system

Abstract

We provide the system. [Solution] A means equipped with an artificial intelligence module for converting English addresses to Japanese addresses, A means of verifying the accuracy of an address after its conversion using historical databases and geographic information systems, A means to automatically determine whether or not to provide communication lines based on verified address information, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In corporate communication services, it is a problem that a lot of time and labor are required for correcting typos and omissions when converting an English-written address to Japanese-written, and for verifying the accuracy of the address. Furthermore, these operations depend on the individual skills of the operator and cannot be said to be an efficient process. It is necessary to solve this problem and reduce man-hours and improve accuracy through automation of the process.

Means for Solving the Problems

[0005] This invention provides a system that utilizes an artificial intelligence module to convert English addresses into Japanese addresses. This system includes means for verifying the accuracy of the converted addresses using historical databases and geographic information systems. Furthermore, based on the verified address information, it automatically determines whether communication lines can be provided and automates the customer application process, thereby improving operational efficiency. This results in faster and more accurate administrative processing.

[0006] An "address in English" refers to a phrase indicating a geographical location written in English.

[0007] "Address in Japanese" refers to a term or phrase that indicates a geographical location written in Japanese.

[0008] An "artificial intelligence module" is an AI program or algorithm designed to handle a specific task.

[0009] A "database" is a collection of information that is organized, stored, and made easily accessible.

[0010] A "Geographic Information System" is a system for collecting, managing, analyzing, and displaying geospatial data.

[0011] A "communication line" is a technology or equipment that provides a physical or wireless connection path for information communication.

[0012] The "customer application process" refers to the procedures that customers go through in order to use a service or product.

[0013] "Automation" refers to a state in which processes are executed by machines or computer systems without human intervention. [Brief explanation of the drawing]

[0014] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

MODE FOR CARRYING OUT THE INVENTION

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0020] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor and 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), or Bluetooth (registered trademark), and the like.

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] This invention is implemented as a system that converts English addresses into Japanese addresses, and then automatically determines whether or not to verify the address and provide a communication line. This system consists of three components: a server, a terminal, and a user. The operation of the program in each component and the method of implementing the system are described below.

[0036] First, the user enters an address written in English via their terminal. This input is sent to the server, where processing begins. The server uses an artificial intelligence module to convert the entered English address into Japanese. Because the artificial intelligence module is based on machine learning algorithms, the conversion accuracy is high.

[0037] Next, the server consults historical databases and geographic information systems to verify the converted Japanese address. This confirms that the address is accurate and exists. If the verification is successful, the server uses area information to determine whether a communication line can be provided. If it is determined that provision is possible, the system automates the application process and proceeds quickly.

[0038] As a concrete example, consider a case where a user enters the English address "1600 Amphitheatre Parkway, Mountain View, CA". The terminal sends this information to the server, which translates the address into Japanese as "1600 Amphitheatre Parkway, Mountain View, California, United States". The server then verifies the accuracy of the address, and if service is available, it automatically proceeds with the application process for the line.

[0039] In this way, the present invention automates the entire process of address conversion, subsequent verification, and application processing, thereby improving the efficiency and accuracy of operations.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The user enters their address in English using a device. The device formats the address information and sends it to the server.

[0043] Step 2:

[0044] The server stores the received English address in a processing queue. Next, it activates the generated artificial intelligence module and begins the process of converting the English address to Japanese.

[0045] Step 3:

[0046] The server compares the address, converted to Japanese, with past database data. It retrieves the history and existing data of the converted address information from the database and checks if there is any matching information.

[0047] Step 4:

[0048] The server accesses a geographic information system to verify whether the converted Japanese address actually exists. Based on the results from the geographic information system, it determines the accuracy of the address.

[0049] Step 5:

[0050] If the server confirms that the address is correct, it will then contact the area information system to determine whether or not to provide communication lines based on factors other than the address.

[0051] Step 6:

[0052] Based on the verification results, the server will automatically proceed with the application process if it is possible to provide the service. It will generate the necessary documents and procedural information and complete the process.

[0053] Step 7:

[0054] The server compiles the final processing results and sends them to the terminal. The terminal displays the results to the user and prompts them to confirm.

[0055] (Example 1)

[0056] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0057] The process of converting location information into other languages ​​required manual verification and correction by staff, leading to errors and inefficiencies in this process. Furthermore, determining the accuracy of the converted information and the feasibility of providing communication services was time-consuming. Therefore, there is a need to expedite the overall business process and improve accuracy.

[0058] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0059] In this invention, the server includes means for a machine learning module to convert location information written in English into a corresponding language format, means for referring to a record database and a geographic information analysis system to verify the accuracy of the converted location information, and means for automatically determining whether or not to provide communication services based on the verified location information. This automates the entire process from location information conversion to verification and determination of whether or not to provide services, enabling efficient and accurate service provision.

[0060] A "machine learning module" is a component that implements algorithms to automatically perform specific tasks based on input data, and is applied with high accuracy to things like converting addresses and location information.

[0061] A "record database" is a structured collection of information used to systematically store and accumulate past location and address data, and is used for searching and retrieving that data.

[0062] A "geographic information analysis system" is a computer system that represents geographic data in digital format, enabling analysis and visualization on maps, and is used for verifying the accuracy and existence of addresses.

[0063] "Means for automatically determining whether or not communication services can be provided" refers to a system that has the function of instantly determining whether or not communication services can be provided in a specific area based on location information, thereby streamlining the service provision process.

[0064] Modes for carrying out the invention

[0065] The system of the present invention has a configuration mainly consisting of a server, terminal, and user, and converts location information into a multilingual format and automatically determines whether or not communication services can be provided.

[0066] First, the user enters their address in English via their device. This information is sent to the server via the internet. The server then passes the entered address to a machine learning module. This module is equipped with a generative AI model that can convert the English address into Japanese with high accuracy.

[0067] Next, the server compares this converted address information with a record database and a geographic information analysis system to verify the accuracy of the address. This allows the server to confirm that the location information is accurate and real.

[0068] Finally, the server automatically determines whether communication services are available at that address based on verified location information. If necessary, it can automatically initiate the service application process based on available plans and regional information.

[0069] As a concrete example, consider a scenario where a user enters the address "1600 Amphitheatre Parkway, Mountain View, CA" in English. When this information is sent to the server, the server translates it into Japanese as "1600 Amphitheatre Parkway, Mountain View, California, United States," and then verifies its accuracy using a geographic information analysis system. If the server determines that communication services are available, the application process proceeds automatically.

[0070] An example of a prompt for the generating AI model is, "Please convert the following English address to Japanese: 1600 Amphitheatre Parkway, Mountain View, CA." This aims to automate and improve the accuracy of address conversion.

[0071] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0072] Step 1:

[0073] The user uses a terminal to enter an address in English. The entered address data is sent to the server through the terminal's interface. At this point, the input might be, for example, "1600 Amphitheatre Parkway, Mountain View, CA". This transmission prepares the address data for processing on the server side.

[0074] Step 2:

[0075] The server passes the received English address data to a machine learning module equipped with a generation AI model. This module performs natural language processing on the address, converting it from English to Japanese with high accuracy. The input is English address data, and the output is an address in Japanese, such as "1600 Amphitheater Parkway, Mountain View, California, United States." This process forms the foundation for multilingual support in the system.

[0076] Step 3:

[0077] The server uses the converted Japanese address to verify its accuracy. To do this, the server accesses a record database and a geographic information analysis system. The input is the converted address data, and the existence and accuracy of the address are verified by comparing it with the database and GIS. The output is the verified address information, which can then be used to proceed to the next step.

[0078] Step 4:

[0079] The server automatically determines whether communication services can be provided based on verified address information. The server refers to an area information database to check the service availability and corresponding plans for a specific region. The input is the verified address information, and the output is the result of the communication service availability determination. If service is deemed available, the automated application process begins.

[0080] (Application Example 1)

[0081] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0082] In international trade, accurately translating address information provided in English into Japanese presents a challenge in ensuring accurate product inventory checks and prompt purchase procedures. Solving this challenge is crucial for improving the consumer experience and streamlining operations.

[0083] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0084] In this invention, the server includes means for an artificial intelligence module for converting geographical locations written in English to Japanese; means for automatically determining whether a communication route can be provided based on the verified location information; and means for checking inventory information using the converted location information based on user input. This enables the automation of address conversion and inventory checks.

[0085] "Geographical location in English" refers to information about geographical location or address written in English.

[0086] The "artificial intelligence module for converting to Japanese notation" is a set of programs designed to accurately convert geographical location information written in English into Japanese notation.

[0087] A "historical information aggregate" is a data store that aggregates data such as addresses and geographical information that has been accumulated up to the present.

[0088] A "spatial information system" is a computer system that handles geographical information and makes it available for various purposes.

[0089] "Means for automatically determining whether or not a communication path can be provided" refers to the functions or processes of a system that automatically determine the availability of usable communication infrastructure.

[0090] "User input" refers to the action of a user entering some kind of information into a system, or the information itself.

[0091] "Checking inventory information" is the act of investigating and confirming how much of a product or resource is present in a designated location.

[0092] "Automating the user's purchase process" means automating the entire process that consumers go through when purchasing goods, thereby saving them time and effort.

[0093] A "user's information terminal" is an electronic device used by consumers to receive or input information.

[0094] To realize this invention, a system combining multiple hardware and software components is required. It primarily consists of a user terminal, a server, an artificial intelligence module, a database, and a spatial information system.

[0095] Users input their geographical location in English via information devices such as smartphones and tablets. The entered information is sent to a server via the internet. The server uses an artificial intelligence module built with a programming language such as Python to convert the English geographical location into Japanese.

[0096] The converted location information is verified for accuracy by accessing historical data aggregates and spatial information systems using a database system such as PostgreSQL. The verified information is then directly linked to inventory information for products and services, and a determination is also made regarding the availability of communication routes.

[0097] As a concrete example, consider a case where a user enters a geographical location such as "123 Main St, New York, NY." The server translates this information into Japanese as "123 Main Street, New York City," checks the inventory status of warehouses and stores based on that information, and notifies the consumer in real time.

[0098] Examples of prompts that utilize the generative AI model include: "Please enter an English address. Example: '1600 Amphitheatre Parkway, Mountain View, CA'", and "Retrieving the converted Japanese address and related inventory information. Please wait." These prompts allow users to intuitively understand how to use the system.

[0099] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0100] Step 1:

[0101] The user enters their geographical location in English using their personal information terminal. This information is stored on the terminal as electronic data and is ready for use in the next step.

[0102] Step 2:

[0103] The terminal sends the entered geographical location in English to the server. The input here is address information in text format, and once it reaches the server, the next process begins.

[0104] Step 3:

[0105] The server inputs the received English address into an artificial intelligence module, which then processes it to convert it into Japanese. As part of the data processing, a machine learning algorithm is applied to output a highly accurate Japanese address.

[0106] Step 4:

[0107] The server queries the database for the converted Japanese address and verifies its accuracy using historical data aggregates and spatial information systems. The input in this step is the Japanese address, and the output is the verification result.

[0108] Step 5:

[0109] Based on verified Japanese addresses, the server checks the relevant inventory information. In this process, address information is taken as input, and the availability and status of inventory associated with that address are obtained as output.

