system

Abstract

We provide the system. [Solution] A means by which the user enters keywords related to the country or culture of the country being entertained, A means for generating a search query based on the input information, A means for obtaining relevant information from a database using the aforementioned search query, A means for passing the acquired information to a generative AI and generating text information in natural language format, A means for transmitting the generated text information to the user's terminal and displaying it, 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 method for controlling a persona chatbot, which is 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 character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a 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 an international business environment, it is important to understand and appropriately respond to different cultures and manners. However, it is difficult to easily obtain detailed manner information regarding each country and culture. Further, even if information is obtained, it is difficult to determine whether the information is up-to-date and accurate. For this reason, appropriate responses cannot be made particularly in situations such as hospitality, and there is a risk of missing business opportunities or deteriorating relationships. Therefore, an object is to provide a system that can quickly and accurately acquire different culture and manner information and provide it to users.

Means for Solving the Problems

[0005] The present invention provides a system that includes means for a user to input keywords related to the country or culture of the country being entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for passing the obtained information to a generative AI to generate text information in natural language format, and means for transmitting and displaying the generated text information on the user's terminal. Furthermore, the system includes means for the database to periodically collect and update information on culture and manners from external sources, and the generative AI has a natural language processing function for generating text information in a format that is easy for the user to understand, thereby enabling efficient and accurate collection and provision of cultural and manners information and supporting appropriate responses in international business settings.

[0006] A "user" is someone who uses the system to obtain information about the culture and manners of the person they are entertaining.

[0007] A "recipient of entertainment" is a person or group with whom you interact during business entertainment or business exchanges, and whose culture and customs require careful consideration.

[0008] A "country name" is a name used to identify each country.

[0009] "Culture" is a collection of lifestyles, beliefs, traditions, customs, and other elements possessed by people in a particular country or region.

[0010] "Manners" refer to the etiquette and behavioral norms expected in a particular society or culture.

[0011] A "keyword" is a series of distinctive words or phrases that a user enters into the system to perform an information search.

[0012] "Means" refers to the methods or tools used to achieve a specific objective.

[0013] A "search query" is a formalized search statement generated to retrieve specific information from a database.

[0014] A "database" is an information system that systematically collects and organizes specific information, making it possible to efficiently search and retrieve it.

[0015] "Generative AI" refers to a system that uses artificial intelligence technology to generate natural language text based on input information.

[0016] "Natural language text" refers to information composed of words and sentences that are easily understood by humans.

[0017] A "terminal" is a device (e.g., a computer or smartphone) used by system users to input information and display the acquired information. [Brief explanation of the drawing]

[0018] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] Shows an emotion map to which a plurality of emotions are mapped. [Figure 10] 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 Embodiment 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 Embodiment 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

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0022] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0023] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0024] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0025] 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."

[0026] [First Embodiment]

[0027] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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".

[0039] This invention is a system for quickly and accurately acquiring information on different cultures and manners and providing it to users. The following describes a detailed embodiment of the system of this invention.

[0040] System Overview

[0041] This system allows users to search for information about the country and culture they are being entertained by, and provides them with information to take appropriate action based on that information. Its main components include user terminals, servers, generative AI, and databases.

[0042] Program execution steps

[0043] Information gathering and database updates

[0044] Information gathering (server):

[0045] The server periodically accesses reliable databases and APIs to collect the latest information on culture and manners. For example, it retrieves information from external cultural information websites and databases provided by government agencies. Using APIs enables automated information collection.

[0046] Database storage (server):

[0047] The collected information is analyzed and stored in a database, categorized (e.g., drinking etiquette, dining etiquette). The server replaces old information with new information, keeping the database up-to-date.

[0048] User input and information retrieval

[0049] User input (user):

[0050] Users enter keywords from their device related to the country they are being entertained in or a specific culture. For example, they might enter information such as "drinking etiquette in Korea" or "Islamic eating customs."

[0051] Search query generation (server):

[0052] The server receives user input and generates a search query. For example, it generates a query in the format "Korea AND drinking AND manners" and prepares it for a database search.

[0053] Database search and information retrieval

[0054] Database search (server):

[0055] Using the generated query, the server searches the database for the relevant information. If multiple matching entries exist, the information is sorted based on its relevance.

[0056] Information retrieval (server):

[0057] The information retrieved from the database is temporarily stored and prepared to be passed on to the generative AI.

[0058] Information generation and provision using generative AI

[0059] Information formatting (server):

[0060] The server preprocesses the acquired information and formats it into a form that can be easily used by generative AI. This includes extracting important points and removing redundant parts.

[0061] Natural language text generation (generative AI):

[0062] The formatted information is passed to a generative AI, which generates easily understandable text in natural language format. For example, it might generate specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it."

[0063] Information transmission and display (server and terminal):

[0064] The generated text information is sent from the server to the user's terminal and displayed on the terminal. The user can then take appropriate action based on this information.

[0065] Specific example

[0066] In the case of entertaining clients in South Korea

[0067] 1. User input:

[0068] The user types "Korean hospitality manners" into their device.

[0069] 2. Generate search queries and retrieve information:

[0070] The server generates a query for "Korea AND hospitality AND manners," searches the database, retrieves the relevant information, and passes it to the generation AI.

[0071] 3. Information generation and display:

[0072] The generative AI generates text information such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it," and the server sends and displays this information on the user's device.

[0073] Thus, the present invention makes it possible to quickly obtain information on different cultures and manners and to support appropriate behavior.

[0074] The following describes the processing flow.

[0075] Step 1: Information Gathering

[0076] The server regularly accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. It automatically collects the necessary data using APIs and scraping techniques.

[0077] Step 2: Database Storage

[0078] The server analyzes the collected information, classifies it by category (e.g., drinking etiquette, dining etiquette), and stores it in a database. If there is outdated information, it is updated with the latest information.

[0079] Step 3: User Input

[0080] The user enters keywords related to the country being hosted or its culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[0081] Step 4: Generate search queries

[0082] The server receives user input and generates a search query based on it. For example, it might create a query like "Korea AND drinking AND manners".

[0083] Step 5: Database Search

[0084] The server searches the database using the generated search query. If multiple matching entries are found, they are sorted based on relevance or update date.

[0085] Step 6: Information Acquisition

[0086] The server retrieves the relevant information from the search results and stores it temporarily.

[0087] Step 7: Information Formatting

[0088] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. It extracts important points and removes unnecessary parts.

[0089] Step 8: Generate text in natural language format

[0090] The server passes the formatted information to a generative AI, instructing it to generate easily understandable text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is customary to cover your mouth when drinking alcohol with someone older or of higher status."

[0091] Step 9: Send Information

[0092] The generated text information is sent from the server to the user's terminal.

[0093] Step 10: Information Display

[0094] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information.

[0095] Through these steps, users can quickly and accurately obtain the necessary information about the culture and manners of the person they are entertaining, and take appropriate action.

[0096] (Example 1)

[0097] 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."

[0098] In today's global society, it is essential to quickly and accurately understand different cultures and customs and to act appropriately. However, obtaining detailed information about the manners and customs of different cultural spheres is difficult, and much of the information is scattered across the internet, making it time-consuming and laborious to collect and organize the necessary information. Therefore, there is a need for a system that allows users to efficiently obtain accurate and specific information about particular countries and cultures and to support appropriate behavior.

[0099] 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.

[0100] In this invention, the server includes means for the user to input keywords related to the country or culture to be entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for classifying and analyzing the obtained information and pre-processing the necessary parts, means for passing the pre-processed information to a generative AI to generate text information in natural language format, and means for transmitting and displaying the generated text information on the user's terminal. This enables the user to quickly obtain the latest and most accurate etiquette information regarding a specific country or culture and take appropriate action.

[0101] A "user" is an individual or group that uses the system to search for and obtain information about different countries and cultures.

[0102] A "server" is a computer system that collects, analyzes, organizes, and stores information in a database.

[0103] "Keywords related to the country or culture of the country being entertained" are strings or phrases that the user enters to indicate information they want to ask about a specific country or culture.

[0104] A "search query" is a set of instructions generated to search for relevant information within a database based on keywords entered by the user.

[0105] A "database" is a collection of digital information in which collected information about culture and manners is organized and stored.

[0106] "Generative AI" refers to artificial intelligence systems that generate text in natural language format based on pre-processed data.

[0107] "Natural language text information" refers to information that has been converted into a user-friendly text format by a generative AI.

[0108] A "terminal" is an electronic device (e.g., a PC or smartphone) that a user uses to access a system and input or retrieve information.

[0109] "External sources" refer to publicly available information on the internet and government databases that the system uses to collect information about culture and manners.

[0110] "Natural language processing" refers to artificial intelligence technology that analyzes and generates text data and converts it into a format that is easy for users to understand.

[0111] This invention is a system for quickly and accurately acquiring information on different cultures and manners and providing it to users. The system includes user terminals, a server, a generative AI, and a database as its main components.

[0112] The server has the functions of information gathering, data analysis, database storage, search query generation, information formatting, text generation using generative AI, and information transmission to user terminals. The server periodically collects information from reliable external sources (e.g., cultural information sites on the internet and government agency databases). Web crawler tools (e.g., Scrapy) and API calling tools (e.g., Postman) are used for this information gathering.

[0113] The server analyzes the collected data, categorizes it, and stores it in a database. Database management systems such as MySQL® or PostgreSQL are used for the database. For example, the server uses natural language processing tools (e.g., NLTK or spaCy) to eliminate duplicate and inconsistent information and select only reliable data.

[0114] The user enters keywords related to the country or culture of the country they are entertaining (e.g., "drinking etiquette in Korea") from their PC or smartphone. The entered information is received by the server, and a search query is generated. The generated search query (e.g., "Korea AND drinking AND etiquette") is issued to the database as an SQL statement.

[0115] The server retrieves relevant information from the database, extracts key points, and preprocesses and formats the data by removing unnecessary information. Text cleaning tools (e.g., Regexp, NLTK) are used during this preprocessing stage.

[0116] The formatted information is passed to a generative AI (e.g., OpenAI®, GPT-3®) and generated as natural language text. For example, specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill the glass if there is still alcohol left," is generated.

[0117] The generated text information is sent from the server to the user's terminal and displayed on the terminal's screen. For example, the user can view the displayed information through a web browser and take appropriate action based on it.

[0118] As a concrete example, if a user enters "Korean hospitality etiquette" into their device, the server generates a search query "Korea AND hospitality AND etiquette" and searches the database. It then retrieves the relevant information and passes it to a generative AI to generate text such as "In Korea, when drinking alcohol with superiors, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol remaining," and displays this text on the user's device.

[0119] By implementing this invention, users can quickly obtain the latest and most accurate information about different cultures and manners, and take appropriate action based on that information.

[0120] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0121] Step 1: User Input

[0122] The user enters keywords related to the country or culture they are being entertained from their device. Specifically, the user accesses the system's application or website using their PC or smartphone and enters a specific prompt, such as "drinking etiquette in Korea," into a text box. Based on the input data, the user's query is generated.

[0123] Step 2: Generate search queries

[0124] The server receives user input and generates a search query based on that input. For example, if a user enters "drinking etiquette in Korea," the server converts this input data into a search query in the format "Korea AND drinking AND etiquette." This query is used to search for relevant information in the database.

[0125] Step 3: Database Search

[0126] The server uses the generated search query to retrieve the relevant information from the database. The server issues SQL statements to the database management system (e.g., MySQL or PostgreSQL) to extract the relevant information. For example, it might execute a query for "Korea AND drinking AND manners" to retrieve the relevant entries. The retrieved data would include specific examples and advice regarding drinking manners in Korea.

[0127] Step 4: Data Classification and Analysis

[0128] The server classifies and analyzes the data obtained as search results. This includes extracting key points and removing redundant parts. The server uses natural language processing tools (e.g., NLTK and spaCy) to analyze the content of the data and reconstruct it as needed. For example, it might divide the information into categories such as "drinking etiquette in casual relationships" and "drinking etiquette in business settings."

[0129] Step 5: Formatting Information

[0130] The analyzed information is preprocessed before being passed to the generative AI. The server uses text cleaning tools (e.g., Regexp, NLTK) to organize the data into a format that is easy for the generative AI to use. This includes standardizing the format and removing unnecessary symbols. The preprocessed data includes specific points such as, "In Korea, it is polite to cover your mouth when drinking alcohol with someone of higher status."

[0131] Step 6: Text generation using generative AI

[0132] The server passes the pre-processed data to a generative AI model (e.g., OpenAI GPT-3) to generate natural language text. The generative AI then uses the received data to generate user-friendly text. For example, it might generate text such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol remaining."

[0133] Step 7: Information Submission and Display

[0134] The generated text information is sent from the server to the user's device. The server sends the generated text to the user's device via an HTTP request (e.g., a RESTful API). The user's device displays the received information on its screen. For example, the generated specific etiquette information is displayed in an easy-to-read format on the user's web browser. The user can then take appropriate action based on this information.

[0135] This process allows users to quickly obtain the latest and most accurate information about different cultures and customs, and to take appropriate action based on that information.

[0136] (Application Example 1)

[0137] 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."

[0138] Providing appropriate service to customers from diverse cultural backgrounds is a crucial challenge for virtual stores. However, a lack of knowledge about the culture and customs of each region can make customer service difficult. Therefore, there is a need for technology to quickly and accurately acquire information on the culture and customs of each country or region and to provide appropriate service.

[0139] 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.

[0140] In this invention, the server includes means for the user to input keywords related to the region or culture to be served; means for generating a search query based on the input information; means for obtaining relevant information from a database using the search query; means for passing the obtained information to a generative artificial intelligence to generate text information in natural language format; means for transmitting and displaying the generated text information on the user's electronic device; and means for providing appropriate methods for responding to customers with different cultural backgrounds. This makes it possible to provide customer service that takes cultural backgrounds into consideration, even in virtual stores.

[0141] A "user" refers to an individual or legal entity that uses this system to search for information and obtain information related to culture and manners.

[0142] "Target of interaction" refers to people from other countries or cultures that the user must interact with, or the culture to which those people belong.

[0143] "Region" refers to a geographical area where a particular culture or set of manners exists.

[0144] "Culture" refers to a collection of customs, beliefs, and behavioral norms within a particular region or society.

[0145] A "keyword" refers to an important phrase that a user enters into the system to search for specific information.

[0146] A "search query" refers to a set of instructions generated from keywords entered by the user to search for information within a database.

[0147] A "database" refers to a collection of information that stores and organizes information about culture and manners in a searchable format.

[0148] "Generative artificial intelligence" refers to artificial intelligence technology that generates text information in natural language format based on acquired information.

[0149] "Natural language text information" refers to information expressed in everyday language that has been generated to be easily understood by users.

[0150] "Electronic devices" refer to devices used by users, such as computers, smartphones, and tablets.

[0151] "Different cultural backgrounds" refers to the different customs and behavioral norms held by the people who interact with the user.

[0152] "Appropriate customer service" refers to correct customer service and communication methods that are based on the customer's cultural background.

[0153] This invention is a system for providing appropriate responses to customers with diverse cultural backgrounds. The system aims to generate and provide appropriate cultural and etiquette information based on user input.

[0154] System Configuration

[0155] The system consists of the following elements:

[0156] 1. User terminal:

[0157] A device used by users to input information and view generated text information. Specifically, this includes electronic devices such as smartphones, computers, and tablets.

[0158] 2. Server:

[0159] It plays a central role in database searching and generative artificial intelligence processing.

[0160] 3. Database:

[0161] This section contains information on culture and manners. The information is regularly collected from external sources and updated to the latest status.

[0162] 4. Generative Artificial Intelligence:

[0163] Based on the information provided by the server, natural language text information is generated.

[0164] Explanation of the processing procedure

[0165] Information gathering and database updates

[0166] The server periodically accesses reliable external databases and APIs to collect the latest information on culture and manners. This includes gathering information from external cultural information websites and databases provided by government agencies. Using APIs enables automated information collection. The collected information is analyzed, categorized (e.g., drinking etiquette, dining etiquette), and stored in the latest database.

[0167] User input and information retrieval

[0168] The user enters keywords related to the region or culture they are serving from their terminal. For example, they might enter information such as "customer service in China." The server receives the user's input and generates a search query. For example, it might generate a query in the format of "China AND customer service AND manners" and prepares it for a database search.

[0169] Database search and information retrieval

[0170] Using the generated query, the server searches the database for the relevant information. If multiple matching entries exist, the information is sorted based on its relevance. The information retrieved from the database is temporarily stored and then passed to the generative artificial intelligence.

[0171] Information generation and provision using generative artificial intelligence.

[0172] The server preprocesses the acquired information and formats it into a form that can be easily used by generative artificial intelligence. This includes extracting important points and removing redundant parts. The formatted information is then passed to the generative AI and generated as easily understandable text in natural language format. For example, specific advice such as, "In China, it is polite to bow when greeting customers. Also, it is standard practice to hand over goods with both hands," may be generated. The generated text information is sent from the server to the user's terminal and displayed on the terminal.

[0173] Specific example

[0174] For customer service in China:

[0175] 1. User input:

[0176] The user enters "Customer support in China" into their terminal.

[0177] 2. Generate search queries and retrieve information:

[0178] The server generates a query for "China AND customer service AND manners," searches the database, retrieves the relevant information, and passes it to the generative artificial intelligence.

[0179] 3. Information generation and display:

[0180] The generative artificial intelligence generates the text information, "In China, it is customary to bow when greeting customers. Also, it is standard practice to hand over goods with both hands," and the server sends and displays this text on the user's terminal.

[0181] Example of a prompt:

[0182] "Please tell me how to handle customer service in China."

[0183] This invention enables customer service that takes cultural background into account, even in virtual stores, thereby improving customer satisfaction.

[0184] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0185] Step 1: User Input

[0186] Specific operation: The user enters keywords related to the region or culture being served from their device (smartphone, computer, tablet, etc.). For example, they might enter "customer service in China."

[0187] Input: Keywords related to the region or culture of the target area.

[0188] Output: User input data

[0189] Step 2: Generate search queries

[0190] Specific operation: The server receives user input and generates a search query based on it. For example, it generates a query in the format "China AND customer service AND manners".

[0191] Input: User input data

[0192] Output: Generated search query

[0193] Step 3: Database Search

[0194] Specific operation: The server uses the generated search query to retrieve relevant information from the database. It retrieves multiple relevant pieces of information and sorts them based on their relevance.

