifies the interface and displays a supportive message.

[1932] (Application example 2)

[1933] 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."

[1934] Conventional customer service systems struggled to take into account customer emotions and were unable to provide the best resources to improve customer satisfaction. Furthermore, even when customers were feeling stressed, they could only provide a uniform response, limiting improvements to the customer experience. These challenges made it difficult to provide services that satisfied customers.

[1935] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for inputting personal information, a transmission means for transmitting data input by the input means to the server, a storage means for saving the data sent by the transmission means in a database, a transcription means for automatically transcribing information to multiple document templates based on the saved data, an assignment means for assigning an electronic seal to the document transcribed by the transcription means, a generation means for sending the generated document to a user terminal, and an emotion analysis means for recognizing the user's emotion and suggesting an appropriate response method. This makes it possible to recognize the customer's emotion in real time and suggest an appropriate response method accordingly, which is expected to improve customer satisfaction.

[1936] "Personal information" refers to information that identifies an individual, such as the user's name, contact information, and address.

[1937] "Input means" refers to an interface for a user to input information, and includes devices such as a keyboard, a touch screen, and voice input.

[1938] "Transmission means" refers to the communication protocol and device that transmits the input data to the server.

[1939] "Storage means" refers to the technology and equipment used to store the transmitted data in a database or storage device.

[1940] "Transcriber" means an algorithm and system for automatically transcribing stored data into multiple document templates.

[1941] "Applying instrument" refers to the technology and devices used to apply electronic signatures or marks to transcribed documents.

[1942] "Generation means" refers to the technology and system for transmitting the generated document to the user terminal.

[1943] The "emotion analysis means" is an engine and software for analyzing the user's facial expressions and voice and recognizing their emotions.

[1944] MODE FOR CARRYING OUT THE INVENTION

[1945] This invention aims to realize a customer service system that takes into account the emotions of customers, and is a system that efficiently performs everything from inputting personal information to generating documents and analyzing emotions. Below is a specific method for implementing this system.

[1946] 1. User Device

[1947] Users use the system through smart glasses, which are equipped with a built-in camera and microphone, and can collect the user's facial expressions and voice in real time.

[1948] 2. Input Method

[1949] The interface for users to input information can be voice, touch, or other biometric technologies, such as the touchpad or voice recognition capabilities of smart glasses.

[1950] 3. Transmission Method

[1951] The data entered by the user is sent to the server via the Internet using the security protocol SSL / TLS, which protects the data with end-to-end encryption.

[1952] 4. Preservation means

[1953] The transmitted data is stored in a database on the server, typically a relational database such as MySQL or PostgreSQL.

[1954] 5. Transcription Method

[1955] Based on the stored data, a special algorithm automatically transcribes the information into a document template, which can be a PDF or Word file.

[1956] 6. Means of Granting

[1957] Digital signature technology (e.g., Public Key Infrastructure: PKI) is used to electronically sign transcribed documents, thereby ensuring their authenticity.

[1958] 7. Generation means

[1959] The generated document is converted into PDF format and sent back to the user's device, where the user can view it on the display of the smart glasses.

[1960] 8. Emotion analysis method

[1961] The data collected by the built-in camera and microphone is analyzed in real time by an emotion analysis engine (e.g., Google Cloud Vision API, IBM Watson Tone Analyzer). The system recognizes emotions from the user's facial expressions and voice, and based on the results, displays appropriate responses on the smart glasses.

[1962] Specific examples

[1963] For example, if a customer is having trouble choosing a product, the smart glasses will display a message saying, "You are looking for help. Please call us for assistance." Based on this message, the store clerk can immediately provide appropriate assistance.

[1964] Prompt Sentence Examples

[1965] Examples of prompts to use with generative AI models include:

[1966] "Write a program that uses an emotion recognition engine to show how to respond to a customer's emotions in real time."

[1967] "Assuming that the application installed on the smart glasses has the ability to recognize emotions from the customer's facial expressions and voice and display appropriate advice to the store clerk, please provide an example implementation in Python."

[1968] In this way, the system can recognize customer emotions in real time and suggest appropriate responses to store staff, thereby improving customer satisfaction.

[1969] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1970] Step 1:

[1971] The user puts on the smart glasses and the built-in camera and microphone are activated. The camera captures the customer's facial expressions in real time, and the microphone records the conversation with the customer. This inputs the customer's facial image data and voice data.

[1972] Step 2:

[1973] The facial image data and audio data collected by the device are preprocessed. The facial image data is converted to grayscale using the OpenCV library to detect the face region. The audio data is converted to text using the Google Cloud Speech-to-Text API. The preprocessed data is output.

[1974] Step 3:

[1975] The device sends the preprocessed facial image data and voice text data to the server via the Internet. SSL / TLS is used as the transmission protocol. This inputs the preprocessed data into the server.

[1976] Step 4:

[1977] The server inputs the received facial image data and voice text data into an emotion analysis engine (e.g., Google Cloud Vision API, IBM Watson Tone Analyzer). These engines analyze the data and recognize the customer's emotions. The recognized emotion data is output.

[1978] Step 5:

[1979] The server runs an algorithm based on the recognized emotion data to determine the appropriate response. For example, specific advice such as "smile" or "keep your distance" is generated. As a result, data on the appropriate response is output.

[1980] Step 6:

[1981] The server transmits the generated response method data to the terminal, whereby the response method data is input into the terminal.

[1982] Step 7:

[1983] The device receives data on how to respond and displays it on the smart glasses' display. Specifically, it uses the smart glasses' API to display a message such as "This person is requesting help. Please call out to provide support." Instructions on how to respond to the customer are output.