[0110] Step 6:

[0111] Finally, the server notifies the user's information terminal of the results of the above series of processes. The input is the result data of all processes, and the output is a notification message presented to the user in an easy-to-understand manner.

[0112] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0113] This invention is implemented as a system that converts an English address to Japanese, verifies the accuracy of the address, and then automatically determines whether or not to provide a communication line, while recognizing the user's emotions and providing feedback to the process. This system combines three components: a server, a terminal, and a user, with an emotion engine.

[0114] First, the user uses the device to enter an address written in English. During this process, the device analyzes the user's input data in real time, and the emotion engine recognizes the user's emotional state. The emotion engine estimates the user's emotions by considering multiple parameters such as the user's voice tone, input speed, and touch pressure.

[0115] Once address information is entered, the terminal sends that information to the server. The server uses an artificial intelligence module to convert the English address into Japanese. During this conversion process, information from the emotion engine is fed back, and the interface is dynamically adjusted as needed. For example, if it is estimated that the user is experiencing stress, considerations such as clearly explaining the progress are taken.

[0116] Next, the server uses historical databases and geographic information systems to verify the accuracy of the address and automatically determines whether or not to provide a communication line. Even at this stage, the user's emotional state is reflected in the progress display of the process.

[0117] For example, if a user is temporarily frustrated while entering an unfamiliar address, the emotion engine will detect this and the server will adjust the interface display to make it more user-friendly, thereby reducing the user's stress. In this way, integrating the emotion engine throughout the entire system improves the user experience.

[0118] The system ultimately sends verified address information and the availability of a connection back to the terminal, notifying the user. The emotion engine data can be used to improve the process and further optimize the system.

[0119] The following describes the processing flow.

[0120] Step 1:

[0121] The user enters an address in English using the device. The device monitors the entered information in real time and estimates the user's emotions by detecting voice tone, input speed, and touch pressure through an emotion engine.

[0122] Step 2:

[0123] The device sends the address information entered by the user to the server. Simultaneously, it also sends estimated information about the user's emotions.

[0124] Step 3:

[0125] The server processes the received English address using an artificial intelligence module and converts it to Japanese. During this process, explanations of the conversion process are fed back to the terminal based on the user's emotional state. For example, if the user is feeling anxious, the terminal will display the progress visually in an easy-to-understand manner.

[0126] Step 4:

[0127] The server verifies the accuracy of the address by comparing the Japanese-translated address with historical databases and geographic information systems. While verification is in progress, the terminal displays the status to the user and adjusts notifications according to the user's emotional state.

[0128] Step 5:

[0129] If the server verifies that the address is correct, it queries the area information system to determine whether or not to provide a communication line. This decision is also sent to the terminal appropriately, taking into account the user's sentiment.

[0130] Step 6:

[0131] The server compiles the results of address verification and the determination of whether a communication line can be provided, and sends a final message to the terminal. The terminal displays the results to the user in a way that is appropriate to the user's emotional state.

[0132] Step 7:

[0133] User sentiment data is analyzed to help improve future processes and is used to optimize the system. For example, if users frequently express anxiety, the guidelines for the entire process will be improved.

[0134] (Example 2)

[0135] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0136] In modern society, applying for communication services and registering addresses via the internet are necessary in many situations, but accurate translation and verification of addresses are difficult in multilingual environments. Furthermore, the process can be complex and stressful for users. In addition, there is a lack of technology that allows systems to recognize user emotions and provide a better service experience.

[0137] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0138] In this invention, the server includes means for an information processing device that converts an English address into a Japanese address using natural language processing technology; means for verifying the accuracy of the location after the address conversion using a history database and a location information system; means for automatically determining whether or not to provide a communication network based on the verified location information; and means for recognizing the user's emotional state and adaptively adjusting the progress of the processing. This enables users to register their addresses without stress and to use communication services accurately.

[0139] An "information processing device" refers to a computer system designed to collect, analyze, transform, or process data.

[0140] "Natural language processing technology" refers to technologies that provide computers with the ability to understand, interpret, and generate human language.

[0141] A "historical database" refers to a database system that stores data recorded in the past and allows for searching and analysis.

[0142] A "location information system" refers to a technology or system for acquiring, processing, and providing information about geographical location.

[0143] A "communication network" refers to the infrastructure used to send and receive data between multiple devices and systems.

[0144] "User's emotional state" refers to the emotions and psychological state that a user is experiencing at a particular moment.

[0145] "Adaptively adjusting" refers to a system dynamically changing its behavior and processing in response to the user's needs and state.

[0146] The following procedures and components are used in embodiments for carrying out this invention.

[0147] The user enters address information in English using the terminal. The terminal is equipped with an emotion analysis engine that analyzes the user's input in real time and recognizes their emotional state. The emotion analysis engine provides technology that estimates the user's emotional state by monitoring the user's input speed, pressure on the touchscreen, and tone of voice.

[0148] The terminal then sends the entered address data to the server. The server uses an information processing device to activate a generative AI model and utilizes natural language processing technology to convert the English address into Japanese. During this process, the server receives feedback from the sentiment analysis engine and makes adjustments in real time to improve the user experience.

[0149] Furthermore, the server uses a historical database and a location information system to verify the accuracy of the converted address. Once verification is complete, the server automatically determines whether a communication network is available and compiles the necessary information.

[0150] For example, if the system detects temporary frustration when a user enters an unclear address, it can use that information to display a more visually understandable progress indicator. In this way, the entire system becomes more responsive, taking user emotions into consideration.

[0151] Finally, the server sends the verified address information and communication feasibility results back to the terminal and notifies the user. At this time, sentiment-based messaging is used so that the user understands what the result was.

[0152] An example of a prompt message would be, "Please enter your address in English. The system will analyze the sentiment while converting it to Japanese and determine if a communication line is available." This allows users to understand the system's functions and use it with confidence.

[0153] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0154] Step 1:

[0155] The user enters an address written in English via a terminal. The terminal receives the entered address data and analyzes the user's typing speed, pressure, and tone of voice in real time for sentiment analysis. During this process, the terminal's sentiment analysis engine estimates the user's emotional state. The input is English address data, and the output is data related to the estimated emotional state.

[0156] Step 2:

[0157] The terminal sends acquired address data and emotional state data to the server. The server receives this data using an information processing device. It uses the received English address data as input to activate a generative AI model. Natural language processing technology is used to convert the English address to Japanese. The output is the address data converted to Japanese.

[0158] Step 3:

[0159] The server passes the converted address data to a historical database and a location information system for verification of its accuracy. The historical database compares the data with past data, and the location information verifies the geographical information. The input for this verification process is address data converted to Japanese, and the output is address information whose accuracy has been verified.

[0160] Step 4:

[0161] The server automatically determines whether or not to provide network access based on verified address information. This determination is made using the system's rule engine to check whether the address is within a network service area. The input is verified address information, and the output is the result regarding network access availability.

[0162] Step 5:

[0163] The server sends the final result back to the terminal. The terminal receives this information and notifies the user of the result. At this time, the terminal adjusts the messaging based on the user's emotions detected by the emotion analysis engine. For example, the content and tone of the message will be changed depending on whether positive or negative emotions are detected. The input is the result of whether communication was possible or not and emotion state data, and the output is a notification message to the user.

[0164] (Application Example 2)

[0165] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0166] In international e-commerce, inaccurate information due to address input errors or language conversions can affect the decision on whether or not to provide communication lines, which degrades the user experience. Furthermore, traditional systems do not consider the user's emotional state, leading to stress during the process. These problems need to be solved to improve user satisfaction.

[0167] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0168] In this invention, the server includes means for a computer program to convert an English address to a Japanese address, means for verifying the accuracy of the address after conversion using a past data set and a geographic information system, and means for detecting the user's emotional state and dynamically adjusting the operation screen based on the detected emotion. This enables accurate and efficient address verification and communication line provision decisions, and allows for the provision of a comfortable user experience that takes the user's emotional state into consideration.

[0169] An "address in English" refers to geographical location information written in English.

[0170] "Converting to Japanese notation" refers to the process of translating information written in English into Japanese.

[0171] A "computer program" is a set of algorithms and instructions designed to perform a specific task.

[0172] An "information set" is a collection of data that has been collected and organized in the past.

[0173] A "geographic information system" is a general term for technologies and tools used to collect, manage, and analyze geospatial data.

[0174] "Verifying accuracy" is the act of evaluating whether information is accurate and reliable.

[0175] "Availability of providing communication lines" refers to the criteria used to determine whether data communication services can be provided at a specified geographical location.

[0176] "User emotional state" refers to the psychological and physiological reactions that a user experiences at a particular moment.

[0177] "Dynamically adjusting the user interface" refers to the process of changing the user interface in real time to adapt to the user's state.

[0178] The system for carrying out this invention includes three main components: a server, a terminal, and a user. The user enters an address in English using the terminal. The entered address is converted to Japanese in real time by a computer program. This conversion process uses the Google® Cloud Translation API.

[0179] The device incorporates an emotion analysis engine (Emotion API) that evaluates the user's emotional state based on their input speed, touch pressure, and voice tone. If the system determines that the user is experiencing stress, it adjusts the user interface to be more user-friendly, improving the user experience.

[0180] The server receives the converted address and verifies its accuracy using historical data and geographic information systems (Google Maps API). Once verified, the address is used to determine whether or not a communication line can be provided. This process is automated, and the user's progress is notified to their device based on their emotional state.

[0181] For example, if a user makes a mistake when entering their address when purchasing goods on an international e-commerce site, this system will detect that the user is experiencing tension or stress. Based on this, the system will improve the user interface and provide reassuring guidance to the user.

[0182] An example of a prompt to be input into the generating AI model would be: "Enter an address written in English, convert it to Japanese, and verify its accuracy. Analyze the user's emotions during input and adjust the process if possible." This allows the system to provide a user-friendly environment and achieve the objective of the invention.

[0183] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0184] Step 1:

[0185] The user enters their address in English into the device. The address information is provided to the device as input data. The device sends this address data to an emotion analysis engine (Emotion API) to evaluate the user's emotional state. The engine analyzes input speed, touch pressure, voice tone, etc., to determine whether the user is relaxed or stressed.

[0186] Step 2:

[0187] The device sends address data to the server. The server translates the entered address into Japanese using the Google Cloud Translation API. In this process, the entered English address is translated and output as a Japanese address. Data processing is performed to ensure the accuracy of the translation.

[0188] Step 3:

[0189] The server verifies the accuracy of the converted Japanese address using historical data and geographic information systems (Google Maps API). It uses the converted address data as input and compares it with a map database to determine if the address actually exists. The output is the verified address data.

[0190] Step 4:

[0191] After verifying the accuracy of the address, the server automatically determines whether or not to provide communication lines. Based on the verified address data, it compares it against the provider's criteria to determine whether or not communication services can be provided. As a result, it generates and outputs information indicating whether or not the service is available.

[0192] Step 5:

[0193] Based on the results returned to the device, the user interface is adjusted according to the user's emotional state. If the user is experiencing stress, the device displays friendly messages and guides and changes the user interface. This improves the user experience.