[0195] Input: Generated search query

[0196] Output: List of related information

[0197] Step 4: Information Preprocessing

[0198] Specific operation: The server preprocesses the acquired information and formats it into a form that can be easily used by generative artificial intelligence. It extracts important points and removes redundant parts.

[0199] Input: List of related information

[0200] Output: Formatted information

[0201] Step 5: Generate text information

[0202] Specific operation: The server passes formatted information to a generative artificial intelligence, which then generates text information in natural language format. For example, it might generate text information such as, "In China, it is customary to bow when greeting customers. Also, it is standard practice to hand over goods with both hands."

[0203] Input: Formatted information

[0204] Output: Generated natural language text information

[0205] Step 6: Send and display text information

[0206] Specific operation: The server sends the generated text information to the user's terminal. The terminal displays the received text information on its screen.

[0207] Input: Generated natural language text information

[0208] Output: Display of text information on the user terminal

[0209] This series of steps enables users to provide customer service that takes cultural backgrounds into account, even in virtual stores, thereby improving customer satisfaction.

[0210] 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.

[0211] This invention provides a system that quickly and accurately acquires information on different cultures and manners and provides it to users. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it achieves optimal information display for the user. The following describes a detailed embodiment of the system of this invention.

[0212] System Overview

[0213] This system includes a user terminal, a server, a generative AI, a database, and an emotion engine. When the user enters the name of the country being hosted or related cultural keywords from the terminal, the system automatically generates and provides appropriate information to the user. Furthermore, the emotion engine recognizes the user's emotions and adjusts the display format and content of the information accordingly.

[0214] Program execution steps

[0215] Information gathering and database updates

[0216] Information gathering (server):

[0217] The server periodically accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. The information obtained is collected via APIs.

[0218] Database storage (server):

[0219] The collected information is analyzed by the server, classified into categories (e.g., drinking etiquette, dining etiquette), and stored in a database. The server updates old information with new information, keeping the database constantly up-to-date.

[0220] User input and information retrieval

[0221] User input (user):

[0222] Users enter keywords related to the country they are being entertained or a specific culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[0223] Search query generation (server):

[0224] The server receives user input and generates a search query based on it. For example, it might create a query like "Korea AND drinking AND manners".

[0225] Database search and information retrieval

[0226] Database search (server):

[0227] The server uses the generated query to search the database. If multiple matching entries are found, they are sorted based on relevance or update date.

[0228] Information retrieval (server):

[0229] The server retrieves the relevant information from the search results and stores it temporarily.

[0230] Information generation and provision using generative AI

[0231] Information formatting (server):

[0232] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. This includes extracting important points and removing redundant parts.

[0233] Natural language text generation (generative AI):

[0234] The formatted information is passed to a generative AI, which generates easily understandable text in natural language format. For example, it might generate specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it."

[0235] Emotion recognition and display adjustment using an emotion engine.

[0236] Emotion recognition (emotion engine):

[0237] When a user inputs data, the device's emotion engine recognizes the user's emotions by analyzing their facial expressions, voice tone, and text input. For example, if it determines that the user is stressed, it provides that information to the server.

[0238] Display adjustment (server):

[0239] Based on the results of the emotion engine, the server adjusts the display format and content of the text information generated by the generative AI. For example, if the user is feeling stressed, it adds encouraging or comforting messages.

[0240] Information transmission and display

[0241] Information transmission (server):

[0242] The generated text information is sent from the server to the user's terminal.

[0243] Information display (terminal):

[0244] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information.

[0245] Specific example

[0246] In the case of entertaining clients in South Korea

[0247] 1. User input:

[0248] The user types "Korean hospitality manners" into their device.

[0249] 2. Generate search queries and retrieve information:

[0250] The server generates a query for "Korea AND hospitality AND manners," searches the database, retrieves the relevant information, and passes it to the generation AI.

[0251] 3. Information generation and display adjustment:

[0252] The generative AI generates text information such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill the glass if there is still alcohol left." If the emotion engine determines that the user is feeling stressed, the server adds an encouraging message such as, "Please relax and enjoy yourself."

[0253] 4. Information transmission and display:

[0254] The server sends the final information to the user's terminal, which then displays it to the user.

[0255] Thus, the present invention provides optimal support to users by quickly and accurately acquiring information on different cultures and manners, and further by displaying information appropriately according to the user's emotions.

[0256] The following describes the processing flow.

[0257] Step 1: Information Gathering

[0258] The server periodically accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. This includes automated data collection via APIs.

[0259] Step 2: Database Storage

[0260] The server analyzes the collected information, classifies it by category (e.g., drinking etiquette, dining etiquette), and stores it in a database. It updates outdated information with newer information as needed.

[0261] Step 3: User Input

[0262] Users enter keywords related to the country they are being entertained or a specific culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[0263] Step 4: Generate search queries

[0264] The server receives user input and generates a search query based on that information. For example, it might generate a query in the format "Korea AND drinking AND manners".

[0265] Step 5: Database Search

[0266] The server searches the database using the generated search query. If multiple matching entries are found, they are sorted based on relevance or update date.

[0267] Step 6: Information Acquisition

[0268] The server retrieves the relevant information from the search results and stores it temporarily.

[0269] Step 7: Information Formatting

[0270] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. This process includes extracting important points and removing redundant parts.

[0271] Step 8: Generate text in natural language format

[0272] The server passes the formatted information to a generative AI, instructing it to generate easily understandable text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is customary to cover your mouth when drinking alcohol with someone older or of higher status."

[0273] Step 9: Emotion Recognition

[0274] When a user inputs data, the device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if it determines that the user is stressed, it provides that information to the server.

[0275] Step 10: Display Adjustment

[0276] The server adjusts the display format and content of the generated text information based on the user's emotional information obtained from the emotion engine. For example, if the user is feeling stressed, it adds an encouraging message such as, "Please relax and enjoy yourself."

[0277] Step 11: Send Information

[0278] The generated text information is sent from the server to the user's terminal.

[0279] Step 12: Information Display

[0280] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information. It also changes the display format to one that is relaxing for the user.

[0281] Through this process, users can quickly and accurately obtain necessary information about the culture and manners of the person they are entertaining, and receive appropriate support tailored to their emotions.

[0282] (Example 2)

[0283] Next, Example 2 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart device 14 is referred to as a "terminal".

[0284] It is difficult to quickly and accurately obtain information on different cultures and manners and provide it to users. Also, it is an issue to display information considering the emotions of users. As a result, the quality of the user experience may not improve, and there is a risk that the satisfaction with the way of receiving information will decrease.

[0285] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for a user to input keywords related to the name of the country or culture of the hospitality target, means for generating a search query based on the input information, means for obtaining corresponding information from a database using the search query, means for passing the obtained information to a generative AI to generate text information in a natural language form, means for transmitting and displaying the generated text information to the user's terminal, an emotion recognition means for recognizing the emotions of the user, and means for adjusting the display format and content of the text information based on the emotion recognition means. Thereby, it becomes possible to quickly and accurately obtain information on different cultures and manners, and further to display appropriate information according to the emotions of the user.

[0286] The "user" refers to a person who uses an information system.

[0287] The "keywords related to the name of the country or culture of the hospitality target" refer to specific words or phrases related to a country name or culture that a user inputs for hospitality or cultural understanding.

[0288] The "search query" refers to a character string or instruction for specifying information in a database, which is generated based on a user's input.

[0289] The "database" refers to an aggregate of information in which information on cultures and manners is structured and stored.

[0290] "Generative AI" refers to artificial intelligence systems that generate text information in natural language format based on input information.

[0291] "Natural language text information" refers to text information written in a language that is easy for humans to understand, output by generative AI.

[0292] "User's device" refers to an electronic device (e.g., a smartphone or computer) used by a user to input information and view outputted information.

[0293] "Emotion recognition means" refers to technologies that analyze and identify emotions from a user's facial expressions, voice tone, text input, etc.

[0294] "Means for adjusting display format and content" refers to a mechanism for changing the format and content of displayed information according to the user's emotions.

[0295] "External sources" refer to external sources of information that provide information on culture and manners (e.g., cultural information websites or government databases).

[0296] "Analysis" refers to the process of organizing collected information and analyzing it in detail for understanding and classification.

[0297] "Customization" refers to applying and adjusting information and services according to the user's specific needs and preferences.

[0298] This invention is a system that quickly and accurately acquires information on different cultures and manners and provides it to the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it achieves information display that is optimal for the user. The details of embodiments of this invention are described below.

[0299] System Configuration

[0300] This system includes user terminals, servers, generative AI, databases, and emotion engines.

[0301] 1. User terminal: An electronic device for users to input information and view results. Specific examples include smartphones and computers.

[0302] 2. Server: A central computer that manages the entire system and collects and processes information.

[0303] 3. Generation AI: An artificial intelligence system that generates text information in natural language form based on input information. For example, natural language generation models such as GPT-3 are applicable.

[0304] 4. Database: A collection of information where information related to culture and manners is stored.

[0305] 5. Emotion engine: A technology for recognizing emotions from a user's expression, voice tone, and text input.

[0306] System operation

[0307] 1. Information collection (server):

[0308] The server regularly accesses external sources (e.g., cultural information websites and government agency databases) and obtains the latest information related to culture and manners via an API. The obtained information is analyzed, classified by category, and stored in the database.

[0309] 2. User input (user):

[0310] The user inputs keywords related to the host country or a specific culture from the terminal. For example, input "Korean hospitality manners".

[0311] 3. Search query generation (server):

[0312] The server generates search queries based on user input. For example, it might create a query like "Korea AND hospitality AND manners".

[0313] 4. Database search and information retrieval (server):

[0314] The server uses the generated query to search the database and retrieve the relevant information. The search results are sorted based on relevance and update date and temporarily stored.

[0315] 5. Information formatting and generation (server):

[0316] The acquired information is preprocessed to extract important information and remove redundant parts. The formatted information is then passed to a generative AI, which generates text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is common to cover your mouth when drinking alcohol with someone older or of higher status. If there is still alcohol left in the glass, do not refill it."

[0317] 6. Emotion recognition and display adjustment (emotion engine and server):

[0318] When a user inputs data, the device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if the system determines that the user is stressed, this information is sent to the server, which then adjusts the display format and content of the generated text information. For instance, it might add an encouraging message such as, "Please relax and enjoy yourself."

[0319] 7. Information transmission and display (server and terminal):

[0320] The server sends the final text information to the user's terminal, which then displays it to the user in a visually easy-to-understand format. For example, important information can be highlighted with bold text or color.

[0321] Specific example

[0322] In the case of entertaining clients in South Korea

[0323] 1. User input (User):

[0324] The user types "Korean hospitality manners" into their device.

[0325] 2. Search query generation (server):

[0326] The server generates a query for "Korea AND hospitality AND manners," searches the database, and retrieves the relevant information.

[0327] 3. Information generation and display adjustment (server and sentiment engine):

[0328] The generative AI generates text information such as, "In Korea, it is common to cover your mouth when drinking alcohol with someone older or of higher status. Also, please relax and enjoy yourself." If the emotion engine determines that the user is feeling stressed, it adds an encouraging message.

[0329] 4. Information transmission and display (server and terminal):

[0330] The server sends the final information to the user's terminal, which then displays it to the user.

[0331] By combining these steps, this invention enables the rapid and accurate acquisition of information on different cultures and manners, and further realizes the display of information appropriately according to the user's emotions.

[0332] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0333] Step 1: Information Gathering

[0334] The server periodically accesses external sources (e.g., cultural information websites or government databases) and retrieves the latest information on culture and manners via APIs. It then analyzes the retrieved information and categorizes it (e.g., drinking etiquette, dining etiquette). The input is information collected from external sources, and the output is the storage of the categorized information in a database.

[0335] Step 2: Database Storage

[0336] The server stores the analyzed information in a database, categorized by type. The database is kept up-to-date by deleting old information and adding new information. The input is the analyzed information, and the output is the updated database.

[0337] Step 3: User Input

[0338] The user enters keywords related to the country or culture being entertained from their terminal. For example, they might enter "Korean hospitality etiquette." The input is a keyword specified by the user, and the output is the transmission of that keyword to the server.

[0339] Step 4: Generate search queries

[0340] The server generates a search query based on user input. For example, it might create a query like "Korea AND hospitality AND manners". The input is the user's keywords, and the output is the generated search query.

[0341] Step 5: Database Search

[0342] The server uses the generated query to search the database for the relevant information. If there are multiple search results, they are sorted based on relevance or update date. The input is the generated search query, and the output is the sorted search results.

[0343] Step 6: Information Acquisition

[0344] The server retrieves relevant information from the search results and stores it temporarily. For example, information such as "In Korea, when drinking alcohol with someone of higher status, it is customary to cover your mouth." The input is the sorted search results, and the output is the temporarily stored information.

[0345] Step 7: Information Formatting

[0346] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. Specifically, it extracts important information and removes redundant parts. The input is the acquired information, and the output is the formatted information.

[0347] Step 8: Generate text in natural language format

[0348] The formatted information is passed to a generative AI, which generates it as text in natural language format. For example, it might generate advice such as, "In Korea, when drinking alcohol with someone older or of higher status, it is necessary to cover your mouth. Do not refill the glass if there is still alcohol left." The input is formatted information, and the output is text in natural language format.

[0349] Step 9: Emotion Recognition

[0350] The device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if it determines that the user is stressed, that information is sent to the server. The input is the user's emotion data, and the output is the transmission of emotion information to the server.

[0351] Step 10: Display Adjustment

[0352] The server adjusts the display format and content of the generated text information based on the results of the emotion engine. For example, if the user is feeling stressed, the server adds an encouraging message such as "Relax and enjoy yourself." The input is the analysis result of the emotion engine, and the output is the adjusted text information.

[0353] Step 11: Send Information

[0354] The server sends the final text information to the user's terminal. The input is the edited text information, and the output is the transmission of information to the user's terminal.

[0355] Step 12: Information Display

[0356] The terminal displays the received information to the user in a visually easy-to-understand format. For example, important information is highlighted with bold text or color. Input is text information sent from the server, and output is the information displayed for the user to view.

[0357] (Application Example 2)

[0358] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0359] A system that provides timely and accurate information on culture and manners essential when visiting different regions and countries is extremely important. However, conventional systems have not taken into account the user's emotional state when providing information. As a result, there was a challenge in that it was difficult for users to easily understand and receive appropriate cultural information without feeling confused or stressed.

[0360] 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. In this invention, the server includes means for the user to input keywords related to the name of the country or culture to be entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for passing the obtained information to a generative AI to generate text information in natural language format, means for transmitting the generated text information to a user terminal and displaying it, means for analyzing the user's emotions, and means for adjusting the generated text information based on the analyzed emotion information. This makes it possible to provide cultural customs of the region or country the user is visiting in real time and to provide information that takes into account the user's emotional state.

[0361] A "user terminal" is an electronic device used by a user to directly operate or receive information.

[0362] A "server" is a computing system used for collecting, analyzing, storing, and providing information.

[0363] "Generative AI" is an artificial intelligence technology that generates text information in natural language format based on input data.

[0364] "Natural language text information" refers to written information provided in a format that is easy for users to understand.

[0365] "Means of analyzing emotions" refers to a system that analyzes the user's facial expressions, voice, or text input to determine their emotional state.

[0366] A "database" is a collection of information used to store and manage acquired information about culture and manners.

[0367] A "search query" is a set of search criteria used to retrieve specific information from a database.

[0368] This invention relates to a navigation system for autonomous vehicles that appropriately provides users with information on the culture and manners related to their destination, and further analyzes the user's emotions to adjust the information accordingly. This system includes a user terminal, a server, a generative AI, a database, and an emotion engine.

[0369] Hardware and software configuration

[0370] The user terminal is a device integrated into the navigation system of an autonomous vehicle, including a display, speakers, cameras, and microphones. The server functions as a central processing unit, collecting, analyzing, storing, and providing information. The generative AI has natural language processing capabilities and generates user-friendly text information based on data obtained from the database. The emotion engine analyzes the user's facial expressions and voice to determine their emotional state.

[0371] Data processing and data calculation

[0372] The server periodically collects the latest information on culture and manners from external sources and stores it in a database. This information is organized by category and easily searchable using search queries. When a user enters a destination into the navigation system, the server generates a search query based on this information and extracts relevant cultural and manners information. The extracted information is converted into natural language text by a generative AI. During this process, redundant parts are removed, and only the points important to the user are extracted. Finally, an emotion engine analyzes the user's facial expressions and voice input and adjusts the text information according to their emotions. For example, if the user is feeling stressed, a message encouraging relaxation will be added.

[0373] Specific example

[0374] For example, if a user enters "Japan, Tokyo, Asakusa" as their destination into the navigation system, the server generates a search query such as "Asakusa AND Culture AND Manners" and retrieves relevant information from the database. The generative AI generates specific text information such as, "In Asakusa, it is customary to remove your shoes before entering temples." If the emotion engine determines that the user is feeling stressed, it adds a message such as, "Please relax and enjoy yourself." The adjusted information is then presented to the user through the navigation system's display and speakers.

[0375] Example of a prompt

[0376] "Please provide information about culture and manners in Japan, Tokyo, and Asakusa. If users are confused, please add helpful explanations."

[0377] Thus, the present invention can provide optimal support to the user in a navigation system for an autonomous vehicle. This allows the user to confidently adapt to the culture and customs of their destination.

[0378] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0379] Step 1:

[0380] The user enters a destination into the navigation system. The user inputs information such as "Japan, Tokyo, Asakusa," and the terminal receives this information. This information becomes the basic data for subsequent processing.

[0381] Step 2:

[0382] The server generates a search query based on the destination information it receives. The entered destination information, "Japan, Tokyo, Asakusa," is converted into a search query such as "Asakusa AND Culture AND Manners." This query then serves as the input for subsequent data exploration.

[0383] Step 3:

[0384] The server searches the database using the generated search query. The database contains information about the culture and manners of each region and country. Based on the search query, it extracts relevant information. For example, it might retrieve information such as "In Asakusa, you take off your shoes before entering a temple."

[0385] Step 4:

[0386] The server passes the acquired information to a generative AI, which generates text information in natural language format. The generative AI then uses this information to generate easy-to-understand sentences. In this case, specific information such as "In Asakusa, it is customary to remove your shoes before entering a temple" is generated.

[0387] Step 5:

[0388] The device's camera and microphone are used to analyze the user's emotions. The device uses an emotion engine to analyze the user's facial expressions and voice to determine whether the user is experiencing stress. This analysis result becomes adjustment data for subsequent processing.

