system

Abstract

Provide a system. A means for a user to input authentication information; a means by which the server receives authentication information and performs authentication; a means by which the server receives and analyzes the search query; A means for the server to call the API and perform web crawling; a means by which the server organizes the collected data; A means for the server to format and return search results to the user; a means for the server to delete session information and search logs; A system including:

Description

[Technical Field]

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

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

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

[0004] In modern companies, the search and collection of internal documents and external information is dispersed, making centralized information management difficult and creating a need for efficient information search. Furthermore, from the perspective of security and privacy protection, companies want no information to remain after searches or crawling. However, existing systems face the challenge of making it difficult to meet these requirements. [Means for solving the problem]

[0005] The present invention provides a means for a user to input authentication information, and for the server to receive and execute authentication. It also includes a means for the server to analyze the received search query, perform web crawling by calling an API, and organize the collected data. It also includes a means for formatting search results and returning them to the user. Additionally, the server includes a means for appropriately deleting session information and search logs. This provides a system that achieves centralized information management and improved security.

[0006] "User" refers to an end user who accesses and operates the system.

[0007] "Authentication Information" refers to information used to identify and grant access to a user, such as a username and password.

[0008] "Server" refers to a computer system that processes requests, manages data, and provides other services.

[0009] "Search query" refers to a search keyword or phrase entered by a user when conducting a search.

[0010] "Analysis" refers to the process of breaking down given data or information to understand its content.

[0011] "API" stands for Application Program Interface, and refers to the definitions and protocols that allow software to interact with one another.

[0012] "Web crawling" refers to the process of automatically gathering information on the Internet.

[0013] "Organizing data" refers to the process of categorizing acquired data and converting it into a structured format.

[0014] "Formatting" refers to the process of converting data or information into a format that is easy for users to view.

[0015] "Session information" refers to data including a user's status and operation history that is maintained during the user's access period.

[0016] "Search log" refers to historical information such as search queries and their execution results.

[0017] An "internal document database" refers to a database system for managing and searching documents and files within a company.

[0018] "Synthesis" refers to the process of bringing together data from multiple sources into a single unified format or structure. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0020] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0021] First, the terms used in the following description will be explained.

[0022] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0023] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0024] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0025] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0026] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0030] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0031] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0032] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0033] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0034] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0037] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0038] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0039] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0040] This invention is a system that allows users to easily search for a variety of information and centrally manage in-house documents and information on the Web. Specific program processing of the system is described below.

[0041] Program processing overview

[0042] 1. User Authentication

[0043] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[0044] 2. Search Request

[0045] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[0046] 3. Web crawling

[0047] The server sends the parsed query to the Azure® OpenAI® API, which then collects information from the internet based on the query. The server receives the information and extracts and organizes only the necessary data.

[0048] 4. Search for internal documents (optional)

[0049] If necessary, the server also sends the same query to an internal document database, searches for relevant documents from the database, and organizes the retrieved documents.

[0050] 5. Integration and display of results

[0051] The server integrates the results of web crawling with the search results for internal documents. The integrated results are formatted for the user's convenience. The server then sends the formatted data back to the terminal, which then displays the results to the user.

[0052] 6. Deleting Session Information and Logs

[0053] After the search process is completed, the server will properly delete the session information and search log, so that no information remains in the system and security and privacy are protected.

[0054] Specific examples

[0055] 1. User Login Example

[0056] User: Tanaka accesses the company's system and enters his ID and password on the login page.

[0057] Terminal: Sends the entered information to the server.

[0058] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[0059] 2. Example Search Request

[0060] User: Anna types the keywords "latest technology trends" into the search bar and clicks the "Search" button.

[0061] Terminal: Sends the entered query to the server.

[0062] Server: Parses the query and prepares it for execution.

[0063] 3. Web Crawling Example

[0064] Server: Calls Azure OpenAI's API and searches the internet for information on the "latest technology trends."

[0065] Server: Organizes the information obtained and selects only the data that is useful to the user.

[0066] 4. Example of displaying integrated results

[0067] Server: Checks with internal documents and consolidates relevant information.

[0068] Server: Formats the integrated results into a user-friendly format (e.g., HTML) and sends them to the device.

[0069] Device: Display the search results so that Tanaka can check them.

[0070] 5. Examples of information deletion

[0071] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[0072] Server: Verify that the deletion is complete and protect user privacy.

[0073] The processing flow will be explained below.

[0074] Step 1:

[0075] The user accesses the system's login page from a terminal.

[0076] Step 2:

[0077] The user enters their username and password on the login page and clicks the "Login" button.

[0078] Step 3:

[0079] The terminal sends the entered username and password to the server.

[0080] Step 4:

[0081] The server checks the authentication information it receives against a database to verify the user's existence and the validity of the password.

[0082] Step 5:

[0083] When authentication is successful, the server generates a new session ID and returns it to the terminal.

[0084] Step 6:

[0085] The terminal displays a successful authentication message and allows the user to access the dashboard.

[0086] Step 7:

[0087] A user enters a keyword or phrase they want to search for in the search bar on their dashboard and clicks the "Search" button.

[0088] Step 8:

[0089] The terminal transmits the entered search query to the server.

[0090] Step 9:

[0091] The server analyzes the received search query and prepares to execute the search.

[0092] Step 10:

[0093] The server calls the Azure OpenAI API and collects information on the Internet based on the parsed query.

[0094] Step 11:

[0095] The server receives the information obtained from Azure OpenAI and extracts and organizes the necessary data.

[0096] Step 12:

[0097] The server also compares the organized data with an internal document database to find relevant documents (optional).

[0098] Step 13:

[0099] The server combines the results of web crawling and internal document search results into a single list.

[0100] Step 14:

[0101] The server formats the combined search results in a user-friendly format.

[0102] Step 15:

[0103] The server returns the formatted search results to the device.

[0104] Step 16:

[0105] The terminal displays the received search results to the user.

[0106] Step 17:

[0107] The user checks the search results and uses the information they need.

[0108] Step 18:

[0109] After the server completes the search process, it properly deletes the session information and search log.

[0110] Step 19:

[0111] The server verifies that the deletion is complete and ensures that there is no residual data.

[0112] Example 1

[0113] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0114] Conventional systems make it difficult for users to quickly and efficiently search for and centrally manage diverse information. Furthermore, they lacked the functionality to integrate web information with internal company documents, making user operation less convenient. Furthermore, the privacy and security measures for search results were insufficient. To address these issues, a system was needed that made information search and management easy, while also ensuring security and privacy.

[0115] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0116] In this invention, the server includes means for a user to input authentication information, means for a terminal to send the authentication information to the server, means for the server to receive the authentication information and perform authentication, means for the server to generate a session for the user, means for a user to input a search query, means for the terminal to send the search query to the server, means for the server to analyze the search query, means for the server to call an API and perform information collection, means for the server to organize the collected data, means for the server to format search results and return them to the user, and means for the server to delete the session information and search log. This allows users to search and manage a variety of information quickly and efficiently, and enables safe system use with security and privacy ensured.

[0117] "Authentication information" is information such as a username and password entered to verify a user's identity.

[0118] A "terminal" is a device, such as a computer or smartphone, that a user uses to access the system.

[0119] A "server" is a central computer system that receives user authentication information, analyzes search queries, and collects information.

[0120] A "session" is an ID that uniquely identifies a series of operations from when a user logs in to when they log out of the system.

[0121] A "search query" is a keyword or phrase that a user types into a search bar.

[0122] "API" means the application programming interface that the server uses to communicate with other software or services.

[0123] "Information gathering" is the process by which the server obtains the necessary data from external services and databases.

[0124] "Data reduction" is the process of examining collected data and converting it into a form that is useful to the user.

[0125] A "search result" is a collection of information retrieved and formatted based on a user's search query.

[0126] A "search log" is a record of a user's search activity, data that is later used for analysis and troubleshooting.

[0127] This invention is a system that allows users to search for and efficiently manage a variety of information. This system includes a series of processes from inputting authentication information to displaying search results and deleting session information and search logs.

[0128] Hardware and Software Configuration

[0129] This system uses the following hardware and software:

[0130] 1. Hardware

[0131] Terminal: The device a user uses to access the system, including computers, smartphones, tablets, etc.

[0132] Server: A central computer system that performs user authentication, database lookup, query analysis, information collection, data reduction, result integration, data formatting, and management of session information and search logs.

[0133] 2. Software

[0134] Database management system: A database system for managing user information and internal documents, such as MySQL (registered trademark).

[0135] Generative AI model: An API for collecting information from the web. Specifically, the Azure OpenAI API is used.

[0136] Natural Language Processing Library: A library for parsing search queries. Use a natural language processing library for Python (e.g., nltk, spacy, etc.).

[0137] HTML template engine: An engine for formatting search results. Examples include Jinja2.

[0138] System Operation Overview

[0139] This system starts when a user accesses the system from a terminal and enters a search query. The specific operations of each step are shown below.

[0140] 1. User Authentication

[0141] A user accesses the system from a terminal and enters a username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks it against a database. If authentication is successful, the server generates a new session ID and returns it to the user.

[0142] 2. Processing a search request

[0143] After authentication, the user accesses the dashboard and enters the keywords they want to search for in the search bar. The device then sends the query to the server, which analyzes it and prepares it for execution. Specifically, it uses a natural language processing library to tokenize the query and extract key keywords.

[0144] 3. Web crawling

[0145] The server sends the parsed query to the API (Azure OpenAI) of the generative AI model. Azure OpenAI collects information from the internet based on the query and returns it in JSON format. The server receives this information, extracts and organizes the necessary data, and filters the scraping results to remove unnecessary information.

[0146] 4. Search for internal documents (optional)

[0147] Optionally, the server also sends the same query to an internal document database, which searches for relevant documents and returns their metadata and content. The server then analyzes the document content and extracts important sections and keywords.

[0148] 5. Integration and display of results

[0149] The server integrates the results of web crawling with the search results for internal documents, formats these data using an HTML template engine, and returns them to the terminal, which then displays the formatted search results to the user.

[0150] 6. Deleting Session Information and Logs

[0151] After the search process is complete, the server deletes the session information and search logs appropriately, clearing the specific session ID and associated log entries from the database and rechecking the deleted data.

[0152] Examples of concrete examples and prompts

[0153] 1. Specific Examples

[0154] A user searches for the keyword "latest technology trends" and relevant information is displayed within a few seconds.

[0155] Users can search for and quickly access last year's annual report from company documents.

[0156] 2. Examples of prompts

[0157] "Find information on the latest technology trends"

[0158] "Please find last year's annual report in our internal documents."

[0159] The system described above allows users to efficiently search and manage a wide variety of information, while also enabling safe use of the system with security and privacy assured.

[0160] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0161] Step 1:

[0162] User Authentication

[0163] A user accesses the system from a terminal and enters a username and password on the login page. The terminal sends the entered authentication information to the server. When the server receives the authentication information, it checks the username and password against the database. Specifically, the server queries the database using an SQL query to obtain user information and confirms that the password matches. If authentication is successful, the server generates a new session ID and returns it to the terminal. This session ID is used to identify subsequent user operations.

[0164] Input: Username, Password

[0165] Output: Session ID

[0166] Step 2:

[0167] Receiving a search request

[0168] After successful authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the entered search query to the server, which then analyzes the received query. Specifically, it uses a natural language processing library to tokenize the query and extract the main keywords.

[0169] Input: Search query

[0170] Output: Parsed query

[0171] Step 3:

[0172] Web crawling execution

[0173] The server sends the parsed query to the API (Azure OpenAI) of the generative AI model. Specifically, the query is sent using an HTTP request to collect relevant information on the Internet. Azure OpenAI collects information on the Internet based on the query and returns the results in JSON format. The server receives the results and extracts and organizes only the necessary data. Unnecessary information is filtered out.

[0174] Input: Parsed query

[0175] Output: Data collected from the web (JSON format)

[0176] Step 4:

[0177] Search for internal documents

[0178] Optionally, the server also queries the internal document database with the same query. The server executes the SQL query to find relevant documents. The database returns the relevant document metadata and content. The server parses the document content and extracts important sections and keywords.

[0179] Input: Parsed query

[0180] Output: Search results from the company's internal document database

[0181] Step 5:

[0182] Integrating and formatting the results

[0183] The server integrates the results of web crawling with the search results for internal documents. The server integrates the data from each source and aggregates it into a single dataset. This dataset is formatted using an HTML template engine (e.g., Jinja2) into a format that is easy for users to view. This allows the search results to be displayed in a way that is easy for users to understand.

[0184] Input: Data collected from the web, search results from internal document databases

[0185] Output: Formatted search results (HTML format)

[0186] Step 6:

[0187] Displaying search results

[0188] The server sends the formatted search results to the terminal. The terminal displays the search results to the user. The user can view the results page in their browser and obtain the information they need. For example, if a user searches for the keyword "latest technology trends," related technical articles and internal company documents will be displayed all at once.

[0189] Input: Formatted search results (HTML format)

[0190] Output: The search results page that the user sees

[0191] Step 7:

[0192] Deleting session information and logs

[0193] Once the search process is complete, the server deletes the session information and search logs. The specific session ID and its associated log entries are removed from the database to protect the user's privacy. After the deletion, the server outputs a completion log to confirm that all information has been properly deleted.

[0194] Input: Terminated session ID, search log

[0195] Output: Deletion log

[0196] This allows users to quickly and efficiently search and manage a wide range of information, while ensuring security and privacy.

[0197] (Application example 1)

[0198] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0199] In today's information search systems, it is extremely difficult for users to obtain the information they need from a variety of sources in a unified manner. In particular, there is a lack of mechanisms for providing integrated information from internal databases and external Internet sources, forcing users to conduct searches individually. This situation can lead to information being overlooked, reduced search efficiency, and business slowdowns. Furthermore, the lack of an intuitive user interface for smart devices makes it difficult for users to quickly obtain the information they need.

[0200] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0201] In this invention, the server includes means for a user to input authentication information, means for the server to receive the authentication information and perform authentication, means for the server to receive and analyze a search query, means for the server to call an API and perform web crawling, means for the server to organize collected data, means for the server to format search results and return them to the user, means for the server to delete session information and search logs, means for providing a user interface using a smart device, and means for integrating and providing data from an internal database and external information sources. This allows users to obtain a variety of information in a unified and efficient manner, thereby improving work efficiency.

[0202] "Means for users to input authentication information" refers to means for providing an interface for users to input authentication information such as ID and password required when accessing the system.

[0203] The "means by which the server receives authentication information and performs authentication" refers to the means by which the server receives authentication information sent from the user and performs a process to verify its validity.

[0204] The "means by which the server receives and analyzes the search query" refers to the means by which the server receives the search query entered by the user, analyzes it, and prepares for search processing.

[0205] "Means by which a server calls an API to perform web crawling" refers to means by which a server executes a process to automatically collect information on the Internet through an API.

[0206] "Means for organizing data collected by the server" refers to the means for organizing and classifying information obtained from web crawling and internal databases, and converting it into meaningful data.

[0207] The "means by which the server formats the search results and returns them to the user" refers to the means by which the server formats the organized search results into a format that is easy for the user to view and provides them to the user.

[0208] The "means for the server to delete the session information and search log" refers to the means for the server to appropriately delete the session information and search history after the search process is completed.

[0209] "Means for providing a user interface using a smart device" refers to means for providing an interface that allows a user to operate a system through a smart device such as a smartphone or tablet.

[0210] "Means for integrating and providing data from an internal database and external information sources" refers to a means by which a server integrates data collected from an internal database and external information sources and provides the data to users in a centralized manner.

[0211] The present invention provides a system that allows users to easily search for a variety of information and centrally manage in-house documents and information on the Web. A specific embodiment of this system will be described below.

[0212] 1. User Authentication

[0213] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[0214] 2. Search Request

[0215] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[0216] 3. Web crawling and internal document search

[0217] The server uses the parsed query to call the API of a generative AI model (e.g., Azure OpenAI) to collect information from the Internet. The server also sends the same query to an internal document database to search for relevant documents. The server receives the retrieved information and organizes the data.

[0218] 4. Integration and display of results

[0219] The server integrates the results of web crawling with the search results for internal documents. The integrated results are formatted for the user's convenience. The server then sends the formatted data back to the terminal, which then displays the results to the user.

[0220] 5. Deleting session information and logs

[0221] After the search process is completed, the server will properly delete the session information and search logs, ensuring that no information remains in the system and protecting security and privacy.

[0222] Case studies

[0223] User Login Example

[0224] A user accesses the system and enters their ID and password. For example, if Mr. Tanaka wants to log in to a company system, he uses his smartphone to enter his ID and password on the login page to access the system.

[0225] Product search example

[0226] A user enters the keyword "latest technology trends" in the search bar and clicks the "Search" button. For example, let's imagine a situation where Mr. Tanaka enters the keyword "latest technology trends" to gather information.

[0227] Example of displaying the integration results

[0228] The server aggregates relevant information from the web and internal databases and displays it to the user. For example, the integrated data is displayed in an easy-to-read format on a terminal so that Mr. Tanaka can check the search results.

[0229] Examples of information deletion

[0230] After the search is completed, the server deletes the session information and search log to protect the user's privacy. For example, after the search process is completed, Tanaka's session information and search log are deleted.

[0231] Prompt Sentence Examples

[0232] "Mr. Tanaka accesses the app from his smartphone and logs in by entering his ID and password."

[0233] "Tanaka types 'latest tech trends' into the app's search bar and presses the search button."

[0234] "The app aggregates relevant information from the web and our internal database and displays it to Tanaka."

[0235] "After the search is completed, the app will delete the session information and search logs to protect Tanaka's privacy."

[0236] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0237] Step 1: User authentication

[0238] A user accesses the system from a terminal and enters a username and password on the login page. The entered information (username and password) is sent from the terminal to the server. The server compares the received authentication information with a database to verify the user's existence and the validity of the password. If authentication is successful, the server generates a new session ID and returns it to the terminal. This allows the user to access other functions of the system.

[0239] Step 2: Search Request

[0240] After successful authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the entered search query to the server, which analyzes the received query and prepares to determine from which sources data should be collected.

[0241] Step 3: Web Crawling

[0242] The server uses the parsed query to call the API of the generative AI model (e.g., Azure OpenAI) and collect relevant information from the Internet. This process involves crawling web pages corresponding to the query and extracting the required information. The server temporarily stores the retrieved data and organizes it for later processing.

[0243] Step 4: Search for internal documents

[0244] Using the same query, the server also searches the company's internal document database, retrieves relevant documents from the database, and organizes the data for each. This step covers existing documents and documents within the company.

[0245] Step 5: Consolidating the results

[0246] The server combines the results of web crawling with the internal document search results. This combines relevant information, removes duplicate data, and formats the results to bring the most relevant information to the top. The combined results are then converted into a user-friendly format (e.g., HTML).

[0247] Step 6: View the results

[0248] The server returns the formatted search results to the device, which then displays them to the user, who can then check the information displayed on their smartphone or other device.

[0249] Step 7: Delete session information and logs

[0250] After the search process is complete, the server will properly delete the session information and search log. This ensures that no information remains in the system, protecting security and privacy. The server will confirm that the process is complete and notify the user.

[0251] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0252] This invention is a system that allows users to search for a variety of information efficiently and centrally, and combines it with an emotion engine that recognizes the user's emotions to provide more intuitive and personalized search results. Specific program processing of the system is described below.

[0253] Program processing overview

[0254] 1. User Authentication

[0255] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[0256] 2. Search Request

[0257] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[0258] 3. Utilizing the Emotion Engine

[0259] The emotion engine analyzes users' typing behavior and reactions while browsing search results. The emotion engine analyzes users' facial expressions, tone of voice, typing speed, etc. in real time to recognize their emotional state. For example, if a user is in a hurry, they may want quicker and more concise information.

[0260] 4. Web Crawling

[0261] The server sends the parsed query to Azure OpenAI's API, which then collects information from the internet based on the query. The server then receives the information and extracts and organizes only the necessary data.

[0262] 5. Search for internal documents (optional)

[0263] If necessary, the server also sends the same query to an internal document database, searches for relevant documents from the database, and organizes the retrieved documents.

[0264] 6. Integration and display of results

[0265] The server combines the results of web crawling with those from internal documents. The combined results are optimized based on feedback from the emotion engine. For example, if the user expresses dissatisfaction, it presents more specific information and multiple options. The server then returns the formatted data to the device, which then displays the results to the user.