[0194] Step 6:

[0195] Finally, the server notifies the terminal of the address information it has verified and whether or not a communication line can be provided. The notified data is designed to be displayed in an easy-to-understand manner for the user and to prompt them to take the next action.

[0196] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0197] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0198] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0199] [Second Embodiment]

[0200] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0201] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0202] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0203] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0204] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0205] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0206] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0207] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0208] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0209] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0210] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0211] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0212] This invention is implemented as a system that converts English addresses into Japanese addresses, and then automatically determines whether or not to verify the address and provide a communication line. This system consists of three components: a server, a terminal, and a user. The operation of the program in each component and the method of implementing the system are described below.

[0213] First, the user enters an address written in English via their terminal. This input is sent to the server, where processing begins. The server uses an artificial intelligence module to convert the entered English address into Japanese. Because the artificial intelligence module is based on machine learning algorithms, the conversion accuracy is high.

[0214] Next, the server consults historical databases and geographic information systems to verify the converted Japanese address. This confirms that the address is accurate and exists. If the verification is successful, the server uses area information to determine whether a communication line can be provided. If it is determined that provision is possible, the system automates the application process and proceeds quickly.

[0215] As a concrete example, consider a case where a user enters the English address "1600 Amphitheatre Parkway, Mountain View, CA". The terminal sends this information to the server, which translates the address into Japanese as "1600 Amphitheatre Parkway, Mountain View, California, United States". The server then verifies the accuracy of the address, and if service is available, it automatically proceeds with the application process for the line.

[0216] In this way, the present invention automates the entire process of address conversion, subsequent verification, and application processing, thereby improving the efficiency and accuracy of operations.

[0217] The following describes the processing flow.

[0218] Step 1:

[0219] The user enters their address in English using a device. The device formats the address information and sends it to the server.

[0220] Step 2:

[0221] The server stores the received English address in a processing queue. Next, it activates the generated artificial intelligence module and begins the process of converting the English address to Japanese.

[0222] Step 3:

[0223] The server compares the address, converted to Japanese, with past database data. It retrieves the history and existing data of the converted address information from the database and checks if there is any matching information.

[0224] Step 4:

[0225] The server accesses a geographic information system to verify whether the converted Japanese address actually exists. Based on the results from the geographic information system, it determines the accuracy of the address.

[0226] Step 5:

[0227] If the server confirms that the address is correct, it will then contact the area information system to determine whether or not to provide communication lines based on factors other than the address.

[0228] Step 6:

[0229] Based on the verification results, the server will automatically proceed with the application process if it is possible to provide the service. It will generate the necessary documents and procedural information and complete the process.

[0230] Step 7:

[0231] The server compiles the final processing results and sends them to the terminal. The terminal displays the results to the user and prompts them to confirm.

[0232] (Example 1)

[0233] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0234] The process of converting location information into other languages ​​required manual verification and correction by staff, leading to errors and inefficiencies in this process. Furthermore, determining the accuracy of the converted information and the feasibility of providing communication services was time-consuming. Therefore, there is a need to expedite the overall business process and improve accuracy.

[0235] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0236] In this invention, the server includes means for a machine learning module to convert location information written in English into a corresponding language format, means for referring to a record database and a geographic information analysis system to verify the accuracy of the converted location information, and means for automatically determining whether or not to provide communication services based on the verified location information. This automates the entire process from location information conversion to verification and determination of whether or not to provide services, enabling efficient and accurate service provision.

[0237] A "machine learning module" is a component that implements algorithms to automatically perform specific tasks based on input data, and is applied with high accuracy to things like converting addresses and location information.

[0238] A "record database" is a structured collection of information used to systematically store and accumulate past location and address data, and is used for searching and retrieving that data.

[0239] A "geographic information analysis system" is a computer system that represents geographic data in digital format, enabling analysis and visualization on maps, and is used for verifying the accuracy and existence of addresses.

[0240] "Means for automatically determining whether or not communication services can be provided" refers to a system that has the function of instantly determining whether or not communication services can be provided in a specific area based on location information, thereby streamlining the service provision process.

[0241] Modes for carrying out the invention

[0242] The system of the present invention has a configuration mainly consisting of a server, terminal, and user, and converts location information into a multilingual format and automatically determines whether or not communication services can be provided.

[0243] First, the user enters their address in English via their device. This information is sent to the server via the internet. The server then passes the entered address to a machine learning module. This module is equipped with a generative AI model that can convert the English address into Japanese with high accuracy.

[0244] Next, the server compares this converted address information with a record database and a geographic information analysis system to verify the accuracy of the address. This allows the server to confirm that the location information is accurate and real.

[0245] Finally, the server automatically determines whether communication services are available at that address based on verified location information. If necessary, it can automatically initiate the service application process based on available plans and regional information.

[0246] As a concrete example, consider a scenario where a user enters the address "1600 Amphitheatre Parkway, Mountain View, CA" in English. When this information is sent to the server, the server translates it into Japanese as "1600 Amphitheatre Parkway, Mountain View, California, United States," and then verifies its accuracy using a geographic information analysis system. If the server determines that communication services are available, the application process proceeds automatically.

[0247] An example of a prompt for the generating AI model is, "Please convert the following English address to Japanese: 1600 Amphitheatre Parkway, Mountain View, CA." This aims to automate and improve the accuracy of address conversion.

[0248] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0249] Step 1:

[0250] The user uses a terminal to enter an address in English. The entered address data is sent to the server through the terminal's interface. At this point, the input might be, for example, "1600 Amphitheatre Parkway, Mountain View, CA". This transmission prepares the address data for processing on the server side.

[0251] Step 2:

[0252] The server passes the received English address data to a machine learning module equipped with a generation AI model. This module performs natural language processing on the address, converting it from English to Japanese with high accuracy. The input is English address data, and the output is an address in Japanese, such as "1600 Amphitheater Parkway, Mountain View, California, United States." This process forms the foundation for multilingual support in the system.

[0253] Step 3:

[0254] The server uses the converted Japanese address to verify its accuracy. To do this, the server accesses a record database and a geographic information analysis system. The input is the converted address data, and the existence and accuracy of the address are verified by comparing it with the database and GIS. The output is the verified address information, which can then be used to proceed to the next step.

[0255] Step 4:

[0256] The server automatically determines whether communication services can be provided based on verified address information. The server refers to an area information database to check the service availability and corresponding plans for a specific region. The input is the verified address information, and the output is the result of the communication service availability determination. If service is deemed available, the automated application process begins.

[0257] (Application Example 1)

[0258] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0259] In international trade, accurately translating address information provided in English into Japanese presents a challenge in ensuring accurate product inventory checks and prompt purchase procedures. Solving this challenge is crucial for improving the consumer experience and streamlining operations.

[0260] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0261] In this invention, the server includes means for an artificial intelligence module for converting geographical locations written in English to Japanese; means for automatically determining whether a communication route can be provided based on the verified location information; and means for checking inventory information using the converted location information based on user input. This enables the automation of address conversion and inventory checks.

[0262] "Geographical location in English" refers to information about geographical location or address written in English.

[0263] The "artificial intelligence module for converting to Japanese notation" is a set of programs designed to accurately convert geographical location information written in English into Japanese notation.

[0264] A "historical information aggregate" is a data store that aggregates data such as addresses and geographical information that has been accumulated up to the present.

[0265] A "spatial information system" is a computer system that handles geographical information and makes it available for various purposes.

[0266] "Means for automatically determining whether or not a communication path can be provided" refers to the functions or processes of a system that automatically determine the availability of usable communication infrastructure.

[0267] "User input" refers to the action of a user entering some kind of information into a system, or the information itself.

[0268] "Checking inventory information" is the act of investigating and confirming how much of a product or resource is present in a designated location.

[0269] "Automating the user's purchase process" means automating the entire process that consumers go through when purchasing goods, thereby saving them time and effort.

[0270] A "user's information terminal" is an electronic device used by consumers to receive or input information.

[0271] To realize this invention, a system combining multiple hardware and software components is required. It primarily consists of a user terminal, a server, an artificial intelligence module, a database, and a spatial information system.

[0272] Users input their geographical location in English via information devices such as smartphones and tablets. The entered information is sent to a server via the internet. The server uses an artificial intelligence module built with a programming language such as Python to convert the English geographical location into Japanese.

[0273] The converted location information is verified for accuracy by accessing historical data aggregates and spatial information systems using a database system such as PostgreSQL. The verified information is then directly linked to inventory information for products and services, and a determination is also made regarding the availability of communication routes.

[0274] As a concrete example, consider a case where a user enters a geographical location such as "123 Main St, New York, NY." The server translates this information into Japanese as "123 Main Street, New York City," checks the inventory status of warehouses and stores based on that information, and notifies the consumer in real time.

[0275] Examples of prompts that utilize the generative AI model include: "Please enter an English address. Example: '1600 Amphitheatre Parkway, Mountain View, CA'", and "Retrieving the converted Japanese address and related inventory information. Please wait." These prompts allow users to intuitively understand how to use the system.

[0276] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0277] Step 1:

[0278] The user enters their geographical location in English using their personal information terminal. This information is stored on the terminal as electronic data and is ready for use in the next step.

[0279] Step 2:

[0280] The terminal sends the entered geographical location in English to the server. The input here is address information in text format, and once it reaches the server, the next process begins.

[0281] Step 3:

[0282] The server inputs the received English address into the artificial intelligence module and performs a process of converting it into Japanese notation. As data processing, a machine learning algorithm is applied to output a highly accurate Japanese address.

[0283] Step 4:

[0284] The server queries the database with the converted Japanese-notation address and verifies its accuracy using the past information aggregation body and the spatial relationship information system. The input in this step is the Japanese address, and the output is the verification result.

[0285] Step 5:

[0286] Based on the verified Japanese address, the server checks the related inventory information. In this process, the address information is used as the input, and the presence and status of the inventory related to the address are obtained as the output.

[0287] Step 6:

[0288] Finally, the server notifies the user's information terminal of the above series of processing results. The input is the result data of all processes, and the output is a notification message presented in an easy-to-understand manner to the user.

[0289] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform specific processing using the user's emotion.

[0290] The present invention is implemented as a system that recognizes the user's emotion and provides feedback to the process when automatically determining whether to provide a communication line after converting an English-notation address into a Japanese notation and verifying the accuracy of the address. This system combines three components: a server, a terminal, and a user, as well as an emotion engine.

[0291] First, the user uses the device to enter an address written in English. During this process, the device analyzes the user's input data in real time, and the emotion engine recognizes the user's emotional state. The emotion engine estimates the user's emotions by considering multiple parameters such as the user's voice tone, input speed, and touch pressure.

[0292] Once address information is entered, the terminal sends that information to the server. The server uses an artificial intelligence module to convert the English address into Japanese. During this conversion process, information from the emotion engine is fed back, and the interface is dynamically adjusted as needed. For example, if it is estimated that the user is experiencing stress, considerations such as clearly explaining the progress are taken.

[0293] Next, the server uses historical databases and geographic information systems to verify the accuracy of the address and automatically determines whether or not to provide a communication line. Even at this stage, the user's emotional state is reflected in the progress display of the process.