[0389] Step 6:

[0390] The server adjusts the text information generated based on the analyzed emotional data. For example, if the user is feeling stressed, it might add a message such as, "Please relax and enjoy yourself." This ensures that information is generated that is appropriate to the user's emotional state.

[0391] Step 7:

[0392] The server then sends the final generated text information to the terminal. The terminal receives this information and presents it to the user through the navigation display or voice assistant. For example, the navigation system's display might show, "In Asakusa, it is customary to remove your shoes before entering temples. Please relax and enjoy your visit."

[0393] The above outlines the specific processing steps of the system program that implements the application example.

[0394] 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.

[0395] 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.

[0396] 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.

[0397] [Second Embodiment]

[0398] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0399] 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.

[0400] 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).

[0401] 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.

[0402] 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.

[0403] 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).

[0404] 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.

[0405] 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.

[0406] 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.

[0407] 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.

[0408] 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.

[0409] 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".

[0410] This invention is a system for quickly and accurately acquiring information on different cultures and manners and providing it to users. The following describes a detailed embodiment of the system of this invention.

[0411] System Overview

[0412] This system allows users to search for information about the country and culture they are being entertained by, and provides them with information to take appropriate action based on that information. Its main components include user terminals, servers, generative AI, and databases.

[0413] Program execution steps

[0414] Information gathering and database updates

[0415] Information gathering (server):

[0416] The server periodically accesses reliable databases and APIs to collect the latest information on culture and manners. For example, it retrieves information from external cultural information websites and databases provided by government agencies. Using APIs enables automated information collection.

[0417] Database storage (server):

[0418] The collected information is analyzed and stored in a database, categorized (e.g., drinking etiquette, dining etiquette). The server replaces old information with new information, keeping the database up-to-date.

[0419] User input and information retrieval

[0420] User input (user):

[0421] Users enter keywords from their device related to the country they are being entertained in or a specific culture. For example, they might enter information such as "drinking etiquette in Korea" or "Islamic eating customs."

[0422] Search query generation (server):

[0423] The server receives user input and generates a search query. For example, it generates a query in the format "Korea AND drinking AND manners" and prepares it for a database search.

[0424] Database search and information retrieval

[0425] Database search (server):

[0426] Using the generated query, the server searches the database for the relevant information. If multiple matching entries exist, the information is sorted based on its relevance.

[0427] Information retrieval (server):

[0428] The information retrieved from the database is temporarily stored and prepared to be passed on to the generative AI.

[0429] Information generation and provision using generative AI

[0430] Information formatting (server):

[0431] The server preprocesses the acquired information and formats it into a form that can be easily used by generative AI. This includes extracting important points and removing redundant parts.

[0432] Natural language text generation (generative AI):

[0433] The formatted information is passed to a generative AI, which generates easily understandable text in natural language format. For example, it might generate specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it."

[0434] Information transmission and display (server and terminal):

[0435] The generated text information is sent from the server to the user's terminal and displayed on the terminal. The user can then take appropriate action based on this information.

[0436] Specific example

[0437] In the case of entertaining clients in South Korea

[0438] 1. User input:

[0439] The user types "Korean hospitality manners" into their device.

[0440] 2. Generate search queries and retrieve information:

[0441] The server generates a query for "Korea AND hospitality AND manners," searches the database, retrieves the relevant information, and passes it to the generation AI.

[0442] 3. Information generation and display:

[0443] The generative AI generates text information such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it," and the server sends and displays this information on the user's device.

[0444] Thus, the present invention makes it possible to quickly obtain information on different cultures and manners and to support appropriate behavior.

[0445] The following describes the processing flow.

[0446] Step 1: Information Gathering

[0447] The server regularly accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. It automatically collects the necessary data using APIs and scraping techniques.

[0448] Step 2: Database Storage

[0449] The server analyzes the collected information, classifies it by category (e.g., drinking etiquette, dining etiquette), and stores it in a database. If there is outdated information, it is updated with the latest information.

[0450] Step 3: User Input

[0451] The user enters keywords related to the country being hosted or its culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[0452] Step 4: Generate search queries

[0453] The server receives user input and generates a search query based on it. For example, it might create a query like "Korea AND drinking AND manners".

[0454] Step 5: Database Search

[0455] The server searches the database using the generated search query. If multiple matching entries are found, they are sorted based on relevance or update date.

[0456] Step 6: Information Acquisition

[0457] The server retrieves the relevant information from the search results and stores it temporarily.

[0458] Step 7: Information Formatting

[0459] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. It extracts important points and removes unnecessary parts.

[0460] Step 8: Generate text in natural language format

[0461] The server passes the formatted information to a generative AI, instructing it to generate easily understandable text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is customary to cover your mouth when drinking alcohol with someone older or of higher status."

[0462] Step 9: Send Information

[0463] The generated text information is sent from the server to the user's terminal.

[0464] Step 10: Information Display

[0465] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information.

[0466] Through these steps, users can quickly and accurately obtain the necessary information about the culture and manners of the person they are entertaining, and take appropriate action.

[0467] (Example 1)

[0468] 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".

[0469] In today's global society, it is essential to quickly and accurately understand different cultures and customs and to act appropriately. However, obtaining detailed information about the manners and customs of different cultural spheres is difficult, and much of the information is scattered across the internet, making it time-consuming and laborious to collect and organize the necessary information. Therefore, there is a need for a system that allows users to efficiently obtain accurate and specific information about particular countries and cultures and to support appropriate behavior.

[0470] 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.

[0471] In this invention, the server includes means for the user to input keywords related to the country or culture to be entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for classifying and analyzing the obtained information and pre-processing the necessary parts, means for passing the pre-processed information to a generative AI to generate text information in natural language format, and means for transmitting and displaying the generated text information on the user's terminal. This enables the user to quickly obtain the latest and most accurate etiquette information regarding a specific country or culture and take appropriate action.

[0472] A "user" is an individual or group that uses the system to search for and obtain information about different countries and cultures.

[0473] A "server" is a computer system that collects, analyzes, organizes, and stores information in a database.

[0474] "Keywords related to the country or culture of the country being entertained" are strings or phrases that the user enters to indicate information they want to ask about a specific country or culture.

[0475] A "search query" is a set of instructions generated to search for relevant information within a database based on keywords entered by the user.

[0476] A "database" is a collection of digital information in which collected information about culture and manners is organized and stored.

[0477] "Generative AI" refers to artificial intelligence systems that generate text in natural language format based on pre-processed data.

[0478] "Natural language text information" refers to information that has been converted into a user-friendly text format by a generative AI.

[0479] A "terminal" is an electronic device (e.g., a PC or smartphone) that a user uses to access a system and input or retrieve information.

[0480] "External sources" refer to publicly available information on the internet and government databases that the system uses to collect information about culture and manners.

[0481] "Natural language processing" refers to artificial intelligence technology that analyzes and generates text data and converts it into a format that is easy for users to understand.

[0482] This invention is a system for quickly and accurately acquiring information on different cultures and manners and providing it to users. The system includes user terminals, a server, a generative AI, and a database as its main components.

[0483] The server has the functions of information gathering, data analysis, database storage, search query generation, information formatting, text generation using generative AI, and information transmission to user terminals. The server periodically collects information from reliable external sources (e.g., cultural information sites on the internet and government agency databases). Web crawler tools (e.g., Scrapy) and API calling tools (e.g., Postman) are used for this information gathering.

[0484] The server analyzes the collected data, categorizes it, and stores it in a database. Database management systems such as MySQL or PostgreSQL are used for the database. For example, the server uses natural language processing tools (e.g., NLTK or spaCy) to eliminate duplicate and inconsistent information and select only reliable data.

[0485] The user enters keywords related to the country or culture of the country they are entertaining (e.g., "drinking etiquette in Korea") from their PC or smartphone. The entered information is received by the server, and a search query is generated. The generated search query (e.g., "Korea AND drinking AND etiquette") is issued to the database as an SQL statement.

[0486] The server retrieves relevant information from the database, extracts key points, and preprocesses and formats the data by removing unnecessary information. Text cleaning tools (e.g., Regexp, NLTK) are used during this preprocessing stage.

[0487] The formatted information is passed to a generative AI (e.g., OpenAI GPT-3) and generated as natural language text. For example, specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill the glass if there is still alcohol left," is generated.

[0488] The generated text information is sent from the server to the user's terminal and displayed on the terminal's screen. For example, the user can view the displayed information through a web browser and take appropriate action based on it.

[0489] As a concrete example, if a user enters "Korean hospitality etiquette" into their device, the server generates a search query "Korea AND hospitality AND etiquette" and searches the database. It then retrieves the relevant information and passes it to a generative AI to generate text such as "In Korea, when drinking alcohol with superiors, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol remaining," and displays this text on the user's device.

[0490] By implementing this invention, users can quickly obtain the latest and most accurate information about different cultures and manners, and take appropriate action based on that information.

[0491] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0492] Step 1: User Input

[0493] The user enters keywords related to the country or culture they are being entertained from their device. Specifically, the user accesses the system's application or website using their PC or smartphone and enters a specific prompt, such as "drinking etiquette in Korea," into a text box. Based on the input data, the user's query is generated.

[0494] Step 2: Generate search queries

[0495] The server receives user input and generates a search query based on that input. For example, if a user enters "drinking etiquette in Korea," the server converts this input data into a search query in the format "Korea AND drinking AND etiquette." This query is used to search for relevant information in the database.

[0496] Step 3: Database Search

[0497] The server uses the generated search query to retrieve the relevant information from the database. The server issues SQL statements to the database management system (e.g., MySQL or PostgreSQL) to extract the relevant information. For example, it might execute a query for "Korea AND drinking AND manners" to retrieve the relevant entries. The retrieved data would include specific examples and advice regarding drinking manners in Korea.

[0498] Step 4: Data Classification and Analysis

[0499] The server classifies and analyzes the data obtained as search results. This includes extracting key points and removing redundant parts. The server uses natural language processing tools (e.g., NLTK and spaCy) to analyze the content of the data and reconstruct it as needed. For example, it might divide the information into categories such as "drinking etiquette in casual relationships" and "drinking etiquette in business settings."

[0500] Step 5: Formatting Information

[0501] The analyzed information is preprocessed before being passed to the generative AI. The server uses text cleaning tools (e.g., Regexp, NLTK) to organize the data into a format that is easy for the generative AI to use. This includes standardizing the format and removing unnecessary symbols. The preprocessed data includes specific points such as, "In Korea, it is polite to cover your mouth when drinking alcohol with someone of higher status."

[0502] Step 6: Text generation using generative AI

[0503] The server passes the pre-processed data to a generative AI model (e.g., OpenAI GPT-3) to generate natural language text. The generative AI then uses the received data to generate user-friendly text. For example, it might generate text such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol remaining."

[0504] Step 7: Information Submission and Display

[0505] The generated text information is sent from the server to the user's device. The server sends the generated text to the user's device via an HTTP request (e.g., a RESTful API). The user's device displays the received information on its screen. For example, the generated specific etiquette information is displayed in an easy-to-read format on the user's web browser. The user can then take appropriate action based on this information.

[0506] This process allows users to quickly obtain the latest and most accurate information about different cultures and customs, and to take appropriate action based on that information.

[0507] (Application Example 1)

[0508] 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."

[0509] Providing appropriate service to customers from diverse cultural backgrounds is a crucial challenge for virtual stores. However, a lack of knowledge about the culture and customs of each region can make customer service difficult. Therefore, there is a need for technology to quickly and accurately acquire information on the culture and customs of each country or region and to provide appropriate service.

[0510] 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.

[0511] In this invention, the server includes means for the user to input keywords related to the region or culture to be served; means for generating a search query based on the input information; means for obtaining relevant information from a database using the search query; means for passing the obtained information to a generative artificial intelligence to generate text information in natural language format; means for transmitting and displaying the generated text information on the user's electronic device; and means for providing appropriate methods for responding to customers with different cultural backgrounds. This makes it possible to provide customer service that takes cultural backgrounds into consideration, even in virtual stores.

[0512] A "user" refers to an individual or legal entity that uses this system to search for information and obtain information related to culture and manners.

[0513] "Target of interaction" refers to people from other countries or cultures that the user must interact with, or the culture to which those people belong.

[0514] "Region" refers to a geographical area where a particular culture or set of manners exists.

[0515] "Culture" refers to a collection of customs, beliefs, and behavioral norms within a particular region or society.

[0516] A "keyword" refers to an important phrase that a user enters into the system to search for specific information.

[0517] A "search query" refers to a set of instructions generated from keywords entered by the user to search for information within a database.

[0518] A "database" refers to a collection of information that stores and organizes information about culture and manners in a searchable format.

[0519] "Generative artificial intelligence" refers to artificial intelligence technology that generates text information in natural language format based on acquired information.

[0520] "Natural language text information" refers to information expressed in everyday language that has been generated to be easily understood by users.

[0521] "Electronic devices" refer to devices used by users, such as computers, smartphones, and tablets.

[0522] "Different cultural backgrounds" refers to the different customs and behavioral norms held by the people who interact with the user.

[0523] "Appropriate customer service" refers to correct customer service and communication methods that are based on the customer's cultural background.

[0524] This invention is a system for providing appropriate responses to customers with diverse cultural backgrounds. The system aims to generate and provide appropriate cultural and etiquette information based on user input.

[0525] System Configuration

[0526] The system consists of the following elements:

[0527] 1. User terminal:

[0528] A device used by users to input information and view generated text information. Specifically, this includes electronic devices such as smartphones, computers, and tablets.

[0529] 2. Server:

[0530] It plays a central role in database searching and generative artificial intelligence processing.

[0531] 3. Database:

[0532] This section contains information on culture and manners. The information is regularly collected from external sources and updated to the latest status.

[0533] 4. Generative Artificial Intelligence:

[0534] Based on the information provided by the server, natural language text information is generated.

[0535] Explanation of the processing procedure

[0536] Information gathering and database updates

[0537] The server periodically accesses reliable external databases and APIs to collect the latest information on culture and manners. This includes gathering information from external cultural information websites and databases provided by government agencies. Using APIs enables automated information collection. The collected information is analyzed, categorized (e.g., drinking etiquette, dining etiquette), and stored in the latest database.

[0538] User input and information retrieval

[0539] The user enters keywords related to the region or culture they are serving from their terminal. For example, they might enter information such as "customer service in China." The server receives the user's input and generates a search query. For example, it might generate a query in the format of "China AND customer service AND manners" and prepares it for a database search.

[0540] Database search and information retrieval

[0541] Using the generated query, the server searches the database for the relevant information. If multiple matching entries exist, the information is sorted based on its relevance. The information retrieved from the database is temporarily stored and then passed to the generative artificial intelligence.

[0542] Information generation and provision using generative artificial intelligence.

[0543] The server preprocesses the acquired information and formats it into a form that can be easily used by generative artificial intelligence. This includes extracting important points and removing redundant parts. The formatted information is then passed to the generative AI and generated as easily understandable text in natural language format. For example, specific advice such as, "In China, it is polite to bow when greeting customers. Also, it is standard practice to hand over goods with both hands," may be generated. The generated text information is sent from the server to the user's terminal and displayed on the terminal.

[0544] Specific example

[0545] For customer service in China:

[0546] 1. User input:

[0547] The user enters "Customer support in China" into their terminal.

[0548] 2. Generate search queries and retrieve information:

[0549] The server generates a query for "China AND customer service AND manners," searches the database, retrieves the relevant information, and passes it to the generative artificial intelligence.

[0550] 3. Information generation and display:

[0551] The generative artificial intelligence generates the text information, "In China, it is customary to bow when greeting customers. Also, it is standard practice to hand over goods with both hands," and the server sends and displays this text on the user's terminal.

[0552] Example of a prompt:

[0553] "Please tell me how to handle customer service in China."

[0554] This invention enables customer service that takes cultural background into account, even in virtual stores, thereby improving customer satisfaction.

[0555] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0556] Step 1: User Input

[0557] Specific operation: The user enters keywords related to the region or culture being served from their device (smartphone, computer, tablet, etc.). For example, they might enter "customer service in China."

[0558] Input: Keywords related to the region or culture of the target area.

[0559] Output: User input data

[0560] Step 2: Generate search queries

[0561] Specific operation: The server receives user input and generates a search query based on it. For example, it generates a query in the format "China AND customer service AND manners".

[0562] Input: User input data

[0563] Output: Generated search query

[0564] Step 3: Database Search

[0565] Specific operation: The server uses the generated search query to retrieve relevant information from the database. It retrieves multiple relevant pieces of information and sorts them based on their relevance.

[0566] Input: Generated search query

[0567] Output: List of related information

[0568] Step 4: Information Preprocessing

[0569] Specific operation: The server preprocesses the acquired information and formats it into a form that can be easily used by generative artificial intelligence. It extracts important points and removes redundant parts.

[0570] Input: List of related information

[0571] Output: Formatted information

[0572] Step 5: Generate text information

[0573] Specific operation: The server passes formatted information to a generative artificial intelligence, which then generates text information in natural language format. For example, it might generate text information such as, "In China, it is customary to bow when greeting customers. Also, it is standard practice to hand over goods with both hands."

[0574] Input: Formatted information

[0575] Output: Generated natural language text information

[0576] Step 6: Send and display text information

[0577] Specific operation: The server sends the generated text information to the user's terminal. The terminal displays the received text information on its screen.

[0578] Input: Generated natural language text information

[0579] Output: Display of text information on the user terminal

[0580] This series of steps enables users to provide customer service that takes cultural backgrounds into account, even in virtual stores, thereby improving customer satisfaction.

[0581] 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.

[0582] This invention provides a system that quickly and accurately acquires information on different cultures and manners and provides it to users. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it achieves optimal information display for the user. The following describes a detailed embodiment of the system of this invention.

[0583] System Overview

[0584] This system includes a user terminal, a server, a generative AI, a database, and an emotion engine. When the user enters the name of the country being hosted or related cultural keywords from the terminal, the system automatically generates and provides appropriate information to the user. Furthermore, the emotion engine recognizes the user's emotions and adjusts the display format and content of the information accordingly.

[0585] Program execution steps

[0586] Information gathering and database updates

[0587] Information gathering (server):

[0588] The server periodically accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. The information obtained is collected via APIs.

[0589] Database storage (server):

[0590] The collected information is analyzed by the server, classified into categories (e.g., drinking etiquette, dining etiquette), and stored in a database. The server updates old information with new information, keeping the database constantly up-to-date.

[0591] User input and information retrieval

[0592] User input (user):

[0593] Users enter keywords related to the country they are being entertained or a specific culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[0594] Search query generation (server):

[0595] The server receives user input and generates a search query based on it. For example, it might create a query like "Korea AND drinking AND manners".