[0266] 7. Deleting Session Information and Logs

[0267] After the search process is completed, the server will properly delete the session information and search log, so that no information remains in the system and security and privacy are protected.

[0268] Specific examples

[0269] 1. User Login Example

[0270] User: Mr. Sato accesses the company's system and enters his ID and password on the login page.

[0271] Terminal: Sends the entered information to the server.

[0272] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[0273] 2. Example Search Request

[0274] User: Sam enters the keywords "latest medical technology" into the search bar and clicks the "Search" button.

[0275] Terminal: Sends the entered query to the server.

[0276] Server: Parses the query and prepares it for execution.

[0277] 3. Example of an Emotion Engine

[0278] Emotion engine: The emotion engine analyzes Sato's input actions and facial expressions, and if it recognizes an emotion such as being in a hurry, it sends feedback to the server.

[0279] Server: Based on your feedback, we optimize search results for speed.

[0280] 4. Web Crawling Example

[0281] Server: Calls the Azure OpenAI API and searches the internet for information about the latest medical technology.

[0282] Server: Organizes the information obtained and selects only the data that is useful to the user.

[0283] 5. Example of displaying integrated results

[0284] Server: Cross-references internal documents and consolidates relevant information.

[0285] Server: Optimizes the integrated results based on the feedback from the emotion engine and sends them to the device.

[0286] Device: Display the search results so that Sato can check them.

[0287] 6. Examples of information deletion

[0288] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[0289] Server: Verify that the deletion is complete and protect user privacy.

[0290] The processing flow will be explained below.

[0291] Step 1:

[0292] A user accesses the system's login page using a terminal.

[0293] Step 2:

[0294] The user enters their username and password on the login page and clicks the "Login" button.

[0295] Step 3:

[0296] The terminal sends the entered username and password to the server.

[0297] Step 4:

[0298] The server checks the authentication information it receives against a database to verify the user's existence and the validity of the password.

[0299] Step 5:

[0300] When authentication is successful, the server generates a new session ID and returns it to the terminal.

[0301] Step 6:

[0302] The terminal displays a successful authentication message and allows the user to access the dashboard.

[0303] Step 7:

[0304] A user enters a keyword or phrase they want to search for in the search bar on their dashboard and clicks the "Search" button.

[0305] Step 8:

[0306] The terminal transmits the entered search query to the server.

[0307] Step 9:

[0308] The server analyzes the received search query and prepares to execute the search.

[0309] Step 10:

[0310] The server calls the emotion engine and analyzes the user's input behavior and reactions when viewing search results.

[0311] Step 11:

[0312] The emotion engine analyzes the user's facial expressions, tone of voice, input speed, etc. in real time to recognize the user's emotional state.

[0313] Step 12:

[0314] The emotion engine sends the user's emotional state as feedback to the server.

[0315] Step 13:

[0316] The server calls the Azure OpenAI API and collects information on the Internet based on the parsed query.

[0317] Step 14:

[0318] The server receives the information obtained from Azure OpenAI, extracts the necessary data, and organizes it.

[0319] Step 15:

[0320] The server also sends the same query to an internal document database to search for related documents (optional).

[0321] Step 16:

[0322] The server integrates the results of web crawling with the search results for internal documents.

[0323] Step 17:

[0324] The server optimizes the integrated search results based on feedback from the emotion engine.

[0325] Step 18:

[0326] The server formats the optimized search results in a user-friendly format.

[0327] Step 19:

[0328] The server returns the formatted search results to the device.

[0329] Step 20:

[0330] The terminal displays the received search results to the user.

[0331] Step 21:

[0332] The user checks the search results and uses the information they need.

[0333] Step 22:

[0334] After the server completes the search process, it properly deletes the session information and search log.

[0335] Step 23:

[0336] The server verifies that the deletion is complete and ensures that there is no residual data.

[0337] Example 2

[0338] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0339] Conventional search systems have difficulty quickly and accurately providing the information users are looking for, and are particularly unable to provide results that reflect the user's emotional state. From the perspectives of security and privacy, it is also a challenge to properly manage session information and search logs. Furthermore, it has been difficult to efficiently collect and organize large amounts of data and present them in a unified manner.

[0340] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for a user to input authentication information, a means for the server to receive the authentication information and perform authentication, a means for the server to receive and analyze a search query, a means for the server to analyze input actions and facial expressions and recognize the user's emotions, a means for the server to call an API and perform web crawling, a means for the server to organize collected data, a means for the server to integrate the analysis information and emotion recognition results, format search results, and return them to the user, and a means for the server to delete session information and search logs. This enables the provision of more intuitive and personalized search results according to the user's emotions. Furthermore, efficient and centralized information collection and presentation can be achieved while protecting security and privacy.

[0341] "User" refers to the entity that operates the system and obtains information, and refers to an individual or corporation that primarily uses a computer to use the system.

[0342] "Authentication Information" means the unique identification information a user uses to access a system, typically consisting of a username and password.

[0343] A "server" refers to a computer or a collection of software that accepts requests from users, executes processing, and returns results.

[0344] A "search query" is a keyword or phrase that a user enters into a system, and refers to input data that identifies the information the user wants to retrieve through a search.

[0345] An "emotion engine" refers to a software or hardware system that analyzes a user's input actions and facial expressions in real time and recognizes the user's emotional state.

[0346] "API" stands for Application Programming Interface, and refers to an interface for linking data and functions between different software.

[0347] "Web crawling" refers to the process of automatically collecting and organizing information on the Internet.

[0348] "Data" refers to all information obtained as search results, and can range from text, images, audio, and more.

[0349] A "session" refers to a certain period of time during which a user interacts with a system, and includes identification information for temporarily retaining the user's actions and state.

[0350] A "search log" refers to historical information about search operations performed by a user, including the query and the time of acquisition of search results.

[0351] "Organizing" refers to the process of arranging and classifying collected data based on specific rules or algorithms.

[0352] "Integration" refers to the process of combining information obtained from multiple data sources into a single entity and managing and displaying it in a centralized manner.

[0353] "Security" refers to the protection of systems and data, including technologies and controls used to prevent unauthorized access and data breaches.

[0354] "Privacy" refers to protecting the confidentiality of personal information and user data and restricting access by unauthorized parties.

[0355] "Computer" refers to an electronic device for processing digital information, and the hardware used to realize this system.

[0356] This invention is a system that allows users to search for a variety of information efficiently and centrally, and combines it with an emotion engine that recognizes the user's emotions to provide more intuitive and personalized search results.

[0357] The system includes the following major hardware and software components:

[0358] Hardware:

[0359] Computers: Servers and user terminals

[0360] Camera: A device for capturing the user's facial expressions

[0361] software:

[0362] Database: Manages user authentication information and search logs

[0363] Sentiment analysis software: OpenCV, NLTK

[0364] Web crawling API: Azure OpenAI API

[0365] Query parsing software: specific parsing algorithms (e.g., tokenization, stemming)

[0366] Integration Algorithm: Unique algorithm for data integration

[0367] When a user accesses the system, they first enter their authentication information using a terminal. The authentication information is encrypted and sent to the server. The server checks this information against a database, and if authentication is successful, it generates a new session ID and returns it to the user.

[0368] Next, the user enters a search query, for example "latest medical technology," and clicks the search button. The device sends this query to the server, which analyzes the query and uses a specific analysis algorithm to understand its content.

[0369] In parallel, the emotion engine analyzes the user's input actions and facial expressions. For example, it uses OpenCV and NLTK to understand in real time whether the user is in a hurry or relaxed based on the video captured by the camera. This feedback is sent to the server and used to optimize search results.

[0370] The server calls the Azure OpenAI API and performs web crawling based on the search query. For example, it collects data related to the latest medical technology from the Internet and extracts and organizes only the necessary information. This process uses the requests library and Pandas library.

[0371] Additionally, internal documents are searched as needed. The server sends the same query to the internal document database and uses ElasticSearch® to search for relevant documents. The retrieved information is organized, filtered, and summarized.

[0372] Finally, the server combines the results of web crawling with the search results for internal documents and generates optimized search results based on feedback from the emotion engine. The formatted data is sent back to the device and displayed to the user. This display process is performed using HTML and JavaScript (registered trademark).

[0373] After the search process is completed, the server will delete the session information and search logs appropriately, for example, by executing the DELETE command in the MySQL database, which ensures user privacy and security.

[0374] Specific examples

[0375] User login example:

[0376] User: Tanaka accesses the system and enters his ID and password.

[0377] Terminal: Encrypts input information and sends it to the server.

[0378] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[0379] Example search request:

[0380] User: Tanaka types in "latest medical technology" and clicks the "Search" button.

[0381] Terminal: Sends the entered query to the server.

[0382] Server: Parses the query and prepares it for execution.

[0383] Emotion engine example:

[0384] Emotion engine: Analyzes Tanaka's input actions and facial expressions, and sends feedback to the server if he is in a hurry.

[0385] Server: Optimize search results for speed based on feedback.

[0386] Web crawling example:

[0387] Server: Calls the Azure OpenAI API and searches the internet for information about the latest medical technology.

[0388] Server: Organizes the information obtained and selects only the data that is useful to the user.

[0389] Example of how the integration results are displayed:

[0390] Server: Cross-references internal documents and consolidates relevant information.

[0391] Server: Optimizes the integrated results based on the feedback from the emotion engine and sends them to the device.

[0392] Device: Display the search results so that Tanaka can check them.

[0393] Examples of information deletion:

[0394] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[0395] Server: Verify that the deletion is complete and protect user privacy.

[0396] Prompt Sentence Examples

[0397] "To get information about the latest medical technologies, you enter a search query and use a sentiment analysis engine to assess your condition, providing you with better, faster information."

[0398] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0399] Step 1: User authentication

[0400] Input: A user accesses the system from a terminal and enters their username and password on the login page.

[0401] Specific operation: The terminal encrypts the entered username and password using the SSL / TLS protocol.

[0402] Data processing: Encrypted authentication information is sent to the server.

[0403] Output: The server receives the authentication information.

[0404] What happens: The server runs a SELECT query to match the received credentials with a database (e.g. MySQL).

[0405] Step 2: Authentication

[0406] Input: The server retrieves the user's authentication information from the database.

[0407] Data calculation: Compare the username and password with information in a database to ensure they match.

[0408] Output: If authentication is successful, generate a new session ID and return it to the user. If authentication fails, return an error message.

[0409] What happens: If authentication is successful, the server uses the session manager to generate a new session ID.

[0410] Step 3: Enter a search query

[0411] Input: After successful authentication, the user enters a search query, such as "latest medical technology," into the dashboard's search bar.

[0412] Data processing: The device sends the entered query to the server.

[0413] Output: The server receives the search query.

[0414] Specific operation: The server splits the query into tokens and performs processing such as stemming.

[0415] Step 4: Leverage the Emotion Engine

[0416] Input: Obtain user input behavior (keyboard input speed, mouse movement) and facial expression data (camera footage).

[0417] How it works: The emotion engine uses OpenCV and NLTK to perform real-time analysis.

[0418] Data calculation: Recognize the user's emotions based on the analysis results and determine their state (e.g., hurry, relaxed).

[0419] Output: Send feedback to the server according to the emotional state.

[0420] Specific operation: The emotion engine sends the analysis results to the server in JSON format.

[0421] Step 5: Start crawling the web

[0422] Input: The server receives the parsed search query.

[0423] Data calculation: The server calls the Azure OpenAI API to collect information based on the input query.

[0424] Output: Obtain data collected from the internet.

[0425] Specific operation: Sends an API request using Python's requests library.

[0426] Step 6: Data organization

[0427] Input: The server receives the collected data.

[0428] Data processing: Extracting necessary information, filtering and summarizing.

[0429] Output: Keeps the organized data in a structured format.

[0430] What it does: Converts it into a data frame using the Pandas library and removes irrelevant rows and columns.

[0431] Step 7: Search for internal documents

[0432] Input: Submit the same search query to the internal document database.

[0433] Data Computing: Use Elasticsearch to find relevant documents.

[0434] Output: Receives the retrieved internal document data.

[0435] What it does: Executes an Elasticsearch query to get the IDs and contents of the relevant documents.

[0436] Step 8: Integrate and optimize results

[0437] Input: The server receives web crawling results and search results for internal documents.

[0438] Data Calculation: Synthesize and optimize search results based on feedback.

[0439] Output: Consolidated search results data.

[0440] What it does: It applies an integrated algorithm to optimize results based on the user's emotional state.

[0441] Step 9: Viewing search results

[0442] Input: The server sends the optimized search results to the device.

[0443] Data processing: Converting formatted search results into a user-friendly format.

[0444] Output: The final search results that are displayed to the user.

[0445] What it does: Visually displays information using HTML and JavaScript.

[0446] Step 10: Delete information

[0447] Input: The server receives notification that the session has ended.

[0448] Data processing: Delete session information and search logs from the database.

[0449] Output: Deletion completed.

[0450] Specific operation: Executes a MySQL database command (e.g., DELETE FROM sessions WHERE session_id=<session ID>) to delete the information.

[0451] keyword:

[0452] Generative AI model, prompt sentence

[0453] (Application example 2)

[0454] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0455] Conventional search systems have had difficulty providing flexible search results that correspond to the user's emotional state. In particular, when a user is in a hurry or in a particular emotional state, they are unable to quickly obtain optimized information, resulting in a poor user experience. Furthermore, when data is diverse, selecting and filtering information and formatting search results takes time, making it difficult for users to quickly access the information they are looking for.

[0456] The specification process by the specification 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 authentication information, means for the server to receive the authentication information and perform authentication, means for the server to receive and analyze the search query, means for the server to use an emotion engine to analyze the user's emotional information, means for the server to call an API and perform information collection, means for the server to organize the collected data, means for the server to optimize and format search results based on the user's emotional state, means for the server to return the search results to the user, and means for the server to delete session information and search logs. This makes it possible to provide personalized search results according to the user's emotional state.

[0457] "User" refers to a person who accesses the system and enters a search query.

[0458] "Authentication information" refers to information such as a username and password that a user enters when accessing a system.

[0459] A "server" is a central system that receives search queries and authentication information entered by users and performs various processes.

[0460] A "search query" is a keyword or phrase that a user enters into a system to search for specific information.

[0461] "Analysis" means receiving input data or queries, understanding their contents, and processing them.

[0462] The "emotion engine" is a system that analyzes the user's facial expressions, voice tone, input speed, etc. to recognize the user's emotional state.

[0463] "API" stands for Application Programming Interface, an interface that enables communication with external programs and services.

[0464] "Information gathering" refers to obtaining necessary information from the Internet or databases.

[0465] "Organizing" means summarizing the acquired information in a way that is easy for the user to understand.

[0466] "Optimization" means adjusting information to meet the user's needs and providing it in the most optimal format.

[0467] "Formatting" means converting information or data into a usable format.

[0468] "Session information" is information for managing a series of operations and states while a user is accessing the system.

[0469] "Search log" refers to the search history and operation history performed by a user using the system.

[0470] A "database" is a system that allows efficient management of data and enables high-speed search and retrieval.

[0471] A "generative AI model" is a machine learning model that generates new information based on given data.

[0472] A "prompt" is a textual instruction given as input to a generative AI model.

[0473] To implement this invention, the following elements are required:

[0474] 1. User authentication:

[0475] The user enters authentication information (username and password) through the interface of the smart glasses. The smart glasses send the authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, generates session information and returns it to the user.

[0476] 2. Receiving and parsing search requests:

[0477] Users enter search queries using the smart glasses' voice recognition or touch input. The queries are then sent to the server along with an emotion engine that analyzes the user's emotional state. The emotion engine analyzes the user's facial expressions and tone of voice in real time to generate emotion data.

[0478] 3. Use the Emotion Engine:

[0479] The emotion engine analyzes users' typing behavior and reactions as they browse search results. If a user is in a hurry or in a particular emotional state, they may want quicker, more concise information, so it uses emotion data to optimize search results.

[0480] 4. API calls to gather information:

[0481] The server collects information from the internet through the API of Azure's AI model, analyzes and organizes the data, and converts it into a format that is easy for users to understand.

[0482] 5. Search Result Optimization and Display:

[0483] The server optimizes the collected data based on the user's emotional state. For example, if the user is in a hurry, search results will be adjusted to be more concise and quick. The optimized search results are then sent back to the smart glasses and served to the user.

[0484] 6. Delete session information and logs:

[0485] After the search process is completed, the server will properly delete the session information and search log, thereby protecting the user's privacy.

[0486] The primary hardware used includes smart glasses equipped with a camera and microphone, and the primary software used includes the Azure Face API and APIs for generative AI models.

[0487] Examples:

[0488] User authentication example:

[0489] The user enters their ID and password on the login page of the smart glasses. The smart glasses then send the information to the server, which then verifies its validity and generates and returns a session ID.

[0490] Example search request and sentiment engine:

[0491] When a user searches for "latest fashion," the emotion engine recognizes the emotion of impatience. This emotion information is sent along with the search query to the server, which optimizes the information to display results more quickly and concisely.

[0492] Example prompt sentence:

[0493] "Analyze user images to optimize for the search query: 'New summer fashion.' Sentiment data: {'anger': 0.0, 'contempt': 0.0, 'disgust': 0.0, 'fear': 0.0, 'happiness': 0.8, 'neutral': 0.15, 'sadness': 0.0, 'surprise': 0.05}."

[0494] In this way, analyzing the user's emotional state and providing individually optimized search results creates a more comfortable and efficient virtual shopping experience.

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

[0496] Step 1:

[0497] The user enters authentication information (username and password) into the smart glasses.

[0498] Input: Username, Password

[0499] Output: Request with authentication information

[0500] What happens: The user enters their credentials using the smart glasses' touch interface or voice input.

[0501] Step 2:

[0502] The terminal sends authentication information to the server, which then checks it against a database to perform authentication.

[0503] Input: Credentials

[0504] Output: Authentication result (success or failure), session ID (if successful)

[0505] Specific operation: The server checks the submitted authentication information against the database, and if authentication is successful, generates a session ID and returns it to the user.

[0506] Step 3:

[0507] A user enters a search query through the search interface of the smart glasses.

[0508] Input: Search query

[0509] Output: A request containing a search query

[0510] Specific Action: A user enters a specific search query using voice input or a touch interface.

[0511] Step 4:

[0512] The device captures the user's facial expression along with the search query using a camera and sends the image data to the server.

[0513] Input: search query, facial expression image

[0514] Output: A request containing a search query and an expression image

[0515] How it works: The smart glasses' built-in camera captures the user's facial expressions in real time and sends the image data along with the search query to the server.

[0516] Step 5:

[0517] The server analyzes the received facial expression images and recognizes the user's emotional state using an emotion engine.

[0518] Input: facial expression image

[0519] Output: Emotion data

[0520] Specific operation: The server uses the Azure Face API to analyze facial expression images and generate the user's emotional data (e.g., happiness, surprise, sadness, etc.).

[0521] Step 6:

[0522] The server generates optimized prompts based on emotional data and collects information through the API of the generative AI model.

[0523] Input: search query, sentiment data

[0524] Output: Information retrieved from the internet

[0525] How it works: Collect information by sending prompts containing user emotion data to the generative AI model. For example, "Analyze emotions from user images and optimize the following search query: 'New summer fashions.' Emotion data: {'anger': 0.0, 'contempt': 0.0, 'disgust': 0.0, 'fear': 0.0, 'happiness': 0.8, 'neutral': 0.15, 'sadness': 0.0, 'surprise': 0.05}."

[0526] Step 7:

[0527] The server analyzes the information obtained from the generative AI model and optimizes and shapes search results based on the user's emotional state.

[0528] Input: Acquired information, emotional data

[0529] Output: Optimized search results

[0530] Specific operation: The server analyzes the acquired information, optimizes it based on the user's emotional data, and formats it into an easy-to-read format.

[0531] Step 8:

[0532] The server sends the optimized search results to the device, which displays them on the smart glasses.

[0533] Input: Optimized search results

[0534] Output: The results displayed on the terminal

[0535] Specific operation: The server sends the optimized search results to the terminal, which displays the results on the smart glasses.

[0536] Step 9:

[0537] After the server completes the search process, it deletes the session information and search log to protect the user's privacy.

[0538] Input: Processing end status

[0539] Output: Deletion completed status

[0540] What happens: The server verifies and securely deletes session information and search logs.