[0294] For example, if a user is temporarily frustrated while entering an unfamiliar address, the emotion engine will detect this and the server will adjust the interface display to make it more user-friendly, thereby reducing the user's stress. In this way, integrating the emotion engine throughout the entire system improves the user experience.

[0295] The system ultimately sends verified address information and the availability of a connection back to the terminal, notifying the user. The emotion engine data can be used to improve the process and further optimize the system.

[0296] The following describes the processing flow.

[0297] Step 1:

[0298] The user uses the terminal to enter an address in English notation. The terminal monitors the input information in real time, detects the tone of voice, input speed, and touch strength through the emotion engine, and estimates the user's emotion.

[0299] Step 2:

[0300] The terminal sends the address information entered by the user to the server. At the same time, the estimated user emotion information is also sent together.

[0301] Step 3:

[0302] The server processes the received address in English notation with an artificial intelligence module and converts it into Japanese notation. At this time, an explanation of the conversion process is fed back to the terminal according to the user's emotion information. For example, when the user is feeling anxious, the terminal displays the progress visually and clearly.

[0303] Step 4:

[0304] The server collates the address converted into Japanese with the past database and the geographic information system to verify the accuracy of the address. While the verification is being carried out, the terminal displays the status to the user and adjusts the notification according to the user's emotional state.

[0305] Step 5:

[0306] If the server confirms that the address is accurate, it queries the area information system to determine whether a communication line can be provided. This judgment result is also sent to the terminal appropriately according to the user's emotion.

[0307] Step 6:

[0308] The server summarizes the results of judging the address confirmation and the availability of communication line, and sends the final message to the terminal. The terminal displays the result to the user in a form that matches the user's emotional state.

[0309] Step 7:

[0310] User sentiment data is analyzed to help improve future processes and is used to optimize the system. For example, if users frequently express anxiety, the guidelines for the entire process will be improved.

[0311] (Example 2)

[0312] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0313] In modern society, applying for communication services and registering addresses via the internet are necessary in many situations, but accurate translation and verification of addresses are difficult in multilingual environments. Furthermore, the process can be complex and stressful for users. In addition, there is a lack of technology that allows systems to recognize user emotions and provide a better service experience.

[0314] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0315] In this invention, the server includes means for an information processing device that converts an English address into a Japanese address using natural language processing technology; means for verifying the accuracy of the location after the address conversion using a history database and a location information system; means for automatically determining whether or not to provide a communication network based on the verified location information; and means for recognizing the user's emotional state and adaptively adjusting the progress of the processing. This enables users to register their addresses without stress and to use communication services accurately.

[0316] An "information processing device" refers to a computer system designed to collect, analyze, transform, or process data.

[0317] "Natural language processing technology" refers to technologies that provide computers with the ability to understand, interpret, and generate human language.

[0318] A "historical database" refers to a database system that stores data recorded in the past and allows for searching and analysis.

[0319] A "location information system" refers to a technology or system for acquiring, processing, and providing information about geographical location.

[0320] A "communication network" refers to the infrastructure used to send and receive data between multiple devices and systems.

[0321] "User's emotional state" refers to the emotions and psychological state that a user is experiencing at a particular moment.

[0322] "Adaptively adjusting" refers to a system dynamically changing its behavior and processing in response to the user's needs and state.

[0323] The following procedures and components are used in embodiments for carrying out this invention.

[0324] The user enters address information in English using the terminal. The terminal is equipped with an emotion analysis engine that analyzes the user's input in real time and recognizes their emotional state. The emotion analysis engine provides technology that estimates the user's emotional state by monitoring the user's input speed, pressure on the touchscreen, and tone of voice.

[0325] The terminal then sends the entered address data to the server. The server uses an information processing device to activate a generative AI model and utilizes natural language processing technology to convert the English address into Japanese. During this process, the server receives feedback from the sentiment analysis engine and makes adjustments in real time to improve the user experience.

[0326] Furthermore, the server uses a historical database and a location information system to verify the accuracy of the converted address. Once verification is complete, the server automatically determines whether a communication network is available and compiles the necessary information.

[0327] For example, if the system detects temporary frustration when a user enters an unclear address, it can use that information to display a more visually understandable progress indicator. In this way, the entire system becomes more responsive, taking user emotions into consideration.

[0328] Finally, the server sends the verified address information and communication feasibility results back to the terminal and notifies the user. At this time, sentiment-based messaging is used so that the user understands what the result was.

[0329] An example of a prompt message would be, "Please enter your address in English. The system will analyze the sentiment while converting it to Japanese and determine if a communication line is available." This allows users to understand the system's functions and use it with confidence.

[0330] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0331] Step 1:

[0332] The user enters an address written in English via a terminal. The terminal receives the entered address data and analyzes the user's typing speed, pressure, and tone of voice in real time for sentiment analysis. During this process, the terminal's sentiment analysis engine estimates the user's emotional state. The input is English address data, and the output is data related to the estimated emotional state.

[0333] Step 2:

[0334] The terminal sends acquired address data and emotional state data to the server. The server receives this data using an information processing device. It uses the received English address data as input to activate a generative AI model. Natural language processing technology is used to convert the English address to Japanese. The output is the address data converted to Japanese.

[0335] Step 3:

[0336] The server passes the converted address data to a historical database and a location information system for verification of its accuracy. The historical database compares the data with past data, and the location information verifies the geographical information. The input for this verification process is address data converted to Japanese, and the output is address information whose accuracy has been verified.

[0337] Step 4:

[0338] The server automatically determines whether or not to provide network access based on verified address information. This determination is made using the system's rule engine to check whether the address is within a network service area. The input is verified address information, and the output is the result regarding network access availability.

[0339] Step 5:

[0340] The server sends the final result back to the terminal. The terminal receives this information and notifies the user of the result. At this time, the terminal adjusts the messaging based on the user's emotions detected by the emotion analysis engine. For example, the content and tone of the message will be changed depending on whether positive or negative emotions are detected. The input is the result of whether communication was possible or not and emotion state data, and the output is a notification message to the user.

[0341] (Application Example 2)

[0342] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0343] In international e-commerce, inaccurate information due to address input errors or language conversions can affect the decision on whether or not to provide communication lines, which degrades the user experience. Furthermore, traditional systems do not consider the user's emotional state, leading to stress during the process. These problems need to be solved to improve user satisfaction.

[0344] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0345] In this invention, the server includes means for a computer program to convert an English address to a Japanese address, means for verifying the accuracy of the address after conversion using a past data set and a geographic information system, and means for detecting the user's emotional state and dynamically adjusting the operation screen based on the detected emotion. This enables accurate and efficient address verification and communication line provision decisions, and allows for the provision of a comfortable user experience that takes the user's emotional state into consideration.

[0346] An "address in English" refers to geographical location information written in English.

[0347] "Converting to Japanese notation" refers to the process of translating information written in English into Japanese.

[0348] A "computer program" is a set of algorithms and instructions designed to perform a specific task.

[0349] An "information set" is a collection of data that has been collected and organized in the past.

[0350] A "geographic information system" is a general term for technologies and tools used to collect, manage, and analyze geospatial data.

[0351] "Verifying accuracy" is the act of evaluating whether information is accurate and reliable.

[0352] "Availability of providing communication lines" refers to the criteria used to determine whether data communication services can be provided at a specified geographical location.

[0353] "User emotional state" refers to the psychological and physiological reactions that a user experiences at a particular moment.

[0354] "Dynamically adjusting the user interface" refers to the process of changing the user interface in real time to adapt to the user's state.

[0355] The system for carrying out this invention includes three main components: a server, a terminal, and a user. The user enters an address in English using the terminal. The entered address is converted to Japanese in real time by a computer program. The Google Cloud Translation API is used for this conversion process.

[0356] The device incorporates an emotion analysis engine (Emotion API) that evaluates the user's emotional state based on their input speed, touch pressure, and voice tone. If the system determines that the user is experiencing stress, it adjusts the user interface to be more user-friendly, improving the user experience.

[0357] The server receives the converted address and verifies its accuracy using historical data and geographic information systems (Google Maps API). Once verified, the address is used to determine whether or not a communication line can be provided. This process is automated, and the user's progress is notified to their device based on their emotional state.

[0358] For example, if a user makes a mistake when entering their address when purchasing goods on an international e-commerce site, this system will detect that the user is experiencing tension or stress. Based on this, the system will improve the user interface and provide reassuring guidance to the user.

[0359] An example of a prompt to be input into the generating AI model would be: "Enter an address written in English, convert it to Japanese, and verify its accuracy. Analyze the user's emotions during input and adjust the process if possible." This allows the system to provide a user-friendly environment and achieve the objective of the invention.

[0360] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0361] Step 1:

[0362] The user enters their address in English into the device. The address information is provided to the device as input data. The device sends this address data to an emotion analysis engine (Emotion API) to evaluate the user's emotional state. The engine analyzes input speed, touch pressure, voice tone, etc., to determine whether the user is relaxed or stressed.

[0363] Step 2:

[0364] The device sends address data to the server. The server translates the entered address into Japanese using the Google Cloud Translation API. In this process, the entered English address is translated and output as a Japanese address. Data processing is performed to ensure the accuracy of the translation.

[0365] Step 3:

[0366] The server verifies the accuracy of the converted Japanese address using historical data and geographic information systems (Google Maps API). It uses the converted address data as input and compares it with a map database to determine if the address actually exists. The output is the verified address data.

[0367] Step 4:

[0368] After verifying the accuracy of the address, the server automatically determines whether or not to provide communication lines. Based on the verified address data, it compares it against the provider's criteria to determine whether or not communication services can be provided. As a result, it generates and outputs information indicating whether or not the service is available.

[0369] Step 5:

[0370] Based on the results returned to the device, the user interface is adjusted according to the user's emotional state. If the user is experiencing stress, the device displays friendly messages and guides and changes the user interface. This improves the user experience.

[0371] Step 6:

[0372] Finally, the server notifies the terminal of the address information it has verified and whether or not a communication line can be provided. The notified data is designed to be displayed in an easy-to-understand manner for the user and to prompt them to take the next action.

[0373] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0374] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0375] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0376] [Third Embodiment]

[0377] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0378] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0379] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0380] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0381] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0382] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0383] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0384] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0385] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0386] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0387] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0388] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0389] This invention is implemented as a system that converts English addresses into Japanese addresses, and then automatically determines whether or not to verify the address and provide a communication line. This system consists of three components: a server, a terminal, and a user. The operation of the program in each component and the method of implementing the system are described below.

[0390] First, the user enters an address written in English via their terminal. This input is sent to the server, where processing begins. The server uses an artificial intelligence module to convert the entered English address into Japanese. Because the artificial intelligence module is based on machine learning algorithms, the conversion accuracy is high.

[0391] Next, the server consults historical databases and geographic information systems to verify the converted Japanese address. This confirms that the address is accurate and exists. If the verification is successful, the server uses area information to determine whether a communication line can be provided. If it is determined that provision is possible, the system automates the application process and proceeds quickly.