[0596] Database search and information retrieval

[0597] Database search (server):

[0598] The server uses the generated query to search the database. If multiple matching entries are found, they are sorted based on relevance or update date.

[0599] Information retrieval (server):

[0600] The server retrieves the relevant information from the search results and stores it temporarily.

[0601] Information generation and provision using generative AI

[0602] Information formatting (server):

[0603] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. This includes extracting important points and removing redundant parts.

[0604] Natural language text generation (generative AI):

[0605] The formatted information is passed to a generative AI, which generates easily understandable text in natural language format. For example, it might generate specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it."

[0606] Emotion recognition and display adjustment using an emotion engine.

[0607] Emotion recognition (emotion engine):

[0608] When a user inputs data, the device's emotion engine recognizes the user's emotions by analyzing their facial expressions, voice tone, and text input. For example, if it determines that the user is stressed, it provides that information to the server.

[0609] Display adjustment (server):

[0610] Based on the results of the emotion engine, the server adjusts the display format and content of the text information generated by the generative AI. For example, if the user is feeling stressed, it adds encouraging or comforting messages.

[0611] Information transmission and display

[0612] Information transmission (server):

[0613] The generated text information is sent from the server to the user's terminal.

[0614] Information display (terminal):

[0615] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information.

[0616] Specific example

[0617] In the case of entertaining clients in South Korea

[0618] 1. User input:

[0619] The user types "Korean hospitality manners" into their device.

[0620] 2. Generate search queries and retrieve information:

[0621] The server generates a query for "Korea AND hospitality AND manners," searches the database, retrieves the relevant information, and passes it to the generation AI.

[0622] 3. Information generation and display adjustment:

[0623] The generative AI generates text information such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill the glass if there is still alcohol left." If the emotion engine determines that the user is feeling stressed, the server adds an encouraging message such as, "Please relax and enjoy yourself."

[0624] 4. Information transmission and display:

[0625] The server sends the final information to the user's terminal, which then displays it to the user.

[0626] Thus, the present invention provides optimal support to users by quickly and accurately acquiring information on different cultures and manners, and further by displaying information appropriately according to the user's emotions.

[0627] The following describes the processing flow.

[0628] Step 1: Information Gathering

[0629] The server periodically accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. This includes automated data collection via APIs.

[0630] Step 2: Database Storage

[0631] The server analyzes the collected information, classifies it by category (e.g., drinking etiquette, dining etiquette), and stores it in a database. It updates outdated information with newer information as needed.

[0632] Step 3: User Input

[0633] Users enter keywords related to the country they are being entertained or a specific culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[0634] Step 4: Generate search queries

[0635] The server receives user input and generates a search query based on that information. For example, it might generate a query in the format "Korea AND drinking AND manners".

[0636] Step 5: Database Search

[0637] The server searches the database using the generated search query. If multiple matching entries are found, they are sorted based on relevance or update date.

[0638] Step 6: Information Acquisition

[0639] The server retrieves the relevant information from the search results and stores it temporarily.

[0640] Step 7: Information Formatting

[0641] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. This process includes extracting important points and removing redundant parts.

[0642] Step 8: Generate text in natural language format

[0643] The server passes the formatted information to a generative AI, instructing it to generate easily understandable text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is customary to cover your mouth when drinking alcohol with someone older or of higher status."

[0644] Step 9: Emotion Recognition

[0645] When a user inputs data, the device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if it determines that the user is stressed, it provides that information to the server.

[0646] Step 10: Display Adjustment

[0647] The server adjusts the display format and content of the generated text information based on the user's emotional information obtained from the emotion engine. For example, if the user is feeling stressed, it adds an encouraging message such as, "Please relax and enjoy yourself."

[0648] Step 11: Send Information

[0649] The generated text information is sent from the server to the user's terminal.

[0650] Step 12: Information Display

[0651] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information. It also changes the display format to one that is relaxing for the user.

[0652] Through this process, users can quickly and accurately obtain necessary information about the culture and manners of the person they are entertaining, and receive appropriate support tailored to their emotions.

[0653] (Example 2)

[0654] 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".

[0655] It is difficult to quickly and accurately acquire and provide users with information about different cultures and customs. Furthermore, displaying information while considering the user's emotions is also a challenge. This can lead to a failure to improve the quality of the user experience and a decrease in satisfaction with how information is received.

[0656] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for the user to input keywords related to the country name or culture of the country being entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for passing the obtained information to a generative AI to generate text information in natural language format, means for transmitting and displaying the generated text information on the user's terminal, emotion recognition means for recognizing the user's emotions, and means for adjusting the display format and content of the text information based on the emotion recognition means. This enables the rapid and accurate acquisition of information related to different cultures and manners, and further enables the display of appropriate information according to the user's emotions.

[0657] A "user" refers to a person who uses an information system.

[0658] "Keywords related to the country or culture of the target of the hospitality" refers to words or phrases related to a specific country or culture that the user enters for the purpose of hospitality or cultural understanding.

[0659] A "search query" refers to a string of characters or commands generated based on user input to identify information within a database.

[0660] A "database" refers to a collection of information in which information about culture and manners is stored in a structured manner.

[0661] "Generative AI" refers to artificial intelligence systems that generate text information in natural language format based on input information.

[0662] "Natural language text information" refers to text information written in a language that is easy for humans to understand, output by generative AI.

[0663] "User's device" refers to an electronic device (e.g., a smartphone or computer) used by a user to input information and view outputted information.

[0664] "Emotion recognition means" refers to technologies that analyze and identify emotions from a user's facial expressions, voice tone, text input, etc.

[0665] "Means for adjusting display format and content" refers to a mechanism for changing the format and content of displayed information according to the user's emotions.

[0666] "External sources" refer to external sources of information that provide information on culture and manners (e.g., cultural information websites or government databases).

[0667] "Analysis" refers to the process of organizing collected information and analyzing it in detail for understanding and classification.

[0668] "Customization" refers to applying and adjusting information and services according to the user's specific needs and preferences.

[0669] This invention is a system that quickly and accurately acquires information on different cultures and manners and provides it to the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it achieves information display that is optimal for the user. The details of embodiments of this invention are described below.

[0670] System Configuration

[0671] This system includes user terminals, servers, generative AI, databases, and emotion engines.

[0672] 1. User terminal: An electronic device used by a user to input information and view results. Specific examples include smartphones and computers.

[0673] 2. Server: A central computer that manages the entire system and collects and processes information.

[0674] 3. Generative AI: This is an artificial intelligence system that generates text information in natural language format based on input information. For example, natural language generation models such as GPT-3 fall into this category.

[0675] 4. Database: A collection of information that stores information about culture and manners.

[0676] 5. Emotion Engine: This is a technology for recognizing emotions from the user's facial expressions, voice tone, and text input.

[0677] System operation

[0678] 1. Information gathering (server):

[0679] The server periodically accesses external sources (e.g., cultural information websites and government databases) to retrieve the latest information on culture and manners via APIs. The retrieved information is analyzed, categorized, and stored in the database.

[0680] 2. User input (User):

[0681] The user enters keywords related to the country being hosted or a specific culture from their device. For example, they might enter "Korean hospitality etiquette."

[0682] 3. Search query generation (server):

[0683] The server generates search queries based on user input. For example, it might create a query like "Korea AND hospitality AND manners".

[0684] 4. Database search and information retrieval (server):

[0685] The server uses the generated query to search the database and retrieve the relevant information. The search results are sorted based on relevance and update date and temporarily stored.

[0686] 5. Information formatting and generation (server):

[0687] The acquired information is preprocessed to extract important information and remove redundant parts. The formatted information is then passed to a generative AI, which generates text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is common to cover your mouth when drinking alcohol with someone older or of higher status. If there is still alcohol left in the glass, do not refill it."

[0688] 6. Emotion recognition and display adjustment (emotion engine and server):

[0689] When a user inputs data, the device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if the system determines that the user is stressed, this information is sent to the server, which then adjusts the display format and content of the generated text information. For instance, it might add an encouraging message such as, "Please relax and enjoy yourself."

[0690] 7. Information transmission and display (server and terminal):

[0691] The server sends the final text information to the user's terminal, which then displays it to the user in a visually easy-to-understand format. For example, important information can be highlighted with bold text or color.

[0692] Specific example

[0693] In the case of entertaining clients in South Korea

[0694] 1. User input (User):

[0695] The user types "Korean hospitality manners" into their device.

[0696] 2. Search query generation (server):

[0697] The server generates a query for "Korea AND hospitality AND manners," searches the database, and retrieves the relevant information.

[0698] 3. Information generation and display adjustment (server and sentiment engine):

[0699] The generative AI generates text information such as, "In Korea, it is common to cover your mouth when drinking alcohol with someone older or of higher status. Also, please relax and enjoy yourself." If the emotion engine determines that the user is feeling stressed, it adds an encouraging message.

[0700] 4. Information transmission and display (server and terminal):

[0701] The server sends the final information to the user's terminal, which then displays it to the user.

[0702] By combining these steps, this invention enables the rapid and accurate acquisition of information on different cultures and manners, and further realizes the display of information appropriately according to the user's emotions.

[0703] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0704] Step 1: Information Gathering

[0705] The server periodically accesses external sources (e.g., cultural information websites or government databases) and retrieves the latest information on culture and manners via APIs. It then analyzes the retrieved information and categorizes it (e.g., drinking etiquette, dining etiquette). The input is information collected from external sources, and the output is the storage of the categorized information in a database.

[0706] Step 2: Database Storage

[0707] The server stores the analyzed information in a database, categorized by type. The database is kept up-to-date by deleting old information and adding new information. The input is the analyzed information, and the output is the updated database.

[0708] Step 3: User Input

[0709] The user enters keywords related to the country or culture being entertained from their terminal. For example, they might enter "Korean hospitality etiquette." The input is a keyword specified by the user, and the output is the transmission of that keyword to the server.

[0710] Step 4: Generate search queries

[0711] The server generates a search query based on user input. For example, it might create a query like "Korea AND hospitality AND manners". The input is the user's keywords, and the output is the generated search query.

[0712] Step 5: Database Search

[0713] The server uses the generated query to search the database for the relevant information. If there are multiple search results, they are sorted based on relevance or update date. The input is the generated search query, and the output is the sorted search results.

[0714] Step 6: Information Acquisition

[0715] The server retrieves relevant information from the search results and stores it temporarily. For example, information such as "In Korea, when drinking alcohol with someone of higher status, it is customary to cover your mouth." The input is the sorted search results, and the output is the temporarily stored information.

[0716] Step 7: Information Formatting

[0717] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. Specifically, it extracts important information and removes redundant parts. The input is the acquired information, and the output is the formatted information.

[0718] Step 8: Generate text in natural language format

[0719] The formatted information is passed to a generative AI, which generates it as text in natural language format. For example, it might generate advice such as, "In Korea, when drinking alcohol with someone older or of higher status, it is necessary to cover your mouth. Do not refill the glass if there is still alcohol left." The input is formatted information, and the output is text in natural language format.

[0720] Step 9: Emotion Recognition

[0721] The device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if it determines that the user is stressed, that information is sent to the server. The input is the user's emotion data, and the output is the transmission of emotion information to the server.

[0722] Step 10: Display Adjustment

[0723] The server adjusts the display format and content of the generated text information based on the results of the emotion engine. For example, if the user is feeling stressed, the server adds an encouraging message such as "Relax and enjoy yourself." The input is the analysis result of the emotion engine, and the output is the adjusted text information.

[0724] Step 11: Send Information

[0725] The server sends the final text information to the user's terminal. The input is the edited text information, and the output is the transmission of information to the user's terminal.

[0726] Step 12: Information Display

[0727] The terminal displays the received information to the user in a visually easy-to-understand format. For example, important information is highlighted with bold text or color. Input is text information sent from the server, and output is the information displayed for the user to view.

[0728] (Application Example 2)

[0729] 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."

[0730] A system that provides timely and accurate information on culture and manners essential when visiting different regions and countries is extremely important. However, conventional systems have not taken into account the user's emotional state when providing information. As a result, there was a challenge in that it was difficult for users to easily understand and receive appropriate cultural information without feeling confused or stressed.

[0731] 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. In this invention, the server includes means for the user to input keywords related to the name of the country or culture to be entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for passing the obtained information to a generative AI to generate text information in natural language format, means for transmitting the generated text information to a user terminal and displaying it, means for analyzing the user's emotions, and means for adjusting the generated text information based on the analyzed emotion information. This makes it possible to provide cultural customs of the region or country the user is visiting in real time and to provide information that takes into account the user's emotional state.

[0732] A "user terminal" is an electronic device used by a user to directly operate or receive information.

[0733] A "server" is a computing system used for collecting, analyzing, storing, and providing information.

[0734] "Generative AI" is an artificial intelligence technology that generates text information in natural language format based on input data.

[0735] "Natural language text information" refers to written information provided in a format that is easy for users to understand.

[0736] "Means of analyzing emotions" refers to a system that analyzes the user's facial expressions, voice, or text input to determine their emotional state.

[0737] A "database" is a collection of information used to store and manage acquired information about culture and manners.

[0738] A "search query" is a set of search criteria used to retrieve specific information from a database.

[0739] This invention relates to a navigation system for autonomous vehicles that appropriately provides users with information on the culture and manners related to their destination, and further analyzes the user's emotions to adjust the information accordingly. This system includes a user terminal, a server, a generative AI, a database, and an emotion engine.

[0740] Hardware and software configuration

[0741] The user terminal is a device integrated into the navigation system of an autonomous vehicle, including a display, speakers, cameras, and microphones. The server functions as a central processing unit, collecting, analyzing, storing, and providing information. The generative AI has natural language processing capabilities and generates user-friendly text information based on data obtained from the database. The emotion engine analyzes the user's facial expressions and voice to determine their emotional state.

[0742] Data processing and data calculation

[0743] The server periodically collects the latest information on culture and manners from external sources and stores it in a database. This information is organized by category and easily searchable using search queries. When a user enters a destination into the navigation system, the server generates a search query based on this information and extracts relevant cultural and manners information. The extracted information is converted into natural language text by a generative AI. During this process, redundant parts are removed, and only the points important to the user are extracted. Finally, an emotion engine analyzes the user's facial expressions and voice input and adjusts the text information according to their emotions. For example, if the user is feeling stressed, a message encouraging relaxation will be added.

[0744] Specific example

[0745] For example, if a user enters "Japan, Tokyo, Asakusa" as their destination into the navigation system, the server generates a search query such as "Asakusa AND Culture AND Manners" and retrieves relevant information from the database. The generative AI generates specific text information such as, "In Asakusa, it is customary to remove your shoes before entering temples." If the emotion engine determines that the user is feeling stressed, it adds a message such as, "Please relax and enjoy yourself." The adjusted information is then presented to the user through the navigation system's display and speakers.

[0746] Example of a prompt

[0747] "Please provide information about culture and manners in Japan, Tokyo, and Asakusa. If users are confused, please add helpful explanations."

[0748] Thus, the present invention can provide optimal support to the user in a navigation system for an autonomous vehicle. This allows the user to confidently adapt to the culture and customs of their destination.

[0749] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0750] Step 1:

[0751] The user enters a destination into the navigation system. The user inputs information such as "Japan, Tokyo, Asakusa," and the terminal receives this information. This information becomes the basic data for subsequent processing.

[0752] Step 2:

[0753] The server generates a search query based on the destination information it receives. The entered destination information, "Japan, Tokyo, Asakusa," is converted into a search query such as "Asakusa AND Culture AND Manners." This query then serves as the input for subsequent data exploration.

[0754] Step 3:

[0755] The server searches the database using the generated search query. The database contains information about the culture and manners of each region and country. Based on the search query, it extracts relevant information. For example, it might retrieve information such as "In Asakusa, you take off your shoes before entering a temple."

[0756] Step 4:

[0757] The server passes the acquired information to a generative AI, which generates text information in natural language format. The generative AI then uses this information to generate easy-to-understand sentences. In this case, specific information such as "In Asakusa, it is customary to remove your shoes before entering a temple" is generated.

[0758] Step 5:

[0759] The device's camera and microphone are used to analyze the user's emotions. The device uses an emotion engine to analyze the user's facial expressions and voice to determine whether the user is experiencing stress. This analysis result becomes adjustment data for subsequent processing.

[0760] Step 6:

[0761] The server adjusts the text information generated based on the analyzed emotional data. For example, if the user is feeling stressed, it might add a message such as, "Please relax and enjoy yourself." This ensures that information is generated that is appropriate to the user's emotional state.

[0762] Step 7:

[0763] The server then sends the final generated text information to the terminal. The terminal receives this information and presents it to the user through the navigation display or voice assistant. For example, the navigation system's display might show, "In Asakusa, it is customary to remove your shoes before entering temples. Please relax and enjoy your visit."

[0764] The above outlines the specific processing steps of the system program that implements the application example.

[0765] 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.

[0766] 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.

[0767] 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.

[0768] [Third Embodiment]

[0769] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0770] 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.

[0771] 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).

[0772] 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.

[0773] 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.

[0774] 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).

[0775] 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.

[0776] 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.

[0777] 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.

[0778] 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.

[0779] 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.

[0780] 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".

[0781] This invention is a system for quickly and accurately acquiring information on different cultures and manners and providing it to users. The following describes a detailed embodiment of the system of this invention.

[0782] System Overview

[0783] This system allows users to search for information about the country and culture they are being entertained by, and provides them with information to take appropriate action based on that information. Its main components include user terminals, servers, generative AI, and databases.

[0784] Program execution steps

[0785] Information gathering and database updates

[0786] Information gathering (server):

[0787] The server periodically accesses reliable databases and APIs to collect the latest information on culture and manners. For example, it retrieves information from external cultural information websites and databases provided by government agencies. Using APIs enables automated information collection.

[0788] Database storage (server):

[0789] The collected information is analyzed and stored in a database, categorized (e.g., drinking etiquette, dining etiquette). The server replaces old information with new information, keeping the database up-to-date.

[0790] User input and information retrieval

[0791] User input (user):

[0792] Users enter keywords from their device related to the country they are being entertained in or a specific culture. For example, they might enter information such as "drinking etiquette in Korea" or "Islamic eating customs."

[0793] Search query generation (server):

[0794] The server receives user input and generates a search query. For example, it generates a query in the format "Korea AND drinking AND manners" and prepares it for a database search.

[0795] Database search and information retrieval

[0796] Database search (server):

[0797] Using the generated query, the server searches the database for the relevant information. If multiple matching entries exist, the information is sorted based on its relevance.