[0541] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0542] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0543] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0544] [Second embodiment]

[0545] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0546] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0547] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0548] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0549] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0550] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0551] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0552] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0553] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0554] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0555] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0556] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0557] This invention is a system that allows users to easily search for a variety of information and centrally manage in-house documents and information on the Web. Specific program processing of the system is described below.

[0558] Program processing overview

[0559] 1. User Authentication

[0560] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[0561] 2. Search Request

[0562] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[0563] 3. Web crawling

[0564] The server sends the parsed query to Azure OpenAI's API, which then collects information from the internet based on the query. The server then receives the information and extracts and organizes only the necessary data.

[0565] 4. Search for internal documents (optional)

[0566] If necessary, the server also sends the same query to an internal document database, searches for relevant documents from the database, and organizes the retrieved documents.

[0567] 5. Integration and display of results

[0568] The server integrates the results of web crawling with the search results for internal documents. The integrated results are formatted for the user's convenience. The server then sends the formatted data back to the terminal, which then displays the results to the user.

[0569] 6. Deleting Session Information and Logs

[0570] After the search process is completed, the server will properly delete the session information and search log, so that no information remains in the system and security and privacy are protected.

[0571] Specific examples

[0572] 1. User Login Example

[0573] User: Tanaka accesses the company's system and enters his ID and password on the login page.

[0574] Terminal: Sends the entered information to the server.

[0575] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[0576] 2. Example Search Request

[0577] User: Anna types the keywords "latest technology trends" into the search bar and clicks the "Search" button.

[0578] Terminal: Sends the entered query to the server.

[0579] Server: Parses the query and prepares it for execution.

[0580] 3. Web Crawling Example

[0581] Server: Calls Azure OpenAI's API and searches the internet for information on the "latest technology trends."

[0582] Server: Organizes the information obtained and selects only the data that is useful to the user.

[0583] 4. Example of displaying integrated results

[0584] Server: Checks with internal documents and consolidates relevant information.

[0585] Server: Formats the integrated results into a user-friendly format (e.g., HTML) and sends them to the device.

[0586] Device: Display the search results so that Tanaka can check them.

[0587] 5. Examples of information deletion

[0588] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[0589] Server: Verify that the deletion is complete and protect user privacy.

[0590] The processing flow will be explained below.

[0591] Step 1:

[0592] The user accesses the system's login page from a terminal.

[0593] Step 2:

[0594] The user enters their username and password on the login page and clicks the "Login" button.

[0595] Step 3:

[0596] The terminal sends the entered username and password to the server.

[0597] Step 4:

[0598] The server checks the authentication information it receives against a database to verify the user's existence and the validity of the password.

[0599] Step 5:

[0600] When authentication is successful, the server generates a new session ID and returns it to the terminal.

[0601] Step 6:

[0602] The terminal displays a successful authentication message and allows the user to access the dashboard.

[0603] Step 7:

[0604] A user enters a keyword or phrase they want to search for in the search bar on their dashboard and clicks the "Search" button.

[0605] Step 8:

[0606] The terminal transmits the entered search query to the server.

[0607] Step 9:

[0608] The server analyzes the received search query and prepares to execute the search.

[0609] Step 10:

[0610] The server calls the Azure OpenAI API and collects information on the Internet based on the parsed query.

[0611] Step 11:

[0612] The server receives the information obtained from Azure OpenAI and extracts and organizes the necessary data.

[0613] Step 12:

[0614] The server also compares the organized data with an internal document database to find relevant documents (optional).

[0615] Step 13:

[0616] The server combines the results of web crawling and internal document search results into a single list.

[0617] Step 14:

[0618] The server formats the combined search results in a user-friendly format.

[0619] Step 15:

[0620] The server returns the formatted search results to the device.

[0621] Step 16:

[0622] The terminal displays the received search results to the user.

[0623] Step 17:

[0624] The user checks the search results and uses the information they need.

[0625] Step 18:

[0626] After the server completes the search process, it properly deletes the session information and search log.

[0627] Step 19:

[0628] The server verifies that the deletion is complete and ensures that there is no residual data.

[0629] Example 1

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

[0631] Conventional systems make it difficult for users to quickly and efficiently search for and centrally manage diverse information. Furthermore, they lacked the functionality to integrate web information with internal company documents, making user operation less convenient. Furthermore, the privacy and security measures for search results were insufficient. To address these issues, a system was needed that made information search and management easy, while also ensuring security and privacy.

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

[0633] In this invention, the server includes means for a user to input authentication information, means for a terminal to send the authentication information to the server, means for the server to receive the authentication information and perform authentication, means for the server to generate a session for the user, means for a user to input a search query, means for the terminal to send the search query to the server, means for the server to analyze the search query, means for the server to call an API and perform information collection, means for the server to organize the collected data, means for the server to format search results and return them to the user, and means for the server to delete the session information and search log. This allows users to search and manage a variety of information quickly and efficiently, and enables safe system use with security and privacy ensured.

[0634] "Authentication information" is information such as a username and password entered to verify a user's identity.

[0635] A "terminal" is a device, such as a computer or smartphone, that a user uses to access the system.

[0636] A "server" is a central computer system that receives user authentication information, analyzes search queries, and collects information.

[0637] A "session" is an ID that uniquely identifies a series of operations from when a user logs in to when they log out of the system.

[0638] A "search query" is a keyword or phrase that a user types into a search bar.

[0639] "API" means the application programming interface that the server uses to communicate with other software or services.

[0640] "Information gathering" is the process by which the server obtains the necessary data from external services and databases.

[0641] "Data reduction" is the process of examining collected data and converting it into a form that is useful to the user.

[0642] A "search result" is a collection of information retrieved and formatted based on a user's search query.

[0643] A "search log" is a record of a user's search activity, data that is later used for analysis and troubleshooting.

[0644] This invention is a system that allows users to search for and efficiently manage a variety of information. This system includes a series of processes from inputting authentication information to displaying search results and deleting session information and search logs.

[0645] Hardware and Software Configuration

[0646] This system uses the following hardware and software:

[0647] 1. Hardware

[0648] Terminal: The device a user uses to access the system, including computers, smartphones, tablets, etc.

[0649] Server: A central computer system that performs user authentication, database lookup, query analysis, information collection, data reduction, result integration, data formatting, and management of session information and search logs.

[0650] 2. Software

[0651] Database management system: A database system such as MySQL for managing user information and internal documents.

[0652] Generative AI model: An API for collecting information from the web. Specifically, the Azure OpenAI API is used.

[0653] Natural Language Processing Library: A library for parsing search queries. Use a natural language processing library for Python (e.g., nltk, spacy, etc.).

[0654] HTML template engine: An engine for formatting search results. Examples include Jinja2.

[0655] System Operation Overview

[0656] This system starts when a user accesses the system from a terminal and enters a search query. The specific operations of each step are shown below.

[0657] 1. User Authentication

[0658] A user accesses the system from a terminal and enters a username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks it against a database. If authentication is successful, the server generates a new session ID and returns it to the user.

[0659] 2. Processing a search request

[0660] After authentication, the user accesses the dashboard and enters the keywords they want to search for in the search bar. The device then sends the query to the server, which analyzes it and prepares it for execution. Specifically, it uses a natural language processing library to tokenize the query and extract key keywords.

[0661] 3. Web crawling

[0662] The server sends the parsed query to the API (Azure OpenAI) of the generative AI model. Azure OpenAI collects information from the internet based on the query and returns it in JSON format. The server receives this information, extracts and organizes the necessary data, and filters the scraping results to remove unnecessary information.

[0663] 4. Search for internal documents (optional)

[0664] Optionally, the server also sends the same query to an internal document database, which searches for relevant documents and returns their metadata and content. The server then analyzes the document content and extracts important sections and keywords.

[0665] 5. Integration and display of results

[0666] The server integrates the results of web crawling with the search results for internal documents, formats these data using an HTML template engine, and returns them to the terminal, which then displays the formatted search results to the user.

[0667] 6. Deleting Session Information and Logs

[0668] After the search process is complete, the server deletes the session information and search logs appropriately, clearing the specific session ID and associated log entries from the database and rechecking the deleted data.

[0669] Examples of concrete examples and prompts

[0670] 1. Specific Examples

[0671] A user searches for the keyword "latest technology trends" and relevant information is displayed within a few seconds.

[0672] Users can search for and quickly access last year's annual report from company documents.

[0673] 2. Examples of prompts

[0674] "Find information on the latest technology trends"

[0675] "Please find last year's annual report in our internal documents."

[0676] The system described above allows users to efficiently search and manage a wide variety of information, while also enabling safe use of the system with security and privacy assured.

[0677] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0678] Step 1:

[0679] User Authentication

[0680] A user accesses the system from a terminal and enters a username and password on the login page. The terminal sends the entered authentication information to the server. When the server receives the authentication information, it checks the username and password against the database. Specifically, the server queries the database using an SQL query to obtain user information and confirms that the password matches. If authentication is successful, the server generates a new session ID and returns it to the terminal. This session ID is used to identify subsequent user operations.

[0681] Input: Username, Password

[0682] Output: Session ID

[0683] Step 2:

[0684] Receiving a search request

[0685] After successful authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the entered search query to the server, which then analyzes the received query. Specifically, it uses a natural language processing library to tokenize the query and extract the main keywords.

[0686] Input: Search query

[0687] Output: Parsed query

[0688] Step 3:

[0689] Web crawling execution

[0690] The server sends the parsed query to the API (Azure OpenAI) of the generative AI model. Specifically, the query is sent using an HTTP request to collect relevant information on the Internet. Azure OpenAI collects information on the Internet based on the query and returns the results in JSON format. The server receives the results and extracts and organizes only the necessary data. Unnecessary information is filtered out.

[0691] Input: Parsed query

[0692] Output: Data collected from the web (JSON format)

[0693] Step 4:

[0694] Search for internal documents

[0695] Optionally, the server also queries the internal document database with the same query. The server executes the SQL query to find relevant documents. The database returns the relevant document metadata and content. The server parses the document content and extracts important sections and keywords.

[0696] Input: Parsed query

[0697] Output: Search results from the company's internal document database

[0698] Step 5:

[0699] Integrating and formatting the results

[0700] The server integrates the results of web crawling with the search results for internal documents. The server integrates the data from each source and aggregates it into a single dataset. This dataset is formatted using an HTML template engine (e.g., Jinja2) into a format that is easy for users to view. This allows the search results to be displayed in a way that is easy for users to understand.

[0701] Input: Data collected from the web, search results from internal document databases

[0702] Output: Formatted search results (HTML format)

[0703] Step 6:

[0704] Displaying search results

[0705] The server sends the formatted search results to the terminal. The terminal displays the search results to the user. The user can view the results page in their browser and obtain the information they need. For example, if a user searches for the keyword "latest technology trends," related technical articles and internal company documents will be displayed all at once.

[0706] Input: Formatted search results (HTML format)

[0707] Output: The search results page that the user sees

[0708] Step 7:

[0709] Deleting session information and logs

[0710] Once the search process is complete, the server deletes the session information and search logs. The specific session ID and its associated log entries are removed from the database to protect the user's privacy. After the deletion, the server outputs a completion log to confirm that all information has been properly deleted.

[0711] Input: Terminated session ID, search log

[0712] Output: Deletion log

[0713] This allows users to quickly and efficiently search and manage a wide range of information, while ensuring security and privacy.

[0714] (Application example 1)

[0715] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0716] In today's information search systems, it is extremely difficult for users to obtain the information they need from a variety of sources in a unified manner. In particular, there is a lack of mechanisms for providing integrated information from internal databases and external Internet sources, forcing users to conduct searches individually. This situation can lead to information being overlooked, reduced search efficiency, and business slowdowns. Furthermore, the lack of an intuitive user interface for smart devices makes it difficult for users to quickly obtain the information they need.

[0717] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0718] In this invention, the server includes means for a user to input authentication information, means for the server to receive the authentication information and perform authentication, means for the server to receive and analyze a search query, means for the server to call an API and perform web crawling, means for the server to organize collected data, means for the server to format search results and return them to the user, means for the server to delete session information and search logs, means for providing a user interface using a smart device, and means for integrating and providing data from an internal database and external information sources. This allows users to obtain a variety of information in a unified and efficient manner, thereby improving work efficiency.

[0719] "Means for users to input authentication information" refers to means for providing an interface for users to input authentication information such as ID and password required when accessing the system.

[0720] The "means by which the server receives authentication information and performs authentication" refers to the means by which the server receives authentication information sent from the user and performs a process to verify its validity.

[0721] The "means by which the server receives and analyzes the search query" refers to the means by which the server receives the search query entered by the user, analyzes it, and prepares for search processing.

[0722] "Means by which a server calls an API to perform web crawling" refers to means by which a server executes a process to automatically collect information on the Internet through an API.

[0723] "Means for organizing data collected by the server" refers to the means for organizing and classifying information obtained from web crawling and internal databases, and converting it into meaningful data.

[0724] The "means by which the server formats the search results and returns them to the user" refers to the means by which the server formats the organized search results into a format that is easy for the user to view and provides them to the user.

[0725] The "means for the server to delete the session information and search log" refers to the means for the server to appropriately delete the session information and search history after the search process is completed.

[0726] "Means for providing a user interface using a smart device" refers to means for providing an interface that allows a user to operate a system through a smart device such as a smartphone or tablet.

[0727] "Means for integrating and providing data from an internal database and external information sources" refers to a means by which a server integrates data collected from an internal database and external information sources and provides the data to users in a centralized manner.

[0728] The present invention provides a system that allows users to easily search for a variety of information and centrally manage in-house documents and information on the Web. A specific embodiment of this system will be described below.

[0729] 1. User Authentication

[0730] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[0731] 2. Search Request

[0732] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[0733] 3. Web crawling and internal document search

[0734] The server uses the parsed query to call the API of a generative AI model (e.g., Azure OpenAI) to collect information from the Internet. The server also sends the same query to an internal document database to search for relevant documents. The server receives the retrieved information and organizes the data.

[0735] 4. Integration and display of results

[0736] The server integrates the results of web crawling with the search results for internal documents. The integrated results are formatted for the user's convenience. The server then sends the formatted data back to the terminal, which then displays the results to the user.

[0737] 5. Deleting session information and logs

[0738] After the search process is completed, the server will properly delete the session information and search logs, ensuring that no information remains in the system and protecting security and privacy.

[0739] Case studies

[0740] User Login Example

[0741] A user accesses the system and enters their ID and password. For example, if Mr. Tanaka wants to log in to a company system, he uses his smartphone to enter his ID and password on the login page to access the system.

[0742] Product search example

[0743] A user enters the keyword "latest technology trends" in the search bar and clicks the "Search" button. For example, let's imagine a situation where Mr. Tanaka enters the keyword "latest technology trends" to gather information.

[0744] Example of displaying the integration results

[0745] The server aggregates relevant information from the web and internal databases and displays it to the user. For example, the integrated data is displayed in an easy-to-read format on a terminal so that Mr. Tanaka can check the search results.

[0746] Examples of information deletion

[0747] After the search is completed, the server deletes the session information and search log to protect the user's privacy. For example, after the search process is completed, Tanaka's session information and search log are deleted.

[0748] Prompt Sentence Examples

[0749] "Mr. Tanaka accesses the app from his smartphone and logs in by entering his ID and password."

[0750] "Tanaka types 'latest tech trends' into the app's search bar and presses the search button."

[0751] "The app aggregates relevant information from the web and our internal database and displays it to Tanaka."

[0752] "After the search is completed, the app will delete the session information and search logs to protect Tanaka's privacy."

[0753] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0754] Step 1: User authentication

[0755] A user accesses the system from a terminal and enters a username and password on the login page. The entered information (username and password) is sent from the terminal to the server. The server compares the received authentication information with a database to verify the user's existence and the validity of the password. If authentication is successful, the server generates a new session ID and returns it to the terminal. This allows the user to access other functions of the system.

[0756] Step 2: Search Request

[0757] After successful authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the entered search query to the server, which analyzes the received query and prepares to determine from which sources data should be collected.

[0758] Step 3: Web Crawling

[0759] The server uses the parsed query to call the API of the generative AI model (e.g., Azure OpenAI) and collect relevant information from the Internet. This process involves crawling web pages corresponding to the query and extracting the required information. The server temporarily stores the retrieved data and organizes it for later processing.

[0760] Step 4: Search for internal documents

[0761] Using the same query, the server also searches the company's internal document database, retrieves relevant documents from the database, and organizes the data for each. This step covers existing documents and documents within the company.

[0762] Step 5: Consolidating the results

[0763] The server combines the results of web crawling with the internal document search results. This combines relevant information, removes duplicate data, and formats the results to bring the most relevant information to the top. The combined results are then converted into a user-friendly format (e.g., HTML).

[0764] Step 6: View the results

[0765] The server returns the formatted search results to the device, which then displays them to the user, who can then check the information displayed on their smartphone or other device.

[0766] Step 7: Delete session information and logs

[0767] After the search process is complete, the server will properly delete the session information and search log. This ensures that no information remains in the system, protecting security and privacy. The server will confirm that the process is complete and notify the user.

[0768] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0769] This invention is a system that allows users to search for a variety of information efficiently and centrally, and combines it with an emotion engine that recognizes the user's emotions to provide more intuitive and personalized search results. Specific program processing of the system is described below.

[0770] Program processing overview

[0771] 1. User Authentication

[0772] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[0773] 2. Search Request

[0774] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[0775] 3. Utilizing the Emotion Engine

[0776] The emotion engine analyzes users' typing behavior and reactions while browsing search results. The emotion engine analyzes users' facial expressions, tone of voice, typing speed, etc. in real time to recognize their emotional state. For example, if a user is in a hurry, they may want quicker and more concise information.

[0777] 4. Web Crawling

[0778] The server sends the parsed query to Azure OpenAI's API, which then collects information from the internet based on the query. The server then receives the information and extracts and organizes only the necessary data.

[0779] 5. Search for internal documents (optional)

[0780] If necessary, the server also sends the same query to an internal document database, searches for relevant documents from the database, and organizes the retrieved documents.

[0781] 6. Integration and display of results

[0782] The server combines the results of web crawling with those from internal documents. The combined results are optimized based on feedback from the emotion engine. For example, if the user expresses dissatisfaction, it presents more specific information and multiple options. The server then returns the formatted data to the device, which then displays the results to the user.

[0783] 7. Deleting Session Information and Logs

[0784] After the search process is completed, the server will properly delete the session information and search log, so that no information remains in the system and security and privacy are protected.

[0785] Specific examples

[0786] 1. User Login Example

[0787] User: Mr. Sato accesses the company's system and enters his ID and password on the login page.

[0788] Terminal: Sends the entered information to the server.

[0789] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[0790] 2. Example Search Request

[0791] User: Sam enters the keywords "latest medical technology" into the search bar and clicks the "Search" button.

[0792] Terminal: Sends the entered query to the server.

[0793] Server: Parses the query and prepares it for execution.

[0794] 3. Example of an Emotion Engine

[0795] Emotion engine: The emotion engine analyzes Sato's input actions and facial expressions, and if it recognizes an emotion such as being in a hurry, it sends feedback to the server.

[0796] Server: Based on your feedback, we optimize search results for speed.

[0797] 4. Web Crawling Example

[0798] Server: Calls the Azure OpenAI API and searches the internet for information about the latest medical technology.

[0799] Server: Organizes the information obtained and selects only the data that is useful to the user.

[0800] 5. Example of displaying integrated results

[0801] Server: Cross-references internal documents and consolidates relevant information.

[0802] Server: Optimizes the integrated results based on the feedback from the emotion engine and sends them to the device.

[0803] Device: Display the search results so that Sato can check them.

[0804] 6. Examples of information deletion

[0805] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[0806] Server: Verify that the deletion is complete and protect user privacy.

[0807] The processing flow will be explained below.

[0808] Step 1:

[0809] A user accesses the system's login page using a terminal.

[0810] Step 2:

[0811] The user enters their username and password on the login page and clicks the "Login" button.

[0812] Step 3:

[0813] The terminal sends the entered username and password to the server.

[0814] Step 4:

[0815] The server checks the authentication information it receives against a database to verify the user's existence and the validity of the password.

[0816] Step 5:

[0817] When authentication is successful, the server generates a new session ID and returns it to the terminal.

[0818] Step 6:

[0819] The terminal displays a successful authentication message and allows the user to access the dashboard.

[0820] Step 7:

[0821] A user enters a keyword or phrase they want to search for in the search bar on their dashboard and clicks the "Search" button.

[0822] Step 8:

[0823] The terminal transmits the entered search query to the server.