[0392] As a concrete example, consider a case where a user enters the English address "1600 Amphitheatre Parkway, Mountain View, CA". The terminal sends this information to the server, which translates the address into Japanese as "1600 Amphitheatre Parkway, Mountain View, California, United States". The server then verifies the accuracy of the address, and if service is available, it automatically proceeds with the application process for the line.

[0393] In this way, the present invention automates the entire process of address conversion, subsequent verification, and application processing, thereby improving the efficiency and accuracy of operations.

[0394] The following describes the processing flow.

[0395] Step 1:

[0396] The user enters their address in English using a device. The device formats the address information and sends it to the server.

[0397] Step 2:

[0398] The server stores the received English address in a processing queue. Next, it activates the generated artificial intelligence module and begins the process of converting the English address to Japanese.

[0399] Step 3:

[0400] The server compares the address, converted to Japanese, with past database data. It retrieves the history and existing data of the converted address information from the database and checks if there is any matching information.

[0401] Step 4:

[0402] The server accesses a geographic information system to verify whether the converted Japanese address actually exists. Based on the results from the geographic information system, it determines the accuracy of the address.

[0403] Step 5:

[0404] If the server confirms that the address is correct, it will then contact the area information system to determine whether or not to provide communication lines based on factors other than the address.

[0405] Step 6:

[0406] Based on the verification results, the server will automatically proceed with the application process if it is possible to provide the service. It will generate the necessary documents and procedural information and complete the process.

[0407] Step 7:

[0408] The server compiles the final processing results and sends them to the terminal. The terminal displays the results to the user and prompts them to confirm.

[0409] (Example 1)

[0410] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0411] The process of converting location information into other languages ​​required manual verification and correction by staff, leading to errors and inefficiencies in this process. Furthermore, determining the accuracy of the converted information and the feasibility of providing communication services was time-consuming. Therefore, there is a need to expedite the overall business process and improve accuracy.

[0412] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0413] In this invention, the server includes means for a machine learning module to convert location information written in English into a corresponding language format, means for referring to a record database and a geographic information analysis system to verify the accuracy of the converted location information, and means for automatically determining whether or not to provide communication services based on the verified location information. This automates the entire process from location information conversion to verification and determination of whether or not to provide services, enabling efficient and accurate service provision.

[0414] A "machine learning module" is a component that implements algorithms to automatically perform specific tasks based on input data, and is applied with high accuracy to things like converting addresses and location information.

[0415] A "record database" is a structured collection of information used to systematically store and accumulate past location and address data, and is used for searching and retrieving that data.

[0416] A "geographic information analysis system" is a computer system that represents geographic data in digital format, enabling analysis and visualization on maps, and is used for verifying the accuracy and existence of addresses.

[0417] "Means for automatically determining whether or not communication services can be provided" refers to a system that has the function of instantly determining whether or not communication services can be provided in a specific area based on location information, thereby streamlining the service provision process.

[0418] Modes for carrying out the invention

[0419] The system of the present invention has a configuration mainly consisting of a server, terminal, and user, and converts location information into a multilingual format and automatically determines whether or not communication services can be provided.

[0420] First, the user enters their address in English via their device. This information is sent to the server via the internet. The server then passes the entered address to a machine learning module. This module is equipped with a generative AI model that can convert the English address into Japanese with high accuracy.

[0421] Next, the server compares this converted address information with a record database and a geographic information analysis system to verify the accuracy of the address. This allows the server to confirm that the location information is accurate and real.

[0422] Finally, the server automatically determines whether communication services are available at that address based on verified location information. If necessary, it can automatically initiate the service application process based on available plans and regional information.

[0423] As a concrete example, consider a scenario where a user enters the address "1600 Amphitheatre Parkway, Mountain View, CA" in English. When this information is sent to the server, the server translates it into Japanese as "1600 Amphitheatre Parkway, Mountain View, California, United States," and then verifies its accuracy using a geographic information analysis system. If the server determines that communication services are available, the application process proceeds automatically.

[0424] An example of a prompt for the generating AI model is, "Please convert the following English address to Japanese: 1600 Amphitheatre Parkway, Mountain View, CA." This aims to automate and improve the accuracy of address conversion.

[0425] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0426] Step 1:

[0427] The user uses a terminal to enter an address in English. The entered address data is sent to the server through the terminal's interface. At this point, the input might be, for example, "1600 Amphitheatre Parkway, Mountain View, CA". This transmission prepares the address data for processing on the server side.

[0428] Step 2:

[0429] The server passes the received English address data to a machine learning module equipped with a generation AI model. This module performs natural language processing on the address, converting it from English to Japanese with high accuracy. The input is English address data, and the output is an address in Japanese, such as "1600 Amphitheater Parkway, Mountain View, California, United States." This process forms the foundation for multilingual support in the system.

[0430] Step 3:

[0431] The server uses the converted Japanese address to verify its accuracy. To do this, the server accesses a record database and a geographic information analysis system. The input is the converted address data, and the existence and accuracy of the address are verified by comparing it with the database and GIS. The output is the verified address information, which can then be used to proceed to the next step.

[0432] Step 4:

[0433] The server automatically determines whether communication services can be provided based on verified address information. The server refers to an area information database to check the service availability and corresponding plans for a specific region. The input is the verified address information, and the output is the result of the communication service availability determination. If service is deemed available, the automated application process begins.

[0434] (Application Example 1)

[0435] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0436] In international trade, accurately translating address information provided in English into Japanese presents a challenge in ensuring accurate product inventory checks and prompt purchase procedures. Solving this challenge is crucial for improving the consumer experience and streamlining operations.

[0437] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0438] In this invention, the server includes means for an artificial intelligence module for converting geographical locations written in English to Japanese; means for automatically determining whether a communication route can be provided based on the verified location information; and means for checking inventory information using the converted location information based on user input. This enables the automation of address conversion and inventory checks.

[0439] "Geographical location in English" refers to information about geographical location or address written in English.

[0440] The "artificial intelligence module for converting to Japanese notation" is a set of programs designed to accurately convert geographical location information written in English into Japanese notation.

[0441] A "historical information aggregate" is a data store that aggregates data such as addresses and geographical information that has been accumulated up to the present.

[0442] A "spatial information system" is a computer system that handles geographical information and makes it available for various purposes.

[0443] "Means for automatically determining whether or not a communication path can be provided" refers to the functions or processes of a system that automatically determine the availability of usable communication infrastructure.

[0444] "User input" refers to the action of a user entering some kind of information into a system, or the information itself.

[0445] "Checking inventory information" is the act of investigating and confirming how much of a product or resource is present in a designated location.

[0446] "Automating the user's purchase process" means automating the entire process that consumers go through when purchasing goods, thereby saving them time and effort.

[0447] A "user's information terminal" is an electronic device used by consumers to receive or input information.

[0448] To realize this invention, a system combining multiple hardware and software components is required. It primarily consists of a user terminal, a server, an artificial intelligence module, a database, and a spatial information system.

[0449] Users input their geographical location in English via information devices such as smartphones and tablets. The entered information is sent to a server via the internet. The server uses an artificial intelligence module built with a programming language such as Python to convert the English geographical location into Japanese.

[0450] The converted location information is verified for accuracy by accessing historical data aggregates and spatial information systems using a database system such as PostgreSQL. The verified information is then directly linked to inventory information for products and services, and a determination is also made regarding the availability of communication routes.

[0451] As a concrete example, consider a case where a user enters a geographical location such as "123 Main St, New York, NY." The server translates this information into Japanese as "123 Main Street, New York City," checks the inventory status of warehouses and stores based on that information, and notifies the consumer in real time.

[0452] Examples of prompts that utilize the generative AI model include: "Please enter an English address. Example: '1600 Amphitheatre Parkway, Mountain View, CA'", and "Retrieving the converted Japanese address and related inventory information. Please wait." These prompts allow users to intuitively understand how to use the system.

[0453] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0454] Step 1:

[0455] The user enters their geographical location in English using their personal information terminal. This information is stored on the terminal as electronic data and is ready for use in the next step.

[0456] Step 2:

[0457] The terminal sends the entered geographical location in English to the server. The input here is address information in text format, and once it reaches the server, the next process begins.

[0458] Step 3:

[0459] The server inputs the received English address into an artificial intelligence module, which then processes it to convert it into Japanese. As part of the data processing, a machine learning algorithm is applied to output a highly accurate Japanese address.

[0460] Step 4:

[0461] The server queries the database for the converted Japanese address and verifies its accuracy using historical data aggregates and spatial information systems. The input in this step is the Japanese address, and the output is the verification result.

[0462] Step 5:

[0463] Based on verified Japanese addresses, the server checks the relevant inventory information. In this process, address information is taken as input, and the availability and status of inventory associated with that address are obtained as output.

[0464] Step 6:

[0465] Finally, the server notifies the user's information terminal of the results of the above series of processes. The input is the result data of all processes, and the output is a notification message presented to the user in an easy-to-understand manner.

[0466] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0467] This invention is implemented as a system that converts an English address to Japanese, verifies the accuracy of the address, and then automatically determines whether or not to provide a communication line, while recognizing the user's emotions and providing feedback to the process. This system combines three components: a server, a terminal, and a user, with an emotion engine.

[0468] First, the user uses the device to enter an address written in English. During this process, the device analyzes the user's input data in real time, and the emotion engine recognizes the user's emotional state. The emotion engine estimates the user's emotions by considering multiple parameters such as the user's voice tone, input speed, and touch pressure.

[0469] Once address information is entered, the terminal sends that information to the server. The server uses an artificial intelligence module to convert the English address into Japanese. During this conversion process, information from the emotion engine is fed back, and the interface is dynamically adjusted as needed. For example, if it is estimated that the user is experiencing stress, considerations such as clearly explaining the progress are taken.

[0470] Next, the server uses historical databases and geographic information systems to verify the accuracy of the address and automatically determines whether or not to provide a communication line. Even at this stage, the user's emotional state is reflected in the progress display of the process.

[0471] For example, if a user is temporarily frustrated while entering an unfamiliar address, the emotion engine will detect this and the server will adjust the interface display to make it more user-friendly, thereby reducing the user's stress. In this way, integrating the emotion engine throughout the entire system improves the user experience.

[0472] The system ultimately sends verified address information and the availability of a connection back to the terminal, notifying the user. The emotion engine data can be used to improve the process and further optimize the system.

[0473] The following describes the processing flow.

[0474] Step 1:

[0475] The user enters an address in English using the device. The device monitors the entered information in real time and estimates the user's emotions by detecting voice tone, input speed, and touch pressure through an emotion engine.

[0476] Step 2:

[0477] The device sends the address information entered by the user to the server. Simultaneously, it also sends estimated information about the user's emotions.

[0478] Step 3:

[0479] The server processes the received English address using an artificial intelligence module and converts it to Japanese. During this process, explanations of the conversion process are fed back to the terminal based on the user's emotional state. For example, if the user is feeling anxious, the terminal will display the progress visually in an easy-to-understand manner.

[0480] Step 4:

[0481] The server verifies the accuracy of the address by comparing the Japanese-translated address with historical databases and geographic information systems. While verification is in progress, the terminal displays the status to the user and adjusts notifications according to the user's emotional state.

[0482] Step 5:

[0483] If the server verifies that the address is correct, it queries the area information system to determine whether or not to provide a communication line. This decision is also sent to the terminal appropriately, taking into account the user's sentiment.