[0798] Information retrieval (server):

[0799] The information retrieved from the database is temporarily stored and prepared to be passed on to the generative AI.

[0800] Information generation and provision using generative AI

[0801] Information formatting (server):

[0802] The server preprocesses the acquired information and formats it into a form that can be easily used by generative AI. This includes extracting important points and removing redundant parts.

[0803] Natural language text generation (generative AI):

[0804] The formatted information is passed to a generative AI, which generates easily understandable text in natural language format. For example, it might generate specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it."

[0805] Information transmission and display (server and terminal):

[0806] The generated text information is sent from the server to the user's terminal and displayed on the terminal. The user can then take appropriate action based on this information.

[0807] Specific example

[0808] In the case of entertaining clients in South Korea

[0809] 1. User input:

[0810] The user types "Korean hospitality manners" into their device.

[0811] 2. Generate search queries and retrieve information:

[0812] The server generates a query for "Korea AND hospitality AND manners," searches the database, retrieves the relevant information, and passes it to the generation AI.

[0813] 3. Information generation and display:

[0814] The generative AI generates text information such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it," and the server sends and displays this information on the user's device.

[0815] Thus, the present invention makes it possible to quickly obtain information on different cultures and manners and to support appropriate behavior.

[0816] The following describes the processing flow.

[0817] Step 1: Information Gathering

[0818] The server regularly accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. It automatically collects the necessary data using APIs and scraping techniques.

[0819] Step 2: Database Storage

[0820] The server analyzes the collected information, classifies it by category (e.g., drinking etiquette, dining etiquette), and stores it in a database. If there is outdated information, it is updated with the latest information.

[0821] Step 3: User Input

[0822] The user enters keywords related to the country being hosted or its culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[0823] Step 4: Generate search queries

[0824] The server receives user input and generates a search query based on it. For example, it might create a query like "Korea AND drinking AND manners".

[0825] Step 5: Database Search

[0826] The server searches the database using the generated search query. If multiple matching entries are found, they are sorted based on relevance or update date.

[0827] Step 6: Information Acquisition

[0828] The server retrieves the relevant information from the search results and stores it temporarily.

[0829] Step 7: Information Formatting

[0830] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. It extracts important points and removes unnecessary parts.

[0831] Step 8: Generate text in natural language format

[0832] The server passes the formatted information to a generative AI, instructing it to generate easily understandable text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is customary to cover your mouth when drinking alcohol with someone older or of higher status."

[0833] Step 9: Send Information

[0834] The generated text information is sent from the server to the user's terminal.

[0835] Step 10: Information Display

[0836] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information.

[0837] Through these steps, users can quickly and accurately obtain the necessary information about the culture and manners of the person they are entertaining, and take appropriate action.

[0838] (Example 1)

[0839] 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."

[0840] In today's global society, it is essential to quickly and accurately understand different cultures and customs and to act appropriately. However, obtaining detailed information about the manners and customs of different cultural spheres is difficult, and much of the information is scattered across the internet, making it time-consuming and laborious to collect and organize the necessary information. Therefore, there is a need for a system that allows users to efficiently obtain accurate and specific information about particular countries and cultures and to support appropriate behavior.

[0841] 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.

[0842] In this invention, the server includes means for the user to input keywords related to the country or culture to be entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for classifying and analyzing the obtained information and pre-processing the necessary parts, means for passing the pre-processed information to a generative AI to generate text information in natural language format, and means for transmitting and displaying the generated text information on the user's terminal. This enables the user to quickly obtain the latest and most accurate etiquette information regarding a specific country or culture and take appropriate action.

[0843] A "user" is an individual or group that uses the system to search for and obtain information about different countries and cultures.

[0844] A "server" is a computer system that collects, analyzes, organizes, and stores information in a database.

[0845] "Keywords related to the country or culture of the country being entertained" are strings or phrases that the user enters to indicate information they want to ask about a specific country or culture.

[0846] A "search query" is a set of instructions generated to search for relevant information within a database based on keywords entered by the user.

[0847] A "database" is a collection of digital information in which collected information about culture and manners is organized and stored.

[0848] "Generative AI" refers to artificial intelligence systems that generate text in natural language format based on pre-processed data.

[0849] "Natural language text information" refers to information that has been converted into a user-friendly text format by a generative AI.

[0850] A "terminal" is an electronic device (e.g., a PC or smartphone) that a user uses to access a system and input or retrieve information.

[0851] "External sources" refer to publicly available information on the internet and government databases that the system uses to collect information about culture and manners.

[0852] "Natural language processing" refers to artificial intelligence technology that analyzes and generates text data and converts it into a format that is easy for users to understand.

[0853] This invention is a system for quickly and accurately acquiring information on different cultures and manners and providing it to users. The system includes user terminals, a server, a generative AI, and a database as its main components.

[0854] The server has the functions of information gathering, data analysis, database storage, search query generation, information formatting, text generation using generative AI, and information transmission to user terminals. The server periodically collects information from reliable external sources (e.g., cultural information sites on the internet and government agency databases). Web crawler tools (e.g., Scrapy) and API calling tools (e.g., Postman) are used for this information gathering.

[0855] The server analyzes the collected data, categorizes it, and stores it in a database. Database management systems such as MySQL or PostgreSQL are used for the database. For example, the server uses natural language processing tools (e.g., NLTK or spaCy) to eliminate duplicate and inconsistent information and select only reliable data.

[0856] The user enters keywords related to the country or culture of the country they are entertaining (e.g., "drinking etiquette in Korea") from their PC or smartphone. The entered information is received by the server, and a search query is generated. The generated search query (e.g., "Korea AND drinking AND etiquette") is issued to the database as an SQL statement.

[0857] The server retrieves relevant information from the database, extracts key points, and preprocesses and formats the data by removing unnecessary information. Text cleaning tools (e.g., Regexp, NLTK) are used during this preprocessing stage.

[0858] The formatted information is passed to a generative AI (e.g., OpenAI GPT-3) and generated as natural language text. For example, specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill the glass if there is still alcohol left," is generated.

[0859] The generated text information is sent from the server to the user's terminal and displayed on the terminal's screen. For example, the user can view the displayed information through a web browser and take appropriate action based on it.

[0860] As a concrete example, if a user enters "Korean hospitality etiquette" into their device, the server generates a search query "Korea AND hospitality AND etiquette" and searches the database. It then retrieves the relevant information and passes it to a generative AI to generate text such as "In Korea, when drinking alcohol with superiors, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol remaining," and displays this text on the user's device.

[0861] By implementing this invention, users can quickly obtain the latest and most accurate information about different cultures and manners, and take appropriate action based on that information.

[0862] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0863] Step 1: User Input

[0864] The user enters keywords related to the country or culture they are being entertained from their device. Specifically, the user accesses the system's application or website using their PC or smartphone and enters a specific prompt, such as "drinking etiquette in Korea," into a text box. Based on the input data, the user's query is generated.

[0865] Step 2: Generate search queries

[0866] The server receives user input and generates a search query based on that input. For example, if a user enters "drinking etiquette in Korea," the server converts this input data into a search query in the format "Korea AND drinking AND etiquette." This query is used to search for relevant information in the database.

[0867] Step 3: Database Search

[0868] The server uses the generated search query to retrieve the relevant information from the database. The server issues SQL statements to the database management system (e.g., MySQL or PostgreSQL) to extract the relevant information. For example, it might execute a query for "Korea AND drinking AND manners" to retrieve the relevant entries. The retrieved data would include specific examples and advice regarding drinking manners in Korea.

[0869] Step 4: Data Classification and Analysis

[0870] The server classifies and analyzes the data obtained as search results. This includes extracting key points and removing redundant parts. The server uses natural language processing tools (e.g., NLTK and spaCy) to analyze the content of the data and reconstruct it as needed. For example, it might divide the information into categories such as "drinking etiquette in casual relationships" and "drinking etiquette in business settings."

[0871] Step 5: Formatting Information

[0872] The analyzed information is preprocessed before being passed to the generative AI. The server uses text cleaning tools (e.g., Regexp, NLTK) to organize the data into a format that is easy for the generative AI to use. This includes standardizing the format and removing unnecessary symbols. The preprocessed data includes specific points such as, "In Korea, it is polite to cover your mouth when drinking alcohol with someone of higher status."

[0873] Step 6: Text generation using generative AI

[0874] The server passes the pre-processed data to a generative AI model (e.g., OpenAI GPT-3) to generate natural language text. The generative AI then uses the received data to generate user-friendly text. For example, it might generate text such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol remaining."

[0875] Step 7: Information Submission and Display

[0876] The generated text information is sent from the server to the user's device. The server sends the generated text to the user's device via an HTTP request (e.g., a RESTful API). The user's device displays the received information on its screen. For example, the generated specific etiquette information is displayed in an easy-to-read format on the user's web browser. The user can then take appropriate action based on this information.

[0877] This process allows users to quickly obtain the latest and most accurate information about different cultures and customs, and to take appropriate action based on that information.

[0878] (Application Example 1)

[0879] 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."

[0880] Providing appropriate service to customers from diverse cultural backgrounds is a crucial challenge for virtual stores. However, a lack of knowledge about the culture and customs of each region can make customer service difficult. Therefore, there is a need for technology to quickly and accurately acquire information on the culture and customs of each country or region and to provide appropriate service.

[0881] 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.

[0882] In this invention, the server includes means for the user to input keywords related to the region or culture to be served; means for generating a search query based on the input information; means for obtaining relevant information from a database using the search query; means for passing the obtained information to a generative artificial intelligence to generate text information in natural language format; means for transmitting and displaying the generated text information on the user's electronic device; and means for providing appropriate methods for responding to customers with different cultural backgrounds. This makes it possible to provide customer service that takes cultural backgrounds into consideration, even in virtual stores.

[0883] A "user" refers to an individual or legal entity that uses this system to search for information and obtain information related to culture and manners.

[0884] "Target of interaction" refers to people from other countries or cultures that the user must interact with, or the culture to which those people belong.

[0885] "Region" refers to a geographical area where a particular culture or set of manners exists.

[0886] "Culture" refers to a collection of customs, beliefs, and behavioral norms within a particular region or society.

[0887] A "keyword" refers to an important phrase that a user enters into the system to search for specific information.

[0888] A "search query" refers to a set of instructions generated from keywords entered by the user to search for information within a database.

[0889] A "database" refers to a collection of information that stores and organizes information about culture and manners in a searchable format.

[0890] "Generative artificial intelligence" refers to artificial intelligence technology that generates text information in natural language format based on acquired information.

[0891] "Natural language text information" refers to information expressed in everyday language that has been generated to be easily understood by users.

[0892] "Electronic devices" refer to devices used by users, such as computers, smartphones, and tablets.

[0893] "Different cultural backgrounds" refers to the different customs and behavioral norms held by the people who interact with the user.

[0894] "Appropriate customer service" refers to correct customer service and communication methods that are based on the customer's cultural background.

[0895] This invention is a system for providing appropriate responses to customers with diverse cultural backgrounds. The system aims to generate and provide appropriate cultural and etiquette information based on user input.

[0896] System Configuration

[0897] The system consists of the following elements:

[0898] 1. User terminal:

[0899] A device used by users to input information and view generated text information. Specifically, this includes electronic devices such as smartphones, computers, and tablets.

[0900] 2. Server:

[0901] It plays a central role in database searching and generative artificial intelligence processing.

[0902] 3. Database:

[0903] This section contains information on culture and manners. The information is regularly collected from external sources and updated to the latest status.

[0904] 4. Generative Artificial Intelligence:

[0905] Based on the information provided by the server, natural language text information is generated.

[0906] Explanation of the processing procedure

[0907] Information gathering and database updates

[0908] The server periodically accesses reliable external databases and APIs to collect the latest information on culture and manners. This includes gathering information from external cultural information websites and databases provided by government agencies. Using APIs enables automated information collection. The collected information is analyzed, categorized (e.g., drinking etiquette, dining etiquette), and stored in the latest database.

[0909] User input and information retrieval

[0910] The user enters keywords related to the region or culture they are serving from their terminal. For example, they might enter information such as "customer service in China." The server receives the user's input and generates a search query. For example, it might generate a query in the format of "China AND customer service AND manners" and prepares it for a database search.

[0911] Database search and information retrieval

[0912] Using the generated query, the server searches the database for the relevant information. If multiple matching entries exist, the information is sorted based on its relevance. The information retrieved from the database is temporarily stored and then passed to the generative artificial intelligence.

[0913] Information generation and provision using generative artificial intelligence.

[0914] The server preprocesses the acquired information and formats it into a form that can be easily used by generative artificial intelligence. This includes extracting important points and removing redundant parts. The formatted information is then passed to the generative AI and generated as easily understandable text in natural language format. For example, specific advice such as, "In China, it is polite to bow when greeting customers. Also, it is standard practice to hand over goods with both hands," may be generated. The generated text information is sent from the server to the user's terminal and displayed on the terminal.

[0915] Specific example

[0916] For customer service in China:

[0917] 1. User input:

[0918] The user enters "Customer support in China" into their terminal.

[0919] 2. Generate search queries and retrieve information:

[0920] The server generates a query for "China AND customer service AND manners," searches the database, retrieves the relevant information, and passes it to the generative artificial intelligence.

[0921] 3. Information generation and display:

[0922] The generative artificial intelligence generates the text information, "In China, it is customary to bow when greeting customers. Also, it is standard practice to hand over goods with both hands," and the server sends and displays this text on the user's terminal.

[0923] Example of a prompt:

[0924] "Please tell me how to handle customer service in China."

[0925] This invention enables customer service that takes cultural background into account, even in virtual stores, thereby improving customer satisfaction.

[0926] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0927] Step 1: User Input

[0928] Specific operation: The user enters keywords related to the region or culture being served from their device (smartphone, computer, tablet, etc.). For example, they might enter "customer service in China."

[0929] Input: Keywords related to the region or culture of the target area.

[0930] Output: User input data

[0931] Step 2: Generate search queries

[0932] Specific operation: The server receives user input and generates a search query based on it. For example, it generates a query in the format "China AND customer service AND manners".

[0933] Input: User input data

[0934] Output: Generated search query

[0935] Step 3: Database Search

[0936] Specific operation: The server uses the generated search query to retrieve relevant information from the database. It retrieves multiple relevant pieces of information and sorts them based on their relevance.

[0937] Input: Generated search query

[0938] Output: List of related information

[0939] Step 4: Information Preprocessing

[0940] Specific operation: The server preprocesses the acquired information and formats it into a form that can be easily used by generative artificial intelligence. It extracts important points and removes redundant parts.

[0941] Input: List of related information

[0942] Output: Formatted information

[0943] Step 5: Generate text information

[0944] Specific operation: The server passes formatted information to a generative artificial intelligence, which then generates text information in natural language format. For example, it might generate text information such as, "In China, it is customary to bow when greeting customers. Also, it is standard practice to hand over goods with both hands."

[0945] Input: Formatted information

[0946] Output: Generated natural language text information

[0947] Step 6: Send and display text information

[0948] Specific operation: The server sends the generated text information to the user's terminal. The terminal displays the received text information on its screen.

[0949] Input: Generated natural language text information

[0950] Output: Display of text information on the user terminal

[0951] This series of steps enables users to provide customer service that takes cultural backgrounds into account, even in virtual stores, thereby improving customer satisfaction.

[0952] 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.

[0953] This invention provides a system that quickly and accurately acquires information on different cultures and manners and provides it to users. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it achieves optimal information display for the user. The following describes a detailed embodiment of the system of this invention.

[0954] System Overview

[0955] This system includes a user terminal, a server, a generative AI, a database, and an emotion engine. When the user enters the name of the country being hosted or related cultural keywords from the terminal, the system automatically generates and provides appropriate information to the user. Furthermore, the emotion engine recognizes the user's emotions and adjusts the display format and content of the information accordingly.

[0956] Program execution steps

[0957] Information gathering and database updates

[0958] Information gathering (server):

[0959] The server periodically accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. The information obtained is collected via APIs.

[0960] Database storage (server):

[0961] The collected information is analyzed by the server, classified into categories (e.g., drinking etiquette, dining etiquette), and stored in a database. The server updates old information with new information, keeping the database constantly up-to-date.

[0962] User input and information retrieval

[0963] User input (user):

[0964] Users enter keywords related to the country they are being entertained or a specific culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[0965] Search query generation (server):

[0966] The server receives user input and generates a search query based on it. For example, it might create a query like "Korea AND drinking AND manners".

[0967] Database search and information retrieval

[0968] Database search (server):

[0969] The server uses the generated query to search the database. If multiple matching entries are found, they are sorted based on relevance or update date.

[0970] Information retrieval (server):

[0971] The server retrieves the relevant information from the search results and stores it temporarily.

[0972] Information generation and provision using generative AI

[0973] Information formatting (server):

[0974] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. This includes extracting important points and removing redundant parts.

[0975] Natural language text generation (generative AI):

[0976] The formatted information is passed to a generative AI, which generates easily understandable text in natural language format. For example, it might generate specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it."

[0977] Emotion recognition and display adjustment using an emotion engine.

[0978] Emotion recognition (emotion engine):

[0979] When a user inputs data, the device's emotion engine recognizes the user's emotions by analyzing their facial expressions, voice tone, and text input. For example, if it determines that the user is stressed, it provides that information to the server.

[0980] Display adjustment (server):

[0981] Based on the results of the emotion engine, the server adjusts the display format and content of the text information generated by the generative AI. For example, if the user is feeling stressed, it adds encouraging or comforting messages.

[0982] Information transmission and display

[0983] Information transmission (server):

[0984] The generated text information is sent from the server to the user's terminal.

[0985] Information display (terminal):

[0986] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information.

[0987] Specific example

[0988] In the case of entertaining clients in South Korea

[0989] 1. User input:

[0990] The user types "Korean hospitality manners" into their device.

[0991] 2. Generate search queries and retrieve information:

[0992] The server generates a query for "Korea AND hospitality AND manners," searches the database, retrieves the relevant information, and passes it to the generation AI.

[0993] 3. Information generation and display adjustment:

[0994] The generative AI generates text information such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill the glass if there is still alcohol left." If the emotion engine determines that the user is feeling stressed, the server adds an encouraging message such as, "Please relax and enjoy yourself."

[0995] 4. Information transmission and display:

[0996] The server sends the final information to the user's terminal, which then displays it to the user.

[0997] Thus, the present invention provides optimal support to users by quickly and accurately acquiring information on different cultures and manners, and further by displaying information appropriately according to the user's emotions.