[0824] Step 9:

[0825] The server analyzes the received search query and prepares to execute the search.

[0826] Step 10:

[0827] The server calls the emotion engine and analyzes the user's input behavior and reactions when viewing search results.

[0828] Step 11:

[0829] The emotion engine analyzes the user's facial expressions, tone of voice, input speed, etc. in real time to recognize the user's emotional state.

[0830] Step 12:

[0831] The emotion engine sends the user's emotional state as feedback to the server.

[0832] Step 13:

[0833] The server calls the Azure OpenAI API and collects information on the Internet based on the parsed query.

[0834] Step 14:

[0835] The server receives the information obtained from Azure OpenAI, extracts the necessary data, and organizes it.

[0836] Step 15:

[0837] The server also sends the same query to an internal document database to search for related documents (optional).

[0838] Step 16:

[0839] The server integrates the results of web crawling with the search results for internal documents.

[0840] Step 17:

[0841] The server optimizes the integrated search results based on feedback from the emotion engine.

[0842] Step 18:

[0843] The server formats the optimized search results in a user-friendly format.

[0844] Step 19:

[0845] The server returns the formatted search results to the device.

[0846] Step 20:

[0847] The terminal displays the received search results to the user.

[0848] Step 21:

[0849] The user checks the search results and uses the information they need.

[0850] Step 22:

[0851] After the server completes the search process, it properly deletes the session information and search log.

[0852] Step 23:

[0853] The server verifies that the deletion is complete and ensures that there is no residual data.

[0854] Example 2

[0855] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0856] Conventional search systems have difficulty quickly and accurately providing the information users are looking for, and are particularly unable to provide results that reflect the user's emotional state. From the perspectives of security and privacy, it is also a challenge to properly manage session information and search logs. Furthermore, it has been difficult to efficiently collect and organize large amounts of data and present them in a unified manner.

[0857] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for a user to input authentication information, a means for the server to receive the authentication information and perform authentication, a means for the server to receive and analyze a search query, a means for the server to analyze input actions and facial expressions and recognize the user's emotions, a means for the server to call an API and perform web crawling, a means for the server to organize collected data, a means for the server to integrate the analysis information and emotion recognition results, format search results, and return them to the user, and a means for the server to delete session information and search logs. This enables the provision of more intuitive and personalized search results according to the user's emotions. Furthermore, efficient and centralized information collection and presentation can be achieved while protecting security and privacy.

[0858] "User" refers to the entity that operates the system and obtains information, and refers to an individual or corporation that primarily uses a computer to use the system.

[0859] "Authentication Information" means the unique identification information a user uses to access a system, typically consisting of a username and password.

[0860] A "server" refers to a computer or a collection of software that accepts requests from users, executes processing, and returns results.

[0861] A "search query" is a keyword or phrase that a user enters into a system, and refers to input data that identifies the information the user wants to retrieve through a search.

[0862] An "emotion engine" refers to a software or hardware system that analyzes a user's input actions and facial expressions in real time and recognizes the user's emotional state.

[0863] "API" stands for Application Programming Interface, and refers to an interface for linking data and functions between different software.

[0864] "Web crawling" refers to the process of automatically collecting and organizing information on the Internet.

[0865] "Data" refers to all information obtained as search results, and can range from text, images, audio, and more.

[0866] A "session" refers to a certain period of time during which a user interacts with a system, and includes identification information for temporarily retaining the user's actions and state.

[0867] A "search log" refers to historical information about search operations performed by a user, including the query and the time of acquisition of search results.

[0868] "Organizing" refers to the process of arranging and classifying collected data based on specific rules or algorithms.

[0869] "Integration" refers to the process of combining information obtained from multiple data sources into a single entity and managing and displaying it in a centralized manner.

[0870] "Security" refers to the protection of systems and data, including technologies and controls used to prevent unauthorized access and data breaches.

[0871] "Privacy" refers to protecting the confidentiality of personal information and user data and restricting access by unauthorized parties.

[0872] "Computer" refers to an electronic device for processing digital information, and the hardware used to realize this system.

[0873] This invention is a system that allows users to search for a variety of information efficiently and centrally, and combines it with an emotion engine that recognizes the user's emotions to provide more intuitive and personalized search results.

[0874] The system includes the following major hardware and software components:

[0875] Hardware:

[0876] Computers: Servers and user terminals

[0877] Camera: A device for capturing the user's facial expressions

[0878] software:

[0879] Database: Manages user authentication information and search logs

[0880] Sentiment analysis software: OpenCV, NLTK

[0881] Web crawling API: Azure OpenAI API

[0882] Query parsing software: specific parsing algorithms (e.g., tokenization, stemming)

[0883] Integration Algorithm: Unique algorithm for data integration

[0884] When a user accesses the system, they first enter their authentication information using a terminal. The authentication information is encrypted and sent to the server. The server checks this information against a database, and if authentication is successful, it generates a new session ID and returns it to the user.

[0885] Next, the user enters a search query, for example "latest medical technology," and clicks the search button. The device sends this query to the server, which analyzes the query and uses a specific analysis algorithm to understand its content.

[0886] In parallel, the emotion engine analyzes the user's input actions and facial expressions. For example, it uses OpenCV and NLTK to understand in real time whether the user is in a hurry or relaxed based on the video captured by the camera. This feedback is sent to the server and used to optimize search results.

[0887] The server calls the Azure OpenAI API and performs web crawling based on the search query. For example, it collects data related to the latest medical technology from the Internet and extracts and organizes only the necessary information. This process uses the requests library and Pandas library.

[0888] Additionally, internal documents are searched as needed: the server sends the same query to the internal document database and uses Elasticsearch to find relevant documents, which are then organized, filtered, and summarized.

[0889] Finally, the server combines the results of web crawling with the internal document search results and generates optimized search results based on feedback from the emotion engine. The formatted data is sent back to the device and displayed to the user. This display process is performed using HTML and JavaScript.

[0890] After the search process is completed, the server will delete the session information and search logs appropriately, for example, by executing the DELETE command in the MySQL database, which ensures user privacy and security.

[0891] Specific examples

[0892] User login example:

[0893] User: Tanaka accesses the system and enters his ID and password.

[0894] Terminal: Encrypts input information and sends it to the server.

[0895] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[0896] Example search request:

[0897] User: Tanaka types in "latest medical technology" and clicks the "Search" button.

[0898] Terminal: Sends the entered query to the server.

[0899] Server: Parses the query and prepares it for execution.

[0900] Emotion engine example:

[0901] Emotion engine: Analyzes Tanaka's input actions and facial expressions, and sends feedback to the server if he is in a hurry.

[0902] Server: Optimize search results for speed based on feedback.

[0903] Web crawling example:

[0904] Server: Calls the Azure OpenAI API and searches the internet for information about the latest medical technology.

[0905] Server: Organizes the information obtained and selects only the data that is useful to the user.

[0906] Example of how the integration results are displayed:

[0907] Server: Cross-references internal documents and consolidates relevant information.

[0908] Server: Optimizes the integrated results based on the feedback from the emotion engine and sends them to the device.

[0909] Device: Display the search results so that Tanaka can check them.

[0910] Examples of information deletion:

[0911] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[0912] Server: Verify that the deletion is complete and protect user privacy.

[0913] Prompt Sentence Examples

[0914] "To get information about the latest medical technologies, you enter a search query and use a sentiment analysis engine to assess your condition, providing you with better, faster information."

[0915] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0916] Step 1: User authentication

[0917] Input: A user accesses the system from a terminal and enters their username and password on the login page.

[0918] Specific operation: The terminal encrypts the entered username and password using the SSL / TLS protocol.

[0919] Data processing: Encrypted authentication information is sent to the server.

[0920] Output: The server receives the authentication information.

[0921] What happens: The server runs a SELECT query to match the received credentials with a database (e.g. MySQL).

[0922] Step 2: Authentication

[0923] Input: The server retrieves the user's authentication information from the database.

[0924] Data calculation: Compare the username and password with information in a database to ensure they match.

[0925] Output: If authentication is successful, generate a new session ID and return it to the user. If authentication fails, return an error message.

[0926] What happens: If authentication is successful, the server uses the session manager to generate a new session ID.

[0927] Step 3: Enter a search query

[0928] Input: After successful authentication, the user enters a search query, such as "latest medical technology," into the dashboard's search bar.

[0929] Data processing: The device sends the entered query to the server.

[0930] Output: The server receives the search query.

[0931] Specific operation: The server splits the query into tokens and performs processing such as stemming.

[0932] Step 4: Leverage the Emotion Engine

[0933] Input: Obtain user input behavior (keyboard input speed, mouse movement) and facial expression data (camera footage).

[0934] How it works: The emotion engine uses OpenCV and NLTK to perform real-time analysis.

[0935] Data calculation: Recognize the user's emotions based on the analysis results and determine their state (e.g., hurry, relaxed).

[0936] Output: Send feedback to the server according to the emotional state.

[0937] Specific operation: The emotion engine sends the analysis results to the server in JSON format.

[0938] Step 5: Start crawling the web

[0939] Input: The server receives the parsed search query.

[0940] Data calculation: The server calls the Azure OpenAI API to collect information based on the input query.

[0941] Output: Obtain data collected from the internet.

[0942] Specific operation: Sends an API request using Python's requests library.

[0943] Step 6: Data organization

[0944] Input: The server receives the collected data.

[0945] Data processing: Extracting necessary information, filtering and summarizing.

[0946] Output: Keeps the organized data in a structured format.

[0947] What it does: Converts it into a data frame using the Pandas library and removes irrelevant rows and columns.

[0948] Step 7: Search for internal documents

[0949] Input: Submit the same search query to the internal document database.

[0950] Data Computing: Use Elasticsearch to find relevant documents.

[0951] Output: Receives the retrieved internal document data.

[0952] What it does: Executes an Elasticsearch query to get the IDs and contents of the relevant documents.

[0953] Step 8: Integrate and optimize results

[0954] Input: The server receives web crawling results and search results for internal documents.

[0955] Data Calculation: Synthesize and optimize search results based on feedback.

[0956] Output: Consolidated search results data.

[0957] What it does: It applies an integrated algorithm to optimize results based on the user's emotional state.

[0958] Step 9: Viewing search results

[0959] Input: The server sends the optimized search results to the device.

[0960] Data processing: Converting formatted search results into a user-friendly format.

[0961] Output: The final search results that are displayed to the user.

[0962] What it does: Visually displays information using HTML and JavaScript.

[0963] Step 10: Delete information

[0964] Input: The server receives notification that the session has ended.

[0965] Data processing: Delete session information and search logs from the database.

[0966] Output: Deletion completed.

[0967] Specific operation: Executes a MySQL database command (e.g., DELETE FROM sessions WHERE session_id=<session ID>) to delete the information.

[0968] keyword:

[0969] Generative AI model, prompt sentence

[0970] (Application example 2)

[0971] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0972] Conventional search systems have had difficulty providing flexible search results that correspond to the user's emotional state. In particular, when a user is in a hurry or in a particular emotional state, they are unable to quickly obtain optimized information, resulting in a poor user experience. Furthermore, when data is diverse, selecting and filtering information and formatting search results takes time, making it difficult for users to quickly access the information they are looking for.

[0973] The specification process by the specification 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 authentication information, means for the server to receive the authentication information and perform authentication, means for the server to receive and analyze the search query, means for the server to use an emotion engine to analyze the user's emotional information, means for the server to call an API and perform information collection, means for the server to organize the collected data, means for the server to optimize and format search results based on the user's emotional state, means for the server to return the search results to the user, and means for the server to delete session information and search logs. This makes it possible to provide personalized search results according to the user's emotional state.

[0974] "User" refers to a person who accesses the system and enters a search query.

[0975] "Authentication information" refers to information such as a username and password that a user enters when accessing a system.

[0976] A "server" is a central system that receives search queries and authentication information entered by users and performs various processes.

[0977] A "search query" is a keyword or phrase that a user enters into a system to search for specific information.

[0978] "Analysis" means receiving input data or queries, understanding their contents, and processing them.

[0979] The "emotion engine" is a system that analyzes the user's facial expressions, voice tone, input speed, etc. to recognize the user's emotional state.

[0980] "API" stands for Application Programming Interface, an interface that enables communication with external programs and services.

[0981] "Information gathering" refers to obtaining necessary information from the Internet or databases.

[0982] "Organizing" means summarizing the acquired information in a way that is easy for the user to understand.

[0983] "Optimization" means adjusting information to meet the user's needs and providing it in the most optimal format.

[0984] "Formatting" means converting information or data into a usable format.

[0985] "Session information" is information for managing a series of operations and states while a user is accessing the system.

[0986] "Search log" refers to the search history and operation history performed by a user using the system.

[0987] A "database" is a system that allows efficient management of data and enables high-speed search and retrieval.

[0988] A "generative AI model" is a machine learning model that generates new information based on given data.

[0989] A "prompt" is a textual instruction given as input to a generative AI model.

[0990] To implement this invention, the following elements are required:

[0991] 1. User authentication:

[0992] The user enters authentication information (username and password) through the interface of the smart glasses. The smart glasses send the authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, generates session information and returns it to the user.

[0993] 2. Receiving and parsing search requests:

[0994] Users enter search queries using the smart glasses' voice recognition or touch input. The queries are then sent to the server along with an emotion engine that analyzes the user's emotional state. The emotion engine analyzes the user's facial expressions and tone of voice in real time to generate emotion data.

[0995] 3. Use the Emotion Engine:

[0996] The emotion engine analyzes users' typing behavior and reactions as they browse search results. If a user is in a hurry or in a particular emotional state, they may want quicker, more concise information, so it uses emotion data to optimize search results.

[0997] 4. API calls to gather information:

[0998] The server collects information from the internet through the API of Azure's AI model, analyzes and organizes the data, and converts it into a format that is easy for users to understand.

[0999] 5. Search Result Optimization and Display:

[1000] The server optimizes the collected data based on the user's emotional state. For example, if the user is in a hurry, search results will be adjusted to be more concise and quick. The optimized search results are then sent back to the smart glasses and served to the user.

[1001] 6. Delete session information and logs:

[1002] After the search process is completed, the server will properly delete the session information and search log, thereby protecting the user's privacy.

[1003] The primary hardware used includes smart glasses equipped with a camera and microphone, and the primary software used includes the Azure Face API and APIs for generative AI models.

[1004] Examples:

[1005] User authentication example:

[1006] The user enters their ID and password on the login page of the smart glasses. The smart glasses then send the information to the server, which then verifies its validity and generates and returns a session ID.

[1007] Example search request and sentiment engine:

[1008] When a user searches for "latest fashion," the emotion engine recognizes the emotion of impatience. This emotion information is sent along with the search query to the server, which optimizes the information to display results more quickly and concisely.

[1009] Example prompt sentence:

[1010] "Analyze user images to optimize for the search query: 'New summer fashion.' Sentiment data: {'anger': 0.0, 'contempt': 0.0, 'disgust': 0.0, 'fear': 0.0, 'happiness': 0.8, 'neutral': 0.15, 'sadness': 0.0, 'surprise': 0.05}."

[1011] In this way, analyzing the user's emotional state and providing individually optimized search results creates a more comfortable and efficient virtual shopping experience.

[1012] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1013] Step 1:

[1014] The user enters authentication information (username and password) into the smart glasses.

[1015] Input: Username, Password

[1016] Output: Request with authentication information

[1017] What happens: The user enters their credentials using the smart glasses' touch interface or voice input.

[1018] Step 2:

[1019] The terminal sends authentication information to the server, which then checks it against a database to perform authentication.

[1020] Input: Credentials

[1021] Output: Authentication result (success or failure), session ID (if successful)

[1022] Specific operation: The server checks the submitted authentication information against the database, and if authentication is successful, generates a session ID and returns it to the user.

[1023] Step 3:

[1024] A user enters a search query through the search interface of the smart glasses.

[1025] Input: Search query

[1026] Output: A request containing a search query

[1027] Specific Action: A user enters a specific search query using voice input or a touch interface.

[1028] Step 4:

[1029] The device captures the user's facial expression along with the search query using a camera and sends the image data to the server.

[1030] Input: search query, facial expression image

[1031] Output: A request containing a search query and an expression image

[1032] How it works: The smart glasses' built-in camera captures the user's facial expressions in real time and sends the image data along with the search query to the server.

[1033] Step 5:

[1034] The server analyzes the received facial expression images and recognizes the user's emotional state using an emotion engine.

[1035] Input: facial expression image

[1036] Output: Emotion data

[1037] Specific operation: The server uses the Azure Face API to analyze facial expression images and generate the user's emotional data (e.g., happiness, surprise, sadness, etc.).

[1038] Step 6:

[1039] The server generates optimized prompts based on emotional data and collects information through the API of the generative AI model.

[1040] Input: search query, sentiment data

[1041] Output: Information retrieved from the internet

[1042] How it works: Collect information by sending prompts containing user emotion data to the generative AI model. For example, "Analyze emotions from user images and optimize the following search query: 'New summer fashions.' Emotion data: {'anger': 0.0, 'contempt': 0.0, 'disgust': 0.0, 'fear': 0.0, 'happiness': 0.8, 'neutral': 0.15, 'sadness': 0.0, 'surprise': 0.05}."

[1043] Step 7:

[1044] The server analyzes the information obtained from the generative AI model and optimizes and shapes search results based on the user's emotional state.

[1045] Input: Acquired information, emotional data

[1046] Output: Optimized search results

[1047] Specific operation: The server analyzes the acquired information, optimizes it based on the user's emotional data, and formats it into an easy-to-read format.

[1048] Step 8:

[1049] The server sends the optimized search results to the device, which displays them on the smart glasses.

[1050] Input: Optimized search results

[1051] Output: The results displayed on the terminal

[1052] Specific operation: The server sends the optimized search results to the terminal, which displays the results on the smart glasses.

[1053] Step 9:

[1054] After the server completes the search process, it deletes the session information and search log to protect the user's privacy.

[1055] Input: Processing end status

[1056] Output: Deletion completed status

[1057] What happens: The server verifies and securely deletes session information and search logs.

[1058] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1059] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1060] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1061] [Third embodiment]

[1062] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1063] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1064] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1065] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[1066] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1067] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1068] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1069] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1070] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1071] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1072] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1073] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[1074] This invention is a system that allows users to easily search for a variety of information and centrally manage in-house documents and information on the Web. Specific program processing of the system is described below.

[1075] Program processing overview

[1076] 1. User Authentication

[1077] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[1078] 2. Search Request

[1079] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[1080] 3. Web crawling

[1081] The server sends the parsed query to Azure OpenAI's API, which then collects information from the internet based on the query. The server then receives the information and extracts and organizes only the necessary data.

[1082] 4. Search for internal documents (optional)

[1083] If necessary, the server also sends the same query to an internal document database, searches for relevant documents from the database, and organizes the retrieved documents.

[1084] 5. Integration and display of results

[1085] The server integrates the results of web crawling with the search results for internal documents. The integrated results are formatted for the user's convenience. The server then sends the formatted data back to the terminal, which then displays the results to the user.

[1086] 6. Deleting Session Information and Logs

[1087] After the search process is completed, the server will properly delete the session information and search log, so that no information remains in the system and security and privacy are protected.

[1088] Specific examples

[1089] 1. User Login Example

[1090] User: Tanaka accesses the company's system and enters his ID and password on the login page.

[1091] Terminal: Sends the entered information to the server.

[1092] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[1093] 2. Example Search Request

[1094] User: Anna types the keywords "latest technology trends" into the search bar and clicks the "Search" button.

[1095] Terminal: Sends the entered query to the server.

[1096] Server: Parses the query and prepares it for execution.

[1097] 3. Web Crawling Example

[1098] Server: Calls Azure OpenAI's API and searches the internet for information on the "latest technology trends."

[1099] Server: Organizes the information obtained and selects only the data that is useful to the user.

[1100] 4. Example of displaying integrated results

[1101] Server: Checks with internal documents and consolidates relevant information.

[1102] Server: Formats the integrated results into a user-friendly format (e.g., HTML) and sends them to the device.

[1103] Device: Display the search results so that Tanaka can check them.

[1104] 5. Examples of information deletion

[1105] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[1106] Server: Verify that the deletion is complete and protect user privacy.

[1107] The processing flow will be explained below.

[1108] Step 1:

[1109] The user accesses the system's login page from a terminal.

[1110] Step 2:

[1111] The user enters their username and password on the login page and clicks the "Login" button.