[1984] Step 8:

[1985] The user (store clerk) follows the instructions displayed on the screen to respond appropriately to the customer's emotions, for example, by speaking to them to offer support or by keeping a little distance. This improves customer satisfaction.

[1986] The system recognizes customer emotions in real time and suggests appropriate responses to store staff, thereby improving the customer experience.

[1987] 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.

[1988] 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.

[1989] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1990] 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.

[1991] 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.

[1992] 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.

[1993] 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).

[1994] 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.

[1995] 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."

[1996] 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.

[1997] 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).

[1998] 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.

[1999] 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.

[2000] 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.

[2001] 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.

[2002] 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.

[2003] 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.

[2004] 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.

[2005] 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.

[2006] 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.

[2007] 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.

[2008] The following is further disclosed regarding the above embodiment.

[2009] (Claim 1)

[2010] an input means for inputting personal information;

[2011] a transmitting means for transmitting the data input by the input means to a server;

[2012] a storage means for storing the data transmitted by the transmission means in a database;

[2013] A transcription means for automatically transcribing information into multiple document templates based on the saved data;

[2014] an attaching means for attaching an electronic seal to the document transcribed by the transcribing means;

[2015] A generating means for transmitting the generated document to a user terminal;

[2016] A system including:

[2017] (Claim 2)

[2018] 10. The system of claim 1, further comprising means for a user to input modifications to the generated document.

[2019] (Claim 3)

[2020] 2. The system according to claim 1, further comprising a printing means for enabling the generated document to be printed using a net print service.

[2021] "Example 1"

[2022] (Claim 1)

[2023] an input means for a user to input information using a terminal;

[2024] a transmitting means for transmitting the data input by the input means to a server;

[2025] a storage means for storing the data transmitted by the transmission means in a database;

[2026] a transcription means for automatically transcribing information into a plurality of document templates based on the stored data;

[2027] an attaching means for attaching an electronic signature to the document transcribed by the transcribing means;

[2028] a generating means for transmitting the generated document to a user terminal;

[2029] A system including:

[2030] (Claim 2)

[2031] 10. The system of claim 1, further comprising means for a user to input modifications to the generated document.

[2032] (Claim 3)

[2033] 10. The system of claim 1, further comprising printing means for enabling the generated document to be printed using a network printing service.

[2034] "Application Example 1"

[2035] (Claim 1)

[2036] an input means for inputting personal information;

[2037] a transmitting means for transmitting the data input by the input means to a server;

[2038] a storage means for storing the data transmitted by the transmission means in a database;

[2039] a transcription means for automatically transcribing information into a plurality of document templates based on the stored data;

[2040] an attaching means for attaching an electronic signature to the document transcribed by the transcribing means;

[2041] a generating means for transmitting the generated document to a user terminal;

[2042] an output means for enabling the document generated by the generation means to be printed on an in-store printer;

[2043] A system including:

[2044] (Claim 2)

[2045] 10. The system of claim 1, further comprising means for a user to input modifications to the generated document.

[2046] (Claim 3)

[2047] 10. The system of claim 1, further comprising output means for enabling the generated document to be printed via a convenience device.

[2048] "Example 2: Combining Emotion Engines"

[2049] (Claim 1)

[2050] an input means for inputting personal information;

[2051] a transmitting means for transmitting the data input by the input means to a processing device;

[2052] a storage means for storing the data transmitted by the transmission means in a storage device;

[2053] A transcription means for automatically transcribing information into multiple document templates based on the stored data;

[2054] an attaching means for attaching an electronic signature to the document transcribed by the transcribing means;

[2055] generating means for transmitting the generated document to a user device;

[2056] emotion recognition means for analyzing face and voice data of a user and recognizing emotions;

[2057] A system including:

[2058] (Claim 2)

[2059] 10. The system of claim 1, further comprising means for a user to input modifications to the generated document.

[2060] (Claim 3)

[2061] 10. The system of claim 1, further comprising a printing means for enabling the generated document to be printed using a network printing service.

[2062] "Application example 2 when combining emotion engines"

[2063] (Claim 1)

[2064] an input means for inputting personal information;

[2065] a transmitting means for transmitting the data input by the input means to a server;

[2066] a storage means for storing the data transmitted by the transmission means in a database;

[2067] A transcription means for automatically transcribing information into multiple document templates based on the saved data;

[2068] an attaching means for attaching an electronic seal to the document transcribed by the transcribing means;

[2069] a generating means for transmitting the generated document to a user terminal;

[2070] An emotion analysis means that recognizes the user's emotions and suggests appropriate responses;

[2071] A system including:

[2072] (Claim 2)

[2073] 10. The system of claim 1, further comprising means for a user to input modifications to the generated document.

[2074] (Claim 3)

[2075] 2. The system according to claim 1, further comprising a printing means for enabling the generated document to be printed using a net print service. [Explanation of symbols]

[2076] 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. an input means for inputting personal information; a transmitting means for transmitting the data input by the input means to a server; a storage means for storing the data transmitted by the transmission means in a database; A transcription means for automatically transcribing information into multiple document templates based on the saved data; an attaching means for attaching an electronic seal to the document transcribed by the transcribing means; A generating means for transmitting the generated document to a user terminal; A system including:

2. 10. The system of claim 1, further comprising means for a user to input modifications to the generated document.

3. 2. The system according to claim 1, further comprising printing means for enabling the generated document to be printed using a net print service.

Images