[0998] The following describes the processing flow.

[0999] Step 1: Information Gathering

[1000] The server periodically accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. This includes automated data collection via APIs.

[1001] Step 2: Database Storage

[1002] The server analyzes the collected information, classifies it by category (e.g., drinking etiquette, dining etiquette), and stores it in a database. It updates outdated information with newer information as needed.

[1003] Step 3: User Input

[1004] Users enter keywords related to the country they are being entertained or a specific culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[1005] Step 4: Generate search queries

[1006] The server receives user input and generates a search query based on that information. For example, it might generate a query in the format "Korea AND drinking AND manners".

[1007] Step 5: Database Search

[1008] The server searches the database using the generated search query. If multiple matching entries are found, they are sorted based on relevance or update date.

[1009] Step 6: Information Acquisition

[1010] The server retrieves the relevant information from the search results and stores it temporarily.

[1011] Step 7: Information Formatting

[1012] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. This process includes extracting important points and removing redundant parts.

[1013] Step 8: Generate text in natural language format

[1014] The server passes the formatted information to a generative AI, instructing it to generate easily understandable text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is customary to cover your mouth when drinking alcohol with someone older or of higher status."

[1015] Step 9: Emotion Recognition

[1016] When a user inputs data, the device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if it determines that the user is stressed, it provides that information to the server.

[1017] Step 10: Display Adjustment

[1018] The server adjusts the display format and content of the generated text information based on the user's emotional information obtained from the emotion engine. For example, if the user is feeling stressed, it adds an encouraging message such as, "Please relax and enjoy yourself."

[1019] Step 11: Send Information

[1020] The generated text information is sent from the server to the user's terminal.

[1021] Step 12: Information Display

[1022] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information. It also changes the display format to one that is relaxing for the user.

[1023] Through this process, users can quickly and accurately obtain necessary information about the culture and manners of the person they are entertaining, and receive appropriate support tailored to their emotions.

[1024] (Example 2)

[1025] 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."

[1026] It is difficult to quickly and accurately acquire and provide users with information about different cultures and customs. Furthermore, displaying information while considering the user's emotions is also a challenge. This can lead to a failure to improve the quality of the user experience and a decrease in satisfaction with how information is received.

[1027] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for the user to input keywords related to the country name or culture of the country being entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for passing the obtained information to a generative AI to generate text information in natural language format, means for transmitting and displaying the generated text information on the user's terminal, emotion recognition means for recognizing the user's emotions, and means for adjusting the display format and content of the text information based on the emotion recognition means. This enables the rapid and accurate acquisition of information related to different cultures and manners, and further enables the display of appropriate information according to the user's emotions.

[1028] A "user" refers to a person who uses an information system.

[1029] "Keywords related to the country or culture of the target of the hospitality" refers to words or phrases related to a specific country or culture that the user enters for the purpose of hospitality or cultural understanding.

[1030] A "search query" refers to a string of characters or commands generated based on user input to identify information within a database.

[1031] A "database" refers to a collection of information in which information about culture and manners is stored in a structured manner.

[1032] "Generative AI" refers to artificial intelligence systems that generate text information in natural language format based on input information.

[1033] "Natural language text information" refers to text information written in a language that is easy for humans to understand, output by generative AI.

[1034] "User's device" refers to an electronic device (e.g., a smartphone or computer) used by a user to input information and view outputted information.

[1035] "Emotion recognition means" refers to technologies that analyze and identify emotions from a user's facial expressions, voice tone, text input, etc.

[1036] "Means for adjusting display format and content" refers to a mechanism for changing the format and content of displayed information according to the user's emotions.

[1037] "External sources" refer to external sources of information that provide information on culture and manners (e.g., cultural information websites or government databases).

[1038] "Analysis" refers to the process of organizing collected information and analyzing it in detail for understanding and classification.

[1039] "Customization" refers to applying and adjusting information and services according to the user's specific needs and preferences.

[1040] This invention is a system that quickly and accurately acquires information on different cultures and manners and provides it to the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it achieves information display that is optimal for the user. The details of embodiments of this invention are described below.

[1041] System Configuration

[1042] This system includes user terminals, servers, generative AI, databases, and emotion engines.

[1043] 1. User terminal: An electronic device used by a user to input information and view results. Specific examples include smartphones and computers.

[1044] 2. Server: A central computer that manages the entire system and collects and processes information.

[1045] 3. Generative AI: This is an artificial intelligence system that generates text information in natural language format based on input information. For example, natural language generation models such as GPT-3 fall into this category.

[1046] 4. Database: A collection of information that stores information about culture and manners.

[1047] 5. Emotion Engine: This is a technology for recognizing emotions from the user's facial expressions, voice tone, and text input.

[1048] System operation

[1049] 1. Information gathering (server):

[1050] The server periodically accesses external sources (e.g., cultural information websites and government databases) to retrieve the latest information on culture and manners via APIs. The retrieved information is analyzed, categorized, and stored in the database.

[1051] 2. User input (User):

[1052] The user enters keywords related to the country being hosted or a specific culture from their device. For example, they might enter "Korean hospitality etiquette."

[1053] 3. Search query generation (server):

[1054] The server generates search queries based on user input. For example, it might create a query like "Korea AND hospitality AND manners".

[1055] 4. Database search and information retrieval (server):

[1056] The server uses the generated query to search the database and retrieve the relevant information. The search results are sorted based on relevance and update date and temporarily stored.

[1057] 5. Information formatting and generation (server):

[1058] The acquired information is preprocessed to extract important information and remove redundant parts. The formatted information is then passed to a generative AI, which generates text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is common to cover your mouth when drinking alcohol with someone older or of higher status. If there is still alcohol left in the glass, do not refill it."

[1059] 6. Emotion recognition and display adjustment (emotion engine and server):

[1060] When a user inputs data, the device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if the system determines that the user is stressed, this information is sent to the server, which then adjusts the display format and content of the generated text information. For instance, it might add an encouraging message such as, "Please relax and enjoy yourself."

[1061] 7. Information transmission and display (server and terminal):

[1062] The server sends the final text information to the user's terminal, which then displays it to the user in a visually easy-to-understand format. For example, important information can be highlighted with bold text or color.

[1063] Specific example

[1064] In the case of entertaining clients in South Korea

[1065] 1. User input (User):

[1066] The user types "Korean hospitality manners" into their device.

[1067] 2. Search query generation (server):

[1068] The server generates a query for "Korea AND hospitality AND manners," searches the database, and retrieves the relevant information.

[1069] 3. Information generation and display adjustment (server and sentiment engine):

[1070] The generative AI generates text information such as, "In Korea, it is common to cover your mouth when drinking alcohol with someone older or of higher status. Also, please relax and enjoy yourself." If the emotion engine determines that the user is feeling stressed, it adds an encouraging message.

[1071] 4. Information transmission and display (server and terminal):

[1072] The server sends the final information to the user's terminal, which then displays it to the user.

[1073] By combining these steps, this invention enables the rapid and accurate acquisition of information on different cultures and manners, and further realizes the display of information appropriately according to the user's emotions.

[1074] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1075] Step 1: Information Gathering

[1076] The server periodically accesses external sources (e.g., cultural information websites or government databases) and retrieves the latest information on culture and manners via APIs. It then analyzes the retrieved information and categorizes it (e.g., drinking etiquette, dining etiquette). The input is information collected from external sources, and the output is the storage of the categorized information in a database.

[1077] Step 2: Database Storage

[1078] The server stores the analyzed information in a database, categorized by type. The database is kept up-to-date by deleting old information and adding new information. The input is the analyzed information, and the output is the updated database.

[1079] Step 3: User Input

[1080] The user enters keywords related to the country or culture being entertained from their terminal. For example, they might enter "Korean hospitality etiquette." The input is a keyword specified by the user, and the output is the transmission of that keyword to the server.

[1081] Step 4: Generate search queries

[1082] The server generates a search query based on user input. For example, it might create a query like "Korea AND hospitality AND manners". The input is the user's keywords, and the output is the generated search query.

[1083] Step 5: Database Search

[1084] The server uses the generated query to search the database for the relevant information. If there are multiple search results, they are sorted based on relevance or update date. The input is the generated search query, and the output is the sorted search results.

[1085] Step 6: Information Acquisition

[1086] The server retrieves relevant information from the search results and stores it temporarily. For example, information such as "In Korea, when drinking alcohol with someone of higher status, it is customary to cover your mouth." The input is the sorted search results, and the output is the temporarily stored information.

[1087] Step 7: Information Formatting

[1088] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. Specifically, it extracts important information and removes redundant parts. The input is the acquired information, and the output is the formatted information.

[1089] Step 8: Generate text in natural language format

[1090] The formatted information is passed to a generative AI, which generates it as text in natural language format. For example, it might generate advice such as, "In Korea, when drinking alcohol with someone older or of higher status, it is necessary to cover your mouth. Do not refill the glass if there is still alcohol left." The input is formatted information, and the output is text in natural language format.

[1091] Step 9: Emotion Recognition

[1092] The device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if it determines that the user is stressed, that information is sent to the server. The input is the user's emotion data, and the output is the transmission of emotion information to the server.

[1093] Step 10: Display Adjustment

[1094] The server adjusts the display format and content of the generated text information based on the results of the emotion engine. For example, if the user is feeling stressed, the server adds an encouraging message such as "Relax and enjoy yourself." The input is the analysis result of the emotion engine, and the output is the adjusted text information.

[1095] Step 11: Send Information

[1096] The server sends the final text information to the user's terminal. The input is the edited text information, and the output is the transmission of information to the user's terminal.

[1097] Step 12: Information Display

[1098] The terminal displays the received information to the user in a visually easy-to-understand format. For example, important information is highlighted with bold text or color. Input is text information sent from the server, and output is the information displayed for the user to view.

[1099] (Application Example 2)

[1100] 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."

[1101] A system that provides timely and accurate information on culture and manners essential when visiting different regions and countries is extremely important. However, conventional systems have not taken into account the user's emotional state when providing information. As a result, there was a challenge in that it was difficult for users to easily understand and receive appropriate cultural information without feeling confused or stressed.

[1102] 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. In this invention, the server includes means for the user to input keywords related to the name of the country or culture to be entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for passing the obtained information to a generative AI to generate text information in natural language format, means for transmitting the generated text information to a user terminal and displaying it, means for analyzing the user's emotions, and means for adjusting the generated text information based on the analyzed emotion information. This makes it possible to provide cultural customs of the region or country the user is visiting in real time and to provide information that takes into account the user's emotional state.

[1103] A "user terminal" is an electronic device used by a user to directly operate or receive information.

[1104] A "server" is a computing system used for collecting, analyzing, storing, and providing information.

[1105] "Generative AI" is an artificial intelligence technology that generates text information in natural language format based on input data.

[1106] "Natural language text information" refers to written information provided in a format that is easy for users to understand.

[1107] "Means of analyzing emotions" refers to a system that analyzes the user's facial expressions, voice, or text input to determine their emotional state.

[1108] A "database" is a collection of information used to store and manage acquired information about culture and manners.

[1109] A "search query" is a set of search criteria used to retrieve specific information from a database.

[1110] This invention relates to a navigation system for autonomous vehicles that appropriately provides users with information on the culture and manners related to their destination, and further analyzes the user's emotions to adjust the information accordingly. This system includes a user terminal, a server, a generative AI, a database, and an emotion engine.

[1111] Hardware and software configuration

[1112] The user terminal is a device integrated into the navigation system of an autonomous vehicle, including a display, speakers, cameras, and microphones. The server functions as a central processing unit, collecting, analyzing, storing, and providing information. The generative AI has natural language processing capabilities and generates user-friendly text information based on data obtained from the database. The emotion engine analyzes the user's facial expressions and voice to determine their emotional state.

[1113] Data processing and data calculation

[1114] The server periodically collects the latest information on culture and manners from external sources and stores it in a database. This information is organized by category and easily searchable using search queries. When a user enters a destination into the navigation system, the server generates a search query based on this information and extracts relevant cultural and manners information. The extracted information is converted into natural language text by a generative AI. During this process, redundant parts are removed, and only the points important to the user are extracted. Finally, an emotion engine analyzes the user's facial expressions and voice input and adjusts the text information according to their emotions. For example, if the user is feeling stressed, a message encouraging relaxation will be added.

[1115] Specific example

[1116] For example, if a user enters "Japan, Tokyo, Asakusa" as their destination into the navigation system, the server generates a search query such as "Asakusa AND Culture AND Manners" and retrieves relevant information from the database. The generative AI generates specific text information such as, "In Asakusa, it is customary to remove your shoes before entering temples." If the emotion engine determines that the user is feeling stressed, it adds a message such as, "Please relax and enjoy yourself." The adjusted information is then presented to the user through the navigation system's display and speakers.

[1117] Example of a prompt

[1118] "Please provide information about culture and manners in Japan, Tokyo, and Asakusa. If users are confused, please add helpful explanations."

[1119] Thus, the present invention can provide optimal support to the user in a navigation system for an autonomous vehicle. This allows the user to confidently adapt to the culture and customs of their destination.

[1120] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1121] Step 1:

[1122] The user enters a destination into the navigation system. The user inputs information such as "Japan, Tokyo, Asakusa," and the terminal receives this information. This information becomes the basic data for subsequent processing.

[1123] Step 2:

[1124] The server generates a search query based on the destination information it receives. The entered destination information, "Japan, Tokyo, Asakusa," is converted into a search query such as "Asakusa AND Culture AND Manners." This query then serves as the input for subsequent data exploration.

[1125] Step 3:

[1126] The server searches the database using the generated search query. The database contains information about the culture and manners of each region and country. Based on the search query, it extracts relevant information. For example, it might retrieve information such as "In Asakusa, you take off your shoes before entering a temple."

[1127] Step 4:

[1128] The server passes the acquired information to a generative AI, which generates text information in natural language format. The generative AI then uses this information to generate easy-to-understand sentences. In this case, specific information such as "In Asakusa, it is customary to remove your shoes before entering a temple" is generated.

[1129] Step 5:

[1130] The device's camera and microphone are used to analyze the user's emotions. The device uses an emotion engine to analyze the user's facial expressions and voice to determine whether the user is experiencing stress. This analysis result becomes adjustment data for subsequent processing.

[1131] Step 6:

[1132] The server adjusts the text information generated based on the analyzed emotional data. For example, if the user is feeling stressed, it might add a message such as, "Please relax and enjoy yourself." This ensures that information is generated that is appropriate to the user's emotional state.

[1133] Step 7:

[1134] The server then sends the final generated text information to the terminal. The terminal receives this information and presents it to the user through the navigation display or voice assistant. For example, the navigation system's display might show, "In Asakusa, it is customary to remove your shoes before entering temples. Please relax and enjoy your visit."

[1135] The above outlines the specific processing steps of the system program that implements the application example.

[1136] 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.

[1137] 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.

[1138] 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.

[1139] [Fourth Embodiment]

[1140] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1141] 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.

[1142] 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).

[1143] 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.

[1144] 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.

[1145] 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).

[1146] 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.

[1147] 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.

[1148] 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.

[1149] 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.

[1150] 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.

[1151] 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.

[1152] 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".

[1153] This invention is a system for quickly and accurately acquiring information on different cultures and manners and providing it to users. The following describes a detailed embodiment of the system of this invention.

[1154] System Overview

[1155] This system allows users to search for information about the country and culture they are being entertained by, and provides them with information to take appropriate action based on that information. Its main components include user terminals, servers, generative AI, and databases.

[1156] Program execution steps

[1157] Information gathering and database updates

[1158] Information gathering (server):

[1159] The server periodically accesses reliable databases and APIs to collect the latest information on culture and manners. For example, it retrieves information from external cultural information websites and databases provided by government agencies. Using APIs enables automated information collection.

[1160] Database storage (server):

[1161] The collected information is analyzed and stored in a database, categorized (e.g., drinking etiquette, dining etiquette). The server replaces old information with new information, keeping the database up-to-date.

[1162] User input and information retrieval

[1163] User input (user):

[1164] Users enter keywords from their device related to the country they are being entertained in or a specific culture. For example, they might enter information such as "drinking etiquette in Korea" or "Islamic eating customs."

[1165] Search query generation (server):

[1166] The server receives user input and generates a search query. For example, it generates a query in the format "Korea AND drinking AND manners" and prepares it for a database search.

[1167] Database search and information retrieval

[1168] Database search (server):

[1169] Using the generated query, the server searches the database for the relevant information. If multiple matching entries exist, the information is sorted based on its relevance.

[1170] Information retrieval (server):

[1171] The information retrieved from the database is temporarily stored and prepared to be passed on to the generative AI.

[1172] Information generation and provision using generative AI

[1173] Information formatting (server):

[1174] The server preprocesses the acquired information and formats it into a form that can be easily used by generative AI. This includes extracting important points and removing redundant parts.

[1175] Natural language text generation (generative AI):

[1176] The formatted information is passed to a generative AI, which generates easily understandable text in natural language format. For example, it might generate specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it."

[1177] Information transmission and display (server and terminal):

[1178] The generated text information is sent from the server to the user's terminal and displayed on the terminal. The user can then take appropriate action based on this information.

[1179] Specific example

[1180] In the case of entertaining clients in South Korea

[1181] 1. User input:

[1182] The user types "Korean hospitality manners" into their device.

[1183] 2. Generate search queries and retrieve information:

[1184] The server generates a query for "Korea AND hospitality AND manners," searches the database, retrieves the relevant information, and passes it to the generation AI.

[1185] 3. Information generation and display:

[1186] The generative AI generates text information such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it," and the server sends and displays this information on the user's device.

[1187] Thus, the present invention makes it possible to quickly obtain information on different cultures and manners and to support appropriate behavior.

[1188] The following describes the processing flow.

[1189] Step 1: Information Gathering

[1190] The server regularly accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. It automatically collects the necessary data using APIs and scraping techniques.

[1191] Step 2: Database Storage

[1192] The server analyzes the collected information, classifies it by category (e.g., drinking etiquette, dining etiquette), and stores it in a database. If there is outdated information, it is updated with the latest information.

[1193] Step 3: User Input

[1194] The user enters keywords related to the country being hosted or its culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[1195] Step 4: Generate search queries

[1196] The server receives user input and generates a search query based on it. For example, it might create a query like "Korea AND drinking AND manners".

[1197] Step 5: Database Search

[1198] The server searches the database using the generated search query. If multiple matching entries are found, they are sorted based on relevance or update date.

[1199] Step 6: Information Acquisition

[1200] The server retrieves the relevant information from the search results and stores it temporarily.