[1112] Step 3:

[1113] The terminal sends the entered username and password to the server.

[1114] Step 4:

[1115] The server checks the authentication information it receives against a database to verify the user's existence and the validity of the password.

[1116] Step 5:

[1117] When authentication is successful, the server generates a new session ID and returns it to the terminal.

[1118] Step 6:

[1119] The terminal displays a successful authentication message and allows the user to access the dashboard.

[1120] Step 7:

[1121] A user enters a keyword or phrase they want to search for in the search bar on their dashboard and clicks the "Search" button.

[1122] Step 8:

[1123] The terminal transmits the entered search query to the server.

[1124] Step 9:

[1125] The server analyzes the received search query and prepares to execute the search.

[1126] Step 10:

[1127] The server calls the Azure OpenAI API and collects information on the Internet based on the parsed query.

[1128] Step 11:

[1129] The server receives the information obtained from Azure OpenAI and extracts and organizes the necessary data.

[1130] Step 12:

[1131] The server also compares the organized data with an internal document database to find relevant documents (optional).

[1132] Step 13:

[1133] The server combines the results of web crawling and internal document search results into a single list.

[1134] Step 14:

[1135] The server formats the combined search results in a user-friendly format.

[1136] Step 15:

[1137] The server returns the formatted search results to the device.

[1138] Step 16:

[1139] The terminal displays the received search results to the user.

[1140] Step 17:

[1141] The user checks the search results and uses the information they need.

[1142] Step 18:

[1143] After the server completes the search process, it properly deletes the session information and search log.

[1144] Step 19:

[1145] The server verifies that the deletion is complete and ensures that there is no residual data.

[1146] Example 1

[1147] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1148] Conventional systems make it difficult for users to quickly and efficiently search for and centrally manage diverse information. Furthermore, they lacked the functionality to integrate web information with internal company documents, making user operation less convenient. Furthermore, the privacy and security measures for search results were insufficient. To address these issues, a system was needed that made information search and management easy, while also ensuring security and privacy.

[1149] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1150] In this invention, the server includes means for a user to input authentication information, means for a terminal to send the authentication information to the server, means for the server to receive the authentication information and perform authentication, means for the server to generate a session for the user, means for a user to input a search query, means for the terminal to send the search query to the server, means for the server to analyze the search query, means for the server to call an API and perform information collection, means for the server to organize the collected data, means for the server to format search results and return them to the user, and means for the server to delete the session information and search log. This allows users to search and manage a variety of information quickly and efficiently, and enables safe system use with security and privacy ensured.

[1151] "Authentication information" is information such as a username and password entered to verify a user's identity.

[1152] A "terminal" is a device, such as a computer or smartphone, that a user uses to access the system.

[1153] A "server" is a central computer system that receives user authentication information, analyzes search queries, and collects information.

[1154] A "session" is an ID that uniquely identifies a series of operations from when a user logs in to when they log out of the system.

[1155] A "search query" is a keyword or phrase that a user types into a search bar.

[1156] "API" means the application programming interface that the server uses to communicate with other software or services.

[1157] "Information gathering" is the process by which the server obtains the necessary data from external services and databases.

[1158] "Data reduction" is the process of examining collected data and converting it into a form that is useful to the user.

[1159] A "search result" is a collection of information retrieved and formatted based on a user's search query.

[1160] A "search log" is a record of a user's search activity, data that is later used for analysis and troubleshooting.

[1161] This invention is a system that allows users to search for and efficiently manage a variety of information. This system includes a series of processes from inputting authentication information to displaying search results and deleting session information and search logs.

[1162] Hardware and Software Configuration

[1163] This system uses the following hardware and software:

[1164] 1. Hardware

[1165] Terminal: The device a user uses to access the system, including computers, smartphones, tablets, etc.

[1166] Server: A central computer system that performs user authentication, database lookup, query analysis, information collection, data reduction, result integration, data formatting, and management of session information and search logs.

[1167] 2. Software

[1168] Database management system: A database system such as MySQL for managing user information and internal documents.

[1169] Generative AI model: An API for collecting information from the web. Specifically, the Azure OpenAI API is used.

[1170] Natural Language Processing Library: A library for parsing search queries. Use a natural language processing library for Python (e.g., nltk, spacy, etc.).

[1171] HTML template engine: An engine for formatting search results. Examples include Jinja2.

[1172] System Operation Overview

[1173] This system starts when a user accesses the system from a terminal and enters a search query. The specific operations of each step are shown below.

[1174] 1. User Authentication

[1175] A user accesses the system from a terminal and enters a username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks it against a database. If authentication is successful, the server generates a new session ID and returns it to the user.

[1176] 2. Processing a search request

[1177] After authentication, the user accesses the dashboard and enters the keywords they want to search for in the search bar. The device then sends the query to the server, which analyzes it and prepares it for execution. Specifically, it uses a natural language processing library to tokenize the query and extract key keywords.

[1178] 3. Web crawling

[1179] The server sends the parsed query to the API (Azure OpenAI) of the generative AI model. Azure OpenAI collects information from the internet based on the query and returns it in JSON format. The server receives this information, extracts and organizes the necessary data, and filters the scraping results to remove unnecessary information.

[1180] 4. Search for internal documents (optional)

[1181] Optionally, the server also sends the same query to an internal document database, which searches for relevant documents and returns their metadata and content. The server then analyzes the document content and extracts important sections and keywords.

[1182] 5. Integration and display of results

[1183] The server integrates the results of web crawling with the search results for internal documents, formats these data using an HTML template engine, and returns them to the terminal, which then displays the formatted search results to the user.

[1184] 6. Deleting Session Information and Logs

[1185] After the search process is complete, the server deletes the session information and search logs appropriately, clearing the specific session ID and associated log entries from the database and rechecking the deleted data.

[1186] Examples of concrete examples and prompts

[1187] 1. Specific Examples

[1188] A user searches for the keyword "latest technology trends" and relevant information is displayed within a few seconds.

[1189] Users can search for and quickly access last year's annual report from company documents.

[1190] 2. Examples of prompts

[1191] "Find information on the latest technology trends"

[1192] "Please find last year's annual report in our internal documents."

[1193] The system described above allows users to efficiently search and manage a wide variety of information, while also enabling safe use of the system with security and privacy assured.

[1194] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1195] Step 1:

[1196] User Authentication

[1197] A user accesses the system from a terminal and enters a username and password on the login page. The terminal sends the entered authentication information to the server. When the server receives the authentication information, it checks the username and password against the database. Specifically, the server queries the database using an SQL query to obtain user information and confirms that the password matches. If authentication is successful, the server generates a new session ID and returns it to the terminal. This session ID is used to identify subsequent user operations.

[1198] Input: Username, Password

[1199] Output: Session ID

[1200] Step 2:

[1201] Receiving a search request

[1202] After successful authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the entered search query to the server, which then analyzes the received query. Specifically, it uses a natural language processing library to tokenize the query and extract the main keywords.

[1203] Input: Search query

[1204] Output: Parsed query

[1205] Step 3:

[1206] Web crawling execution

[1207] The server sends the parsed query to the API (Azure OpenAI) of the generative AI model. Specifically, the query is sent using an HTTP request to collect relevant information on the Internet. Azure OpenAI collects information on the Internet based on the query and returns the results in JSON format. The server receives the results and extracts and organizes only the necessary data. Unnecessary information is filtered out.

[1208] Input: Parsed query

[1209] Output: Data collected from the web (JSON format)

[1210] Step 4:

[1211] Search for internal documents

[1212] Optionally, the server also queries the internal document database with the same query. The server executes the SQL query to find relevant documents. The database returns the relevant document metadata and content. The server parses the document content and extracts important sections and keywords.

[1213] Input: Parsed query

[1214] Output: Search results from the company's internal document database

[1215] Step 5:

[1216] Integrating and formatting the results

[1217] The server integrates the results of web crawling with the search results for internal documents. The server integrates the data from each source and aggregates it into a single dataset. This dataset is formatted using an HTML template engine (e.g., Jinja2) into a format that is easy for users to view. This allows the search results to be displayed in a way that is easy for users to understand.

[1218] Input: Data collected from the web, search results from internal document databases

[1219] Output: Formatted search results (HTML format)

[1220] Step 6:

[1221] Displaying search results

[1222] The server sends the formatted search results to the terminal. The terminal displays the search results to the user. The user can view the results page in their browser and obtain the information they need. For example, if a user searches for the keyword "latest technology trends," related technical articles and internal company documents will be displayed all at once.

[1223] Input: Formatted search results (HTML format)

[1224] Output: The search results page that the user sees

[1225] Step 7:

[1226] Deleting session information and logs

[1227] Once the search process is complete, the server deletes the session information and search logs. The specific session ID and its associated log entries are removed from the database to protect the user's privacy. After the deletion, the server outputs a completion log to confirm that all information has been properly deleted.

[1228] Input: Terminated session ID, search log

[1229] Output: Deletion log

[1230] This allows users to quickly and efficiently search and manage a wide range of information, while ensuring security and privacy.

[1231] (Application example 1)

[1232] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1233] In today's information search systems, it is extremely difficult for users to obtain the information they need from a variety of sources in a unified manner. In particular, there is a lack of mechanisms for providing integrated information from internal databases and external Internet sources, forcing users to conduct searches individually. This situation can lead to information being overlooked, reduced search efficiency, and business slowdowns. Furthermore, the lack of an intuitive user interface for smart devices makes it difficult for users to quickly obtain the information they need.

[1234] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1235] In this invention, the server includes means for a user to input authentication information, means for the server to receive the authentication information and perform authentication, means for the server to receive and analyze a search query, means for the server to call an API and perform web crawling, means for the server to organize collected data, means for the server to format search results and return them to the user, means for the server to delete session information and search logs, means for providing a user interface using a smart device, and means for integrating and providing data from an internal database and external information sources. This allows users to obtain a variety of information in a unified and efficient manner, thereby improving work efficiency.

[1236] "Means for users to input authentication information" refers to means for providing an interface for users to input authentication information such as ID and password required when accessing the system.

[1237] The "means by which the server receives authentication information and performs authentication" refers to the means by which the server receives authentication information sent from the user and performs a process to verify its validity.

[1238] The "means by which the server receives and analyzes the search query" refers to the means by which the server receives the search query entered by the user, analyzes it, and prepares for search processing.

[1239] "Means by which a server calls an API to perform web crawling" refers to means by which a server executes a process to automatically collect information on the Internet through an API.

[1240] "Means for organizing data collected by the server" refers to the means for organizing and classifying information obtained from web crawling and internal databases, and converting it into meaningful data.

[1241] The "means by which the server formats the search results and returns them to the user" refers to the means by which the server formats the organized search results into a format that is easy for the user to view and provides them to the user.

[1242] The "means for the server to delete the session information and search log" refers to the means for the server to appropriately delete the session information and search history after the search process is completed.

[1243] "Means for providing a user interface using a smart device" refers to means for providing an interface that allows a user to operate a system through a smart device such as a smartphone or tablet.

[1244] "Means for integrating and providing data from an internal database and external information sources" refers to a means by which a server integrates data collected from an internal database and external information sources and provides the data to users in a centralized manner.

[1245] The present invention provides a system that allows users to easily search for a variety of information and centrally manage in-house documents and information on the Web. A specific embodiment of this system will be described below.

[1246] 1. User Authentication

[1247] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[1248] 2. Search Request

[1249] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[1250] 3. Web crawling and internal document search

[1251] The server uses the parsed query to call the API of a generative AI model (e.g., Azure OpenAI) to collect information from the Internet. The server also sends the same query to an internal document database to search for relevant documents. The server receives the retrieved information and organizes the data.

[1252] 4. Integration and display of results

[1253] The server integrates the results of web crawling with the search results for internal documents. The integrated results are formatted for the user's convenience. The server then sends the formatted data back to the terminal, which then displays the results to the user.

[1254] 5. Deleting session information and logs

[1255] After the search process is completed, the server will properly delete the session information and search logs, ensuring that no information remains in the system and protecting security and privacy.

[1256] Case studies

[1257] User Login Example

[1258] A user accesses the system and enters their ID and password. For example, if Mr. Tanaka wants to log in to a company system, he uses his smartphone to enter his ID and password on the login page to access the system.

[1259] Product search example

[1260] A user enters the keyword "latest technology trends" in the search bar and clicks the "Search" button. For example, let's imagine a situation where Mr. Tanaka enters the keyword "latest technology trends" to gather information.

[1261] Example of displaying the integration results

[1262] The server aggregates relevant information from the web and internal databases and displays it to the user. For example, the integrated data is displayed in an easy-to-read format on a terminal so that Mr. Tanaka can check the search results.

[1263] Examples of information deletion

[1264] After the search is completed, the server deletes the session information and search log to protect the user's privacy. For example, after the search process is completed, Tanaka's session information and search log are deleted.

[1265] Prompt Sentence Examples

[1266] "Mr. Tanaka accesses the app from his smartphone and logs in by entering his ID and password."

[1267] "Tanaka types 'latest tech trends' into the app's search bar and presses the search button."

[1268] "The app aggregates relevant information from the web and our internal database and displays it to Tanaka."

[1269] "After the search is completed, the app will delete the session information and search logs to protect Tanaka's privacy."

[1270] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1271] Step 1: User authentication

[1272] A user accesses the system from a terminal and enters a username and password on the login page. The entered information (username and password) is sent from the terminal to the server. The server compares the received authentication information with a database to verify the user's existence and the validity of the password. If authentication is successful, the server generates a new session ID and returns it to the terminal. This allows the user to access other functions of the system.

[1273] Step 2: Search Request

[1274] After successful authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the entered search query to the server, which analyzes the received query and prepares to determine from which sources data should be collected.

[1275] Step 3: Web Crawling

[1276] The server uses the parsed query to call the API of the generative AI model (e.g., Azure OpenAI) and collect relevant information from the Internet. This process involves crawling web pages corresponding to the query and extracting the required information. The server temporarily stores the retrieved data and organizes it for later processing.

[1277] Step 4: Search for internal documents

[1278] Using the same query, the server also searches the company's internal document database, retrieves relevant documents from the database, and organizes the data for each. This step covers existing documents and documents within the company.

[1279] Step 5: Consolidating the results

[1280] The server combines the results of web crawling with the internal document search results. This combines relevant information, removes duplicate data, and formats the results to bring the most relevant information to the top. The combined results are then converted into a user-friendly format (e.g., HTML).

[1281] Step 6: View the results

[1282] The server returns the formatted search results to the device, which then displays them to the user, who can then check the information displayed on their smartphone or other device.

[1283] Step 7: Delete session information and logs

[1284] After the search process is complete, the server will properly delete the session information and search log. This ensures that no information remains in the system, protecting security and privacy. The server will confirm that the process is complete and notify the user.

[1285] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1286] This invention is a system that allows users to search for a variety of information efficiently and centrally, and combines it with an emotion engine that recognizes the user's emotions to provide more intuitive and personalized search results. Specific program processing of the system is described below.

[1287] Program processing overview

[1288] 1. User Authentication

[1289] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[1290] 2. Search Request

[1291] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[1292] 3. Utilizing the Emotion Engine

[1293] The emotion engine analyzes users' typing behavior and reactions while browsing search results. The emotion engine analyzes users' facial expressions, tone of voice, typing speed, etc. in real time to recognize their emotional state. For example, if a user is in a hurry, they may want quicker and more concise information.

[1294] 4. Web Crawling

[1295] The server sends the parsed query to Azure OpenAI's API, which then collects information from the internet based on the query. The server then receives the information and extracts and organizes only the necessary data.

[1296] 5. Search for internal documents (optional)

[1297] If necessary, the server also sends the same query to an internal document database, searches for relevant documents from the database, and organizes the retrieved documents.

[1298] 6. Integration and display of results

[1299] The server combines the results of web crawling with those from internal documents. The combined results are optimized based on feedback from the emotion engine. For example, if the user expresses dissatisfaction, it presents more specific information and multiple options. The server then returns the formatted data to the device, which then displays the results to the user.

[1300] 7. Deleting Session Information and Logs

[1301] After the search process is completed, the server will properly delete the session information and search log, so that no information remains in the system and security and privacy are protected.

[1302] Specific examples

[1303] 1. User Login Example

[1304] User: Mr. Sato accesses the company's system and enters his ID and password on the login page.

[1305] Terminal: Sends the entered information to the server.

[1306] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[1307] 2. Example Search Request

[1308] User: Sam enters the keywords "latest medical technology" into the search bar and clicks the "Search" button.

[1309] Terminal: Sends the entered query to the server.

[1310] Server: Parses the query and prepares it for execution.

[1311] 3. Example of an Emotion Engine

[1312] Emotion engine: The emotion engine analyzes Sato's input actions and facial expressions, and if it recognizes an emotion such as being in a hurry, it sends feedback to the server.

[1313] Server: Based on your feedback, we optimize search results for speed.

[1314] 4. Web Crawling Example

[1315] Server: Calls the Azure OpenAI API and searches the internet for information about the latest medical technology.

[1316] Server: Organizes the information obtained and selects only the data that is useful to the user.

[1317] 5. Example of displaying integrated results

[1318] Server: Cross-references internal documents and consolidates relevant information.

[1319] Server: Optimizes the integrated results based on the feedback from the emotion engine and sends them to the device.

[1320] Device: Display the search results so that Sato can check them.

[1321] 6. Examples of information deletion

[1322] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[1323] Server: Verify that the deletion is complete and protect user privacy.

[1324] The processing flow will be explained below.

[1325] Step 1:

[1326] A user accesses the system's login page using a terminal.

[1327] Step 2:

[1328] The user enters their username and password on the login page and clicks the "Login" button.

[1329] Step 3:

[1330] The terminal sends the entered username and password to the server.

[1331] Step 4:

[1332] The server checks the authentication information it receives against a database to verify the user's existence and the validity of the password.

[1333] Step 5:

[1334] When authentication is successful, the server generates a new session ID and returns it to the terminal.

[1335] Step 6:

[1336] The terminal displays a successful authentication message and allows the user to access the dashboard.

[1337] Step 7:

[1338] A user enters a keyword or phrase they want to search for in the search bar on their dashboard and clicks the "Search" button.

[1339] Step 8:

[1340] The terminal transmits the entered search query to the server.

[1341] Step 9:

[1342] The server analyzes the received search query and prepares to execute the search.

[1343] Step 10:

[1344] The server calls the emotion engine and analyzes the user's input behavior and reactions when viewing search results.

[1345] Step 11:

[1346] The emotion engine analyzes the user's facial expressions, tone of voice, input speed, etc. in real time to recognize the user's emotional state.

[1347] Step 12:

[1348] The emotion engine sends the user's emotional state as feedback to the server.

[1349] Step 13:

[1350] The server calls the Azure OpenAI API and collects information on the Internet based on the parsed query.

[1351] Step 14:

[1352] The server receives the information obtained from Azure OpenAI, extracts the necessary data, and organizes it.

[1353] Step 15:

[1354] The server also sends the same query to an internal document database to search for related documents (optional).

[1355] Step 16:

[1356] The server integrates the results of web crawling with the search results for internal documents.

[1357] Step 17:

[1358] The server optimizes the integrated search results based on feedback from the emotion engine.

[1359] Step 18:

[1360] The server formats the optimized search results in a user-friendly format.

[1361] Step 19:

[1362] The server returns the formatted search results to the device.

[1363] Step 20:

[1364] The terminal displays the received search results to the user.

[1365] Step 21:

[1366] The user checks the search results and uses the information they need.

[1367] Step 22:

[1368] After the server completes the search process, it properly deletes the session information and search log.

[1369] Step 23:

[1370] The server verifies that the deletion is complete and ensures that there is no residual data.

[1371] Example 2

[1372] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1373] Conventional search systems have difficulty quickly and accurately providing the information users are looking for, and are particularly unable to provide results that reflect the user's emotional state. From the perspectives of security and privacy, it is also a challenge to properly manage session information and search logs. Furthermore, it has been difficult to efficiently collect and organize large amounts of data and present them in a unified manner.

[1374] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for a user to input authentication information, a means for the server to receive the authentication information and perform authentication, a means for the server to receive and analyze a search query, a means for the server to analyze input actions and facial expressions and recognize the user's emotions, a means for the server to call an API and perform web crawling, a means for the server to organize collected data, a means for the server to integrate the analysis information and emotion recognition results, format search results, and return them to the user, and a means for the server to delete session information and search logs. This enables the provision of more intuitive and personalized search results according to the user's emotions. Furthermore, efficient and centralized information collection and presentation can be achieved while protecting security and privacy.