[0484] Step 6:

[0485] The server compiles the results of address verification and the determination of whether a communication line can be provided, and sends a final message to the terminal. The terminal displays the results to the user in a way that is appropriate to the user's emotional state.

[0486] Step 7:

[0487] User sentiment data is analyzed to help improve future processes and is used to optimize the system. For example, if users frequently express anxiety, the guidelines for the entire process will be improved.

[0488] (Example 2)

[0489] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0490] In modern society, applying for communication services and registering addresses via the internet are necessary in many situations, but accurate translation and verification of addresses are difficult in multilingual environments. Furthermore, the process can be complex and stressful for users. In addition, there is a lack of technology that allows systems to recognize user emotions and provide a better service experience.

[0491] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0492] In this invention, the server includes means for an information processing device that converts an English address into a Japanese address using natural language processing technology; means for verifying the accuracy of the location after the address conversion using a history database and a location information system; means for automatically determining whether or not to provide a communication network based on the verified location information; and means for recognizing the user's emotional state and adaptively adjusting the progress of the processing. This enables users to register their addresses without stress and to use communication services accurately.

[0493] An "information processing device" refers to a computer system designed to collect, analyze, transform, or process data.

[0494] "Natural language processing technology" refers to technologies that provide computers with the ability to understand, interpret, and generate human language.

[0495] A "historical database" refers to a database system that stores data recorded in the past and allows for searching and analysis.

[0496] A "location information system" refers to a technology or system for acquiring, processing, and providing information about geographical location.

[0497] A "communication network" refers to the infrastructure used to send and receive data between multiple devices and systems.

[0498] "User's emotional state" refers to the emotions and psychological state that a user is experiencing at a particular moment.

[0499] "Adaptively adjusting" refers to a system dynamically changing its behavior and processing in response to the user's needs and state.

[0500] The following procedures and components are used in embodiments for carrying out this invention.

[0501] The user enters address information in English using the terminal. The terminal is equipped with an emotion analysis engine that analyzes the user's input in real time and recognizes their emotional state. The emotion analysis engine provides technology that estimates the user's emotional state by monitoring the user's input speed, pressure on the touchscreen, and tone of voice.

[0502] The terminal then sends the entered address data to the server. The server uses an information processing device to activate a generative AI model and utilizes natural language processing technology to convert the English address into Japanese. During this process, the server receives feedback from the sentiment analysis engine and makes adjustments in real time to improve the user experience.

[0503] Furthermore, the server uses a historical database and a location information system to verify the accuracy of the converted address. Once verification is complete, the server automatically determines whether a communication network is available and compiles the necessary information.

[0504] For example, if the system detects temporary frustration when a user enters an unclear address, it can use that information to display a more visually understandable progress indicator. In this way, the entire system becomes more responsive, taking user emotions into consideration.

[0505] Finally, the server sends the verified address information and communication feasibility results back to the terminal and notifies the user. At this time, sentiment-based messaging is used so that the user understands what the result was.

[0506] An example of a prompt message would be, "Please enter your address in English. The system will analyze the sentiment while converting it to Japanese and determine if a communication line is available." This allows users to understand the system's functions and use it with confidence.

[0507] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0508] Step 1:

[0509] The user enters an address written in English via a terminal. The terminal receives the entered address data and analyzes the user's typing speed, pressure, and tone of voice in real time for sentiment analysis. During this process, the terminal's sentiment analysis engine estimates the user's emotional state. The input is English address data, and the output is data related to the estimated emotional state.

[0510] Step 2:

[0511] The terminal sends acquired address data and emotional state data to the server. The server receives this data using an information processing device. It uses the received English address data as input to activate a generative AI model. Natural language processing technology is used to convert the English address to Japanese. The output is the address data converted to Japanese.

[0512] Step 3:

[0513] The server passes the converted address data to a historical database and a location information system for verification of its accuracy. The historical database compares the data with past data, and the location information verifies the geographical information. The input for this verification process is address data converted to Japanese, and the output is address information whose accuracy has been verified.

[0514] Step 4:

[0515] The server automatically determines whether or not to provide network access based on verified address information. This determination is made using the system's rule engine to check whether the address is within a network service area. The input is verified address information, and the output is the result regarding network access availability.

[0516] Step 5:

[0517] The server sends the final result back to the terminal. The terminal receives this information and notifies the user of the result. At this time, the terminal adjusts the messaging based on the user's emotions detected by the emotion analysis engine. For example, the content and tone of the message will be changed depending on whether positive or negative emotions are detected. The input is the result of whether communication was possible or not and emotion state data, and the output is a notification message to the user.

[0518] (Application Example 2)

[0519] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0520] In international e-commerce, inaccurate information due to address input errors or language conversions can affect the decision on whether or not to provide communication lines, which degrades the user experience. Furthermore, traditional systems do not consider the user's emotional state, leading to stress during the process. These problems need to be solved to improve user satisfaction.

[0521] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0522] In this invention, the server includes means for a computer program to convert an English address to a Japanese address, means for verifying the accuracy of the address after conversion using a past data set and a geographic information system, and means for detecting the user's emotional state and dynamically adjusting the operation screen based on the detected emotion. This enables accurate and efficient address verification and communication line provision decisions, and allows for the provision of a comfortable user experience that takes the user's emotional state into consideration.

[0523] An "address in English" refers to geographical location information written in English.

[0524] "Converting to Japanese notation" refers to the process of translating information written in English into Japanese.

[0525] A "computer program" is a set of algorithms and instructions designed to perform a specific task.

[0526] An "information set" is a collection of data that has been collected and organized in the past.

[0527] A "geographic information system" is a general term for technologies and tools used to collect, manage, and analyze geospatial data.

[0528] "Verifying accuracy" is the act of evaluating whether information is accurate and reliable.

[0529] "Availability of providing communication lines" refers to the criteria used to determine whether data communication services can be provided at a specified geographical location.

[0530] "User emotional state" refers to the psychological and physiological reactions that a user experiences at a particular moment.

[0531] "Dynamically adjusting the user interface" refers to the process of changing the user interface in real time to adapt to the user's state.

[0532] The system for carrying out this invention includes three main components: a server, a terminal, and a user. The user enters an address in English using the terminal. The entered address is converted to Japanese in real time by a computer program. The Google Cloud Translation API is used for this conversion process.

[0533] The device incorporates an emotion analysis engine (Emotion API) that evaluates the user's emotional state based on their input speed, touch pressure, and voice tone. If the system determines that the user is experiencing stress, it adjusts the user interface to be more user-friendly, improving the user experience.

[0534] The server receives the converted address and verifies its accuracy using historical data and geographic information systems (Google Maps API). Once verified, the address is used to determine whether or not a communication line can be provided. This process is automated, and the user's progress is notified to their device based on their emotional state.

[0535] For example, if a user makes a mistake when entering their address when purchasing goods on an international e-commerce site, this system will detect that the user is experiencing tension or stress. Based on this, the system will improve the user interface and provide reassuring guidance to the user.

[0536] An example of a prompt to be input into the generating AI model would be: "Enter an address written in English, convert it to Japanese, and verify its accuracy. Analyze the user's emotions during input and adjust the process if possible." This allows the system to provide a user-friendly environment and achieve the objective of the invention.

[0537] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0538] Step 1:

[0539] The user enters their address in English into the device. The address information is provided to the device as input data. The device sends this address data to an emotion analysis engine (Emotion API) to evaluate the user's emotional state. The engine analyzes input speed, touch pressure, voice tone, etc., to determine whether the user is relaxed or stressed.

[0540] Step 2:

[0541] The device sends address data to the server. The server translates the entered address into Japanese using the Google Cloud Translation API. In this process, the entered English address is translated and output as a Japanese address. Data processing is performed to ensure the accuracy of the translation.

[0542] Step 3:

[0543] The server verifies the accuracy of the converted Japanese address using historical data and geographic information systems (Google Maps API). It uses the converted address data as input and compares it with a map database to determine if the address actually exists. The output is the verified address data.

[0544] Step 4:

[0545] After verifying the accuracy of the address, the server automatically determines whether or not to provide communication lines. Based on the verified address data, it compares it against the provider's criteria to determine whether or not communication services can be provided. As a result, it generates and outputs information indicating whether or not the service is available.

[0546] Step 5:

[0547] Based on the results returned to the device, the user interface is adjusted according to the user's emotional state. If the user is experiencing stress, the device displays friendly messages and guides and changes the user interface. This improves the user experience.

[0548] Step 6:

[0549] Finally, the server notifies the terminal of the address information it has verified and whether or not a communication line can be provided. The notified data is designed to be displayed in an easy-to-understand manner for the user and to prompt them to take the next action.

[0550] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0551] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0552] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0553] [Fourth Embodiment]

[0554] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0555] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0556] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0557] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0558] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0559] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0560] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0561] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0562] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0563] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0564] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0565] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0566] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0567] This invention is implemented as a system that converts English addresses into Japanese addresses, and then automatically determines whether or not to verify the address and provide a communication line. This system consists of three components: a server, a terminal, and a user. The operation of the program in each component and the method of implementing the system are described below.

[0568] First, the user enters an address written in English via their terminal. This input is sent to the server, where processing begins. The server uses an artificial intelligence module to convert the entered English address into Japanese. Because the artificial intelligence module is based on machine learning algorithms, the conversion accuracy is high.

[0569] Next, the server consults historical databases and geographic information systems to verify the converted Japanese address. This confirms that the address is accurate and exists. If the verification is successful, the server uses area information to determine whether a communication line can be provided. If it is determined that provision is possible, the system automates the application process and proceeds quickly.

[0570] As a concrete example, consider a case where a user enters the English address "1600 Amphitheatre Parkway, Mountain View, CA". The terminal sends this information to the server, which translates the address into Japanese as "1600 Amphitheatre Parkway, Mountain View, California, United States". The server then verifies the accuracy of the address, and if service is available, it automatically proceeds with the application process for the line.

[0571] In this way, the present invention automates the entire process of address conversion, subsequent verification, and application processing, thereby improving the efficiency and accuracy of operations.

[0572] The following describes the processing flow.

[0573] Step 1:

[0574] The user enters their address in English using a device. The device formats the address information and sends it to the server.

[0575] Step 2:

[0576] The server stores the received English address in a processing queue. Next, it activates the generated artificial intelligence module and begins the process of converting the English address to Japanese.

[0577] Step 3:

[0578] The server compares the address, converted to Japanese, with past database data. It retrieves the history and existing data of the converted address information from the database and checks if there is any matching information.

[0579] Step 4:

[0580] The server accesses a geographic information system to verify whether the converted Japanese address actually exists. Based on the results from the geographic information system, it determines the accuracy of the address.

[0581] Step 5:

[0582] If the server confirms that the address is correct, it will then contact the area information system to determine whether or not to provide communication lines based on factors other than the address.

[0583] Step 6:

[0584] Based on the verification results, the server will automatically proceed with the application process if it is possible to provide the service. It will generate the necessary documents and procedural information and complete the process.

[0585] Step 7:

[0586] The server compiles the final processing results and sends them to the terminal. The terminal displays the results to the user and prompts them to confirm.