[1201] Step 7: Information Formatting

[1202] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. It extracts important points and removes unnecessary parts.

[1203] Step 8: Generate text in natural language format

[1204] The server passes the formatted information to a generative AI, instructing it to generate easily understandable text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is customary to cover your mouth when drinking alcohol with someone older or of higher status."

[1205] Step 9: Send Information

[1206] The generated text information is sent from the server to the user's terminal.

[1207] Step 10: Information Display

[1208] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information.

[1209] Through these steps, users can quickly and accurately obtain the necessary information about the culture and manners of the person they are entertaining, and take appropriate action.

[1210] (Example 1)

[1211] 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".

[1212] In today's global society, it is essential to quickly and accurately understand different cultures and customs and to act appropriately. However, obtaining detailed information about the manners and customs of different cultural spheres is difficult, and much of the information is scattered across the internet, making it time-consuming and laborious to collect and organize the necessary information. Therefore, there is a need for a system that allows users to efficiently obtain accurate and specific information about particular countries and cultures and to support appropriate behavior.

[1213] 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.

[1214] In this invention, the server includes means for the user to input keywords related to the country or culture to be entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for classifying and analyzing the obtained information and pre-processing the necessary parts, means for passing the pre-processed information to a generative AI to generate text information in natural language format, and means for transmitting and displaying the generated text information on the user's terminal. This enables the user to quickly obtain the latest and most accurate etiquette information regarding a specific country or culture and take appropriate action.

[1215] A "user" is an individual or group that uses the system to search for and obtain information about different countries and cultures.

[1216] A "server" is a computer system that collects, analyzes, organizes, and stores information in a database.

[1217] "Keywords related to the country or culture of the country being entertained" are strings or phrases that the user enters to indicate information they want to ask about a specific country or culture.

[1218] A "search query" is a set of instructions generated to search for relevant information within a database based on keywords entered by the user.

[1219] A "database" is a collection of digital information in which collected information about culture and manners is organized and stored.

[1220] "Generative AI" refers to artificial intelligence systems that generate text in natural language format based on pre-processed data.

[1221] "Natural language text information" refers to information that has been converted into a user-friendly text format by a generative AI.

[1222] A "terminal" is an electronic device (e.g., a PC or smartphone) that a user uses to access a system and input or retrieve information.

[1223] "External sources" refer to publicly available information on the internet and government databases that the system uses to collect information about culture and manners.

[1224] "Natural language processing" refers to artificial intelligence technology that analyzes and generates text data and converts it into a format that is easy for users to understand.

[1225] This invention is a system for quickly and accurately acquiring information on different cultures and manners and providing it to users. The system includes user terminals, a server, a generative AI, and a database as its main components.

[1226] The server has the functions of information gathering, data analysis, database storage, search query generation, information formatting, text generation using generative AI, and information transmission to user terminals. The server periodically collects information from reliable external sources (e.g., cultural information sites on the internet and government agency databases). Web crawler tools (e.g., Scrapy) and API calling tools (e.g., Postman) are used for this information gathering.

[1227] The server analyzes the collected data, categorizes it, and stores it in a database. Database management systems such as MySQL or PostgreSQL are used for the database. For example, the server uses natural language processing tools (e.g., NLTK or spaCy) to eliminate duplicate and inconsistent information and select only reliable data.

[1228] The user enters keywords related to the country or culture of the country they are entertaining (e.g., "drinking etiquette in Korea") from their PC or smartphone. The entered information is received by the server, and a search query is generated. The generated search query (e.g., "Korea AND drinking AND etiquette") is issued to the database as an SQL statement.

[1229] The server retrieves relevant information from the database, extracts key points, and preprocesses and formats the data by removing unnecessary information. Text cleaning tools (e.g., Regexp, NLTK) are used during this preprocessing stage.

[1230] The formatted information is passed to a generative AI (e.g., OpenAI GPT-3) and generated as natural language text. For example, specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill the glass if there is still alcohol left," is generated.

[1231] The generated text information is sent from the server to the user's terminal and displayed on the terminal's screen. For example, the user can view the displayed information through a web browser and take appropriate action based on it.

[1232] As a concrete example, if a user enters "Korean hospitality etiquette" into their device, the server generates a search query "Korea AND hospitality AND etiquette" and searches the database. It then retrieves the relevant information and passes it to a generative AI to generate text such as "In Korea, when drinking alcohol with superiors, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol remaining," and displays this text on the user's device.

[1233] By implementing this invention, users can quickly obtain the latest and most accurate information about different cultures and manners, and take appropriate action based on that information.

[1234] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1235] Step 1: User Input

[1236] The user enters keywords related to the country or culture they are being entertained from their device. Specifically, the user accesses the system's application or website using their PC or smartphone and enters a specific prompt, such as "drinking etiquette in Korea," into a text box. Based on the input data, the user's query is generated.

[1237] Step 2: Generate search queries

[1238] The server receives user input and generates a search query based on that input. For example, if a user enters "drinking etiquette in Korea," the server converts this input data into a search query in the format "Korea AND drinking AND etiquette." This query is used to search for relevant information in the database.

[1239] Step 3: Database Search

[1240] The server uses the generated search query to retrieve the relevant information from the database. The server issues SQL statements to the database management system (e.g., MySQL or PostgreSQL) to extract the relevant information. For example, it might execute a query for "Korea AND drinking AND manners" to retrieve the relevant entries. The retrieved data would include specific examples and advice regarding drinking manners in Korea.

[1241] Step 4: Data Classification and Analysis

[1242] The server classifies and analyzes the data obtained as search results. This includes extracting key points and removing redundant parts. The server uses natural language processing tools (e.g., NLTK and spaCy) to analyze the content of the data and reconstruct it as needed. For example, it might divide the information into categories such as "drinking etiquette in casual relationships" and "drinking etiquette in business settings."

[1243] Step 5: Information Formatting

[1244] The analyzed information is preprocessed before being passed to the generative AI. The server uses text cleaning tools (e.g., Regexp, NLTK) to organize the data into a format that is easy for the generative AI to use. This includes standardizing the format and removing unnecessary symbols. The preprocessed data includes specific points such as, "In Korea, it is polite to cover your mouth when drinking alcohol with someone of higher status."

[1245] Step 6: Text generation using generative AI

[1246] The server passes the pre-processed data to a generative AI model (e.g., OpenAI GPT-3) to generate natural language text. The generative AI then uses the received data to generate user-friendly text. For example, it might generate text such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol remaining."

[1247] Step 7: Information Submission and Display

[1248] The generated text information is sent from the server to the user's device. The server sends the generated text to the user's device via an HTTP request (e.g., a RESTful API). The user's device displays the received information on its screen. For example, the generated specific etiquette information is displayed in an easy-to-read format on the user's web browser. The user can then take appropriate action based on this information.

[1249] This process allows users to quickly obtain the latest and most accurate information about different cultures and customs, and to take appropriate action based on that information.

[1250] (Application Example 1)

[1251] 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".

[1252] Providing appropriate service to customers from diverse cultural backgrounds is a crucial challenge for virtual stores. However, a lack of knowledge about the culture and customs of each region can make customer service difficult. Therefore, there is a need for technology to quickly and accurately acquire information on the culture and customs of each country or region and to provide appropriate service.

[1253] 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.

[1254] In this invention, the server includes means for the user to input keywords related to the region or culture to be served; means for generating a search query based on the input information; means for obtaining relevant information from a database using the search query; means for passing the obtained information to a generative artificial intelligence to generate text information in natural language format; means for transmitting and displaying the generated text information on the user's electronic device; and means for providing appropriate methods for responding to customers with different cultural backgrounds. This makes it possible to provide customer service that takes cultural backgrounds into consideration, even in virtual stores.

[1255] A "user" refers to an individual or legal entity that uses this system to search for information and obtain information related to culture and manners.

[1256] "Target of interaction" refers to people from other countries or cultures that the user must interact with, or the culture to which those people belong.

[1257] "Region" refers to a geographical area where a particular culture or set of manners exists.

[1258] "Culture" refers to a collection of customs, beliefs, and behavioral norms within a particular region or society.

[1259] A "keyword" refers to an important phrase that a user enters into the system to search for specific information.

[1260] A "search query" refers to a set of instructions generated from keywords entered by the user to search for information within a database.

[1261] A "database" refers to a collection of information that stores and organizes information about culture and manners in a searchable format.

[1262] "Generative artificial intelligence" refers to artificial intelligence technology that generates text information in natural language format based on acquired information.

[1263] "Natural language text information" refers to information expressed in everyday language that has been generated to be easily understood by users.

[1264] "Electronic devices" refer to devices used by users, such as computers, smartphones, and tablets.

[1265] "Different cultural backgrounds" refers to the different customs and behavioral norms held by the people who interact with the user.

[1266] "Appropriate customer service" refers to correct customer service and communication methods that are based on the customer's cultural background.

[1267] This invention is a system for providing appropriate responses to customers with diverse cultural backgrounds. The system aims to generate and provide appropriate cultural and etiquette information based on user input.

[1268] System Configuration

[1269] The system consists of the following elements:

[1270] 1. User terminal:

[1271] A device used by users to input information and view generated text information. Specifically, this includes electronic devices such as smartphones, computers, and tablets.

[1272] 2. Server:

[1273] It plays a central role in database searching and generative artificial intelligence processing.

[1274] 3. Database:

[1275] This section contains information on culture and manners. The information is regularly collected from external sources and updated to the latest status.

[1276] 4. Generative Artificial Intelligence:

[1277] Based on the information provided by the server, natural language text information is generated.

[1278] Explanation of the processing procedure

[1279] Information gathering and database updates

[1280] The server periodically accesses reliable external databases and APIs to collect the latest information on culture and manners. This includes gathering information from external cultural information websites and databases provided by government agencies. Using APIs enables automated information collection. The collected information is analyzed, categorized (e.g., drinking etiquette, dining etiquette), and stored in the latest database.

[1281] User input and information retrieval

[1282] The user enters keywords related to the region or culture they are serving from their terminal. For example, they might enter information such as "customer service in China." The server receives the user's input and generates a search query. For example, it might generate a query in the format of "China AND customer service AND manners" and prepares it for a database search.

[1283] Database search and information retrieval

[1284] Using the generated query, the server searches the database for the relevant information. If multiple matching entries exist, the information is sorted based on its relevance. The information retrieved from the database is temporarily stored and then passed to the generative artificial intelligence.

[1285] Information generation and provision using generative artificial intelligence.

[1286] The server preprocesses the acquired information and formats it into a form that can be easily used by generative artificial intelligence. This includes extracting important points and removing redundant parts. The formatted information is then passed to the generative AI and generated as easily understandable text in natural language format. For example, specific advice such as, "In China, it is polite to bow when greeting customers. Also, it is standard practice to hand over goods with both hands," may be generated. The generated text information is sent from the server to the user's terminal and displayed on the terminal.

[1287] Specific example

[1288] For customer service in China:

[1289] 1. User input:

[1290] The user enters "Customer support in China" into their terminal.

[1291] 2. Generate search queries and retrieve information:

[1292] The server generates a query for "China AND customer service AND manners," searches the database, retrieves the relevant information, and passes it to the generative artificial intelligence.

[1293] 3. Information generation and display:

[1294] The generative artificial intelligence generates the text information, "In China, it is customary to bow when greeting customers. Also, it is standard practice to hand over goods with both hands," and the server sends and displays this text on the user's terminal.

[1295] Example of a prompt:

[1296] "Please tell me how to handle customer service in China."

[1297] This invention enables customer service that takes cultural background into account, even in virtual stores, thereby improving customer satisfaction.

[1298] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1299] Step 1: User Input

[1300] Specific operation: The user enters keywords related to the region or culture being served from their device (smartphone, computer, tablet, etc.). For example, they might enter "customer service in China."

[1301] Input: Keywords related to the region or culture of the target area.

[1302] Output: User input data

[1303] Step 2: Generate search queries

[1304] Specific operation: The server receives user input and generates a search query based on it. For example, it generates a query in the format "China AND customer service AND manners".

[1305] Input: User input data

[1306] Output: Generated search query

[1307] Step 3: Database Search

[1308] Specific operation: The server uses the generated search query to retrieve relevant information from the database. It retrieves multiple relevant pieces of information and sorts them based on their relevance.

[1309] Input: Generated search query

[1310] Output: List of related information

[1311] Step 4: Information Preprocessing

[1312] Specific operation: The server preprocesses the acquired information and formats it into a form that can be easily used by generative artificial intelligence. It extracts important points and removes redundant parts.

[1313] Input: List of related information

[1314] Output: Formatted information

[1315] Step 5: Generate text information

[1316] Specific operation: The server passes formatted information to a generative artificial intelligence, which then generates text information in natural language format. For example, it might generate text information such as, "In China, it is customary to bow when greeting customers. Also, it is standard practice to hand over goods with both hands."

[1317] Input: Formatted information

[1318] Output: Generated natural language text information

[1319] Step 6: Send and display text information

[1320] Specific operation: The server sends the generated text information to the user's terminal. The terminal displays the received text information on its screen.

[1321] Input: Generated natural language text information

[1322] Output: Display of text information on the user terminal

[1323] This series of steps enables users to provide customer service that takes cultural backgrounds into account, even in virtual stores, thereby improving customer satisfaction.

[1324] 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.

[1325] This invention provides a system that quickly and accurately acquires information on different cultures and manners and provides it to users. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it achieves optimal information display for the user. The following describes a detailed embodiment of the system of this invention.

[1326] System Overview

[1327] This system includes a user terminal, a server, a generative AI, a database, and an emotion engine. When the user enters the name of the country being hosted or related cultural keywords from the terminal, the system automatically generates and provides appropriate information to the user. Furthermore, the emotion engine recognizes the user's emotions and adjusts the display format and content of the information accordingly.

[1328] Program execution steps

[1329] Information gathering and database updates

[1330] Information gathering (server):

[1331] The server periodically accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. The information obtained is collected via APIs.

[1332] Database storage (server):

[1333] The collected information is analyzed by the server, classified into categories (e.g., drinking etiquette, dining etiquette), and stored in a database. The server updates old information with new information, keeping the database constantly up-to-date.

[1334] User input and information retrieval

[1335] User input (user):

[1336] Users enter keywords related to the country they are being entertained or a specific culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[1337] Search query generation (server):

[1338] The server receives user input and generates a search query based on it. For example, it might create a query like "Korea AND drinking AND manners".

[1339] Database search and information retrieval

[1340] Database search (server):

[1341] The server uses the generated query to search the database. If multiple matching entries are found, they are sorted based on relevance or update date.

[1342] Information retrieval (server):

[1343] The server retrieves the relevant information from the search results and stores it temporarily.

[1344] Information generation and provision using generative AI

[1345] Information formatting (server):

[1346] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. This includes extracting important points and removing redundant parts.

[1347] Natural language text generation (generative AI):

[1348] The formatted information is passed to a generative AI, which generates easily understandable text in natural language format. For example, it might generate specific advice such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill a glass if there is still alcohol left in it."

[1349] Emotion recognition and display adjustment using an emotion engine.

[1350] Emotion recognition (emotion engine):

[1351] When a user inputs data, the device's emotion engine recognizes the user's emotions by analyzing their facial expressions, voice tone, and text input. For example, if it determines that the user is stressed, it provides that information to the server.

[1352] Display adjustment (server):

[1353] Based on the results of the emotion engine, the server adjusts the display format and content of the text information generated by the generative AI. For example, if the user is feeling stressed, it adds encouraging or comforting messages.

[1354] Information transmission and display

[1355] Information transmission (server):

[1356] The generated text information is sent from the server to the user's terminal.

[1357] Information display (terminal):

[1358] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information.

[1359] Specific example

[1360] In the case of entertaining clients in South Korea

[1361] 1. User input:

[1362] The user types "Korean hospitality manners" into their device.

[1363] 2. Generate search queries and retrieve information:

[1364] The server generates a query for "Korea AND hospitality AND manners," searches the database, retrieves the relevant information, and passes it to the generation AI.

[1365] 3. Information generation and display adjustment:

[1366] The generative AI generates text information such as, "In Korea, when drinking alcohol with someone of higher status, it is necessary to cover your mouth. Also, do not refill the glass if there is still alcohol left." If the emotion engine determines that the user is feeling stressed, the server adds an encouraging message such as, "Please relax and enjoy yourself."

[1367] 4. Information transmission and display:

[1368] The server sends the final information to the user's terminal, which then displays it to the user.

[1369] Thus, the present invention provides optimal support to users by quickly and accurately acquiring information on different cultures and manners, and further by displaying information appropriately according to the user's emotions.

[1370] The following describes the processing flow.

[1371] Step 1: Information Gathering

[1372] The server periodically accesses reliable external sources (e.g., cultural information websites, government databases) to obtain the latest information on culture and manners. This includes automated data collection via APIs.

[1373] Step 2: Database Storage

[1374] The server analyzes the collected information, classifies it by category (e.g., drinking etiquette, dining etiquette), and stores it in a database. It updates outdated information with newer information as needed.

[1375] Step 3: User Input

[1376] Users enter keywords related to the country they are being entertained or a specific culture from their device. For example, they might enter "drinking etiquette in Korea" or "Islamic eating customs."

[1377] Step 4: Generate search queries

[1378] The server receives user input and generates a search query based on that information. For example, it might generate a query in the format "Korea AND drinking AND manners".

[1379] Step 5: Database Search

[1380] The server searches the database using the generated search query. If multiple matching entries are found, they are sorted based on relevance or update date.

[1381] Step 6: Information Acquisition

[1382] The server retrieves the relevant information from the search results and stores it temporarily.

[1383] Step 7: Information Formatting

[1384] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. This process includes extracting important points and removing redundant parts.

[1385] Step 8: Generate text in natural language format

[1386] The server passes the formatted information to a generative AI, instructing it to generate easily understandable text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is customary to cover your mouth when drinking alcohol with someone older or of higher status."

[1387] Step 9: Emotion Recognition

[1388] When a user inputs data, the device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if it determines that the user is stressed, it provides that information to the server.

[1389] Step 10: Display Adjustment

[1390] The server adjusts the display format and content of the generated text information based on the user's emotional information obtained from the emotion engine. For example, if the user is feeling stressed, it adds an encouraging message such as, "Please relax and enjoy yourself."

[1391] Step 11: Send Information

[1392] The generated text information is sent from the server to the user's terminal.

[1393] Step 12: Information Display

[1394] The device displays the received information to the user in a visually easy-to-understand format. For example, it uses bold text and color to highlight important information. It also changes the display format to one that is relaxing for the user.