[1375] "User" refers to the entity that operates the system and obtains information, and refers to an individual or corporation that primarily uses a computer to use the system.

[1376] "Authentication Information" means the unique identification information a user uses to access a system, typically consisting of a username and password.

[1377] A "server" refers to a computer or a collection of software that accepts requests from users, executes processing, and returns results.

[1378] A "search query" is a keyword or phrase that a user enters into a system, and refers to input data that identifies the information the user wants to retrieve through a search.

[1379] An "emotion engine" refers to a software or hardware system that analyzes a user's input actions and facial expressions in real time and recognizes the user's emotional state.

[1380] "API" stands for Application Programming Interface, and refers to an interface for linking data and functions between different software.

[1381] "Web crawling" refers to the process of automatically collecting and organizing information on the Internet.

[1382] "Data" refers to all information obtained as search results, and can range from text, images, audio, and more.

[1383] A "session" refers to a certain period of time during which a user interacts with a system, and includes identification information for temporarily retaining the user's actions and state.

[1384] A "search log" refers to historical information about search operations performed by a user, including the query and the time of acquisition of search results.

[1385] "Organizing" refers to the process of arranging and classifying collected data based on specific rules or algorithms.

[1386] "Integration" refers to the process of combining information obtained from multiple data sources into a single entity and managing and displaying it in a centralized manner.

[1387] "Security" refers to the protection of systems and data, including technologies and controls used to prevent unauthorized access and data breaches.

[1388] "Privacy" refers to protecting the confidentiality of personal information and user data and restricting access by unauthorized parties.

[1389] "Computer" refers to an electronic device for processing digital information, and the hardware used to realize this system.

[1390] This invention is a system that allows users to search for a variety of information efficiently and centrally, and combines it with an emotion engine that recognizes the user's emotions to provide more intuitive and personalized search results.

[1391] The system includes the following major hardware and software components:

[1392] Hardware:

[1393] Computers: Servers and user terminals

[1394] Camera: A device for capturing the user's facial expressions

[1395] software:

[1396] Database: Manages user authentication information and search logs

[1397] Sentiment analysis software: OpenCV, NLTK

[1398] Web crawling API: Azure OpenAI API

[1399] Query parsing software: specific parsing algorithms (e.g., tokenization, stemming)

[1400] Integration Algorithm: Unique algorithm for data integration

[1401] When a user accesses the system, they first enter their authentication information using a terminal. The authentication information is encrypted and sent to the server. The server checks this information against a database, and if authentication is successful, it generates a new session ID and returns it to the user.

[1402] Next, the user enters a search query, for example "latest medical technology," and clicks the search button. The device sends this query to the server, which analyzes the query and uses a specific analysis algorithm to understand its content.

[1403] In parallel, the emotion engine analyzes the user's input actions and facial expressions. For example, it uses OpenCV and NLTK to understand in real time whether the user is in a hurry or relaxed based on the video captured by the camera. This feedback is sent to the server and used to optimize search results.

[1404] The server calls the Azure OpenAI API and performs web crawling based on the search query. For example, it collects data related to the latest medical technology from the Internet and extracts and organizes only the necessary information. This process uses the requests library and Pandas library.

[1405] Additionally, internal documents are searched as needed: the server sends the same query to the internal document database and uses Elasticsearch to find relevant documents, which are then organized, filtered, and summarized.

[1406] Finally, the server combines the results of web crawling with the internal document search results and generates optimized search results based on feedback from the emotion engine. The formatted data is sent back to the device and displayed to the user. This display process is performed using HTML and JavaScript.

[1407] After the search process is completed, the server will delete the session information and search logs appropriately, for example, by executing the DELETE command in the MySQL database, which ensures user privacy and security.

[1408] Specific examples

[1409] User login example:

[1410] User: Tanaka accesses the system and enters his ID and password.

[1411] Terminal: Encrypts input information and sends it to the server.

[1412] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[1413] Example search request:

[1414] User: Tanaka types in "latest medical technology" and clicks the "Search" button.

[1415] Terminal: Sends the entered query to the server.

[1416] Server: Parses the query and prepares it for execution.

[1417] Emotion engine example:

[1418] Emotion engine: Analyzes Tanaka's input actions and facial expressions, and sends feedback to the server if he is in a hurry.

[1419] Server: Optimize search results for speed based on feedback.

[1420] Web crawling example:

[1421] Server: Calls the Azure OpenAI API and searches the internet for information about the latest medical technology.

[1422] Server: Organizes the information obtained and selects only the data that is useful to the user.

[1423] Example of how the integration results are displayed:

[1424] Server: Cross-references internal documents and consolidates relevant information.

[1425] Server: Optimizes the integrated results based on the feedback from the emotion engine and sends them to the device.

[1426] Device: Display the search results so that Tanaka can check them.

[1427] Examples of information deletion:

[1428] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[1429] Server: Verify that the deletion is complete and protect user privacy.

[1430] Prompt Sentence Examples

[1431] "To get information about the latest medical technologies, you enter a search query and use a sentiment analysis engine to assess your condition, providing you with better, faster information."

[1432] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1433] Step 1: User authentication

[1434] Input: A user accesses the system from a terminal and enters their username and password on the login page.

[1435] Specific operation: The terminal encrypts the entered username and password using the SSL / TLS protocol.

[1436] Data processing: Encrypted authentication information is sent to the server.

[1437] Output: The server receives the authentication information.

[1438] What happens: The server runs a SELECT query to match the received credentials with a database (e.g. MySQL).

[1439] Step 2: Authentication

[1440] Input: The server retrieves the user's authentication information from the database.

[1441] Data calculation: Compare the username and password with information in a database to ensure they match.

[1442] Output: If authentication is successful, generate a new session ID and return it to the user. If authentication fails, return an error message.

[1443] What happens: If authentication is successful, the server uses the session manager to generate a new session ID.

[1444] Step 3: Enter a search query

[1445] Input: After successful authentication, the user enters a search query, such as "latest medical technology," into the dashboard's search bar.

[1446] Data processing: The device sends the entered query to the server.

[1447] Output: The server receives the search query.

[1448] Specific operation: The server splits the query into tokens and performs processing such as stemming.

[1449] Step 4: Leverage the Emotion Engine

[1450] Input: Obtain user input behavior (keyboard input speed, mouse movement) and facial expression data (camera footage).

[1451] How it works: The emotion engine uses OpenCV and NLTK to perform real-time analysis.

[1452] Data calculation: Recognize the user's emotions based on the analysis results and determine their state (e.g., hurry, relaxed).

[1453] Output: Send feedback to the server according to the emotional state.

[1454] Specific operation: The emotion engine sends the analysis results to the server in JSON format.

[1455] Step 5: Start crawling the web

[1456] Input: The server receives the parsed search query.

[1457] Data calculation: The server calls the Azure OpenAI API to collect information based on the input query.

[1458] Output: Obtain data collected from the internet.

[1459] Specific operation: Sends an API request using Python's requests library.

[1460] Step 6: Data organization

[1461] Input: The server receives the collected data.

[1462] Data processing: Extracting necessary information, filtering and summarizing.

[1463] Output: Keeps the organized data in a structured format.

[1464] What it does: Converts it into a data frame using the Pandas library and removes irrelevant rows and columns.

[1465] Step 7: Search for internal documents

[1466] Input: Submit the same search query to the internal document database.

[1467] Data Computing: Use Elasticsearch to find relevant documents.

[1468] Output: Receives the retrieved internal document data.

[1469] What it does: Executes an Elasticsearch query to get the IDs and contents of the relevant documents.

[1470] Step 8: Integrate and optimize results

[1471] Input: The server receives web crawling results and search results for internal documents.

[1472] Data Calculation: Synthesize and optimize search results based on feedback.

[1473] Output: Consolidated search results data.

[1474] What it does: It applies an integrated algorithm to optimize results based on the user's emotional state.

[1475] Step 9: Viewing search results

[1476] Input: The server sends the optimized search results to the device.

[1477] Data processing: Converting formatted search results into a user-friendly format.

[1478] Output: The final search results that are displayed to the user.

[1479] What it does: Visually displays information using HTML and JavaScript.

[1480] Step 10: Delete information

[1481] Input: The server receives notification that the session has ended.

[1482] Data processing: Delete session information and search logs from the database.

[1483] Output: Deletion completed.

[1484] Specific operation: Executes a MySQL database command (e.g., DELETE FROM sessions WHERE session_id=<session ID>) to delete the information.

[1485] keyword:

[1486] Generative AI model, prompt sentence

[1487] (Application example 2)

[1488] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1489] Conventional search systems have had difficulty providing flexible search results that correspond to the user's emotional state. In particular, when a user is in a hurry or in a particular emotional state, they are unable to quickly obtain optimized information, resulting in a poor user experience. Furthermore, when data is diverse, selecting and filtering information and formatting search results takes time, making it difficult for users to quickly access the information they are looking for.

[1490] The specification process by the specification 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 authentication information, means for the server to receive the authentication information and perform authentication, means for the server to receive and analyze the search query, means for the server to use an emotion engine to analyze the user's emotional information, means for the server to call an API and perform information collection, means for the server to organize the collected data, means for the server to optimize and format search results based on the user's emotional state, means for the server to return the search results to the user, and means for the server to delete session information and search logs. This makes it possible to provide personalized search results according to the user's emotional state.

[1491] "User" refers to a person who accesses the system and enters a search query.

[1492] "Authentication information" refers to information such as a username and password that a user enters when accessing a system.

[1493] A "server" is a central system that receives search queries and authentication information entered by users and performs various processes.

[1494] A "search query" is a keyword or phrase that a user enters into a system to search for specific information.

[1495] "Analysis" means receiving input data or queries, understanding their contents, and processing them.

[1496] The "emotion engine" is a system that analyzes the user's facial expressions, voice tone, input speed, etc. to recognize the user's emotional state.

[1497] "API" stands for Application Programming Interface, an interface that enables communication with external programs and services.

[1498] "Information gathering" refers to obtaining necessary information from the Internet or databases.

[1499] "Organizing" means summarizing the acquired information in a way that is easy for the user to understand.

[1500] "Optimization" means adjusting information to meet the user's needs and providing it in the most optimal format.

[1501] "Formatting" means converting information or data into a usable format.

[1502] "Session information" is information for managing a series of operations and states while a user is accessing the system.

[1503] "Search log" refers to the search history and operation history performed by a user using the system.

[1504] A "database" is a system that allows efficient management of data and enables high-speed search and retrieval.

[1505] A "generative AI model" is a machine learning model that generates new information based on given data.

[1506] A "prompt" is a textual instruction given as input to a generative AI model.

[1507] To implement this invention, the following elements are required:

[1508] 1. User authentication:

[1509] The user enters authentication information (username and password) through the interface of the smart glasses. The smart glasses send the authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, generates session information and returns it to the user.

[1510] 2. Receiving and parsing search requests:

[1511] Users enter search queries using the smart glasses' voice recognition or touch input. The queries are then sent to the server along with an emotion engine that analyzes the user's emotional state. The emotion engine analyzes the user's facial expressions and tone of voice in real time to generate emotion data.

[1512] 3. Use the Emotion Engine:

[1513] The emotion engine analyzes users' typing behavior and reactions as they browse search results. If a user is in a hurry or in a particular emotional state, they may want quicker, more concise information, so it uses emotion data to optimize search results.

[1514] 4. API calls to gather information:

[1515] The server collects information from the internet through the API of Azure's AI model, analyzes and organizes the data, and converts it into a format that is easy for users to understand.

[1516] 5. Search Result Optimization and Display:

[1517] The server optimizes the collected data based on the user's emotional state. For example, if the user is in a hurry, search results will be adjusted to be more concise and quick. The optimized search results are then sent back to the smart glasses and served to the user.

[1518] 6. Delete session information and logs:

[1519] After the search process is completed, the server will properly delete the session information and search log, thereby protecting the user's privacy.

[1520] The primary hardware used includes smart glasses equipped with a camera and microphone, and the primary software used includes the Azure Face API and APIs for generative AI models.

[1521] Examples:

[1522] User authentication example:

[1523] The user enters their ID and password on the login page of the smart glasses. The smart glasses then send the information to the server, which then verifies its validity and generates and returns a session ID.

[1524] Example search request and sentiment engine:

[1525] When a user searches for "latest fashion," the emotion engine recognizes the emotion of impatience. This emotion information is sent along with the search query to the server, which optimizes the information to display results more quickly and concisely.

[1526] Example prompt sentence:

[1527] "Analyze user images to optimize for the search query: 'New summer fashion.' Sentiment data: {'anger': 0.0, 'contempt': 0.0, 'disgust': 0.0, 'fear': 0.0, 'happiness': 0.8, 'neutral': 0.15, 'sadness': 0.0, 'surprise': 0.05}."

[1528] In this way, analyzing the user's emotional state and providing individually optimized search results creates a more comfortable and efficient virtual shopping experience.

[1529] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1530] Step 1:

[1531] The user enters authentication information (username and password) into the smart glasses.

[1532] Input: Username, Password

[1533] Output: Request with authentication information

[1534] What happens: The user enters their credentials using the smart glasses' touch interface or voice input.

[1535] Step 2:

[1536] The terminal sends authentication information to the server, which then checks it against a database to perform authentication.

[1537] Input: Credentials

[1538] Output: Authentication result (success or failure), session ID (if successful)

[1539] Specific operation: The server checks the submitted authentication information against the database, and if authentication is successful, generates a session ID and returns it to the user.

[1540] Step 3:

[1541] A user enters a search query through the search interface of the smart glasses.

[1542] Input: Search query

[1543] Output: A request containing a search query

[1544] Specific Action: A user enters a specific search query using voice input or a touch interface.

[1545] Step 4:

[1546] The device captures the user's facial expression along with the search query using a camera and sends the image data to the server.

[1547] Input: search query, facial expression image

[1548] Output: A request containing a search query and an expression image

[1549] How it works: The smart glasses' built-in camera captures the user's facial expressions in real time and sends the image data along with the search query to the server.

[1550] Step 5:

[1551] The server analyzes the received facial expression images and recognizes the user's emotional state using an emotion engine.

[1552] Input: facial expression image

[1553] Output: Emotion data

[1554] Specific operation: The server uses the Azure Face API to analyze facial expression images and generate the user's emotional data (e.g., happiness, surprise, sadness, etc.).

[1555] Step 6:

[1556] The server generates optimized prompts based on emotional data and collects information through the API of the generative AI model.

[1557] Input: search query, sentiment data

[1558] Output: Information retrieved from the internet

[1559] How it works: Collect information by sending prompts containing user emotion data to the generative AI model. For example, "Analyze emotions from user images and optimize the following search query: 'New summer fashions.' Emotion data: {'anger': 0.0, 'contempt': 0.0, 'disgust': 0.0, 'fear': 0.0, 'happiness': 0.8, 'neutral': 0.15, 'sadness': 0.0, 'surprise': 0.05}."

[1560] Step 7:

[1561] The server analyzes the information obtained from the generative AI model and optimizes and shapes search results based on the user's emotional state.

[1562] Input: Acquired information, emotional data

[1563] Output: Optimized search results

[1564] Specific operation: The server analyzes the acquired information, optimizes it based on the user's emotional data, and formats it into an easy-to-read format.

[1565] Step 8:

[1566] The server sends the optimized search results to the device, which displays them on the smart glasses.

[1567] Input: Optimized search results

[1568] Output: The results displayed on the terminal

[1569] Specific operation: The server sends the optimized search results to the terminal, which displays the results on the smart glasses.

[1570] Step 9:

[1571] After the server completes the search process, it deletes the session information and search log to protect the user's privacy.

[1572] Input: Processing end status

[1573] Output: Deletion completed status

[1574] What happens: The server verifies and securely deletes session information and search logs.

[1575] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1576] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1577] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1578] [Fourth embodiment]

[1579] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1580] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1581] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1582] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1583] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1584] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1585] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1586] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1587] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1588] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1589] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1590] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1591] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1592] This invention is a system that allows users to easily search for a variety of information and centrally manage in-house documents and information on the Web. Specific program processing of the system is described below.

[1593] Program processing overview

[1594] 1. User Authentication

[1595] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[1596] 2. Search Request

[1597] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[1598] 3. Web crawling

[1599] The server sends the parsed query to Azure OpenAI's API, which then collects information from the internet based on the query. The server then receives the information and extracts and organizes only the necessary data.

[1600] 4. Search for internal documents (optional)

[1601] If necessary, the server also sends the same query to an internal document database, searches for relevant documents from the database, and organizes the retrieved documents.

[1602] 5. Integration and display of results

[1603] The server integrates the results of web crawling with the search results for internal documents. The integrated results are formatted for the user's convenience. The server then sends the formatted data back to the terminal, which then displays the results to the user.

[1604] 6. Deleting Session Information and Logs

[1605] After the search process is completed, the server will properly delete the session information and search log, so that no information remains in the system and security and privacy are protected.

[1606] Specific examples

[1607] 1. User Login Example

[1608] User: Tanaka accesses the company's system and enters his ID and password on the login page.

[1609] Terminal: Sends the entered information to the server.

[1610] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[1611] 2. Example Search Request

[1612] User: Anna types the keywords "latest technology trends" into the search bar and clicks the "Search" button.

[1613] Terminal: Sends the entered query to the server.

[1614] Server: Parses the query and prepares it for execution.

[1615] 3. Web Crawling Example

[1616] Server: Calls Azure OpenAI's API and searches the internet for information on the "latest technology trends."

[1617] Server: Organizes the information obtained and selects only the data that is useful to the user.

[1618] 4. Example of displaying integrated results

[1619] Server: Checks with internal documents and consolidates relevant information.

[1620] Server: Formats the integrated results into a user-friendly format (e.g., HTML) and sends them to the device.

[1621] Device: Display the search results so that Tanaka can check them.

[1622] 5. Examples of information deletion

[1623] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[1624] Server: Verify that the deletion is complete and protect user privacy.

[1625] The processing flow will be explained below.

[1626] Step 1:

[1627] The user accesses the system's login page from a terminal.

[1628] Step 2:

[1629] The user enters their username and password on the login page and clicks the "Login" button.

[1630] Step 3:

[1631] The terminal sends the entered username and password to the server.

[1632] Step 4:

[1633] The server checks the authentication information it receives against a database to verify the user's existence and the validity of the password.

[1634] Step 5:

[1635] When authentication is successful, the server generates a new session ID and returns it to the terminal.

[1636] Step 6:

[1637] The terminal displays a successful authentication message and allows the user to access the dashboard.

[1638] Step 7:

[1639] A user enters a keyword or phrase they want to search for in the search bar on their dashboard and clicks the "Search" button.

[1640] Step 8:

[1641] The terminal transmits the entered search query to the server.

[1642] Step 9:

[1643] The server analyzes the received search query and prepares to execute the search.

[1644] Step 10:

[1645] The server calls the Azure OpenAI API and collects information on the Internet based on the parsed query.

[1646] Step 11:

[1647] The server receives the information obtained from Azure OpenAI and extracts and organizes the necessary data.

[1648] Step 12:

[1649] The server also compares the organized data with an internal document database to find relevant documents (optional).

[1650] Step 13:

[1651] The server combines the results of web crawling and internal document search results into a single list.

[1652] Step 14:

[1653] The server formats the combined search results in a user-friendly format.

[1654] Step 15:

[1655] The server returns the formatted search results to the device.

[1656] Step 16:

[1657] The terminal displays the received search results to the user.

[1658] Step 17:

[1659] The user checks the search results and uses the information they need.

[1660] Step 18:

[1661] After the server completes the search process, it properly deletes the session information and search log.

[1662] Step 19:

[1663] The server verifies that the deletion is complete and ensures that there is no residual data.

[1664] Example 1

[1665] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1666] Conventional systems make it difficult for users to quickly and efficiently search for and centrally manage diverse information. Furthermore, they lacked the functionality to integrate web information with internal company documents, making user operation less convenient. Furthermore, the privacy and security measures for search results were insufficient. To address these issues, a system was needed that made information search and management easy, while also ensuring security and privacy.

[1667] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1668] In this invention, the server includes means for a user to input authentication information, means for a terminal to send the authentication information to the server, means for the server to receive the authentication information and perform authentication, means for the server to generate a session for the user, means for a user to input a search query, means for the terminal to send the search query to the server, means for the server to analyze the search query, means for the server to call an API and perform information collection, means for the server to organize the collected data, means for the server to format search results and return them to the user, and means for the server to delete the session information and search log. This allows users to search and manage a variety of information quickly and efficiently, and enables safe system use with security and privacy ensured.