[0587] (Example 1)

[0588] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0589] The process of converting location information into other languages ​​required manual verification and correction by staff, leading to errors and inefficiencies in this process. Furthermore, determining the accuracy of the converted information and the feasibility of providing communication services was time-consuming. Therefore, there is a need to expedite the overall business process and improve accuracy.

[0590] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0591] In this invention, the server includes means for a machine learning module to convert location information written in English into a corresponding language format, means for referring to a record database and a geographic information analysis system to verify the accuracy of the converted location information, and means for automatically determining whether or not to provide communication services based on the verified location information. This automates the entire process from location information conversion to verification and determination of whether or not to provide services, enabling efficient and accurate service provision.

[0592] A "machine learning module" is a component that implements algorithms to automatically perform specific tasks based on input data, and is applied with high accuracy to things like converting addresses and location information.

[0593] A "record database" is a structured collection of information used to systematically store and accumulate past location and address data, and is used for searching and retrieving that data.

[0594] A "geographic information analysis system" is a computer system that represents geographic data in digital format, enabling analysis and visualization on maps, and is used for verifying the accuracy and existence of addresses.

[0595] "Means for automatically determining whether or not communication services can be provided" refers to a system that has the function of instantly determining whether or not communication services can be provided in a specific area based on location information, thereby streamlining the service provision process.

[0596] Modes for carrying out the invention

[0597] The system of the present invention has a configuration mainly consisting of a server, terminal, and user, and converts location information into a multilingual format and automatically determines whether or not communication services can be provided.

[0598] First, the user enters their address in English via their device. This information is sent to the server via the internet. The server then passes the entered address to a machine learning module. This module is equipped with a generative AI model that can convert the English address into Japanese with high accuracy.

[0599] Next, the server compares this converted address information with a record database and a geographic information analysis system to verify the accuracy of the address. This allows the server to confirm that the location information is accurate and real.

[0600] Finally, the server automatically determines whether communication services are available at that address based on verified location information. If necessary, it can automatically initiate the service application process based on available plans and regional information.

[0601] As a concrete example, consider a scenario where a user enters the address "1600 Amphitheatre Parkway, Mountain View, CA" in English. When this information is sent to the server, the server translates it into Japanese as "1600 Amphitheatre Parkway, Mountain View, California, United States," and then verifies its accuracy using a geographic information analysis system. If the server determines that communication services are available, the application process proceeds automatically.

[0602] An example of a prompt for the generating AI model is, "Please convert the following English address to Japanese: 1600 Amphitheatre Parkway, Mountain View, CA." This aims to automate and improve the accuracy of address conversion.

[0603] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0604] Step 1:

[0605] The user uses a terminal to enter an address in English. The entered address data is sent to the server through the terminal's interface. At this point, the input might be, for example, "1600 Amphitheatre Parkway, Mountain View, CA". This transmission prepares the address data for processing on the server side.

[0606] Step 2:

[0607] The server passes the received English address data to a machine learning module equipped with a generation AI model. This module performs natural language processing on the address, converting it from English to Japanese with high accuracy. The input is English address data, and the output is an address in Japanese, such as "1600 Amphitheater Parkway, Mountain View, California, United States." This process forms the foundation for multilingual support in the system.

[0608] Step 3:

[0609] The server uses the converted Japanese address to verify its accuracy. To do this, the server accesses a record database and a geographic information analysis system. The input is the converted address data, and the existence and accuracy of the address are verified by comparing it with the database and GIS. The output is the verified address information, which can then be used to proceed to the next step.

[0610] Step 4:

[0611] The server automatically determines whether communication services can be provided based on verified address information. The server refers to an area information database to check the service availability and corresponding plans for a specific region. The input is the verified address information, and the output is the result of the communication service availability determination. If service is deemed available, the automated application process begins.

[0612] (Application Example 1)

[0613] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0614] In international trade, accurately translating address information provided in English into Japanese presents a challenge in ensuring accurate product inventory checks and prompt purchase procedures. Solving this challenge is crucial for improving the consumer experience and streamlining operations.

[0615] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0616] In this invention, the server includes means for an artificial intelligence module for converting geographical locations written in English to Japanese; means for automatically determining whether a communication route can be provided based on the verified location information; and means for checking inventory information using the converted location information based on user input. This enables the automation of address conversion and inventory checks.

[0617] "Geographical location in English" refers to information about geographical location or address written in English.

[0618] The "artificial intelligence module for converting to Japanese notation" is a set of programs designed to accurately convert geographical location information written in English into Japanese notation.

[0619] A "historical information aggregate" is a data store that aggregates data such as addresses and geographical information that has been accumulated up to the present.

[0620] A "spatial information system" is a computer system that handles geographical information and makes it available for various purposes.

[0621] "Means for automatically determining whether or not a communication path can be provided" refers to the functions or processes of a system that automatically determine the availability of usable communication infrastructure.

[0622] "User input" refers to the action of a user entering some kind of information into a system, or the information itself.

[0623] "Checking inventory information" is the act of investigating and confirming how much of a product or resource is present in a designated location.

[0624] "Automating the user's purchase process" means automating the entire process that consumers go through when purchasing goods, thereby saving them time and effort.

[0625] A "user's information terminal" is an electronic device used by consumers to receive or input information.

[0626] To realize this invention, a system combining multiple hardware and software components is required. It primarily consists of a user terminal, a server, an artificial intelligence module, a database, and a spatial information system.

[0627] Users input their geographical location in English via information devices such as smartphones and tablets. The entered information is sent to a server via the internet. The server uses an artificial intelligence module built with a programming language such as Python to convert the English geographical location into Japanese.

[0628] The converted location information is verified for accuracy by accessing historical data aggregates and spatial information systems using a database system such as PostgreSQL. The verified information is then directly linked to inventory information for products and services, and a determination is also made regarding the availability of communication routes.

[0629] As a concrete example, consider a case where a user enters a geographical location such as "123 Main St, New York, NY." The server translates this information into Japanese as "123 Main Street, New York City," checks the inventory status of warehouses and stores based on that information, and notifies the consumer in real time.

[0630] Examples of prompts that utilize the generative AI model include: "Please enter an English address. Example: '1600 Amphitheatre Parkway, Mountain View, CA'", and "Retrieving the converted Japanese address and related inventory information. Please wait." These prompts allow users to intuitively understand how to use the system.

[0631] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0632] Step 1:

[0633] The user enters their geographical location in English using their personal information terminal. This information is stored on the terminal as electronic data and is ready for use in the next step.

[0634] Step 2:

[0635] The terminal sends the entered geographical location in English to the server. The input here is address information in text format, and once it reaches the server, the next process begins.

[0636] Step 3:

[0637] The server inputs the received English address into an artificial intelligence module, which then processes it to convert it into Japanese. As part of the data processing, a machine learning algorithm is applied to output a highly accurate Japanese address.

[0638] Step 4:

[0639] The server queries the database for the converted Japanese address and verifies its accuracy using historical data aggregates and spatial information systems. The input in this step is the Japanese address, and the output is the verification result.

[0640] Step 5:

[0641] Based on verified Japanese addresses, the server checks the relevant inventory information. In this process, address information is taken as input, and the availability and status of inventory associated with that address are obtained as output.

[0642] Step 6:

[0643] Finally, the server notifies the user's information terminal of the results of the above series of processes. The input is the result data of all processes, and the output is a notification message presented to the user in an easy-to-understand manner.

[0644] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0645] This invention is implemented as a system that converts an English address to Japanese, verifies the accuracy of the address, and then automatically determines whether or not to provide a communication line, while recognizing the user's emotions and providing feedback to the process. This system combines three components: a server, a terminal, and a user, with an emotion engine.

[0646] First, the user uses the device to enter an address written in English. During this process, the device analyzes the user's input data in real time, and the emotion engine recognizes the user's emotional state. The emotion engine estimates the user's emotions by considering multiple parameters such as the user's voice tone, input speed, and touch pressure.

[0647] Once address information is entered, the terminal sends that information to the server. The server uses an artificial intelligence module to convert the English address into Japanese. During this conversion process, information from the emotion engine is fed back, and the interface is dynamically adjusted as needed. For example, if it is estimated that the user is experiencing stress, considerations such as clearly explaining the progress are taken.

[0648] Next, the server uses historical databases and geographic information systems to verify the accuracy of the address and automatically determines whether or not to provide a communication line. Even at this stage, the user's emotional state is reflected in the progress display of the process.

[0649] For example, if a user is temporarily frustrated while entering an unfamiliar address, the emotion engine will detect this and the server will adjust the interface display to make it more user-friendly, thereby reducing the user's stress. In this way, integrating the emotion engine throughout the entire system improves the user experience.

[0650] The system ultimately sends verified address information and the availability of a connection back to the terminal, notifying the user. The emotion engine data can be used to improve the process and further optimize the system.

[0651] The following describes the processing flow.

[0652] Step 1:

[0653] The user enters an address in English using the device. The device monitors the entered information in real time and estimates the user's emotions by detecting voice tone, input speed, and touch pressure through an emotion engine.

[0654] Step 2:

[0655] The device sends the address information entered by the user to the server. Simultaneously, it also sends estimated information about the user's emotions.

[0656] Step 3:

[0657] The server processes the received English address using an artificial intelligence module and converts it to Japanese. During this process, explanations of the conversion process are fed back to the terminal based on the user's emotional state. For example, if the user is feeling anxious, the terminal will display the progress visually in an easy-to-understand manner.

[0658] Step 4:

[0659] The server verifies the accuracy of the address by comparing the Japanese-translated address with historical databases and geographic information systems. While verification is in progress, the terminal displays the status to the user and adjusts notifications according to the user's emotional state.

[0660] Step 5:

[0661] If the server verifies that the address is correct, it queries the area information system to determine whether or not to provide a communication line. This decision is also sent to the terminal appropriately, taking into account the user's sentiment.

[0662] Step 6:

[0663] The server compiles the results of address verification and the determination of whether a communication line can be provided, and sends a final message to the terminal. The terminal displays the results to the user in a way that is appropriate to the user's emotional state.

[0664] Step 7:

[0665] User sentiment data is analyzed to help improve future processes and is used to optimize the system. For example, if users frequently express anxiety, the guidelines for the entire process will be improved.

[0666] (Example 2)

[0667] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0668] In modern society, applying for communication services and registering addresses via the internet are necessary in many situations, but accurate translation and verification of addresses are difficult in multilingual environments. Furthermore, the process can be complex and stressful for users. In addition, there is a lack of technology that allows systems to recognize user emotions and provide a better service experience.

[0669] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0670] In this invention, the server includes means for an information processing device that converts an English address into a Japanese address using natural language processing technology; means for verifying the accuracy of the location after the address conversion using a history database and a location information system; means for automatically determining whether or not to provide a communication network based on the verified location information; and means for recognizing the user's emotional state and adaptively adjusting the progress of the processing. This enables users to register their addresses without stress and to use communication services accurately.

[0671] An "information processing device" refers to a computer system designed to collect, analyze, transform, or process data.

[0672] "Natural language processing technology" refers to technologies that provide computers with the ability to understand, interpret, and generate human language.