[1395] Through this process, users can quickly and accurately obtain necessary information about the culture and manners of the person they are entertaining, and receive appropriate support tailored to their emotions.

[1396] (Example 2)

[1397] 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".

[1398] It is difficult to quickly and accurately acquire and provide users with information about different cultures and customs. Furthermore, displaying information while considering the user's emotions is also a challenge. This can lead to a failure to improve the quality of the user experience and a decrease in satisfaction with how information is received.

[1399] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for the user to input keywords related to the country name or culture of the country being entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for passing the obtained information to a generative AI to generate text information in natural language format, means for transmitting and displaying the generated text information on the user's terminal, emotion recognition means for recognizing the user's emotions, and means for adjusting the display format and content of the text information based on the emotion recognition means. This enables the rapid and accurate acquisition of information related to different cultures and manners, and further enables the display of appropriate information according to the user's emotions.

[1400] A "user" refers to a person who uses an information system.

[1401] "Keywords related to the country or culture of the target of the hospitality" refers to words or phrases related to a specific country or culture that the user enters for the purpose of hospitality or cultural understanding.

[1402] A "search query" refers to a string of characters or commands generated based on user input to identify information within a database.

[1403] A "database" refers to a collection of information in which information about culture and manners is stored in a structured manner.

[1404] "Generative AI" refers to artificial intelligence systems that generate text information in natural language format based on input information.

[1405] "Natural language text information" refers to text information written in a language that is easy for humans to understand, output by generative AI.

[1406] "User's device" refers to an electronic device (e.g., a smartphone or computer) used by a user to input information and view outputted information.

[1407] "Emotion recognition means" refers to technologies that analyze and identify emotions from a user's facial expressions, voice tone, text input, etc.

[1408] "Means for adjusting display format and content" refers to a mechanism for changing the format and content of displayed information according to the user's emotions.

[1409] "External sources" refer to external sources of information that provide information on culture and manners (e.g., cultural information websites or government databases).

[1410] "Analysis" refers to the process of organizing collected information and analyzing it in detail for understanding and classification.

[1411] "Customization" refers to applying and adjusting information and services according to the user's specific needs and preferences.

[1412] This invention is a system that quickly and accurately acquires information on different cultures and manners and provides it to the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it achieves information display that is optimal for the user. The details of embodiments of this invention are described below.

[1413] System Configuration

[1414] This system includes user terminals, servers, generative AI, databases, and emotion engines.

[1415] 1. User terminal: An electronic device used by a user to input information and view results. Specific examples include smartphones and computers.

[1416] 2. Server: A central computer that manages the entire system and collects and processes information.

[1417] 3. Generative AI: This is an artificial intelligence system that generates text information in natural language format based on input information. For example, natural language generation models such as GPT-3 fall into this category.

[1418] 4. Database: A collection of information that stores information about culture and manners.

[1419] 5. Emotion Engine: This is a technology for recognizing emotions from the user's facial expressions, voice tone, and text input.

[1420] System operation

[1421] 1. Information gathering (server):

[1422] The server periodically accesses external sources (e.g., cultural information websites and government databases) to retrieve the latest information on culture and manners via APIs. The retrieved information is analyzed, categorized, and stored in the database.

[1423] 2. User input (User):

[1424] The user enters keywords related to the country being hosted or a specific culture from their device. For example, they might enter "Korean hospitality etiquette."

[1425] 3. Search query generation (server):

[1426] The server generates search queries based on user input. For example, it might create a query like "Korea AND hospitality AND manners".

[1427] 4. Database search and information retrieval (server):

[1428] The server uses the generated query to search the database and retrieve the relevant information. The search results are sorted based on relevance and update date and temporarily stored.

[1429] 5. Information formatting and generation (server):

[1430] The acquired information is preprocessed to extract important information and remove redundant parts. The formatted information is then passed to a generative AI, which generates text information in natural language format. For example, it might generate specific advice such as, "In Korea, it is common to cover your mouth when drinking alcohol with someone older or of higher status. If there is still alcohol left in the glass, do not refill it."

[1431] 6. Emotion recognition and display adjustment (emotion engine and server):

[1432] When a user inputs data, the device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if the system determines that the user is stressed, this information is sent to the server, which then adjusts the display format and content of the generated text information. For instance, it might add an encouraging message such as, "Please relax and enjoy yourself."

[1433] 7. Information transmission and display (server and terminal):

[1434] The server sends the final text information to the user's terminal, which then displays it to the user in a visually easy-to-understand format. For example, important information can be highlighted with bold text or color.

[1435] Specific example

[1436] In the case of entertaining clients in South Korea

[1437] 1. User input (User):

[1438] The user types "Korean hospitality manners" into their device.

[1439] 2. Search query generation (server):

[1440] The server generates a query for "Korea AND hospitality AND manners," searches the database, and retrieves the relevant information.

[1441] 3. Information generation and display adjustment (server and sentiment engine):

[1442] The generative AI generates text information such as, "In Korea, it is common to cover your mouth when drinking alcohol with someone older or of higher status. Also, please relax and enjoy yourself." If the emotion engine determines that the user is feeling stressed, it adds an encouraging message.

[1443] 4. Information transmission and display (server and terminal):

[1444] The server sends the final information to the user's terminal, which then displays it to the user.

[1445] By combining these steps, this invention enables the rapid and accurate acquisition of information on different cultures and manners, and further realizes the display of information appropriately according to the user's emotions.

[1446] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1447] Step 1: Information Gathering

[1448] The server periodically accesses external sources (e.g., cultural information websites or government databases) and retrieves the latest information on culture and manners via APIs. It then analyzes the retrieved information and categorizes it (e.g., drinking etiquette, dining etiquette). The input is information collected from external sources, and the output is the storage of the categorized information in a database.

[1449] Step 2: Database Storage

[1450] The server stores the analyzed information in a database, categorized by type. The database is kept up-to-date by deleting old information and adding new information. The input is the analyzed information, and the output is the updated database.

[1451] Step 3: User Input

[1452] The user enters keywords related to the country or culture being entertained from their terminal. For example, they might enter "Korean hospitality etiquette." The input is a keyword specified by the user, and the output is the transmission of that keyword to the server.

[1453] Step 4: Generate search queries

[1454] The server generates a search query based on user input. For example, it might create a query like "Korea AND hospitality AND manners". The input is the user's keywords, and the output is the generated search query.

[1455] Step 5: Database Search

[1456] The server uses the generated query to search the database for the relevant information. If there are multiple search results, they are sorted based on relevance or update date. The input is the generated search query, and the output is the sorted search results.

[1457] Step 6: Information Acquisition

[1458] The server retrieves relevant information from the search results and stores it temporarily. For example, information such as "In Korea, when drinking alcohol with someone of higher status, it is customary to cover your mouth." The input is the sorted search results, and the output is the temporarily stored information.

[1459] Step 7: Information Formatting

[1460] The server preprocesses the acquired information and formats it into a format that is easy for generative AI to use. Specifically, it extracts important information and removes redundant parts. The input is the acquired information, and the output is the formatted information.

[1461] Step 8: Generate text in natural language format

[1462] The formatted information is passed to a generative AI, which generates it as text in natural language format. For example, it might generate advice such as, "In Korea, when drinking alcohol with someone older or of higher status, it is necessary to cover your mouth. Do not refill the glass if there is still alcohol left." The input is formatted information, and the output is text in natural language format.

[1463] Step 9: Emotion Recognition

[1464] The device's emotion engine analyzes the user's facial expressions, voice tone, and text input to recognize their emotions. For example, if it determines that the user is stressed, that information is sent to the server. The input is the user's emotion data, and the output is the transmission of emotion information to the server.

[1465] Step 10: Display Adjustment

[1466] The server adjusts the display format and content of the generated text information based on the results of the emotion engine. For example, if the user is feeling stressed, the server adds an encouraging message such as "Relax and enjoy yourself." The input is the analysis result of the emotion engine, and the output is the adjusted text information.

[1467] Step 11: Send Information

[1468] The server sends the final text information to the user's terminal. The input is the edited text information, and the output is the transmission of information to the user's terminal.

[1469] Step 12: Information Display

[1470] The terminal displays the received information to the user in a visually easy-to-understand format. For example, important information is highlighted with bold text or color. Input is text information sent from the server, and output is the information displayed for the user to view.

[1471] (Application Example 2)

[1472] 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".

[1473] A system that provides timely and accurate information on culture and manners essential when visiting different regions and countries is extremely important. However, conventional systems have not taken into account the user's emotional state when providing information. As a result, there was a challenge in that it was difficult for users to easily understand and receive appropriate cultural information without feeling confused or stressed.

[1474] 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. In this invention, the server includes means for the user to input keywords related to the name of the country or culture to be entertained, means for generating a search query based on the input information, means for obtaining relevant information from a database using the search query, means for passing the obtained information to a generative AI to generate text information in natural language format, means for transmitting the generated text information to a user terminal and displaying it, means for analyzing the user's emotions, and means for adjusting the generated text information based on the analyzed emotion information. This makes it possible to provide cultural customs of the region or country the user is visiting in real time and to provide information that takes into account the user's emotional state.

[1475] A "user terminal" is an electronic device used by a user to directly operate or receive information.

[1476] A "server" is a computing system used for collecting, analyzing, storing, and providing information.

[1477] "Generative AI" is an artificial intelligence technology that generates text information in natural language format based on input data.

[1478] "Natural language text information" refers to written information provided in a format that is easy for users to understand.

[1479] "Means of analyzing emotions" refers to a system that analyzes the user's facial expressions, voice, or text input to determine their emotional state.

[1480] A "database" is a collection of information used to store and manage acquired information about culture and manners.

[1481] A "search query" is a set of search criteria used to retrieve specific information from a database.

[1482] This invention relates to a navigation system for autonomous vehicles that appropriately provides users with information on the culture and manners related to their destination, and further analyzes the user's emotions to adjust the information accordingly. This system includes a user terminal, a server, a generative AI, a database, and an emotion engine.

[1483] Hardware and software configuration

[1484] The user terminal is a device integrated into the navigation system of an autonomous vehicle, including a display, speakers, cameras, and microphones. The server functions as a central processing unit, collecting, analyzing, storing, and providing information. The generative AI has natural language processing capabilities and generates user-friendly text information based on data obtained from the database. The emotion engine analyzes the user's facial expressions and voice to determine their emotional state.

[1485] Data processing and data calculation

[1486] The server periodically collects the latest information on culture and manners from external sources and stores it in a database. This information is organized by category and easily searchable using search queries. When a user enters a destination into the navigation system, the server generates a search query based on this information and extracts relevant cultural and manners information. The extracted information is converted into natural language text by a generative AI. During this process, redundant parts are removed, and only the points important to the user are extracted. Finally, an emotion engine analyzes the user's facial expressions and voice input and adjusts the text information according to their emotions. For example, if the user is feeling stressed, a message encouraging relaxation will be added.

[1487] Specific example

[1488] For example, if a user enters "Japan, Tokyo, Asakusa" as their destination into the navigation system, the server generates a search query such as "Asakusa AND Culture AND Manners" and retrieves relevant information from the database. The generative AI generates specific text information such as, "In Asakusa, it is customary to remove your shoes before entering temples." If the emotion engine determines that the user is feeling stressed, it adds a message such as, "Please relax and enjoy yourself." The adjusted information is then presented to the user through the navigation system's display and speakers.

[1489] Example of a prompt

[1490] "Please provide information about culture and manners in Japan, Tokyo, and Asakusa. If users are confused, please add helpful explanations."

[1491] Thus, the present invention can provide optimal support to the user in a navigation system for an autonomous vehicle. This allows the user to confidently adapt to the culture and customs of their destination.

[1492] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1493] Step 1:

[1494] The user enters a destination into the navigation system. The user inputs information such as "Japan, Tokyo, Asakusa," and the terminal receives this information. This information becomes the basic data for subsequent processing.

[1495] Step 2:

[1496] The server generates a search query based on the destination information it receives. The entered destination information, "Japan, Tokyo, Asakusa," is converted into a search query such as "Asakusa AND Culture AND Manners." This query then serves as the input for subsequent data exploration.

[1497] Step 3:

[1498] The server searches the database using the generated search query. The database contains information about the culture and manners of each region and country. Based on the search query, it extracts relevant information. For example, it might retrieve information such as "In Asakusa, you take off your shoes before entering a temple."

[1499] Step 4:

[1500] The server passes the acquired information to a generative AI, which generates text information in natural language format. The generative AI then uses this information to generate easy-to-understand sentences. In this case, specific information such as "In Asakusa, it is customary to remove your shoes before entering a temple" is generated.

[1501] Step 5:

[1502] The device's camera and microphone are used to analyze the user's emotions. The device uses an emotion engine to analyze the user's facial expressions and voice to determine whether the user is experiencing stress. This analysis result becomes adjustment data for subsequent processing.

[1503] Step 6:

[1504] The server adjusts the text information generated based on the analyzed emotional data. For example, if the user is feeling stressed, it might add a message such as, "Please relax and enjoy yourself." This ensures that information is generated that is appropriate to the user's emotional state.

[1505] Step 7:

[1506] The server then sends the final generated text information to the terminal. The terminal receives this information and presents it to the user through the navigation display or voice assistant. For example, the navigation system's display might show, "In Asakusa, it is customary to remove your shoes before entering temples. Please relax and enjoy your visit."

[1507] The above outlines the specific processing steps of the system program that implements the application example.

[1508] 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.

[1509] 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.

[1510] 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.

[1511] 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.

[1512] 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.

[1513] 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.

[1514] 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.

[1515] 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.

[1516] 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."

[1517] 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.

[1518] 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.

[1519] 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.

[1520] 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.

[1521] 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.

[1522] 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.

[1523] 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.

[1524] 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.

[1525] 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.

[1526] 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.

[1527] 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.

[1528] 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.

[1529] The following is further disclosed regarding the embodiments described above.

[1530] (Claim 1)

[1531] A means for the user to enter keywords related to the country or culture of the country being entertained,

[1532] A means for generating a search query based on the input information,

[1533] A means for obtaining relevant information from a database using the aforementioned search query,

[1534] A means for passing the acquired information to a generative AI and generating text information in natural language format,

[1535] A means for transmitting the generated text information to the user's terminal and displaying it,

[1536] A system that includes this.

[1537] (Claim 2)

[1538] The system according to claim 1, wherein the database includes means for periodically collecting and updating information on culture and manners from external sources.

[1539] (Claim 3)

[1540] The system according to claim 1, wherein the generative AI has a natural language processing function for generating text information in a format that is easy for the user to understand.

[1541] "Example 1"

[1542] (Claim 1)

[1543] A means for the user to enter keywords related to the country or culture of the country being entertained,

[1544] A means for generating a search query based on the input information,

[1545] A means for obtaining relevant information from a database using the aforementioned search query,

[1546] The means for classifying and analyzing the acquired information and preprocessing the necessary parts,

[1547] A means for passing the pre-processed information to a generative AI and generating text information in natural language format,

[1548] A means for transmitting the generated text information to the user's terminal and displaying it,

[1549] A system that includes this.

[1550] (Claim 2)

[1551] The system according to claim 1, wherein the database includes means for periodically collecting and updating information on culture and manners from external sources.

[1552] (Claim 3)

[1553] The system according to claim 1, wherein the generative AI has a natural language processing function for generating text information in a format that is easy for the user to understand.

[1554] "Application Example 1"

[1555] (Claim 1)

[1556] A means for the user to enter keywords related to the region or culture of the service to be provided,

[1557] A means for generating a search query based on the input information,

[1558] A means for obtaining relevant information from a database using the aforementioned search query,

[1559] A means for passing the acquired information to a generative artificial intelligence system to generate text information in natural language format,

[1560] Means for transmitting and displaying the generated text information on the user's electronic device,

[1561] Means to provide appropriate ways to deal with customers from different cultural backgrounds,

[1562] A system that includes this.

[1563] (Claim 2)

[1564] The system according to claim 1, wherein the database includes means for periodically collecting and updating information on culture and manners from external sources.

[1565] (Claim 3)

[1566] The system according to claim 1, wherein the generative artificial intelligence has a natural language processing function for generating text information in a format that is easy for the user to understand.

[1567] "Example 2 of combining an emotion engine"

[1568] (Claim 1)

[1569] A means for the user to enter keywords related to the country or culture of the country being entertained,

[1570] A means for generating a search query based on the input information,

[1571] A means for obtaining relevant information from a database using the aforementioned search query,

[1572] A means for passing the acquired information to a generative AI and generating text information in natural language format,

[1573] A means for transmitting the generated text information to the user's terminal and displaying it,

[1574] A means of recognizing the user's emotions,

[1575] Means for adjusting the display format and content of text information based on the aforementioned emotion recognition means,

[1576] A system that includes this.

[1577] (Claim 2)

[1578] The system according to claim 1, wherein the database includes means for periodically collecting and updating information on culture and manners from external sources.

[1579] (Claim 3)

[1580] The system according to claim 1, wherein the generative AI has a natural language processing function for generating text information in a format that is easy for the user to understand.

[1581] "Application example 2 of combining emotional engines"

[1582] (Claim 1)

[1583] A means for the user to enter keywords related to the country or culture of the country being entertained,

[1584] A means for generating a search query based on the input information,

[1585] A means for obtaining relevant information from a database using the aforementioned search query,

[1586] A means for passing the acquired information to a generative AI and generating text information in natural language format,

[1587] The means for transmitting and displaying the generated text information on a user terminal,

[1588] A means of analyzing user emotions,

[1589] Means for adjusting the generated text information based on the analyzed emotional information,

[1590] A system that includes this.

[1591] (Claim 2)

[1592] The system according to claim 1, wherein the database includes means for periodically collecting and updating information on culture and manners from external sources.

[1593] (Claim 3)

[1594] The system according to claim 1, wherein the generative AI has a natural language processing function for generating text information in a format that is easy for the user to understand. [Explanation of Symbols]

[1595] 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 for the user to enter keywords related to the country or culture of the country being entertained, A means for generating a search query based on the input information, A means for obtaining relevant information from a database using the aforementioned search query, A means for passing the acquired information to a generative AI and generating text information in natural language format, A means for transmitting the generated text information to the user's terminal and displaying it, A system that includes this.

2. The system according to claim 1, wherein the database includes means for periodically collecting and updating information on culture and manners from external sources.

3. The system according to claim 1, wherein the generative AI has a natural language processing function for generating text information in a format that is easy for the user to understand.

Images