[1669] "Authentication information" is information such as a username and password entered to verify a user's identity.

[1670] A "terminal" is a device, such as a computer or smartphone, that a user uses to access the system.

[1671] A "server" is a central computer system that receives user authentication information, analyzes search queries, and collects information.

[1672] A "session" is an ID that uniquely identifies a series of operations from when a user logs in to when they log out of the system.

[1673] A "search query" is a keyword or phrase that a user types into a search bar.

[1674] "API" means the application programming interface that the server uses to communicate with other software or services.

[1675] "Information gathering" is the process by which the server obtains the necessary data from external services and databases.

[1676] "Data reduction" is the process of examining collected data and converting it into a form that is useful to the user.

[1677] A "search result" is a collection of information retrieved and formatted based on a user's search query.

[1678] A "search log" is a record of a user's search activity, data that is later used for analysis and troubleshooting.

[1679] This invention is a system that allows users to search for and efficiently manage a variety of information. This system includes a series of processes from inputting authentication information to displaying search results and deleting session information and search logs.

[1680] Hardware and Software Configuration

[1681] This system uses the following hardware and software:

[1682] 1. Hardware

[1683] Terminal: The device a user uses to access the system, including computers, smartphones, tablets, etc.

[1684] Server: A central computer system that performs user authentication, database lookup, query analysis, information collection, data reduction, result integration, data formatting, and management of session information and search logs.

[1685] 2. Software

[1686] Database management system: A database system such as MySQL for managing user information and internal documents.

[1687] Generative AI model: An API for collecting information from the web. Specifically, the Azure OpenAI API is used.

[1688] Natural Language Processing Library: A library for parsing search queries. Use a natural language processing library for Python (e.g., nltk, spacy, etc.).

[1689] HTML template engine: An engine for formatting search results. Examples include Jinja2.

[1690] System Operation Overview

[1691] This system starts when a user accesses the system from a terminal and enters a search query. The specific operations of each step are shown below.

[1692] 1. User Authentication

[1693] A user accesses the system from a terminal and enters a username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks it against a database. If authentication is successful, the server generates a new session ID and returns it to the user.

[1694] 2. Processing a search request

[1695] After authentication, the user accesses the dashboard and enters the keywords they want to search for in the search bar. The device then sends the query to the server, which analyzes it and prepares it for execution. Specifically, it uses a natural language processing library to tokenize the query and extract key keywords.

[1696] 3. Web crawling

[1697] The server sends the parsed query to the API (Azure OpenAI) of the generative AI model. Azure OpenAI collects information from the internet based on the query and returns it in JSON format. The server receives this information, extracts and organizes the necessary data, and filters the scraping results to remove unnecessary information.

[1698] 4. Search for internal documents (optional)

[1699] Optionally, the server also sends the same query to an internal document database, which searches for relevant documents and returns their metadata and content. The server then analyzes the document content and extracts important sections and keywords.

[1700] 5. Integration and display of results

[1701] The server integrates the results of web crawling with the search results for internal documents, formats these data using an HTML template engine, and returns them to the terminal, which then displays the formatted search results to the user.

[1702] 6. Deleting Session Information and Logs

[1703] After the search process is complete, the server deletes the session information and search logs appropriately, clearing the specific session ID and associated log entries from the database and rechecking the deleted data.

[1704] Examples of concrete examples and prompts

[1705] 1. Specific Examples

[1706] A user searches for the keyword "latest technology trends" and relevant information is displayed within a few seconds.

[1707] Users can search for and quickly access last year's annual report from company documents.

[1708] 2. Examples of prompts

[1709] "Find information on the latest technology trends"

[1710] "Please find last year's annual report in our internal documents."

[1711] The system described above allows users to efficiently search and manage a wide variety of information, while also enabling safe use of the system with security and privacy assured.

[1712] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1713] Step 1:

[1714] User Authentication

[1715] A user accesses the system from a terminal and enters a username and password on the login page. The terminal sends the entered authentication information to the server. When the server receives the authentication information, it checks the username and password against the database. Specifically, the server queries the database using an SQL query to obtain user information and confirms that the password matches. If authentication is successful, the server generates a new session ID and returns it to the terminal. This session ID is used to identify subsequent user operations.

[1716] Input: Username, Password

[1717] Output: Session ID

[1718] Step 2:

[1719] Receiving a search request

[1720] After successful authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the entered search query to the server, which then analyzes the received query. Specifically, it uses a natural language processing library to tokenize the query and extract the main keywords.

[1721] Input: Search query

[1722] Output: Parsed query

[1723] Step 3:

[1724] Web crawling execution

[1725] The server sends the parsed query to the API (Azure OpenAI) of the generative AI model. Specifically, the query is sent using an HTTP request to collect relevant information on the Internet. Azure OpenAI collects information on the Internet based on the query and returns the results in JSON format. The server receives the results and extracts and organizes only the necessary data. Unnecessary information is filtered out.

[1726] Input: Parsed query

[1727] Output: Data collected from the web (JSON format)

[1728] Step 4:

[1729] Search for internal documents

[1730] Optionally, the server also queries the internal document database with the same query. The server executes the SQL query to find relevant documents. The database returns the relevant document metadata and content. The server parses the document content and extracts important sections and keywords.

[1731] Input: Parsed query

[1732] Output: Search results from the company's internal document database

[1733] Step 5:

[1734] Integrating and formatting the results

[1735] The server integrates the results of web crawling with the search results for internal documents. The server integrates the data from each source and aggregates it into a single dataset. This dataset is formatted using an HTML template engine (e.g., Jinja2) into a format that is easy for users to view. This allows the search results to be displayed in a way that is easy for users to understand.

[1736] Input: Data collected from the web, search results from internal document databases

[1737] Output: Formatted search results (HTML format)

[1738] Step 6:

[1739] Displaying search results

[1740] The server sends the formatted search results to the terminal. The terminal displays the search results to the user. The user can view the results page in their browser and obtain the information they need. For example, if a user searches for the keyword "latest technology trends," related technical articles and internal company documents will be displayed all at once.

[1741] Input: Formatted search results (HTML format)

[1742] Output: The search results page that the user sees

[1743] Step 7:

[1744] Deleting session information and logs

[1745] Once the search process is complete, the server deletes the session information and search logs. The specific session ID and its associated log entries are removed from the database to protect the user's privacy. After the deletion, the server outputs a completion log to confirm that all information has been properly deleted.

[1746] Input: Terminated session ID, search log

[1747] Output: Deletion log

[1748] This allows users to quickly and efficiently search and manage a wide range of information, while ensuring security and privacy.

[1749] (Application example 1)

[1750] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1751] In today's information search systems, it is extremely difficult for users to obtain the information they need from a variety of sources in a unified manner. In particular, there is a lack of mechanisms for providing integrated information from internal databases and external Internet sources, forcing users to conduct searches individually. This situation can lead to information being overlooked, reduced search efficiency, and business slowdowns. Furthermore, the lack of an intuitive user interface for smart devices makes it difficult for users to quickly obtain the information they need.

[1752] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1753] In this invention, the server includes means for a user to input authentication information, means for the server to receive the authentication information and perform authentication, means for the server to receive and analyze a search query, means for the server to call an API and perform web crawling, means for the server to organize collected data, means for the server to format search results and return them to the user, means for the server to delete session information and search logs, means for providing a user interface using a smart device, and means for integrating and providing data from an internal database and external information sources. This allows users to obtain a variety of information in a unified and efficient manner, thereby improving work efficiency.

[1754] "Means for users to input authentication information" refers to means for providing an interface for users to input authentication information such as ID and password required when accessing the system.

[1755] The "means by which the server receives authentication information and performs authentication" refers to the means by which the server receives authentication information sent from the user and performs a process to verify its validity.

[1756] The "means by which the server receives and analyzes the search query" refers to the means by which the server receives the search query entered by the user, analyzes it, and prepares for search processing.

[1757] "Means by which a server calls an API to perform web crawling" refers to means by which a server executes a process to automatically collect information on the Internet through an API.

[1758] "Means for organizing data collected by the server" refers to the means for organizing and classifying information obtained from web crawling and internal databases, and converting it into meaningful data.

[1759] The "means by which the server formats the search results and returns them to the user" refers to the means by which the server formats the organized search results into a format that is easy for the user to view and provides them to the user.

[1760] The "means for the server to delete the session information and search log" refers to the means for the server to appropriately delete the session information and search history after the search process is completed.

[1761] "Means for providing a user interface using a smart device" refers to means for providing an interface that allows a user to operate a system through a smart device such as a smartphone or tablet.

[1762] "Means for integrating and providing data from an internal database and external information sources" refers to a means by which a server integrates data collected from an internal database and external information sources and provides the data to users in a centralized manner.

[1763] The present invention provides a system that allows users to easily search for a variety of information and centrally manage in-house documents and information on the Web. A specific embodiment of this system will be described below.

[1764] 1. User Authentication

[1765] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[1766] 2. Search Request

[1767] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[1768] 3. Web crawling and internal document search

[1769] The server uses the parsed query to call the API of a generative AI model (e.g., Azure OpenAI) to collect information from the Internet. The server also sends the same query to an internal document database to search for relevant documents. The server receives the retrieved information and organizes the data.

[1770] 4. Integration and display of results

[1771] The server integrates the results of web crawling with the search results for internal documents. The integrated results are formatted for the user's convenience. The server then sends the formatted data back to the terminal, which then displays the results to the user.

[1772] 5. Deleting session information and logs

[1773] After the search process is completed, the server will properly delete the session information and search logs, ensuring that no information remains in the system and protecting security and privacy.

[1774] Case studies

[1775] User Login Example

[1776] A user accesses the system and enters their ID and password. For example, if Mr. Tanaka wants to log in to a company system, he uses his smartphone to enter his ID and password on the login page to access the system.

[1777] Product search example

[1778] A user enters the keyword "latest technology trends" in the search bar and clicks the "Search" button. For example, let's imagine a situation where Mr. Tanaka enters the keyword "latest technology trends" to gather information.

[1779] Example of displaying the integration results

[1780] The server aggregates relevant information from the web and internal databases and displays it to the user. For example, the integrated data is displayed in an easy-to-read format on a terminal so that Mr. Tanaka can check the search results.

[1781] Examples of information deletion

[1782] After the search is completed, the server deletes the session information and search log to protect the user's privacy. For example, after the search process is completed, Tanaka's session information and search log are deleted.

[1783] Prompt Sentence Examples

[1784] "Mr. Tanaka accesses the app from his smartphone and logs in by entering his ID and password."

[1785] "Tanaka types 'latest tech trends' into the app's search bar and presses the search button."

[1786] "The app aggregates relevant information from the web and our internal database and displays it to Tanaka."

[1787] "After the search is completed, the app will delete the session information and search logs to protect Tanaka's privacy."

[1788] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1789] Step 1: User authentication

[1790] A user accesses the system from a terminal and enters a username and password on the login page. The entered information (username and password) is sent from the terminal to the server. The server compares the received authentication information with a database to verify the user's existence and the validity of the password. If authentication is successful, the server generates a new session ID and returns it to the terminal. This allows the user to access other functions of the system.

[1791] Step 2: Search Request

[1792] After successful authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the entered search query to the server, which analyzes the received query and prepares to determine from which sources data should be collected.

[1793] Step 3: Web Crawling

[1794] The server uses the parsed query to call the API of the generative AI model (e.g., Azure OpenAI) and collect relevant information from the Internet. This process involves crawling web pages corresponding to the query and extracting the required information. The server temporarily stores the retrieved data and organizes it for later processing.

[1795] Step 4: Search for internal documents

[1796] Using the same query, the server also searches the company's internal document database, retrieves relevant documents from the database, and organizes the data for each. This step covers existing documents and documents within the company.

[1797] Step 5: Consolidating the results

[1798] The server combines the results of web crawling with the internal document search results. This combines relevant information, removes duplicate data, and formats the results to bring the most relevant information to the top. The combined results are then converted into a user-friendly format (e.g., HTML).

[1799] Step 6: View the results

[1800] The server returns the formatted search results to the device, which then displays them to the user, who can then check the information displayed on their smartphone or other device.

[1801] Step 7: Delete session information and logs

[1802] After the search process is complete, the server will properly delete the session information and search log. This ensures that no information remains in the system, protecting security and privacy. The server will confirm that the process is complete and notify the user.

[1803] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1804] This invention is a system that allows users to search for a variety of information efficiently and centrally, and combines it with an emotion engine that recognizes the user's emotions to provide more intuitive and personalized search results. Specific program processing of the system is described below.

[1805] Program processing overview

[1806] 1. User Authentication

[1807] When a user accesses the system from a terminal, they enter their username and password on the login page. The terminal sends the entered information to the server. The server receives the authentication information and checks the database to verify the user's existence and the validity of the password. If authentication is successful, the server creates a new session and returns it to the user. This session allows the user to access other functions of the system.

[1808] 2. Search Request

[1809] After authentication, the user accesses the dashboard and enters the keyword or phrase (search query) they want to search for in the search bar. The device sends the query to the server, which analyzes it and prepares it for execution.

[1810] 3. Utilizing the Emotion Engine

[1811] The emotion engine analyzes users' typing behavior and reactions while browsing search results. The emotion engine analyzes users' facial expressions, tone of voice, typing speed, etc. in real time to recognize their emotional state. For example, if a user is in a hurry, they may want quicker and more concise information.

[1812] 4. Web Crawling

[1813] The server sends the parsed query to Azure OpenAI's API, which then collects information from the internet based on the query. The server then receives the information and extracts and organizes only the necessary data.

[1814] 5. Search for internal documents (optional)

[1815] If necessary, the server also sends the same query to an internal document database, searches for relevant documents from the database, and organizes the retrieved documents.

[1816] 6. Integration and display of results

[1817] The server combines the results of web crawling with those from internal documents. The combined results are optimized based on feedback from the emotion engine. For example, if the user expresses dissatisfaction, it presents more specific information and multiple options. The server then returns the formatted data to the device, which then displays the results to the user.

[1818] 7. Deleting Session Information and Logs

[1819] After the search process is completed, the server will properly delete the session information and search log, so that no information remains in the system and security and privacy are protected.

[1820] Specific examples

[1821] 1. User Login Example

[1822] User: Mr. Sato accesses the company's system and enters his ID and password on the login page.

[1823] Terminal: Sends the entered information to the server.

[1824] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[1825] 2. Example Search Request

[1826] User: Sam enters the keywords "latest medical technology" into the search bar and clicks the "Search" button.

[1827] Terminal: Sends the entered query to the server.

[1828] Server: Parses the query and prepares it for execution.

[1829] 3. Example of an Emotion Engine

[1830] Emotion engine: The emotion engine analyzes Sato's input actions and facial expressions, and if it recognizes an emotion such as being in a hurry, it sends feedback to the server.

[1831] Server: Based on your feedback, we optimize search results for speed.

[1832] 4. Web Crawling Example

[1833] Server: Calls the Azure OpenAI API and searches the internet for information about the latest medical technology.

[1834] Server: Organizes the information obtained and selects only the data that is useful to the user.

[1835] 5. Example of displaying integrated results

[1836] Server: Cross-references internal documents and consolidates relevant information.

[1837] Server: Optimizes the integrated results based on the feedback from the emotion engine and sends them to the device.

[1838] Device: Display the search results so that Sato can check them.

[1839] 6. Examples of information deletion

[1840] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[1841] Server: Verify that the deletion is complete and protect user privacy.

[1842] The processing flow will be explained below.

[1843] Step 1:

[1844] A user accesses the system's login page using a terminal.

[1845] Step 2:

[1846] The user enters their username and password on the login page and clicks the "Login" button.

[1847] Step 3:

[1848] The terminal sends the entered username and password to the server.

[1849] Step 4:

[1850] The server checks the authentication information it receives against a database to verify the user's existence and the validity of the password.

[1851] Step 5:

[1852] When authentication is successful, the server generates a new session ID and returns it to the terminal.

[1853] Step 6:

[1854] The terminal displays a successful authentication message and allows the user to access the dashboard.

[1855] Step 7:

[1856] A user enters a keyword or phrase they want to search for in the search bar on their dashboard and clicks the "Search" button.

[1857] Step 8:

[1858] The terminal transmits the entered search query to the server.

[1859] Step 9:

[1860] The server analyzes the received search query and prepares to execute the search.

[1861] Step 10:

[1862] The server calls the emotion engine and analyzes the user's input behavior and reactions when viewing search results.

[1863] Step 11:

[1864] The emotion engine analyzes the user's facial expressions, tone of voice, input speed, etc. in real time to recognize the user's emotional state.

[1865] Step 12:

[1866] The emotion engine sends the user's emotional state as feedback to the server.

[1867] Step 13:

[1868] The server calls the Azure OpenAI API and collects information on the Internet based on the parsed query.

[1869] Step 14:

[1870] The server receives the information obtained from Azure OpenAI, extracts the necessary data, and organizes it.

[1871] Step 15:

[1872] The server also sends the same query to an internal document database to search for related documents (optional).

[1873] Step 16:

[1874] The server integrates the results of web crawling with the search results for internal documents.

[1875] Step 17:

[1876] The server optimizes the integrated search results based on feedback from the emotion engine.

[1877] Step 18:

[1878] The server formats the optimized search results in a user-friendly format.

[1879] Step 19:

[1880] The server returns the formatted search results to the device.

[1881] Step 20:

[1882] The terminal displays the received search results to the user.

[1883] Step 21:

[1884] The user checks the search results and uses the information they need.

[1885] Step 22:

[1886] After the server completes the search process, it properly deletes the session information and search log.

[1887] Step 23:

[1888] The server verifies that the deletion is complete and ensures that there is no residual data.

[1889] Example 2

[1890] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1891] Conventional search systems have difficulty quickly and accurately providing the information users are looking for, and are particularly unable to provide results that reflect the user's emotional state. From the perspectives of security and privacy, it is also a challenge to properly manage session information and search logs. Furthermore, it has been difficult to efficiently collect and organize large amounts of data and present them in a unified manner.

[1892] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for a user to input authentication information, a means for the server to receive the authentication information and perform authentication, a means for the server to receive and analyze a search query, a means for the server to analyze input actions and facial expressions and recognize the user's emotions, a means for the server to call an API and perform web crawling, a means for the server to organize collected data, a means for the server to integrate the analysis information and emotion recognition results, format search results, and return them to the user, and a means for the server to delete session information and search logs. This enables the provision of more intuitive and personalized search results according to the user's emotions. Furthermore, efficient and centralized information collection and presentation can be achieved while protecting security and privacy.

[1893] "User" refers to the entity that operates the system and obtains information, and refers to an individual or corporation that primarily uses a computer to use the system.

[1894] "Authentication Information" means the unique identification information a user uses to access a system, typically consisting of a username and password.

[1895] A "server" refers to a computer or a collection of software that accepts requests from users, executes processing, and returns results.

[1896] A "search query" is a keyword or phrase that a user enters into a system, and refers to input data that identifies the information the user wants to retrieve through a search.

[1897] An "emotion engine" refers to a software or hardware system that analyzes a user's input actions and facial expressions in real time and recognizes the user's emotional state.

[1898] "API" stands for Application Programming Interface, and refers to an interface for linking data and functions between different software.

[1899] "Web crawling" refers to the process of automatically collecting and organizing information on the Internet.

[1900] "Data" refers to all information obtained as search results, and can range from text, images, audio, and more.

[1901] A "session" refers to a certain period of time during which a user interacts with a system, and includes identification information for temporarily retaining the user's actions and state.

[1902] A "search log" refers to historical information about search operations performed by a user, including the query and the time of acquisition of search results.

[1903] "Organizing" refers to the process of arranging and classifying collected data based on specific rules or algorithms.

[1904] "Integration" refers to the process of combining information obtained from multiple data sources into a single entity and managing and displaying it in a centralized manner.

[1905] "Security" refers to the protection of systems and data, including technologies and controls used to prevent unauthorized access and data breaches.

[1906] "Privacy" refers to protecting the confidentiality of personal information and user data and restricting access by unauthorized parties.

[1907] "Computer" refers to an electronic device for processing digital information, and the hardware used to realize this system.

[1908] This invention is a system that allows users to search for a variety of information efficiently and centrally, and combines it with an emotion engine that recognizes the user's emotions to provide more intuitive and personalized search results.