[0673] A "historical database" refers to a database system that stores data recorded in the past and allows for searching and analysis.

[0674] A "location information system" refers to a technology or system for acquiring, processing, and providing information about geographical location.

[0675] A "communication network" refers to the infrastructure used to send and receive data between multiple devices and systems.

[0676] "User's emotional state" refers to the emotions and psychological state that a user is experiencing at a particular moment.

[0677] "Adaptively adjusting" refers to a system dynamically changing its behavior and processing in response to the user's needs and state.

[0678] The following procedures and components are used in embodiments for carrying out this invention.

[0679] The user enters address information in English using the terminal. The terminal is equipped with an emotion analysis engine that analyzes the user's input in real time and recognizes their emotional state. The emotion analysis engine provides technology that estimates the user's emotional state by monitoring the user's input speed, pressure on the touchscreen, and tone of voice.

[0680] The terminal then sends the entered address data to the server. The server uses an information processing device to activate a generative AI model and utilizes natural language processing technology to convert the English address into Japanese. During this process, the server receives feedback from the sentiment analysis engine and makes adjustments in real time to improve the user experience.

[0681] Furthermore, the server uses a historical database and a location information system to verify the accuracy of the converted address. Once verification is complete, the server automatically determines whether a communication network is available and compiles the necessary information.

[0682] For example, if the system detects temporary frustration when a user enters an unclear address, it can use that information to display a more visually understandable progress indicator. In this way, the entire system becomes more responsive, taking user emotions into consideration.

[0683] Finally, the server sends the verified address information and communication feasibility results back to the terminal and notifies the user. At this time, sentiment-based messaging is used so that the user understands what the result was.

[0684] An example of a prompt message would be, "Please enter your address in English. The system will analyze the sentiment while converting it to Japanese and determine if a communication line is available." This allows users to understand the system's functions and use it with confidence.

[0685] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0686] Step 1:

[0687] The user enters an address written in English via a terminal. The terminal receives the entered address data and analyzes the user's typing speed, pressure, and tone of voice in real time for sentiment analysis. During this process, the terminal's sentiment analysis engine estimates the user's emotional state. The input is English address data, and the output is data related to the estimated emotional state.

[0688] Step 2:

[0689] The terminal sends acquired address data and emotional state data to the server. The server receives this data using an information processing device. It uses the received English address data as input to activate a generative AI model. Natural language processing technology is used to convert the English address to Japanese. The output is the address data converted to Japanese.

[0690] Step 3:

[0691] The server passes the converted address data to a historical database and a location information system for verification of its accuracy. The historical database compares the data with past data, and the location information verifies the geographical information. The input for this verification process is address data converted to Japanese, and the output is address information whose accuracy has been verified.

[0692] Step 4:

[0693] The server automatically determines whether or not to provide network access based on verified address information. This determination is made using the system's rule engine to check whether the address is within a network service area. The input is verified address information, and the output is the result regarding network access availability.

[0694] Step 5:

[0695] The server sends the final result back to the terminal. The terminal receives this information and notifies the user of the result. At this time, the terminal adjusts the messaging based on the user's emotions detected by the emotion analysis engine. For example, the content and tone of the message will be changed depending on whether positive or negative emotions are detected. The input is the result of whether communication was possible or not and emotion state data, and the output is a notification message to the user.

[0696] (Application Example 2)

[0697] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0698] In international e-commerce, inaccurate information due to address input errors or language conversions can affect the decision on whether or not to provide communication lines, which degrades the user experience. Furthermore, traditional systems do not consider the user's emotional state, leading to stress during the process. These problems need to be solved to improve user satisfaction.

[0699] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0700] In this invention, the server includes means for a computer program to convert an English address to a Japanese address, means for verifying the accuracy of the address after conversion using a past data set and a geographic information system, and means for detecting the user's emotional state and dynamically adjusting the operation screen based on the detected emotion. This enables accurate and efficient address verification and communication line provision decisions, and allows for the provision of a comfortable user experience that takes the user's emotional state into consideration.

[0701] An "address in English" refers to geographical location information written in English.

[0702] "Converting to Japanese notation" refers to the process of translating information written in English into Japanese.

[0703] A "computer program" is a set of algorithms and instructions designed to perform a specific task.

[0704] An "information set" is a collection of data that has been collected and organized in the past.

[0705] A "geographic information system" is a general term for technologies and tools used to collect, manage, and analyze geospatial data.

[0706] "Verifying accuracy" is the act of evaluating whether information is accurate and reliable.

[0707] "Availability of providing communication lines" refers to the criteria used to determine whether data communication services can be provided at a specified geographical location.

[0708] "User emotional state" refers to the psychological and physiological reactions that a user experiences at a particular moment.

[0709] "Dynamically adjusting the user interface" refers to the process of changing the user interface in real time to adapt to the user's state.

[0710] The system for carrying out this invention includes three main components: a server, a terminal, and a user. The user enters an address in English using the terminal. The entered address is converted to Japanese in real time by a computer program. The Google Cloud Translation API is used for this conversion process.

[0711] The device incorporates an emotion analysis engine (Emotion API) that evaluates the user's emotional state based on their input speed, touch pressure, and voice tone. If the system determines that the user is experiencing stress, it adjusts the user interface to be more user-friendly, improving the user experience.

[0712] The server receives the converted address and verifies its accuracy using historical data and geographic information systems (Google Maps API). Once verified, the address is used to determine whether or not a communication line can be provided. This process is automated, and the user's progress is notified to their device based on their emotional state.

[0713] For example, if a user makes a mistake when entering their address when purchasing goods on an international e-commerce site, this system will detect that the user is experiencing tension or stress. Based on this, the system will improve the user interface and provide reassuring guidance to the user.

[0714] An example of a prompt to be input into the generating AI model would be: "Enter an address written in English, convert it to Japanese, and verify its accuracy. Analyze the user's emotions during input and adjust the process if possible." This allows the system to provide a user-friendly environment and achieve the objective of the invention.

[0715] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0716] Step 1:

[0717] The user enters their address in English into the device. The address information is provided to the device as input data. The device sends this address data to an emotion analysis engine (Emotion API) to evaluate the user's emotional state. The engine analyzes input speed, touch pressure, voice tone, etc., to determine whether the user is relaxed or stressed.

[0718] Step 2:

[0719] The device sends address data to the server. The server translates the entered address into Japanese using the Google Cloud Translation API. In this process, the entered English address is translated and output as a Japanese address. Data processing is performed to ensure the accuracy of the translation.

[0720] Step 3:

[0721] The server verifies the accuracy of the converted Japanese address using historical data and geographic information systems (Google Maps API). It uses the converted address data as input and compares it with a map database to determine if the address actually exists. The output is the verified address data.

[0722] Step 4:

[0723] After verifying the accuracy of the address, the server automatically determines whether or not to provide communication lines. Based on the verified address data, it compares it against the provider's criteria to determine whether or not communication services can be provided. As a result, it generates and outputs information indicating whether or not the service is available.

[0724] Step 5:

[0725] Based on the results returned to the device, the user interface is adjusted according to the user's emotional state. If the user is experiencing stress, the device displays friendly messages and guides and changes the user interface. This improves the user experience.

[0726] Step 6:

[0727] Finally, the server notifies the terminal of the address information it has verified and whether or not a communication line can be provided. The notified data is designed to be displayed in an easy-to-understand manner for the user and to prompt them to take the next action.

[0728] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0729] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0730] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0731] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0732] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0733] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0734] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0735] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0736] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0737] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0738] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0739] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0740] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0741] 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.

[0742] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0743] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0744] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0745] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0746] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0747] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0748] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0749] The following is further disclosed regarding the embodiments described above.

[0750] (Claim 1)

[0751] A means equipped with an artificial intelligence module for converting English addresses to Japanese addresses,

[0752] A means of verifying the accuracy of an address after its conversion using historical databases and geographic information systems,

[0753] A means to automatically determine whether or not to provide communication lines based on verified address information,

[0754] A system that includes this.

[0755] (Claim 2)

[0756] The system according to claim 1, which automates the customer application process based on converted address information.

[0757] (Claim 3)

[0758] The system according to claim 1, which notifies the customer's device of the system's processing results.

[0759] "Example 1"

[0760] (Claim 1)

[0761] A means comprising a machine learning module for converting location information written in English into a corresponding language format,

[0762] In order to verify the accuracy of the converted location information, means of referring to a record database and a geographic information analysis system,

[0763] A means for automatically determining whether or not to provide communication services based on verified location information,

[0764] A system that includes this.

[0765] (Claim 2)

[0766] The system according to claim 1, which automatically executes the user's contract procedures based on converted location information.

[0767] (Claim 3)

[0768] The system according to claim 1, which transmits the system's processing results to the user's terminal.

[0769] "Application Example 1"

[0770] (Claim 1)

[0771] A means equipped with an artificial intelligence module for converting geographical locations written in English into Japanese,

[0772] A means for verifying the accuracy of the location based on the converted location information, using past information aggregates and spatial information systems,

[0773] A means to automatically determine whether or not to provide a communication path based on verified location information,

[0774] A means of checking inventory information using converted location information based on user input,

[0775] A system that includes this.

[0776] (Claim 2)

[0777] The system according to claim 1, which automates the user's purchase procedure based on converted location information.

[0778] (Claim 3)

[0779] The system according to claim 1, which notifies the user's information terminal of the system's processing results.

[0780] "Example 2 of combining an emotion engine"

[0781] (Claim 1)

[0782] A means comprising an information processing device for converting an English address into a Japanese address using natural language processing technology,

[0783] A means for verifying the accuracy of the location using a historical database and a location information system after the address has been converted,

[0784] A means to automatically determine whether or not to provide a communication network based on verified location information,

[0785] A means of recognizing the user's emotional state and adaptively adjusting the processing progress,

[0786] A system that includes this.

[0787] (Claim 2)

[0788] The system according to claim 1, which automates the user's procedure process based on converted location information.

[0789] (Claim 3)

[0790] The system according to claim 1, which notifies the user's device of the system's processing results and provides a response according to the emotional state.

[0791] "Application example 2 when combining with an emotional engine"

[0792] (Claim 1)

[0793] A means equipped with a computer program for converting English addresses to Japanese addresses,

[0794] A means of verifying the accuracy of an address after its conversion using historical data sets and geographic information systems,

[0795] A means to automatically determine whether or not to provide communication lines based on the confirmed address information,

[0796] A means for detecting the user's emotional state and dynamically adjusting the operation screen based on the detected emotion,

[0797] A system that includes this.

[0798] (Claim 2)

[0799] The system according to claim 1, which automates the purchase procedure based on converted address information.

[0800] (Claim 3)

[0801] The system according to claim 1, which notifies the user's terminal of the system's processing results. [Explanation of Symbols]

[0802] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means equipped with an artificial intelligence module for converting English addresses to Japanese addresses, A means of verifying the accuracy of an address after its conversion using historical databases and geographic information systems, A means to automatically determine whether or not to provide communication lines based on verified address information, A system that includes this.

2. The system according to claim 1, which automates the customer application process based on converted address information.

3. The system according to claim 1, which notifies the customer's device of the system's processing results.

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