[1909] The system includes the following major hardware and software components:

[1910] Hardware:

[1911] Computers: Servers and user terminals

[1912] Camera: A device for capturing the user's facial expressions

[1913] software:

[1914] Database: Manages user authentication information and search logs

[1915] Sentiment analysis software: OpenCV, NLTK

[1916] Web crawling API: Azure OpenAI API

[1917] Query parsing software: specific parsing algorithms (e.g., tokenization, stemming)

[1918] Integration Algorithm: Unique algorithm for data integration

[1919] When a user accesses the system, they first enter their authentication information using a terminal. The authentication information is encrypted and sent to the server. The server checks this information against a database, and if authentication is successful, it generates a new session ID and returns it to the user.

[1920] Next, the user enters a search query, for example "latest medical technology," and clicks the search button. The device sends this query to the server, which analyzes the query and uses a specific analysis algorithm to understand its content.

[1921] In parallel, the emotion engine analyzes the user's input actions and facial expressions. For example, it uses OpenCV and NLTK to understand in real time whether the user is in a hurry or relaxed based on the video captured by the camera. This feedback is sent to the server and used to optimize search results.

[1922] The server calls the Azure OpenAI API and performs web crawling based on the search query. For example, it collects data related to the latest medical technology from the Internet and extracts and organizes only the necessary information. This process uses the requests library and Pandas library.

[1923] Additionally, internal documents are searched as needed: the server sends the same query to the internal document database and uses Elasticsearch to find relevant documents, which are then organized, filtered, and summarized.

[1924] Finally, the server combines the results of web crawling with the internal document search results and generates optimized search results based on feedback from the emotion engine. The formatted data is sent back to the device and displayed to the user. This display process is performed using HTML and JavaScript.

[1925] After the search process is completed, the server will delete the session information and search logs appropriately, for example, by executing the DELETE command in the MySQL database, which ensures user privacy and security.

[1926] Specific examples

[1927] User login example:

[1928] User: Tanaka accesses the system and enters his ID and password.

[1929] Terminal: Encrypts input information and sends it to the server.

[1930] Server: Compares the received information with the database, and if authentication is successful, generates and returns a new session ID.

[1931] Example search request:

[1932] User: Tanaka types in "latest medical technology" and clicks the "Search" button.

[1933] Terminal: Sends the entered query to the server.

[1934] Server: Parses the query and prepares it for execution.

[1935] Emotion engine example:

[1936] Emotion engine: Analyzes Tanaka's input actions and facial expressions, and sends feedback to the server if he is in a hurry.

[1937] Server: Optimize search results for speed based on feedback.

[1938] Web crawling example:

[1939] Server: Calls the Azure OpenAI API and searches the internet for information about the latest medical technology.

[1940] Server: Organizes the information obtained and selects only the data that is useful to the user.

[1941] Example of how the integration results are displayed:

[1942] Server: Cross-references internal documents and consolidates relevant information.

[1943] Server: Optimizes the integrated results based on the feedback from the emotion engine and sends them to the device.

[1944] Device: Display the search results so that Tanaka can check them.

[1945] Examples of information deletion:

[1946] Server: After the search process is completed, the session information and search logs are deleted appropriately.

[1947] Server: Verify that the deletion is complete and protect user privacy.

[1948] Prompt Sentence Examples

[1949] "To get information about the latest medical technologies, you enter a search query and use a sentiment analysis engine to assess your condition, providing you with better, faster information."

[1950] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1951] Step 1: User authentication

[1952] Input: A user accesses the system from a terminal and enters their username and password on the login page.

[1953] Specific operation: The terminal encrypts the entered username and password using the SSL / TLS protocol.

[1954] Data processing: Encrypted authentication information is sent to the server.

[1955] Output: The server receives the authentication information.

[1956] What happens: The server runs a SELECT query to match the received credentials with a database (e.g. MySQL).

[1957] Step 2: Authentication

[1958] Input: The server retrieves the user's authentication information from the database.

[1959] Data calculation: Compare the username and password with information in a database to ensure they match.

[1960] Output: If authentication is successful, generate a new session ID and return it to the user. If authentication fails, return an error message.

[1961] What happens: If authentication is successful, the server uses the session manager to generate a new session ID.

[1962] Step 3: Enter a search query

[1963] Input: After successful authentication, the user enters a search query, such as "latest medical technology," into the dashboard's search bar.

[1964] Data processing: The device sends the entered query to the server.

[1965] Output: The server receives the search query.

[1966] Specific operation: The server splits the query into tokens and performs processing such as stemming.

[1967] Step 4: Leverage the Emotion Engine

[1968] Input: Obtain user input behavior (keyboard input speed, mouse movement) and facial expression data (camera footage).

[1969] How it works: The emotion engine uses OpenCV and NLTK to perform real-time analysis.

[1970] Data calculation: Recognize the user's emotions based on the analysis results and determine their state (e.g., hurry, relaxed).

[1971] Output: Send feedback to the server according to the emotional state.

[1972] Specific operation: The emotion engine sends the analysis results to the server in JSON format.

[1973] Step 5: Start crawling the web

[1974] Input: The server receives the parsed search query.

[1975] Data calculation: The server calls the Azure OpenAI API to collect information based on the input query.

[1976] Output: Obtain data collected from the internet.

[1977] Specific operation: Sends an API request using Python's requests library.

[1978] Step 6: Data organization

[1979] Input: The server receives the collected data.

[1980] Data processing: Extracting necessary information, filtering and summarizing.

[1981] Output: Keeps the organized data in a structured format.

[1982] What it does: Converts it into a data frame using the Pandas library and removes irrelevant rows and columns.

[1983] Step 7: Search for internal documents

[1984] Input: Submit the same search query to the internal document database.

[1985] Data Computing: Use Elasticsearch to find relevant documents.

[1986] Output: Receives the retrieved internal document data.

[1987] What it does: Executes an Elasticsearch query to get the IDs and contents of the relevant documents.

[1988] Step 8: Integrate and optimize results

[1989] Input: The server receives web crawling results and search results for internal documents.

[1990] Data Calculation: Synthesize and optimize search results based on feedback.

[1991] Output: Consolidated search results data.

[1992] What it does: It applies an integrated algorithm to optimize results based on the user's emotional state.

[1993] Step 9: Viewing search results

[1994] Input: The server sends the optimized search results to the device.

[1995] Data processing: Converting formatted search results into a user-friendly format.

[1996] Output: The final search results that are displayed to the user.

[1997] What it does: Visually displays information using HTML and JavaScript.

[1998] Step 10: Delete information

[1999] Input: The server receives notification that the session has ended.

[2000] Data processing: Delete session information and search logs from the database.

[2001] Output: Deletion completed.

[2002] Specific operation: Executes a MySQL database command (e.g., DELETE FROM sessions WHERE session_id=<session ID>) to delete the information.

[2003] keyword:

[2004] Generative AI model, prompt sentence

[2005] (Application example 2)

[2006] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[2007] Conventional search systems have had difficulty providing flexible search results that correspond to the user's emotional state. In particular, when a user is in a hurry or in a particular emotional state, they are unable to quickly obtain optimized information, resulting in a poor user experience. Furthermore, when data is diverse, selecting and filtering information and formatting search results takes time, making it difficult for users to quickly access the information they are looking for.

[2008] The specification process by the specification 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 authentication information, means for the server to receive the authentication information and perform authentication, means for the server to receive and analyze the search query, means for the server to use an emotion engine to analyze the user's emotional information, means for the server to call an API and perform information collection, means for the server to organize the collected data, means for the server to optimize and format search results based on the user's emotional state, means for the server to return the search results to the user, and means for the server to delete session information and search logs. This makes it possible to provide personalized search results according to the user's emotional state.

[2009] "User" refers to a person who accesses the system and enters a search query.

[2010] "Authentication information" refers to information such as a username and password that a user enters when accessing a system.

[2011] A "server" is a central system that receives search queries and authentication information entered by users and performs various processes.

[2012] A "search query" is a keyword or phrase that a user enters into a system to search for specific information.

[2013] "Analysis" means receiving input data or queries, understanding their contents, and processing them.

[2014] The "emotion engine" is a system that analyzes the user's facial expressions, voice tone, input speed, etc. to recognize the user's emotional state.

[2015] "API" stands for Application Programming Interface, an interface that enables communication with external programs and services.

[2016] "Information gathering" refers to obtaining necessary information from the Internet or databases.

[2017] "Organizing" means summarizing the acquired information in a way that is easy for the user to understand.

[2018] "Optimization" means adjusting information to meet the user's needs and providing it in the most optimal format.

[2019] "Formatting" means converting information or data into a usable format.

[2020] "Session information" is information for managing a series of operations and states while a user is accessing the system.

[2021] "Search log" refers to the search history and operation history performed by a user using the system.

[2022] A "database" is a system that allows efficient management of data and enables high-speed search and retrieval.

[2023] A "generative AI model" is a machine learning model that generates new information based on given data.

[2024] A "prompt" is a textual instruction given as input to a generative AI model.

[2025] To implement this invention, the following elements are required:

[2026] 1. User authentication:

[2027] The user enters authentication information (username and password) through the interface of the smart glasses. The smart glasses send the authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, generates session information and returns it to the user.

[2028] 2. Receiving and parsing search requests:

[2029] Users enter search queries using the smart glasses' voice recognition or touch input. The queries are then sent to the server along with an emotion engine that analyzes the user's emotional state. The emotion engine analyzes the user's facial expressions and tone of voice in real time to generate emotion data.

[2030] 3. Use the Emotion Engine:

[2031] The emotion engine analyzes users' typing behavior and reactions as they browse search results. If a user is in a hurry or in a particular emotional state, they may want quicker, more concise information, so it uses emotion data to optimize search results.

[2032] 4. API calls to gather information:

[2033] The server collects information from the internet through the API of Azure's AI model, analyzes and organizes the data, and converts it into a format that is easy for users to understand.

[2034] 5. Search Result Optimization and Display:

[2035] The server optimizes the collected data based on the user's emotional state. For example, if the user is in a hurry, search results will be adjusted to be more concise and quick. The optimized search results are then sent back to the smart glasses and served to the user.

[2036] 6. Delete session information and logs:

[2037] After the search process is completed, the server will properly delete the session information and search log, thereby protecting the user's privacy.

[2038] The primary hardware used includes smart glasses equipped with a camera and microphone, and the primary software used includes the Azure Face API and APIs for generative AI models.

[2039] Examples:

[2040] User authentication example:

[2041] The user enters their ID and password on the login page of the smart glasses. The smart glasses then send the information to the server, which then verifies its validity and generates and returns a session ID.

[2042] Example search request and sentiment engine:

[2043] When a user searches for "latest fashion," the emotion engine recognizes the emotion of impatience. This emotion information is sent along with the search query to the server, which optimizes the information to display results more quickly and concisely.

[2044] Example prompt sentence:

[2045] "Analyze user images to optimize for the search query: 'New summer fashion.' Sentiment data: {'anger': 0.0, 'contempt': 0.0, 'disgust': 0.0, 'fear': 0.0, 'happiness': 0.8, 'neutral': 0.15, 'sadness': 0.0, 'surprise': 0.05}."

[2046] In this way, analyzing the user's emotional state and providing individually optimized search results creates a more comfortable and efficient virtual shopping experience.

[2047] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2048] Step 1:

[2049] The user enters authentication information (username and password) into the smart glasses.

[2050] Input: Username, Password

[2051] Output: Request with authentication information

[2052] What happens: The user enters their credentials using the smart glasses' touch interface or voice input.

[2053] Step 2:

[2054] The terminal sends authentication information to the server, which then checks it against a database to perform authentication.

[2055] Input: Credentials

[2056] Output: Authentication result (success or failure), session ID (if successful)

[2057] Specific operation: The server checks the submitted authentication information against the database, and if authentication is successful, generates a session ID and returns it to the user.

[2058] Step 3:

[2059] A user enters a search query through the search interface of the smart glasses.

[2060] Input: Search query

[2061] Output: A request containing a search query

[2062] Specific Action: A user enters a specific search query using voice input or a touch interface.

[2063] Step 4:

[2064] The device captures the user's facial expression along with the search query using a camera and sends the image data to the server.

[2065] Input: search query, facial expression image

[2066] Output: A request containing a search query and an expression image

[2067] How it works: The smart glasses' built-in camera captures the user's facial expressions in real time and sends the image data along with the search query to the server.

[2068] Step 5:

[2069] The server analyzes the received facial expression images and recognizes the user's emotional state using an emotion engine.

[2070] Input: facial expression image

[2071] Output: Emotion data

[2072] Specific operation: The server uses the Azure Face API to analyze facial expression images and generate the user's emotional data (e.g., happiness, surprise, sadness, etc.).

[2073] Step 6:

[2074] The server generates optimized prompts based on emotional data and collects information through the API of the generative AI model.

[2075] Input: search query, sentiment data

[2076] Output: Information retrieved from the internet

[2077] How it works: Collect information by sending prompts containing user emotion data to the generative AI model. For example, "Analyze emotions from user images and optimize the following search query: 'New summer fashions.' Emotion data: {'anger': 0.0, 'contempt': 0.0, 'disgust': 0.0, 'fear': 0.0, 'happiness': 0.8, 'neutral': 0.15, 'sadness': 0.0, 'surprise': 0.05}."

[2078] Step 7:

[2079] The server analyzes the information obtained from the generative AI model and optimizes and shapes search results based on the user's emotional state.

[2080] Input: Acquired information, emotional data

[2081] Output: Optimized search results

[2082] Specific operation: The server analyzes the acquired information, optimizes it based on the user's emotional data, and formats it into an easy-to-read format.

[2083] Step 8:

[2084] The server sends the optimized search results to the device, which displays them on the smart glasses.

[2085] Input: Optimized search results

[2086] Output: The results displayed on the terminal

[2087] Specific operation: The server sends the optimized search results to the terminal, which displays the results on the smart glasses.

[2088] Step 9:

[2089] After the server completes the search process, it deletes the session information and search log to protect the user's privacy.

[2090] Input: Processing end status

[2091] Output: Deletion completed status

[2092] What happens: The server verifies and securely deletes session information and search logs.

[2093] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[2094] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[2095] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2096] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[2097] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[2098] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[2099] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[2100] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[2101] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[2102] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[2103] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[2104] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[2105] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[2106] 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.

[2107] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[2108] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[2109] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[2110] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[2111] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[2112] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[2113] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[2114] The following is further disclosed regarding the above embodiment.

[2115] (Claim 1)

[2116] means for a user to enter authentication information;

[2117] a means by which the server receives authentication information and performs authentication;

[2118] a means by which the server receives and analyzes the search query;

[2119] A means for the server to call the API and perform web crawling;

[2120] a means by which the server organizes the collected data;

[2121] A means for the server to format and return search results to the user;

[2122] a means for the server to delete session information and search logs;

[2123] A system including:

[2124] (Claim 2)

[2125] means for the server to generate a session corresponding to the user;

[2126] The server also propagates the search results to the internal document database to search for related documents;

[2127] A means for the server to integrate the results of web crawling with the search results of internal documents;

[2128] 10. The system of claim 1, comprising:

[2129] (Claim 3)

[2130] The server analyzes the query and uses Azure OpenAI API to collect information.

[2131] A means for converting the data acquired by the server into a format that is easy for the user to view and display it;

[2132] 10. The system of claim 1, comprising:

[2133] "Example 1"

[2134] (Claim 1)

[2135] means for a user to enter authentication information;

[2136] A means for the terminal to transmit authentication information to a server;

[2137] a means by which the server receives authentication information and performs authentication;

[2138] a means by which the server creates a session for the user;

[2139] means for a user to input a search query;

[2140] means for the terminal to transmit a search query to a server;

[2141] a means by which the server parses the search query;

[2142] A means for the server to call the API and perform information collection;

[2143] a means by which the server organizes the collected data;

[2144] A means for the server to format and return search results to the user;

[2145] a means for the server to delete session information and search logs;

[2146] A system including:

[2147] (Claim 2)

[2148] The server also propagates the search results to the internal document database to search for related documents;

[2149] A means for the server to integrate the results of web crawling with the search results of internal documents;

[2150] 10. The system of claim 1, comprising:

[2151] (Claim 3)

[2152] A means for the server to analyze the query and use the API of the generative AI model to collect information;

[2153] A means for converting the data acquired by the server into a format that is easy for the user to view and display it;

[2154] 10. The system of claim 1, comprising:

[2155] "Application Example 1"

[2156] (Claim 1)

[2157] means for a user to enter authentication information;

[2158] a means by which the server receives authentication information and performs authentication;

[2159] a means by which the server receives and analyzes the search query;

[2160] A means for the server to call the API and perform web crawling;

[2161] a means by which the server organizes the collected data;

[2162] A means for the server to format and return search results to the user;

[2163] a means for the server to delete session information and search logs;

[2164] A means for providing a user interface using a smart device;

[2165] A means of integrating and providing data from internal databases and external sources;

[2166] A system including:

[2167] (Claim 2)

[2168] means for the server to generate a session corresponding to the user;

[2169] The server also propagates the search results to the internal document database to search for related documents;

[2170] A means for the server to integrate the results of web crawling with the search results of internal documents;

[2171] A means for displaying results using a smart device;

[2172] 10. The system of claim 1, comprising:

[2173] (Claim 3)

[2174] A means for the server to analyze the query and use the API of the generative AI model to collect information;

[2175] A means for converting the data acquired by the server into a format that is easy for the user to view and display it;

[2176] a means for providing results to a user interface using prompt statements;

[2177] 10. The system of claim 1, comprising:

[2178] "Example 2: Combining Emotion Engines"

[2179] (Claim 1)

[2180] means for a user to enter authentication information;

[2181] a means by which the server receives authentication information and performs authentication;

[2182] a means by which the server receives and analyzes the search query;

[2183] A means for the server to analyze input actions and facial expressions and recognize the user's emotions;

[2184] A means for the server to call the API and perform web crawling;

[2185] a means by which the server organizes the collected data;

[2186] A means for the server to integrate the analysis information and emotion recognition results, format the search results, and return them to the user;

[2187] a means for the server to delete session information and search logs;

[2188] A system including:

[2189] (Claim 2)

[2190] means for the server to generate a session corresponding to the user;

[2191] a means for the server to propagate the search results to a document database and search for related documents;

[2192] a means for the server to integrate the web crawling results with the document search results;

[2193] 10. The system of claim 1, comprising:

[2194] (Claim 3)

[2195] A means for the server to analyze the query and use machine learning APIs to gather information;

[2196] A means for converting the data acquired by the server into a format that is easy for the user to view and display it;

[2197] 10. The system of claim 1, comprising:

[2198] "Application example 2 when combining emotion engines"

[2199] (Claim 1)

[2200] means for a user to enter authentication information;

[2201] a means by which the server receives authentication information and performs authentication;

[2202] a means by which the server receives and analyzes the search query;

[2203] A means for the server to use an emotion engine to analyze the emotion information of the user;

[2204] A means for the server to call the API and perform information collection;

[2205] a means by which the server organizes the collected data;

[2206] means by which the server optimizes and shapes search results based on the emotional state of the user;

[2207] a means for the server to return search results to the user;

[2208] a means for the server to delete session information and search logs;

[2209] A system including:

[2210] (Claim 2)

[2211] means for the server to generate a session corresponding to the user;

[2212] a means for the server to propagate the search results to a document database and search for related documents;

[2213] A means for the server to integrate the information collection results with the document database search results;

[2214] 10. The system of claim 1, comprising:

[2215] (Claim 3)

[2216] A means for the server to analyze the query and use the API of the generative AI model to collect information;

[2217] A means for converting the data acquired by the server into a format that is easy for the user to view and display it;

[2218] 10. The system of claim 1, comprising: [Explanation of symbols]

[2219] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for a user to enter authentication information; a means by which the server receives authentication information and performs authentication; a means by which the server receives and analyzes the search query; A means for the server to call the API and perform web crawling; a means by which the server organizes the collected data; A means for the server to format and return search results to the user; a means for the server to delete session information and search logs; A system including:

2. means for the server to generate a session corresponding to the user; The server also propagates the search results to the internal document database to search for related documents; A means for the server to integrate the results of web crawling with the search results of internal documents; The system of claim 1 , comprising:

3. The server analyzes the query and uses Azure OpenAI API to collect information. A means for converting the data acquired by the server into a format that is easy for the user to view and display it; The system of claim 1 , comprising:

Images